Annals of General Psychiatry (Dec 2023)

Real-world predictors of divorce among outpatients with bipolar disorder: sex differences and clinical implications

  • Keita Tokumitsu,
  • Norio Sugawara,
  • Naoto Adachi,
  • Yukihisa Kubota,
  • Yoichiro Watanabe,
  • Kazuhira Miki,
  • Takaharu Azekawa,
  • Koji Edagawa,
  • Eiichi Katsumoto,
  • Seiji Hongo,
  • Eiichiro Goto,
  • Hitoshi Ueda,
  • Masaki Kato,
  • Reiji Yoshimura,
  • Atsuo Nakagawa,
  • Toshiaki Kikuchi,
  • Takashi Tsuboi,
  • Koichiro Watanabe,
  • Norio Yasui-Furukori

DOI
https://doi.org/10.1186/s12991-023-00487-6
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 12

Abstract

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Abstract Background Bipolar disorder is a mental illness characterized by recurring episodes of mania and depression and is known to cause social impairment. Additionally, it has been revealed that bipolar disorder increases the risk of divorce and loss of family member support, which can worsen the prognosis. However, there is limited evidence regarding the predictive factors of divorce among patients with bipolar disorder in real-world settings. Methods This study utilized an observational approach and involved psychiatrists from 176 member clinics of the Japanese Association of Neuro-Psychiatric Clinics. They were requested to conduct a retrospective review of medical records and complete a questionnaire focused on patients diagnosed with bipolar disorder. The data collection period for baseline patient characteristics spanned from September to October 2017. Next, we investigated the incidence of divorce over a 2-year period, ranging from baseline to September to October 2019. Results A total of 1071 outpatients with bipolar disorder were included in the analysis, and 2.8% (30/1071) experienced divorce during the first 2 years of observation. The incidence of divorce in this population was considerably higher than that in the general Japanese population. Binomial logistic regression analysis confirmed that a younger baseline age and lower BMI values were statistically significant predictors of divorce occurrence for all study participants. The predictors of divorce were then examined separately by sex. The results revealed that for men, a younger age at baseline and having bipolar I disorder compared to bipolar II disorder were statistically significant predictors of divorce. In contrast, for women, having a lower BMI and using anxiolytics emerged as statistically significant predictors of divorce. Conclusions In this study, a younger baseline age and lower BMI values were statistically significant predictors of divorce in patients with bipolar disorder. Notably, the predictors of divorce varied significantly between men and women. These findings provide important insights from a family perspective regarding social support for individuals with bipolar disorder in real-world clinical settings.

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