At the time of the study, Lorraine R. Reitzel was with and Seann D. Regan, Larkin L. Strong, David W. Wetter, and Lorna H. McNeill are with the Department of Health Disparities Research, The University of Texas MD Anderson Cancer Center, Houston. Nga Nguyen is with the Department of Biostatistics, The University of Texas MD Anderson Cancer Center. Ellen K. Cromley is with the Department of Community Medicine and Health Care, The University of Connecticut School of Medicine, Farmington.
Am J Public Health. 2014 Jan;104(1):110-6. doi: 10.2105/AJPH.2012.301140. Epub 2013 May 16.
The purpose of this study was to address current gaps in the literature by examining the associations of fast food restaurant (FFR) density around the home and FFR proximity to the home, respectively, with body mass index (BMI) among a large sample of African American adults from Houston, Texas.
We used generalized linear models with generalized estimating equations to examine associations of FFR density at 0.5-, 1-, 2-, and 5-mile road network buffers around the home with BMI and associations of the closest FFR to the home with BMI. All models were adjusted for a range of individual-level covariates and neighborhood socioeconomic status. We additionally investigated the moderating effects of household income on these relations. Data were collected from December 2008 to July 2009.
FFR density was not associated with BMI in the main analyses. However, FFR density at 0.5, 1, and 2 miles was positively associated with BMI among participants with lower incomes (P ≤ .025). Closer FFR proximity was associated with higher BMI among all participants (P < .001), with stronger associations emerging among those of lower income (P < .013) relative to higher income (P < .014).
Additional research with more diverse African American samples is needed, but results supported the potential for the fast food environment to affect BMI among African Americans, particularly among those of lower economic means.
本研究旨在通过分别考察家庭周围快餐店（FFR）密度和家庭附近 FFR 与得克萨斯州休斯顿的大量非裔美国成年人的体重指数（BMI）之间的关联，来弥补当前文献中的空白。
我们使用广义线性模型和广义估计方程来检验家庭周围 0.5、1、2 和 5 英里道路网络缓冲区中 FFR 密度与 BMI 的关联，以及家庭附近最近的 FFR 与 BMI 的关联。所有模型均调整了一系列个体水平的协变量和邻里社会经济地位。我们还研究了家庭收入对这些关系的调节作用。数据收集于 2008 年 12 月至 2009 年 7 月。
在主要分析中，FFR 密度与 BMI 无关。然而，在收入较低的参与者中，0.5、1 和 2 英里处的 FFR 密度与 BMI 呈正相关（P ≤.025）。所有参与者中，距离 FFR 越近，BMI 越高（P <.001），而收入较低者（P <.013）的关联比收入较高者（P <.014）更强。
需要对更多样化的非裔美国人群体进行进一步研究，但结果支持快餐环境可能会影响非裔美国人的 BMI，尤其是那些经济条件较差的人。
