Exposure-lag-response association between sunlight and schizophrenia in Ningbo, China

Gu, Shaohua; Huang, Ruixue; Yang, Jun; Sun, Shiqiang; Xu, Yiner; Zhang, Rongxiang; Wang, Yunfeng; Lü, Beibei; He, Tianfeng; Wang, Aihong; Bian, Guolin; Wang, Qunli

doi:10.1016/j.envpol.2018.12.023

Cited by 29 publications

(20 citation statements)

References 48 publications

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“…This hypothesis is strengthened by findings revealing hospitalization peaks during periods of lower temperature and shorter photoperiod: For the population of Australia, hospitalization peaks due to schizophrenia for July/August-representing winter and thus the shortest photoperiod per day on the southern hemisphere-were reported [18,22]. Recent studies from China also published agreeing results revealing significantly higher rates of hospitalizations in patients with schizophrenia following shorter photoperiods [17,35]. As Austria is situated in the northern hemisphere, the photoperiod continuously shortens from July onwards until the end of December.…”

Section: Discussionmentioning

confidence: 89%

“…As no conclusive result has been reported yet, a multitude of possible factors might be associated with the observed hospitalization patterns in patients with schizophrenia including genetic variations, sociocultural factors as well as meteorological factors [12,17,19,20,[25][26][27].…”

Section: Discussionmentioning

confidence: 97%

“…Variations in the occurrence of psychosis along the course of the year were assumed to underlie climatic conditions [12,14] and their influence on biological mechanisms including melatonergic and serotonergic interactions [16]. Previous studies also suggested an association between hospitalization rates and duration of photoperiod [17,18] and a possible influence of public holidays and religious festivities [18][19][20]. Besides previous inconsistent results regarding seasonal hospitalization patterns in patients with schizophrenia in general, there has been some evidence for sex-specific seasonal patterns in hospitalizations due to schizophrenia [11,18,21,22].…”

Section: Introductionmentioning

confidence: 99%

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Seasonality in schizophrenia—An analysis of a nationwide registry with 110,735 hospital admissions

et al. 2020

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Background. Seasonal patterns in hospitalizations have been observed in various psychiatric disorders, however, it is unclear whether they also exist in schizophrenia. Previous studies found mixed results and those reporting the presence of seasonality differ regarding the characteristics of these patterns. Further, they are inconclusive whether sex is an influencing factor. The aim of this study was therefore to examine if seasonal patterns in hospitalizations can be found in schizophrenia, with special regard to a possible influence of sex, by using a large national dataset. Methods. Data on all hospital admissions within Austria due to schizophrenia (F20.0–F20.6) for the time period of 2003–2016 were included. Age standardized monthly variation of hospitalization for women and men was analyzed and the level of significance adjusted for multiple testing. Results. The database comprised of 110,735 admissions (59.6% men). Significant seasonal variations were found in the total sample with hospitalization peaks in January and June and a trough in December (p < 0.0001). No significant difference in these patterns was found between women and men with schizophrenia (p < 0.0001). Conclusion. Our study shows that schizophrenia-related hospitalizations follow a seasonal pattern in both men and women. The distribution of peaks might be influenced by photoperiod changes which trigger worsening of symptoms and lead to exacerbations in schizophrenia. Further research is necessary to identify underlying factors influencing seasonal patterns and to assess whether a subgroup of patients with schizophrenia is especially vulnerable to the impact of seasonal variations.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Seasonality in schizophrenia—An analysis of a nationwide registry with 110,735 hospital admissions

et al. 2020

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“…where represents the observed count of AS outpatient visits at day t; is the intercept, is the lag days, is the cross-basis function for mean temperature, and represents a natural cubic spline with 8 degrees of freedom (df) per year for the time taken to control for long-term and seasonality trends. Other environmental confounding variables are adjusted for using a natural cubic spline with 3 df for relative humidity ( ), atmospheric pressure ( ), and rainfall ( ) [ 20 , 21 ]; the day of the week ( : Monday to Sunday) and public holidays ( : yes, no) are also adjusted as categorical variables. , , and are the coefficients for the corresponding variables.…”

Section: Methodsmentioning

confidence: 99%

Exposure-lag-response associations between weather conditions and ankylosing spondylitis: a time series study

Xin

Liu

Zhu

et al. 2021

BMC Musculoskelet Disord

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Background Patients with ankylosing spondylitis (AS) have reported that their pain becomes worse when the local weather changes. However, there is limited evidence verifying the short-term associations between meteorological factors and outpatient visits for patients with AS. Therefore, this study evaluates this possible association. Methods Meteorological data and data on daily AS outpatient visits to a general hospital in Hefei, China, from 2014 to 2019 were collected and analysed. Distributed lag nonlinear models and Poisson regression models were employed to determine the association between weather conditions and outpatient visits; the results were also stratified by gender and age. Results High relative humidity is significantly associated with all patient visits in lag 1 (RR = 1.113, 95% CI 1.021 to 1.213) and lag 7 days (RR = 1.115, 95% CI 1.014 to 1.227). A low relative risk to the nadir is observed in lag 4 days (RR = 0.920, 95% CI 0.862 to 0.983). Male and young patients (< 65 years) are more vulnerable to damp weather, and elderly people (≥ 65 years) are significantly affected by high temperatures in lag 7 days (RR = 3.004, 95% CI 1.201 to 7.510). Conclusions Our findings suggest a potential relationship between exposure to weather conditions and increased risk of AS outpatient visits. These results can aid hospitals in preparing for and managing hospital visits by AS patients when the local weather conditions change.

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“…2008). It accounts for the cloudiness, and thus differs from the total energy delivered by sunlight (Gu et al 2019;Zhang et al 2020). We combined these two datasets to conduct our main regression analyses.…”

Section: Data Collectionmentioning

confidence: 99%

Association between extreme heat and hospital admissions for cataract patients in Hefei, China

Xie

Zhu

Fan

et al. 2020

Environ Sci Pollut Res

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Cataract is the first cause of blindness and the major cause of visual impairment worldwide. Under conditions of global warming, researchers have begun to give attention to the influence of increasing temperature on cataract patients. Our paper aimed to investigate the association between extreme heat and hospital admissions for cataract in Hefei, China. Based on data from the New Rural Cooperative Medical System and National Meteorological Information Center, we used a generalized additive model and a distributed lag nonlinear model to examine the relationship between extreme heat and hospitalizations for cataract, with consideration of cumulative and lagged effects. When current mean temperature was above 28 °C, each 1 °C rise was associated with a 4% decrease in the number of cataract admissions (RR = 0.96, 95% CI = 0.94–0.98). The cumulative relative risk over 11 days of lag was the lowest, which indicated that every 1 °C increase in mean temperature above 28 °C was associated with a 19% decrease in the number of hospital admissions for cataract (RR = 0.81, 95% CI = 0.75–0.88). In subgroup analyses, the negative association between extreme heat and hospital admissions for cataract was stronger among patients who were not admitted to provincial-level hospitals. In conclusion, this paper found that extreme heat was negatively associated with cataract hospitalizations in Hefei, providing useful information for hospitals and policymakers.

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Exposure-lag-response association between sunlight and schizophrenia in Ningbo, China

Cited by 29 publications

References 48 publications

Seasonality in schizophrenia—An analysis of a nationwide registry with 110,735 hospital admissions

Seasonality in schizophrenia—An analysis of a nationwide registry with 110,735 hospital admissions

Exposure-lag-response associations between weather conditions and ankylosing spondylitis: a time series study

Association between extreme heat and hospital admissions for cataract patients in Hefei, China

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