title: Mental health problems and marital disruption: is it the combination of husbands and wives' mental health problems that predicts later divorce?
abstract: BACKGROUND
  Divorce has been established as an adverse social consequence of mental illness. There is, however, little research that has considered how the mental health of both spouses may interact to predict relationship disruption. The aim of the current study was to use data from a large population-based survey to examine whether the combination of spouses' mental health problems predicts subsequent marital dissolution.
  
  
  METHODS
  Prospective analysis of data from a longitudinal national household survey. 3,230 couples were tracked over 36 months, with logistic regression models used to determine whether the mental health problems of both spouses at wave 1 (determined by the SF36 mental health subscale) predicted subsequent relationship dissolution.
  
  
  RESULTS
  Couples in which either men or women reported mental health problems had higher rates of marital disruption than couples in which neither spouse experienced mental health problems. For couples in which both spouses reported mental health problems, rates of marital disruption reflected the additive combination of each spouse's separate risk. Importantly, these couples showed no evidence of a multiplicative effect of mental illness on rates of subsequent divorce or separation.
  
  
  CONCLUSIONS
  The results do not support the notion that a combination of mental health problems in both spouses uniquely predicts marital dissolution. Rather, there is an additive effect of individual mental health problems on the risk of dissolution.
authors.affiliation: Centre for Mental Health Research, The Australian National University, Eggleston Road, Canberra, ACT 0200, Australia. Peter.Butterworth@anu.edu.au
authors.forename: Peter
authors.initials: P
authors.lastname: Butterworth
authors.forename: Bryan
authors.initials: B
authors.lastname: Rodgers
mesh_terms: D004243:Divorce / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D008393:Marriage / Q000706:statistics & numerical data*; D001523:Mental Disorders / Q000453:epidemiology* / Q000523:psychology*; D011446:Prospective Studies; D011795:Surveys and Questionnaires