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Cross-Sectional Associations between Home Environmental Factors and Domain-Specific Sedentary Behaviors in Adults: The Moderating Role of Socio-Demographic Variables and BMI

Author

Listed:
  • Sofie Compernolle

    (Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium)

  • Cedric Busschaert

    (Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium)

  • Ilse De Bourdeaudhuij

    (Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium)

  • Greet Cardon

    (Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium)

  • Sebastien F. M. Chastin

    (Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
    School of Health and Life Science, Institute of Applied Health Research, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK)

  • Jelle Van Cauwenberg

    (Research Foundation Flanders (FWO), 1000 Brussels, Belgium
    Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium)

  • Katrien De Cocker

    (Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
    Research Foundation Flanders (FWO), 1000 Brussels, Belgium)

Abstract

Despite the negative health effects of too much sitting, the majority of adults are too sedentary. To develop effective interventions, insight is needed into home environmental correlates of adults’ sedentary behaviors, and into the susceptibility of population subgroups to these home environmental cues. In total, 559 Flemish adults reported socio-demographics, weight and height, home environmental factors and domain-specific sedentary behaviors. Generalized linear modeling was conducted to examine main associations between home environmental factors and domain-specific sedentary behaviors, and to test the moderating role of socio-demographics and BMI on these associations. In case of significant interactions, stratified analyses were performed. Results showed that, among those who did use a computer/laptop during the last week, a one-unit increase in the number of computers or laptops was associated with 17% (OR = 1.17; 95% CI = 1.02, 1.34) and 24% (OR = 1.24; 95% CI = 1.08, 1.43) more minutes computer time per day, respectively. The proximity of the remote controller ( p < 0.001) and the number of televisions ( p = 0.03) were positively associated with television time, and the number of motorized vehicles (95% CI = 0.001, 0.12) was positively associated with the odds of participation in transport-related sitting time. The latter two associations were moderated by BMI, with significant positive associations limited to those not overweight. To conclude, home environmental factors were associated with domain-specific sedentary behaviors, especially in healthy weight adults. If confirmed by longitudinal studies, public health professionals should encourage adults to limit the number of indoor entertainment devices and motorized vehicles.

Suggested Citation

  • Sofie Compernolle & Cedric Busschaert & Ilse De Bourdeaudhuij & Greet Cardon & Sebastien F. M. Chastin & Jelle Van Cauwenberg & Katrien De Cocker, 2017. "Cross-Sectional Associations between Home Environmental Factors and Domain-Specific Sedentary Behaviors in Adults: The Moderating Role of Socio-Demographic Variables and BMI," IJERPH, MDPI, vol. 14(11), pages 1-12, October.
  • Handle: RePEc:gam:jijerp:v:14:y:2017:i:11:p:1329-:d:117079
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    References listed on IDEAS

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    1. Bell, J.A. & Hamer, M. & Shankar, A., 2014. "Gender-specific associations of objective and perceived neighborhood characteristics with body mass index and waist circumference among older adults in the English Longitudinal Study of Ageing," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1279-1286.
    2. Han, T.S. & Tijhuis, M.A.R. & Lean, M.E.J. & Seidell, J.C., 1998. "Quality of life in relation to overweight and body fat distribution," American Journal of Public Health, American Public Health Association, vol. 88(12), pages 1814-1820.
    3. Simons, Dorien & Clarys, Peter & De Bourdeaudhuij, Ilse & de Geus, Bas & Vandelanotte, Corneel & Deforche, Benedicte, 2014. "Why do young adults choose different transport modes? A focus group study," Transport Policy, Elsevier, vol. 36(C), pages 151-159.
    4. Chaudhury, Habib & Campo, Michael & Michael, Yvonne & Mahmood, Atiya, 2016. "Neighbourhood environment and physical activity in older adults," Social Science & Medicine, Elsevier, vol. 149(C), pages 104-113.
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    Cited by:

    1. Miguel Alejandro Atencio-Osorio & Hugo Alejandro Carrillo-Arango & María Correa-Rodríguez & Diego Rivera & José Castro-Piñero & Robinson Ramírez-Vélez, 2021. "Youth Leisure-Time Sedentary Behavior Questionnaire (YLSBQ): Reliability and Validity in Colombian University Students," IJERPH, MDPI, vol. 18(15), pages 1-10, July.
    2. Gerson Luis de Moraes Ferrari & André Oliveira Werneck & Danilo Rodrigues da Silva & Irina Kovalskys & Georgina Gómez & Attilio Rigotti & Lilia Yadira Cortés Sanabria & Martha Cecilia Yépez García & R, 2020. "Socio-Demographic Correlates of Total and Domain-Specific Sedentary Behavior in Latin America: A Population-Based Study," IJERPH, MDPI, vol. 17(15), pages 1-19, August.

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