• Общ преглед
  • Разпространение на затлъстяването
  • Тенденции във времето
  • Разбивки на населението
  • Причини
  • Съпътстващи заболявания
  • Икономическо въздействие
  • Политики
  • Contextual factors
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Contextual factors

Разпространение на затлъстяването

Жени, 2018

Тип анкета:Измерено
Възраст:15-49
Количество на пробите:4357
Обхваната зона:Национално
Референции:Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf last accessed 03.08.2022
Забележки:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Жени, 2012-2013

Тип анкета:Измерено
Възраст:15-49
Количество на пробите:4502
Обхваната зона:Национално
Референции:Cellule de Planification et de Statistique (CPS/SSDSPF), Institut National de la Statistique (INSTAT/MPATP), INFO-STAT et ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA : CPS, INSTAT, INFO-STAT et ICF International.
Забележки:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Жени, 2006

Тип анкета:Измерено
Възраст:15-49
Количество на пробите:12010
Обхваната зона:Национално
Референции:Cellule de Planification et de Statistique du Ministère de la Santé - CPS/MS/Mali, Direction Nationale de la Statistique et de l’Informatique du Ministère de l’Économie, de l’Industrie et du Commerce - DNSI/MEIC/Mali and Macro International. 2007. Enquête Démographique et de Santé du Mali 2006. Calverton, Maryland, USA: CPS/DNSI and Macro International.
Забележки:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Жени, 1996

Тип анкета:Измерено
Възраст:15-49
Количество на пробите:4327
Референции:Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
Забележки:The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Момичета, 2012-2013

Тип анкета:Измерено
Възраст:15-19
Количество на пробите:696
Обхваната зона:Национално
Референции:Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Cellule de Planification et de Statistique (CPS/SSDSPF), Institut National de la Statistique (INSTAT/MPATP), INFO-STAT et ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA : CPS, INSTAT, INFO-STAT et ICF International.
Забележки:Small sample size
Определения:BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007

Infants, 2022

Възраст:0-5
Количество на пробите:11174
Референции:SMART: ENQUÊTE NUTRITIONNELLE ANTHROPOMETRIQUE ET DE MORTALITE RETROSPECTIVE EN SEPTEMBRE 2022 12 E EDITION AU MALI
Забележки: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.
Определения:=>+2SD

Infants, 2021

Възраст:0-5
Количество на пробите:8005
Референции:SMART: Rapport Finale de l'Enquete Nutritionnelle Anthropometrique et de Mortality Retrospective 11e Edition au Mali
Забележки: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.
Определения:=>+2SD

Infants, 2020

Възраст:0-5
Количество на пробите:8837
Референции:SMART: 10ème Enquête Nutritionnelle Anthropométrique et de Mortalité Rétrospective basée sur la méthodologie SMART au Mali (SMART-2020 Mali)
Забележки: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.
Определения:=>+2SD

Infants, 2019

Възраст:0-5
Количество на пробите:12952
Референции:SMART: Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité rétrospective suivant la méthodologie SMART, Mali 2019
Забележки: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.
Определения:=>+2SD

Infants, 2018

Възраст:0-5
Количество на пробите:9881
Референции:DHS: Enquête Démographique et de Santé au Mali 2018. Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF
Забележки: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.
Определения:=>+2SD

Infants, 2017

Възраст:0-5
Количество на пробите:13861
Референции:SMART: Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité rétrospective suivant la méthodologie SMART, Mali 2017
Забележки: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.
Определения:=>+2SD

Infants, 2016

Възраст:0-5
Количество на пробите:8000
Референции:SMART: Enquête Nutritionnelle et de Mortalité Rétrospective, Mali, 2016
Забележки: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.
Определения:=>+2SD

Infants, 2015

Възраст:0-5
Количество на пробите:15723
Референции:MICS: Enquête par Grappes à Indicateurs Multiples au Mali (MICS-Mali), 2015, Résultats clés. Bamako, Mali, INSTAT
Забележки: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.
Определения:=>+2SD

Момичета, 2014

Възраст:0-5
Количество на пробите:17745
Референции:SMART: Enquête Nutritionnelle et de Mortalité, Rétrospective, Mali, 2014
Забележки: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.
Определения:=>+2SD

Infants, 2014

Възраст:0-5
Количество на пробите:17744
Референции:SMART: Enquête Nutritionnelle et de Mortalité, Rétrospective, Mali, 2014
Забележки: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.
Определения:=>+2SD

Infants, 2011

Възраст:0-5
Количество на пробите:929
Референции:SMART: Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité Rétrospective, Mali 2011
Забележки: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.
Определения:=>+2SD

Infants, 2009-2010

Възраст:0-5
Количество на пробите:22963
Референции:MICS: Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011
Забележки: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.
Определения:=>+2SD

Момичета, 2006

Възраст:0-5
Количество на пробите:12370
Референции:DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007
Забележки: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.
Определения:=>+2SD

Infants, 2006

Възраст:0-5
Количество на пробите:12369
Референции:DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007
Забележки: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.
Определения:=>+2SD

