ASV
High income
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Notiek datu ielāde – lūdzu, uzgaidiet
Valstī pastāvošie ar aptaukošanos saistītie riski *8/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Aptaukošanās risks bērnībā *8,5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Aptaukošanās izplatība
Tendences, kas veidojas laika gaitā
Lejupielādēt ziņojumu kartīti
Ziņojuma kartītē apkopotas visas jaunākās grafikas izvēlētajai valstij. Ja vēlaties izveidot pielāgotu pārskatu, pamatojoties uz atlasītajām grafikām, vienkārši pieskarieties pogai "Pievienot pielāgotu PDF" zem grafikas, kuru vēlaties izmantot.Iedzīvotāju sadalījums
Ietekmējošie faktori
Nepietiekamas aktivitātes
Augļu patēriņš
Pārstrādātas gaļas patēriņš
Graudaugu patēriņš
Depresija
Trauksme
Aptaukošanās cēloņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Barošana ar krūti
Unaffordable diet
Lejupielādēt ziņojumu kartīti
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
Kolorektālais vēzis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
Paaugstināts asinsspiediens
Paaugstināts holesterīna līmenis
Paaugstināts glikozes līmenis asinīs
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Lejupielādēt ziņojumu kartīti
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Valsts stratēģija attiecībā uz aptaukošanos
Stratēģija uztura vai veselības jomā
Mārketings
Fiziska aktivitāte
Nodokļi/subsīdijas pārtikai vai dzērieniem
Sabiedrības iniciatīvas
Starptautiskās stratēģijas saistībā ar aptaukošanos
Marķējums
NCD stratēģija
Regulations (voluntary/pledges)
Pārvaldības vai apstrādes vadlīnijas
Training
Non-national strategies
School Food Regulations
Barošana ar krūti
Obesity Target
Multisectoral national mechanism for obesity
Lejupielādēt ziņojumu kartīti
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2021-2023
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 4993 |
Aptvertā teritorija: | Valsts |
Atsauces: | Reanalysis of NHANES 2021-2023 by Rachel Jackson Leach, World Obesity Federation |
Definīcijas (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 5429 |
Aptvertā teritorija: | Valsts |
Atsauces: | Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 5406 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 5455 |
Aptvertā teritorija: | Valsts |
Atsauces: | Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2011-2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 5181 |
Aptvertā teritorija: | Valsts |
Atsauces: | Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2009-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 5926 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2007-2008
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 5555 |
Aptvertā teritorija: | Valsts |
Atsauces: | Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2003-2004
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 4431 |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2003
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Atsauces: | Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 |
Piezīmes (pieejamas tikai angļu valodā): | 1999-2000, 2001-2, 2003-4 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2001-2002
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Atsauces: | Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2000
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Atsauces: | Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 |
Piezīmes (pieejamas tikai angļu valodā): | 1999-2000, 2001-2, 2003-4 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1999-2000
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-74 |
Izlases lielums: | 3601 |
Atsauces: | Centres for Disease Control and Prevention. http://www.cdc.gov/ |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1999
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Atsauces: | Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 |
Piezīmes (pieejamas tikai angļu valodā): | 1999-2000, 2001-2, 2003-4 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1991
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-74 |
Atsauces: | Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 |
Piezīmes (pieejamas tikai angļu valodā): | 1971-74 (marked as 1973), 1988-94 marked as 1991 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1988-1994
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-74 |
Atsauces: | Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1976
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-74 |
Atsauces: | Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 |
Piezīmes (pieejamas tikai angļu valodā): | 1971-74 (marked as 1973), 1988-94 marked as 1991 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1973
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-74 |
Atsauces: | Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 |
Piezīmes (pieejamas tikai angļu valodā): | 1971-74 (marked as 1973), 1988-94 marked as 1991 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1971-1974
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-74 |
Atsauces: | Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1960-1962
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-74 |
Atsauces: | Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1960
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-74 |
Atsauces: | Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 |
Piezīmes (pieejamas tikai angļu valodā): | 1971-74 (marked as 1973), 1988-94 marked as 1991 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 2086 |
Aptvertā teritorija: | Valsts |
Atsauces: | Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation |
Cutoffs: | IOTF |
Bērni, 2017-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | 4749 |
Aptvertā teritorija: | Valsts |
