The neighborhood food environment: sources of historical data on retail food stores.
The neighborhood food environment: sources of historical data on retail food stores.
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DOI：
10.1186/1479-5868-3-15
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发表时间：
2006-07-17
期刊：
影响因子：
--
通讯作者：
Winkleby MA
中科院分区：
文献类型：
--
作者：
Wang MC;Gonzalez AA;Ritchie LD;Winkleby MA
随着美国肥胖症的流行率迅速增加，以及基于教育的干预措施的最小成功，人们越来越有兴趣了解邻里食品环境在决定饮食行为中的作用。这项研究，作为一个更大的研究的一部分，确定零售食品商店的历史数据，评估研究数据的优势和局限性，并评估历史零售食品商店数据的可比性从政府和商业来源。确定了五个政府和商业零售食品商店清单。选择加州州均衡委员会（SBOE）数据库，然后与电话业务目录列表进行比较。的斯皮尔曼的相关系数被用来评估一致性的食品商店计数之间的SBOE和电话业务目录数据库的人口普查区域。背景是1979-1990年北方加州的四个城市。SBOE和电话商业目录数据库分别列出了127家和351家零售食品商店。SBOE列出了36家电话业务目录未列出的商店，而电话业务目录列出了260家SBOE未列出的商店。对于所研究的商店类型（连锁超市、小型杂货店和连锁便利市场），根据SBOE列表和电话商业目录列表对每个人口普查区域的商店估计值之间的斯皮尔曼相关系数约为0.5（p <0.0001）。我们的结论是，根据研究的具体目标，谨慎和相当大的努力，必须行使在使用和应用历史数据的零售食品商店。
With the rapidly increasing prevalence of obesity in the United States, and the minimal success of education-based interventions, there is growing interest in understanding the role of the neighborhood food environment in determining dietary behavior. This study, as part of a larger study, identifies historical data on retail food stores, evaluates strengths and limitations of the data for research, and assesses the comparability of historical retail food store data from a government and a commercial source. Five government and commercial listings of retail food stores were identified. The California State Board of Equalization (SBOE) database was selected and then compared to telephone business directory listings. The Spearman's correlation coefficient was used to assess the congruency of food store counts per census tract between the SBOE and telephone business directory databases. The setting was four cities in Northern California, 1979–1990. The SBOE and telephone business directory databases listed 127 and 351 retail food stores, respectively. The SBOE listed 36 stores not listed by the telephone business directories, while the telephone business directories listed 260 stores not listed by the SBOE. Spearman's correlation coefficients between estimates of stores per census tract made from the SBOE listings and those made from the telephone business directory listings were approximately 0.5 (p < .0001) for the types of stores studied (chain supermarkets, small grocery stores, and chain convenience markets). We conclude that, depending on the specific aims of the study, caution and considerable effort must be exercised in using and applying historical data on retail food stores.