Literature DB >> 28160126

Correlates and Predictors of Well-being in Montreal.

Flore Moulin1, Corey Keyes2, Aihua Liu3, Jean Caron4.   

Abstract

With and without mental disorders, low levels of positive mental health are associated with limitations in daily life and with an economic burden in developed countries. We aimed to assess the correlates and predictors of high levels of well-being (WB) in Keyes' model of mental health. A four-year longitudinal population-based study was administered, in Montreal, Canada. At baseline, 1828 participated in wave 1, and 1303 in wave 2. WB was measured by the Mental Health Continuum Short Form, and data were collected by direct interviews. 17 variables were correlated with WB. Seven variables were predictors of having excellent WB. Stress/coping variables like ability to handle difficult problems or having the personal ability to deal with stress showed the strongest effects (respectively, OR = 1.790, 95% CI 1.232-2.601, OR = 2.118, CI 95% 1.324-3.387). This study underscores the importance of testing a multidimensional model accounting for a spectrum of relevant variables relating to WB.

Entities:  

Keywords:  Mental Health; Population-based study; Predictors; Well-being

Mesh:

Year:  2017        PMID: 28160126     DOI: 10.1007/s10597-017-0080-4

Source DB:  PubMed          Journal:  Community Ment Health J        ISSN: 0010-3853


  47 in total

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