Atsauces: | Stierman B, Afful J, Carroll MD, Chen TC, Davy O, Fink S, et al. National Health and Nutrition Examination Survey (NHANES) 2017–March 2020 prepandemic data files—Development of files and prevalence estimates for selected health outcomes. National Health Statistics Reports; no 158. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://dx.doi.org/10.15620/cdc:106273 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Definīcijas (pieejamas tikai angļu valodā): | Obesity is defined as a body mass index of greater than or equal to the age- and sex-specific 95th percentile of the 2000 Centers for Disease Control and Prevention Growth Charts. Children and adolescents were included and categorized into age categories based on age at examination in months. |
Bērni, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 2398 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Cutoffs: | IOTF |
Bērni, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 1927 |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | Sample size based on 5-9yrs, 13-17yrs IOTF International Cut off |
Cutoffs: | IOTF |
Bērni, 2011-2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-11 |
Izlases lielums: | 1268 |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA (2014)26;311(8):806-14. |
Piezīmes (pieejamas tikai angļu valodā): | 85th & 95th Centile CDC cut off |
Cutoffs: | CDC |
Bērni, 2009-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 2435 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES IASO analysis |
Piezīmes (pieejamas tikai angļu valodā): | IOTF cut off (monthly) |
Cutoffs: | IOTF |
Bērni, 2003-2004
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-17 |
Izlases lielums: | 2613 |
Aptvertā teritorija: | Valsts |
Atsauces: | Lobstein T, Jackson - Leach R. Child overweight and obesity in the USA: prevalence rates according to IOTF definitions. Int J Pediatr Obes. 2007;2(1):62-4. |
Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
Bērni, 2001-2002
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-11 |
Izlases lielums: | 4258 |
Atsauces: | Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 |
Piezīmes (pieejamas tikai angļu valodā): | Child Cut-Off: 85/95 Centile (see paper for further details) |
Cutoffs: | Other |
Bērni, 1999-2000
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-11 |
Izlases lielums: | 4018 |
Atsauces: | Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 |
Piezīmes (pieejamas tikai angļu valodā): | Cut-off point: 85/95 Centile (see paper for further details) |
Cutoffs: | Other |
Bērni, 1988-1994
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-17 |
Izlases lielums: | 6108 |
Atsauces: | Wang Y, Monteiro C, Popkin B. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. American Journal of Clinical Nutrition 2002;75:971-7 |
Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3 |
Cutoffs: | IOTF |
Bērni, 1971-1974
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-17 |
Izlases lielums: | 4471 |
Atsauces: | Wang Y, Monteiro C, Popkin B. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. American Journal of Clinical Nutrition 2002;75:971-7 |
Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3 |
Cutoffs: | IOTF |
0-5 years, 2017-2018
Vecums: | 0-5 |
Atsauces: | NHANES: United States National Health and Nutrition Examination Survey 2017-2018. Hyattsville, United States: National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC) |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2015-2016
Vecums: | 0-5 |
Atsauces: | NHANES: United States National Health and Nutrition Examination Survey 2015-2016. Hyattsville, United States: National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC). |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2013-2014
Vecums: | 0-5 |
Atsauces: | NHANES: National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, CDC, [2013-14] |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2011-2012
Vecums: | 0-5 |
Atsauces: | NHANES: National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, CDC, [2011-12] |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2009-2010
Vecums: | 0-5 |
Atsauces: | NHANES: National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, CDC, [2009-10] |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2007-2008
Vecums: | 0-5 |
Atsauces: | NHANES: National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, CDC, [2007-08] |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2005-2006
Vecums: | 0-5 |
Atsauces: | NHANES: National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, CDC, [2005-06] |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2003-2004
Vecums: | 0-5 |
Atsauces: | NHANES: National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, CDC, [2003-04] |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2001-2002
Vecums: | 0-5 |
Atsauces: | NHANES: United States National Health and Nutrition Examination Survey 2001-2002. Hyattsville, United States: National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC). |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1999-1900
Vecums: | 0-5 |
Atsauces: | NHANES: United States National Health and Nutrition Examination Survey 1999-2000. Hyattsville, United States: National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC). |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1988-1994
Vecums: | 0-5 |
Atsauces: | NHANES: Third national health and nutrition examination survey, 1988-94 (NHANES III). Vital Health Statistics 1994;32:1-2 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
% Adults living with obesity in the United States 1960-2017
Vīrieši
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000, 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2017: Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Sievietes
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000, 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2017: Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Adults living with overweight or obesity in the United States 1960-2017
Sievietes
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1999, 2000, 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2017: Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Vīrieši
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1999, 2000, 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2017: Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Adults living with severe obesity in the United States 1960-1997
