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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Seasonality of suicidal behavior.
Jong-Min Woo1, Olaoluwa Okusaga, Teodor T Postolache
1Department of Psychiatry, Seoul Paik Hospital, Inje University School of Medicine, Mareunnae-ro 9, Jung-gu, Seoul 100032, Korea.
Spring suicide rates peak annually, but the cause remains unclear. This review explores environmental, demographic, and clinical factors linked to seasonal suicide variations, aiming to improve prevention strategies.
Area of Science:
- Environmental science
- Epidemiology
- Psychiatry
Background:
- A recurring seasonal peak in suicide rates, particularly in spring, is a well-documented phenomenon.
- The precise etiological factors driving this seasonal variation in suicide remain largely unknown.
- Understanding these factors is crucial for developing targeted suicide prevention efforts.
Purpose of the Study:
- To systematically review and synthesize existing literature on risk factors associated with seasonal variations in suicide rates.
- To identify potential environmental, demographic, and clinical determinants contributing to the spring suicide peak.
- To inform the development of more effective suicide prevention strategies by elucidating seasonality drivers.
Main Methods:
- A comprehensive literature search was conducted for articles published between 1979 and 2011.
- The review assessed studies examining environmental determinants (physical, chemical, biological factors).
- Demographic (age, gender, birth month, socioeconomic status) and clinical (prior attempts, comorbidities) characteristics were also summarized.
Main Results:
- Environmental factors, including physical, chemical, and biological elements, were identified as potential contributors to seasonal suicide patterns.
- Demographic variables such as age, gender, month of birth, and socioeconomic status may influence seasonal suicide risk.
- Comorbid psychiatric and medical conditions were also considered in relation to seasonal suicide trends.
Conclusions:
- Identifying the primary drivers of suicide seasonality is essential for understanding the phenomenon.
- A thorough evaluation of linked risk factors can enhance our knowledge of suicide seasonality.
- This understanding can potentially lead to improved and more targeted suicide prevention interventions.
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