Temperature Change between Neighboring Days Contributes to Years of Life Lost per Death from Respiratory Disease: A Multicounty Analysis in Central China

Chun-Liang Zhou, Ling-Shuang Lv, Dong-Hui Jin, Yi-Jun Xie, Wen-Jun Ma, Jian-Xiong Hu, Chun-E Wang, Yi-Qing Xu, Xing-E Zhang and Chan Lu
Additional contact information
Chun-Liang Zhou: Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
Ling-Shuang Lv: Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
Dong-Hui Jin: Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
Yi-Jun Xie: Hunan Provincial Climate Center, Changsha 410007, China
Wen-Jun Ma: School of Medicine, Jinan University, Guangzhou 510632, China
Jian-Xiong Hu: Guangdong Provincial Institute of Public Health, Guangzhou 511430, China
Chun-E Wang: Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
Yi-Qing Xu: Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
Xing-E Zhang: Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
Chan Lu: XiangYa School of Public Health, Central South University, Changsha 410078, China

IJERPH, 2022, vol. 19, issue 10, 1-10

Abstract: Background: Many epidemiological studies have recently assessed respiratory mortality attributable to ambient temperatures. However, the associations between temperature change between neighboring days and years of life lost are insufficiently studied. Therefore, we assessed the attributable risk of temperature change between neighboring days on life loss due to respiratory disease. Methods: We obtained daily mortality and weather data and calculated crude rates of years of life lost for 70 counties in Hunan Province, Central China, from 2013 to 2017. A time-series design with distributed lag nonlinear model and multivariate meta-regression was used to pool the relationships between temperature change between neighboring days and rates of years of life lost. Then, we calculated the temperature change between neighboring days related to average life loss per death from respiratory disease. Results: The total respiratory disease death was 173,252 during the study period. The association between temperature change and years of life lost rates showed a w-shape. The life loss per death attributable to temperature change between neighboring days was 2.29 (95% CI: 0.46–4.11) years, out of which 1.16 (95% CI: 0.31–2.01) years were attributable to moderately high-temperature change between neighboring days, and 0.99 (95% CI: 0.19–1.79) years were attributable to moderately low-temperature change between neighboring days. The temperature change between neighboring days related to life loss per respiratory disease death for females (2.58 years, 95% CI: 0.22–4.93) and the younger group (2.97 years, 95% CI: −1.51–7.44) was higher than that for males (2.21 years, 95% CI: 0.26–4.16) and the elderly group (1.96 years, 95% CI: 0.85–3.08). An average of 1.79 (95% CI: 0.18–3.41) life loss per respiratory disease death was related to non-optimal ambient temperature. Conclusions: The results indicated that more attention should be given to temperature change, and more public health policies should be implemented to protect public health.

Keywords: respiratory diseases; ambient temperature; temperature change between neighboring days; years of life lost (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/10/5871/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/10/5871/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:10:p:5871-:d:813680

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().