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.
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References
Amato PR (2000) The consequences of divorce for adults and children. J Marriage Fam 62:1269–1287
Beach SRH, Fincham FD, Katz J (1998) Marital therapy in the treatment of depression: Toward a third generation of therapy and research. Clin Psychol Rev 18:635–661
Berwick DM, Murphy JM, Goldman PA, Ware JE, Barsky AJ, Weinstein MC (1991) Performance of a five-item mental health screening test. Med Care 29:169–197
Burke L (2003) The impact of maternal depression of familial relationships. Int Rev Psychiatry 15:243–255
Butterworth P, Crosier T (2004) The validity of the SF-36 in an Australian National Household Survey: demonstrating the applicability of the Household Income and Labour Dynamics in Australia (HILDA) Survey to examination of health inequalities. Bmc Public Health 4:44
Butterworth P, Rodgers B (2006) Concordance in the mental health of spouses: analysis of a large national household panel survey. Psychol Med 36:685–697
Coyne JC, Benazon NR, Davila J (2001) Not agent blue: Effects of marital functioning on depression and implications for treatment. In: Beach SR (ed) Marital and family processes in depression: A scientific foundation for clinical practice. American Psychological Association, Washington, pp 25–43
Coyne JC, Kessler RC, Tal M, Turnbull J, Wortman CB, Greden JF (1987) Living with a depressed person. J Consult Clin Psychol 55:347–352
Fincham FD, Beach SRH, Harold GT, Osborne LN (1997) Marital satisfaction and depression: different causal relationships for men and women? Psychol Sci 8:351–357
Fone DL, Dunstan F, John A, Lloyd K (2007) Associations between common mental disorders and the Mental Illness Needs Index in community settings. Br J Psychiatry 191:158–163
Galbaud du Fort G, Kovess V, Boivin JF (1994) Spouse similarity for psychological distress and well-being: a population study. Psychol Med 24:431–447
Gill SC, Butterworth P, Rodgers B, Anstey KJ, Villamil E, Melzer D (2006) Mental health and the timing of men’s retirement. Soc Psychiatry Psychiatr Epidemiol 41:515–522
Hoeymans N, Garssen AA, Westert GP, Verhaak PFM (2004) Measuring mental health of the Dutch population: a comparison of the GHQ-12 and the MHI-5. Health Qual Life Outcomes 2:23
Hope S, Rodgers B, Power C (1999) Marital status transitions and psychological distress: longitudinal evidence from a national population sample. Psychol Med 29:381–389
Karney BR, Bradbury TN (1995) The longitudinal course of marital quality and stability:a review of theory, method and research. PsyB 118:3–34
Kessler RC, Walters EE, Forthofer MS (1998) The social consequenccecs of psychiatric disorders, III: probability of marital stability. Am J Psychiatry 155:1092–1096
Krueger R, Caspi A, Moffitt T, Silva P (1998) The structure and stability of common mental disorders (DSM-III-R): A longitudinal-epidemiological study. JAP 107:216–227
Krueger RF (1999) The structure of common mental disorders. Arch Gen Psychiatry 56:921–926
Lindeman S, Kaprio J, Isometsa E, Poikolainen K, Heikkinen M, Hamalainen J, Haarasilta L, Laukkala T, Aro H (2002) Spousal resemblance for history of major depressive episode in the previous year. Psychol Med 32:363–367
McHorney CA, Ware JE (1995) Construction and validation of an alternate form general mental health scale for the Medical Outcomes Study Short-Form 36-item Health Survey. Med Care 33:15–28
McLeod JD (1995) Social and psychological bases of homogamy for common psychiatric-disorders. J Marriage Fam 57:201–214
Merikangas KR (1982) Assortative mating for psychiatric-disorders and psychological traits. Arch Gen Psychiatry 39:1173–1180
Merikangas KR (1984) Divorce and assortative mating among depressed-patients. Am J Psychiatry 141:74–76
Newnham EA, Harwood KE, Page AC (2007) Evaluating the clinical significance of responses by psychiatric inpatients to the mental health subscales of the SF-36. J Affect Disord 98:91–97
Ostermann J, Sloan FA, Taylor DH (2005) Heavy alcohol use and marital dissolution in the USA. Soc Sci Med 61:2304–2316
