IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0227029.html
   My bibliography  Save this article

Are changes in depressive symptoms, general health and residential area socio-economic status associated with trajectories of waist circumference and body mass index?

Author

Listed:
  • Theo Niyonsenga
  • Suzanne J Carroll
  • Neil T Coffee
  • Anne W Taylor
  • Mark Daniel

Abstract

Objective: This study sought to assess whether changes in depressive symptoms, general health, and area-level socio-economic status (SES) were associated to changes over time in waist circumference and body mass index (BMI). Methods: A total of 2871 adults (18 years or older), living in Adelaide (South Australia), were observed across three waves of data collection spanning ten years, with clinical measures of waist circumference, height and weight. Participants completed the Centre for Epidemiologic Studies Depression (CES-D) and Short Form 36 health questionnaires (SF-36 general health domain). An area-level SES measure, relative location factor, was derived from hedonic regression models using residential property features but blind to location. Growth curve models with latent variables were fitted to data. Results: Waist circumference, BMI and depressive symptoms increased over time. General health and relative location factor decreased. Worsening general health and depressive symptoms predicted worsening waist circumference and BMI trajectories in covariate-adjusted models. Diminishing relative location factor was negatively associated with waist circumference and BMI trajectories in unadjusted models only. Conclusions: Worsening depressive symptoms and general health predict increasing adiposity and suggest the development of unhealthful adiposity might be prevented by attention to negative changes in mental health and overall general health.

Suggested Citation

  • Theo Niyonsenga & Suzanne J Carroll & Neil T Coffee & Anne W Taylor & Mark Daniel, 2020. "Are changes in depressive symptoms, general health and residential area socio-economic status associated with trajectories of waist circumference and body mass index?," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-19, January.
    • Handle: RePEc:plo:pone00:0227029
    DOI: 10.1371/journal.pone.0227029
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227029
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0227029&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0227029?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. Sullivan, Marianne & Karlsson, Jan & Ware, John E., 1995. "The Swedish SF-36 Health Survey--I. Evaluation of data quality, scaling assumptions, reliability and construct validity across general populations in Sweden," Social Science & Medicine, Elsevier, vol. 41(10), pages 1349-1358, November.
    2. Noah Uhrig, S.C., 2008. "The nature and causes of attrition in the British Household Panel Study," ISER Working Paper Series 2008-05, Institute for Social and Economic Research.
    3. Lockwood, Tony & Coffee, Neil T & Rossini, Peter & Niyonsenga, Theo & McGreal, Stanley, 2018. "Does where you live influence your socio-economic status?," Land Use Policy, Elsevier, vol. 72(C), pages 152-160.
    4. Apostolos Davillas & Michaela Benzeval & Meena Kumari, 2016. "Association of Adiposity and Mental Health Functioning across the Lifespan: Findings from Understanding Society (The UK Household Longitudinal Study)," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-19, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Apostolos Davillas & Michaela Benzeval & Meena Kumari, 2016. "Association of Adiposity and Mental Health Functioning across the Lifespan: Findings from Understanding Society (The UK Household Longitudinal Study)," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-19, February.

    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. Hongyun Fu & Mark VanLandingham, 2012. "Mental Health Consequences of International Migration for Vietnamese Americans and the Mediating Effects of Physical Health and Social Networks: Results From a Natural Experiment Approach," Demography, Springer;Population Association of America (PAA), vol. 49(2), pages 393-424, May.
    2. Binder, Martin & Coad, Alex, 2013. "“I'm afraid I have bad news for you…” Estimating the impact of different health impairments on subjective well-being," Social Science & Medicine, Elsevier, vol. 87(C), pages 155-167.
    3. Adrian Chadi, 2019. "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(3), pages 519-553, October.
    4. Hayley Fisher & Hamish Low, 2015. "Financial implications of relationship breakdown: Does marriage matter?," Review of Economics of the Household, Springer, vol. 13(4), pages 735-769, December.
    5. Lipps Oliver & Voorpostel Marieke, 2020. "Can Interviewer Evaluations Predict Short-Term and Long-Term Participation in Telephone Panels?," Journal of Official Statistics, Sciendo, vol. 36(1), pages 117-136, March.
    6. Apostolos Davillas & Andrew M Jones, 2021. "The first wave of the COVID‐19 pandemic and its impact on socioeconomic inequality in psychological distress in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1668-1683, July.
    7. Laura Fumagalli & Heather Laurie & Peter Lynn, 2013. "Experiments with methods to reduce attrition in longitudinal surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 499-519, February.
    8. Nicole Watson & Mark Wooden, 2011. "Re-engaging with Survey Non-respondents: The BHPS, SOEP and HILDA Survey Experience," Melbourne Institute Working Paper Series wp2011n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. Lagorio, Carlos, 2016. "Call and response: modelling longitudinal contact and cooperation using Wave 1 call records data," Understanding Society Working Paper Series 2016-01, Understanding Society at the Institute for Social and Economic Research.
    10. Gerardo Barbosa Castillo & Andrés Rolando Ciro Gómez, 2020. "Garantía de no repetición: una contribución a la justicia transicional," Books, Universidad Externado de Colombia, Facultad de Derecho, number 1183, htpr_v3_i.
    11. Martorana, Marco Ferdinando & Mazza, Isidoro, 2012. "The effect of social interaction and cultural consumption on voting turnout," MPRA Paper 43963, University Library of Munich, Germany.
    12. Júlia Mikolai & Hill Kulu, 2018. "Divorce, Separation, and Housing Changes: A Multiprocess Analysis of Longitudinal Data from England and Wales," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 83-106, February.
    13. Alex Michalos & Bruno Zumbo & Anita Hubley, 2000. "Health and the Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 51(3), pages 245-286, September.
    14. Kanabar, Ricky & Nandi, Alita & Perez, Victor, 2018. "Low income dynamics among ethnic minorities in Great Britain," ISER Working Paper Series 2018-06, Institute for Social and Economic Research.
    15. Davillas, A. & Jones, A.M., 2020. "The COVID-19 pandemic and its impact on inequality of opportunity in psychological distress in the UK," Health, Econometrics and Data Group (HEDG) Working Papers 20/11, HEDG, c/o Department of Economics, University of York.
    16. Richards, Lindsay & Paskov, Marii, 2016. "Social class, employment status and inequality in psychological well-being in the UK: Cross-sectional and fixed effects analyses over two decades," Social Science & Medicine, Elsevier, vol. 167(C), pages 45-53.
    17. Martin Binder & Alex Coad, 2011. ""I'm afraid I have bad news for you . . ." Estimating the impact of different health impairments on subjective well-being," Papers on Economics and Evolution 2011-15, Philipps University Marburg, Department of Geography.
    18. Neil T Coffee & Tony Lockwood & Peter Rossini & Theo Niyonsenga & Stanley McGreal, 2020. "Composition and context drivers of residential property location value as a socioeconomic status measure," Environment and Planning B, , vol. 47(5), pages 790-807, June.
    19. Neelu Seetaram & Sylvain Petit, 2012. "Panel data analysis in Tourism Research," Post-Print hal-01831529, HAL.
    20. Annamaria Bianchi & Silvia Biffignandi, 2019. "Social Indicators to Explain Response in Longitudinal Studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 931-957, February.

    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:pone00:0227029. 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.