Personality–Burnout Associations in Nurses: Data and Materials for a Systematic Methodological Review

Research hypothesis and purpose This dataset supports a systematic review and meta-analysis examining associations between personality traits and burnout among practicing nurses. The review also evaluated how methodological differences across studies affect comparability and quantitative synthesis. What the data contain The dataset includes review-level information from 31 included studies: country, study design, nursing population, personality framework and instrument, burnout instrument, principal findings, and identification of the 10 studies contributing comparable Pearson correlations to the primary meta-analysis. It also contains pooled results for neuroticism, extraversion, agreeableness, conscientiousness, and openness. How the data were gathered Studies were identified through systematic searches of PubMed/MEDLINE, Scopus, Web of Science, Embase, and PsycINFO from database inception to 31 March 2026. Eligible studies involved practicing nurses, used validated personality measures, and assessed burnout using validated instruments. The review followed PRISMA 2020 reporting and JBI evidence-synthesis guidance. Notable findings Ten studies comprising 3,599 nurses were quantitatively synthesized. Neuroticism showed the strongest positive association with burnout (r = 0.416, 95% CI 0.270–0.543). Extraversion (r = −0.259), agreeableness (r = −0.276), conscientiousness (r = −0.258), and openness (r = −0.104) were inversely associated with burnout. Heterogeneity was substantial across traits (I² = 77.14%–96.19%). Interpretation and use These are review-level data, not individual participant data. Similar terminology across studies does not necessarily indicate methodological equivalence because personality frameworks, burnout instruments, populations, and effect metrics differed. The dataset can therefore be used to examine methodological compatibility, identify studies suitable for pooling, and support reproducible evidence synthesis. Limitations The files do not contain individual-level participant data, the complete per-study correlation matrix for all five traits, or the original R/metafor analysis code.研究假设与研究目的 本数据集支持一项系统综述与元分析，旨在探讨在职护士的人格特质与职业倦怠之间的关联，并评估不同研究的方法学差异对研究可比性及定量证据合成的影响。 数据集内容 本数据集涵盖纳入的31项研究的综述层面信息，具体包括研究开展国家、研究设计、护士研究人群、人格理论框架与测评工具、职业倦怠测评工具、主要研究结果，以及为本次元分析提供可比皮尔逊相关系数的10项研究的标识信息。此外，数据集还包含神经质、外向性、宜人性、尽责性及开放性的合并分析结果。 数据采集方式 研究通过系统性检索PubMed/MEDLINE、Scopus、Web of Science、Embase及PsycINFO数据库建库至2026年3月31日的文献得以识别。纳入标准为：以在职护士为研究对象，采用经过验证的人格测评工具，并使用经过验证的量表评估职业倦怠。本综述遵循PRISMA 2020报告规范及乔安娜布里格斯研究所（Joanna Briggs Institute，JBI）证据合成指南开展。 核心研究结果 共纳入10项研究，涉及3599名护士并完成定量合成分析。神经质与职业倦怠呈现最强的正相关（r=0.416，95%CI：0.270~0.543）。外向性（r=-0.259）、宜人性（r=-0.276）、尽责性（r=-0.258）及开放性（r=-0.104）与职业倦怠呈负相关。各特质的研究异质性均较高（I²=77.14%~96.19%）。 解读与使用说明 本数据集为综述层面数据，而非个体参与者数据。不同研究中使用的相似术语并不必然代表方法学等效性，因为人格理论框架、职业倦怠测评工具、研究人群及效应量指标均可能存在差异。因此，本数据集可用于考察方法学兼容性、筛选适合进行合并分析的研究，以及支持可复现的证据合成工作。 局限性说明 本数据集未包含个体水平的参与者数据、全部五项特质的完整逐研究相关矩阵，也未包含原始的R/metafor分析代码。