Thaïlande
Upper-middle income
- Vue d’ensemble
- Prévalence de l’obésité
- Tendances au fil du temps
- Ventilation de la population
- Facteurs de risques
- Comorbidités
- Impact économique
- Politiques (uniquement disponibles en anglais)
- Contextual factors
Report cards
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Ventilation de la population
Facteurs de risques
Activité insuffisante
Consommation de boissons gazeuses
Consommation de fruits
Consommation de légumes
Consommation de restauration rapide
Consommation de viande transformée
Consommation de céréales
Dépression
Anxiété
Les racines de l'obésité »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Allaitement
Unaffordable diet
Télécharger le rapport d’évaluation
Comorbidités
Cancer de l'œsophage
Cancer du sein
Cancer colorectal
Cancer du pancréas
Cancer de la vésicule biliaire
Cancer des reins
Cancer de l'utérus
Hypertension
Hypercholestérolémie
Hyperglycémie à jeun
Prévalence du diabète
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Télécharger le rapport d’évaluation
Impact économique
Politiques (uniquement disponibles en anglais)
Stratégie nutritionnelle ou sanitaire
Marketing
Activité physique
Taxes/Subventions alimentaires (y compris les boissons)
Actions communautaires
Stratégies transnationales de lutte contre l'obésité
Étiquetage
Stratégie contre les MNT
Regulations (voluntary/pledges)
Examens de l’efficacité sur le plan sanitaire
Multidisciplinary Intervention
Directives de prise en charge ou de traitement
Non-national strategies
School Food Regulations/Guidelines
Allaitement
Obesity Target
Télécharger le rapport d’évaluation
Contextual factors
Prévalence de l’obésité
Adultes, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. |
| Notes: | 9,390 men, 13,069 women. NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female in Thailand 2020 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS?end=2020&locations=TH - accessed 11.07.25) |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown to allow comparison with non-Asian countries |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. |
| Notes: | 9,390 men, 13,069 women. NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female in Thailand 2020 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS?end=2020&locations=TH - accessed 11.07.25). |
| Définitions (uniquement disponible en anglais): | WHO Asian cutoffs shown, standard WHO cutoffs also available |
| Cutoffs: | WHO Asia |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2013-2015
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 19,3331 |
| Région couverte: | National |
| Références: | Report of the 5th National Health Examination Survey 2014. Office of Policy and Strategy, Ministry of Public Health, Health Promotion Fund, Health Systems Research Institute (HSRI). https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2014&l=sreport5 (Accessed 11.07.25) |
| Notes: | 8,160 men, 11,171 women. NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female in Thailand 2020 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS?end=2020&locations=TH - accessed 11.07.25) |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown to allow comparison with non-Asian countries |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 19181 |
| Région couverte: | National |
| Références: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 19181 |
| Région couverte: | National |
| Références: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Cutoffs: | WHO Asia |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2004
| Type d’enquête: | Mesuré |
| Âge: | 18+ |
| Taille de l’échantillon: | 39290 |
| Région couverte: | National |
| Références: | Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 19+ |
| Taille de l’échantillon: | 7279 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2000
| Type d’enquête: | Mesuré |
| Âge: | 35+ |
| Taille de l’échantillon: | 5350 |
| Références: | http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf last accessed June 14th 2011 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 1997
| Type d’enquête: | Mesuré |
| Âge: | 20-59 |
| Taille de l’échantillon: | 3220 |
| Références: | Aekplakorn W, Chaiyapong Y, Neal B, Chariyalertsak W, Kunanusont C, Phoolcharoen W, Suriyawongpaisal P. Prevalence and Determinants of Overweight and Obesity in Thai Adults: Results of the Second National Health Examination Survey. J Med Asssoc Thai 2004;87(6):685-93 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 1985
| Type d’enquête: | Mesuré |
| Âge: | 35-54 |
| Taille de l’échantillon: | 3495 |
| Région couverte: | Régional |
| Références: | Tanphaichitr V, Kulapongse S, Pakpeankitvatana R, et al. Prevalence of obesity and its associated risks in urban Thais. In: Oomura Y, Tarui S, Inoue S, Shimazu T, eds. Progress in obesity research, 1990 London: Libbey, 1991:649-53 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2021
| Type d’enquête: | Autodéclaré |
| Âge: | 13-17 |
| Taille de l’échantillon: | 5661 |
| Région couverte: | National |
