Sociodemographic and Biometric Factors Associated With Eating Behaviors Among African American Women Aged 18-74.

Takiyah J Thomas, Jammie M Hopkins, Riba Kelsey-Harris, Folashade Omole, Ernest Alema-Mensah
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Abstract

Background: Obesity is a growing problem in the United States and is disproportionately increasing among African Americans. The objective of this study is to examine the sociodemographic and biometric factors associated with eating behaviors among African American women.

Methods: We analyzed data from the 2009-2010 dietary screener and weight history questionnaire from the National Health and Nutrition Examination Survey. Multivariable analyses were used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (95% CIs) to determine the association between six specific eating behaviors and different sociodemographic and biometric factors. Analyses were conducted using SAS 9.4.

Results: The analyses show that being middle aged (45-64) decreased the likelihood of consuming soft drinks (AOR: 0.48; 95% CI: 0.27-0.86); consuming red meat (AOR: 0.45; 95% CI: 0.25-0.82); and consuming processed meat (AOR: 0.55; 95% CI: 0.31-0.97). In addition, high school grads were over 3 times as likely to consume high amounts of soft drinks (AOR: 3.04; 95% CI: 1.33-6.94) and 65% less likely to consume high amounts of leafy/lettuce salads than college grads (AOR: 0.35; 95% CI: 0.15-0.82). Finally, single/widowed/divorced African American women were 13% less likely to eat high amounts of leafy green salads than married African American women (AOR: 0.82; 95% CI: 0.70-0.97).

Conclusions: The results indicate that some sociodemographic factors have an association with certain eating behaviors. Further exploration of sociodemographic and biometric factors, with the inclusion of culture and its association with eating behaviors will help to expand the literature.

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与18-74岁非裔美国女性饮食行为相关的社会人口统计学和生物统计学因素。
背景:肥胖在美国是一个日益严重的问题,并且在非裔美国人中不成比例地增加。本研究的目的是研究与非裔美国妇女饮食行为相关的社会人口统计学和生物统计学因素。方法:分析2009-2010年膳食筛查和全国健康与营养调查体重史问卷的数据。采用多变量分析估计校正优势比(AORs)和95%置信区间(95% ci),以确定六种特定饮食行为与不同社会人口统计学和生物统计学因素之间的关联。采用SAS 9.4进行分析。结果:分析表明,中年(45-64岁)降低了饮用软饮料的可能性(AOR: 0.48;95% ci: 0.27-0.86);食用红肉(AOR: 0.45);95% ci: 0.25-0.82);食用加工肉类(AOR: 0.55;95% ci: 0.31-0.97)。此外,高中毕业生饮用大量软饮料的可能性是普通毕业生的3倍多(AOR: 3.04;95% CI: 1.33-6.94), 65%的人比大学毕业生少吃大量的绿叶/生菜沙拉(AOR: 0.35;95% ci: 0.15-0.82)。最后,单身/丧偶/离婚的非裔美国女性比已婚的非裔美国女性少13%吃大量的绿叶沙拉(AOR: 0.82;95% ci: 0.70-0.97)。结论:研究结果表明,某些社会人口因素与某些饮食行为有关。进一步探索社会人口和生物特征因素,包括文化及其与饮食行为的关系,将有助于扩大文献。
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