IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p5871-d813680.html
   My bibliography  Save this article

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

Author

Listed:
  • Chun-Liang Zhou

    (Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
    These authors contributed equally to this work.)

  • Ling-Shuang Lv

    (Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
    These authors contributed equally to this work.)

  • 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)

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.

Suggested Citation

  • 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 & Chan Lu, 2022. "Temperature Change between Neighboring Days Contributes to Years of Life Lost per Death from Respiratory Disease: A Multicounty Analysis in Central China," IJERPH, MDPI, vol. 19(10), pages 1-10, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5871-:d:813680
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/5871/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/10/5871/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ling-Shuang Lv & Dong-Hui Jin & Wen-Jun Ma & Tao Liu & Yi-Qing Xu & Xing-E Zhang & Chun-Liang Zhou, 2020. "The Impact of Non-optimum Ambient Temperature on Years of Life Lost: A Multi-county Observational Study in Hunan, China," IJERPH, MDPI, vol. 17(8), pages 1-12, April.
    2. Gasparrini, Antonio, 2011. "Distributed Lag Linear and Non-Linear Models in R: The Package dlnm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i08).
    3. Cunrui Huang & Adrian G. Barnett & Xiaoming Wang & Shilu Tong, 2012. "The impact of temperature on years of life lost in Brisbane, Australia," Nature Climate Change, Nature, vol. 2(4), pages 265-270, April.
    4. Hicham Achebak & Daniel Devolder & Vijendra Ingole & Joan Ballester, 2020. "Reversal of the seasonality of temperature-attributable mortality from respiratory diseases in Spain," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yunquan Zhang & Chuanhua Yu & Jin Yang & Lan Zhang & Fangfang Cui, 2017. "Diurnal Temperature Range in Relation to Daily Mortality and Years of Life Lost in Wuhan, China," IJERPH, MDPI, vol. 14(8), pages 1-11, August.
    2. Jiangtao Liu & Yueling Ma & Yuhong Wang & Sheng Li & Shuyu Liu & Xiaotao He & Lanyu Li & Lei Guo & Jingping Niu & Bin Luo & Kai Zhang, 2019. "The Impact of Cold and Heat on Years of Life Lost in a Northwestern Chinese City with Temperate Continental Climate," IJERPH, MDPI, vol. 16(19), pages 1-13, September.
    3. Ling-Shuang Lv & Dong-Hui Jin & Wen-Jun Ma & Tao Liu & Yi-Qing Xu & Xing-E Zhang & Chun-Liang Zhou, 2020. "The Impact of Non-optimum Ambient Temperature on Years of Life Lost: A Multi-county Observational Study in Hunan, China," IJERPH, MDPI, vol. 17(8), pages 1-12, April.
    4. Martina S. Ragettli & Apolline Saucy & Benjamin Flückiger & Danielle Vienneau & Kees de Hoogh & Ana M. Vicedo-Cabrera & Christian Schindler & Martin Röösli, 2023. "Explorative Assessment of the Temperature–Mortality Association to Support Health-Based Heat-Warning Thresholds: A National Case-Crossover Study in Switzerland," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    5. Kingsley Katleho Mokoena & Crystal Jane Ethan & Yan Yu & Asenso Theophilus Quachie, 2020. "Interaction Effects of Air Pollution and Climatic Factors on Circulatory and Respiratory Mortality in Xi’an, China between 2014 and 2016," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    6. Iara da Silva & Caroline Fernanda Hei Wikuats & Elizabeth Mie Hashimoto & Leila Droprinchinski Martins, 2022. "Effects of Environmental and Socioeconomic Inequalities on Health Outcomes: A Multi-Region Time-Series Study," IJERPH, MDPI, vol. 19(24), pages 1-22, December.