| Références: | 2021 GSHS Fact Sheet Thailand. https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/data-reporting/thailand/2021_thailand_gshs_fact_sheetada1f3cd-2ee4-4258-a01f-b40873aaf988.pdf?sfvrsn=be5c3553_1&download=true |
| Cutoffs: | WHO |
Enfants, 2020
| Type d’enquête: | Mesuré |
| Âge: | 7-12 |
| Taille de l’échantillon: | 1088 |
| Région couverte: | National |
| Références: | Pongcharoen, T. et al. (2024). South East Asian Nutrition Surveys II (SEANUTS II) Thailand: triple burden of malnutrition among Thai children aged 6 months to 12 years. Public Health Nutrition, [online] 27(1). doi:https://doi.org/10.1017/s1368980024000053 [Accessed 08.07.25] |
| Définitions (uniquement disponible en anglais): | Overweight: BMI-for-age z-scores >1 to ≤2 sd. Obesity: BMI-for-age z-scores >2 sd |
| Cutoffs: | WHO |
Enfants, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 6-14 |
| Taille de l’échantillon: | 4,654 |
| Région couverte: | National |
| Références: | Report of the 6th National Health Examination Survey 2019-2020 (Child Health). Mahidol University, Health Systems Research Institute (HSRI), National Health Security Office, Ministry of Public Health. https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2020kid&l=thai [Accessed 11.07.25] |
| Définitions (uniquement disponible en anglais): | + 1 SD |
| Cutoffs: | WHO |
Enfants, 2016
| Type d’enquête: | Mesuré |
| Âge: | 6-18 |
| Taille de l’échantillon: | 1749 |
| Région couverte: | Régional |
| Références: | Nonboonyawat T, Pusanasuwannasri W, Chanrat N, Wongthanavimok N, Tubngern D, Panutrakul P, Mungthin M, Nivesvivat T, Hatthachote P, Rangsin R, Piyaraj P. (2019) 'Prevalence and associates of obesity and overweight among school-age children in a rural community of Thailand.' Korean J Pediatr. doi: 10.3345/kjp.2018.06499. |
| Notes: | WHO cut-offs used. |
| Cutoffs: | WHO |
Enfants, 2015
| Type d’enquête: | Autodéclaré |
| Âge: | 13-17 |
| Taille de l’échantillon: | 5894 |
| Région couverte: | National |
| Références: | Global School-based Student Health Survey Thailand 2015 Fact Sheet https://www.who.int/ncds/surveillance/gshs/2015-Thailand-GSHS-Fact-Sheet.pdf?ua=1 (last accessed 24.11.20) |
| Cutoffs: | WHO |
Enfants, 2008
| Type d’enquête: | Autodéclaré |
| Âge: | 13-15 |
| Taille de l’échantillon: | 2767 |
| Région couverte: | National |
| Références: | Global School-based Student Health Survey Thailand 2008 Fact Sheethttps://www.who.int/ncds/surveillance/gshs/2008_Thailand_fact_sheet.pdf?ua=1 (last accessed 24.11.20) |
| Cutoffs: | WHO |
Enfants, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 3-18 |
| Taille de l’échantillon: | 9287 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Enfants, 1997
| Type d’enquête: | Mesuré |
| Âge: | 5-15 |
| Taille de l’échantillon: | 1290 |
| Région couverte: | Régional |
| Références: | Mo-Suwan L, Tongkumchum P, Puetpaiboon A. Determinants of overweight tracking from childhood to adolescence: a 5 y follow-up study of Hat Yai schoolchildren. International Journal of Obesity (2000) 24, 164-1647 |
| Notes: | Urban 85th Centile NHANES |
| Cutoffs: | Other |
Enfants, 1992
| Type d’enquête: | Mesuré |
| Âge: | 5-16 |
| Taille de l’échantillon: | 2252 |
| Région couverte: | Régional |
| Références: | Mo-suwan L, Tongkumchum P and Puetpaiboon A. Determinants of overweight tracking from childhood to adolescence: a 5 year follow up study of Hat Yai schoolchildren. IJO 2000;24:1642-1647 |
| Notes: | Hat Yai municipality, southern Thailand Child Cut-Off point: 85th Centile NHANES (see paper for further details) |
| Cutoffs: | Other |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Taille de l’échantillon: | 9504 |
| Région couverte: | National |
| Références: | National Statistical Office of Thailand. 2023. Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| Définitions (uniquement disponible en anglais): | Percentage of children under age 5 who are above 2 standard deviations (moderate and severe) of the median weight-for-height of the reference population |
| Cutoffs: | +2 SD |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Taille de l’échantillon: | 9504 |
| Région couverte: | National |
| Références: | Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Définitions (uniquement disponible en anglais): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Âge: | 0-5 |
| Taille de l’échantillon: | 12138 |
| Références: | MICS: Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2015-2016
| Âge: | 0-5 |
| Taille de l’échantillon: | 10942 |
| Références: | MICS: Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2012-2013
| Âge: | 0-5 |
| Taille de l’échantillon: | 8874 |
| Références: | MICS: Thailand multiple indicator cluster survey 2012. MICS. Bangkok, Thailand: NSO, UNICEF, MOPH, NHSO, THPF, IHPP, 2013. |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2005-2006
| Âge: | 0-5 |
| Taille de l’échantillon: | 4627558 |
| Références: | MICS: Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 1995
| Âge: | 0-5 |
