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

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    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.
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