Maximum Temperature and Solar Radiation as Predictors of Bipolar Patient Admission in an Emergency Psychiatric Ward

Int J Environ Res Public Health. 2019 Mar 29;16(7):1140. doi: 10.3390/ijerph16071140.

Abstract

Environmental variables can regulate behavior in healthy subjects. Recently, some authors investigated the role of meteorological variables in bipolar patients with an impact on both the onset and course of bipolar disorder (BD). The aim of this study was to investigate the impact of meteorological variables and other indexes in bipolar hospitalized patients. We examined all patients admitted to the Psychiatric Inpatient Unit of San Luigi Gonzaga Hospital, Orbassano (Turin, Italy) from September 2013 to August 2015, collecting several socio-demographic and clinical characteristics. Seven hundred and thirty patients were included. Compared to the day of admission of control individuals, patients with BD were admitted on a day that presented higher minimum, medium, and maximum temperature, higher maximum humidity, higher solar radiation, and higher hours of sunshine. After logistic regression analysis, admissions to the emergency psychiatric ward due to a primary diagnosis of BD were associated with maximum temperature and solar radiation. The current study provides a novel perspective on the question surrounding seasonal mood patterns in patients with BD. A greater awareness of all possible precipitating factors is needed to inform self-management and psycho-educational programs as well as to improve resilience regarding affective recurrences in the clinical practice.

Keywords: bipolar disorder; daylight exposure; emergency psychiatry; meteorological variables; sunlight; temperature.

MeSH terms

  • Adult
  • Bipolar Disorder / epidemiology*
  • Bipolar Disorder / psychology
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Humans
  • Humidity
  • Italy / epidemiology
  • Male
  • Middle Aged
  • Patient Admission / statistics & numerical data*
  • Psychiatric Department, Hospital / statistics & numerical data*
  • Solar Energy
  • Sunlight*
  • Temperature*