| Taille de l’échantillon: | 4178 |
| Références: | NNS: The fourth national nutrition survey of Thailand 1995. Department of Health. Bangkok, Thailand 1998 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 1987
| Âge: | 0-5 |
| Taille de l’échantillon: | 1886 |
| Références: | DHS: Thailand demographic and health survey 1987. Demographic and Health Surveys. Institute of Population Studies, Chulalongkorn University. Bangkok, Thailand, 1988 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
% Adults living with obesity in Thailand 1997-2019
Hommes
| Type d’enquête: | Mesuré |
| Références: | 1997: Aekplakorn W, Chaiyapong Y, Neal B, Chariyalertsak W, Kunanusont C, Phoolcharoen W, Suriyawongpaisal P. Prevalence and Determinants of Overweight and Obesity in Thai Adults: Results of the Second National Health Examination Survey. J Med Asssoc Thai 2004;87(6):685-93 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2013: Report of the 5th National Health Examination Survey 2014. Office of Policy and Strategy, Ministry of Public Health, Health Promotion Fund, Health Systems Research Institute (HSRI). https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2014&l=sreport5 (Accessed 11.07.25) 2019: Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
| Différentes méthodologies peuvent avoir été utilisées pour collecter ces données et, par conséquent, les données de différentes enquêtes peuvent ne pas être strictement comparables. Veuillez vérifier auprès des sources de données d'origine les méthodologies utilisées | |
Femmes
| Type d’enquête: | Mesuré |
| Références: | 1997: Aekplakorn W, Chaiyapong Y, Neal B, Chariyalertsak W, Kunanusont C, Phoolcharoen W, Suriyawongpaisal P. Prevalence and Determinants of Overweight and Obesity in Thai Adults: Results of the Second National Health Examination Survey. J Med Asssoc Thai 2004;87(6):685-93 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2013: Report of the 5th National Health Examination Survey 2014. Office of Policy and Strategy, Ministry of Public Health, Health Promotion Fund, Health Systems Research Institute (HSRI). https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2014&l=sreport5 (Accessed 11.07.25) 2019: Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
| Différentes méthodologies peuvent avoir été utilisées pour collecter ces données et, par conséquent, les données de différentes enquêtes peuvent ne pas être strictement comparables. Veuillez vérifier auprès des sources de données d'origine les méthodologies utilisées | |
Men and women
| Type d’enquête: | Mesuré |
| Références: | 1997: Aekplakorn W, Chaiyapong Y, Neal B, Chariyalertsak W, Kunanusont C, Phoolcharoen W, Suriyawongpaisal P. Prevalence and Determinants of Overweight and Obesity in Thai Adults: Results of the Second National Health Examination Survey. J Med Asssoc Thai 2004;87(6):685-93 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2013: Report of the 5th National Health Examination Survey 2014. Office of Policy and Strategy, Ministry of Public Health, Health Promotion Fund, Health Systems Research Institute (HSRI). https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2014&l=sreport5 (Accessed 11.07.25) 2019: Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
| Différentes méthodologies peuvent avoir été utilisées pour collecter ces données et, par conséquent, les données de différentes enquêtes peuvent ne pas être strictement comparables. Veuillez vérifier auprès des sources de données d'origine les méthodologies utilisées | |
% Adults living with overweight or obesity in Thailand 2003-2019
Hommes
| Type d’enquête: | Mesuré |
| Références: | 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2013: Report of the 5th National Health Examination Survey 2014. Office of Policy and Strategy, Ministry of Public Health, Health Promotion Fund, Health Systems Research Institute (HSRI). https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2014&l=sreport5 (Accessed 11.07.25) 2019: Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
| Différentes méthodologies peuvent avoir été utilisées pour collecter ces données et, par conséquent, les données de différentes enquêtes peuvent ne pas être strictement comparables. Veuillez vérifier auprès des sources de données d'origine les méthodologies utilisées | |
Femmes
| Type d’enquête: | Mesuré |
| Références: | 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2013: Report of the 5th National Health Examination Survey 2014. Office of Policy and Strategy, Ministry of Public Health, Health Promotion Fund, Health Systems Research Institute (HSRI). https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2014&l=sreport5 (Accessed 11.07.25) 2019: Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
| Différentes méthodologies peuvent avoir été utilisées pour collecter ces données et, par conséquent, les données de différentes enquêtes peuvent ne pas être strictement comparables. Veuillez vérifier auprès des sources de données d'origine les méthodologies utilisées | |
Men and women
