IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0219149.html
   My bibliography  Save this article

How do cardiovascular diseases harm labor force participation? Evidence of nationally representative survey data from Japan, a super-aged society

Author

Listed:
  • Rong Fu
  • Haruko Noguchi
  • Shuhei Kaneko
  • Akira Kawamura
  • Cheolmin Kang
  • Hideto Takahashi
  • Nanako Tamiya

Abstract

Objective: To evaluate how cardiovascular diseases harm labor force participation (LFP) among the Japanese population and verify the validity of plasma biomarkers as instrumental variables of cardiovascular diseases after adjusting for a broad set of confounders including dietary intake. Design: Using nationally representative repeated cross-sectional surveys in Japan, the Comprehensive Survey of Living Conditions and National Health and Nutrition Survey, with plasma biomarkers as instrumental variables for quasi-randomization. Setting: Onset of cardiovascular diseases in those receiving regular treatment for hypertension, intracerebral hemorrhage, intracerebral infarction, angina pectoris, myocardial infarction, or other types of cardiovascular diseases. Participants: A total of 65,615 persons aged ≥ 20 years (35,037 women and 30,578 men) who completed a survey conducted every three years from 1995 through 2013. Main outcome measures: Respondent employment and weekly working hours during each survey year. Results: Cardiovascular diseases significantly and remarkably reduced the probability of working by 15.4% (95% CI: -30.6% to -0.2%). The reduction in working probability was detected for women only. Respondents aged ≥ 40 years were less likely to work once diagnosed and the reduction was enlarged for those aged ≥ 65 years, while those aged

