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, Shanshan Li
{"title":"不适宜的温度导致过早死亡,从而给劳动生产率带来负担:一项多国研究","authors":"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, Shanshan Li","doi":"10.1016/j.envint.2024.109096","DOIUrl":null,"url":null,"abstract":"<h3>Background</h3>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.<h3>Methods</h3>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.<h3>Results</h3>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.<h3>Conclusion</h3>This multi-country study highlights that non-optimum temperatures led to a considerable labour productivity loss and socioeconomically disadvantaged communities experience greater losses.","PeriodicalId":308,"journal":{"name":"Environment International","volume":null,"pages":null},"PeriodicalIF":10.3000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-optimum temperatures led to labour productivity burden by causing premature deaths: A multi-country study\",\"authors\":\"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, Shanshan Li\",\"doi\":\"10.1016/j.envint.2024.109096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Background</h3>Non-optimum temperatures are associated with a considerable mortality burden. 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Non-optimum temperatures led to labour productivity burden by causing premature deaths: A multi-country study
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.
期刊介绍:
Environmental Health publishes manuscripts focusing on critical aspects of environmental and occupational medicine, including studies in toxicology and epidemiology, to illuminate the human health implications of exposure to environmental hazards. The journal adopts an open-access model and practices open peer review.
It caters to scientists and practitioners across all environmental science domains, directly or indirectly impacting human health and well-being. With a commitment to enhancing the prevention of environmentally-related health risks, Environmental Health serves as a public health journal for the community and scientists engaged in matters of public health significance concerning the environment.