| Type d’enquête: | Mesuré |
| Références: | 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2013: Report of the 5th National Health Examination Survey 2014. Office of Policy and Strategy, Ministry of Public Health, Health Promotion Fund, Health Systems Research Institute (HSRI). https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2014&l=sreport5 (Accessed 11.07.25) 2019: Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
| Différentes méthodologies peuvent avoir été utilisées pour collecter ces données et, par conséquent, les données de différentes enquêtes peuvent ne pas être strictement comparables. Veuillez vérifier auprès des sources de données d'origine les méthodologies utilisées | |
Surpoids/obésité selon le niveau de scolarité
Adultes, 2021
| Type d’enquête: | Autodéclaré |
| Âge: | 15+ |
| Taille de l’échantillon: | 207,191 |
| Région couverte: | National |
| Références: | Polathep Vichitkunakorn, Warintorn Bunyanukul, Kanarit Apiwan, Detphop Tanasanchonnakul & Monsicha Sittisombut (2025) Prevalence of non-communicable disease risk factors and their association with economic status: findings from the 2021 health behaviour of population survey in Thailand, Global Health Action, 18:1, 2485689, DOI: 10.1080/16549716.2025.2485689 [Accessed 11.07.25] |
| Définitions (uniquement disponible en anglais): | BMI ≥ 23 kg/m2 |
| Cutoffs: | WHO Asia |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Hommes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 19,181 |
| Région couverte: | National - URBAIN |
| Références: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | Prevalence of Overweight & Obesity by Education in Urban Areas In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 19,181 |
| Région couverte: | National - URBAIN |
| Références: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | Prevalence of Overweight & Obesity by Education in Urban Areas In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Hommes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 19,181 |
| Région couverte: | National - RURAL |
| Références: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | Prevalence of Overweight & Obesity by Education in Rural Areas In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 19,181 |
| Région couverte: | National - RURAL |
| Références: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | Prevalence of Overweight & Obesity by Education in Rural Areas In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2016
| Type d’enquête: | Mesuré |
| Âge: | 6-18 |
| Taille de l’échantillon: | 1749 |
| Région couverte: | Régional |
| Références: | Nonboonyawat, T. et al. (2019). Prevalence and associates of obesity and overweight among school-age children in a rural community of Thailand. Korean Journal of Pediatrics, [online] 62(5), pp.179–186. doi:https://doi.org/10.3345/kjp.2018.06499 [Accessed 08.07.25] |
| Notes: | The sample was from 9 public schools in Baan Na Yao, Chachoengsao Province and Baan Sai Thong, Sa Kaeo Province in central Thailand. NB: Small sample sizes in vocational and higher categories |
| Cutoffs: | WHO |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 9470 |
| Région couverte: | National |
| Références: | Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Définitions (uniquement disponible en anglais): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Taille de l’échantillon: | 12138 |
| Références: | MICS: Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2015-2016
| Taille de l’échantillon: | 10942 |
| Références: | MICS: Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2012-2013
| Taille de l’échantillon: | 8874 |
| Références: | MICS: Thailand multiple indicator cluster survey 2012. MICS. Bangkok, Thailand: NSO, UNICEF, MOPH, NHSO, THPF, IHPP, 2013. |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2005-2006
| Taille de l’échantillon: | 4627558 |
| Références: | MICS: Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 1987
| Taille de l’échantillon: | 1886 |
| Références: | DHS: Thailand demographic and health survey 1987. Demographic and Health Surveys. Institute of Population Studies, Chulalongkorn University. Bangkok, Thailand, 1988 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
Surpoids/obésité selon l'âge
Adultes, 2019-2020
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2019&l=sreport6 [Accessed 11.07.25] |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2013-2015
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 19,331 |
| Région couverte: | National |
| Références: | Report of the 5th National Health Examination Survey 2014. Office of Policy and Strategy, Ministry of Public Health, Health Promotion Fund, Health Systems Research Institute (HSRI). https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2014&l=sreport5 (Accessed 11.07.25) |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2003-2005
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 7279 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2021
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 5661 |
