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.