Indija
Lower-middle income
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Report cards
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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)
Stratēģija uztura vai veselības jomā
Mārketings
Fiziska aktivitāte
Nodokļi/subsīdijas pārtikai vai dzērieniem
Sabiedrības iniciatīvas
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, 2019-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 34648 |
Aptvertā teritorija: | Reģioni |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), India, 2019-20: Maharashtra. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR374/FR374_Maharashtra.pdf (last accessed 21.05.25) |
Piezīmes (pieejamas tikai angļu valodā): | Sub National - State of Maharashtra State of Karnataka 2019-20 also available at http://rchiips.org/nfhs/NFHS-5Report_KA.shtml National data should be available later in 2021 NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 24.03.21)' |
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, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 744791 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21. Available at: https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf [Accessed 24.07.24] |
Piezīmes (pieejamas tikai angļu valodā): | NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2022 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 24.07.24) |
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: | 15-49 |
Izlases lielums: | 754,697 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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, 2014-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18-69 |
Izlases lielums: | 5032 |
Aptvertā teritorija: | Regional (Punjab) |
Atsauces: | Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Prasad R. Urban rural differences in diet, physical activity and obesity in India: are we witnessing the great Indian equalisation? Results from a cross-sectional STEPS survey. BMC Public Health. 2016;16:816. doi:10.1186/s12889-016-3489-8. |
Piezīmes (pieejamas tikai angļu valodā): | Uses a STEP questionnaire. |
Definīcijas (pieejamas tikai angļu valodā): | Asian cut-offs also available in paper. |
Cutoffs: | WHO |
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, 2014-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18-69 |
Izlases lielums: | 5032 |
Aptvertā teritorija: | Regional (Punjab) |
Atsauces: | Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Prasad R. Urban rural differences in diet, physical activity and obesity in India: are we witnessing the great Indian equalisation? Results from a cross-sectional STEPS survey. BMC Public Health. 2016;16:816. doi:10.1186/s12889-016-3489-8. |
Piezīmes (pieejamas tikai angļu valodā): | Uses a STEPS questionnaire. |
Cutoffs: | WHO Asia |
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, 2005-2006
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 181912 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences - IIPS/India and Macro International. 2007. National Family Health Survey NFHS-3, 2005–06: India: Volume I. Mumbai, India: IIPS and Macro International. |
Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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, 1991-1995
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 35-64 |
Izlases lielums: | 5537 |
Atsauces: | Reddy KS, Prabhakaran D, Shah P, Shah B. Differences in body mass index and waist:hip ratios in North Indian rural and urban populations. Obesity Reviews, 2002;3:197-202 |
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, 1988-1990
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 21361 |
Atsauces: | Naidu AN, Rao NP. Body mass index: a measure of the nutritional status in Indian populations. European Journal of Clincial Nutrition 1994;48 (suppl 3):S131-S140 |
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, 1974-1979
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 39143 |
Atsauces: | Naidu AN, Rao NP. Body mass index: a measure of the nutritional status in Indian populations. European Journal of Clincial Nutrition 1994;48 (suppl 3):S131-S140 |
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, 2016-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-9 |
Izlases lielums: | 112316 (0-19 years) |
Aptvertā teritorija: | Valsts |
Atsauces: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Bērni, 2016-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10-19 |
Izlases lielums: | 32120 |
Aptvertā teritorija: | Valsts |
Atsauces: | Kumar, P., Srivastava, S., Mishra, P.S. et al. Prevalence of pre-diabetes/type 2 diabetes among adolescents (10–19 years) and its association with different measures of overweight/obesity in India: a gendered perspective. BMC Endocr Disord 21, 146 (2021). https://doi.org/10.1186/s12902-021-00802-w |
Piezīmes (pieejamas tikai angļu valodā): | Sample size. Girls = 15602. Boys = 16518. NB. Combined chulddata estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 19.05.21) |
Definīcijas (pieejamas tikai angļu valodā): | BMI for age. Overweight or obesity = BMI > + 1 SD |
Cutoffs: | WHO |
Bērni, 2011-2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10-19 |
Izlases lielums: | 1900 |
Aptvertā teritorija: | Reģioni (pilsētas) |
Atsauces: | Rohilla R, Rajput M, Rohilla J, Malik M, Garg D, Verma M. Prevalence and correlates of overweight/obesity among adolescents in an Urban City of North India. J Family Med Prim Care [serial online] 2014 [cited 2019 Oct 29];3:404-8. Available from: http://www.jfmpc.com/text.asp?2014/3/4/404/148127 |
Cutoffs: | IOTF |
Bērni, 2007-2008
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-17 |
Izlases lielums: | 20243 |
Aptvertā teritorija: | Valsts |
Atsauces: | V.V Khadilkar, A.V.Khadilkar, T.J.Cole, S.A.Chiplonkar and Deepa Pandit. 2010. Overweight and obesity prevalence and body mass index trends in Indian children. International Journal of Pediatric Obesity, Early Online, 1 - 9. |
Cutoffs: | IOTF |
Bērni, 2007