| Région couverte: | National |
| Références: | 2021 GSHS Fact Sheet Thailand. Available at: https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/data-reporting/thailand/2021_thailand_gshs_fact_sheetada1f3cd-2ee4-4258-a01f-b40873aaf988.pdf?sfvrsn=be5c3553_1&download=true |
| Cutoffs: | BMI-for-age-sex |
Enfants, 2003-2005
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 9287 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Surpoids/obésité selon la région
Adultes, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2019&l=sreport6 [Accessed 11.07.25] |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Hommes, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2019&l=sreport6 [Accessed 11.07.25] |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2019&l=sreport6 [Accessed 11.07.25] |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2019&l=sreport6 [Accessed 11.07.25] |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Hommes, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2019&l=sreport6 [Accessed 11.07.25] |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 22,459 |
| Région couverte: | National |
| Références: | Aekplakorn, W., Puckcharern, H., and Satheannoppakao. (2021). The 6th National Health Examination Survey 2019-2020. https://www.hiso.or.th/thaihealthstat/report/sreport.php?y=2019&l=sreport6 [Accessed 11.07.25] |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Hommes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 19,181 |
| Région couverte: | National |
| Références: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 19,181 |
| Région couverte: | National |
| Références: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Hommes, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 19+ |
| Taille de l’échantillon: | 7279 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 19+ |
| Taille de l’échantillon: | 7279 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Hommes, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 19+ |
| Taille de l’échantillon: | 7279 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 19+ |
| Taille de l’échantillon: | 7279 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2020
| Type d’enquête: | Mesuré |
| Âge: | 7-12 |
| Taille de l’échantillon: | 1088 |
| Région couverte: | National |
| Références: | Pongcharoen, T. et al. (2024). South East Asian Nutrition Surveys II (SEANUTS II) Thailand: triple burden of malnutrition among Thai children aged 6 months to 12 years. Public Health Nutrition, [online] 27(1). doi:https://doi.org/10.1017/s1368980024000053 [Accessed 08.07.25] |
| Définitions (uniquement disponible en anglais): | Overweight: BMI-for-age z-scores >1 to ≤2 sd. Obesity: BMI-for-age z-scores >2 sd |
| Cutoffs: | WHO |
Garçons, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 3-18 |
| Taille de l’échantillon: | 9287 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Filles, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 3-18 |
| Taille de l’échantillon: | 9287 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Garçons, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 3-18 |
| Taille de l’échantillon: | 9287 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Filles, 2003-2005
| Type d’enquête: | Mesuré |
| Âge: | 3-18 |
| Taille de l’échantillon: | 9287 |
| Région couverte: | National |
| Références: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 9504 |
| Région couverte: | National |
| Références: | National Statistical Office of Thailand. 2023. Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| Définitions (uniquement disponible en anglais): | Percentage of children under age 5 who are above 2 standard deviations (moderate and severe) of the median weight-for-height of the reference population |
| Cutoffs: | +2 SD |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 9504 |
| Région couverte: | National |
| Références: | Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Définitions (uniquement disponible en anglais): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Taille de l’échantillon: | 12138 |
| Références: | MICS: Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2015-2016
| Taille de l’échantillon: | 10942 |
| Références: | MICS: Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2005-2006
| Taille de l’échantillon: | 4627558 |
| Références: | MICS: Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 1987
| Taille de l’échantillon: | 1886 |
| Références: | DHS: Thailand demographic and health survey 1987. Demographic and Health Surveys. Institute of Population Studies, Chulalongkorn University. Bangkok, Thailand, 1988 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
Surpoids/obésité selon le groupe socio-économique
Adultes, 2021
| Type d’enquête: | Autodéclaré |
| Âge: | 15+ |
| Taille de l’échantillon: | 201,191 |
| Région couverte: | National |
