Pakistan
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
Chargement des données en cours, merci de patienter
Risque national d’obésité *6,5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Risque d’obésité infantile *5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Report cards
Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.
Ventilation de la population
Facteurs de risques
Activité insuffisante
Consommation de boissons gazeuses
Consommation de fruits
Consommation de légumes
Consommation de restauration rapide
Consommation de viande transformée
Consommation de céréales
Dépression
Anxiété
Les racines de l'obésité »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Allaitement
Unaffordable diet
Télécharger le rapport d’évaluation
Comorbidités
Cancer de l'œsophage
Cancer du sein
Cancer colorectal
Cancer du pancréas
Cancer de la vésicule biliaire
Cancer des reins
Cancer de l'utérus
Hypertension
Hypercholestérolémie
Hyperglycémie à jeun
Prévalence du diabète
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Télécharger le rapport d’évaluation
Impact économique
Politiques (uniquement disponibles en anglais)
Stratégie nationale de lutte contre l’obésité
Stratégie nutritionnelle ou sanitaire
Activité physique
Taxes/Subventions alimentaires (y compris les boissons)
Actions communautaires
Stratégies transnationales de lutte contre l'obésité
Stratégie contre les MNT
Training
Allaitement
Télécharger le rapport d’évaluation
Contextual factors
Prévalence de l’obésité
Femmes, 2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 123092 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | Nutritional status of non-pregnant women of reproductive age |
| 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, 2017-2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 3722 |
| Région couverte: | National |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.pdf |
| 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, 2013-2014
| Type d’enquête: | Mesuré |
| Âge: | 18-69 |
| Taille de l’échantillon: | 7710 |
| Région couverte: | Régional |
| Références: | STEPS Pakistan 2013/14 Fact Sheet (full report would not download) https://www.who.int/ncds/surveillance/steps/2014_Pakistan_STEPS_FactSheet.pdf (last accessed 05.11.19) Report https://www.who.int/ncds/surveillance/steps/2014_Pakistan_STEPS_Report.pdf (last accessed 19.10.20) |
| Notes: | Punjab & Siindh Province of Pakistan STEPS |
| 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, 2012-2013
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 4170 |
| Région couverte: | National |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan and ICF International. |
| 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, 1990-1994
| Type d’enquête: | Mesuré |
| Âge: | 15+ |
| Taille de l’échantillon: | 8972 |
| Région couverte: | National |
| Références: | Jafar TH, Chaturvedi N and Pappas G. (2006). Prevalence of overweight and obesity and their association with hypertension and diabetes mellitus in an Indo-Asian population. CMAJ, 175(9):1071 - 1077. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2021
| Type d’enquête: | Mesuré |
| Âge: | 9-17 |
| Taille de l’échantillon: | 3551 |
| Région couverte: | National |
| Références: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
| Cutoffs: | CDC US 2000 BMI charts |
Enfants, 2018
| Type d’enquête: | Mesuré |
| Âge: | 10-19 |
| Taille de l’échantillon: | 103618 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | BMI-for-age cut-offs also available NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 21.10.20)' |
| Cutoffs: | WHO |
Enfants, 2009-2010
| Type d’enquête: | Mesuré |
| Âge: | 5-12 |
| Taille de l’échantillon: | 1860 |
| Région couverte: | Régional |
| Références: | Mushtaq MU, Gull S, Mushtaq K, Agdullah HM, Khurshid U, Shahid U, Shad MA, Akram J. Height, weight and BMI percentiles and nutritional status relative to the international growth references among Pakistani school-aged children. BMC Pediatrics 2012, 12:31 doi:10.1186/1471-2431-12-31 |
| Notes: | Region: Lahore, IOTF Cut Off (it assumed that the paper oveweight includes obesity) |
| Cutoffs: | IOTF |
Enfants, 2008-2009
| Type d’enquête: | Autodéclaré |
| Âge: | 13-15 |
| Taille de l’échantillon: | 5192 |
| Région couverte: | National |
| Références: | Global School based Student Health Survey Pakistan available at https://www.who.int/ncds/surveillance/gshs/Pakistan_2009_FS.pdf?ua=1(last accessed 14.12.20) |
| Cutoffs: | WHO |
0-5 years, 2017-2018
| Âge: | 0-5 |
| Taille de l’échantillon: | 3547 |
| Références: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2012-2013
| Âge: | 0-5 |
| Taille de l’échantillon: | 3617 |
| Références: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2011
| Âge: | 0-5 |
| Taille de l’échantillon: | 23046874 |
| Références: | NNS: National nutrition survey Pakistan, 2011. Islamabad, Pakistan: Aga Khan University, PMRC, Government of Pakistan and UNICEF, 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, 2001
| Âge: | 0-5 |
| Taille de l’échantillon: | 9584 |
| Références: | NNS: National nutrition survey 2001-2002. Islamabad, Pakistan: Planning Commission, Government of Pakistan and UNICEF, 2004 |
| 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, 1990-1991
| Âge: | 0-5 |
| Taille de l’échantillon: | 4366 |
| Références: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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, 1990-1991
| Âge: | 0-5 |
| Taille de l’échantillon: | 4367 |
| Références: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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, 1990-1994
| Âge: | 0-5 |
| Taille de l’échantillon: | 3240 |
| Références: | Other: National health survey of Pakistan (NHSP, 1990-94): Health profile of the people of Pakistan. Islamabad, Pakistan, 1998 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 1985-1987
| Âge: | 0-5 |
| Taille de l’échantillon: | 6707 |
| Références: | NNS: National nutrition survey 1985-87 report. National Institute of Health, Nutrition Division. Islamabad, Pakistan, 1988 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
% Adults living with overweight or obesity in Pakistan 2012-2018
| Type d’enquête: | Mesuré |
| Références: | 2012: National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan and ICF International. 2017: National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.pdf 2018: Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| 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 | |
Trend Adult Obesity 2012 2018
| Type d’enquête: | Mesuré |
| Références: | 2012: National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan and ICF International. 2017: National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.pdf 2018: Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| 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, 2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 123092 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | Non-pregnant 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. | |
