Abstract
Objectives
: There is a well-established association between gender and the prevalence of mental illness. The objective of this study was to determine whether gender also influences the timing of remission from illness. The regression analysis undertaken considered remission in terms of all ICD-9 mental disorders (codes 290-314). This analysis compares males and females on average length of treatment for mental illness and examines whether any gender differences in remission are generalized or disorder specific.
Methods
: The statistical analysis was based on longitudinal (1990-2001) administrative data on 5,118 females and 2,470 males. The target population represented all individuals with an ICD-9 diagnosis of mental illness who were treated through the Medical Services Plan in British Columbia. The regression analysis used the generalized estimating equations method to model differences in length of treatment.
Results
: There was a non-significant bivariate relation between gender and the timing of remission from mental illness. However, the multivariate findings demonstrated that a significant gender effect on remission emerges after controls were introduced for demographic and socio-economic characteristics. In particular, the timing of remission was somewhat longer for females. This effect was generalized and not restricted to specific illnesses.
Conclusions
: The emergence of a significant effect after considering demographic and socio-economic characteristics suggests that a social disadvantage within the male sample (more single males) was suppressing a small negative effect of female gender on the timing of remission. In other words, a social disadvantage among males concealed an unexplained female disadvantage in remission.
Key words: Gender, remission, mental health
Résumé
Objectifs
: Il existe un lien confirmé entre le sexe et la prévalence des maladies mentales. Nous avons cherché à déterminer si le sexe influençait aussi le moment des rémissions de ce genre de maladies. Au moyen d’une analyse de régression, nous avons étudié les rémissions de tous les troubles mentaux énumérés dans la CIM-9 (codes 290 à 314). L’analyse comparait la durée moyenne des traitements pour maladie mentale chez les hommes et les femmes afin de déceler d’éventuels écarts entre les sexes dans les rémissions et de déterminer si ces écarts étaient généralisés ou propres à certains troubles.
Méthode
: Notre analyse statistique était fondée sur les données administratives longitudinales (1990-2001) de 5 118 femmes et de 2 470 hommes. La population cible englobait toutes les personnes présentant un diagnostic de maladie mentale selon la CIM-9 qui avaient été traitées par le régime de santé de la Colombie-Britannique. Dans l’analyse de régression, nous avons utilisé la méthode des équations d’estimation généralisées pour modéliser les écarts dans la durée des traitements.
Résultats
: Nous observons une relation bivariée non significative entre le sexe et le moment des rémissions des maladies mentales. Cependant, les résultats de l’analyse multivariée montrent l’émergence d’un effet sexospécifique significatif après l’introduction de variables de contrôle démographiques et socioéconomiques. En particulier, les rémissions sont un peu plus tardives chez les femmes. Cet effet est généralisé: il ne se limite pas à certaines maladies.
Conclusion
: L’émergence d’un effet significatif lorsqu’on tient compte de variables démographiques et socioéconomiques donne à penser que l’existence d’un désavantage social dans l’échantillon masculin (composé de plus de célibataires) a annulé un léger effet néfaste dans le moment des rémissions chez les femmes. Autrement dit, un désavantage social chez les hommes masquait un désavantage inexpliqué sur le plan des rémissions chez les femmes.
Mots clés: sexospécificité, rémission, santé mentale
Footnotes
Acknowledgements: The authors acknowledge Chi Zheng and Ruth Kampen for their research assistance and the Canadian Institutes of Health Research, Institute of Neurosciences, Mental Health, and Addiction, for financial support.
