Sri Lanka
Lower-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 fruits
Consommation de légumes
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 nationale de lutte contre l’obésité
Stratégie nutritionnelle ou sanitaire
Activité physique
Taxes/Subventions alimentaires (y compris les boissons)
Actions communautaires
Étiquetage
Stratégie contre les MNT
Directives de prise en charge ou de traitement
Allaitement
Obesity Target
Télécharger le rapport d’évaluation
Contextual factors
Prévalence de l’obésité
Adultes, 2022
Type d’enquête: | Mesuré |
Âge: | 18-60 |
Taille de l’échantillon: | 2352 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23) |
Notes: | 1560 women and 792 men NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2022 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 29.09.23) |
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, 2021
Type d’enquête: | Mesuré |
Âge: | 18-69 |
Taille de l’échantillon: | 6267 |
Région couverte: | National |
Références: | Sri Lanka STEPS Survey 2021 Fact Sheet https://www.ncd.health.gov.lk/images/pdf/Steps-Fact-Sheet.pdf (Accessed 21.07.23) |
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, 2016
Type d’enquête: | Mesuré |
Âge: | 15-49 |
Taille de l’échantillon: | 16806 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
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, 2014-2015
Type d’enquête: | Mesuré |
Âge: | 18-69 |
Taille de l’échantillon: | 5188 |
Région couverte: | National |
Références: | STEPS Survey Sri lanka 2014, available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/614 (last accessed 16.10.20) |
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: | 15-49 |
Taille de l’échantillon: | 2146 |
Région couverte: | National |
Références: | Jayatissa, R., Hossain, S.M., Gunawardana, S., Ranbanda, J.M., Gunathilaka, M. and De Silva, P.C., 2012. Prevalence and associations of overweight among adult women in Sri Lanka: a national survey. Sri Lanka Journal of Diabetes Endocrinology and Metabolism, 2(2). |
Notes: | The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA 15-49 years only |
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, 2006-2007
Type d’enquête: | Mesuré |
Âge: | 15-49 |
Taille de l’échantillon: | 12757 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. |
Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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, 2005-2006
Type d’enquête: | Mesuré |
Âge: | 18+ |
Taille de l’échantillon: | 4532 |
Région couverte: | National |
Références: | Katulanda P, Jayawardena MAR, Sheriff MHR, Constantine GR and Matthews DR. (2010). Prevalence of overweight and obesity in Sri Lankan adults. Obesity Reviews, pp 1 - 6. |
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, 2024
Type d’enquête: | Autodéclaré |
Âge: | 13-17 |
Taille de l’échantillon: | 2912 |
Région couverte: | National |
Références: | Global School-based Student Health Survey, Sri Lanka 2024 Fact Sheet. Available at: https://www.who.int/publications/m/item/2024-gshs-fact-sheet-sri-lanka (Accessed: 12.06.25) |
Cutoffs: | WHO 2007 |
Enfants, 2022
Type d’enquête: | Mesuré |
Âge: | 5-9 |
Taille de l’échantillon: | 667 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23) |
Notes: | Small sample size. Report provides prevalence by age but given small sample sizes they are not reported here. |
Cutoffs: | WHO |
Enfants, 2022
Type d’enquête: | Mesuré |
Âge: | 10-17 |
Taille de l’échantillon: | 484 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23) |
Notes: | Small sample size. Report provides prevalence by age by given small sample sizes they are not reported here. |
Cutoffs: | WHO |
Enfants, 2017
Type d’enquête: | Mesuré |
Âge: | 10-18 |
Taille de l’échantillon: | 2570 |
Région couverte: | National |
Références: | Jayatissa R, Fervando D.N, Perera A, De Alwis N, National Nutrition and Micronutrient Survey among school adolescents aged 10-18 years in Sri Lanka 2017. Medical research Institute, Ministry of Health, Colombo 2019 |
Définitions (uniquement disponible en anglais): | BMI-for-age-sex between 1 SD and 2SD as overweight and BMI-for-age-sex >2SD as obesity. |
Cutoffs: | WHO |
Enfants, 2017
Type d’enquête: | Mesuré |
Âge: | 6-12 |
Taille de l’échantillon: | 8405 |
Région couverte: | National |
Références: | 2017 Nutritional Status, Dietary Practices and Pattern of Physical Activity Among School Children Aged 6-12 Years https://www.mri.gov.lk/assets/Nutrition/2017-NUTRITIONAL-STATUS-DIETARY-PRACTICES-AND-PATTERN-OF-PHYSICAL-ACTIVITY-A....pdf (accessed 29.09.23) |
Cutoffs: | WHO 2007 |
Enfants, 2008
Type d’enquête: | Autodéclaré |
Âge: | 13-15 |
Taille de l’échantillon: | 2611 |
Région couverte: | National |
Références: | Global School-based Student Health Survey, Sri Lanka 2008 Fact sheet https://www.who.int/ncds/surveillance/gshs/Sri_Lanka_GSHS_FS_2008.pdf?ua=1 |
Cutoffs: | WHO |
Enfants, 2003
Type d’enquête: | Mesuré |
Âge: | 10-15 |
Taille de l’échantillon: | 6264 |
Région couverte: | National |
Références: | Jayatissa R and Ranbanda RM. (2006). Prevalence of challenging nutritional problems among adolescents in Sri Lanka. Food and Nutrition Bulletin, 27(2): 153 - 160. |
Notes: | IOTF International Cut Off Please note these figures are for combined overweight & obesity (NOT Obesity) |
Cutoffs: | IOTF |
0-5 years, 2022
Type d’enquête: | Mesuré |
