Income Inequality and Obesity among US Adults 1999-2016: Does Sex Matter?

被引:14
|
作者
Zare, Hossein [1 ,2 ]
Gaskin, Danielle D. [3 ]
Thorpe, Roland J., Jr. [4 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Hlth Policy & Management, Baltimore, MD 21205 USA
[2] Univ Maryland Global Campus UMGC, Global Hlth Serv & Adm, 624 N Broadway,Hampton House 337, Baltimore, MD 21205 USA
[3] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Populat Family & Reprod Hlth, Baltimore, MD 21205 USA
[4] Johns Hopkins Bloomberg Sch Publ Hlth, Hopkins Ctr Hlth Dispar Solut, Program Res Mens Hlth, Baltimore, MD 21205 USA
关键词
income inequality; obesity; Gini coefficient; PUBLIC-HEALTH CONCERN; SELF-RATED HEALTH; UNITED-STATES; SOCIOECONOMIC INEQUALITY; DISPARITIES; ASSOCIATION; MULTILEVEL; MORTALITY; EDUCATION; EXPOSURE;
D O I
10.3390/ijerph18137079
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Obesity is a major public health problem that varies by income and sex, yet there is little evidence to determine the association between income inequality and obesity. We examined the association between income and obesity in adults ages 20 years and older and tested whether this relationship differs by sex in the United States. We used the 1999-2016 National Health and Nutrition Examination Survey (NHANES). We defined obesity if the body mass index was >= 30 kg/m(2), and calculated the Gini coefficient (GC) to measure income inequality by using the Poverty Income Ratio. We examined the association between income and obesity using a Modified Poisson regression in a sample of 36,665 adults. We adjusted the models according to age, racial/ethnic groups, marital status, education, health behaviors, health insurance, self-reported health, and household structure. The association between income and obesity was consistently more significant among middle-income quintile and higher-income quintile men than among lower-income quintile men. The same association was not found for women; women in the highest income quintile were less likely to suffer from obesity than among lower-income quintile women. Our results suggest that policymakers should consider strategies to reduce structural inequality and encourage access to healthy foods and community-supported agricultural programs as nutritional interventions in low-income population settings.
引用
收藏
页数:13
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