Infants, 2001

Възраст:0-5
Количество на пробите:10507
Референции:DHS: Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002
Забележки: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.
Определения:=>+2SD

Infants, 1995-1996

Възраст:0-5
Количество на пробите:4777
Референции:DHS: Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996
Забележки: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.
Определения:=>+2SD

Infants, 1987

Възраст:0-5
Количество на пробите:1541
Референции:DHS: Enquête démographique et de santé au Mali, 1987. Demographic and Health Surveys. Bamako, Mali, 1989
Забележки: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.
Определения:=>+2SD

Наднормено тегло/затлъстяване по образование

Жени, 2012-2013

Тип анкета:Измерено
Възраст:15-49
Количество на пробите:4502
Обхваната зона:Национално
Референции:Cellule de Planification et de Statistique (CPS/SSDSPF), Institut National de la Statistique (INSTAT/MPATP), INFO-STAT et ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA : CPS, INSTAT, INFO-STAT et ICF International.
Забележки:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Infants, 2018

Количество на пробите:9881
Референции:DHS: Enquête Démographique et de Santé au Mali 2018. Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF
Забележки: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.
Определения:=>+2SD

Infants, 2015

Количество на пробите:15723
Референции:MICS: Enquête par Grappes à Indicateurs Multiples au Mali (MICS-Mali), 2015, Résultats clés. Bamako, Mali, INSTAT
Забележки: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.
Определения:=>+2SD

Infants, 2009-2010

Количество на пробите:22963
Референции:MICS: Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011
Забележки: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.
Определения:=>+2SD

Infants, 2006

Количество на пробите:12369
Референции:DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007
Забележки: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.
Определения:=>+2SD

Infants, 2001

Количество на пробите:10507
Референции:DHS: Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002
Забележки: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.
Определения:=>+2SD

Infants, 1995-1996

Количество на пробите:4777
Референции:DHS: Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996
Забележки: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.
Определения:=>+2SD

Infants, 1987

Количество на пробите:1541
Референции:DHS: Enquête démographique et de santé au Mali, 1987. Demographic and Health Surveys. Bamako, Mali, 1989
Забележки: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.
Определения:=>+2SD

?????????? ?????/???????????? ?? ???????

????, 1993

??? ??????:????????
?????????? ?? ???????:1146
????????? ????:??????????
??????????:Ferro-Luzzi A, National Institute for Food and Nutrition Research, Rome, Italy. Unpublished data reanalysed 2001
Cutoffs:IOTF

?????????? ?????/???????????? ?? ??????

Infants, 2021

?????????? ?? ???????:8005
??????????:SMART: Rapport Finale de l'Enquete Nutritionnelle Anthropometrique et de Mortality Retrospective 11e Edition au Mali
?????????: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.
???????????:=>+2SD

Infants, 2020

?????????? ?? ???????:8837
??????????:SMART: 10ème Enquête Nutritionnelle Anthropométrique et de Mortalité Rétrospective basée sur la méthodologie SMART au Mali (SMART-2020 Mali)
?????????: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.
???????????:=>+2SD

Infants, 2018

?????????? ?? ???????:9881
??????????:DHS: Enquête Démographique et de Santé au Mali 2018. Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF
?????????: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.
???????????:=>+2SD

Infants, 2015

?????????? ?? ???????:15723
??????????:MICS: Enquête par Grappes à Indicateurs Multiples au Mali (MICS-Mali), 2015, Résultats clés. Bamako, Mali, INSTAT
?????????: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.
???????????:=>+2SD

Infants, 2009-2010

?????????? ?? ???????:22963
??????????:MICS: Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011
?????????: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.
???????????:=>+2SD

Infants, 2006

?????????? ?? ???????:12369
??????????:DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007
?????????: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.
???????????:=>+2SD

Infants, 2001

?????????? ?? ???????:10507
??????????:DHS: Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002
?????????: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.
???????????:=>+2SD

Infants, 1995-1996

?????????? ?? ???????:4777
??????????:DHS: Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996
?????????: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.
???????????:=>+2SD

Infants, 1987

?????????? ?? ???????:1541
??????????:DHS: Enquête démographique et de santé au Mali, 1987. Demographic and Health Surveys. Bamako, Mali, 1989
?????????: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.
???????????:=>+2SD

?????????? ?????/???????????? ?? ????????-???????????? ?????

????, 2012-2013

??? ??????:????????
???????:15-49
?????????? ?? ???????:4502
????????? ????:??????????
??????????:Cellule de Planification et de Statistique - CPS/SSDSPF/Mali, Institut National de la Statistique - INSTAT/Mali, Centre d’Études et d’Information Statistiques - INFO-STAT/Mali and ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA: CPS, INSTAT, INFO-STAT and ICF International.
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

Infants, 2018

?????????? ?? ???????:9881
??????????:DHS: Enquête Démographique et de Santé au Mali 2018. Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF
?????????: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.
???????????:=>+2SD

Infants, 2015

?????????? ?? ???????:15723
??????????:MICS: Enquête par Grappes à Indicateurs Multiples au Mali (MICS-Mali), 2015, Résultats clés. Bamako, Mali, INSTAT
?????????: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.
???????????:=>+2SD

Infants, 2009-2010

?????????? ?? ???????:22963
??????????:MICS: Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011
?????????: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.
???????????:=>+2SD

Infants, 2006

?????????? ?? ???????:12369
??????????:DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007
?????????: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.
???????????:=>+2SD

Infants, 2001

?????????? ?? ???????:10507
??????????:DHS: Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002
?????????: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.
???????????:=>+2SD

Infants, 1995-1996

?????????? ?? ???????:4777
??????????:DHS: Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996
?????????: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.
???????????:=>+2SD

???????????? ????????? ?????????

