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. 2016 Aug;25(4):370-83.
doi: 10.1017/S2045796015000505. Epub 2015 Jun 16.

Coping strategies and distress reduction in psychological well-being? A structural equation modelling analysis using a national population sample

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Coping strategies and distress reduction in psychological well-being? A structural equation modelling analysis using a national population sample

X Meng et al. Epidemiol Psychiatr Sci. 2016 Aug.

Abstract

Background: Little is understood about of the role of coping strategies in psychological well-being (PWB) and distress for the general population and different physical and psychiatric disease groups. A thorough examination of these relationships may provide evidence for the implementation of public mental health promotion and psychiatric disease prevention strategies aimed at improving the use of positive coping approaches or addressing the causes and maintainers of distress. The present study using a structural equation modelling (SEM) approach and nationally representative data on the Canadian population investigates the relationships among PWB, distress and coping strategies and identifies major factors related to PWB for both the general population and diverse-specific disease groups.

Methods: Data examined were from the Canadian Community Health Survey of Mental Health and Well-being (CCHS 1.2), a large national survey (n = 36 984). We applied exploratory factor analysis (EFA), confirmatory factor analysis and SEM to build structural relationships among PWB, distress and coping strategies in the general population.

Results: Both SEM measurement and structure models provided a good fit. Distress was positively related to negative coping and negatively related to positive coping. Positive coping indicated a higher level of PWB, whereas negative coping was associated with a lower level of PWB. PWB was negatively related to distress. These same relationships were also found in the population subgroups. For the population with diseases (both physical and psychiatric diseases, except agoraphobia), distress was the more important factor determining subjective PWB than the person's coping strategies, whereas, negative coping had a major impact on distress in the general population. Strengths and limitations were also discussed.

Conclusions: Our findings have practical implications for public psychiatric disease intervention and mental health promotion. As previously noted positive/adaptive coping increased the level of PWB, whereas negative/maladaptive coping was positively related to distress and negatively related to PWB. Distress decreased the level of PWB. Our findings identified major correlates of PWB in both the general population and population subgroups. Our results provide evidence for the differential use of intervention tactics among different target audiences. In order to improve the mental health of the general population public mental health promotion should focus on strategies that reduce negative coping at a population level, whereas clinicians treating individual clients should make the reduction of distress their primary target to maintain or improve patients' PWB.

Keywords: Epidemiology; factor analysis; mental health; psychiatric services; stress.

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Figures

Fig. 1.
Fig. 1.
The processes of data analysis.
Fig. 2.
Fig. 2.
The final structural model for the relationships among ways of coping, distress and PWB. Note: This is a simplified figure to represent standardised coefficients of the final structural model for the relationships among ways of coping, distress and PWB. Distress was related positively to negative coping and negatively related to positive coping. Positive coping was predictive of a higher level of PWB, including a direct effect between positive coping and PWB and an indirect effect between positive coping and PWB mediated by distress.

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