Department of Public Health, Brody School of Medicine, East Carolina University, 1709 West Sixth Street, Greenville, NC 27834, USA.
Public Health Nutr. 2011 Sep;14(9):1610-7. doi: 10.1017/S1368980011000668. Epub 2011 Apr 13.
To examine associations between various measures of the food environment and BMI percentile among youth.
Cross-sectional, observational.
Pitt County, eastern North Carolina.
We extracted the electronic medical records for youth receiving well child check-ups from January 2007 to June 2008. We obtained addresses for food venues from two secondary sources and ground-truthing. A geographic information systems database was constructed by geocoding home addresses of 744 youth and food venues. We quantified participants' accessibility to food venues by calculating 'coverage', number of food venues in buffers of 0·25, 0·5, 1 and 5 miles (0·4, 0·8, 1·6 and 8·0 km) and by calculating 'proximity' or distance to the closest food venue. We examined associations between BMI percentile and food venue accessibility using correlation and regression analyses.
There were negative associations between BMI percentile and coverage of farmers' markets/produce markets in 0·25 and 0·5 mile Euclidean and 0·25, 0·5 and 1 mile road network buffers. There were positive associations between BMI percentile and coverage of fast-food and pizza places in the 0·25 mile Euclidean and network buffers. In multivariate analyses adjusted for race, insurance status and rural/urban residence, proximity (network distance) to convenience stores was negatively associated with BMI percentile and proximity to farmers' markets was positively associated with BMI percentile.
Accessibility to various types of food venues is associated with BMI percentile in eastern North Carolina youth. Future longitudinal work should examine correlations between accessibility to and use of traditional and non-traditional food venues.
研究食品环境的各种衡量指标与青少年 BMI 百分位之间的关系。
横断面、观察性研究。
北卡罗来纳州东部的皮特县。
我们从 2007 年 1 月至 2008 年 6 月提取了接受常规儿童健康检查的青少年的电子病历。我们从两个二手资料来源和实地调查中获取了食品场所的地址。通过对 744 名青少年和食品场所的家庭住址进行地理编码,构建了一个地理信息系统数据库。我们通过计算“覆盖范围”(0.25、0.5、1 和 5 英里[0.4、0.8、1.6 和 8.0 公里]缓冲区中的食品场所数量)和计算“接近度”(到最近食品场所的距离)来量化参与者获得食品场所的便利程度。我们使用相关和回归分析研究了 BMI 百分位与食品场所可达性之间的关系。
BMI 百分位与 0.25 和 0.5 英里欧几里得和 0.25、0.5 和 1 英里路网缓冲区中农贸市场/农产品市场的覆盖度呈负相关。BMI 百分位与 0.25 英里欧几里得和网络缓冲区中快餐和披萨店的覆盖度呈正相关。在调整了种族、保险状况和农村/城市居住状况的多变量分析中,便利店的接近度(网络距离)与 BMI 百分位呈负相关,农贸市场的接近度与 BMI 百分位呈正相关。
在北卡罗来纳州东部的青少年中,各种类型的食品场所的可达性与 BMI 百分位有关。未来的纵向研究应检验与传统和非传统食品场所的使用相关的可达性之间的相关性。