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 |
Piezīmes (pieejamas tikai angļu valodā): | 1971-74 (marked as 1973), 1988-94 marked as 1991 Aged 20-74 |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Adults living with severe obesity in the United States 1999-2003
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 |
Piezīmes (pieejamas tikai angļu valodā): | 1999-2000, 2001-2, 2003-4 Aged 20+ |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Children living with overweight or obesity in the United States 1999-2011
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1999, 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2011: Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA (2014)26;311(8):806-14. |
Piezīmes (pieejamas tikai angļu valodā): | Aged 6-11 |
Definīcijas (pieejamas tikai angļu valodā): | 85th & 95th Centile CDC cut off |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Children living with overweight or obesity in the United States 2003-2017
Zēni
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 2003: Lobstein T, Jackson - Leach R. Child overweight and obesity in the USA: prevalence rates according to IOTF definitions. Int J Pediatr Obes. 2007;2(1):62-4. 2009: NHANES IASO analysis 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2017: Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | Aged 5-17 |
Definīcijas (pieejamas tikai angļu valodā): | IOTF |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Meitenes
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 2003: Lobstein T, Jackson - Leach R. Child overweight and obesity in the USA: prevalence rates according to IOTF definitions. Int J Pediatr Obes. 2007;2(1):62-4. 2009: NHANES IASO analysis 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2017: Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | Aged 5-17 |
Definīcijas (pieejamas tikai angļu valodā): | IOTF |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Adults living with obesity in selected countries in the Americas Region 1960-2018, atlasītās valstis
Vīrieši
Atsauces: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Sievietes
Atsauces: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Adults living with obesity in selected countries worldwide 1976-2018, atlasītās valstis
Vīrieši
Atsauces: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1982, 1993: Rodriguez-Ojea A, Jimenez S, Berdasco A, Esquivel M. The nutrition transition in Cuba in the nineties:an overview. Public health Nutrition 2002:5(1A), 129-133 1985: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 Aug;29(8):916-24 1990: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 online published ahead of print. 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Scottish Health Survey 1998 1999: Health Survey for England 1999. 2000: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2001: Health Survey for England 2001. 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Peltonen M, Harald K, Männistö S, Saarikoski L, Lund L, Sundvall J, Juolevi A, Laatikainen T, Aldén-Nieminen H, Luoto R, Jousilahti P, Salomaa V, Taimi M, Vartiainen E. Kansallinen FINRISKI 2007 –terveystutkimus, Tutkimuksen toteutus ja tulokset: Taulukkoliite. Kansanterveyslaitos. Yliopistopaino, Helsinki 2008. 2008: Health Survey for England 2008. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Health Survey for England 2010 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 2012: Scottish Health Survey http://www.scotland.gov.uk/Resource/0043/00434590.pdf 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Scottish Health Survey 2016 (http://www.gov.scot/Publications/2017/10/2970/downloads last accessed 3rd October 2017) Link to Key stats report - http://www.gov.scot/Resource/0052/00525366.pdf Link to Main Report - http://www.gov.scot/Resource/0052/00525472.pdf 2017: Health Survey for England 2017 https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2017 (last accessed 4.12.18) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2022: Health Survey for England 2022. Available at https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2022-part-2 (last accessed 08.10.24) |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Sievietes
Atsauces: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1982, 1993: Rodriguez-Ojea A, Jimenez S, Berdasco A, Esquivel M. The nutrition transition in Cuba in the nineties:an overview. Public health Nutrition 2002:5(1A), 129-133 1985: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 Aug;29(8):916-24 1990: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 online published ahead of print. 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Scottish Health Survey 1998 1999: Health Survey for England 1999. 2000: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2001: Health Survey for England 2001. 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Peltonen M, Harald K, Männistö S, Saarikoski L, Lund L, Sundvall J, Juolevi A, Laatikainen T, Aldén-Nieminen H, Luoto R, Jousilahti P, Salomaa V, Taimi M, Vartiainen E. Kansallinen FINRISKI 2007 –terveystutkimus, Tutkimuksen toteutus ja tulokset: Taulukkoliite. Kansanterveyslaitos. Yliopistopaino, Helsinki 2008. 2008: Health Survey for England 2008. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Health Survey for England 2010 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 2012: Scottish Health Survey http://www.scotland.gov.uk/Resource/0043/00434590.pdf 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Scottish Health Survey 2016 (http://www.gov.scot/Publications/2017/10/2970/downloads last accessed 3rd October 2017) Link to Key stats report - http://www.gov.scot/Resource/0052/00525366.pdf Link to Main Report - http://www.gov.scot/Resource/0052/00525472.pdf 2017: Health Survey for England 2017 https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2017 (last accessed 4.12.18) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2022: Health Survey for England 2022. Available at https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2022-part-2 (last accessed 08.10.24) |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Liekais svars/aptaukošanās pēc izglītības
