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Seasonal peak and the role of local weather in schizophrenia occurrence: A global analysis of epidemiological evidence.
Hu, Jihong; Feng, Yufan; Su, Hong; Xu, Zhiwei; Ho, Hung Chak; Zheng, Hao; Zhang, Wenyi; Tao, Junwen; Wu, Keyu; Hossain, Mohammad Zahid; Zhang, Yunquan; Hu, Kejia; Huang, Cunrui; Cheng, Jian.
Afiliação
  • Hu J; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
  • Feng Y; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
  • Su H; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
  • Xu Z; School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.
  • Ho HC; Department of Public and International Affairs, City University of Hong Kong, Hong Kong, China.
  • Zheng H; Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Zhang W; Chinese PLA Center for Disease Control and Prevention, Beijing, China.
  • Tao J; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
  • Wu K; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
  • Hossain MZ; International Centre for Diarrhoeal Disease Research, Bangladesh (icddr, b), Dhaka, Bangladesh.
  • Zhang Y; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China.
  • Hu K; Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, China.
  • Huang C; Vanke School of Public Health, Tsinghua University, Beijing, China. Electronic address: huangcunrui@tsinghua.edu.cn.
  • Cheng J; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China. Electronic address: jiancheng_cchh@163.com.
Sci Total Environ ; 899: 165658, 2023 Nov 15.
Article em En | MEDLINE | ID: mdl-37478950
ABSTRACT

BACKGROUND:

Many studies have shown that the onset of schizophrenia peaked in certain months within a year and the local weather conditions could affect the morbidity risk of schizophrenia. This study aimed to conduct a systematic analysis of schizophrenia seasonality in different countries of the world and to explore the effects of weather factors globally.

METHODS:

We searched three databases (PubMed, Web of Science, and China National Knowledge Infrastructure) for eligible studies published up to September 2022. Schizophrenia seasonality was compared between hemispheres and within China. A meta-analysis was conducted to pool excess risk (ER, absolute percentage increase in risk) of the onset of schizophrenia associated with various weather factors including temperature (an increase or decrease of temperature as a reflection of high or low temperature; heatwave; temperature variation), precipitation, etc.

RESULTS:

We identified 84 relevant articles from 22 countries, mainly in China. The seasonality analysis found that the onset of schizophrenia mostly peaked in the cold season in the southern hemisphere but in the warm season in the northern hemisphere. Interestingly in China, schizophrenia seasonality presented two peaks, respectively in the late cold and warm seasons. The meta-analysis further revealed an increased risk of schizophrenia after short-term exposure to high temperature [ER% 0.45 % (95 % confidence interval (CI) 0.14 % to 0.76 %)], low temperature [ER% 0.52 % (95%CI 0.29 % to 0.75 %)], heatwave [ER% 7.26 % (95%CI 4.45 % to 10.14 %)], temperature variation [ER% 1.02 % (95%CI 0.55 % to 1.50 %)], extreme precipitation [ER% 3.96 % (95%CI 2.29 % to 5.67 %)]. The effect of other weather factors such as sunlight on schizophrenia was scarcely investigated with inconsistent findings.

CONCLUSION:

This study provided evidence of intra- and inter-country variations in schizophrenia seasonality, especially the double-peak seasons in China. Exposure to local weather conditions mainly temperature changes and precipitation could affect the onset risk of schizophrenia.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esquizofrenia Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esquizofrenia Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China