Evidence map›Paper›PMID 37852771›Full record

ArticleBMJ open2023

Work characteristics and emotional exhaustion among young workers: a latent class analysis.

Malte van Veen, Roosmarijn Mc Schelvis, Trynke Hoekstra, Paulien M Bongers, Cécile Rl Boot, Karen M Oude Hengel

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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Malte van VeenAmsterdam Public Health, Societal Participation & Health, Amsterdam UMC, Amsterdam, The Netherlands malte.vanveen@amsterdamumc.nl.ORCID 0000-0002-8980-5432
Roosmarijn Mc SchelvisAmsterdam Public Health, Societal Participation & Health, Amsterdam UMC, Amsterdam, The Netherlands.
Trynke HoekstraDepartment of Health Sciences and Amsterdam Public Health research institute, Faculty of Science, VU University Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-0535-0056
Paulien M BongersUnit Healthy Living & Work, TNO Location Leiden Sylviusweg, Leiden, The Netherlands.
Cécile Rl BootAmsterdam Public Health, Societal Participation & Health, Amsterdam UMC, Amsterdam, The Netherlands.
Karen M Oude HengelUnit Healthy Living & Work, TNO Location Leiden Sylviusweg, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Burnout, ProfessionalMental HealthAdolescentAdultFemaleHumansLatent Class AnalysisMaleNetherlandsPrimary PreventionSurveys and QuestionnairesWorking Conditionsmental healthoccupational & industrial medicineprimary prevention

Identifiers

PMID37852771
PMCPMC10603524

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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.