Seychelles
High income
- Vue d’ensemble
- Prévalence de l’obésité
- Tendances au fil du temps
- Ventilation de la population
- Facteurs de risques
- Comorbidités
- 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.Unaffordable diet
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Comorbidités
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)
Stratégies transnationales de lutte contre l'obésité
Étiquetage
Stratégie contre les MNT
Allaitement
Obesity Target
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Contextual factors
Prévalence de l’obésité
Adultes, 2013-2014
Type d’enquête: | Mesuré |
Âge: | 25-64 |
Taille de l’échantillon: | 1240 |
Région couverte: | National |
Références: | National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
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. |
Adultes, 2004
Type d’enquête: | Mesuré |
Âge: | 25-64 |
Taille de l’échantillon: | 1255 |
Région couverte: | National |
Références: | Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 |
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, 1994
Type d’enquête: | Mesuré |
Âge: | 25-64 |
Taille de l’échantillon: | 1059 |
Références: | Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 |
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, 1989
Type d’enquête: | Mesuré |
Âge: | 25-64 |
Taille de l’échantillon: | 1081 |
Références: | P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 |
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, 2019
Type d’enquête: | Mesuré |
Âge: | 9-16 |
Taille de l’échantillon: | Approx 5000 |
Région couverte: | National |
Références: | Mangroo G, Marie G, Bovet P. School Screening Programme: Update of the prevalence of overweight and obesity between 1998 and 2019. Data published in the National Health Strategic Plan 2022-2026 http://www.health.gov.sc/wp-content/uploads/National-Health-Strategic-Plan-2022-2026-Full-Version.pdf |
Notes: | Please note: Original paper not found, methodology found in earlier publications and methodology assumed to be the same though not confirmed. |
Cutoffs: | IOTF |
Enfants, 2016
Type d’enquête: | Mesuré |
Âge: | 5-16 |
Taille de l’échantillon: | 3738 |
Région couverte: | National |
Références: | Aly R, Viswanathan B, Mangroo G, Gedeon J, Bovet P. Trends in obesity, overweight, and thinness in children in the seychelles between 1998 and 2016.Obesity (Silver Spring). 2018 Feb 5. doi: 10.1002/oby.22112. [Epub ahead of print] |
Notes: | Data available between 1998-2016 IOTF International Cut off applied |
Cutoffs: | IOTF |
Enfants, 2015
Type d’enquête: | Autodéclaré |
Âge: | 13-17 |
Taille de l’échantillon: | 2540 |
Région couverte: | National |
Références: | Global School-based Student Health Survey Fact Sheet, https://www.who.int/ncds/surveillance/gshs/gshs_fs_seychelles_2015.pdf (last accessed 24.11.20) |
Cutoffs: | WHO |
Enfants, 2014
Type d’enquête: | Mesuré |
Âge: | 5-16 |
Région couverte: | National |
Références: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Enfants, 2012
Type d’enquête: | Mesuré |
Âge: | 5-16 |
Région couverte: | National |
Références: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Enfants, 2007
Type d’enquête: | Autodéclaré |
Âge: | 13-15 |
Taille de l’échantillon: | 1432 |
Région couverte: | National |
Références: | Global School-based Student Health Survey https://www.who.int/ncds/surveillance/gshs/Seychelles_2007_GSHS_Fact_Sheet.pdf?ua=1 (last accessed 24.11.20) |
Cutoffs: | WHO |
Enfants, 2006
Type d’enquête: | Mesuré |
Âge: | 5-16 |
Région couverte: | National |
Références: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Enfants, 2004-2006
Type d’enquête: | Mesuré |
Âge: | 9-15 |
Taille de l’échantillon: | 8462 |
Région couverte: | National |
Références: | Bovet P, Chiolero A, Madeleine G, Paccaud F. Prevalence of overweight and underweight in public and private schools in the Seychelles. IJPO 2010;5:274-278 |
Notes: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. The survey looks specifically at schools and therefore the total sample may not be truly representative, though currently the best available. |
Cutoffs: | IOTF |
Enfants, 2004
Type d’enquête: | Mesuré |
Âge: | 5-16 |
Région couverte: | National |
Références: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Enfants, 2002
Type d’enquête: | Mesuré |
Âge: | 5-16 |
Région couverte: | National |
Références: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Enfants, 2000
Type d’enquête: | Mesuré |
Âge: | 5-16 |
Région couverte: | National |
Références: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Enfants, 1999
Type d’enquête: | Mesuré |
Âge: | 17 |
Taille de l’échantillon: | 5514 |
Région couverte: | National |
Références: | Steller N, Bover P, Shamlaye H, Zemel BS, Stallings VA, Paccaud F. Prevalence and risk factors for overweight and obesity in children from Seychelles, a country in rapid transition: the importance of early growth. International Journal of Obesity. 2002;26:214-219 |
