A twin study of employment uncertainty and sickness absence due to mental disorders accounting for familial factors and personality

Abstract While both insecure employments and sickness absence due to mood, anxiety, and stress-related disorders are common on the labor market and pose major public health concerns, their interrelations are not well understood. This prospective twin study examined the association between employment uncertainty and sickness absence due to mental disorders, accounting for unmeasured potential confounding by genetics and shared early environment and assessing the impact of personality. The study was performed using survey and register data from 9,326 twins derived from the Swedish Twin project of Disability Pension and Sickness Absence (STODS). Logistic regression estimated odds of medically certified sickness absence benefits following employment uncertainty. Co-twin control analyses using conditional logistic regression addressed unmeasured confounding. Interactions with extraversion and neuroticism were assessed on both multiplicative and additive scales. Employment uncertainty was associated with sickness absence due to mood, anxiety, and stress-related disorders (adjusted OR 1.46, 95% CI 1.30–1.64) in the overall sample. In co-twin control analyses ( n = 434 pairs) the association was attenuated (OR 1.09, 95% CI 0.75–1.58), suggesting that the observed association may be explained by genetics and/or shared early environment. No clear evidence of moderation by personality was observed, although findings for neuroticism were inconsistent.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-09-29
DOI
https://doi.org/10.1038/s41598-026-73388-9
Primary Topic
Workplace Health and Well-being
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A twin study of employment uncertainty and sickness absence due to mental disorders accounting for familial factors and personality

Pia Svedberg, Jurgita Narusyte, Linda L. Magnusson Hanson, Maria Wijkander et al.
Scientific Reports
Workplace Health and Well-being
article

A twin study of employment uncertainty and sickness absence due to mental disorders accounting for familial factors and personality

Pia Svedberg, Jurgita Narusyte, Linda L. Magnusson Hanson, Maria Wijkander, Sandra Blomqvist, Petra Lindfors, Iman Alaie
article en

Abstract

Abstract While both insecure employments and sickness absence due to mood, anxiety, and stress-related disorders are common on the labor market and pose major public health concerns, their interrelations are not well understood. This prospective twin study examined the association between employment uncertainty and sickness absence due to mental disorders, accounting for unmeasured potential confounding by genetics and shared early environment and assessing the impact of personality. The study was performed using survey and register data from 9,326 twins derived from the Swedish Twin project of Disability Pension and Sickness Absence (STODS). Logistic regression estimated odds of medically certified sickness absence benefits following employment uncertainty. Co-twin control analyses using conditional logistic regression addressed unmeasured confounding. Interactions with extraversion and neuroticism were assessed on both multiplicative and additive scales. Employment uncertainty was associated with sickness absence due to mood, anxiety, and stress-related disorders (adjusted OR 1.46, 95% CI 1.30–1.64) in the overall sample. In co-twin control analyses ( n = 434 pairs) the association was attenuated (OR 1.09, 95% CI 0.75–1.58), suggesting that the observed association may be explained by genetics and/or shared early environment. No clear evidence of moderation by personality was observed, although findings for neuroticism were inconsistent.

Scientific ReportsVol. 16(1)
Uppsala University (SE), Stockholm University (SE), Karolinska Institutet (SE)
Decent work and economic growth
Openalex Percentile: Top 7%
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.