Gig work dependence and psychological distress in chronic illness

Chronic illness is associated with lower quality of life, yet it remains unclear whether this association differs by employment arrangements, particularly gig work. Using longitudinal data (2019-2024) from a nationally representative sample of 22,712 British workers, we examined how regular and gig employment moderate the association between chronic illness and psychological distress (GHQ-12; range: 0-12). Random-effects models indicate that individuals with chronic illness report 1.44 points higher psychological distress than those without such conditions (p < 0.001). This association is weaker among individuals in regular employment and low-dependence gig work, who report 0.64 and 0.56 points lower psychological distress, respectively, than those who are unemployed (p < 0.001). Although women with chronic illness experience greater psychological distress overall, among men with chronic illness, high-dependence gig work is associated with a 1.60-point increase in psychological distress relative to regular employment (p = 0.004), whereas no such pattern is observed among women. Taken together, the moderating role of gig work in health-related quality of life varies with workers' dependence on gig work. Reducing the mental health burden of chronic illness may require access not only to employment, but also to high-quality jobs.

Authors

Institutions

Publication Details

Journal
SSM - Population Health
Published
2026-04-27
DOI
https://doi.org/10.1016/j.ssmph.2026.101927
Primary Topic
Workplace Health and Well-being
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gig work dependence and psychological distress in chronic illness

Lambert Zixin Li, Senhu Wang, Zaiyue Wang
SSM - Population Health
Workplace Health and Well-being
article

Gig work dependence and psychological distress in chronic illness

Lambert Zixin Li, Senhu Wang, Zaiyue Wang
article en

Abstract

Chronic illness is associated with lower quality of life, yet it remains unclear whether this association differs by employment arrangements, particularly gig work. Using longitudinal data (2019-2024) from a nationally representative sample of 22,712 British workers, we examined how regular and gig employment moderate the association between chronic illness and psychological distress (GHQ-12; range: 0-12). Random-effects models indicate that individuals with chronic illness report 1.44 points higher psychological distress than those without such conditions (p < 0.001). This association is weaker among individuals in regular employment and low-dependence gig work, who report 0.64 and 0.56 points lower psychological distress, respectively, than those who are unemployed (p < 0.001). Although women with chronic illness experience greater psychological distress overall, among men with chronic illness, high-dependence gig work is associated with a 1.60-point increase in psychological distress relative to regular employment (p = 0.004), whereas no such pattern is observed among women. Taken together, the moderating role of gig work in health-related quality of life varies with workers' dependence on gig work. Reducing the mental health burden of chronic illness may require access not only to employment, but also to high-quality jobs.

SSM - Population HealthVol. 34
National University of Singapore (SG), Tohoku University (JP), Renmin University of China (CN)
National University of Singapore, Ministry of Education - Singapore, National Natural Science Foundation of China
Openalex Percentile: Top 15%
Workplace Health and Well-being
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.