Literature DB >> 15918347

Primary group size, social support, gender and future mental health status in a prospective study of people living in private households throughout Great Britain.

Traolach S Brugha1, Scott Weich, Nicola Singleton, Glyn Lewis, Paul E Bebbington, Rachel Jenkins, Howard Meltzer.   

Abstract

BACKGROUND: Structural characteristics of social networks such as primary group size have received less attention than measures of perceived social support. Previous research suggests that associations between social network size and later common mental disorder status may differ according to sex and initial mental state.
METHOD: Adults participating in the 2000 British National Household Survey of psychiatric morbidity were randomly selected for follow-up 18 months later. The revised Clinical Interview Schedule (CIS-R) and the Interview Measure of Social Relations (IMSR) were administered at baseline and follow-up. Primary group size was defined as the total number of close relatives and friends. A four-level scale of common mental disorder was modelled with ordinal logistic regression, based on weighted data (n=2413).
FINDINGS: After adjusting for confounders, a primary group size of three or less at time 1 predicted worse mental health at time 2. This effect was greatest in men who were initially non-cases at baseline (averaged odds 4.5) and in women who were initially cases at baseline (average odds 2.9). Primary group size at time 2 was significantly predicted by level of common mental disorder at time 1 in women but not in men. Thus, confounding by baseline disorder does not explain risk of developing poor mental health in socially isolated men.
CONCLUSION: This study replicates the strong effects of primary group size on future mental health that emerge when men and women are studied separately and when subjects are categorized according to baseline mental health status.

Entities:  

Mesh:

Year:  2005        PMID: 15918347     DOI: 10.1017/s0033291704003903

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


  14 in total

1.  Validity across translations of short survey psychiatric diagnostic instruments: CIDI-SF and CIS-R versus SCID-I/NP in four European countries.

Authors:  Ondine Pez; Fabien Gilbert; Adina Bitfoi; Mauro Giovanni Carta; Vesna Jordanova; Carmen Garcia-Mahia; Raimundo Mateos-Alvarez; Martin Prince; Bogdana Tudorache; Catherine Blatier; Viviane Kovess-Masfety
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2009-11-03       Impact factor: 4.328

2.  Factors influencing patients' recovery and the efficacy of a psychosocial post-discharge intervention: post hoc analysis of a randomized controlled trial.

Authors:  Michael P Hengartner; Silvia Passalacqua; Gisela Heim; Andreas Andreae; Wulf Rössler; Agnes von Wyl
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2016-09-06       Impact factor: 4.328

3.  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

4.  Articulation and testing of a personality-centred model of psychopathology: evidence from a longitudinal community study over 30 years.

Authors:  Michael P Hengartner; Peter Tyrer; Vladeta Ajdacic-Gross; Jules Angst; Wulf Rössler
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2017-04-07       Impact factor: 5.270

5.  Burnout, working conditions and gender--results from the northern Sweden MONICA Study.

Authors:  Sofia Norlund; Christina Reuterwall; Jonas Höög; Bernt Lindahl; Urban Janlert; Lisbeth Slunga Birgander
Journal:  BMC Public Health       Date:  2010-06-09       Impact factor: 3.295

6.  A 4-year follow-up study of syndromal and sub-syndromal anxiety and depression symptoms in the general population: the HUNT study.

Authors:  Ottar Bjerkeset; Hans M Nordahl; Sara Larsson; Alv A Dahl; Olav Linaker
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2007-12-06       Impact factor: 4.328

7.  Work situation and self-perceived economic situation as predictors of change in burnout--a prospective general population-based cohort study.

Authors:  Sofia Norlund; Christina Reuterwall; Jonas Höög; Urban Janlert; Lisbeth Slunga Järvholm
Journal:  BMC Public Health       Date:  2015-04-03       Impact factor: 3.295

8.  The association between social relationships and self-harm: a case-control study in Taiwan.

Authors:  Chia-Yi Wu; Chin-Kuo Chang; Hui-Chun Huang; Shen-Ing Liu; Robert Stewart
Journal:  BMC Psychiatry       Date:  2013-03-26       Impact factor: 3.630

9.  Gender differences in the association between childhood physical and sexual abuse, social support and psychosis.

Authors:  Charlotte Gayer-Anderson; Helen L Fisher; Paul Fearon; Gerard Hutchinson; Kevin Morgan; Paola Dazzan; Jane Boydell; Gillian A Doody; Peter B Jones; Robin M Murray; Thomas K Craig; Craig Morgan
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-04-18       Impact factor: 4.519

10.  Variability of the Prevalence of Depression in Function of Sociodemographic and Environmental Factors: Ecological Model.

Authors:  José María Llorente; Bárbara Oliván-Blázquez; María Zuñiga-Antón; Bárbara Masluk; Eva Andrés; Javier García-Campayo; Rosa Magallón-Botaya
Journal:  Front Psychol       Date:  2018-11-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.