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 13-15 |
Izlases lielums: | 8130 |
Aptvertā teritorija: | Centrālā vidējās izglītības padome |
Atsauces: | Global School-based Student Health Survey, India (CBSE) 2007. https://www.who.int/ncds/surveillance/gshs/2007_India_CBSE_fact_sheet.pdf?ua=1 (last accessed 24.11.20) |
Cutoffs: | WHO |
Bērni, 2006
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-18 |
Izlases lielums: | 21485 |
Aptvertā teritorija: | Administratīvi teritoriālais iedalījums |
Atsauces: | Data presented in Wang Y, Chen HJ, Shaikh S, Mathur P. Is obesity becoming a public health problem in India? Examine the shift from under- to overnutrition problems over time. Obesity Reviews 2009;10:456-474, data originally derived from Marwaha RK, Tandon N, Singh Y, Aggarwal R, Grewal K, Mani K. A study of growth parameters and prevalence of overweight and obesity in school children from Delhi. Indian Pediatr 2006; 43: 943–952. |
Cutoffs: | IOTF |
Bērni, 2002-2003
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | 2539 |
Aptvertā teritorija: | Reģioni |
Atsauces: | Unpublished work |
Cutoffs: | IOTF |
0-5 years, 2019-2021
Vecums: | 0-5 |
Izlases lielums: | 197475 |
Atsauces: | DHS: National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
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, 2016-2018
Vecums: | 0-5 |
Izlases lielums: | 35784 |
Atsauces: | NNS: Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi |
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 |
Izlases lielums: | 224430 |
Atsauces: | DHS: National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. 2017 |
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 |
Izlases lielums: | 47788 |
Atsauces: | DHS: National family health survey (NFHS-3), 2005-06: India: Demographic and Health Surveys. Mumbai, India: IIPS, 2007 |
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, 1998-1900
Vecums: | 0-5 |
Izlases lielums: | 25260 |
Atsauces: | DHS: National family health survey (NFHS-2) 1998-99. Demographic and Health Surveys. Mumbai, India, 2000 |
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, 1996-1997
Vecums: | 0-5 |
Izlases lielums: | 22959 |
Atsauces: | Other: Diet and nutrition situation in rural India. Indian Journal of Medical Research 1998;108:243-253 |
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, 1992-1993
Vecums: | 0-5 |
Izlases lielums: | 26602 |
Atsauces: | DHS: National family health survey, India 1992-93. Demographic and Health Surveys. Bombay, India, 1995 |
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 India 2005-2019
Vīrieši
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 2005: International Institute for Population Sciences - IIPS/India and Macro International. 2007. National Family Health Survey NFHS-3, 2005–06: India: Volume I. Mumbai, India: IIPS and Macro International. 2015: International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). 2019: International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21. Available at: https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf [Accessed 24.07.24] |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Sievietes
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 2005: International Institute for Population Sciences - IIPS/India and Macro International. 2007. National Family Health Survey NFHS-3, 2005–06: India: Volume I. Mumbai, India: IIPS and Macro International. 2015: International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). 2019: International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21. Available at: https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf [Accessed 24.07.24] |
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, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 752983 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
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, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 752983 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
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: | 15-49 |
Izlases lielums: | 754,697 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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: | 15-49 |
Izlases lielums: | 754,697 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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, 2008-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 13789 |
Aptvertā teritorija: | Valsts |
Atsauces: | Pradeepa R, Anjana RM, Joshi SR, et al. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]. The Indian Journal of Medical Research. 2015;142(2):139-150. doi:10.4103/0971-5916.164234. |
Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by education. Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for both genders (based on the World Health Organization Asia Pacific Guidelines). |
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, 2016-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-9 |
Izlases lielums: | 112316 |
Aptvertā teritorija: | Valsts |
Atsauces: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Piezīmes (pieejamas tikai angļu valodā): | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | Other |
Bērni, 2016-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10-19 |
Izlases lielums: | 112316 (0-19 years) |
Aptvertā teritorija: | Valsts |
Atsauces: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Piezīmes (pieejamas tikai angļu valodā): | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Bērni, 2013
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 14-16 |
Izlases lielums: | 1079 |
Aptvertā teritorija: | Surat city, Gujarat |
Atsauces: | Gamit SS, Moitra M, Verma MR. Prevalence of obesity and overweight in school going adolescents of Surat city, Gujarat, India.International Journal of Medical Science and Public Health 2015:Vol 4;42-47 |
Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by Father's education. Students who had body mass index (BMI) of >85th and <95th percentile of reference population were classified as overweight and BMI of >95th percentile of reference population were classified as obese. |