Vīrieši, 2021-2023
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 4993 |
Aptvertā teritorija: | Valsts |
Atsauces: | Reanalysis of NHANES 2021-2023 by Rachel Jackson Leach, World Obesity Federation |
Definīcijas (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2021-2023
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 4993 |
Aptvertā teritorija: | Valsts |
Atsauces: | Reanalysis of NHANES 2021-2023 by Rachel Jackson Leach, World Obesity Federation |
Definīcijas (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 5350 (unweighted) |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2017/18 Reanalysis by Rachel Jackson Leach, Jaynaide Powis, World Obesity Federation, March 2020 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 5350 (unweighted) |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2017/18 Reanalysis by Rachel Jackson Leach, Jaynaide Powis, World Obesity Federation, March 2020 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 5202 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 5202 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 9055 |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 9055 |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2007-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | CDC/NCHS, National Health and Nutrition Examination Survey. |
Piezīmes (pieejamas tikai angļu valodā): | Age-adjusted estimates are adjusted using three age groups: 25-44 years, 45-64 years, and 65 years and over. GED is General Educational Development high school equivalency diploma. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2007-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | CDC/NCHS, National Health and Nutrition Examination Survey. |
Piezīmes (pieejamas tikai angļu valodā): | Age-adjusted estimates are adjusted using three age groups: 25-44 years, 45-64 years, and 65 years and over. GED is General Educational Development high school equivalency diploma. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2022-2023
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 6-17 |
Izlases lielums: | 64,946 |
Aptvertā teritorija: | Valsts |
Atsauces: | Child and Adolescent Health Measurement Initiative. 2022-2023 National Survey of Children’s Health (NSCH) data query. Data Resource Center for Child and Adolescent Health supported by the U.S. Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB). Retrieved [19.05.2025] from [www.childhealthdata.org]. |
Piezīmes (pieejamas tikai angļu valodā): | BMI categories for children and teens are based on sex-specific BMI-for-age percentiles from the CDC. BMI-for-age categories are: Overweight - 85th<95th percentile; Obese - =>95th percentile. Parents typically overestimate height and underestimate weight of children younger than 10 years of age. Therefore, BMI for children under 10 years of age should be interpreted with caution |
Zēni, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 2315 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Cutoffs: | Other |
Meitenes, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 2315 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Cutoffs: | Other |
Zēni, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-9 |
Izlases lielums: | 1883 |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off used 13-17yrs also available |
Cutoffs: | IOTF |
Meitenes, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-9 |
Izlases lielums: | 1883 |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off used 13-17yrs also available |
Cutoffs: | IOTF |
Zēni, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 13-17 |
Izlases lielums: | 1883 (5-9rs & 13-17yrs) |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off used 5-9yrs also available |
Cutoffs: | IOTF |
Meitenes, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 13-17 |
Izlases lielums: | 1883 (5-9rs & 13-17yrs) |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off used 5-9yrs also available |
Cutoffs: | IOTF |
Zēni, 2007-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | CDC/NCHS, National Health and Nutrition Examination Survey. |
Piezīmes (pieejamas tikai angļu valodā): | Obesity among children 2-19 years of age, by sex of child and education level of head of household. Obesity is body mass index (BMI) at or above the sex- and age-specific 95th percentile BMI cutoff points from the 2000 CDC Growth Charts. GED is General Educational Development high school equivalency diploma. |
Cutoffs: | CDC |
Meitenes, 2007-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | CDC/NCHS, National Health and Nutrition Examination Survey. |
Piezīmes (pieejamas tikai angļu valodā): | Obesity among children 2-19 years of age, by sex of child and education level of head of household. Obesity is body mass index (BMI) at or above the sex- and age-specific 95th percentile BMI cutoff points from the 2000 CDC Growth Charts. GED is General Educational Development high school equivalency diploma. |
Cutoffs: | CDC |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2021-2023
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 4993 |
Aptvertā teritorija: | Valsts |
Atsauces: | Reanalysis of NHANES 2021-2023 by Rachel Jackson Leach, World Obesity Federation |
Definīcijas (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 5432 (unweighted) |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2017/18 Reanalysis by Rachel Jackson Leach, Jaynaide Powis, World Obesity Federation, March 2020 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 5406 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2011-2012
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity among adults: United States, 2011–2012. NCHS data brief, no 131. Hyattsville, MD: National Center for Health Statistics. 2013 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2011-2014
