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Social support network, mental health and quality of life: a cross-sectional study in primary care

Overview of attention for article published in Cadernos de Saúde Pública, January 2016
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Title
Social support network, mental health and quality of life: a cross-sectional study in primary care
Published in
Cadernos de Saúde Pública, January 2016
DOI 10.1590/0102-311x00165115
Pubmed ID
Authors

Flávia Batista Portugal, Mônica Rodrigues Campos, Celina Ragoni Correia, Daniel Almeida Gonçalves, Dinarte Ballester, Luis Fernando Tófoli, Jair de Jesus Mari, Linda Gask, Christopher Dowrick, Peter Bower, Sandra Fortes

Abstract

The objective of this study was to identify the association between emotional distress and social support networks with quality of life in primary care patients. This was a cross-sectional study involving 1,466 patients in the cities of São Paulo and Rio de Janeiro, Brazil, in 2009/2010. The General Health Questionnaire, the Hospital Anxiety and Depression Scale and the brief version of the World Health Organization Quality of Life Instrument were used. The Social Support Network Index classified patients with the highest and lowest index as socially integrated or isolated. A bivariate analysis and four multiple linear regressions were conducted for each quality of life outcome. The means scores for the physical, psychological, social relations, and environment domains were, respectively, 64.7; 64.2; 68.5 and 49.1. In the multivariate analysis, the psychological domain was negatively associated with isolation, whereas the social relations and environment domains were positively associated with integration. Integration and isolation proved to be important factors for those in emotional distress as they minimize or maximize negative effects on quality of life.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 9%
Professor > Associate Professor 2 5%
Student > Doctoral Student 1 2%
Student > Bachelor 1 2%
Lecturer 1 2%
Other 0 0%
Unknown 35 80%
Readers by discipline Count As %
Nursing and Health Professions 2 5%
Psychology 2 5%
Social Sciences 2 5%
Medicine and Dentistry 1 2%
Chemistry 1 2%
Other 0 0%
Unknown 36 82%