居住邻近性及其对大学生体质指数的影响

Karly S. Geller, Jessica M Harris, Jennifer A. Moore
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摘要

目标。本研究旨在探讨健康资源的环境可及性是否与大学生相应的健康行为和体质指数(BMI)相关。这项研究考察了大学生与环境影响的距离和距离,如健身中心和快餐店与他们的身体活动(PA)、水果和蔬菜消费(FVC)和体重指数的关系。方法。来自中西部一所大学的156名大学生完成了对校园相关环境资源接近程度的横断面调查。学生地址被用来计算健康环境资源的可及性,包括与大学娱乐设施和当地杂货店的距离。身体活动被计算为代谢当量(METs),饮食行为包括每日水果和蔬菜摄入量以及每周快餐摄入量。分析。采用线性回归方法估计了与特定环境资源接近程度的参与者多重健康行为和BMI的差异。结果。在参与当前研究的156名学生中,79%为女性,87%为白人,非西班牙裔,平均年龄为20.13±1.91。没有发现行为和BMI之间的关联。靠近校园娱乐设施显著预测较低的BMI (p=0.01);与社区杂货店的距离与BMI增加有关(p=0.01)。结论。研究结果表明,与环境资源的接近程度与参与者的BMI之间存在关联;然而,这种影响发生在测量的健康行为之外。需要进行纵向检验来确定资源接近对参与者健康行为和BMI随时间变化的潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Residential Proximity And Its Impact On College Students’ Body Mass Index
Objective. The purpose of this study was to examine if environmental accessibility to healthy resources was associated with college students’ corresponding health behaviors and body mass index (BMI). This study looked at college students’ proximity and distance to environmental influence, such as fitness centers and fast food restaurants in relation to their physical activity (PA), fruit and vegetable consumption (FVC), and BMI. Methods. A sample of 156 college students from a mid-western university completed the cross-sectional survey on proximity to campus-related environmental resources. Student addresses were used to calculate accessibility to healthy environmental resources, including proximity to the university recreational facility and local grocery store. Physical activity was calculated into metabolic equivalents (METs) and dietary behavior included measures of daily fruit and vegetable consumption and weekly fast food meals. Analysis. Linear regression was used to estimate differences in participants’ multiple health behavior and BMI based on proximity to certain environmental resources. Results. Of the 156 students who participated in the current study, 79% were female and 87% were White, Non-Hispanic, with a mean age of 20.13±1.91. No associations between behaviors and BMI were detected. Proximity to the campus recreational facility significantly predicted lower BMI (p=0.01); and distance to the community grocery store was associated with increased BMI (p=0.01). Conclusion. Findings suggested associations between proximity to environmental resources and participants’ BMI; however, this influence occurred outside the measured health behaviors. Longitudinal examinations are needed to determine the potential impact of resource proximity on changes in participants’ health behavior and BMI overtime.
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