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of obesity among adults and youth: United States, 2011–2014. NCHS data brief, no 219. Hyattsville, MD: National Center for Health Statistics. 2015 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 2086 (unweighted) |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2017/18 Reanalysis by Rachel Jackson Leach, Jaynaide Powis, World Obesity Federation, March 2020 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Cutoffs: | IOTF |
Bērni, 2017-2020
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 4749 |
Aptvertā teritorija: | Valsts |
Atsauces: | Stierman B, Afful J, Carroll MD, Chen TC, Davy O, Fink S, et al. National Health and Nutrition Examination Survey (NHANES) 2017–March 2020 prepandemic data files—Development of files and prevalence estimates for selected health outcomes. National Health Statistics Reports; no 158. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://dx.doi.org/10.15620/cdc:106273 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Definīcijas (pieejamas tikai angļu valodā): | Obesity is defined as a body mass index of greater than or equal to the age- and sex-specific 95th percentile of the 2000 Centers for Disease Control and Prevention Growth Charts. Children and adolescents were included and categorized into age categories based on age at examination in months. |
Bērni, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 2088 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Cutoffs: | IOTF |
Bērni, 2011-2014
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of obesity among adults and youth: United States, 2011–2014. NCHS data brief, no 219. Hyattsville, MD: National Center for Health Statistics. 2015 |
Piezīmes (pieejamas tikai angļu valodā): | Obesity in children is defined as a BMI of greater than or equal to the age- and sex-specific 95th percentile of the 2000 CDC growth charts. |
Cutoffs: | CDC |
Bērni, 2011-2012
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 3355 |
Aptvertā teritorija: | Valsts |
Atsauces: | CDC/NCHS, National Health and Nutrition Examination Survey. |
Piezīmes (pieejamas tikai angļu valodā): | Obesity is body mass index greater than or equal to the 95th percentile from the sex- and age-specific 2000 CDC Growth Charts. |
Cutoffs: | cdc |
Liekais svars/aptaukošanās pēc reģiona
Pieaugušie, 2023
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Izlases lielums: | 392788 |
Aptvertā teritorija: | Valsts |
Atsauces: | Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health. BRFSS Prevalence & Trends Data [online]. 2025. [accessed Mon, 19 May 2025]. URL: https://www.cdc.gov/brfss/brfssprevalence/. |
Piezīmes (pieejamas tikai angļu valodā): | NOT NHANES, States and Territories N-Z (inclusive), Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2023
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Izlases lielums: | 392788 |
Aptvertā teritorija: | Valsts |
Atsauces: | Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health. BRFSS Prevalence & Trends Data [online]. 2025. [accessed Mon, 19 May 2025]. URL: https://www.cdc.gov/brfss/brfssprevalence/. |
Piezīmes (pieejamas tikai angļu valodā): | NOT NHANES, States and Territories A-M (inclusive), Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2014
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Behavorial Risk Factor Surveillance System, CDC. Found at http://www.cdc.gov/obesity/data/prevalence-maps.html (last accessed 20th April 2016) |
Piezīmes (pieejamas tikai angļu valodā): | NOT NHANES States and Territories N-Z (inclusive) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2014
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Behavorial Risk Factor Surveillance System, CDC. Found at http://www.cdc.gov/obesity/data/prevalence-maps.html (last accessed 20th April 2016) |
Piezīmes (pieejamas tikai angļu valodā): | NOT NHANES States and Territories A - M (inclusive) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2022-2023
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 6-17 |
Aptvertā teritorija: | Valsts |
Atsauces: | Child and Adolescent Health Measurement Initiative. 2022-2023 National Survey of Children’s Health (NSCH) data query. Data Resource Center for Child and Adolescent Health supported by the U.S. Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB). Retrieved [19.05.2025] from [www.childhealthdata.org]. |
Definīcijas (pieejamas tikai angļu valodā): | BMI categories for children and teens are based on sex-specific BMI-for-age percentiles from the CDC. BMI-for-age categories are: Overweight - 85th<95th percentile; Obese - =>95th percentile Parents typically overestimate height and underestimate weight of children younger than 10 years of age. Therefore, BMI for children under 10 years of age should be interpreted with caution. States A-M (inclusive) |
Bērni, 2022-2023
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 6-17 |
Aptvertā teritorija: | Valsts |
Atsauces: | Child and Adolescent Health Measurement Initiative. 2022-2023 National Survey of Children’s Health (NSCH) data query. Data Resource Center for Child and Adolescent Health supported by the U.S. Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB). Retrieved [19.05.2025] from [www.childhealthdata.org]. |
Piezīmes (pieejamas tikai angļu valodā): | BMI categories for children and teens are based on sex-specific BMI-for-age percentiles from the CDC. BMI-for-age categories are: Overweight - 85th<95th percentile; Obese - =>95th percentile. Parents typically overestimate height and underestimate weight of children younger than 10 years of age. Therefore, BMI for children under 10 years of age should be interpreted with caution. States N-Z (inclusive) |
Bērni, 2019-2020
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 10-17 |
Izlases lielums: | 23199 |
Aptvertā teritorija: | Valsts |
Atsauces: | Crouch E, Abshire DA, Wirth MD, Hung P, Benavidez GA. Rural–Urban Differences in Overweight and Obesity, Physical Activity, and Food Security Among Children and Adolescents. Prev Chronic Dis 2023;20:230136. DOI: http://dx.doi.org/10.5888/pcd20.230136 |
Definīcijas (pieejamas tikai angļu valodā): | Children were considered overweight and obese if their body mass index (BMI) was at or above the 85th percentile for age and gender according to growth charts from the National Center for Health Statistics (NCHS) |
