The effect of loneliness on subjective well-being: evidence from the UK Household Longitudinal Study 2017–2021

Publication type

Journal Article

Author

Publication date

April 18, 2024

Summary:

Although loneliness is associated with lower levels of subjective well-being, little is known about the precise nature of this association. Theoretical arguments have indicated a negative effect of loneliness on well-being, but there are alternative explanations, such as the possibility that chronically unhappy people select themselves into loneliness. This study investigates whether loneliness is detrimental to subjective well-being by considering selection as a competing explanation. The analyses were based on three waves of panel data from Understanding Society, the UK Household Longitudinal Study (2017–2021, containing 85,083 observations from 31,223 individuals aged 16 to 103 years). Subjective well-being was measured using a single item capturing life satisfaction. Loneliness was measured both directly using a single item and indirectly using the three-item UCLA Loneliness Scale. First, pooled ordinary least squares (POLS) models were estimated to confirm previous cross-sectional findings. Subsequently, fixed-effects (FE) models were used to account for the possibility that chronically unhappy people select themselves into loneliness. The results of the POLS models showed that lonely people reported significantly lower levels of life satisfaction. This association persisted in the FE model, and the remaining association can be interpreted as evidence of the negative effect of loneliness on well-being. Further analyses showed that the results were similar for men and women and for younger and older people. Moreover, the results were remarkably robust across the two measures of loneliness and model specifications. Overall, the results support the claim that loneliness is detrimental to well-being. Thus, intervention strategies aimed at reducing loneliness may also be effective in improving well-being in the general population.

Published in

Applied Research in Quality of Life

DOI

https://doi.org/10.1007/s11482-024-10302-3

ISSN

18712584

Subjects

Notes

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/.

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