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Meta-regression analyses of relationships between burnout and depression with sampling and measurement methodological moderators.
Journal of Occupational Health Psychology ( IF 7.707 ) Pub Date : 2021-03-29 , DOI: 10.1037/ocp0000273
Scott T Meier 1 , Sunha Kim 1
Affiliation  

Despite 35 years of study, burnout researchers have failed to reach a consensus about whether burnout is distinct from depression. This review compiled reports containing zero-order correlations between scores on burnout, depression, and other measures of negative affect (NA) based on (a) reviews published by Kahill (1988), Glass and McKnight (1996), and Bianchi et al. (2015b), and (b) a search of PsycInfo using "depression" and "burnout" as search terms to find relevant studies published after 2014. The resulting data set contained 69 studies with 196 burnout-depression correlations based on 46,191 participants. We found an overall effect size of .492 between scores on burnout and depression measures (essentially equivalent to the .52 value reported in Koutsimani et al.'s, 2019, review) and an effect size of .546 between the Maslach Burnout Inventory emotional exhaustion scale and depression. Similarly, a correlation of .53 between burnout and NA measures is similar in size to the .46 correlation found by Koutsimani et al. Moderator analyses indicated that a larger burnout-depression correlation was associated with a higher proportion of female participants in a study, older participants, participants who had worked longer, and burnout measures with higher reliability estimates. The effects of age and years employed on the burnout-depression relationship suggest that repeated and negative work experiences are required for burnout to develop to the extent that its effects overlap with symptoms of depression. Conceptualizing the empirical relation between burnout and depression as a single point estimate may miss the more complex empirical picture. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

中文翻译:

使用抽样和测量方法调节器对倦怠和抑郁之间的关系进行元回归分析。

尽管进行了 35 年的研究,但倦怠研究人员未能就倦怠是否与抑郁症不同达成共识。本综述根据 Kahill (1988)、Glass 和 McKnight (1996) 以及 Bianchi 等人发表的综述 (a) 汇编了包含倦怠、抑郁和其他负面影响 (NA) 测量分数之间零阶相关性的报告。(2015b)和(b)使用“抑郁”和“倦怠”作为搜索词搜索 PsycInfo,以查找 2014 年之后发表的相关研究。结果数据集包含 69 项研究,基于 46,191 名参与者的 196 项倦怠-抑郁相关性。我们发现倦怠和抑郁测量得分之间的总体效应大小为 0.492(基本上相当于 Koutsimani 等人,2019 年评论中报告的 0.52 值),效应大小为 .492。546 Maslach Burnout Inventory 情绪衰竭量表和抑郁症之间。同样,倦怠和 NA 测量之间的相关性为 0.53,与 Koutsimani 等人发现的 0.46 相关性的大小相似。调节分析表明,较大的倦怠-抑郁相关性与研究中较高比例的女性参与者、年龄较大的参与者、工作时间较长的参与者以及具有较高可靠性估计的倦怠测量相关。年龄和工作年限对倦怠-抑郁关系的影响表明,重复和消极的工作经历是倦怠发展到其影响与抑郁症状重叠的程度所必需的。将倦怠和抑郁之间的经验关系概念化为单点估计可能会错过更复杂的经验图景。
更新日期:2021-03-29
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