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Are neighborhood education levels associated with BMI among adults in Cairo, Egypt?

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  • Mowafi, Mona
  • Khadr, Zeinab
  • Subramanian, S.V.
  • Bennett, Gary
  • Hill, Allan
  • Kawachi, Ichiro

Abstract

This study examined the association between area-level education and BMI among adults in Cairo, Egypt. A sample of 3993 households including 1990 men and 2003 women were analyzed from the 2007 Cairo Urban Inequity Study, a study which aimed to identify potential intra-urban inequities in health related to the environment and living conditions in Cairo. Using multilevel analysis, we found that residents of high education neighborhoods were significantly less likely to be obese compared to low education neighborhoods. An inverse association between neighborhood education and individual BMI was observed whereby each unit increase in percentage of households with greater than a high school education was associated with a 0.036Â kg/m2 decrease in BMI of individuals. This translated into a difference between high and low education neighborhoods of 6.86Â kg (15.1Â lb) for women based on an average height of 1.65Â m and 6.10Â kg (13.4Â lb) for men based on an average height of 1.75Â m after adjusting for sociodemographic, socioeconomic, health and environmental factors. These findings suggest that programs aiming to reduce BMI among adults in this setting may be well-served by focusing on education since it appears to have an effect at the neighborhood level over and above the impact it has at the individual level. This may be due to several factors such as greater access to knowledge and information regarding health and nutrition, greater food availability, and shifting cultural perceptions of beauty away from an ideal body shape of plumpness in favor of thinness in high education neighborhoods. The cross-sectional nature of our study does not allow for causal interpretations, however, so further studies exploring why the neighborhood education-BMI association is so significant is warranted.

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  • Mowafi, Mona & Khadr, Zeinab & Subramanian, S.V. & Bennett, Gary & Hill, Allan & Kawachi, Ichiro, 2011. "Are neighborhood education levels associated with BMI among adults in Cairo, Egypt?," Social Science & Medicine, Elsevier, vol. 72(8), pages 1274-1283, April.
  • Handle: RePEc:eee:socmed:v:72:y:2011:i:8:p:1274-1283
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    References listed on IDEAS

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    1. Robert, Stephanie A. & Reither, Eric N., 2004. "A multilevel analysis of race, community disadvantage, and body mass index among adults in the US," Social Science & Medicine, Elsevier, vol. 59(12), pages 2421-2434, December.
    2. Asfaw, Abay, 2007. "Micronutrient deficiency and the prevalence of mothers' overweight/obesity in Egypt," Economics & Human Biology, Elsevier, vol. 5(3), pages 471-483, December.
    3. Chen, Zhuo & Meltzer, David, 2008. "Beefing up with the Chans: Evidence for the effects of relative income and income inequality on health from the China Health and Nutrition Survey," Social Science & Medicine, Elsevier, vol. 66(11), pages 2206-2217, June.
    4. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    5. Poortinga, Wouter, 2006. "Perceptions of the environment, physical activity, and obesity," Social Science & Medicine, Elsevier, vol. 63(11), pages 2835-2846, December.
    6. Ackerson, Leland K. & Kawachi, Ichiro & Barbeau, Elizabeth M. & Subramanian, S.V., 2008. "Geography of underweight and overweight among women in India: A multilevel analysis of 3204 neighborhoods in 26 states," Economics & Human Biology, Elsevier, vol. 6(2), pages 264-280, July.
    7. Matheson, Flora I. & Moineddin, Rahim & Glazier, Richard H., 2008. "The weight of place: A multilevel analysis of gender, neighborhood material deprivation, and body mass index among Canadian adults," Social Science & Medicine, Elsevier, vol. 66(3), pages 675-690, February.
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    1. Antonio Boing & S. Subramanian, 2015. "The influence of area-level education on body mass index, waist circumference and obesity according to gender," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(6), pages 727-736, September.

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