Cutoffs: | IOTF |
Enfants, 1998
Type d’enquête: | Mesuré |
Âge: | 5-16 |
Région couverte: | National |
Références: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
0-5 years, 2012
Âge: | 0-5 |
Taille de l’échantillon: | 5008 |
Références: | Other: The nutritional status and associated risk factors of 0-5 year old children in Seychelles. 7706 Med Health Project (thesis). Queensland, Australia: Griffith University, 2014. |
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, 1987-1988
Âge: | 0-5 |
Taille de l’échantillon: | 836 |
Références: | Other: Nutritional status of Seychellois children (unpublished data). Victoria, Seychelles, 1989 |
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 |
Filles
Type d’enquête: | Mesuré |
Références: | 1998, 2000, 2002, 2004, 2006, 2012, 2014: Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles 2016: Aly R, Viswanathan B, Mangroo G, Gedeon J, Bovet P. Trends in obesity, overweight, and thinness in children in the seychelles between 1998 and 2016.Obesity (Silver Spring). 2018 Feb 5. doi: 10.1002/oby.22112. [Epub ahead of print] |
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 |
Garçons
Type d’enquête: | Mesuré |
Références: | 1998, 2000, 2002, 2004, 2006, 2012, 2014: Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles 2016: Aly R, Viswanathan B, Mangroo G, Gedeon J, Bovet P. Trends in obesity, overweight, and thinness in children in the seychelles between 1998 and 2016.Obesity (Silver Spring). 2018 Feb 5. doi: 10.1002/oby.22112. [Epub ahead of print] |
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 obesity in the Seychelles 1989-2013
Hommes
Type d’enquête: | Mesuré |
Références: | 1989: P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 1994: Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 2004: Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 2013: National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
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. | |
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: | 1989: P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 1994: Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 2004: Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 2013: National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
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. | |
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 the Seychelles 1989-2013
Hommes
Type d’enquête: | Mesuré |
Références: | 1989: P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 1994: Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 2004: Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 2013: National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
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. | |
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: | 1989: P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 1994: Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 2004: Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 2013: National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
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. | |
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 l'âge
Enfants, 1999
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 5514 |
Région couverte: | National |
Références: | Steller N, Bover P, Shamlaye H, Zemel BS, Stallings VA, Paccaud F. Prevalence and risk factors for overweight and obesity in children from Seychelles, a country in rapid transition: the importance of early growth. International Journal of Obesity. 2002;26:214-219 |
Cutoffs: | IOTF |
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, 2012-2012
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, 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, 2009-2015
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
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, 2009-2015
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, 2009-2015
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) |
Fréquence hebdomadaire moyenne de consommation de restauration rapide
Enfants, 2009-2015
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 |
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) |
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. |
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 (%). |
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Present |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Present |
Color coding? | Absent |
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)? | Incoming |
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? | Absent |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Unknown |
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 October 19, 2022
Download contextual factors as a PDF Contextual factors definitions