Âge: | 0-5 |
Taille de l’échantillon: | 1346 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23 |
Cutoffs: | WHO |
0-5 years, 2016
Type d’enquête: | Mesuré |
Âge: | 0-5 |
Taille de l’échantillon: | 7908 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 18.05.21) |
Notes: | Infants. |
Définitions (uniquement disponible en anglais): | Weight for Height. Overweight = >2SD |
Cutoffs: | Other |
0-5 years, 2016
Âge: | 0-5 |
Taille de l’échantillon: | 7823 |
Références: | DHS-Style: Sri Lanka Demographic and Health Survey 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
Âge: | 0-5 |
Taille de l’échantillon: | 7305 |
Références: | Other: Sri Lanka National Nutrition and Micronutrient Survey 2012 |
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, 2009
Âge: | 0-5 |
Taille de l’échantillon: | 2589 |
Références: | NNS: Nutrition and food security survey 2009. Colombo, Sri Lanka: Medical Research Institute, 2010. |
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, 2006-2007
Âge: | 0-5 |
Taille de l’échantillon: | 6738 |
Références: | DHS: Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH, 2009 |
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, 2000
Âge: | 0-5 |
Taille de l’échantillon: | 2374 |
Références: | DHS-Style: Sri Lanka demographic and health survey 2000. Colombo, Sri Lanka, 2001 |
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, 1993
Âge: | 0-5 |
Taille de l’échantillon: | 3077474048 |
Références: | DHS-Style: Sri Lanka demographic and health survey 1993. Colombo, Sri Lanka, 1995 |
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: | 2000 |
Références: | DHS: Sri Lanka demographic and health survey 1987. Demographic and Health Surveys. Colombo, Sri Lanka, 1987 |
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 Sri Lanka 2006-2016
Type d’enquête: | Mesuré |
Références: | 2006: Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. 2009: Jayatissa, R., Hossain, S.M., Gunawardana, S., Ranbanda, J.M., Gunathilaka, M. and De Silva, P.C., 2012. Prevalence and associations of overweight among adult women in Sri Lanka: a national survey. Sri Lanka Journal of Diabetes Endocrinology and Metabolism, 2(2). 2016: Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
Notes: | Aged 15-49 |
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 Sri Lanka 2006-2016
Références: | 2006: Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. 2009: Jayatissa, R., Hossain, S.M., Gunawardana, S., Ranbanda, J.M., Gunathilaka, M. and De Silva, P.C., 2012. Prevalence and associations of overweight among adult women in Sri Lanka: a national survey. Sri Lanka Journal of Diabetes Endocrinology and Metabolism, 2(2). 2016: Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
Notes: | Aged 15-49 |
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
Femmes, 2016
Type d’enquête: | Mesuré |
Âge: | 15-49 |
Taille de l’échantillon: | 16806 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
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, 2006-2007
Type d’enquête: | Mesuré |
Âge: | 15-49 |
Taille de l’échantillon: | 12757 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. |
Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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, 2017
Type d’enquête: | Mesuré |
Âge: | 6-12 |
Taille de l’échantillon: | 8405 |
Région couverte: | National |
Références: | 2017 Nutritional Status, Dietary Practices and Pattern of Physical Activity Among School Children Aged 6-12 Years https://www.mri.gov.lk/assets/Nutrition/2017-NUTRITIONAL-STATUS-DIETARY-PRACTICES-AND-PATTERN-OF-PHYSICAL-ACTIVITY-A....pdf (accessed 29.09.23) |
Cutoffs: | WHO 2007 |
0-5 years, 2016
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 6978 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 18.05.21) |
Notes: | Infants. |
Définitions (uniquement disponible en anglais): | Weight for Height. Overweight = >2SD |
Cutoffs: | Other |
0-5 years, 2016
Taille de l’échantillon: | 7823 |
Références: | DHS-Style: Sri Lanka Demographic and Health Survey 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, 2006-2007
Taille de l’échantillon: | 6738 |
Références: | DHS: Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH, 2009 |
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, 2000
Taille de l’échantillon: | 2374 |
Références: | DHS-Style: Sri Lanka demographic and health survey 2000. Colombo, Sri Lanka, 2001 |
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, 1993
Taille de l’échantillon: | 3077474048 |
Références: | DHS-Style: Sri Lanka demographic and health survey 1993. Colombo, Sri Lanka, 1995 |
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: | 2000 |
Références: | DHS: Sri Lanka demographic and health survey 1987. Demographic and Health Surveys. Colombo, Sri Lanka, 1987 |
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
Femmes, 2022
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 1560 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23) |
Notes: | 1560 women |
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, 2022
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 792 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23) |
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, 2016
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 16806 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