References
- 1.Carter-Snell C, Hegadoren K. Stress disorders and gender: Implications for theory and research. Can J Nurs Res. 2003;35:34–55. [PubMed] [Google Scholar]
- 2.Denton M, Prus S, Walters V. Gender differences in health: A Canadian study of the psychosocial, structural, and behavioural determinants of health. Soc Sci Med. 2004;58:2585–600. doi: 10.1016/j.socscimed.2003.09.008. [DOI] [PubMed] [Google Scholar]
- 3.Linzer M, Spitzer R, Kroenke K, Williams JB, Hahn S, Brody G, et al. Gender, quality of life, and mental disorders in primary care: Results from the PRIME-MD study. Am J Med. 1996;101:526–33. doi: 10.1016/S0002-9343(96)00275-6. [DOI] [PubMed] [Google Scholar]
- 4.Hopcroft RL, Burr-Bradley D. The sex difference in depression across 29 countries. Soc Forces. 2007;85:1484–507. doi: 10.1353/sof.2007.0071. [DOI] [Google Scholar]
- 5.Health Canada. A Report on Mental Illness in Canada. Ottawa, ON: Health Canada; 2002. [Google Scholar]
- 6.Romans SE, Tyas J, Cohen MM, Silverstone T. Gender differences in the symptoms of major depressive disorder. J Nerv Ment Dis. 2007;195:905–11. doi: 10.1097/NMD.0b013e3181594cb7. [DOI] [PubMed] [Google Scholar]
- 7.Enns MW, Cox BJ. Psychosocial and clinical predictors of symptom persistence vs remission in major depressive disorder. Can J Psychiatry. 2005;50:769–77. doi: 10.1177/070674370505001206. [DOI] [PubMed] [Google Scholar]
- 8.Frank E, Rucci P, Katon W, Barrett J, Williams JW, Jr., Oxman T, et al. Gen Hosp Psychiatry. 2002. Correlates of remission in primary care patients treated for minor depression; pp. 12–19. [DOI] [PubMed] [Google Scholar]
- 9.Kessler R, McGonagle K, Swartz M, Blazer D, Nelson C. Sex and depression in the National Comorbidity Survey. I: Lifetime prevalence, chronicity, and reoccurrence. J Affect Disord. 1993;29:85–96. doi: 10.1016/0165-0327(93)90026-G. [DOI] [PubMed] [Google Scholar]
- 10.Kornstein S. The evaluation and management of depression in women across the life span. J Clin Psychiatry. 2001;62:11–17. [PubMed] [Google Scholar]
- 11.Kuehner C. Gender differences in the short-term course of unipolar depression in a follow-up sample of depressed inpatients. J Affect Disord. 1999;56:127–39. doi: 10.1016/S0165-0327(99)00035-X. [DOI] [PubMed] [Google Scholar]
- 12.Oldehinkel AJ, Ormel J, Neeleman J. Predictors of time to remission from depression in primary care patients: Do some people benefit more from positive life change than others? J Abnorm Psychol. 2000;109:299–307. doi: 10.1037/0021-843X.109.2.299. [DOI] [PubMed] [Google Scholar]
- 13.Riise T, Lund A. Prognostic factors in major depression: A long-term follow-up study of 323 patients. J Affect Disord. 2001;65:297–306. doi: 10.1016/S0165-0327(00)00260-3. [DOI] [PubMed] [Google Scholar]
- 14.Benedetti A, Fagiolini A, Casamassima F, Mian MS, Adamovit A, Musettit L, et al. Gender differences in bipolar disorder type 1: A 48-week prospective follow-up of 72 patients treated in an Italian tertiary care center. J Nerv Ment Dis. 2007;1995:93–96. doi: 10.1097/01.nmd.0000243781.67035.b1. [DOI] [PubMed] [Google Scholar]
- 15.Hildebrandt MG, Steyerberg EW, Stage KB, Passchier J, Kragh-Soerensen P. Are gender differences important for the clinical effects of antidepressants? Am J Psychiatry. 2003;160:1643–50. doi: 10.1176/appi.ajp.160.9.1643. [DOI] [PubMed] [Google Scholar]
- 16.Bland RC, Newman SC, Orn H. Age and remission of psychiatric disorders. Can J Psychiatry. 1997;42:722–29. doi: 10.1177/070674379704200704. [DOI] [PubMed] [Google Scholar]
- 17.Chamberlayne R, Green B, Barer ML, Hertzman C, Lawrence WJ, Sheps SB. Creating a population-based linked health database: A new resource for health services research. Can J Public Health. 1998;89:270–73. doi: 10.1007/BF03403934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Michalak EE, Goldner EM, Jones W, Oetter HM, Lam RW. The management of depression in primary care: Current state and a new team approach. BC Med J. 2002;44:408–11. [Google Scholar]
- 19.Kirmayer LJ, Gill K, Ternar Y, Boothroyd Quesney C, Smith A, Ferrara N, Hayton B. A report prepared for the Royal Commission on Aboriginal Peoples. Ottawa, ON: Government of Canada; 1994. Emerging Trends in Research on Mental Health among Canadian Aboriginal Peoples. [Google Scholar]
- 20.Maddess R. Mental health care in rural British Columbia. BC Med J. 2006;48:172–73. [Google Scholar]
- 21.Diggle PJ, Heagerty K, Liang S, Zeger L. The Analysis of Longitudinal Data. Oxford: Oxford University Press; 2002. [Google Scholar]
- 22.Liang K, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73:13–22. doi: 10.1093/biomet/73.1.13. [DOI] [Google Scholar]
- 23.Wu Z, Penning MJ, Zheng C, Schimmele CM. Marital status and mental health convalescence; 2007. [Google Scholar]
