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The short-term effect of BMI, alcohol use, and related chronic conditions on labour market outcomes: A time-lag panel analysis utilizing European SHARE dataset

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  • Andrea B Feigl
  • Yevgeniy Goryakin
  • Marion Devaux
  • Aliénor Lerouge
  • Sabine Vuik
  • Michele Cecchini

Abstract

Introduction: Non-communicable diseases (NCDs) like cancer, cardiovascular disease, and diabetes have spread at a remarkable pace in European countries over the past decades. Overweight/obesity and alcohol use are two leading risk factors contributing to both economic and epidemiological burden associated with NCDs. In OECD countries, the impact of indirect costs of obesity varies between 0.20% and 1.21% of GDP. Indirect costs of alcohol use range from 0.19% (Portugal) to 1.6% (Estonia) of GDP. Aim: To assess the longitudinal impact of alcohol use and high body-mass index (BMI) on labour market outcomes in the European region by modeling the direct effect of high BMI and alcohol use, and the effect via associated diseases. Methods: The impact of BMI, alcohol use, and associated diseases on employment likelihood, intent to retire early, days of absenteeism, and hours of work per week, were modelled via lagged Poisson and Zero-inflated Poisson regressions, adjusting for missingness via inverse probability weighting, as appropriate, using European SHARE data. Results: Controlling for other chronic conditions, being overweight increases employment likelihood among men, but not among women. Obesity decreased female, but not male, employment chances. All chronic conditions linked with high BMI negatively affected employment likelihood, and increased the intention to retire early significantly. Alcohol use positively affects employment likelihood in women at all drinking levels relative to lifetime abstainers, but only in moderate (not heavy) male drinkers. There is super-additionality of impact of NCDs on absenteeism and hours worked, presenting a key economic argument to tackle NCD prevention and compression of morbidity. Implications: NCD prevention is not just important for employment and hours worked, but also for employee morale, especially given increasing retirement age in Europe and globally.

Suggested Citation

  • Andrea B Feigl & Yevgeniy Goryakin & Marion Devaux & Aliénor Lerouge & Sabine Vuik & Michele Cecchini, 2019. "The short-term effect of BMI, alcohol use, and related chronic conditions on labour market outcomes: A time-lag panel analysis utilizing European SHARE dataset," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-14, March.
    • Handle: RePEc:plo:pone00:0211940
    DOI: 10.1371/journal.pone.0211940
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    References listed on IDEAS

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    1. Han, Euna & Norton, Edward C. & Powell, Lisa M., 2011. "Direct and indirect effects of body weight on adult wages," Economics & Human Biology, Elsevier, vol. 9(4), pages 381-392.
    2. Boden, Joseph M. & Lee, Jungeun Olivia & Horwood, L. John & Grest, Carolina Villamil & McLeod, Geraldine F.H., 2017. "Modelling possible causality in the associations between unemployment, cannabis use, and alcohol misuse," Social Science & Medicine, Elsevier, vol. 175(C), pages 127-134.
    3. Arrighi, Y. & Rapp, T. & Sirven, N., 2017. "The impact of economic conditions on the disablement process: A Markov transition approach using SHARE data," Health Policy, Elsevier, vol. 121(7), pages 778-785.
    4. Marion Devaux & Franco Sassi, 2015. "The Labour Market Impacts of Obesity, Smoking, Alcohol Use and Related Chronic Diseases," OECD Health Working Papers 86, OECD Publishing.
    5. Caliendo, Marco & Lee, Wang-Sheng, 2013. "Fat chance! Obesity and the transition from unemployment to employment," Economics & Human Biology, Elsevier, vol. 11(2), pages 121-133.
    6. Dave, Dhaval & Kaestner, Robert, 2002. "Alcohol taxes and labor market outcomes," Journal of Health Economics, Elsevier, vol. 21(3), pages 357-371, May.
    7. Donald S. Kenkel & Ping Wang, 1999. "Are Alcoholics in Bad Jobs?," NBER Chapters, in: The Economic Analysis of Substance Use and Abuse: An Integration of Econometric and Behavioral Economic Research, pages 251-278, National Bureau of Economic Research, Inc.
    8. Nijman, Theo & Verbeek, Marno, 1992. "Nonresponse in Panel Data: The Impact on Estimates of a Life Cycle Consumption Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(3), pages 243-257, July-Sept.
    9. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    10. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    11. Per Johansson & Mårten Palme, 2002. "Assessing the Effect of Public Policy on Worker Absenteeism," Journal of Human Resources, University of Wisconsin Press, vol. 37(2), pages 381-409.
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    Cited by:

    1. Ping Li & Xiaozhou Chen & Qi Yao, 2021. "Body Mass and Income: Gender and Occupational Differences," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    2. Muhammad Shahdaat Bin Sayeed & Grace Joshy & Ellie Paige & Emily Banks & Rosemary Korda, 2021. "Cardiovascular disease subtypes, physical disability and workforce participation: A cross-sectional study of 163,562 middle-aged Australians," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-16, April.
    3. A. Brugiavini & R. E. Buia & M. Kovacic & C. E. Orso, 2023. "Adverse childhood experiences and unhealthy lifestyles later in life: evidence from SHARE countries," Review of Economics of the Household, Springer, vol. 21(1), pages 1-18, March.

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