Jaapan
- Ülevaade
- Rasvumise levimus
- Trendid ajas
- Rahvastiku jaotus
- Tegurid
- Kaasnevad haigused
- Majanduslik mõju
- Strateegiad
- Contextual factors
Info laeb. Palun oodake!
Riiklik rasvumisrisk *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.Laste rasvumise oht *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).
Rasvumise levimus
Trendid ajas
Laadi alla aruanne
Aruandekaardil on esitatud kõik antud riigi uusimad diagrammid. Kui soovite koostada valitud diagrammide alusel kohandatud aruande, puudutage soovitud disgrammide all nuppu „Lisa kohandatud PDF-failile“.Tegurid
Kaasnevad haigused
Majanduslik mõju
Strateegiad
Contextual factors
Rasvumise levimus
Täiskasvanud, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Valimi suurus: | 4273 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | 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 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Valimi suurus: | 5234 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Mõisted: | Paper classifies obesity as BMI => 25 Kg/M2 |
Cutoffs: | Other |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2012
Uuringu tüüp: | Mõõdetud |
Vanus: | 15+ |
Hõlmatud piirkond: | Riiklik |
Viited: | OECD (2015), Overweight or obese population (indicator). doi: 10.1787/86583552-en (Accessed on 17 June 2015) from National Health Nutrition Survey 2012 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2000
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Valimi suurus: | 15000 |
Hõlmatud piirkond: | Riiklik |
Viited: | Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 1986-1990
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Viited: | 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 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 1981-1985
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Viited: | 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 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 1976-1980
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Viited: | 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 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-14 |
Valimi suurus: | 393 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | NB VERY SMALL SAMPLE SIZE |
Mõisted: | 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 |
Lapsed, 2012
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-14 |
Valimi suurus: | 2192 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Mõisted: | 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 |
Lapsed, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-14 |
Valimi suurus: | 655 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | NB. Small sample size |
Mõisted: | 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 |
Lapsed, 2004-2007
Uuringu tüüp: | Mõõdetud |
Vanus: | 9-10 |
Valimi suurus: | 1436 |
Hõlmatud piirkond: | Regional - Ina |
Viited: | 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 |
Lapsed, 1996-2000
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-8 |
Valimi suurus: | 56604 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | 56604 = total number included for the duration of the study |
Cutoffs: | IOTF |
Lapsed, 1986-1990
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-8 |
Valimi suurus: | 56604 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | 56604 = total number included for the duration of the study |
Cutoffs: | IOTF |
Lapsed, 1976-1980
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-8 |
Valimi suurus: | 56604 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | 56604 = total number included for the duration of the study |
Cutoffs: | IOTF |
Infants, 2010
Vanus: | 0-5 |
Valimi suurus: | 6643 |
Viited: | Other: Japan 2010 Growth Survey of Infants and Children |
Märkused: | 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. |
Mõisted: | =>+2SD |
% Adults living with obesity in Japan 1976-2012
Mehed
Uuringu tüüp: | Mõõdetud |
Viited: | 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) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Uuringu tüüp: | Mõõdetud |
Viited: | 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) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Adults living with overweight or obesity in Japan 1976-2012
% lastest kannatab ülekaalu või rasvumise all
Boys and girls
Uuringu tüüp: | Mõõdetud |
Viited: | 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) |
Mõisted: | 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% |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Tüdrukud
Uuringu tüüp: | Mõõdetud |
Viited: | 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) |
Mõisted: | 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% |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Poisid
Uuringu tüüp: | Mõõdetud |
Viited: | 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) |
Mõisted: | 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% |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Children living with overweight or obesity in Japan 1976-1996
Poisid
Uuringu tüüp: | Mõõdetud |
Viited: | 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 |
Mõisted: | IOTF |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Tüdrukud
Uuringu tüüp: | Mõõdetud |
Viited: | 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 |
Mõisted: | IOTF |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, valitud riigid
Mehed
Viited: | 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, 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 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 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 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: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 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: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 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: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 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: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 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) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Viited: | 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, 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 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 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 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: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 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: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 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: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 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: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 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) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Adults living with obesity in selected countries worldwide 1976-2018, valitud riigid
Mehed
Viited: | 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) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Viited: | 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) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Ülekaalulisus / rasvumine hariduse järgi
Mehed, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-64 |
Valimi suurus: | 2,491 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-64 |
Valimi suurus: | 2,491 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-11 |
Valimi suurus: | 397 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 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 |
Ülekaalulisus / rasvumine vanuse järgi
Täiskasvanud, 2019
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 4273 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | Combined overweight or obesity only provided |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 5234 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | Paper classifies obesity as BMI => 25 Kg/M2 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2019
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 393 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | NB NOTE VERY SMALL SAMPLE SIZE |
Mõisted: | 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% |
Lapsed, 1996-2000
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 3083 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Ülekaalulisus / rasvumine piirkonna järgi
Lapsed, 1996-2000
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-14 |
Valimi suurus: | 3083 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Ülekaalulisus / rasvumine sotsiaalmajandusliku grupi järgi
Täiskasvanud, 2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Valimi suurus: | 6000 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Data from National Health and Nutrition Survey, Japan 2014 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-64 |
Valimi suurus: | 2,491 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Mõisted: | Household income level (Japanese yen) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-64 |
Valimi suurus: | 2,491 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Mõisted: | Household income level (Japanese yen) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-11 |
Valimi suurus: | 397 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 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 |
Lapsed, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-11 |
Valimi suurus: | 397 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 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 |
Ebapiisav füüsiline aktiivsus
Täiskasvanud, 2016
Viited: | 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 |
Mehed, 2016
Viited: | 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 |
Naised, 2016
Viited: | 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
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita fruit intake (g/day) |
Hinnanguline töödeldud liha tarbimine inimese kohta
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita whole grains intake (g/day) |
Vaimne tervis - depressiivsed häired
Täiskasvanud, 2015
Viited: | 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. |
Mõisted: | % of population with depression disorders |
Vaimne tervis - ärevushäired
Täiskasvanud, 2015
Viited: | 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. |
Mõisted: | % of population with anxiety disorders |
Söögitoruvähk
Mehed, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Rinnavähk
Naised, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Pärasoolevähk
Mehed, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Kõhunäärmevähk
Mehed, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Sapipõie vähk
Mehed, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Neeruvähk
Mehed, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Emakavähk
Naised, 2020
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Kõrgenenud vererõhk
Täiskasvanud, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mehed, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Naised, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kõrgenenud kolesteroolitase
Täiskasvanud, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mehed, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Naised, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kõrgenenud veresuhkru tase tühja kõhuga
Mehed, 2014
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Mõisted: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Naised, 2014
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Mõisted: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeedi levimus
Täiskasvanud, 2021
Vanus: | 20-79 |
Hõlmatud piirkond: | Riiklik |
Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Mõisted: | Age-adjusted comparative prevalence of diabetes, % |
Täiskasvanud, 2019
Vanus: | 20-79 |
Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Mõisted: | Diabetes age-adjusted comparative prevalence (%). |
Täiskasvanud, 2017
Viited: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Mõisted: | 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