| Références: | Polathep Vichitkunakorn, Warintorn Bunyanukul, Kanarit Apiwan, Detphop Tanasanchonnakul & Monsicha Sittisombut (2025) Prevalence of non-communicable disease risk factors and their association with economic status: findings from the 2021 health behaviour of population survey in Thailand, Global Health Action, 18:1, 2485689, DOI: 10.1080/16549716.2025.2485689 [Accessed 11.07.25] |
| Définitions (uniquement disponible en anglais): | BMI ≥ 23 kg/m² |
| Cutoffs: | WHO Asia |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 9504 |
| Région couverte: | National |
| Références: | National Statistical Office of Thailand. 2023. Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| Notes: | Percentage of children under age 5 who are above 2 standard deviations (moderate and severe) of the median weight-for-height of the reference population |
| Cutoffs: | +2 SD |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 9504 |
| Région couverte: | National |
| Références: | Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Définitions (uniquement disponible en anglais): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Taille de l’échantillon: | 12138 |
| Références: | MICS: Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2015-2016
| Taille de l’échantillon: | 10942 |
| Références: | MICS: Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2012-2013
| Taille de l’échantillon: | 8874 |
| Références: | MICS: Thailand multiple indicator cluster survey 2012. MICS. Bangkok, Thailand: NSO, UNICEF, MOPH, NHSO, THPF, IHPP, 2013. |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2005-2006
| Taille de l’échantillon: | 4627558 |
| Références: | MICS: Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
Double burden of underweight & overweight
Adultes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Références: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Notes: | Age Standardised estimates |
| Définitions (uniquement disponible en anglais): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Enfants, 2022
| Type d’enquête: | Mesuré |
| Âge: | 5-19 |
| Références: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Notes: | Age standardised estimates |
| Définitions (uniquement disponible en anglais): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2019
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Thailand multiple indicator cluster survey 2012. MICS. Bangkok, Thailand: NSO, UNICEF, MOPH, NHSO, THPF, IHPP, 2013. |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2005-2006
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1987
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Thailand demographic and health survey 1987. Demographic and Health Surveys. Institute of Population Studies, Chulalongkorn University. Bangkok, Thailand, 1988 |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
% d'activité physique insuffisante
Adultes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Définitions (uniquement disponible en anglais): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Hommes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Définitions (uniquement disponible en anglais): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Femmes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Définitions (uniquement disponible en anglais): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Adultes, 2016
| Références: | 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 |
Hommes, 2016
| Références: | 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 |
Femmes, 2016
| Références: | 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 |
Enfants, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Garçons, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Filles, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Enfants, 2010
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Garçons, 2010
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Filles, 2010
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Fréquence quotidienne moyenne de consommation de boissons non-alcoolisées gazeuses
Enfants, 2014-2015
| Type d’enquête: | Mesuré |
| Âge: | 12-17 |
| Références: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita fruit intake
Adultes, 2017
| Âge: | 25+ |
| Région couverte: | National |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per capita fruit intake (g/day) |
Prévalence d'une consommation de fruits inférieure à 1 fois par jour
Enfants, 2015
| Type d’enquête: | Autodéclaré |
| Âge: | 12-17 |
| Région couverte: | National |
| Références: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Définitions (uniquement disponible en anglais): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prévalence d'une consommation de légumes inférieure 1 fois par jour
Enfants, 2015
| Type d’enquête: | Autodéclaré |
| Âge: | 12-17 |
| Région couverte: | National |
| Références: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Définitions (uniquement disponible en anglais): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Fréquence hebdomadaire moyenne de consommation de restauration rapide
Enfants, 2014-2015
| Âge: | 12-17 |
