Literature DB >> 2320692

Gender, social support and recovery from depressive disorders: a prospective clinical study.

T S Brugha1, P E Bebbington, B MacCarthy, E Sturt, T Wykes, J Potter.   

Abstract

One hundred and thirty men and women attending psychiatric hospitals with depressive disorders were interviewed at the time of their initial contact. After a mean four month interval, 119 were reassessed in order to test the hypothesis that initial levels of social support predict clinical improvement even when other potential risk factors such as age, sex, diagnosis and severity of depression are controlled. Severity and duration of the episode emerged as the only significant background predictors of recovery. The explained variance in recovery from depression due to social support was equal in men and women, and was not diminished by the background clinical predictors. According to subset analyses however, the aspects of personal relationships and perceived support that predict recovery in men and in women appear to be different. The available multiple regression models of outcome favoured a main effect of social support and provided persuasive if inconclusive evidence for a statistical interaction effect with sex. The implications for further research and for theory are discussed.

Entities:  

Mesh:

Year:  1990        PMID: 2320692     DOI: 10.1017/s0033291700013325

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  13 in total

Review 1.  The effects of life events and social relationships on the course of major depression.

Authors:  Traolach S Brugha
Journal:  Curr Psychiatry Rep       Date:  2003-12       Impact factor: 5.285

2.  Adaptation of the multidimensional scale of perceived social support in a Ugandan setting.

Authors:  Janet Nakigudde; Seggane Musisi; Anna Ehnvall; Eija Airaksinen; Hans Agren
Journal:  Afr Health Sci       Date:  2009-08-01       Impact factor: 0.927

3.  Prognostic significance of social network, social support and loneliness for course of major depressive disorder in adulthood and old age.

Authors:  R H S van den Brink; N Schutter; D J C Hanssen; B M Elzinga; I M Rabeling-Keus; M L Stek; H C Comijs; B W J H Penninx; R C Oude Voshaar
Journal:  Epidemiol Psychiatr Sci       Date:  2017-02-10       Impact factor: 6.892

4.  Suicide, religion, and socioeconomic conditions. An ecological study in 26 countries, 1990.

Authors:  J Neeleman; G Lewis
Journal:  J Epidemiol Community Health       Date:  1999-04       Impact factor: 3.710

5.  Perceived social support mediates anxiety and depressive symptom changes following primary care intervention.

Authors:  Halina J Dour; Joshua F Wiley; Peter Roy-Byrne; Murray B Stein; Greer Sullivan; Cathy D Sherbourne; Alexander Bystritsky; Raphael D Rose; Michelle G Craske
Journal:  Depress Anxiety       Date:  2013-12-12       Impact factor: 6.505

6.  Negative life events, social support and gender difference in depression: a multinational community survey with data from the ODIN study.

Authors:  Odd Steffen Dalgard; Christopher Dowrick; Ville Lehtinen; Jose Luis Vazquez-Barquero; Patricia Casey; Greg Wilkinson; Jose Luis Ayuso-Mateos; Helen Page; Graham Dunn
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2006-03-29       Impact factor: 4.328

7.  Socioeconomic status and anxiety as predictors of antidepressant treatment response and suicidal ideation in older adults.

Authors:  Alex Cohen; Stephen E Gilman; Patricia R Houck; Katalin Szanto; Charles F Reynolds
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2008-09-25       Impact factor: 4.328

8.  The relationship of social network deficits with deficits in social functioning in long-term psychiatric disorders.

Authors:  T S Brugha; J K Wing; C R Brewin; B MacCarthy; A Lesage
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1993-10       Impact factor: 4.328

9.  The undertreatment of depression.

Authors:  T S Brugha; P E Bebbington
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  1992       Impact factor: 5.270

10.  Working conditions, self-perceived stress, anxiety, depression and quality of life: a structural equation modelling approach.

Authors:  Bin Nordin Rusli; Bin Abdin Edimansyah; Lin Naing
Journal:  BMC Public Health       Date:  2008-02-06       Impact factor: 3.295

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