Social Development Research Group, School of Social Work, University of Washington, 9725 3rd Ave NE, Suite 401, Seattle, WA, 98115, USA.
Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
J Urban Health. 2022 Dec;99(6):1080-1090. doi: 10.1007/s11524-022-00688-6. Epub 2022 Oct 12.
Few studies examining the effects of neighborhood exposures have accounted for longitudinal residential history. This study examined associations of body mass index (BMI, kg/m) with neighborhood-level walkability and poverty, both assessed concurrently and cumulatively in the years leading up to BMI assessment. Participants (N = 808) were from a cohort study of individuals originally recruited from public schools in Seattle, Washington, in fifth grade in 1985. Height and weight for BMI were obtained at four assessments at ages: 30 (in 2005), 33, 35, and 39. Participants also completed residential timelines listing each address where they lived from ages 28 to 39, creating a continuous record of addresses and moves. Neighborhood-level walkability and poverty were based on census block groups of each address. Generalized estimating equation models estimated associations of standardized neighborhood variables, both at point-in-time concurrently with assessment of BMI and cumulatively up to the time of BMI assessment. Mean BMI across observations was 28.8 (SD = 7.1). After adjusting for covariates, cumulative walkability was associated with lower BMI (b = - 0.28; 95% CI: - 0.55, - 0.02), and cumulative neighborhood poverty was associated with higher BMI (b = 0.35; 95% CI: 0.09, 0.60). When examining point-in-time concurrent walkability and poverty with BMI, adjusted associations were close to the null and non-significant. This study provides evidence for a significant role of cumulative exposure to neighborhood built and socioeconomic environments predicting BMI. It underscores the relative strength and importance of cumulative assessments to capture neighborhood exposure not captured through point-in-time assessments.
这项研究考察了身体质量指数(BMI,kg/m)与邻里步行能力和贫困之间的关联,这两个因素都是在 BMI 评估前的几年中同时进行的,并进行了累积评估。参与者(N=808)来自西雅图华盛顿州公立学校的一项队列研究,他们在 1985 年五年级时首次被招募。身高和体重用于 BMI 的测量是在四个年龄段进行的:30 岁(2005 年)、33 岁、35 岁和 39 岁。参与者还完成了居住时间线,列出了他们从 28 岁到 39 岁期间居住的每个地址,从而创建了一个地址和搬迁的连续记录。邻里步行能力和贫困是基于每个地址的普查块组。广义估计方程模型估计了标准化邻里变量的关联,这些变量既在与 BMI 评估同时的时间点上,也在 BMI 评估之前的时间内进行了累积评估。在观察过程中,平均 BMI 为 28.8(SD=7.1)。在调整了协变量后,累积步行能力与较低的 BMI 相关(b=-0.28;95%CI:-0.55,-0.02),而累积邻里贫困与较高的 BMI 相关(b=0.35;95%CI:0.09,0.60)。当用 BMI 同时检查时间点的步行能力和贫困时,调整后的关联接近零且无统计学意义。这项研究为邻里建筑和社会经济环境的累积暴露对 BMI 的预测作用提供了证据。它强调了累积评估在捕捉未通过时间点评估捕捉到的邻里暴露方面的相对强度和重要性。