Cutoffs: | WHO |
0-5 years, 2019-2021
Izlases lielums: | 197475 |
Atsauces: | DHS: National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
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
Izlases lielums: | 224430 |
Atsauces: | DHS: National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. 2017 |
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
Izlases lielums: | 47788 |
Atsauces: | DHS: National family health survey (NFHS-3), 2005-06: India: Demographic and Health Surveys. Mumbai, India: IIPS, 2007 |
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, 1998-2000
Izlases lielums: | 25260 |
Atsauces: | DHS: National family health survey (NFHS-2) 1998-99. Demographic and Health Surveys. Mumbai, India, 2000 |
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, 1992-1993
Izlases lielums: | 26602 |
Atsauces: | DHS: National family health survey, India 1992-93. Demographic and Health Surveys. Bombay, India, 1995 |
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 |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 752983 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
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: | 754,697 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. |
Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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. |
Liekais svars/aptaukošanās pēc reģiona
Vīrieši, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 744791 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21: India: Volume I. Mumbai: IIPS. |
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, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 744791 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21: India: Volume I. Mumbai: IIPS. |
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, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 752983 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
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, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 752983 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
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: | 15-49 |
Izlases lielums: | 803,211 |
Aptvertā teritorija: | Valsts |
Atsauces: | National Family Health Survey - 4 (2015-16) Available at: http://rchiips.org/nfhs/pdf/NFHS4/India.pdf |
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: | 15-49 |
Izlases lielums: | 803,211 |
Aptvertā teritorija: | Valsts |
Atsauces: | National Family Health Survey - 4 (2015-16) Available at: http://rchiips.org/nfhs/pdf/NFHS4/India.pdf |
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, 2008-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 12634 |
Aptvertā teritorija: | Valsts |
Atsauces: | Pradeepa R, Anjana RM, Joshi SR, et al. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]. The Indian Journal of Medical Research. 2015;142(2):139-150. doi:10.4103/0971-5916.164234. |
Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by region. Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for both genders (based on the World Health Organization Asia Pacific Guidelines). |
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, 2016-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10-19 |
Izlases lielums: | 112316 (0-19 years) |
Aptvertā teritorija: | Valsts |
Atsauces: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Piezīmes (pieejamas tikai angļu valodā): | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Bērni, 2016-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-9 |
Izlases lielums: | 112316 (0-19 years) |
Aptvertā teritorija: | Valsts |
Atsauces: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Piezīmes (pieejamas tikai angļu valodā): | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
0-5 years, 2019-2021
Izlases lielums: | 197475 |
Atsauces: | DHS: National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
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, 2016-2018
Izlases lielums: | 35784 |
Atsauces: | NNS: Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi |
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
Izlases lielums: | 224430 |
Atsauces: | DHS: National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. 2017 |
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
Izlases lielums: | 47788 |
Atsauces: | DHS: National family health survey (NFHS-3), 2005-06: India: Demographic and Health Surveys. Mumbai, India: IIPS, 2007 |
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, 1998-1900
Izlases lielums: | 25260 |
Atsauces: | DHS: National family health survey (NFHS-2) 1998-99. Demographic and Health Surveys. Mumbai, India, 2000 |
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, 1992-1993
Izlases lielums: | 26602 |
Atsauces: | DHS: National family health survey, India 1992-93. Demographic and Health Surveys. Bombay, India, 1995 |
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 |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Vīrieši, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 752983 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
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, 2019-2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 752983 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
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: | 15-49 |
Izlases lielums: | 754,697 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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: | 15-49 |
Izlases lielums: | 754,697 |
Aptvertā teritorija: | Valsts |
Atsauces: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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, 2008-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 12783 |
Aptvertā teritorija: | Valsts |
Atsauces: | Pradeepa R, Anjana RM, Joshi SR, et al. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]. The Indian Journal of Medical Research. 2015;142(2):139-150. doi:10.4103/0971-5916.164234. |
Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by occupation. Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for both genders (based on the World Health Organization Asia Pacific Guidelines). |
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, 2008-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 12634 |
Aptvertā teritorija: | Valsts |
Atsauces: | Pradeepa R, Anjana RM, Joshi SR, et al. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]. The Indian Journal of Medical Research. 2015;142(2):139-150. doi:10.4103/0971-5916.164234. |
Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by income. Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for both genders (based on the World Health Organization Asia Pacific Guidelines). |
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, 2016-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-9 |
Izlases lielums: | 112316 |
Aptvertā teritorija: | Valsts |
Atsauces: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Piezīmes (pieejamas tikai angļu valodā): | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Bērni, 2016-2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10-19 |
Izlases lielums: | 112316 (0-19 years) |
Aptvertā teritorija: | Valsts |
Atsauces: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Piezīmes (pieejamas tikai angļu valodā): | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Bērni, 2013
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 14-16 |
Izlases lielums: | 1079 |
Aptvertā teritorija: | Surat city, Gujarat |
Atsauces: | Goyal RK1, Shah VN, Saboo BD, Phatak SR, Shah NN, Gohel MC, Raval PB, and Patel SS. Prevalence of overweight and obesity in Indian adolescent school going children: its relationship with socioeconomic status and associated lifestyle factors. J Assoc Physicians India. 2010 Mar;58:151-8. |
Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by Father's occupation. Students who had body mass index (BMI) of >85th and <95th percentile of reference population were classified as overweight and BMI of >95th percentile of reference population were classified as obese. |
Cutoffs: | WHO |
0-5 years, 2019-2021
Izlases lielums: | 197475 |
Atsauces: | DHS: National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
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, 2016-2018
Izlases lielums: | 35784 |
Atsauces: | NNS: Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi |
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
Izlases lielums: | 224430 |
Atsauces: | DHS: National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. 2017 |
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
Izlases lielums: | 47788 |
Atsauces: | DHS: National family health survey (NFHS-3), 2005-06: India: Demographic and Health Surveys. Mumbai, India: IIPS, 2007 |
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, 1998-1900
Izlases lielums: | 25260 |
Atsauces: | DHS: National family health survey (NFHS-2) 1998-99. Demographic and Health Surveys. Mumbai, India, 2000 |
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, 1992-1993
Izlases lielums: | 26602 |
Atsauces: | DHS: National family health survey, India 1992-93. Demographic and Health Surveys. Bombay, India, 1995 |
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 |
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 |
0-5 years, 2019-2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 0-5 |
Atsauces: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
Piezīmes (pieejamas tikai angļu valodā): | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
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, 2021
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Vīrieši, 2021
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Pieaugušie, 2015-2021
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 |
Pieaugušie, 2015-2021
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 |
Vīrieši, 2015-2021
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 |
Sievietes, 2015-2021
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 |
Bērni, 2021
Aptvertā teritorija: | Valsts |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Zēni, 2021
Aptvertā teritorija: | Valsts |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
Aptvertā teritorija: | Valsts |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garīgā veselība – trauksmes problēmas
Pieaugušie, 2021
Vecums: | 20+ |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Vīrieši, 2021
Vecums: | 20+ |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Sievietes, 2021
Vecums: | 20+ |
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Pieaugušie, 2015-2021
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 |
Pieaugušie, 2015-2021
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 |
Vīrieši, 2015-2021
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 |
Sievietes, 2015-2021
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 |
Bērni, 2021
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Zēni, 2021
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Meitenes, 2021
Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
0-5 years, 2015-2022
Atsauces: | National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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? | Present-(voluntary) |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Present |
Tax on unhealthy foods? | Present |
Tax on unhealthy drinks? | Present |
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)? | Present |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
Mandatory restriction on broadcast media? | Present |
Mandatory restriction on non-broadcast media? | Present |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present-(voluntary) |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Present |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
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
Last updated June 16, 2025
Download contextual factors as a PDF Contextual factors definitions