IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i9p1916-d167482.html
   My bibliography  Save this article

Differences in Context-Specific Sedentary Behaviors According to Weight Status in Adolescents, Adults and Seniors: A Compositional Data Analysis

Author

Listed:
  • Sofie Compernolle

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

  • Delfien Van Dyck

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

  • Katrien De Cocker

    (Physically Active Lifestyles Research Group, Institute for Resilient Regions, University of Southern Queensland, Springfield, QLD 4300, Australia)

  • Javier Palarea-Albaladejo

    (Biomathematics and Statistics Scotland, Edinburgh EH9, UK)

  • 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, Glasgow G12, UK)

Abstract

To develop effective sedentary behavior interventions aimed at people who are overweight/obese, detailed insight is needed into the contexts of sedentary behavior of these people. Therefore, the aims of this study were to describe the composition of sedentary behavior and to compare context-specific sedentary behaviors between different weight groups. Cross-sectional data were used from a study conducted in 2013–2014 among a Flemish sample of adolescents ( n = 513), adults ( n = 301), and seniors ( n = 258). Sixteen context-specific sedentary behaviors were assessed using a validated questionnaire during the week and weekend. Compositional descriptive statistics were performed to determine the relative contribution of context-specific sedentary behaviors in the three age groups. Compositional multivariate analysis of covariance and pairwise comparisons were conducted to examine weight group differences in context-specific sedentary behaviors. The compositional means indicated that the highest proportion of sedentary time was spent at school, at work, and while watching television. Statistically significant differences were found in the composition of sedentary behaviors between healthy weight and overweight/obese participants. In all age groups, socially engaging sedentary behaviors were more prevalent in healthy weight people, whereas socially disengaging behaviors were more prevalent in overweight/obese people. Consequently, the findings of this study suggest that future overweight/obesity interventions should no longer focus on total sedentary time, as not all context-specific sedentary behaviors are associated with overweight/obesity. Instead, it might be better to target specific contexts of sedentary behaviors—preferably those less socially engaging—when aiming to reduce overweight/obesity.

