Hedrick Valisa E, Farris Alisha R, Houghtaling Bailey, Mann Georgianna, Misyak Sarah A
Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA.
Department of Nutrition and Health Care Management, Appalachian State University, Boone, NC.
J Nutr Educ Behav. 2022 Aug;54(8):776-783. doi: 10.1016/j.jneb.2022.02.018. Epub 2022 May 25.
To assess the validity of the Market Basket Analysis Tool (MBAT) for food environment quality within various retail environments compared to the Nutrition Environment Measures Survey in Stores (NEMS-S).
In-store assessments using the MBAT and the NEMS-S on the same day in a given store were conducted in grocery stores, corner stores, pharmacies, and dollar stores in a metropolis, and urban and rural counties across 4 states: Louisiana, Mississippi, North Carolina, and Virginia. Descriptive statistics, correlations, and ANOVAs were used to assess store location, store type differences, and MBAT and NEMS-S scores.
Market Basket Analysis Tool and NEMS-S data were collected from 114 stores. Market Basket Analysis Tool and NEMS-S total and all individual component scores were significantly correlated (r = 0.84, P ≤ 0.0001; r range, 0.51-0.88; P ≤ 0.0001).
The MBAT offers a methodology to measure the food retail environment focusing on the availability of healthful food items with a reduced training time and streamlined data collection compared with the NEMS-S. Future work can assess the completion time of the MBAT compared with the NEMS-S and the ability of the MBAT to detect changes in food environment quality post healthy food retail interventions.
与商店营养环境测量调查(NEMS-S)相比,评估市场篮子分析工具(MBAT)在各种零售环境中衡量食品环境质量的有效性。
在一个大都市以及路易斯安那州、密西西比州、北卡罗来纳州和弗吉尼亚州的4个州的城市和农村县的杂货店、街角商店、药店和一元店中,于同一天使用MBAT和NEMS-S进行店内评估。描述性统计、相关性分析和方差分析用于评估商店位置、商店类型差异以及MBAT和NEMS-S得分。
从114家商店收集了市场篮子分析工具和NEMS-S的数据。市场篮子分析工具和NEMS-S的总分以及所有单个成分得分均显著相关(r = 0.84,P≤0.0001;r范围为0.51 - 0.88;P≤0.0001)。
与NEMS-S相比,MBAT提供了一种测量食品零售环境的方法,该方法侧重于健康食品的可获得性,且培训时间更短,数据收集更简化。未来的工作可以评估与NEMS-S相比MBAT的完成时间,以及MBAT在健康食品零售干预后检测食品环境质量变化的能力。