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Adaptation and Validation of the Chinese Version of the Nutrition Environment Measurement Tool for Stores

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  • Yang Liu

    (Institute of Health Sciences, China Medical University, Shenyang 110122, China
    Yang Liu and Shenzhi Song contributed equally to the paper.)

  • Shenzhi Song

    (Institute of Health Sciences, China Medical University, Shenyang 110122, China
    Yang Liu and Shenzhi Song contributed equally to the paper.)

  • Joel Gittelsohn

    (Department of International Health, Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205-2179, USA)

  • Nan Jiang

    (Institute of Health Sciences, China Medical University, Shenyang 110122, China)

  • Jiajin Hu

    (Institute of Health Sciences, China Medical University, Shenyang 110122, China)

  • Yanan Ma

    (Institute of Health Sciences, China Medical University, Shenyang 110122, China)

  • Deliang Wen

    (Institute of Health Sciences, China Medical University, Shenyang 110122, China)

Abstract

Changes in lifestyle and food environment have created a heavy burden of obesity and chronic disease in China. However, measurements of the food environment have been rarely reported in China or other countries with similar food cultures; this measurement shortage is partially due to the lack of valid and reliable measurement tools. The aim of the present study was to adapt and validate a Chinese version of the Nutritional Environment Measurement Survey for Stores (C-NEMS-S). Categories and items of the NEMS-S were culturally adapted to fit the Chinese population and included grains, dry beans, starchy tubers, vegetables, fruits, seafood, meat and poultry, dietary oils, milk, bread, instant noodles, and beverages. A scoring sheet for each food category was created to measure availability, quality, and pricing. Then, the C-NEMS-S was validated in 10 large-sized supermarkets and 10 convenience stores in Shenyang, China. Two trained raters performed their evaluations separately at the same store. The intra-class correlation coefficient (ICC) of the availability composite score was 0.98. All food measures had a moderate or good ICC (0.41 to 1.00). The kappa for each food measure ranged from 0.52 to 1.00. C-NEMS-S was able to show the difference in healthy food availability between large-sized supermarkets and convenience stores, as well as the price differences between healthier options and regular options. Large-sized supermarkets had a significantly higher total score ( p < 0.001) and healthier option availability for all food measures (all items were statistically significant ( p < 0.05), except sugar-free beverages). Healthier options cost more than regular options for grains, milk, bread, and instant noodles (from 4% to 153%). The adapted C-NEMS-S can be used to measure the consumer food environment in stores in China.

Suggested Citation

  • Yang Liu & Shenzhi Song & Joel Gittelsohn & Nan Jiang & Jiajin Hu & Yanan Ma & Deliang Wen, 2019. "Adaptation and Validation of the Chinese Version of the Nutrition Environment Measurement Tool for Stores," IJERPH, MDPI, vol. 16(5), pages 1-12, March.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:782-:d:210762
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    References listed on IDEAS

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    1. Youfa Wang & Liang Wang & Hong Xue & Weidong Qu, 2016. "A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity," IJERPH, MDPI, vol. 13(11), pages 1-16, November.
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    1. Alba Martínez-García & Julia Díez & Carlos Fernández-Escobar & Eva María Trescastro-López & Pamela Pereyra-Zamora & Carles Ariza & Usama Bilal & Manuel Franco, 2020. "Adaptation and Evaluation of the Nutrition Environment Measures Survey in Stores to Assess Mediterranean Food Environments (NEMS-S-MED)," IJERPH, MDPI, vol. 17(19), pages 1-12, September.
    2. Bianca Carducci & Yaqub Wasan & Agha Shakeel & Amjad Hussain & Jo-Anna B. Baxter & Arjumand Rizvi & Sajid B. Soofi & Zulfiqar A. Bhutta, 2022. "Characterizing Retail Food Environments in Peri-Urban Pakistan during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
    3. Yue Han & Zhihong Fan & Yixue Wu & Dandan Zhang & Xinyi Wen, 2022. "Development and Validation of Nutrition Environment Scoring for Chinese Style University/Work-Site Canteens (NESC-CC) and Oil–Salt Visual Analogue Scale (OS-VAS)," IJERPH, MDPI, vol. 19(21), pages 1-12, October.

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