Department of Environmental Health Sciences, Johns Hopkins University, Baltimore, Maryland, USA.
Am J Prev Med. 2011 Oct;41(4):e17-28. doi: 10.1016/j.amepre.2011.06.038.
No prior studies in children have evaluated how age may modify relationships of the built and social environments with BMI, nor evaluated the range of scales and contexts over which places may influence health.
To systematically evaluate associations of 33 environmental measures in three domains (land use, physical activity, and social environments) with BMI in children and adolescents in five geographies.
A cross-sectional, multilevel analysis was completed in 2009-2010 of electronic health record data (2001-2008) from 47,769 children aged 5-18 years residing in a 31-county region of Pennsylvania. Associations of environmental measures with BMI were evaluated using 0.5-mile network buffers; census tracts; minor civil divisions (i.e., townships, boroughs, cities); a mixed definition of place (townships, boroughs, and census tracts in cities); and counties, overall and by age strata.
Among all children, lower levels of community socioeconomic deprivation and greater diversity of physical activity establishments were associated with lower BMI. Associations of environmental measures differed by age, depending on scale and context. For example, higher population density was associated with lower BMI in older children; this effect was strongest in the larger geographies. Similarly, a lower level of county sprawl was associated with lower BMI in older children.
Associations differed by age and definition of place, suggesting that the benefits of environmental intervention may not be uniform across the childhood age range. The study demonstrated the utility of using electronic patient information for large-scale, population-based epidemiologic research, a research area of growing interest and investment in the U.S.
以前没有研究评估年龄如何改变建筑和社会环境与 BMI 的关系,也没有评估场所可能影响健康的范围和尺度。
系统评估三个领域(土地利用、体力活动和社会环境)中 33 项环境措施与五个地理位置的儿童和青少年 BMI 的关联。
2009-2010 年,对宾夕法尼亚州 31 个县地区 47769 名 5-18 岁儿童的电子健康记录数据(2001-2008 年)进行了横断面、多层次分析。使用 0.5 英里网络缓冲区;普查区;未成年人民事分区(即城镇、自治市、城市);混合地点定义(城市中的城镇、自治市和普查区);以及县,整体和按年龄分层评估环境措施与 BMI 的关联。
在所有儿童中,社区社会经济剥夺程度较低和更多的体力活动场所多样性与 BMI 较低有关。环境措施的关联因年龄而异,取决于尺度和环境。例如,较高的人口密度与较大的地理区域中年龄较大的儿童 BMI 较低有关。同样,较低的县蔓延程度与年龄较大的儿童 BMI 较低有关。
关联因年龄和地点定义而异,表明环境干预的益处可能不会在整个儿童年龄段内均匀分布。该研究展示了利用电子患者信息进行大规模、基于人群的流行病学研究的实用性,这是美国越来越感兴趣和投资的研究领域。