Egypt
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Health systems
- Policies
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National obesity risk *7.5/10This 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.Childhood obesity risk *9.5/11This 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).
* Based on estimated data. For more information see Publications
Obesity prevalence
Trends over time
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The report card collates 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.Population breakdowns
Drivers
Insufficient activity
Soft drink consumption
Fruit consumption
Vegetable consumption
Fast food consumption
Processed meat consumption
Grains consumption
Depression
Anxiety
Roots of obesity »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Breastfeeding
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Comorbidities
Health systems
Policies
Obesity prevalence
Adults, 2016-2017
| Survey type: | Measured |
| Age: | 15-69 |
| Sample size: | 6680 |
| Area covered: | National |
| References: | Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 |
| Notes: | STEPS |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2015
| Survey type: | Measured |
| Age: | 15-59 |
| Sample size: | 15602 |
| Area covered: | National |
| References: | DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf |
| Notes: | 8379 Female7223 Male Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 19021 |
| Area covered: | National |
| References: | Demographic Health Survey 2014 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2011-2012
| Survey type: | Measured |
| Age: | 15-65 |
| Sample size: | 5300 |
| Area covered: | National |
| References: | WHO EMRO Egypt STEPS Survey 2011-12 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2008
| Survey type: | Measured |
| Sample size: | 11258 |
| Area covered: | National |
| References: | Demographic Health Survey 2008 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2005
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 17169 |
| Area covered: | National |
| References: | El-Zanaty, Fatma and Ann Way. 2006. Egypt Demographic and Health Survey 2005. Cairo, Egypt: Ministry of Health and Population, National Population Council, El-Zanaty and Associates, and ORC Macro. |
| Notes: | Other married women 15 - 49 years. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2000
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 6751 |
| References: | SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 1992
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 4855 |
| References: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2018-2020
| Survey type: | Measured |
| Age: | 6-11 |
| Sample size: | 33150 |
| Area covered: | National |
| References: | El-Shafie AM, Kasemy ZA, Omar ZA, et al. Prevalence of short stature and malnutrition among Egyptian primary school children and their coexistence with Anemia. Italian Journal of Pediatrics. 2020 Jun;46(1):91. DOI: 10.1186/s13052-020-00855-y. |
| Notes: | Boys = 17,143, Girls = 16,007 |
| Cutoffs: | WHO 2007 |
Children, 2014
| Survey type: | Measured |
| Age: | 5-9 |
| Sample size: | 32990 |
| Area covered: | National |
| References: | Demographic Health Survey 2014 |
| Notes: | 15825 Girls17165 Boys Other age groups available see Age Map |
| Cutoffs: | IOTF |
Children, 2011
| Survey type: | Self-reported |
| Age: | 13-15 |
| Sample size: | 2568 |
| Area covered: | National |
| References: | Global School-based Student Health Survey, Fact Sheet available at https://www.who.int/ncds/surveillance/gshs/Egypt_GSHS_FS_2011.pdf?ua=1 (last accessed 25.11.20) |
| Cutoffs: | WHO |
Children, 2006
| Survey type: | Self-reported |
| Age: | 13-15 |
| Sample size: | 5249 |
| Area covered: | National |
| References: | Global School-based Student Health Survey, Fact Sheet available at https://www.who.int/ncds/surveillance/gshs/2006EGH_Fact_Sheet.pdf?ua=1 (last accessed 25.11.20) |
| Cutoffs: | WHO |
Children, 2005
| Survey type: | Measured |
| Age: | 10-17 |
| Sample size: | 9043 |
| References: | Macro 2005 DHS survey |
| Notes: | Child cut-off point: 85/95th centile. See paper for further cut-off details |
| Cutoffs: | WHO |
% Adults living with obesity, 2011-2017
Men
| Survey type: | Measured |
| References: | 2011: WHO EMRO Egypt STEPS Survey 2011-12
2015: DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf 2016: Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Women
| Survey type: | Measured |
| References: | 2011: WHO EMRO Egypt STEPS Survey 2011-12
2015: DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf 2016: Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with obesity, 1992-2014
| Survey type: | Measured |
| References: | 1992: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2005: El-Zanaty, Fatma and Ann Way. 2006. Egypt Demographic and Health Survey 2005. Cairo, Egypt: Ministry of Health and Population, National Population Council, El-Zanaty and Associates, and ORC Macro. 2008: Demographic Health Survey 2008 2014: Demographic Health Survey 2014 |
| Notes: | Adults aged 15-49 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with overweight or obesity, 2011-2017
Men
| Survey type: | Measured |
| References: | 2011: WHO EMRO Egypt STEPS Survey 2011-12
