Dataset Information

Comparing Depressive Symptoms, Emotional Exhaustion, and Sleep Disturbances in Self-Employed and Employed Workers: Application of Approximate Bayesian Measurement Invariance.

ABSTRACT: Studies investigating differences in mental health problems between self-employed and employed workers have provided contradictory results. Many of the studies utilized scales validated for employed workers, without collecting validity evidence for making comparisons with self-employed. The aim of this study was (1) to collect validity evidence for three different scales assessing depressive symptoms, emotional exhaustion, and sleep disturbances for employed workers, and combinators; and (2) to test if these groups differed. We first conducted approximate measurement invariance analysis and found that all scales were invariant at the scalar level. Self-employed workers had least mental health problems and employed workers had most, but differences were small. Though we found the scales invariant, we do not find them optimal for comparison of means. To be more precise in describing differences between groups, we recommend using clinical cut-offs or scales developed with the specific purpose of assessing mental health problems at work.

SUBMITTER: Bergman LE

PROVIDER: S-EPMC7884631 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Comparing Depressive Symptoms, Emotional Exhaustion, and Sleep Disturbances in Self-Employed and Employed Workers: Application of Approximate Bayesian Measurement Invariance.

Bergman Louise E LE Bernhard-Oettel Claudia C Bujacz Aleksandra A Leineweber Constanze C Toivanen Susanna S

Frontiers in psychology 20210202

Studies investigating differences in mental health problems between self-employed and employed workers have provided contradictory results. Many of the studies utilized scales validated for employed workers, without collecting validity evidence for making comparisons with self-employed. The aim of this study was (1) to collect validity evidence for three different scales assessing depressive symptoms, emotional exhaustion, and sleep disturbances for employed workers, and combinators; and (2) to ...[more]

PMID: 33603692

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Project description:ObjectivesThis study aims to assess the heterogeneity of psychosocial working conditions of young workers by identifying subgroups of work characteristic configurations within young workers and to assess these subgroups' associations with emotional exhaustion.DesignLatent class analysis. Groups were formed based on 12 work characteristics (8 job demands and 4 job resources), educational level and sex. Differences in emotional exhaustion between subgroups were analysed using analysis of variance and post hoc comparisons.SettingData from the 2019 wave of the Netherlands Working Conditions Survey.Participants7301 individuals between the age of 18 and 30 years, who worked more than 16 hours per week.Main outcome measureEmotional exhaustion.ResultsFive subgroups of work characteristics could be identified and were labelled as: (1) 'low-complexity work' (24.4%), (2) 'office work' (32.3%), (3) 'manual and non-interpersonal work' (12.4%), (4) 'non-manual and interpersonal work' (21.0%), and (5) 'manual and interpersonal work' (9.9%). Mean scores for emotional exhaustion in the two interpersonal work groups (M=3.11, SD=1.4; M=3.45, SD=1.6) were significantly higher than in the first three groups (M=2.05, SD=1.1; M=1.98, SD=1.0; M=2.05, SD=1.1) (all 95% CIs excluding 0). Further, mean scores for emotional exhaustion were significantly higher in the 'manual and interpersonal work' group than in the 'non-manual and interpersonal work' group (95% CI 0.24, 0.45). All results could be replicated in the 2017 and 2021 waves of the Netherlands Working Conditions Survey.ConclusionsYoung workers reported heterogeneous work characteristic configurations with substantial differences in degrees of emotional exhaustion between the identified subgroups. Preventing emotional exhaustion should focus on the two interpersonal work subgroups, which showed a high degree of emotional exhaustion. In prevention efforts, these groups' configurations of work characteristics should be taken into account.

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Dataset Information

Comparing Depressive Symptoms, Emotional Exhaustion, and Sleep Disturbances in Self-Employed and Employed Workers: Application of Approximate Bayesian Measurement Invariance.

Publications

Comparing Depressive Symptoms, Emotional Exhaustion, and Sleep Disturbances in Self-Employed and Employed Workers: Application of Approximate Bayesian Measurement Invariance.

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