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, 2015
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 4731 (1859 males, 2872 females) |
Région couverte: | National |
Références: | Non Communicable Disease Risk Factor Survey Sri Lanka 2015. Available at: https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/data-reporting/sri-lanka/steps/steps-report-2015-sri-lanka.pdf?sfvrsn=6b56d56c_5&download=true |
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, 2024
Type d’enquête: | Autodéclaré |
Taille de l’échantillon: | 2912 |
Région couverte: | National |
Références: | Global School-based Student Health Survey Sri Lanka 2024. Family Health Bureau of the Ministry of Health and Mass Media & Ministry of Education, Higher Education and Vocational Education. WHO: Sri Lanka. |
Cutoffs: | WHO 2007 |
Enfants, 2017
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 2570 |
Région couverte: | National |
Références: | Jayatissa R, Fervando D.N, Perera A, De Alwis N, National Nutrition and Micronutrient Survey among school adolescents aged 10-18 years in Sri Lanka 2017. Medical research Institute, Ministry of Health, Colombo 2019 |
Définitions (uniquement disponible en anglais): | BMI-for-age-sex between 1 SD and 2SD as overweight and BMI-for-age-sex >2SD as obesity. |
Cutoffs: | WHO |
Enfants, 2017
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 8405 |
Région couverte: | National |
Références: | 2017 Nutritional Status, Dietary Practices and Pattern of Physical Activity Among School Children Aged 6-12 Years https://www.mri.gov.lk/assets/Nutrition/2017-NUTRITIONAL-STATUS-DIETARY-PRACTICES-AND-PATTERN-OF-PHYSICAL-ACTIVITY-A....pdf (accessed 29.09.23) |
Cutoffs: | WHO 2007 |
Enfants, 2002
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 1224 (588 males, 636 females) |
Région couverte: | Colombo City |
Références: | Nutritional status of schoolchildren in an urban area of Sri Lanka. Available at: https://cmj.sljol.info/articles/abstract/10.4038/cmj.v49i4.1920/ |
Cutoffs: | d sex and age specific body mass index (BMI) cut off values recommended by the International Obesity Task Force (IOTF) |
Surpoids/obésité selon la région
Hommes, 2022
Type d’enquête: | Mesuré |
Âge: | 18-60 |
Taille de l’échantillon: | 2352 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23) |
Notes: | 1560 women and 792 men |
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
Type d’enquête: | Mesuré |
Âge: | 18-60 |
Taille de l’échantillon: | 2352 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23) |
Notes: | 1560 women and 792 men |
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, 2016
Type d’enquête: | Mesuré |
Âge: | 15-49 |
Taille de l’échantillon: | 16806 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
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, 2006-2007
Type d’enquête: | Mesuré |
Âge: | 15-49 |
Taille de l’échantillon: | 12757 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. |
Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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, 2017
Type d’enquête: | Mesuré |
Âge: | 10-18 |
Taille de l’échantillon: | 2570 |
Région couverte: | National |
Références: | Jayatissa R, Fervando D.N, Perera A, De Alwis N, National Nutrition and Micronutrient Survey among school adolescents aged 10-18 years in Sri Lanka 2017. Medical research Institute, Ministry of Health, Colombo 2019 |
Définitions (uniquement disponible en anglais): | BMI-for-age-sex between 1 SD and 2SD as overweight and BMI-for-age-sex >2SD as obesity. |
Cutoffs: | WHO |
Enfants, 2017
Type d’enquête: | Mesuré |
Âge: | 6-12 |
Taille de l’échantillon: | 8405 |
Région couverte: | National |
Références: | 2017 Nutritional Status, Dietary Practices and Pattern of Physical Activity Among School Children Aged 6-12 Years https://www.mri.gov.lk/assets/Nutrition/2017-NUTRITIONAL-STATUS-DIETARY-PRACTICES-AND-PATTERN-OF-PHYSICAL-ACTIVITY-A....pdf (accessed 29.09.23) |
Cutoffs: | WHO 2007 |
0-5 years, 2022
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 1346 |
Région couverte: | National |
Références: | National Nutrition and Micronutrient Survey in Sri Lanka: 2022 https://www.mri.gov.lk/wp-content/uploads/2023/05/National-Nutrition-and-Micronutrient-Survey-Sri-Lanka-2022.pdf (Accessed 26.09.23 |
Cutoffs: | WHO |
0-5 years, 2016
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 7908 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 18.05.21) |
Notes: | Infants. |
Définitions (uniquement disponible en anglais): | Weight for Height. Overweight = >2SD |
Cutoffs: | Other |
0-5 years, 2016
Taille de l’échantillon: | 7823 |
Références: | DHS-Style: Sri Lanka Demographic and Health Survey 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
Taille de l’échantillon: | 7305 |
Références: | Other: Sri Lanka National Nutrition and Micronutrient Survey 2012 |
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, 2009
Taille de l’échantillon: | 2589 |
Références: | NNS: Nutrition and food security survey 2009. Colombo, Sri Lanka: Medical Research Institute, 2010. |
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, 2006-2007
Taille de l’échantillon: | 6738 |
Références: | DHS: Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH, 2009 |
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, 2000
Taille de l’échantillon: | 2374 |
