Using the biopsychosocial model to predict sense of community for persons with serious mental illness

Boyang Tong; Connie Sung; Jennifer Sánchez

doi:10.1080/09638237.2019.1581330

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Using the biopsychosocial model to predict sense of community for persons with serious mental illness

Journal article

Peer reviewed

Using the biopsychosocial model to predict sense of community for persons with serious mental illness

Boyang Tong, Connie Sung and Jennifer Sánchez

Journal of mental health (Abingdon, England), Vol.30(3), pp.366-374

06/2021

DOI: 10.1080/09638237.2019.1581330

PMID: 30862216

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Abstract

Sense of community (SOC) is paramount for persons with serious mental illness (SMI) to achieve the goals of psychiatric rehabilitation (PsyR): recovery, community integration and quality of life (QOL). This study provides a thorough understanding of the predictors of SOC by using the biopsychosocial model as the conceptual framework. The purpose of this study was to evaluate the effectiveness of the proposed biopsychosocial model of SOC among persons with SMI. Hierarchical regression analysis was used to understand the overall prediction model of SOC, as well as the unique contribution of the biological, psychological and social factors on SOC. Results of the study provide empirical support for using the biopsychosocial model in understanding SOC for persons with SMI. This study informs PsyR professionals on how to provide effective PsyR services to improve SOC for persons with SMI, such as self-efficacy promotion and social support provision.

social support

serious mental illness

Sense of community

biopsychosocial model

self-efficacy

Details

Title: Subtitle: Using the biopsychosocial model to predict sense of community for persons with serious mental illness
Creators: Boyang Tong - a Resource Center for Persons with Disabilities, Michigan State University , East Lansing , MI , USA
Connie Sung - b Department of Counseling , Educational Psychology and Special Education, Michigan State University , East Lansing , MI , USA
Jennifer Sánchez - e I-SERVE (Iowa-Support, Education, and Resources for Veterans and Enlisted), The University of Iowa , Iowa City , IA , USA
Resource Type: Journal article
Publication Details: Journal of mental health (Abingdon, England), Vol.30(3), pp.366-374
DOI: 10.1080/09638237.2019.1581330
PMID: 30862216
NLM abbreviation: J Ment Health
ISSN: 1360-0567
eISSN: 1360-0567
Publisher: England
Language: English
Electronic publication date: 03/12/2019
Date published: 06/2021
Academic Unit: Counselor Education
Record Identifier: 9983993325902771

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