?????????, 2016

??????????: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

????, 2016

??????????: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

????, 2016

??????????: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

Estimated per capita fruit intake

?????????, 2017

??? ??????:????????
???????:25+
??????????:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
???????????:Estimated per-capita fruit intake (g/day)

??????? ????? ?? ??????????? ???? ?? ????? ?? ???????????

?????????, 2017

??? ??????:????????
???????:25+
??????????:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
???????????:Estimated per-capita processed meat intake (g per day)

Estimated per capita whole grains intake

?????????, 2017

??? ??????:????????
???????:25+
??????????:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
???????????:Estimated per-capita whole grains intake (g/day)

???????? ?????? – ?????????? ????????????

?????????, 2015

??????????: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.
???????????:% of population with depression disorders

???????? ?????? – ???????? ????????????

?????????, 2015

??????????: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.
???????????:% of population with anxiety disorders

% ??????, ??????? ???????????? ? ????? 0-5 ??????

????, 2005-2020

????????? ????:??????????
??????????:Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité rétrospective suivant la méthodologie SMART, Mali 2019
?????????:See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021.
???????????:% exclusively breastfed 0-5 months

??? ?? ????????????

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

??? ?? ???????

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

???????????? ???

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

??? ?? ?????????

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

??? ?? ??????? ?????

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

??? ?? ?????????

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

??? ?? ???????

????, 2020

???????:20+
????????? ????:??????????
??????????: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 10.01.2235
???????????:Age-standardized indicence rates per 100 000

???????? ?????? ????????

?????????, 2015

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
???????????:Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

????, 2015

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
???????????:Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

????, 2015

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
???????????:Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

??????? ??????????

?????????, 2008

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
???????????:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).

????, 2008

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
???????????:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).

????, 2008

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
???????????:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).

???????? ?????? ????? ?? ??????

????, 2014

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
???????????:Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).

????, 2014

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
???????????:Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).

????????????? ?? ???????

?????????, 2021

???????:20-79
????????? ????:??????????
??????????:Reproduced with kind permission International Diabetes Federation.  IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org
???????????:Age-adjusted comparative prevalence of diabetes, %

?????????, 2019

???????:20-79
??????????:Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org
???????????:Diabetes age-adjusted comparative prevalence (%).

?????????, 2017

??????????:Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org
???????????:Diabetes age-adjusted comparative prevalence (%).

Economic impact of overweight and obesity

Country comparisons

You can choose to compare this country’s data with the data for up to four other countries.

Policies, Interventions and Actions

Politique Nationale de Nutrition

Comprehensive Nutrition strategy (including overweight/obesity) approved by the Ministry of Health and adopted from 2012. (Available only in French language)

Categories:Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Year(s):2012-2021
Target age group:Възрастни и деца
Organisation:Ministry of Health
Linked document:Download linked document
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/17771 (last accessed 05.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

GNPR 2016-17 (q7) Breastfeeeding promotion and/or counselling

WHO Global Nutrition Policy Review 2016-2017 reported the evidence of breastfeeding promotion and/or counselling (q7)

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Възрастни
Organisation:Ministry of Health (information provided by the GINA progam)
Find out more:extranet.who.int
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Marketing of Breast-Milk Substitutes: National Implementation of the International Code Status Report 2016 (Promotion of Breastfeeding)

The 2016 report provides information on the status of implementing the International Code of Marketing of Breast-milk Substitutes and subsequent relevant World Health Assembly resolutions (“the Code”) in and by countries. The report also identifies in which countries they actively promote the benefits of breastfeeding.

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Възрастни
Organisation:WHO UNICEF IBFAN
References:WHO. UNICEF. IBFAN. Marketing of Breast-milk Substitutes: National Implementation of the International Code. Status Report 2016. Geneva: World Health Organization; 2016

No actions could be found for the above criteria.

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?Absent
Tax on unhealthy foods?Absent
Tax on unhealthy drinks?Absent
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?Present
Comprehensive physical activity strategy?Absent
Evidence-based dietary guidelines and/or RDAs?Absent
National target(s) on reducing obesity?Absent
Guidelines/policy on obesity treatment?Absent
Promotion of breastfeeding?Present

Monitoring and surveillance

Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors?Absent
Within 5 years?Absent

Governance and resource

Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)?Unknown

Key

Present
Present (voluntary)
Incoming
Absent
Unknown

Last updated September 13, 2022

See more policies here

Download contextual factors as a PDF Contextual factors definitions

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