Suggested Citation

  • Sofie Compernolle & Delfien Van Dyck & Katrien De Cocker & Javier Palarea-Albaladejo & Ilse De Bourdeaudhuij & Greet Cardon & Sebastien F. M. Chastin, 2018. "Differences in Context-Specific Sedentary Behaviors According to Weight Status in Adolescents, Adults and Seniors: A Compositional Data Analysis," IJERPH, MDPI, vol. 15(9), pages 1-12, September.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:1916-:d:167482
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/9/1916/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/9/1916/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maximilian Tremmel & Ulf-G. Gerdtham & Peter M. Nilsson & Sanjib Saha, 2017. "Economic Burden of Obesity: A Systematic Literature Review," IJERPH, MDPI, vol. 14(4), pages 1-18, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabienne Reiners & Janienke Sturm & Lisette J.W. Bouw & Eveline J.M. Wouters, 2019. "Sociodemographic Factors Influencing the Use of eHealth in People with Chronic Diseases," IJERPH, MDPI, vol. 16(4), pages 1-12, February.
    2. Awaworyi Churchill, Sefa & Asante, Augustine, 2023. "Neighbourhood crime and obesity: Longitudinal evidence from Australia," Social Science & Medicine, Elsevier, vol. 337(C).
    3. Fatin Hanani Mazri & Zahara Abdul Manaf & Suzana Shahar & Arimi Fitri Mat Ludin & Siti Munirah Abdul Basir, 2022. "Development and Evaluation of Integrated Chrono-Nutrition Weight Reduction Program among Overweight/Obese with Morning and Evening Chronotypes," IJERPH, MDPI, vol. 19(8), pages 1-20, April.
    4. Cobb-Clark, Deborah A. & Dahmann, Sarah C. & Kamhöfer, Daniel A. & Schildberg-Hörisch, Hannah, 2023. "Self-control and unhealthy body weight: The role of impulsivity and restraint," Economics & Human Biology, Elsevier, vol. 50(C).
    5. Sus Sola Corazon & Ulrik Sidenius & Katrine Schjødt Vammen & Sabine Elm Klinker & Ulrika Karlsson Stigsdotter & Dorthe Varning Poulsen, 2018. "The Tree Is My Anchor : A Pilot Study on the Treatment of BED through Nature-Based Therapy," IJERPH, MDPI, vol. 15(11), pages 1-10, November.
    6. Catherine H Linaker & Stefania D’Angelo & Holly E Syddall & E Clare Harris & Cyrus Cooper & Karen Walker-Bone, 2020. "Body Mass Index (BMI) and Work Ability in Older Workers: Results from the Health and Employment after Fifty (HEAF) Prospective Cohort Study," IJERPH, MDPI, vol. 17(5), pages 1-13, March.
    7. Aoqi Xu & Mehdi Darbandi & Danial Javaheri & Nima Jafari Navimipour & Senay Yalcin & Anas A. Salameh, 2023. "The Management of IoT-Based Organizational and Industrial Digitalization Using Machine Learning Methods," Sustainability, MDPI, vol. 15(7), pages 1-28, March.
    8. Andersson, Emelie & Eliasson, Björn & Steen Carlsson, Katarina, 2022. "Current and future costs of obesity in Sweden," Health Policy, Elsevier, vol. 126(6), pages 558-564.
    9. Aino Vesikansa & Juha Mehtälä & Katja Mutanen & Annamari Lundqvist & Tiina Laatikainen & Tero Ylisaukko-oja & Tero Saukkonen & Kirsi H. Pietiläinen, 2023. "Obesity and metabolic state are associated with increased healthcare resource and medication use and costs: a Finnish population-based study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(5), pages 769-781, July.
    10. Kalbarczyk, Małgorzata & Mackiewicz-Łyziak, Joanna & Mycielska, Dagmara, 2022. "Long-term care costs and obesity - projections for Poland," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 235-245.
    11. Wei-Lun Wen & Pei-Yu Wu & Jiun-Chi Huang & Hung-Pin Tu & Szu-Chia Chen, 2021. "Different Curve Shapes of Fasting Glucose and Various Obesity-Related Indices by Diabetes and Sex," IJERPH, MDPI, vol. 18(6), pages 1-14, March.
    12. Sang-Dol Kim, 2021. "Complementary and Integrative Health Approaches for Weight Management in the Obese Population: The 2018 Korea National Health and Nutrition Examination Survey," IJERPH, MDPI, vol. 18(15), pages 1-10, August.
    13. Marta Buczkowska & Michał Górski & Joanna Domagalska & Krzysztof Buczkowski & Przemysław Nowak, 2022. "Type D Personality and Health Behaviors in People Living with Obesity," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    14. Jongnam Hwang & Eun-Young Lee & Chung Gun Lee, 2019. "Measuring Socioeconomic Inequalities in Obesity among Korean Adults, 1998–2015," IJERPH, MDPI, vol. 16(9), pages 1-14, May.
    15. Mohammad S. Jalali & Hazhir Rahmandad & Sally Lawrence Bullock & Alice Ammerman, 2017. "Dynamics of Implementation and Maintenance of Organizational Health Interventions," IJERPH, MDPI, vol. 14(8), pages 1-24, August.
    16. Akram Hernández-Vásquez & Rodrigo Vargas-Fernández, 2022. "Changes in the Prevalence of Overweight and Obesity among Peruvian Children under Five Years before and during the COVID-19 Pandemic: Findings from a Nationwide Population-Based Study," IJERPH, MDPI, vol. 19(19), pages 1-14, September.
    17. Tejaswini Oduru & Alexis Jordan & Albert Park, 2022. "Healthy vs. Unhealthy Food Images: Image Classification of Twitter Images," IJERPH, MDPI, vol. 19(2), pages 1-12, January.
    18. Jozaa Z. AlTamimi & Naseem M. Alshwaiyat & Hana Alkhalidy & Nora A. AlFaris & Nora M. AlKehayez & Reham I. Alagal, 2022. "Breakfast Skipping among a Multi-Ethnic Population of Young Men and Relationship with Sociodemographic Determinants and Weight Status," IJERPH, MDPI, vol. 19(5), pages 1-11, March.
    19. Kaixing Huang & Qianqian Hong, 2024. "The impact of global warming on obesity," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(3), pages 1-32, September.
    20. Mohammed Khaled Al-Hanawi & Gowokani Chijere Chirwa & Tony Mwenda Kamninga, 2020. "Decomposition of Gender Differences in Body Mass Index in Saudi Arabia using Unconditional Quantile Regression: Analysis of National-Level Survey Data," IJERPH, MDPI, vol. 17(7), pages 1-15, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:1916-:d:167482. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.