Lozano Paula Maria, Bobb Jennifer F, Kapos Flavia P, Cruz Maricela, Mooney Stephen J, Hurvitz Philip M, Anau Jane, Theis Mary Kay, Cook Andrea, Moudon Anne Vernez, Arterburn David E, Drewnowski Adam
Kaiser Permanente Washington Health Research Institute, Seattle, Washington.
Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington.
AJPM Focus. 2024 Mar 15;3(3):100225. doi: 10.1016/j.focus.2024.100225. eCollection 2024 Jun.
This study investigates the associations between built environment features and 3-year BMI trajectories in children and adolescents.
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).
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.
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.
本研究调查了建成环境特征与儿童及青少年3年体重指数(BMI)轨迹之间的关联。
这项回顾性队列研究利用了2005年至2017年居住在华盛顿州金县的5至18岁个体的电子健康记录。建成环境特征,如居住密度、超市、快餐店和公园的数量以及公园面积,使用智能地图在1600米缓冲区内进行测量。2022年进行的线性混合效应模型测试了基线时的建成环境变量是否与年龄组(5岁、9岁和13岁)内的BMI变化相关,并对性别、年龄、种族/族裔、医疗补助、BMI和住宅财产价值(社会经济地位衡量指标)进行了调整。
在3年随访中,较高的居住密度与所有年龄组女孩以及5岁和13岁年龄组男孩的较低BMI增长相关,但与9岁年龄组男孩无关。快餐店的存在与5岁年龄组男孩以及9岁年龄组女孩的较高BMI增长相关。BMI变化与公园数量之间无显著关联,且公园面积仅与5岁年龄组男孩的BMI变化显著相关联。
较高的居住密度与儿童及青少年较低的BMI增长相关。这种影响虽小,但可能在生命过程中累积。建成环境因素对儿童及青少年3年BMI轨迹的独立影响有限。