Non-optimum temperatures led to labour productivity burden by causing premature deaths: A multi-country study
Issued Date
2024-11-01
Resource Type
ISSN
01604120
eISSN
18736750
Scopus ID
2-s2.0-85207875433
Journal Title
Environment International
Volume
193
Rights Holder(s)
SCOPUS
Bibliographic Citation
Environment International Vol.193 (2024)
Suggested Citation
Wen B., Ademi Z., Wu Y., Xu R., Yu P., Liu Y., Yu W., Ye T., Huang W., Yang Z., Zhang Y., Zhang Y., Ju K., Hales S., Lavigne E., Hilario Nascimento Sadiva P., de Sousa Zanotti Stagliorio Coêlho M., Matus P., Kim H., Tantrakarnapa K., Kliengchuay W., Capon A., Bi P., Jalaludin B., Hu W., Green D., Zhang Y., Arblaster J., Phung D., Guo Y., Li S. Non-optimum temperatures led to labour productivity burden by causing premature deaths: A multi-country study. Environment International Vol.193 (2024). doi:10.1016/j.envint.2024.109096 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/101958
Title
Non-optimum temperatures led to labour productivity burden by causing premature deaths: A multi-country study
Author(s)
Wen B.
Ademi Z.
Wu Y.
Xu R.
Yu P.
Liu Y.
Yu W.
Ye T.
Huang W.
Yang Z.
Zhang Y.
Zhang Y.
Ju K.
Hales S.
Lavigne E.
Hilario Nascimento Sadiva P.
de Sousa Zanotti Stagliorio Coêlho M.
Matus P.
Kim H.
Tantrakarnapa K.
Kliengchuay W.
Capon A.
Bi P.
Jalaludin B.
Hu W.
Green D.
Zhang Y.
Arblaster J.
Phung D.
Guo Y.
Li S.
Ademi Z.
Wu Y.
Xu R.
Yu P.
Liu Y.
Yu W.
Ye T.
Huang W.
Yang Z.
Zhang Y.
Zhang Y.
Ju K.
Hales S.
Lavigne E.
Hilario Nascimento Sadiva P.
de Sousa Zanotti Stagliorio Coêlho M.
Matus P.
Kim H.
Tantrakarnapa K.
Kliengchuay W.
Capon A.
Bi P.
Jalaludin B.
Hu W.
Green D.
Zhang Y.
Arblaster J.
Phung D.
Guo Y.
Li S.
Author's Affiliation
Faculty of Tropical Medicine, Mahidol University
Faculty of Health and Medical Sciences
The University of Sydney School of Public Health
The University of Queensland
University of Ottawa
UNSW Sydney
The University of Sydney
Monash University
Health Canada
University of Otago
Seoul National University
Universidad de los Andes, Chile
Queensland University of Technology
Universidade de São Paulo
Faculty of Health and Medical Sciences
The University of Sydney School of Public Health
The University of Queensland
University of Ottawa
UNSW Sydney
The University of Sydney
Monash University
Health Canada
University of Otago
Seoul National University
Universidad de los Andes, Chile
Queensland University of Technology
Universidade de São Paulo
Corresponding Author(s)
Other Contributor(s)
Abstract
Background: Non-optimum temperatures are associated with a considerable mortality burden. However, there is a lack of evaluation of labour productivity losses related to premature deaths due to non-optimum temperatures. This study aimed to quantify the labour productivity burden associated with premature deaths related to non-optimum temperatures and explore the potential socio-economic vulnerabilities. Methods: Daily all-cause mortality data were collected from 1,066 locations in 7 countries (Australia, Brazil, Canada, Chile, New Zealand, South Korea, and Thailand). Productivity-Adjusted Life-Year (PALY) loss due to each premature death was calculated to measure the labour productivity loss, by multiplying the years of working life lost by the proportion of the equivalent full-time (EFT) workers. A two-stage times series design and the generalized linear regression model with a quasi-Poisson family were applied to assess the association between non-optimum temperatures and the PALY loss due to premature deaths. Results: We observed a U-shaped relationship between temperature and PALY lost due to premature mortality. We estimated that 2.51% (95% eCI: 2.05%, 2.92%) of PALY losses could be attributed to non-optimal temperatures, with cold-related deaths contributing 1.26% (95% eCI: 0.94%, 1.54%) and heat-related deaths contributing 1.25% (95% eCI: 0.96%, 1.51%). Cold temperature contributed to the most PALYs lost in those aged 45–54 and 55–64, while heat-related losses predominated among the 15–44 age group. We also observed that the fractions of PALY lost attributed to extreme heat were positively associated with the relative deprivation index, while negatively associated with GDP per capita. Conclusion: This multi-country study highlights that non-optimum temperatures led to a considerable labour productivity loss and socioeconomically disadvantaged communities experience greater losses.