The relationship between areas of life satisfaction, personality, and overall life satisfaction: An integrated account.

Big Five health satisfaction job satisfaction life satisfaction personality

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2022
Historique:
received: 11 03 2022
accepted: 28 06 2022
entrez: 10 10 2022
pubmed: 11 10 2022
medline: 11 10 2022
Statut: epublish

Résumé

A substantial amount of research has been conducted using a variety of methodological approaches to determine what influences life satisfaction. The bottom-up theory considers overall life satisfaction as a function of various areas of life satisfaction, whereas the top-down theory considers the areas of life satisfaction as a function of dispositional factors such as personality. We examined these models in a large-scale United Kingdom survey. Consistent with other studies, we found that both the bottom-up and top-down models of life satisfaction are supported in the United Kingdom by demonstrating that demographics, areas of life satsifaction, and personality traits can explain a significant portion of variances in overall areas of life satisfaction. We propose that future studies in life satisfaction research should consider the integrated account of life satisfaction rather than a unitary bottom-up or top-down perspective.

Identifiants

pubmed: 36211891
doi: 10.3389/fpsyg.2022.894610
pmc: PMC9532945
doi:

Types de publication

Journal Article

Langues

eng

Pagination

894610

Informations de copyright

Copyright © 2022 Malvaso and Kang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Antonio Malvaso (A)

Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.

Weixi Kang (W)

Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, London, United Kingdom.

Classifications MeSH