Suggested Citation

  • Rong Fu & Haruko Noguchi & Shuhei Kaneko & Akira Kawamura & Cheolmin Kang & Hideto Takahashi & Nanako Tamiya, 2019. "How do cardiovascular diseases harm labor force participation? Evidence of nationally representative survey data from Japan, a super-aged society," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-16, July.
  • Handle: RePEc:plo:pone00:0219149
    DOI: 10.1371/journal.pone.0219149
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0219149
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0219149&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0219149?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. Zhang, Xiaohui & Zhao, Xueyan & Harris, Anthony, 2009. "Chronic diseases and labour force participation in Australia," Journal of Health Economics, Elsevier, vol. 28(1), pages 91-108, January.
    2. Winkleby, M.A. & Jatulis, D.E. & Frank, E. & Fortmann, S.P., 1992. "Socioeconomic status and health: How education, income, and occupation contribute to risk factors for cardiovascular disease," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 816-820.
    3. Richard Blundell & Antoine Bozio & Guy Laroque, 2013. "Extensive and Intensive Margins of Labour Supply: Work and Working Hours in the US, the UK and France," Fiscal Studies, Institute for Fiscal Studies, vol. 34(1), pages 1-29, March.
    4. Edward C. Norton & Euna Han, 2008. "Genetic information, obesity, and labor market outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1089-1104, September.
    5. von Hinke, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2016. "Genetic markers as instrumental variables," Journal of Health Economics, Elsevier, vol. 45(C), pages 131-148.
    6. Trevisan, Elisabetta & Zantomio, Francesca, 2016. "The impact of acute health shocks on the labour supply of older workers: Evidence from sixteen European countries," Labour Economics, Elsevier, vol. 43(C), pages 171-185.
    7. H. Shelton Brown & José A. Pagán & Elena Bastida, 2005. "The impact of diabetes on employment: genetic IVs in a bivariate probit," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 537-544, May.
    8. Martikainen, Pekka & Brunner, Eric & Marmot, Michael, 2003. "Socioeconomic differences in dietary patterns among middle-aged men and women," Social Science & Medicine, Elsevier, vol. 56(7), pages 1397-1410, April.
    9. Seuring, Till & Serneels, Pieter & Suhrcke, Marc, 2019. "The impact of diabetes on labour market outcomes in Mexico: A panel data and biomarker analysis," Social Science & Medicine, Elsevier, vol. 233(C), pages 252-261.
    10. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    11. Kagamimori, Sadanobu & Gaina, Alexandru & Nasermoaddeli, Ali, 2009. "Socioeconomic status and health in the Japanese population," Social Science & Medicine, Elsevier, vol. 68(12), pages 2152-2160, June.
    12. Wei-Hsin Yu, 2005. "Changes in women’s postmarital employment in Japan and Taiwan," Demography, Springer;Population Association of America (PAA), vol. 42(4), pages 693-717, November.
    13. Datta Gupta, Nabanita & Kleinjans, Kristin J. & Larsen, Mona, 2015. "The effect of a severe health shock on work behavior: Evidence from different health care regimes," Social Science & Medicine, Elsevier, vol. 136, pages 44-51.
    14. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    15. Hyunseung Kang & Anru Zhang & T. Tony Cai & Dylan S. Small, 2016. "Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 132-144, March.
    16. Kahn, Matthew E, 1998. "Health and Labor Market Performance: The Case of Diabetes," Journal of Labor Economics, University of Chicago Press, vol. 16(4), pages 878-899, October.
    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. Barban, Nicola & De Cao, Elisabetta & Oreffice, Sonia & Quintana-Domeque, Climent, 2021. "The effect of education on spousal education: A genetic approach," Labour Economics, Elsevier, vol. 71(C).
    2. Till Seuring & Olga Archangelidi & Marc Suhrcke, 2015. "The Economic Costs of Type 2 Diabetes: A Global Systematic Review," PharmacoEconomics, Springer, vol. 33(8), pages 811-831, August.
    3. Petri Böckerman & John Cawley & Jutta Viinikainen & Terho Lehtimäki & Suvi Rovio & Ilkka Seppälä & Jaakko Pehkonen & Olli Raitakari, 2019. "The effect of weight on labor market outcomes: An application of genetic instrumental variables," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 65-77, January.
    4. Nicola Barban & Elisabetta De Cao & Sonia Oreffice & Climent Quintana-Domeque, 2016. "Assortative Mating on Education: A Genetic Assessment," Working Papers 2016-034, Human Capital and Economic Opportunity Working Group.
    5. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2019. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1339-1350, July.
    6. Dixon, Padraig & Hollingworth, William & Harrison, Sean & Davies, Neil M. & Davey Smith, George, 2020. "Mendelian Randomization analysis of the causal effect of adiposity on hospital costs," Journal of Health Economics, Elsevier, vol. 70(C).
    7. Lucas Hafner & Harald Tauchmann & Ansgar Wübker, 2021. "Does moderate weight loss affect subjective health perception in obese individuals? Evidence from field experimental data," Empirical Economics, Springer, vol. 61(4), pages 2293-2333, October.
    8. Willage, Barton, 2018. "The effect of weight on mental health: New evidence using genetic IVs," Journal of Health Economics, Elsevier, vol. 57(C), pages 113-130.
    9. Joseph Sabia & Daniel Rees, 2015. "Body weight, mental health capital, and academic achievement," Review of Economics of the Household, Springer, vol. 13(3), pages 653-684, September.
    10. Abid A. Burki & Mushtaq A. Khan & Sobia Malik, 2015. "From Chronic Disease to Food Poverty: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(1), pages 17-33.
    11. Anthony Harris, 2009. "Diabetes, Cardiovascular Disease and Labour Force Participation in Australia: An Endogenous Multivariate Probit Analysis of Clinical Prevalence Data," The Economic Record, The Economic Society of Australia, vol. 85(271), pages 472-484, December.
    12. Kinge, Jonas Minet, 2015. "Body mass index and employment status: a new look," HERO Online Working Paper Series 2015:3, University of Oslo, Health Economics Research Programme.
    13. Lixin Cai & Changxin Cong, 2009. "Effects Of Health And Chronic Diseases On Labour Force Participation Of Older Working‐Age Australians," Australian Economic Papers, Wiley Blackwell, vol. 48(2), pages 166-182, June.
    14. Seuring, Till & Goryakin, Yevgeniy & Suhrcke, Marc, 2015. "The impact of diabetes on employment in Mexico," Economics & Human Biology, Elsevier, vol. 18(C), pages 85-100.
    15. Frank Windmeijer & Xiaoran Liang & Fernando P. Hartwig & Jack Bowden, 2021. "The confidence interval method for selecting valid instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(4), pages 752-776, September.
    16. Jonas Minet Kinge, 2017. "Waist circumference, body mass index, and employment outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(6), pages 787-799, July.
    17. Kinge, Jonas Minet, 2016. "Waist circumference, body mass index and employment outcomes," HERO Online Working Paper Series 2016:4, University of Oslo, Health Economics Research Programme.
    18. von Hinke Kessler Scholder, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2012. "The effect of fat mass on educational attainment: Examining the sensitivity to different identification strategies," Economics & Human Biology, Elsevier, vol. 10(4), pages 405-418.
    19. Annarita Macchioni Giaquinto & Andrew M. Jones & Nigel Rice & Francesca Zantomio, 2022. "Labor supply and informal care responses to health shocks within couples: Evidence from the UK," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2700-2720, December.
    20. Christina Hansen Edwards & Johan Håkon Bjørngaard & Jonas Minet Kinge, 2021. "The relationship between body mass index and income: Using genetic variants from HUNT as instrumental variables," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1933-1949, 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:pone00:0219149. 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.