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Social connections and the healthfulness of food choices in an employee population

Author

Listed:
  • Douglas E. Levy

    (Massachusetts General Hospital
    Harvard Medical School)

  • Mark C. Pachucki

    (University of Massachusetts, Amherst)

  • A. James O’Malley

    (Geisel School of Medicine at Dartmouth)

  • Bianca Porneala

    (Massachusetts General Hospital)

  • Awesta Yaqubi

    (Boston University School of Medicine)

  • Anne N. Thorndike

    (Harvard Medical School
    Massachusetts General Hospital)

Abstract

Unhealthy food choice is an important driver of obesity, but research examining the relationship of food choices and social influence has been limited. We sought to assess associations in the healthfulness of workplace food choices among a large population of diverse employees whose food-related social connections were identified using passively collected data in a validated model. Data were drawn from 3 million encounters where pairs of employees made purchases together in 2015–2016. The healthfulness of food items was defined by ‘traffic light’ labels. Cross-sectional simultaneously autoregressive models revealed that proportions of both healthy and unhealthy items purchased were positively associated between connected employees. Longitudinal generalized estimating equation models also found positive associations between an employee’s current food purchase and the most recent previous food purchase a coworker made together with the employee. These data indicate that workplace interventions to promote healthy eating and reduce obesity should test peer-based strategies.

Suggested Citation

  • Douglas E. Levy & Mark C. Pachucki & A. James O’Malley & Bianca Porneala & Awesta Yaqubi & Anne N. Thorndike, 2021. "Social connections and the healthfulness of food choices in an employee population," Nature Human Behaviour, Nature, vol. 5(10), pages 1349-1357, October.
  • Handle: RePEc:nat:nathum:v:5:y:2021:i:10:d:10.1038_s41562-021-01103-x
    DOI: 10.1038/s41562-021-01103-x
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    Cited by:

    1. Luo, Xi & Gao, Yaru & Liu, Xiaojun & Sun, Yongkai & Li, Na & Liu, Jianghua, 2023. "ACHRA: A novel model to study the propagation of clean heating acceptance among rural residents based on social networks," Applied Energy, Elsevier, vol. 333(C).
    2. Daniel J. Pohl & Dominika Seblova & Justina F. Avila & Karen A. Dorsman & Erin R. Kulick & Joan A. Casey & Jennifer Manly, 2021. "Relationship between Residential Segregation, Later-Life Cognition, and Incident Dementia across Race/Ethnicity," IJERPH, MDPI, vol. 18(21), pages 1-16, October.
    3. Franco Fassio & Marcello Bogetti & Damiano Cortese & Alessandra Savina, 2022. "SEeD for Change: The Systemic Event Design Project Applied to Terra Madre Salone del Gusto for the Development of Food Communities," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    4. Daria Loginova & Stefan Mann, 2024. "Sweet home or battle of the sexes: who dominates food purchasing decisions?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

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