Amsterdam Public Health, Societal Participation & Health, Amsterdam UMC, Amsterdam, The Netherlands
Unit Healthy Living & Work, TNO Location Leiden Sylviusweg, Leiden, The Netherlands.
BMJ Open. 2023 Oct 18;13(10):e074386. doi: 10.1136/bmjopen-2023-074386.
This 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.
Latent 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.
Data from the 2019 wave of the Netherlands Working Conditions Survey.
7301 individuals between the age of 18 and 30 years, who worked more than 16 hours per week.
Emotional exhaustion.
Five 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.
Young 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.
本研究旨在通过识别年轻工作者工作特征配置中的亚组,评估年轻工作者的心理社会工作条件的异质性,并评估这些亚组与情绪耗竭的关联。
潜在类别分析。基于 12 项工作特征(8 项工作要求和 4 项工作资源)、教育水平和性别来形成组。使用方差分析和事后比较分析亚组之间情绪耗竭的差异。
荷兰工作条件调查 2019 年的调查数据。
年龄在 18 至 30 岁之间,每周工作超过 16 小时的 7301 人。
情绪耗竭。
可以识别出五个工作特征亚组,并将其标记为:(1)“低复杂性工作”(24.4%),(2)“办公室工作”(32.3%),(3)“体力劳动和非人际工作”(12.4%),(4)“非体力劳动和人际工作”(21.0%),和(5)“体力劳动和人际工作”(9.9%)。两个人际工作亚组的情绪耗竭平均值(M=3.11,SD=1.4;M=3.45,SD=1.6)显著高于前三个亚组(M=2.05,SD=1.1;M=1.98,SD=1.0;M=2.05,SD=1.1)(所有 95%置信区间均排除 0)。此外,“体力劳动和人际工作”组的情绪耗竭平均值显著高于“非体力劳动和人际工作”组(95%置信区间 0.24,0.45)。所有结果在荷兰工作条件调查 2017 年和 2021 年的调查中均可重复。
年轻工作者报告了工作特征配置的异质性,不同亚组之间的情绪耗竭程度存在显著差异。预防情绪耗竭应重点关注两个人际工作亚组,这两个亚组表现出高度的情绪耗竭。在预防工作中,应考虑这些组的工作特征配置。