Sex differences in marital status of people with epilepsy in Northeast China: An observational study

Epilepsy Behav. 2020 Dec:113:107571. doi: 10.1016/j.yebeh.2020.107571. Epub 2020 Nov 24.

Abstract

Purpose: Our aims were to determine (1) whether the marriage rate was different between the sexes and (2) whether the influencing factors of marital status varied by sexes.

Methods: A cross-sectional study was performed among 475 people with epilepsy (PWE) in Northeast China. The demographic information and clinical data were gathered and recorded. Sex differences in the marriage rate of PWE and the related influencing factors were analyzed. Multivariate logistic regression analyses were used to investigate the independent factors influencing marital status in men and women, respectively.

Results: Among 475 participants, 219 (79.6%) men with epilepsy (MWE) were married, and 140 (70%) women with epilepsy (WWE) were married. In MWE, age, educational level, age at seizure onset, and disease duration were significantly different between the married men and the single men. In WWE, age, educational level, occupation and age at seizure onset showed significant differences between the married women and the single women. In the multiple logistic regression model, age and age at first seizure onset had an independent effect on the marital status in men with epilepsy. Multiple logistic regression analysis also revealed that age and age at first seizure onset were independent factors that influenced marital status in WWE.

Conclusion: Men with epilepsy were more likely to marry than WWE. Age and the age of seizure onset independently affected the marital status of men and women.

Keywords: Age; Age at seizure onset; Epilepsy; Marital status; Sex difference.

Publication types

  • Comparative Study
  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • China / epidemiology
  • Cross-Sectional Studies
  • Epilepsy / epidemiology*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Marital Status / statistics & numerical data*
  • Middle Aged
  • Sex Factors
  • Young Adult