Department of Sociology, Georgia State University, Atlanta, GA 30303, USA.
Health Place. 2010 Mar;16(2):191-8. doi: 10.1016/j.healthplace.2009.09.009. Epub 2009 Sep 26.
Racial disparities in obesity among women in the United States are substantial but the causes of these disparities are poorly understood. We examined changes in body mass index (BMI) trajectories for Black and White women as a function of neighborhood disadvantage and racial composition of the neighborhoods within which respondents are clustered. Using four waves of the Americans' Changing Lives (ACL) survey, we estimated multilevel models predicting BMI trajectories over a 16-year period. Even after controlling for individual-level socio-demographics, risk and protective factors, and baseline neighborhood disadvantage and racial composition, substantial racial disparities in BMI persisted at each time point, and widened over time (p < 0.05). Baseline neighborhood disadvantage is associated with BMI and marginally reduces racial disparities in BMI, but it does not predict BMI changes over time. However, without neighborhood-level variables, the BMI trajectory model is misspecified, highlighting the importance of including community factors in future research.
美国女性的肥胖存在明显的种族差异,但这些差异的原因还不是很清楚。我们研究了身体质量指数(BMI)轨迹的变化,将其作为衡量受访者所居住的社区的劣势和种族组成的函数。我们使用美国人生活变化(ACL)调查的四个波次的数据,估计了多水平模型,预测了 16 年期间 BMI 轨迹的变化。即使在控制了个体水平的社会人口统计学、风险和保护因素以及基线社区劣势和种族组成后,BMI 方面仍存在着相当大的种族差异,而且随着时间的推移差距还在扩大(p<0.05)。基线社区劣势与 BMI 相关,并且在一定程度上减少了 BMI 方面的种族差异,但它并不能预测 BMI 随时间的变化。然而,如果没有社区层面的变量,BMI 轨迹模型的设定就会有偏差,这突出了在未来的研究中纳入社区因素的重要性。