Soldevila-Domenech, NataliaGarcía Forero, CarlosAlayo, ItxasoCapella, JordinaColom, JoanMalmusi, Davide, 1980-Mompart, AnnaMortier, PhilippePuértolas Gracia, BeatrizSánchez, NéstorSchiaffino, AnnaVilagut Saiz, Gemma, 1975-Alonso Caballero, Jordi2021-05-112021-05-112021Soldevila-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/s11136-021-02813-50962-9343http://hdl.handle.net/10230/47385Purpose: 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.application/pdfeng© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11136-021-02813-5Directed acyclic graphsHealth determinantsHealth surveyMental healthWEMWBSWell-beinginfo:eu-repo/semantics/openAccess