Cited by 2,003Psychological Well-being and Life SatisfactionAging and Gerontology ResearchQuality of Life Measurement

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Advances in subjective well-being research

Diener, Ed, Oishi, Shigehiro, Tay, Louis·2018·Nature Human Behaviour

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Abstract

The empirical science of subjective well-being, popularly referred to as happiness or satisfaction, has grown enormously in the past decade. In this Review, we selectively highlight and summarize key researched areas that continue to develop. We describe the validity of measures and their potential biases, as well as the scientific methods used in this field. We describe some of the predictors of subjective well-being such as temperament, income and supportive social relationships. Higher subjective well-being has been associated with good health and longevity, better social relationships, work performance and creativity. At the community and societal levels, cultures differ not only in their levels of well-being but also to some extent in the types of subjective well-being they most value. Furthermore, there are both universal and unique predictors of subjective well-being in various societies. National accounts of subjective well-being to help inform policy decisions at the community and societal levels are now being considered and adopted. Finally we discuss the unknowns in the science and needed future research.

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Authors: Diener, E., Oishi, S., & Tay, L.
Affiliations: University of Utah (US)
University of Virginia (US)
Purdue University West Lafayette (US)
Corresponding author: Diener, Ed
ORCID: Diener, Ed
Oishi, Shigehiro
Tay, Louis
Venue: Nature Human Behaviour
Publisher: Springer Science and Business Media LLC
Published: 2018-02-12
Volume: 2
Issue: 4
Pages: 253-260
ISSN: 2397-3374 (ISSN-L)
DOI: 10.1038/s41562-018-0307-6
OpenAlex: W2793738252
Cited by: 2,003
References: 134
Citations by year: 2026: 441 · 2025: 408 · 2024: 313 · 2023: 304 · 2022: 216 · 2021: 152 · 2020: 100 · 2019: 51 · 2018: 16
FWCI: 12.42
Type: journal article
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Nature Human Behaviour (publishedVersion)
PubMed (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
Social Sciences › Sociology and Political Science › Quality of Life Measurement
Keywords: subjective well-being, happiness, life satisfaction, measurement bias, temperament, income, interpersonal relationships, health and longevity, employee performance, creativity, cross-cultural comparison, policy
MeSH terms: Culture, Happiness, Humans, Personal Satisfaction, Research Design, Policy

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