    7. Michael Tong & Berhanu Wondmagegn & Jianjun Xiang & Alana Hansen & Keith Dear & Dino Pisaniello & Blesson Varghese & Jianguo Xiao & Le Jian & Benjamin Scalley & Monika Nitschke & John Nairn & Hilary B, 2022. "Hospitalization Costs of Respiratory Diseases Attributable to Temperature in Australia and Projections for Future Costs in the 2030s and 2050s under Climate Change," IJERPH, MDPI, vol. 19(15), pages 1-16, August.
    8. Kai Luo & Wenjing Li & Ruiming Zhang & Runkui Li & Qun Xu & Yang Cao, 2016. "Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors," IJERPH, MDPI, vol. 13(11), pages 1-17, November.
    9. Miller, Reid & Golab, Lukasz & Rosenberg, Catherine, 2017. "Modelling weather effects for impact analysis of residential time-of-use electricity pricing," Energy Policy, Elsevier, vol. 105(C), pages 534-546.
    10. Yunfei Cheng & Tatiana Ermolieva & Gui-Ying Cao & Xiaoying Zheng, 2018. "Health Impacts of Exposure to Gaseous Pollutants and Particulate Matter in Beijing—A Non-Linear Analysis Based on the New Evidence," IJERPH, MDPI, vol. 15(9), pages 1-12, September.
    11. Malebo Sephule Makunyane & Hannes Rautenbach & Neville Sweijd & Joel Botai & Janine Wichmann, 2023. "Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    12. Lee, Won Sang & Sohn, So Young, 2018. "Effects of standardization on the evolution of information and communications technology," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 308-317.
    13. Bonnie R. Joubert & Marianthi-Anna Kioumourtzoglou & Toccara Chamberlain & Hua Yun Chen & Chris Gennings & Mary E. Turyk & Marie Lynn Miranda & Thomas F. Webster & Katherine B. Ensor & David B. Dunson, 2022. "Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    14. Yao Xiao & Chengzhen Meng & Suli Huang & Yanran Duan & Gang Liu & Shuyuan Yu & Ji Peng & Jinquan Cheng & Ping Yin, 2021. "Short-Term Effect of Temperature Change on Non-Accidental Mortality in Shenzhen, China," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
    15. Xerxes T. Seposo & Tran Ngoc Dang & Yasushi Honda, 2015. "Evaluating the Effects of Temperature on Mortality in Manila City (Philippines) from 2006–2010 Using a Distributed Lag Nonlinear Model," IJERPH, MDPI, vol. 12(6), pages 1-16, June.
    16. Elisaveta P. Petkova & Radley M. Horton & Daniel A. Bader & Patrick L. Kinney, 2013. "Projected Heat-Related Mortality in the U.S. Urban Northeast," IJERPH, MDPI, vol. 10(12), pages 1-14, December.
    17. Ghasem Toloo & Gerard FitzGerald & Peter Aitken & Kenneth Verrall & Shilu Tong, 2013. "Evaluating the effectiveness of heat warning systems: systematic review of epidemiological evidence," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(5), pages 667-681, October.
    18. Mieczysław Szyszkowicz, 2022. "Concentration–Response Functions as an Essence of the Results from Lags," IJERPH, MDPI, vol. 19(13), pages 1-11, July.
    19. Lu Wang, 2023. "Mediating Effect of Heat Waves between Ecosystem Services and Heat-Related Mortality of Characteristic Populations: Evidence from Jiangsu Province, China," IJERPH, MDPI, vol. 20(3), pages 1-17, February.
    20. Theophilus I. Emeto & Oyelola A. Adegboye & Reza A. Rumi & Mahboob-Ul I. Khan & Majeed Adegboye & Wasif A. Khan & Mahmudur Rahman & Peter K. Streatfield & Kazi M. Rahman, 2020. "Disparities in Risks of Malaria Associated with Climatic Variability among Women, Children and Elderly in the Chittagong Hill Tracts of Bangladesh," IJERPH, MDPI, vol. 17(24), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5871-:d:813680. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.