| Références: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita processed meat intake
Adultes, 2017
| Âge: | 25+ |
| Région couverte: | National |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adultes, 2017
| Type d’enquête: | Mesuré |
| Âge: | 25+ |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per-capita whole grains intake (g/day) |
Santé mentale - troubles dépressifs
Adultes, 2021
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Hommes, 2021
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Femmes, 2021
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Adultes, 2015
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % of population with depression disorders |
Enfants, 2021
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garçons, 2021
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Filles, 2021
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Santé mentale - troubles anxieux
Adultes, 2021
| Âge: | 20+ |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Hommes, 2021
| Âge: | 20+ |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Femmes, 2021
| Âge: | 20+ |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Adultes, 2015
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % of population with anxiety disorders |
Enfants, 2021
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Garçons, 2021
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Filles, 2021
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% de nourrissons âgés de 0 à 5 mois nourris exclusivement avec du lait maternel
0-5 years, 2015-2022
| Références: | Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report |
| Notes: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Adultes, 2024
| Région couverte: | National |
| Références: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Notes: | The percent of the population whose food budget is below the cost of a healthy diet. |
Adultes, 2022
| Région couverte: | National |
| Références: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Cancer de l'œsophage
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer du sein
Femmes, 2022
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Cancer colorectal
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer du pancréas
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer de la vésicule biliaire
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer des reins
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer de l'utérus
Femmes, 2022
| Âge: | 20+ |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2347 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Hypertension
Adultes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Hommes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Femmes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Hypercholestérolémie
Adultes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Hommes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Femmes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Hyperglycémie à jeun
Hommes, 2014
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Femmes, 2014
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prévalence du diabète
Adultes, 2024
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Adultes, 2021
| Âge: | 20-79 |
| Région couverte: | National |
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Age-adjusted comparative prevalence of diabetes, % |
Adultes, 2019
| Âge: | 20-79 |
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Diabetes age-adjusted comparative prevalence (%). |
Adultes, 2017
| Références: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Femmes, 2022
| Âge: | 20+ |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Leukemia
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Multiple Myeloma
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Non Hodgkin Lymphoma
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Thyroid Cancer
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Present |
| Front-of-package labelling? | Present-(voluntary) |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Present |
| Tax on unhealthy foods? | Incoming |
| Tax on unhealthy drinks? | Present |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Present |
| Mandatory limit of trans fats in place (all settings)? | Present |
| Ban on trans-fats or phos in place (all settings)? | Present |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
| Mandatory restriction on broadcast media? | Incoming |
| Mandatory restriction on non-broadcast media? | Present |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
| Are there mandatory standards for food in schools? | Present-(voluntary) |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Unknown |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Present |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Present |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Present |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated July 21, 2025
Download contextual factors as a PDF Contextual factors definitions