居住密度与儿童和青少年的体重指数轨迹有关:M2H 研究结果

Paula Maria Lozano MD, MPH , Jennifer F. Bobb PhD , Flavia P. Kapos DDS, PhD , Maricela Cruz PhD , Stephen J. Mooney PhD , Philip M. Hurvitz PhD , Jane Anau BS , Mary Kay Theis MS , Andrea Cook PhD , Anne Vernez Moudon Dr es Sc , David E. Arterburn MD, MPH , Adam Drewnowski PhD
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引用次数: 0

摘要

方法这项回顾性队列研究利用了 2005 年至 2017 年期间居住在华盛顿州金县的 5-18 岁人群的电子健康记录。使用智能地图(SmartMaps)测量了住宅密度、超市、快餐店和公园数量以及公园面积等建筑环境特征,缓冲区长达 1,600 米。2022 年建立的线性混合效应模型检验了基线时的建筑环境变量是否与各年龄组(5、9 和 13 岁)的 BMI 变化相关,并对性别、年龄、种族/民族、医疗补助、BMI 和住宅物业价值(SES 指标)进行了调整。结果在 3 年的随访中,住宅密度越高,所有年龄组中女孩的 BMI 增幅越低,5 和 13 岁年龄组中男孩的 BMI 增幅越低,但 9 岁年龄组中男孩的 BMI 增幅不高。对于 5 岁年龄组的男孩和 9 岁年龄组的女孩来说,快餐的存在与较高的体重指数增长有关。结论居住密度越高,儿童和青少年的体重指数增长越低。结论较高的居住密度与较低的儿童和青少年体重指数增长有关,影响较小,但可能会在一生中不断累积。建筑环境因素对儿童和青少年 3 年 BMI 轨迹的独立影响有限。
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Residential Density Is Associated With BMI Trajectories in Children and Adolescents: Findings From the Moving to Health Study

Introduction

This study investigates the associations between built environment features and 3-year BMI trajectories in children and adolescents.

Methods

This retrospective cohort study utilized electronic health records of individuals aged 5–18 years living in King County, Washington, from 2005 to 2017. Built environment features such as residential density; counts of supermarkets, fast-food restaurants, and parks; and park area were measured using SmartMaps at 1,600-meter buffers. Linear mixed-effects models performed in 2022 tested whether built environment variables at baseline were associated with BMI change within age cohorts (5, 9, and 13 years), adjusting for sex, age, race/ethnicity, Medicaid, BMI, and residential property values (SES measure).

Results

At 3-year follow-up, higher residential density was associated with lower BMI increase for girls across all age cohorts and for boys in age cohorts of 5 and 13 years but not for the age cohort of 9 years. Presence of fast food was associated with higher BMI increase for boys in the age cohort of 5 years and for girls in the age cohort of 9 years. There were no significant associations between BMI change and counts of parks, and park area was only significantly associated with BMI change among boys in the age cohort of 5 years.

Conclusions

Higher residential density was associated with lower BMI increase in children and adolescents. The effect was small but may accumulate over the life course. Built environment factors have limited independent impact on 3-year BMI trajectories in children and adolescents.

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AJPM focus
AJPM focus Health, Public Health and Health Policy
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