IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0046558.html
   My bibliography  Save this article

Physical Inactivity Mediates the Association between the Perceived Exercising Behavior of Social Network Members and Obesity: A Cross-Sectional Study

Author

Listed:
  • Janette S Leroux
  • Spencer Moore
  • Lucie Richard
  • Lise Gauvin

Abstract

Objectives: Social networks influence the spread of depression, health behaviors, and obesity. The social networks of older urban-dwelling adults were examined to assess whether physical inactivity mediated the association between social networks and obesity. Methods: Data come from the Montreal Neighborhood Networks and Healthy Aging study (n = 2707). Self-reported height and weight were used to calculate body mass index (BMI) with obesity defined as a BMI≥30. A name generator/interpreter instrument was used to elicit participants’ core ties (i.e., alters), and assess whether alters exercised regularly and resided in participants’ neighborhoods. The International Physical Activity Questionnaire was used to measure physical inactivity. Separate multilevel logistic regression analyses were conducted for younger (18–54 years) and older (55 years plus) age groups to examine the association between the exercising behavior of alters and obesity. Ancillary analyses examined whether the residential location of alters was associated with obesity. Mediation analyses assessed whether physical inactivity mediated the association between alter exercising behavior and obesity. Models adjusted for participant socio-demographic and -economic characteristics. Results: Among the older age stratum (55 years plus), physically inactive individuals were more likely obese (OR 2.14; 95% CIs: 1.48–3.10); participants who had more exercising alters were less likely obese (OR: 0.85; 95% CIs: 0.72–0.99). Physical inactivity mediated the association between exercising alters and obesity. Ancillary analyses showed that having exercising alters in the neighborhood compared to other locations tended to reduce the odds of obesity. Conclusion: This work demonstrates the importance of social networks among older adults in facilitating a physically active lifestyle and reducing the odds of obesity. Such findings can inform the design of public health interventions that seek to improve the environmental conditions supporting the physical activity of older adults.

