The association between the food environment and weight status among eastern North Carolina youth
The association between the food environment and weight status among eastern North Carolina youth
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DOI：
10.1017/s1368980011000668
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发表时间：
2011-09-01
影响因子：
3.2
通讯作者：
Moore, Justin B.
中科院分区：
文献类型：
--
作者：
Jilcott, Stephanie B.;Wade, Scott;Moore, Justin B.
目的：研究各种措施之间的关联的食品环境和BMI百分位数youth.Design：横断面，观察设置：皮特县，东部北卡罗来纳州Subjects：我们提取了电子病历的青年接受良好的儿童检查，从2007年1月至2008年6月。我们从两个次要来源和地面实况调查中获得了食品场所的地址。通过对744个青年和食品场所的家庭地址进行地理编码，建立了一个地理信息系统数据库。我们通过计算“覆盖率”，0.25，0.5，1和5英里（0.4，0.8，1.6和8.0公里）缓冲区内的食品场所数量以及计算“接近度”或距离最近的食品场所来量化参与者对食品场所的可及性。我们研究了BMI百分位数和食品场地可达性之间的关联使用相关性和回归analysis.Results：有负相关的BMI百分位数和覆盖率的农贸市场/农产品市场在0.25和0.5英里欧几里德和0.25，0.5和1英里的道路网络缓冲区。在0.25英里的欧几里得和网络缓冲区中，BMI百分位数与快餐和比萨饼店的覆盖率之间存在正相关。在多变量分析调整种族，保险状况和农村/城市居住，接近便利店（网络距离）与BMI百分位数呈负相关，接近农贸市场与BMI百分位数呈正相关。结论：可访问各种类型的食品场所与BMI百分位数在东部北卡罗来纳州青年。未来的纵向工作应审查传统和非传统食品场所的可获得性和使用之间的相关性。
Objective: To examine associations between various measures of the food environment and BMI percentile among youth.Design: Cross-sectional, observational.Setting: Pitt County, eastern North Carolina.Subjects: 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.Results: 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.Conclusions: 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.