2015: DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf 2016: Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Women
| Survey type: | Measured |
| References: | 2011: WHO EMRO Egypt STEPS Survey 2011-12
2015: DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf 2016: Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with overweight or obesity, 1992-2014
| Survey type: | Measured |
| References: | 1992: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2005: El-Zanaty, Fatma and Ann Way. 2006. Egypt Demographic and Health Survey 2005. Cairo, Egypt: Ministry of Health and Population, National Population Council, El-Zanaty and Associates, and ORC Macro. 2008: Demographic Health Survey 2008 2014: Demographic Health Survey 2014 |
| Notes: | Adults aged 15-49 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with obesity, selected countries, 1984-2018
Women
| References: | 1984, 1998: Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 1991: Al-Lawati JA, Jousilahti PJ. Prevalence and 10year secular trend of obesity in Oman. Saudi Med J 2004;25:346-351 1997: Sibai AM, Hwalla N, Adra N, Rahal B. Prevalence and Covariates of Obesity in Lebanon: Findings from the First Epidemiolgical Study. Obesity Research 203;11:1353-1361 2000: Al-Lawati JA and Jousilahti PJ. (2004). Prevalence and 10 year secular trend of obesity in Oman. Saudi Medical Journal 25: 346 - 351. 2002: WHO Infobase, Macro international data 2007: Jordan Population and Family Health Survey 2007 2008: Riyami AA, Elaty MAA, Morsi M et al Oman World Health Survey: Part 1 - Methodology, Sociodemographic Profile and Epidemiology of Non-Communicable Diseases in Oman. Oman Medical Journal 2012; 27(5):425-443 2009: WHO STEPS Report 2009 Lebanon 2011: WHO EMRO Egypt STEPS Survey 2011-12 2012: DHS Jordan 2012 2015: DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf 2016: Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 2017: Executive Summary. Oman National Non-Communicable Disease & their Risk Factors Survey 2017 https://mohcsr.gov.om/wp-content/uploads/2019/01/Executive-Summary_NCDsurvey2017_En.pdf (last accessed 17.10.19) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Men
| References: | 1984, 1998: Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 1991: Al-Lawati JA, Jousilahti PJ. Prevalence and 10year secular trend of obesity in Oman. Saudi Med J 2004;25:346-351 1997: Sibai AM, Hwalla N, Adra N, Rahal B. Prevalence and Covariates of Obesity in Lebanon: Findings from the First Epidemiolgical Study. Obesity Research 203;11:1353-1361 2000: Al-Lawati JA and Jousilahti PJ. (2004). Prevalence and 10 year secular trend of obesity in Oman. Saudi Medical Journal 25: 346 - 351. 2002: WHO Infobase, Macro international data 2007: Jordan Population and Family Health Survey 2007 2008: Riyami AA, Elaty MAA, Morsi M et al Oman World Health Survey: Part 1 - Methodology, Sociodemographic Profile and Epidemiology of Non-Communicable Diseases in Oman. Oman Medical Journal 2012; 27(5):425-443 2009: WHO STEPS Report 2009 Lebanon 2011: WHO EMRO Egypt STEPS Survey 2011-12 2012: DHS Jordan 2012 2015: DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf 2016: Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 2017: Executive Summary. Oman National Non-Communicable Disease & their Risk Factors Survey 2017 https://mohcsr.gov.om/wp-content/uploads/2019/01/Executive-Summary_NCDsurvey2017_En.pdf (last accessed 17.10.19) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Overweight/obesity by education
Men, 2015
| Survey type: | Measured |
| Age: | 15-59 |
| Sample size: | 15602 |
| Area covered: | National |
| References: | DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2015
| Survey type: | Measured |
| Age: | 15-59 |
| Sample size: | 15602 |
| Area covered: | National |
| References: | DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 19021 |
| Area covered: | National |
| References: | Demographic Health Surveys 2014 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Boys, 2014
| Survey type: | Measured |
| Age: | 5-19 |
| Sample size: | 15825 Girls 17165 Boys |
| Area covered: | National |
| References: | Demographic Health Survey Egypt 2014 |
| Notes: | WHO Cut off used Based on Mothers education level |
| Cutoffs: | WHO |
Girls, 2014
| Survey type: | Measured |
| Age: | 5-19 |
| Sample size: | 15825 Girls 17165 Boys |
| Area covered: | National |
| References: | Demographic Health Survey Egypt 2014 |
| Notes: | WHO Cut off used Based on Mothers education level |
| Cutoffs: | WHO |
Boys, 2014
| Survey type: | Measured |
| Age: | 5-19 |
| Sample size: | 15825 Girls 17165 Boys |
| Area covered: | National |
| References: | Demographic Health Survey Egypt 2014 |
| Notes: | WHO Cut off used Based on Mothers education level |
| Cutoffs: | WHO |
Girls, 2014
| Survey type: | Measured |
| Age: | 5-19 |
| Sample size: | 15825 Girls 17165 Boys |
| Area covered: | National |
| References: | Demographic Health Survey Egypt 2014 |
| Notes: | WHO Cut off used Based on Mothers education level |
| Cutoffs: | WHO |
Overweight/obesity by age
Women, 2014
| Survey type: | Measured |
| Sample size: | 19021 |
| Area covered: | National |
| References: | Demographic Health Surveys 2014 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2018-2020
| Survey type: | Measured |
