Field validation of listings of food stores and commercial physical activity establishments from secondary data.
Field validation of listings of food stores and commercial physical activity establishments from secondary data.
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DOI：
10.1186/1479-5868-5-58
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发表时间：
2008-11-10
影响因子：
8.7
通讯作者：
Gauvin, Lise
中科院分区：
文献类型：
--
作者：
Paquet, Catherine;Daniel, Mark;Kestens, Yan;Leger, Karine;Gauvin, Lise
与食品和活动相关的场所越来越多地被视为可能影响健康相关行为的社区资源。本研究的主要目标是利用地面实况（现场验证）来确定从商业数据库和互联网搜索中获得的食品商店和体育活动场所可用性指标的有效性。第二个目标是根据邻里特征和商业机构类别检查有效性结果的差异。使用商业数据库（n = 171 家机构）和互联网搜索引擎（n = 123 家机构）编制了蒙特利尔大都市区 12 个人口普查区的食品店和体育活动相关机构清单。通过实地观察进行地面实况评估，以评估所列企业的存在并识别不存在的企业。根据数据源、普查区特征和企业类别，计算和对比百分比一致性、敏感性（在该领域发现的已列出企业的比例）和阳性预测值（在该领域发现的已列出企业的比例）。对于商业列表，与现场观察的一致性良好（0.73）；对于基于互联网的列表，与现场观察的一致性中等（0.60）。在正确列出现场存在的企业方面，商业列表优于基于互联网的列表（敏感性），但在列出的企业存在于现场的可能性方面（阳性预测值）稍差一些。食品店的认同度高于活动相关场所。商业数据源可以提供现场观察的有效替代方案，并且可以证明是评估与饮食行为相关的商业环境的宝贵工具。相比之下，这项研究没有找到强有力的证据来支持商业和互联网数据源来代表社区积极生活方式的机会。
Food- and activity-related establishments are increasingly viewed as neighbourhood resources that potentially condition health-related behaviour. The primary objective of the current study was to establish, using ground truthing (on-site verification), the validity of measures of availability of food stores and physical activity establishments that were obtained from commercial database and Internet searches. A secondary objective was to examine differences in validity results according to neighbourhood characteristics and commercial establishment categories. Lists of food stores and physical activity-related establishments in 12 census tracts within the Montreal metropolitan region were compiled using a commercial database (n = 171 establishments) and Internet search engines (n = 123 establishments). Ground truthing through field observations was performed to assess the presence of listed establishments and identify those absent. Percentage agreement, sensitivity (proportion of establishments found in the field that were listed), and positive predictive value (proportion of listed establishments found in the field) were calculated and contrasted according to data sources, census tracts characteristics, and establishment categories. Agreement with field observations was good (0.73) for the commercial list, and moderate (0.60) for the Internet-based list. The commercial list was superior to the Internet-based list for correctly listing establishments present in the field (sensitivity), but slightly inferior in terms of the likelihood that a listed establishment was present in the field (positive predictive value). Agreement was higher for food stores than for activity-related establishments. Commercial data sources may provide a valid alternative to field observations and could prove a valuable tool in the evaluation of commercial environments relevant to eating behaviour. In contrast, this study did not find strong evidence in support of commercial and Internet data sources to represent neighbourhood opportunities for active lifestyle.
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影响因子：
5.1
作者：
Cohen, DA;Scribner, RA;Farley, TA
通讯作者：
Farley, TA
影响因子：
12.7
作者：
Goodman, E;Slap, GB;Huang, B
通讯作者：
Huang, B
影响因子：
5.5
作者：
Nelson, Melissa C.;Gordon-Larsen, Penny;Popkin, Barry M.
通讯作者：
Popkin, Barry M.
影响因子：
5.1
作者：
Burdette, HL;Whitaker, RC
通讯作者：
Whitaker, RC
影响因子：
8
作者：
Gordon-Larsen, P;Nelson, MC;Popkin, BM
通讯作者：
Popkin, BM