Zēni, 1999-2006
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | 15479 |
Aptvertā teritorija: | Valsts |
Atsauces: | Liu J, Jones SJ, Sun H, et al. Diet, physical activity, and sedentary behaviors as risk factors for childhood obesity: An urban and rural comparison. Child Obes 2012;8:440–448 |
Piezīmes (pieejamas tikai angļu valodā): | Children were considered overweight and obese if their body mass index (BMI) was at or above the 85th percentile for age and gender according to growth charts from the National Center for Health Statistics (NCHS). |
Cutoffs: | Other |
Meitenes, 1999-2006
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | 15479 |
Aptvertā teritorija: | Valsts |
Atsauces: | Liu J, Jones SJ, Sun H, et al. Diet, physical activity, and sedentary behaviors as risk factors for childhood obesity: An urban and rural comparison. Child Obes 2012;8:440–448 |
Piezīmes (pieejamas tikai angļu valodā): | Children were considered overweight and obese if their body mass index (BMI) was at or above the 85th percentile for age and gender according to growth charts from the National Center for Health Statistics (NCHS). |
Cutoffs: | Other |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Pieaugušie, 2022
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Izlases lielums: | 329386 |
Aptvertā teritorija: | Valsts |
Atsauces: | Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health. BRFSS Prevalence & Trends Data [online]. 2025. [accessed Mon, 19 May 2025]. URL: https://nccd.cdc.gov/weat/index.html#/crossTabulation/selectYear |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2022
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Izlases lielums: | 329386 |
Aptvertā teritorija: | Valsts |
Atsauces: | Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health. BRFSS Prevalence & Trends Data [online]. 2025. [accessed Mon, 19 May 2025]. URL: https://nccd.cdc.gov/weat/index.html#/crossTabulation/selectYear |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2022
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Izlases lielums: | 329386 |
Aptvertā teritorija: | Valsts |
Atsauces: | Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health. BRFSS Prevalence & Trends Data [online]. 2025. [accessed Mon, 19 May 2025]. URL: https://nccd.cdc.gov/weat/index.html#/crossTabulation/selectYear |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 4638 (unweighted) |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2017/18 Reanalysis by Rachel Jackson Leach, Jaynaide Powis, World Obesity Federation, March 2020 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 4638 (unweighted) |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2017/18 Reanalysis by Rachel Jackson Leach, Jaynaide Powis, World Obesity Federation, March 2020 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 4904 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 4904 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-80 |
Izlases lielums: | 9055 |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | Total Household earnings per annum |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-80 |
Izlases lielums: | 9055 |
Aptvertā teritorija: | Valsts |
Atsauces: | Data from NHANES 2013/14. Data reanalysed by Danielle Sharfman (University of Wisconsin-Madison), Rachel Jackson Leach on behalf of the World Obesity Federation |
Piezīmes (pieejamas tikai angļu valodā): | Total Household earnings per annum |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2005-2008
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Lamb MM, Carroll MD, Flegal KM. Obesity and socioeconomic status in adults: United States 1988–1994 and 2005–2008. NCHS data brief no 50. Hyattsville, MD: National Center for Health Statistics. 2010 |
Piezīmes (pieejamas tikai angļu valodā): | Poverty income ratio (PIR): The ratio of household income to the poverty threshold after accounting for inflation and family size. In 2008, a PIR of 350% was equivalent to approximately $77,000 for a family of four; a PIR of 130% was equivalent to approximately $29,000 for a family of four. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2005-2008
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Lamb MM, Carroll MD, Flegal KM. Obesity and socioeconomic status in adults: United States 1988–1994 and 2005–2008. NCHS data brief no 50. Hyattsville, MD: National Center for Health Statistics. 2010 |
Piezīmes (pieejamas tikai angļu valodā): | Poverty income ratio (PIR): The ratio of household income to the poverty threshold after accounting for inflation and family size. In 2008, a PIR of 350% was equivalent to approximately $77,000 for a family of four; a PIR of 130% was equivalent to approximately $29,000 for a family of four. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2022-2023
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 6-17 |
Izlases lielums: | 64964 |
Aptvertā teritorija: | Valsts |
Atsauces: | Child and Adolescent Health Measurement Initiative. 2022-2023 National Survey of Children’s Health (NSCH) data query. Data Resource Center for Child and Adolescent Health supported by the U.S. Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB). Retrieved [19.05.2025] from [www.childhealthdata.org]. |
Piezīmes (pieejamas tikai angļu valodā): | BMI categories for children and teens are based on sex-specific BMI-for-age percentiles from the CDC. BMI-for-age categories are: Overweight - 85th<95th percentile; Obese - =>95th percentile Parents typically overestimate height and underestimate weight of children younger than 10 years of age. Therefore, BMI for children under 10 years of age should be interpreted with caution. |
Definīcijas (pieejamas tikai angļu valodā): | The family poverty ratio is calculated as the ratio of total family income to the family poverty threshold and reported as a rounded percentage. The family poverty threshold is derived from the Census Bureau’s poverty thresholds. Thresholds vary by family size and the number of related children under 18 years old |