Femmes, 2017-2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 4690 |
| Région couverte: | National |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://dhsprogram.com/pubs/pdf/FR354/FR354.pdf (last accessed 06.06.2022) |
| 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. | |
Femmes, 2011-2012
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 4,767 |
| Région couverte: | National |
| Références: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2021
| Type d’enquête: | Mesuré |
| Âge: | 9-17 |
| Taille de l’échantillon: | 3551 |
| Région couverte: | National |
| Références: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
| Cutoffs: | CDC US 2000 BMI charts |
Garçons, 2018
| Type d’enquête: | Mesuré |
| Âge: | 10-19 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
Filles, 2018
| Type d’enquête: | Mesuré |
| Âge: | 10-19 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
0-5 years, 2017-2018
| Taille de l’échantillon: | 3547 |
| Références: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2012-2013
| Taille de l’échantillon: | 3617 |
| Références: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 1990-1991
| Taille de l’échantillon: | 4366 |
| Références: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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, 2018
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 123092 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | Nutritional status of non-pregnant women of reproductive age |
| 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, 2017-2018
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 4690 |
| Région couverte: | National |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| 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. | |
Femmes, 2011-2012
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 4,767 |
| Région couverte: | National |
| Références: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
| 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, 2010
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 3916 |
| Région couverte: | National |
| Références: | Prevalence and Sociodemographic Factors of Overweight and Obesity among Pakistani Adults. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118000/ (last accessed 06.06.2022) |
| 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, 2010
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 6147 |
| Région couverte: | National |
| Références: | Prevalence and Sociodemographic Factors of Overweight and Obesity among Pakistani Adults. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118000/ (last accessed 06.06.2022) |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2021
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 3551 |
| Région couverte: | National |
| Références: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
| Cutoffs: | CDC US 2000 BMI charts |
Surpoids/obésité selon la région
Femmes, 2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 123092 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | Nutritional status of non-pregnant women of reproductive age |
| 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, 2017-2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 1982 |
| Région couverte: | Regional - Punjab |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| 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. | |
Femmes, 2017-2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 898 |
| Région couverte: | Regional - Sindh |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| 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. | |
Femmes, 2017-2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 576 |
| Région couverte: | Regional - Khyber Pakhtunkhwa |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| 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. | |
Femmes, 2017-2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 175 |
| Région couverte: | Regional - Balochistan |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| 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. | |
Femmes, 2011-2012
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 4,767 |
| Références: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2021
| Type d’enquête: | Mesuré |
| Âge: | 9-17 |
| Taille de l’échantillon: | 3551 |
| Région couverte: | National |
| Références: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
| Cutoffs: | CDC US 2000 BMI charts |
Garçons, 2018
| Type d’enquête: | Mesuré |
| Âge: | 10-19 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
Filles, 2018
| Type d’enquête: | Mesuré |
| Âge: | 10-19 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
Enfants, 2009
| Type d’enquête: | Mesuré |
| Âge: | 5-12 |
| Taille de l’échantillon: | 1860 |
| Région couverte: | Lahore, Pakistan |
| Références: | Mushtaq MU, Gull S, Abdullah HM et al. Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health, 2011: Volume 11, Number 1, Page 1 |
| Notes: | Overweight (> + 1SD) and obesity (> + 2SD) were defined using the World Health Organization child growth reference 2007. |
| Cutoffs: | WHO |
0-5 years, 2017-2018
| Taille de l’échantillon: | 3547 |
| Références: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2012-2013
| Taille de l’échantillon: | 3617 |
| Références: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2011
| Taille de l’échantillon: | 23046874 |
| Références: | NNS: National nutrition survey Pakistan, 2011. Islamabad, Pakistan: Aga Khan University, PMRC, Government of Pakistan and UNICEF, 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, 2001
| Taille de l’échantillon: | 9584 |
| Références: | NNS: National nutrition survey 2001-2002. Islamabad, Pakistan: Planning Commission, Government of Pakistan and UNICEF, 2004 |
| 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, 1990-1991
| Taille de l’échantillon: | 4366 |
| Références: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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, 1990-1994
| Taille de l’échantillon: | 3240 |
| Références: | Other: National health survey of Pakistan (NHSP, 1990-94): Health profile of the people of Pakistan. Islamabad, Pakistan, 1998 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
Surpoids/obésité selon le groupe socio-économique
Femmes, 2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 123092 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | Non-pregnant 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. | |
Femmes, 2017-2018
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 4690 |
| Région couverte: | National |
| Références: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://dhsprogram.com/pubs/pdf/FR354/FR354.pdf (last accessed 06.06.2022) |
| 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. | |
Femmes, 2011-2012
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 4,767 |
| Région couverte: | National |
| Références: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
