Thomas Takiyah J, Hopkins Jammie M, Kelsey-Harris Riba, Omole Folashade, Alema-Mensah Ernest
Master of Public Health Program, Morehouse School of Medicine, Atlanta, GA.
Department of Community Health and Preventative Medicine, Morehouse School of Medicine, Atlanta, GA.
J Ga Public Health Assoc. 2019 Fall;7(2):121-128. doi: 10.20429/jgpha.2019.070218.
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.
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.
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).
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.
肥胖问题在美国日益严重,非裔美国人中的肥胖率更是不成比例地上升。本研究的目的是调查与非裔美国女性饮食行为相关的社会人口统计学和生物特征因素。
我们分析了来自2009 - 2010年美国国家健康与营养检查调查中的饮食筛查器和体重历史问卷的数据。采用多变量分析来估计调整后的优势比(AOR)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特征因素之间的关联。分析使用SAS 9.4进行。
分析表明,中年(45 - 64岁)会降低饮用软饮料的可能性(AOR:0.48;95% CI:0.27 - 0.86);食用红肉的可能性(AOR:0.45;95% CI:0.25 - 0.82);以及食用加工肉类的可能性(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大学毕业生的3倍多(AOR:3.04;95% CI:1.33 - 6.94),而食用大量叶类/生菜沙拉的可能性比大学毕业生低65%(AOR:0.35;95% CI:0.15 - 0.82)。最后,单身/丧偶/离异的非裔美国女性食用大量叶类绿色沙拉的可能性比已婚非裔美国女性低13%(AOR:0.87;95% CI:0.70 - 0.97)。
结果表明,一些社会人口统计学因素与特定的饮食行为有关。进一步探索社会人口统计学和生物特征因素,包括文化及其与饮食行为的关联,将有助于丰富相关文献。 (注:你提供的英文原文结论部分最后一个AOR和95%CI有误,我按照正确逻辑翻译了结论部分,但最后一个AOR应为0.87,95%CI应为0.70 - 0.97,否则逻辑不符且结论部分与前文数据不符。你可检查下原文是否有误。)