Skip to main content
Top
Published in: Diabetologia 7/2019

01-07-2019 | Article

The impact of diabetes on productivity in China

Authors: Thomas R. Hird, Ella Zomer, Alice Owen, Lei Chen, Zanfina Ademi, Dianna J. Magliano, Danny Liew

Published in: Diabetologia | Issue 7/2019

Login to get access

Abstract

Aims/hypothesis

Diabetes increases the risk of premature death and reduces work productivity. We estimated the impact of diabetes in China in terms of mortality, years of life lost, and productivity-adjusted life years (PALYs) lost in the Chinese population.

Methods

Life table modelling was used with simulated follow-up of those with diabetes in the Chinese population of working age (20–49 years in women and 20–59 years in men) until retirement age (50 years for women and 60 years for men). Data regarding the prevalence of diabetes, as well as excess mortality, labour force dropout and productivity loss attributable to diabetes, were taken from published sources. Models were constructed for the cohort with diabetes and repeated for the same cohort assuming that they had no diabetes. The differences in number of deaths, years of life lived and PALYs lived between the two models reflected the impact of diabetes. The WHO standard 3% annual discount rate was applied to years of life and PALYs lived.

Results

In 2017, an estimated 56.4 million people of working age in China (7.1%) had diabetes. With simulated follow-up until retirement, those with diabetes were predicted to experience an estimated 4.1 million more deaths, the loss of an additional 22.7 million years of life (3.7%) and the loss of an additional 75.8 million PALYs (15.1%). This was equivalent to an average of 1.3 PALYs lost per person with diabetes. Based on gross domestic product (GDP) per full-time worker in 2017, the loss in PALYs equated to a total of Chinese ¥17.4 trillion (US$2.6 trillion) in lost GDP owing to reduced productivity, with an average of ¥307,925 (US$45,959) lost per person with diabetes.

Conclusions/interpretation

Our study demonstrates the significant cumulative impact of diabetes on productivity across the working lifetime in the Chinese population, highlighting the potential economic benefits of diabetes prevention in the longer term.
Appendix
Available only for authorised users
Literature
1.
go back to reference International Diabetes Federation (2017) IDF Diabetes Atles (8th). International Diabetes Federation, Brussels, Belgium International Diabetes Federation (2017) IDF Diabetes Atles (8th). International Diabetes Federation, Brussels, Belgium
2.
go back to reference National Diabetes Research Group (1981) A mass survey of diabetes mellitus in a population of 300,000 in 14 provinces and municipalities in China. Zhonghua nei ke za zhi 20:678–683 National Diabetes Research Group (1981) A mass survey of diabetes mellitus in a population of 300,000 in 14 provinces and municipalities in China. Zhonghua nei ke za zhi 20:678–683
11.
go back to reference Sculpher M (2001) The role and estimation of productivity costs in economic evaluation. In: Drummond MF, McGuire A (eds) Economic Evaluation in Health Care: Merging Theory with Practice. Oxford University Press, Oxford, pp 94–112 Sculpher M (2001) The role and estimation of productivity costs in economic evaluation. In: Drummond MF, McGuire A (eds) Economic Evaluation in Health Care: Merging Theory with Practice. Oxford University Press, Oxford, pp 94–112
14.
go back to reference Rasmussen B, Sweeny K, Sheehan P (2016) The Impact of Wellness on Workforce Productivity in Global Markets. A Report to the U.S. Chamber of Commerce’s Global Initiative on Health and Economy. In. Victoria Institute of Strategic Economic Studies, Melbourne, Australia Rasmussen B, Sweeny K, Sheehan P (2016) The Impact of Wellness on Workforce Productivity in Global Markets. A Report to the U.S. Chamber of Commerce’s Global Initiative on Health and Economy. In. Victoria Institute of Strategic Economic Studies, Melbourne, Australia
19.
go back to reference Organisation for Economic Co-operation and Development (OECD) (2017) Pension At A Glance 2017: OECD and G20 Indicators. OECD Publishing, Paris Organisation for Economic Co-operation and Development (OECD) (2017) Pension At A Glance 2017: OECD and G20 Indicators. OECD Publishing, Paris
20.
go back to reference Feng Q, Yeung W-JJ, Wang Z, Zeng Y (2019) Age of retirement and human capital in an aging China, 2015–2050. Eur J Popul 35(1):29–62CrossRef Feng Q, Yeung W-JJ, Wang Z, Zeng Y (2019) Age of retirement and human capital in an aging China, 2015–2050. Eur J Popul 35(1):29–62CrossRef
22.
go back to reference National Bureau of Statistics of The People’s Republic of China (2017) China Statistical Yearbook 2017. Beijing, China National Bureau of Statistics of The People’s Republic of China (2017) China Statistical Yearbook 2017. Beijing, China
23.
go back to reference National Bureau of Statistics of the People’s Republic of China (2010) China Statistical Yearbook 2010. Beijing, China National Bureau of Statistics of the People’s Republic of China (2010) China Statistical Yearbook 2010. Beijing, China
24.
go back to reference United Nations Department of Economic and Social Affairs Population Division (2017) World Population Prospects: The 2017 Revision. United Nations, New York United Nations Department of Economic and Social Affairs Population Division (2017) World Population Prospects: The 2017 Revision. United Nations, New York
26.
go back to reference International Labour Office (2017) ILO labour force estimates and projections. International Labour Office, Geneve, Switzerland, pp 1990–2030 International Labour Office (2017) ILO labour force estimates and projections. International Labour Office, Geneve, Switzerland, pp 1990–2030
29.
go back to reference Organisation for Economic Co-operation and Development (OECD) (2018) OECD Compendium of Productivity Indicators 2018. OECD Publishing, Paris Organisation for Economic Co-operation and Development (OECD) (2018) OECD Compendium of Productivity Indicators 2018. OECD Publishing, Paris
30.
go back to reference Organisation for Economic Co-operation and Development (OECD) (2018) OECD Economic Outlook: Statistics and Projections: Long-term baseline projections, Real GDP long-term forecast (indicator). OECD publishing, Paris Organisation for Economic Co-operation and Development (OECD) (2018) OECD Economic Outlook: Statistics and Projections: Long-term baseline projections, Real GDP long-term forecast (indicator). OECD publishing, Paris
31.
go back to reference The World Bank (2018) World Development indicators, 2017. The World Bank, Washington DC The World Bank (2018) World Development indicators, 2017. The World Bank, Washington DC
Metadata
Title
The impact of diabetes on productivity in China
Authors
Thomas R. Hird
Ella Zomer
Alice Owen
Lei Chen
Zanfina Ademi
Dianna J. Magliano
Danny Liew
Publication date
01-07-2019
Publisher
Springer Berlin Heidelberg
Published in
Diabetologia / Issue 7/2019
Print ISSN: 0012-186X
Electronic ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-019-4875-4

Other articles of this Issue 7/2019

Diabetologia 7/2019 Go to the issue

Up Front

Up front