Zēni, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 1852 (unweighted) |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2017/18 Reanalysis by Rachel Jackson Leach, Jaynaide Powis, World Obesity Federation, March 2020 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Cutoffs: | IOTF |
Meitenes, 2017-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 1852 (unweighted) |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2017/18 Reanalysis by Rachel Jackson Leach, Jaynaide Powis, World Obesity Federation, March 2020 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Cutoffs: | IOTF |
Zēni, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 2208 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Cutoffs: | IOTF |
Meitenes, 2015-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 2208 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 |
Cutoffs: | IOTF |
Zēni, 2005-2008
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Lamb MM, Carroll MD, Flegal, KM. Obesity and socioeconomic status in children: United States 1988-1994 and 2005-2008. NCHS data brief no 51. Hyattsville, MD: National Center for Health Statistics. 2010 |
Piezīmes (pieejamas tikai angļu valodā): | Obesity defined as Body mass index (BMI) ≥ age- and sex-specific 95th percentile of the 2000 CDC growth charts. Poverty income ratio (PIR): In 2008, a PIR of 350% was equivalent to approximately $77,000 for a family of four; a PIR of 130% was equivalent to approximately $29,000 for a family of four. |
Cutoffs: | CDC |
Meitenes, 2005-2008
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | Large National Survey |
Aptvertā teritorija: | Valsts |
Atsauces: | Ogden CL, Lamb MM, Carroll MD, Flegal, KM. Obesity and socioeconomic status in children: United States 1988-1994 and 2005-2008. NCHS data brief no 51. Hyattsville, MD: National Center for Health Statistics. 2010 |
Piezīmes (pieejamas tikai angļu valodā): | Obesity defined as Body mass index (BMI) ≥ age- and sex-specific 95th percentile of the 2000 CDC growth charts. Poverty income ratio (PIR): In 2008, a PIR of 350% was equivalent to approximately $77,000 for a family of four; a PIR of 130% was equivalent to approximately $29,000 for a family of four. |
Cutoffs: | CDC |
Liekais svars/aptaukošanās pēc etniskās piederības
Ethnic groups are as defined by publication of origin and are not as defined by WOF. In some instances ethnicity is conflated with nationality and/or race.
Pieaugušie, 2017-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 8295 |
Aptvertā teritorija: | Valsts |
Atsauces: | Stierman B, Afful J, Carroll MD, Chen TC, Davy O, Fink S, et al. National Health and Nutrition Examination Survey (NHANES) 2017–March 2020 prepandemic data files—Development of files and prevalence estimates for selected health outcomes. National Health Statistics Reports; no 158. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://dx.doi.org/10.15620/cdc:106273 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2017-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 8295 |
Aptvertā teritorija: | Valsts |
Atsauces: | Stierman B, Afful J, Carroll MD, Chen TC, Davy O, Fink S, et al. National Health and Nutrition Examination Survey (NHANES) 2017–March 2020 prepandemic data files—Development of files and prevalence estimates for selected health outcomes. National Health Statistics Reports; no 158. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://dx.doi.org/10.15620/cdc:106273 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2017-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 8295 |
Aptvertā teritorija: | Valsts |
Atsauces: | Stierman B, Afful J, Carroll MD, Chen TC, Davy O, Fink S, et al. National Health and Nutrition Examination Survey (NHANES) 2017–March 2020 prepandemic data files—Development of files and prevalence estimates for selected health outcomes. National Health Statistics Reports; no 158. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://dx.doi.org/10.15620/cdc:106273 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2022-2023
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 6-17 |
Izlases lielums: | 64964 |
Aptvertā teritorija: | Valsts |
Atsauces: | Child and Adolescent Health Measurement Initiative. 2022-2023 National Survey of Children’s Health (NSCH) data query. Data Resource Center for Child and Adolescent Health supported by the U.S. Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB). Retrieved [16.05.25] from [https://www.childhealthdata.org/browse/survey/results?q=10971&r=1&g=1155]. |
Piezīmes (pieejamas tikai angļu valodā): | BMI categories for children and teens are based on sex-specific BMI-for-age percentiles from the CDC. BMI-for-age categories are: Overweight - 85th<95th percentile; Obese - =>95th percentile |
Bērni, 2017-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | 4749 |
Aptvertā teritorija: | Valsts |
Atsauces: | Stierman B, Afful J, Carroll MD, Chen TC, Davy O, Fink S, et al. National Health and Nutrition Examination Survey (NHANES) 2017–March 2020 prepandemic data files—Development of files and prevalence estimates for selected health outcomes. National Health Statistics Reports; no 158. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://dx.doi.org/10.15620/cdc:106273 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Definīcijas (pieejamas tikai angļu valodā): | Obesity is defined as a body mass index of greater than or equal to the age- and sex-specific 95th percentile of the 2000 Centers for Disease Control and Prevention Growth Charts. Children and adolescents were included and categorized into age categories based on age at examination in months |
Zēni, 2017-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | 4749 |
Aptvertā teritorija: | Valsts |
