Evidence map›Paper›PMID 36178635›Full record

ArticleHealth economics review2022

Does less working time improve life satisfaction? Evidence from European Social Survey.

Qinglong Shao

Abstract read
In one paragraph

Article in Health economics review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Qinglong ShaoInstitute of Chinese Studies, Freie Universität Berlin, Fabeckstr, 23-25, 14195, Berlin, Germany. shao.qinglong@foxmail.com.ORCID http://orcid.org/0000-0003-1636-7045

Funding

Alexander von Humboldt-Stiftung CHN 1194898 HFST-P
6 · The paper itself

Abstract

backgroundWorktime is one of the main drivers of life satisfaction, and a balanced distribution of working hours and leisure hours directly impacts feelings of well-being. Based on previous studies, we seek to confirm this relationship in the European context and explore other potential driving forces of life satisfaction. Health condition as the mediating variable is also examined.

methodsThis article uses an ordered probit model to analyze the impact of working time on life satisfaction using data extracted from the most recent round (wave 10) of the European Social Survey (ESS). Hypotheses are proposed to test the impact of working time on life satisfaction, the mediating effect of health in the worktime-satisfaction nexus, and the effects of social inclusion, social trust, feelings of safety, and digitalization on life satisfaction.

resultsThe results reveal a negative and significant correlation between hours of work and life satisfaction, thus implying that a shorter working week can improve Europeans' life satisfaction. Health is found to be an important intermediate variable that plays an essential role in the dynamic through which working times influence life satisfaction. Further, we find that those in the middle class prefer to work shorter hours to achieve a higher feeling of satisfaction and that high earners to a lesser extent, while low earners generally show no preference. Employees of private firms are more satisfied with shorter working hours, while satisfaction for those working in public institutions is not affected by changes in hours worked. Finally, we verify the robustness of our estimations by replacing life satisfaction with happiness.

conclusionsWorking fewer hours contributes to higher life satisfaction in Europe, and health plays an essential mediating role in this relationship. Social inclusion, social trust, feelings of safety and digitalization all play a factor in improving life satisfaction. Compared to other job categories, private sector employees can achieve greater life satisfaction from reducing their total working time.

Indexed as

HealthJob categoryLife satisfactionOrdered probit modelWorking time

Identifiers

PMID36178635
PMCPMC9523643

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.