Center of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland.
Department of Psychology, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
Int J Environ Res Public Health. 2022 Oct 11;19(20):13037. doi: 10.3390/ijerph192013037.
This meta-analysis summarized longitudinal findings pertaining to exhaustion's predictors. In so doing, our aim was ultimately to identify target factors for the prevention of burnout.
We searched for studies that (a) examined predictors of exhaustion longitudinally and (b) reported correlation coefficients as an effect estimate. We conducted our literature search in three databases: MEDLINE, PsycINFO, and Embase. We focused on studies published between January 1990 and November 2020. Predictors were grouped into families, subfamilies, and subgroups. A meta-analysis of z-transformed correlation coefficients (rho) was performed. The results were scrutinized in relation to studies' follow-up length.
We included 65 studies assessing 242 predictors of different types captured across different occupations. Our findings highlighted mostly weak associations (rho < 0.30). For six predictors-Job control, Job resources, Interactions at work, Communication and leadership, Job attitudes, and Work-family interface-longer length of follow-up involved weaker associations with exhaustion. The quality of the evidence available was generally low.
The evidence available does not point to clear target factors for preventing burnout. The decrease in associations as the follow-up length increases may suggest a relatively short latency period, followed by recovery. Higher-quality cohorts should be conducted to better understand the etiology and course of burnout.
本荟萃分析总结了与疲惫相关的预测因素的纵向研究结果。通过这样做,我们的最终目标是确定预防倦怠的目标因素。
我们搜索了(a)纵向研究疲惫预测因素和(b)报告相关系数作为效应估计的研究。我们在三个数据库中进行了文献检索:MEDLINE、PsycINFO 和 Embase。我们专注于 1990 年 1 月至 2020 年 11 月期间发表的研究。将预测因素分为家族、亚家族和亚组。对 z 转换相关系数(rho)进行荟萃分析。结果与研究的随访时间长度进行了审查。
我们纳入了 65 项研究,评估了 242 种不同职业中不同类型的预测因素。我们的研究结果主要强调了较弱的关联(rho < 0.30)。对于六个预测因素——工作控制、工作资源、工作中的相互作用、沟通和领导力、工作态度以及工作-家庭界面——较长的随访时间与疲惫的关联较弱。可用证据的质量普遍较低。
现有证据并未指出明确的预防倦怠的目标因素。随着随访时间的延长,关联的减少可能表明潜伏期相对较短,随后会恢复。应该进行更高质量的队列研究,以更好地了解倦怠的病因和病程。