Mental well-being of the general population: direct and indirect effects of socioeconomic, relational and health factors

Soldevila-Domenech, Natalia; García Forero, Carlos; Alayo, Itxaso; Capella, Jordina; Colom, Joan; Malmusi, Davide, 1980-; Mompart, Anna; Mortier, Philippe; Puértolas Gracia, Beatriz; Sánchez, Néstor; Schiaffino, Anna; Vilagut Saiz, Gemma, 1975-; Alonso Caballero, Jordi

doi:http://dx.doi.org/10.1007/s11136-021-02813-5

Mental well-being of the general population: direct and indirect effects of socioeconomic, relational and health factors

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Soldevila-Domenech N, Forero CG, Alayo I, Capella J, Colom J, Malmusi D, Mompart A, Mortier P, Puértolas B, Sánchez N, Schiaffino A, Vilagut G, Alonso J. Mental well-being of the general population: direct and indirect effects of socioeconomic, relational and health factors. Qual Life Res. 2021 Aug;30(8):2171-85. DOI: 10.1007/s11136-021-02813-5

Abstract

Purpose: The aim of this study was to analyse the association between individual mental well-being and social, economic, lifestyle and health factors. Methods: Cross-sectional study on a representative sample of 13,632 participants (> 15y/o) from the Catalan Health Interview Survey 2013-2016 editions. Mental well-being was assessed with the Warwick-Edinburg Mental Well-being Scale (WEMWBS). Linear regressions were fitted to associate well-being and sociodemographic, relational, lifestyle and health variables according to minimally sufficient adjustment sets identified using directed acyclic graphs. Predictors entered the model in blocks of variable types and analysed individually. Direct and total effects were estimated. Results: Health factors significantly contributed to mental well-being variance. Presence of a mental disorder and self-reported health had the largest effect size (eta2 = 13.4% and 16.3%). The higher individual impact from a variable came from social support (β = - 12.8, SE = 0.48, eta2 = 6.3%). A noticeable effect gradient (eta2 = 4.2%) from low to high mental well-being emerged according to economic difficulties (from β = 1.59, SE = 0.33 for moderate difficulties to β = 6.02 SE = 0.55 for no difficulties). Younger age (β = 5.21, SE = 0.26, eta2 = 3.4%) and being men (β = 1.32, SE = 0.15, eta2 = 0.6%) were associated with better mental well-being. Direct gender effects were negligible. Conclusions: This study highlights health and social support as the most associated factors with individual mental well-being over socioeconomic factors. Interventions and policies aimed to these factors for health promotion would improve population mental well-being.