| 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. | |
Garçons, 2018
| Type d’enquête: | Mesuré |
| Âge: | 10-19 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
Filles, 2018
| Type d’enquête: | Mesuré |
| Âge: | 10-19 |
| Région couverte: | National |
| Références: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| Notes: | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
Enfants, 2009
| Type d’enquête: | Mesuré |
| Âge: | 5-12 |
| Taille de l’échantillon: | 1860 |
| Région couverte: | Subnational - Lahore |
| Références: | Mushtaq MU, Gull S, Abdullah HM, Shahid U, Shad MA, Akram J. Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health. 2011;11:724. doi:10.1186/1471-2458-11-724. |
| Notes: | Overweight (> + 1SD) and obesity (> + 2SD) were defined using the World Health Organization child growth reference 2007. |
| Cutoffs: | WHO |
0-5 years, 2017-2018
| Taille de l’échantillon: | 3547 |
| Références: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2012-2013
| Taille de l’échantillon: | 3617 |
| Références: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 1990-1991
| Taille de l’échantillon: | 4366 |
| Références: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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, 2017-2018
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | National nutrition survey Pakistan, 2011. Islamabad, Pakistan: Aga Khan University, PMRC, Government of Pakistan and UNICEF, 2012 |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2001
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | National nutrition survey 2001-2002. Islamabad, Pakistan: Planning Commission, Government of Pakistan and UNICEF, 2004 |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1990-1991
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notes: | Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| Définitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
% d'activité physique insuffisante
Adultes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Définitions (uniquement disponible en anglais): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Hommes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Définitions (uniquement disponible en anglais): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Femmes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Définitions (uniquement disponible en anglais): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Adultes, 2016
| Références: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Hommes, 2016
| Références: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Femmes, 2016
| Références: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Enfants, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Garçons, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Filles, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Enfants, 2010
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Garçons, 2010
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Filles, 2010
| Âge: | 11-17 |
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Fréquence quotidienne moyenne de consommation de boissons non-alcoolisées gazeuses
Enfants, 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, 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) |
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
| Références: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Définitions (uniquement disponible en anglais): | % of population with depression disorders |
Enfants, 2021
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garçons, 2021
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Filles, 2021
| Région couverte: | National |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Santé mentale - troubles anxieux
Adultes, 2021
| Âge: | 20+ |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Hommes, 2021
| Âge: | 20+ |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Femmes, 2021
| Âge: | 20+ |
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Adultes, 2015
| Références: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Définitions (uniquement disponible en anglais): | % of population with anxiety disorders |
Enfants, 2021
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Garçons, 2021
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Filles, 2021
| Références: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% de nourrissons âgés de 0 à 5 mois nourris exclusivement avec du lait maternel
0-5 years, 2010-2023
| Références: | Pakistan 2018 National Nutrition 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. |
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
| 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 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer du sein
Femmes, 2022
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Cancer colorectal
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer du pancréas
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer de la vésicule biliaire
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer des reins
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer de l'utérus
Femmes, 2022
| Âge: | 20+ |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2273 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Hypertension
Adultes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Hommes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Femmes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Hypercholestérolémie
Adultes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Hommes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Femmes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Hyperglycémie à jeun
Hommes, 2014
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Femmes, 2014
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prévalence du diabète
Adultes, 2024
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Adultes, 2021
| Âge: | 20-79 |
| Région couverte: | National |
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Age-adjusted comparative prevalence of diabetes, % |
Adultes, 2019
| Âge: | 20-79 |
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Diabetes age-adjusted comparative prevalence (%). |
Adultes, 2017
| Références: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Femmes, 2022
| Âge: | 20+ |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Leukemia
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Multiple Myeloma
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Non Hodgkin Lymphoma
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Thyroid Cancer
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | 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)? | Present |
| Mandatory limit of trans fats in place (all settings)? | Present |
| 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? | Present |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Absent |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated June 19, 2025
Download contextual factors as a PDF Contextual factors definitions
