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Interactions among Reward Sensitivity and Fast-Food Access on Healthy Eating Index Scores in Adolescents: A Cross-Sectional Study

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  • Shirlene D. Wang

    (Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90031, USA)

  • Michele Nicolo

    (Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90031, USA)

  • Li Yi

    (Spatial Sciences Institute, University of Southern California, Los Angeles, CA 90089, USA)

  • Genevieve F. Dunton

    (Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90031, USA)

  • Tyler B. Mason

    (Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90031, USA)

Abstract

Food cues in the environment may contribute to obesity as the consumption of unhealthy foods may reinforce reward pathways in the brain. To understand how person-level differences in reward sensitivity may be associated with diet quality, this study aimed to examine the moderating role of the availability of fast food in the environment on the relationship between reward sensitivity and diet quality in adolescents. Participants ( n = 152; 55% female; Mage: 12.5 ± 0.93 y) completed the drive and reward subscales of the Behavioral Inhibition System (BIS)/Behavioral Activation System (BAS) Scale to assess reward sensitivity and completed two 24 h dietary recalls from which Healthy Eating Index (HEI) scores (total score and subscales of adequacy and moderation) were calculated. Fast-food environment (FFE) was operationalized as the total number of fast-food outlets within 1 km around participants’ home address. Linear regressions were used to examine the main effects and interactions between reward sensitivity and FFE in relation to HEI score. Interactions were found between FFE and BAS drive ( p = 0.02) and BAS reward ( p < 0.01) on HEI adequacy. There were no interaction effects on HEI moderation or HEI total scores. For individuals who had lower access exposure to fast-food outlets (−1 SD), there was a stronger positive association between higher BAS drive (t = 2.85, p = 0.01, 95% CI (0.35, 1.94)) and HEI adequacy scores and between higher BAS reward (t = 3.27, p > 0.01, 95% CI (0.72, 2.93)) and HEI adequacy scores. By examining reward sensitivity to potential food cues in residential neighborhood food environments, it is possible to understand which adolescents are more sensitive to environmental food cues and implement interventions to buffer these influences.

Suggested Citation

  • Shirlene D. Wang & Michele Nicolo & Li Yi & Genevieve F. Dunton & Tyler B. Mason, 2021. "Interactions among Reward Sensitivity and Fast-Food Access on Healthy Eating Index Scores in Adolescents: A Cross-Sectional Study," IJERPH, MDPI, vol. 18(11), pages 1-10, May.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5744-:d:563223
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    1. Austin, S.B. & Melly, S.J. & Sanchez, B.N. & Patel, A. & Buka, S. & Gortmaker, S.L., 2005. "Clustering of fast-food restaurants around schools: A novel application of spatial statistics to the study of food environments," American Journal of Public Health, American Public Health Association, vol. 95(9), pages 1575-1581.
    2. Davis, B. & Carpenter, C., 2009. "Proximity of fast-food restaurants to schools and adolescent obesity," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 505-510.
    3. Lin, Biing-Hwan & Guthrie, Joanne & Frazao, Elizabeth, 2001. "American Children's Diets Not Making the Grade," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 24(2), pages 1-10.
    4. Lin, Biing-Hwan & Guthrie, Joanne F., 2012. "Nutritional Quality of Food Prepared at Home and Away From Home, 1977-2008," Economic Information Bulletin 142361, United States Department of Agriculture, Economic Research Service.
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