| Autor: |
Bo Wen, Zanfina Ademi, Yao Wu, Rongbin Xu, Pei Yu, Yanming Liu, Wenhua Yu, Tingting Ye, Wenzhong Huang, Zhengyu Yang, Yiwen Zhang, Yuxi Zhang, Ke Ju, Simon Hales, Eric Lavigne, Paulo Hilario Nascimento Sadiva, Micheline de Sousa Zanotti Stagliorio Coêlho, Patricia Matus, Ho Kim, Kraichat Tantrakarnapa, Wissanupong Kliengchuay, Anthony Capon, Peng Bi, Bin Jalaludin, Wenbiao Hu, Donna Green, Ying Zhang, Julie Arblaster, Dung Phung, Yuming Guo, Shanshan Li |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Environment International, Vol 193, Iss , Pp 109096- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
0160-4120 |
| DOI: |
10.1016/j.envint.2024.109096 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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