Rumpf H, Meyer C, Hapke U, John U (2001) Screening for mental health: validity of the MHI-5 using DSM-IV Axis I pscyhiatric disorders as gold standard. Psychiatry Res 105:243–253
Skapinakis P, Lewis G, Araya R, Jones K, Williams G (2005) Mental health inequalities in Wales, UK: multi-level investigation of the effect of area deprivation. Br J Psychiatry 186:417–422
Stewart AL, Greenfield S, Hays RD, Wells K, Rogers WH, Berry SD, McGlynn EA, Ware JE (1989) Functional status and well-being of patients with chronic conditions. Results from the medical outcomes study. JAMA 262:907–913
Townsend AL, Miller B, Guo SY (2001) Depressive symptomatology in middle-aged and older married couples: A dyadic analysis. J Gerontol B Psychol Sci Soc Sci 56:S352–S364
Vollebergh WAM, Iedema J, Bijl RV, de Graaf R, Smit F, Ormel J (2001) The structure and stability of common mental disorders: The NEMESIS Study. Arch Gen Psychiatry 58:597–603
Wade TJ, Pevalin DJ (2004) Marital transitions and mental health. J Health Soc Behav 45:155–170
Ware JE Jr, Gandek B (1998) Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. J Clin Epidemiol 51:903–912
Ware JE, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30:473–483
Watson N (2005) HILDA User Manual—Release 3.0. Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Melbourne
Watson N, Wooden M (2004) The HILDA Survey four years on. Aust Econ Rev 37:343–349
Weich S, Holt G, Twigg L, Jones K, Lewis G (2003) Geographic variation in the prevalence of common mental disorders in Britain: A multilevel investigation. Am J Epidemiol 157:730–737
Weich S, Lewis G (1998) Poverty, unemployment, and common mental disorders: population based cohort study. BMJ 317: 115–119
Weinstein MC, Berwick DM, Goldman PA, Murphy JM, Barsky AJ (1989) A comparison of three psychiatric screening tests using Receiver Operating Characteristic (ROC) analysis. Med Care 27:593–607
Whisman MA (2001) The association between depression and marital dissatisfaction. In: Beach SRH (ed) Marital and family processes in depression: A scientific foundation for clinical practice. American Psychological Association, Washington, pp 3–24
Whisman MA (1999) Marital dissatisfaction and psychiatric disorders: results from the National Comorbidity Survey. JAP 108:701–706
Whisman MA, Uebelacker LA, Weinstock LM (2004) Psychopathology and marital satisfaction: the importance of evaluating both partners. J Consult Clin Psychol 72:830–838
Winston M, Smith J (2000) A trans-cultural comparison of four psychiatric case-finding instruments in a Welsh community. Soc Psychiatry Psychiatr Epidemiol 35:569–575
Yamazaki S, Fukuhara S, Green J (2005) Usefulness of five-item and three-item Mental Health Inventories to screen for depressive symptoms in the general population of Japan. Health Qual Life Outcomes 3:48
Acknowledgments
The authors wish to thank Ms Tamar Oz for research assistance. This paper uses the confidentialised unit record file from the Household, Income and Labour Dynamics in Australia (HILDA) survey. The HILDA Project was initiated and is funded by the Commonwealth Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA) and is managed by the Melbourne Institute of Applied Economic and Social Research (MIAESR). The findings and views reported in this paper, however, are those of the authors and should not be attributed to either FaHCSIA, or the MIAESR. Funding: Financial support for this project was received from the Australian Government Department of Families, Housing, Community Services, and Indigenous Affairs through the Social Policy Research Services Contract. Peter Butterworth was supported by NHMRC Public Health (Australia) Fellowship No. 316970. Bryan Rodgers was supported by NHMRC Research Fellowship No. 148948. Competing interests: None.
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Butterworth, P., Rodgers, B. Mental health problems and marital disruption: is it the combination of husbands and wives’ mental health problems that predicts later divorce?. Soc Psychiat Epidemiol 43, 758–763 (2008). https://doi.org/10.1007/s00127-008-0366-5
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DOI: https://doi.org/10.1007/s00127-008-0366-5