Références: | DHS-Style: Sri Lanka demographic and health survey 2000. Colombo, Sri Lanka, 2001 |
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, 1993
Taille de l’échantillon: | 3077474048 |
Références: | DHS-Style: Sri Lanka demographic and health survey 1993. Colombo, Sri Lanka, 1995 |
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: | 2000 |
Références: | DHS: Sri Lanka demographic and health survey 1987. Demographic and Health Surveys. Colombo, Sri Lanka, 1987 |
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
Femmes, 2016
Type d’enquête: | Mesuré |
Âge: | 15-49 |
Taille de l’échantillon: | 16806 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
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, 2006-2007
Type d’enquête: | Mesuré |
Âge: | 15-49 |
Taille de l’échantillon: | 12757 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. |
Notes: | Prevalence of overweight and obesity in females by wealth quintile Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
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, 2016
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 7908 |
Région couverte: | National |
Références: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 18.05.21) |
Notes: | Infants |
Définitions (uniquement disponible en anglais): | Weight for Height. Overweight = >2SD |
Cutoffs: | Other |
0-5 years, 2016
Taille de l’échantillon: | 7823 |
Références: | DHS-Style: Sri Lanka Demographic and Health Survey 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 |
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, 2016-2016
Type d’enquête: | Mesuré |
Âge: | 0-5 |
Références: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
Notes: | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
% 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) |
Estimated per capita fruit 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 fruit intake (g/day) |
Prévalence d'une consommation de fruits inférieure à 1 fois par jour
Enfants, 2008-2015
Type d’enquête: | Mesuré |
Âge: | 12-17 |
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, 2008-2015
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 |
Définitions (uniquement disponible en anglais): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Consommation estimée de viande transformée par habitant
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 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, 2015-2021
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 |
Adultes, 2015-2021
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 |
Hommes, 2015-2021
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 |
Femmes, 2015-2021
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, 2015-2021
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 |
Adultes, 2015-2021
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 |
Hommes, 2015-2021
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 |
Femmes, 2015-2021
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: | Sri Lanka Demographic and Health Survey 2016 |
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, 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, 2020-2022
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 10.01.2331 |
Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020-2022
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 10.01.2331 |
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, 2020-2022
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 10.01.2331 |
Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020-2022
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 10.01.2331 |
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, 2020-2022
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 10.01.2331 |
Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020-2022
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 10.01.2331 |
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, 2020-2022
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 10.01.2331 |
Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020-2022
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 10.01.2331 |
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, 2020-2022
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 10.01.2331 |
Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020-2022
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 10.01.2331 |
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, 2020-2022
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 10.01.2331 |
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. |
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 |
Back-of-pack nutrition declaration? | Absent |
Color coding? | Present |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Present |
Tax on unhealthy foods? | Absent |
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)? | Incoming |
Mandatory limit of trans fats in place (all settings)? | Absent |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Present |
National obesity strategy? | Absent |
National childhood obesity strategy? | Present |
Comprehensive nutrition strategy? | Absent |
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? | Absent |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Absent |
Key
Last updated August 14, 2024
Download contextual factors as a PDF Contextual factors definitions