| Sample size: | 33,150 |
| Area covered: | National |
| References: | El Shafie, A.M., Kasemy, Z.A., Alkalash, S.H., Hewedy, S.M., Kotb, N.M., Abd El-Hady, H.S., Eladawy, E.S., Zeid, M.A., Abd El Hamid, M.E., Hemeda, E.H. and Elshafie, M.A., 2020. Prevalence of Short Stature and Malnutrition among Egyptian Primary School Children and their Coexistence with Anemia. |
| Notes: | Boys = 17,143, Girls = 16,007 |
| Cutoffs: | WHO 2007 |
Children, 2014
| Survey type: | Measured |
| Sample size: | 32990 |
| Area covered: | National |
| References: | Demographic Health Survey Egypt 2014 |
| Notes: | 15825 Girls17165 Boys WHO Cut off used |
| Cutoffs: | WHO |
Overweight/obesity by region
Men, 2015
| Survey type: | Measured |
| Age: | 15-59 |
| Sample size: | 15602 |
| Area covered: | National |
| References: | DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2015
| Survey type: | Measured |
| Age: | 15-59 |
| Sample size: | 15602 |
| Area covered: | National |
| References: | DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 19021 |
| Area covered: | National |
| References: | Demographic Health Surveys 2014 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 19021 |
| Area covered: | National |
| References: | Demographic Health Surveys 2014 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2018-2020
| Survey type: | Measured |
| Age: | 6-11 |
| Sample size: | 33,150 |
| Area covered: | National |
| References: | El Shafie, A.M., Kasemy, Z.A., Alkalash, S.H., Hewedy, S.M., Kotb, N.M., Abd El-Hady, H.S., Eladawy, E.S., Zeid, M.A., Abd El Hamid, M.E., Hemeda, E.H. and Elshafie, M.A., 2020. Prevalence of Short Stature and Malnutrition among Egyptian Primary School Children and their Coexistence with Anemia. |
| Notes: | Boys = 17,143, Girls = 16,007 |
| Cutoffs: | WHO 2007 |
Boys, 2014
| Survey type: | Measured |
| Age: | 5-19 |
| Sample size: | 15825 Girls 17165 Boys |
| Area covered: | National |
| References: | Demographic Health Survey Egypt 2014 |
| Notes: | WHO Cut off used |
| Cutoffs: | WHO |
Girls, 2014
| Survey type: | Measured |
| Age: | 5-19 |
| Sample size: | 15825 Girls 17165 Boys |
| Area covered: | National |
| References: | Demographic Health Survey Egypt 2014 |
| Notes: | WHO Cut off used |
| Cutoffs: | WHO |
Overweight/obesity by socio-economic group
Men, 2015
| Survey type: | Measured |
| Age: | 15-59 |
| Sample size: | 15602 |
| Area covered: | National |
| References: | DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2015
| Survey type: | Measured |
| Age: | 15-59 |
| Sample size: | 15602 |
| Area covered: | National |
| References: | DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 19021 |
| Area covered: | National |
| References: | Demographic Health Surveys 2014 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2018-2020
| Survey type: | Measured |
| Age: | 6-11 |
| Sample size: | 33,150 |
| Area covered: | National |
| References: | El Shafie, A.M., Kasemy, Z.A., Alkalash, S.H., Hewedy, S.M., Kotb, N.M., Abd El-Hady, H.S., Eladawy, E.S., Zeid, M.A., Abd El Hamid, M.E., Hemeda, E.H. and Elshafie, M.A., 2020. Prevalence of Short Stature and Malnutrition among Egyptian Primary School Children and their Coexistence with Anemia. |
| Notes: | Boys = 17,143, Girls = 16,007 |
| Cutoffs: | WHO 2007 |
Insufficient physical activity
Adults, 2016
| References: | 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 |
Men, 2016
| References: | 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 |
Women, 2016
| References: | 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 |
Children, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Children, 2010
| Age: | 11-17 |
| References: | 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2010
| Age: | 11-17 |
| References: | 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2010
| Age: | 11-17 |
| References: | 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Average daily frequency of carbonated soft drink consumption
Children, 2009-2015
| Survey type: | Measured |
| Age: | 12-17 |
| References: | 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
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita fruit intake (g/day) |
Prevalence of less than daily fruit consumption
Children, 2008-2015
| Survey type: | Measured |
| Age: | 12-17 |
| References: | 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 |
| Definitions: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalence of less than daily vegetable consumption
Children, 2008-2015
| Survey type: | Measured |
| Age: | 12-17 |
| References: | 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 |
| Definitions: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Average weekly frequency of fast food consumption
Children, 2009-2015
| Age: | 12-17 |
| References: | 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 processed meat intake
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita whole grains intake (g/day) |
Mental health - depression disorders
Adults, 2015
| References: | 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. |
| Definitions: | % of population with depression disorders |
Mental health - anxiety disorders
Adults, 2015
| References: | 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. |
| Definitions: | % of population with anxiety disorders |
