The Relationship Between Anxiety and Employment Status in a German Working‐Age Population: Findings on Sex‐Specific Prevalence Rates and Associated Factors of Anxiety From the LIFE‐Adult‐Study

<b>Introduction:</b> Anxiety disorders are among the most prevalent mental illnesses worldwide, with a 12-month prevalence rate of 14%-15.3%. Prior research has demonstrated a correlation between unemployment and impaired mental health. The primary objective of this study is to examine the relationship between anxiety and employment status in Germany. <b>Methods:</b> The sample consisted of 4885 working-age participants (18-65 years) from the baseline survey of a population-based cohort study. Anxiety was assessed using the General Anxiety Disorder Scale-7 (GAD-7). Employment status was divided into four groups: full-time employment (FTE group), part-time employment (PTE group), ALG I (ALG I group, being unemployed receiving entitlement-based benefits), and ALG II (ALG II group, being unemployed receiving means-tested benefits). Negative binomial regressions were conducted to examine the association between anxiety, employment status, sociodemographic variables (age, sex, marital status, and education), and social resources (Lubben Social Network Scale 6 [LSNS-6]). <b>Results:</b> The prevalence of anxiety symptoms (FTE group: 5.0%, PTE group: 4.8%, ALG I group: 2.7%, and ALG II group: 17.6%) differed between employment status groups. The ALG II group exhibited a markedly elevated prevalence compared to all other groups (<i>p</i> < 0.001). The prevalence of anxiety symptoms was higher among females in the FTE group (7.6%) compared to males (2.9%) in the same category (<i>p</i> < 0.001). The initial regression model indicated a statistically significant association between anxiety symptoms and the ALG II group (<i>p</i> < 0.001) and the PTE group (<i>p</i>=0.006). After including additional variables, this effect maintained its statistical significance. Factors associated with a higher risk of anxiety symptoms were female sex (<i>p</i> < 0.001), low educational level (<i>p</i>=0.007), and less social resources (<i>p</i> < 0.001). <b>Conclusion:</b> Unemployed individuals who receive ALG II are at the highest risk of developing anxiety symptoms among those who are able to work. These findings suggest the need for targeted psychosocial and occupational support for unemployed individuals receiving ALG II.

Authors

Institutions

Publication Details

Journal
Depression and Anxiety
Published
2025-01-01
DOI
https://doi.org/10.1155/da/1883623
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

The Relationship Between Anxiety and Employment Status in a German Working‐Age Population: Findings on Sex‐Specific Prevalence Rates and Associated Factors of Anxiety From the LIFE‐Adult‐Study

Andreas Hinz, Toralf Kirsten, Nigar Reyes, Markus Loeffler et al.
Depression and Anxiety
Employment and Welfare Studies
article

The Relationship Between Anxiety and Employment Status in a German Working‐Age Population: Findings on Sex‐Specific Prevalence Rates and Associated Factors of Anxiety From the LIFE‐Adult‐Study

Andreas Hinz, Toralf Kirsten, Nigar Reyes, Markus Loeffler, Christoph Engel, Alexander Pabst, Andrea Zülke, Margrit Löbner, Heide Glaesmer, Steffi Gerlinde Riedel-Heller, Charlyn Görres
article en

Abstract

<b>Introduction:</b> Anxiety disorders are among the most prevalent mental illnesses worldwide, with a 12-month prevalence rate of 14%-15.3%. Prior research has demonstrated a correlation between unemployment and impaired mental health. The primary objective of this study is to examine the relationship between anxiety and employment status in Germany. <b>Methods:</b> The sample consisted of 4885 working-age participants (18-65 years) from the baseline survey of a population-based cohort study. Anxiety was assessed using the General Anxiety Disorder Scale-7 (GAD-7). Employment status was divided into four groups: full-time employment (FTE group), part-time employment (PTE group), ALG I (ALG I group, being unemployed receiving entitlement-based benefits), and ALG II (ALG II group, being unemployed receiving means-tested benefits). Negative binomial regressions were conducted to examine the association between anxiety, employment status, sociodemographic variables (age, sex, marital status, and education), and social resources (Lubben Social Network Scale 6 [LSNS-6]). <b>Results:</b> The prevalence of anxiety symptoms (FTE group: 5.0%, PTE group: 4.8%, ALG I group: 2.7%, and ALG II group: 17.6%) differed between employment status groups. The ALG II group exhibited a markedly elevated prevalence compared to all other groups (<i>p</i> < 0.001). The prevalence of anxiety symptoms was higher among females in the FTE group (7.6%) compared to males (2.9%) in the same category (<i>p</i> < 0.001). The initial regression model indicated a statistically significant association between anxiety symptoms and the ALG II group (<i>p</i> < 0.001) and the PTE group (<i>p</i>=0.006). After including additional variables, this effect maintained its statistical significance. Factors associated with a higher risk of anxiety symptoms were female sex (<i>p</i> < 0.001), low educational level (<i>p</i>=0.007), and less social resources (<i>p</i> < 0.001). <b>Conclusion:</b> Unemployed individuals who receive ALG II are at the highest risk of developing anxiety symptoms among those who are able to work. These findings suggest the need for targeted psychosocial and occupational support for unemployed individuals receiving ALG II.

Depression and AnxietyVol. 2025(1)
University Hospital Leipzig (DE), Leipzig University (DE)
European Commission, Universität Leipzig, Freistaat Sachsen, European Regional Development Fund
Openalex Percentile: Top 70%
Employment and Welfare Studies
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.