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Place of Residence Is Associated with Dietary Intake and BMI-SDS in Children and Adolescents: Findings from the DONALD Cohort Study

Author

Listed:
  • Janosch Klemm

    (Center for Development Research (ZEF), University of Bonn, Genscherallee 3, 53113 Bonn, Germany)

  • Ines Perrar

    (Institute of Nutrition and Food Sciences (IEL), Nutritional Epidemiology, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115 Bonn, Germany)

  • Christian Borgemeister

    (Center for Development Research (ZEF), University of Bonn, Genscherallee 3, 53113 Bonn, Germany)

  • Ute Alexy

    (Institute of Nutrition and Food Sciences (IEL), Nutritional Epidemiology, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115 Bonn, Germany)

  • Ute Nöthlings

    (Institute of Nutrition and Food Sciences (IEL), Nutritional Epidemiology, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115 Bonn, Germany)

Abstract

We aimed to determine whether place of residence in the German urban food environment is associated with habitual dietary intake (energy, macronutrients, and food groups) and body mass index (standard deviation score of BMI and BMI-SDS). Our hypothesis was that place of residence may explain some variation in dietary intake and nutritional outcomes. For the cross-sectional analyses of DONALD study data, we grouped participants according to their geocoded residence in the north or south of Dortmund. We applied robust multi-level mixed effects regression models using residence as a predictor and (1) BMI-SDS or (2) dietary data (daily intake of energy (kcal), macronutrients (energy percentage), or food groups (g/1000 kcal)) as the outcome. Models were adjusted for age, sex, and household socio-economic status. An analysis was carried out on 1267 anthropometric measurements collected annually from 360 participants aged 6–18 years (935 3-day weighed dietary records from 292 participants) between 2014 and 2019. In the fully adjusted models, residence in the south was associated with a lower BMI-SDS (β = −0.42, p = 0.02), lower intake of sugar-sweetened beverages (β = −47.00, p = 0.04), and higher intake of vegetables (β = 11.13, p = 0.04). Findings suggest that the place of residence, beyond individuals’ socio-economic statuses, may be a contributing factor to dietary quality.

Suggested Citation

  • Janosch Klemm & Ines Perrar & Christian Borgemeister & Ute Alexy & Ute Nöthlings, 2023. "Place of Residence Is Associated with Dietary Intake and BMI-SDS in Children and Adolescents: Findings from the DONALD Cohort Study," IJERPH, MDPI, vol. 21(1), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:21:y:2023:i:1:p:46-:d:1309310
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    References listed on IDEAS

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    1. Gwozdz, Wencke & Sousa-Poza, Alfonso & Reisch, Lucia A. & Bammann, Karin & Eiben, Gabriele & Kourides, Yiannis & Kovács, Éva & Lauria, Fabio & Konstabel, Kenn & Santaliestra-Pasias, Alba M. & Vyncke, , 2015. "Peer effects on obesity in a sample of European children," Economics & Human Biology, Elsevier, vol. 18(C), pages 139-152.
    2. Moriasi Abednego Nyanchoka & Martha Elizabeth van Stuijvenberg & Ayuk Betrand Tambe & Mthokozisi Kwazi Zuma & Xikombiso Gertrude Mbhenyane, 2022. "Fruit and Vegetable Consumption Patterns and Risk of Chronic Diseases of Lifestyle among University Students in Kenya," IJERPH, MDPI, vol. 19(12), pages 1-19, June.
    3. Kristen Cooksey-Stowers & Marlene B. Schwartz & Kelly D. Brownell, 2017. "Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States," IJERPH, MDPI, vol. 14(11), pages 1-20, November.
    4. Deja Hendrickson & Chery Smith & Nicole Eikenberry, 2006. "Fruit and vegetable access in four low-income food deserts communities in Minnesota," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 23(3), pages 371-383, October.
    5. Sven Schneider & Jutta Mata & Philipp Kadel, 2020. "Relations between sweetened beverage consumption and individual, interpersonal, and environmental factors: a 6-year longitudinal study in German children and adolescents," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(5), pages 559-570, June.
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