Suggested Citation

  • Janette S Leroux & Spencer Moore & Lucie Richard & Lise Gauvin, 2012. "Physical Inactivity Mediates the Association between the Perceived Exercising Behavior of Social Network Members and Obesity: A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-6, October.
  • Handle: RePEc:plo:pone00:0046558
    DOI: 10.1371/journal.pone.0046558
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0046558
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0046558&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0046558?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Stuck, Andreas E. & Walthert, Jutta M. & Nikolaus, Thorsten & Büla, Christophe J. & Hohmann, Christoph & Beck, John C., 1999. "Risk factors for functional status decline in community-living elderly people: a systematic literature review," Social Science & Medicine, Elsevier, vol. 48(4), pages 445-469, February.
    2. Hruschka, D.J. & Brewis, A.A. & Wutich, A. & Morin, B., 2011. "Shared norms and their explanation for the social clustering of obesity," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 295-300.
    3. Marilia Ramos & Janet Wilmoth, 2003. "Social Relationships and Depressive Symptoms Among Older Adults in Southern Brazil," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(4), pages 253-261.
    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. Clarke, Philippa & Ailshire, Jennifer A. & Lantz, Paula, 2009. "Urban built environments and trajectories of mobility disability: Findings from a national sample of community-dwelling American adults (1986-2001)," Social Science & Medicine, Elsevier, vol. 69(6), pages 964-970, September.
    2. Valéria Teresa Saraiva Lino & Nádia Cristina Pinheiro Rodrigues & Mônica Kramer de Noronha Andrade & Inês Nascimento de Carvalho Reis & Lucília Almeida Elias Lopes & Soraya Atie, 2019. "Association between visual problems, insufficient emotional support and urinary incontinence with disability in elderly people living in a poor district in Rio de Janeiro, Brazil: A six-year follow-up," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-12, May.
    3. Yuji Kanejima & Kazuhiro P. Izawa & Masahiro Kitamura & Kodai Ishihara & Asami Ogura & Ikko Kubo & Hitomi Nagashima & Hideto Tawa & Daisuke Matsumoto & Ikki Shimizu, 2022. "Health Literacy Is Associated with Activities of Daily Living of Patients Participating in Cardiac Rehabilitation: A Multicenter Clinical Study," IJERPH, MDPI, vol. 19(24), pages 1-10, December.
    4. Fogel, Robert W., 2009. "Forecasting the cost of U.S. Health Care in 2040," Journal of Policy Modeling, Elsevier, vol. 31(4), pages 482-488, July.
    5. Satoru Kanamori & Yuko Kai & Jun Aida & Katsunori Kondo & Ichiro Kawachi & Hiroshi Hirai & Kokoro Shirai & Yoshiki Ishikawa & Kayo Suzuki & The JAGES Group, 2014. "Social Participation and the Prevention of Functional Disability in Older Japanese: The JAGES Cohort Study," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-10, June.
    6. Oliver Schilling & Hans-Werner Wahl & Frank Oswald, 2013. "Change in Life Satisfaction Under Chronic Physical Multi-morbidity in Advanced Old Age: Potential and Limits of Adaptation," Journal of Happiness Studies, Springer, vol. 14(1), pages 19-36, March.
    7. An, Ruopeng, 2015. "Nationwide expansion of a financial incentive program on fruit and vegetable purchases among Supplemental Nutrition Assistance Program participants: A cost-effectiveness analysis," Social Science & Medicine, Elsevier, vol. 147(C), pages 80-88.
    8. O'Connell, Heather A., 2015. "Where there's smoke: Cigarette use, social acceptability, and spatial approaches to multilevel modeling," Social Science & Medicine, Elsevier, vol. 140(C), pages 18-26.
    9. David M. Cutler & Mary Beth Landrum & Kate A. Stewart, 2009. "How Do The Better Educated Do It? Socioeconomic Status and the Ability to Cope With Underlying Impairment," NBER Chapters, in: Developments in the Economics of Aging, pages 203-248, National Bureau of Economic Research, Inc.
    10. Murayama, Hiroshi & Nofuji, Yu & Matsuo, Eri & Nishi, Mariko & Taniguchi, Yu & Fujiwara, Yoshinori & Shinkai, Shoji, 2015. "Are neighborhood bonding and bridging social capital protective against depressive mood in old age? A multilevel analysis in Japan," Social Science & Medicine, Elsevier, vol. 124(C), pages 171-179.
    11. Saura, José Ramón & Palacios-Marqués, Daniel & Iturricha-Fernández, Agustín, 2021. "Ethical design in social media: Assessing the main performance measurements of user online behavior modification," Journal of Business Research, Elsevier, vol. 129(C), pages 271-281.
    12. Daisuke Kimura & Ken Nakatani & Tokunori Takeda & Takashi Fujita & Nobuyuki Sunahara & Katsumi Inoue & Masako Notoya, 2015. "Analysis of Causal Relationships by Structural Equation Modeling to Determine the Factors Influencing Cognitive Function in Elderly People in Japan," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-13, February.
    13. Mia Landauer & Sirkku Juhola & Maria Söderholm, 2015. "Inter-relationships between adaptation and mitigation: a systematic literature review," Climatic Change, Springer, vol. 131(4), pages 505-517, August.
    14. Yasutake Tomata & Takashi Watanabe & Fumiya Tanji & Shu Zhang & Yumi Sugawara & Ichiro Tsuji, 2018. "The Impact of Psychological Distress on Incident Functional Disability in Elderly Japanese: The Ohsaki Cohort 2006 Study," IJERPH, MDPI, vol. 15(11), pages 1-10, November.
    15. Takafumi Monma & Fumi Takeda & Haruko Noguchi & Hideto Takahashi & Nanako Tamiya, 2016. "The Impact of Leisure and Social Activities on Activities of Daily Living of Middle-Aged Adults: Evidence from a National Longitudinal Survey in Japan," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-13, October.
    16. Huai‐Ting Kuo & Kuan‐Chia Lin & Chung‐Fu Lan & I‐Chuan Li, 2017. "Activities of daily living trajectories among institutionalised older adults: A prospective study," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(23-24), pages 4756-4767, December.
    17. Manzoli, Lamberto & Villari, Paolo & M Pirone, Giovanni & Boccia, Antonio, 2007. "Marital status and mortality in the elderly: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 64(1), pages 77-94, January.
    18. Rippon, Isla & Steptoe, Andrew, 2018. "Is the relationship between subjective age, depressive symptoms and activities of daily living bidirectional?," Social Science & Medicine, Elsevier, vol. 214(C), pages 41-48.
    19. Andrew Kingston & Joanna Collerton & Karen Davies & John Bond & Louise Robinson & Carol Jagger, 2012. "Losing the Ability in Activities of Daily Living in the Oldest Old: A Hierarchic Disability Scale from the Newcastle 85+ Study," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-7, February.
    20. Jung-A Park & Byungsook Choi, 2021. "Factors Affecting the Intention of Multi-Family House Residents to Age in Place in a Potential Naturally Occurring Retirement Community of Seoul in South Korea," Sustainability, MDPI, vol. 13(16), pages 1-22, August.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0046558. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.