% Infants exclusively breastfed 0-5 months
Children, 2010-2019
| Area covered: | National |
| References: | Egypt demographic and health survey 2014. Demographic and Health Surveys. Cairo, Egypt and Rockville, Maryland, USA: Ministry of Health and Population and ICF International, 2015. |
| Notes: | 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. |
| Definitions: | % exclusively breastfed 0-5 months |
Oesophageal cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per 100,000 |
Breast cancer
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, breast, females, ages 20+. ASR (World) per 100,000 |
Colorectal cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per 100,000 |
Pancreatic cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per 100,000 |
Gallbladder cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per 100,000 |
Kidney cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000 |
Cancer of the uterus
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, cervix uteri, females, ages 20+. ASR (World) per 100,000 |
Raised blood pressure
Adults, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Men, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Women, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Raised cholesterol
Adults, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Men, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Women, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Raised fasting blood glucose
Men, 2014
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definitions: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Women, 2014
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definitions: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetes prevalence
Adults, 2019
| Age: | 20-79 |
| References: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definitions: | Diabetes age-adjusted comparative prevalence (%). |
Adults, 2017
| References: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definitions: | Diabetes age-adjusted comparative prevalence (%). |
Health systems
Economic classification: Lower Middle Income
Health systems summary
The Egyptian health system is currently undergoing reformation, exemplified by the introduction of a new, comprehensive insurance scheme that is being implemented in phases. This state insurance scheme is primarily funded by employer and employee payments, with additional payments for dependents (non-working spouses & children). As this new system is intended to provide social solidarity, coverage is also available for those who are on a low-income and/or unemployed at the expense of the government. It is hoped that this new arrangement will reduce personal spending on healthcare in a country that has had unreasonably high out-of-pocket payments in recent years.
Indicators
| Where is the country’s government in the journey towards defining ‘Obesity as a disease’? | No |
| Where is the country’s healthcare provider in the journey towards defining ‘Obesity as a disease’? | No |
| Is there specialist training available dedicated to the training of health professionals to prevent, diagnose, treat and manage obesity? | No |
| Have any taxes or subsidies been put in place to protect/assist/inform the population around obesity? | No |
| Are there adequate numbers of trained health professionals in specialties relevant to obesity in urban areas? | Not known |
| Are there adequate numbers of trained health professionals in specialties relevant to obesity in rural areas? | No |
| Are there any obesity-specific recommendations or guidelines published for adults? | No |
| Are there any obesity-specific recommendations or guidelines published for children? | No |
| In practice, how is obesity treatment largely funded? | Out of pocket |
Summary of stakeholder feedback
In Egypt, obesity is not considered to be a disease, just a risk factor for other diseases. Stigma is extremely prevalent in Egyptian society and this plays a major role in determining likelihood of seeking treatment. In urban areas, patients may seek support as they are stigmatised for living with obesity, but this situation is reversed in some rural areas where females particularly can be stigmatised for being too slim.
Generally, there is very little support for individuals living with obesity in Egypt unless you are living with severe obesity. Even then, many struggle to find support outside of the private healthcare system. These limited treatment options are amplified by the lack of coverage by insurers. As a result, treatment is usually paid for out of pocket and is a luxury that only the wealthy can afford.
It is reported, however, that availability of treatment is better for children and adolescents. There is the greatest support for children under 5 years old as there is a desire to rule out and avoid endocrinological complications. Support reduces with increasing age until aged 18 after which treatment is generally unavailable.
Stakeholders reported that there is limited obesity training available in Egypt. What is available is limited to nutritionists and bariatric surgeons. There appears not to be one set of guidelines that is universally followed in Egypt.
Based on interviews/survey returns from 4 stakeholders
Last updated: June 2020