Atsauces: | Stierman B, Afful J, Carroll MD, Chen TC, Davy O, Fink S, et al. National Health and Nutrition Examination Survey (NHANES) 2017–March 2020 prepandemic data files—Development of files and prevalence estimates for selected health outcomes. National Health Statistics Reports; no 158. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://dx.doi.org/10.15620/cdc:106273 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Definīcijas (pieejamas tikai angļu valodā): | Obesity is defined as a body mass index of greater than or equal to the age- and sex-specific 95th percentile of the 2000 Centers for Disease Control and Prevention Growth Charts. Children and adolescents were included and categorized into age categories based on age at examination in months |
Meitenes, 2017-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-19 |
Izlases lielums: | 4749 |
Aptvertā teritorija: | Valsts |
Atsauces: | Stierman B, Afful J, Carroll MD, Chen TC, Davy O, Fink S, et al. National Health and Nutrition Examination Survey (NHANES) 2017–March 2020 prepandemic data files—Development of files and prevalence estimates for selected health outcomes. National Health Statistics Reports; no 158. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://dx.doi.org/10.15620/cdc:106273 |
Piezīmes (pieejamas tikai angļu valodā): | Weighted |
Definīcijas (pieejamas tikai angļu valodā): | Obesity is defined as a body mass index of greater than or equal to the age- and sex-specific 95th percentile of the 2000 Centers for Disease Control and Prevention Growth Charts. Children and adolescents were included and categorized into age categories based on age at examination in months |
Double burden of underweight & overweight
Pieaugušie, 2022
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
Piezīmes (pieejamas tikai angļu valodā): | Age Standardised estimates |
Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Bērni, 2022
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-19 |
Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
Piezīmes (pieejamas tikai angļu valodā): | Age standardised estimates |
Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
Nepietiekamas fiziskās aktivitātes
Pieaugušie, 2022
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Aptvertā teritorija: | Valsts |
Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Vīrieši, 2022
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Aptvertā teritorija: | Valsts |
Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Sievietes, 2022
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Aptvertā teritorija: | Valsts |
Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Pieaugušie, 2016
Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Vīrieši, 2016
Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Sievietes, 2016
Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Bērni, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Bērni, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita fruit intake (g/day) |
Aptuvenais pārstrādātas gaļas patēriņš uz vienu iedzīvotāju
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita whole grains intake (g/day) |
Garīgā veselība – depresijas traucējumi
Pieaugušie, 2015
Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Garīgā veselība – trauksmes problēmas
Pieaugušie, 2015
Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
0-5 years, 1998-2023
Atsauces: | United States National Health and Nutrition Examination Survey 2017-2018. Hyattsville, United States: National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC) |
Piezīmes (pieejamas tikai angļu valodā): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Pieaugušie, 2022
Aptvertā teritorija: | Valsts |
Atsauces: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Barības vada vēzis
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Vīrieši, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
Sievietes, 2022
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Kolorektālais vēzis
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Vīrieši, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Dzemdes vēzis
Sievietes, 2022
Vecums: | 20+ |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2020-2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2373 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Paaugstināts asinsspiediens
Pieaugušie, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vīrieši, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstināts holesterīna līmenis
Pieaugušie, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vīrieši, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstināts glikozes līmenis asinīs
Vīrieši, 2014
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabēta izplatība
Pieaugušie, 2024
Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Pieaugušie, 2021
Vecums: | 20-79 |
Aptvertā teritorija: | Valsts |
Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definīcijas (pieejamas tikai angļu valodā): | Age-adjusted comparative prevalence of diabetes, % |
Pieaugušie, 2019
Vecums: | 20-79 |
Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Pieaugušie, 2017
Atsauces: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Sievietes, 2022
Vecums: | 20+ |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Leukemia
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Leukemia
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Multiple Myeloma
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Non Hodgkin Lymphoma
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Thyroid Cancer
Vīrieši, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Present |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Present |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Present |
Mandatory limit of trans fats in place (all settings)? | Absent |
Ban on trans-fats or phos in place (all settings)? | Present |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Present |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Present |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Present |
National obesity strategy? | Present |
National childhood obesity strategy? | Present |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Present |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
Promotion of breastfeeding? | Present |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated June 6, 2025
Download contextual factors as a PDF Contextual factors definitions