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Influence of Heat Waves on Daily Hospital Visits for Mental Illness in Jinan, China—A Case-Crossover Study

Author

Listed:
  • Xuena Liu

    (Department of Health Statistics, School of Public Health, Taishan Medical University, Taian 271016, China)

  • Hui Liu

    (Office of Asset and Laboratory Management, Shandong Yingcai University, Jinan 250104, China)

  • Hua Fan

    (Department of Health Statistics, School of Public Health, Taishan Medical University, Taian 271016, China)

  • Yizhi Liu

    (Department of Health Statistics, School of Public Health, Taishan Medical University, Taian 271016, China)

  • Guoyong Ding

    (Department of Health Statistics, School of Public Health, Taishan Medical University, Taian 271016, China
    Department of Epidemiology, School of Public Health, Taishan Medical University, Taian 271016, China)

Abstract

Background: Given that more frequent and intensive extreme heat events have been projected based on climate change modeling, it is of significance to have a better understanding of the association between heat waves and mental illnesses. This study aimed to explore the effects of heat waves on daily hospital visits for mental illness in the summer of 2010 in Jinan, China. Methods: A symmetric bidirectional case-crossover study was firstly conducted to determine the relationship between daily hospital visits for mental illness and heat waves in Jinan in 2010. Multifactor logistic regression analysis was then used to analyze the influencing factors for daily hospital visits for mental illness during the heat wave periods. Results: Multivariable analysis showed that the heat wave events were associated with an increased risk of mental illness. The largest odds ratios (ORs) of the heat waves for daily hospital visits for mental illness were 2.231 (95% confidence interval (CI): 1.436–3.466) at a 3-day lag, 2.836 (95% CI: 1.776–4.525) at a 2-day lag, 3.178 (95% CI: 1.995–5.064) at a 3-day lag, and 2.988 (95% CI: 2.158–4.140) at a 2-day lag for the first, second, third, and fourth heat waves, respectively. The elderly, urban residents, outdoor workers, and singles may be high-risk populations for developing heat wave-related mental illness. Conclusions: Our study has supported that there is a positive association between heat waves and hospital visits for mental illness in the study site. Age, home address, occupation, and marital status were associated with daily hospital visits for mental illness during the heat wave periods.

Suggested Citation

  • Xuena Liu & Hui Liu & Hua Fan & Yizhi Liu & Guoyong Ding, 2018. "Influence of Heat Waves on Daily Hospital Visits for Mental Illness in Jinan, China—A Case-Crossover Study," IJERPH, MDPI, vol. 16(1), pages 1-11, December.
  • Handle: RePEc:gam:jijerp:v:16:y:2018:i:1:p:87-:d:194015
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    References listed on IDEAS

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    1. Helen Berry & Kathryn Bowen & Tord Kjellstrom, 2010. "Climate change and mental health: a causal pathways framework," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(2), pages 123-132, April.
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    Cited by:

    1. Heather Aydin-Ghormoz & Temilayo Adeyeye & Neil Muscatiello & Seema Nayak & Sanghamitra Savadatti & Tabassum Z. Insaf, 2022. "Identifying Risk Factors for Hospitalization with Behavioral Health Disorders and Concurrent Temperature-Related Illness in New York State," IJERPH, MDPI, vol. 19(24), pages 1-15, December.
    2. Julia Feriato Corvetto & Ammir Yacoub Helou & Peter Dambach & Thomas Müller & Rainer Sauerborn, 2023. "A Systematic Literature Review of the Impact of Climate Change on the Global Demand for Psychiatric Services," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    3. Fiona Charlson & Suhailah Ali & Tarik Benmarhnia & Madeleine Pearl & Alessandro Massazza & Jura Augustinavicius & James G. Scott, 2021. "Climate Change and Mental Health: A Scoping Review," IJERPH, MDPI, vol. 18(9), pages 1-38, April.
    4. Jinling Quan, 2019. "Multi-Temporal Effects of Urban Forms and Functions on Urban Heat Islands Based on Local Climate Zone Classification," IJERPH, MDPI, vol. 16(12), pages 1-35, June.

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