IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0240240.html
   My bibliography  Save this article

Impact of socioeconomic- and lifestyle-related risk factors on poor mental health conditions: A nationwide longitudinal 5-wave panel study in Japan

Author

Listed:
  • Miwako Nagasu
  • Isamu Yamamoto

Abstract

The association of socioeconomic status and lifestyle behaviours on mental health appears well-established in the literature, as several studies report that better socioeconomic status such as higher levels of disposable income and employment as well as practising healthy lifestyles can enhance mental well-being. However, the reliance on cross-sectional correlations and lack of adequate statistical controls are possible limitations. This study aims to add the evidence of longitudinal association to the literature by using Japanese representative longitudinal household panel data. We employed panel data analytical techniques such as the random-effects conditional logistic regression (RE-CLR) and the fixed-effects conditional logistic regression (FE-CLR) models with possible time variant confounders being controlled. Our sample was comprised of 14,717 observations of 3,501 individuals aged 22–59 years for five waves of the Japanese Household Panel Survey. We confirmed many of the factors associated with mental health reported in existing studies by analysing cross-sectional data. These significant associations are also longitudinal (within) associations estimated by the FE-CLR models. Such factors include unemployment, low household income, short nightly sleeping duration, and lack of exercise. However, we also found that several factors such as disposable income, living alone, and drinking habits are not significantly associated with mental health in the FE-CRL models. The results imply the reverse causality that poor mental health conditions cause lower disposal income, possibly due to the inability to exhibit higher productivity, but an increase in disposal income would not necessarily improve mental health conditions. In this case, aggressive policy interventions to increase the disposal income of people of lower socioeconomic backgrounds would not necessarily be effective to minimize health inequalities.

Suggested Citation

  • Miwako Nagasu & Isamu Yamamoto, 2020. "Impact of socioeconomic- and lifestyle-related risk factors on poor mental health conditions: A nationwide longitudinal 5-wave panel study in Japan," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.
    • Handle: RePEc:plo:pone00:0240240
    DOI: 10.1371/journal.pone.0240240
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240240
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0240240&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0240240?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. Lynch, J. W. & Kaplan, G. A. & Salonen, J. T., 1997. "Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse," Social Science & Medicine, Elsevier, vol. 44(6), pages 809-819, March.
    2. Murakami, Keiko & Hashimoto, Hideki & Lee, Jung Su & Kawakubo, Kiyoshi & Mori, Katsumi & Akabayashi, Akira, 2011. "Distinct impact of education and income on habitual exercise: A cross-sectional analysis in a rural city in Japan," Social Science & Medicine, Elsevier, vol. 73(12), pages 1683-1688.
    3. Joseph L Dieleman & Tara Templin, 2014. "Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-17, October.
    4. Macintyre, Sally, 1997. "The black report and beyond what are the issues?," Social Science & Medicine, Elsevier, vol. 44(6), pages 723-745, March.
    5. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    6. Alfred K. Mukong & Corné van Walbeek & Hana Ross, "undated". "Lifestyle and Income-related Inequality in Health in South Africa," Working Papers 677, Economic Research Southern Africa.
    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. Damien Rousselière, 2019. "A Flexible Approach to Age Dependence in Organizational Mortality: Comparing the Life Duration for Cooperative and Non-Cooperative Enterprises Using a Bayesian Generalized Additive Discrete Time Survi," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 829-855, December.
    2. Alfred K. Mukong & Ernest N. Tingum, 2018. "The Demand for Cigarettes: New Evidence from South Africa," Working Papers 745, Economic Research Southern Africa.
    3. Naeem Tabassum & Satwinder Singh, 2020. "Corporate Governance and Organisational Performance," Springer Books, Springer, number 978-3-030-48527-6, November.
    4. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    5. José-Ignacio Antón & Francisco-Javier Braña & Rafael Muñoz de Bustillo, 2016. "An analysis of the cost of disability across Europe using the standard of living approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(3), pages 281-306, August.
    6. Gnangnon, Sèna Kimm, 2023. "Effect of Economic Uncertainty on Remittances Flows from Developed Countries," EconStor Preprints 279480, ZBW - Leibniz Information Centre for Economics.
    7. Lohan, Maria, 2007. "How might we understand men's health better? Integrating explanations from critical studies on men and inequalities in health," Social Science & Medicine, Elsevier, vol. 65(3), pages 493-504, August.
    8. Adriaan Kalwij & Rob Alessie & Marike Knoef, 2013. "The Association Between Individual Income and Remaining Life Expectancy at the Age of 65 in the Netherlands," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 181-206, February.
    9. Qing Wang & Jay J. Shen, 2016. "Childhood Health Status and Adulthood Cardiovascular Disease Morbidity in Rural China: Are They Related?," IJERPH, MDPI, vol. 13(6), pages 1-10, June.
    10. Thomas Korankye & Charlene M. Kalenkoski, 2021. "The Effect of Households’ Student Debt on Life Satisfaction," Journal of Family and Economic Issues, Springer, vol. 42(4), pages 757-772, December.
    11. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
    12. McCartney, Gerry & Collins, Chik & Mackenzie, Mhairi, 2013. "What (or who) causes health inequalities: Theories, evidence and implications?," Health Policy, Elsevier, vol. 113(3), pages 221-227.
    13. Averi Chakrabarti & Karen A Grépin & Stéphane Helleringer, 2019. "The impact of supplementary immunization activities on routine vaccination coverage: An instrumental variable analysis in five low-income countries," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-11, February.
    14. Harold Alderman & John Hoddinott & Bill Kinsey, 2006. "Long term consequences of early childhood malnutrition," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 450-474, July.
    15. Huh, Yesol & Kim, You Suk, 2023. "Cheapest-to-deliver pricing, optimal MBS securitization, and welfare implications," Journal of Financial Economics, Elsevier, vol. 150(1), pages 68-93.
    16. Fan Li & Prashant Loyalka & Hongmei Yi & Yaojiang Shi & Natalie Johnson & Scott Rozelle, 2016. "Ability tracking and social capital in China's rural secondary school system," Working Papers of LICOS - Centre for Institutions and Economic Performance 544339, KU Leuven, Faculty of Economics and Business (FEB), LICOS - Centre for Institutions and Economic Performance.
    17. Ji Yan & Sally Brocksen, 2013. "Adolescent risk perception, substance use, and educational attainment," Journal of Risk Research, Taylor & Francis Journals, vol. 16(8), pages 1037-1055, September.
    18. Sènakpon Fidèle A. Dedehouanou & Luca Tiberti & Hilaire G. Houeninvo & Djohodo Inès Monwanou, 2019. "Working while studying: Employment premium or penalty for youth in Benin?," Working Papers PMMA 2019-03, PEP-PMMA.
    19. Mengyuan Zhou, 2022. "Does the Source of Inheritance Matter in Bequest Attitudes? Evidence from Japan," Journal of Family and Economic Issues, Springer, vol. 43(4), pages 867-887, December.
    20. Sandra Müllbacher & Wolfgang Nagl, 2017. "Labour supply in Austria: an assessment of recent developments and the effects of a tax reform," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 465-486, 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:pone00:0240240. 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.