Kiribati
Lower-middle income
- Vue d’ensemble
- Prévalence de l’obésité
- 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.Allaitement
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Comorbidités
Politiques (uniquement disponibles en anglais)
Contextual factors
Prévalence de l’obésité
Adultes, 2018
Type d’enquête: | Mesuré |
Âge: | 18+ |
Taille de l’échantillon: | 483 |
Région couverte: | South Tarawa and Butaritari |
Références: | Eme, P. E., et al. “Obesity Measures in the Kiribati Population: A Need to Reclassify Body Mass Index Cut-Points.” BMC Public Health, vol. 20, no. 1, 11 July 2020, 10.1186/s12889-020-09217-z. |
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, 2015-2016
Type d’enquête: | Mesuré |
Âge: | 18-69 |
Taille de l’échantillon: | 1247 |
Région couverte: | National |
Références: | Kiribati STEPS Survey 2015-16 (Factsheet or Report available at https://www.who.int/ncds/surveillance/steps/kiribati/en/ Last accessed 09.10.20) |
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, 2004-2006
Type d’enquête: | Mesuré |
Âge: | 15-64 |
Taille de l’échantillon: | 1755 |
Région couverte: | National |
Références: | Kiribati STEPS Survey 2004-6 |
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, 2022
Type d’enquête: | Autodéclaré |
Âge: | 13-17 |
Taille de l’échantillon: | 2332 |
Région couverte: | National |
Références: | Global School-Based Student Health Survey, Kiribati 2022 Fact Sheet. Available at: https://www.who.int/publications/m/item/2022-gshs-fact-sheet-kiribati (Accessed: 13.06.25) |
Cutoffs: | WHO 2007 |
Enfants, 2011
Type d’enquête: | Autodéclaré |
Âge: | 13-17 |
Taille de l’échantillon: | 1582 |
Région couverte: | National |
Références: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/2011_GSHS_FS_Kiribati.pdf?ua=1 (last accessed 14.12.20) ) |
Cutoffs: | WHO |
0-5 years, 2018-2019
Type d’enquête: | Mesuré |
Âge: | 0-5 |
Taille de l’échantillon: | 2143 |
Région couverte: | National |
Références: | Kiribati National Statistics Office. 2019. Kiribati Social Development Indicator Survey 2018-19, Survey Findings Report. South Tarawa, Kiribati: National Statistics Office. https://mics-surveys-prod.s3.amazonaws.com/MICS6/East%20Asia%20and%20the%20Pacific/Kiribati/2018-2019/Survey%20findings/Kiribati%20MICS%20SDIS%202018-19%20Survey%20Findings%20Report_English.pdf (Accessed 15.06.21) |
Notes: | Infants. |
Définitions (uniquement disponible en anglais): | Weight for Height. Overweight = 2SD-3SD, Obesity = > 3SD |
Cutoffs: | Other |
0-5 years, 2018-2019
Âge: | 0-5 |
Taille de l’échantillon: | 2143 |
Références: | MICS: Kiribati 2018-2019 Social Development Indicator Survey |
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, 1985
Âge: | 0-5 |
Taille de l’échantillon: | 2941 |
Références: | NNS: National nutrition survey, 1985. Government of Kiribati. South Tarawa, Republic of Kiribati, 1990 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Définitions (uniquement disponible en anglais): | =>+2SD |
Surpoids/obésité selon l'âge
Adultes, 2015-2016
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 1247 |
Région couverte: | National |
Références: | Kiribati STEPS Survey Report 2015-16 (available at https://www.who.int/ncds/surveillance/steps/2015-2016_Kiribati_STEPS_report.pdf?ua=1 last accessed 09.10.20) |
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. |
Surpoids/obésité selon la région
Adultes, 2018
Type d’enquête: | Mesuré |
Âge: | 18+ |
Taille de l’échantillon: | 483 |
Région couverte: | South Tarawa and Butaritari |
Références: | Eme, P. E., et al. “Obesity Measures in the Kiribati Population: A Need to Reclassify Body Mass Index Cut-Points.” BMC Public Health, vol. 20, no. 1, 11 July 2020, 10.1186/s12889-020-09217-z. |
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, 2018-2019
Taille de l’échantillon: | 2143 |
Références: | MICS: Kiribati 2018-2019 Social Development Indicator Survey |
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, 2018-2019
Type d’enquête: | Mesuré |
Taille de l’échantillon: | 2143 |
Région couverte: | National |
Références: | Kiribati National Statistics Office. 2019. Kiribati Social Development Indicator Survey 2018-19, Survey Findings Report. South Tarawa, Kiribati: National Statistics Office. https://mics-surveys-prod.s3.amazonaws.com/MICS6/East%20Asia%20and%20the%20Pacific/Kiribati/2018-2019/Survey%20findings/Kiribati%20MICS%20SDIS%202018-19%20Survey%20Findings%20Report_English.pdf (Accessed 15.06.21) |
Notes: | Infants. |
Définitions (uniquement disponible en anglais): | Weight for Height. Overweight = 2SD-3SD, Obesity = > 3SD |
Cutoffs: | Other |
Surpoids/obésité selon le groupe socio-économique
0-5 years, 2018-2019
Taille de l’échantillon: | 2143 |
Références: | MICS: Kiribati 2018-2019 Social Development Indicator Survey |
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, 2018-2019
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) |
Fréquence quotidienne moyenne de consommation de boissons non-alcoolisées gazeuses
Enfants, 2010-2015
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, 2010-2015
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, 2010-2015
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, 2010-2015
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) |
% de nourrissons âgés de 0 à 5 mois nourris exclusivement avec du lait maternel
0-5 years, 2007-2023
Références: | Kiribati 2018-2019 Social Development Indicator Survey |
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. |
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? | Absent |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Absent |
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)? | Absent |
Mandatory limit of trans fats in place (all settings)? | Absent |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Absent |
National target(s) on reducing obesity? | Present |
Promotion of breastfeeding? | Absent |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Absent |
Key
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions