Japāna
- 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 *5/10This 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 *3/11This 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
Blakusslimības
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 4273 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2019 (English Summary) . Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2019.pdf (last accessed 22.09.22) |
| Piezīmes (pieejamas tikai angļu valodā): | Excel results with a breakdown of BMI 25-29.9 & 30=> available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 |
| Definīcijas (pieejamas tikai angļu valodā): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. As this study reports BMI by 25-29.9 & 30 this is shown here to allow for comparison with non-Asian WHO cutoffs. |
| 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
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 4273 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2019 (English Summary) . Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2019.pdf (last accessed 22.09.22) |
| Definīcijas (pieejamas tikai angļu valodā): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. There are four grades of obesity, while WHO standard cutoffs have three grades of obesity. There is no overweight category. |
| Cutoffs: | Japanese Society for the Study of Obesity Cutoffs |
| 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, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 5234 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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) |
| Definīcijas (pieejamas tikai angļu valodā): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. This is shown here as overweight and obesity to allow comparison with non-Asian cutoffs. |
| Cutoffs: | Japanese Society for the Study of Obesity Cutoffs |
| 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, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 15+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | OECD (2015), Overweight or obese population (indicator). doi: 10.1787/86583552-en (Accessed on 17 June 2015) from National Health Nutrition Survey 2012 |
| 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+ |
| Izlases lielums: | 15000 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. |
| 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, 1986-1990
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Atsauces: | 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 |
| 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, 1981-1985
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Atsauces: | 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 |
| 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, 1976-1980
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Atsauces: | 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 |
| 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, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-14 |
| Izlases lielums: | 393 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Piezīmes (pieejamas tikai angļu valodā): | NB VERY SMALL SAMPLE SIZE |
| Definīcijas (pieejamas tikai angļu valodā): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Bērni, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-14 |
| Izlases lielums: | 2192 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) |
| Definīcijas (pieejamas tikai angļu valodā): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Bērni, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-14 |
| Izlases lielums: | 655 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) |
| Piezīmes (pieejamas tikai angļu valodā): | NB. Small sample size |
| Definīcijas (pieejamas tikai angļu valodā): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Bērni, 2004-2007
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 9-10 |
| Izlases lielums: | 1436 |
| Aptvertā teritorija: | Regional - Ina |
| Atsauces: | Ochiai, Hirotaka, et al. “Changes in Overweight/Obesity and Central Obesity Status from Preadolescence to Adolescence: A Longitudinal Study among Schoolchildren in Japan.” BMC Public Health, vol. 20, no. 1, 17 Feb. 2020, 10.1186/s12889-020-8343-3. Accessed 11.10.21. |
| Cutoffs: | IOTF |
Bērni, 1996-2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-8 |
| Izlases lielums: | 56604 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Piezīmes (pieejamas tikai angļu valodā): | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
Bērni, 1986-1990
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-8 |
| Izlases lielums: | 56604 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Piezīmes (pieejamas tikai angļu valodā): | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
Bērni, 1976-1980
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-8 |
| Izlases lielums: | 56604 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Piezīmes (pieejamas tikai angļu valodā): | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
Infants, 2010
| Vecums: | 0-5 |
| Izlases lielums: | 6643 |
| Atsauces: | Other: Japan 2010 Growth Survey of Infants and Children |
| 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 Japan 1976-2012
Vīrieši
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 1976, 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 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 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) |
| 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: | 1976, 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 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 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) |
| 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 Japan 1976-2012
% bērnu, kam ir liekais svars vai aptaukošanās
Boys and girls
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Definīcijas (pieejamas tikai angļu valodā): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| 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 | |
Meitenes
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Definīcijas (pieejamas tikai angļu valodā): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| 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 | |
Zēni
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Definīcijas (pieejamas tikai angļu valodā): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| 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 | |
% Children living with overweight or obesity in Japan 1976-1996
Zēni
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| 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: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| 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 Asia/Oceania Region 1975-2019, atlasītās valstis
Vīrieši
| Atsauces: | 1976, 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 1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 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: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
| 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: | 1976, 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 1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 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: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
| 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: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
| 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: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
| 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, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-64 |
| Izlases lielums: | 2,491 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| 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, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-64 |
| Izlases lielums: | 2,491 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| 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, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-11 |
| Izlases lielums: | 397 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by Maternal Education (Paternal Education also available) Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | WHO |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 4273 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2019 (English Summary) . Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2019.pdf (last accessed 22.09.22) |
| Piezīmes (pieejamas tikai angļu valodā): | Combined overweight or obesity only provided |
| 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, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 5234 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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) |
| Piezīmes (pieejamas tikai angļu valodā): | Paper classifies obesity as BMI => 25 Kg/M2 |
| 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, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 393 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Piezīmes (pieejamas tikai angļu valodā): | NB NOTE VERY SMALL SAMPLE SIZE |
| Definīcijas (pieejamas tikai angļu valodā): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
Bērni, 1996-2000
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 3083 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Matsushita, Yumi, et al. “Trends in Childhood Obesity in Japan over the Last 25 Years from the National Nutrition Survey.” Obesity Research, vol. 12, no. 2, Feb. 2004, pp. 205–214, 10.1038/oby.2004.27. Accessed 08.11.21. |
| Cutoffs: | IOTF |
Liekais svars/aptaukošanās pēc reģiona
Bērni, 1996-2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-14 |
| Izlases lielums: | 3083 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Matsushita, Yumi, et al. “Trends in Childhood Obesity in Japan over the Last 25 Years from the National Nutrition Survey.” Obesity Research, vol. 12, no. 2, Feb. 2004, pp. 205–214, 10.1038/oby.200a4.27. Accessed 08.11.21. |
| Cutoffs: | IOTF |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Pieaugušie, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 6000 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Kurotani, Kayo, et al. “Diet Quality of Japanese Adults with Respect to Age, Sex, and Income Level in the National Health and Nutrition Survey, Japan.” Public Health Nutrition, vol. 23, no. 5, 18 Nov. 2019, pp. 821–832, 10.1017/s1368980019002088. Accessed 08.11.21. |
| Piezīmes (pieejamas tikai angļu valodā): | Data from National Health and Nutrition Survey, Japan 2014 |
| 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, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-64 |
| Izlases lielums: | 2,491 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| Definīcijas (pieejamas tikai angļu valodā): | Household income level (Japanese yen) |
| 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, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-64 |
| Izlases lielums: | 2,491 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| Definīcijas (pieejamas tikai angļu valodā): | Household income level (Japanese yen) |
| 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, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-11 |
| Izlases lielums: | 397 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by household income. Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | IOTF |
Bērni, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-11 |
| Izlases lielums: | 397 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by Paternal Occupation (Maternal Occupation also available) Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | IOTF |
Nepietiekamas fiziskās aktivitātes
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 |
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 |
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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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 10.01.2195 |
| 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, 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 (%). |
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? | Present |
| Back-of-pack nutrition declaration? | Absent |
| 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)? | Absent |
| Mandatory limit of trans fats in place (all settings)? | Absent |
| 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? | 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? | 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? | Present |
| 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 |
| Guidelines/policy on obesity treatment? | Absent |
| 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 September 13, 2022
Download contextual factors as a PDF Contextual factors definitions
