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首页> 外文期刊>Occupational and environmental medicine >Burnout as a predictor of self-reported sickness absence among human service workers: prospective findings from three year follow up of the PUMA study.
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Burnout as a predictor of self-reported sickness absence among human service workers: prospective findings from three year follow up of the PUMA study.

机译：倦怠是人类服务人员自我报告的疾病缺席的预测指标：PUMA研究三年来的前瞻性研究结果。

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AIM: To investigate whether burnout predicts sickness absence days and sickness absence spells in human service workers. Method: A total of 824 participants from an ongoing prospective study in different human service sector organisations were eligible for the three year follow up analysis. Burnout was measured with the work related burnout scale of the Copenhagen Burnout Inventory. Sickness absence was measured with self-reported number of days and spells during the last 12 months before the baseline and the follow up survey. A Poisson regression model with a scale parameter was used to account for over dispersion. A linear regression model was used for analysing changes in burnout and absence between baseline and follow up. RESULTS: Burnout was prospectively associated with both sickness absence days and sickness absence spells per year. Differences in sickness absence days varied from a mean of 5.4 days per year in the lowest quartile of the work related burnout scale to a mean of 13.6 in the highest quartile. An increase of one standard deviation on the work related burnout scale predicted an increase of 21% in sickness absence days per year (rate ratio 1.21, 95% CI 1.11 to 1.32) after adjusting for gender, age, organisation, socioeconomic status, lifestyle factors, family status, having children under 7 years of age, and prevalence of diseases. Regarding sickness absence spells, an increase of one standard deviation on the work related burnout scale predicted an increase of 9% per year (rate ratio 1.09, 95% CI 1.02 to 1.17). Changes in burnout level from baseline to follow up were positively associated with changes in sickness absence days (estimate 1.94 days/year, SE 0.63) and sickness absence spell (estimate 0.34 spells/year, SE 0.08). CONCLUSION: The findings indicate that burnout predicts sickness absence. Reducing burnout is likely to reduce sickness absence.
机译：目的：调查倦怠是否可以预测服务人员的缺勤天数和缺勤时间。方法：来自不同人类服务部门组织正在进行的前瞻性研究的824名参与者有资格进行三年的随访分析。用哥本哈根倦怠量表的工作相关倦怠量表来衡量倦怠。根据基线和随访调查前最后12个月内自我报告的天数和拼写来衡量疾病的缺乏。具有比例参数的泊松回归模型用于解释过度分散。线性回归模型用于分析基线和随访之间的倦怠和缺勤的变化。结果：职业倦怠与每年的缺勤天数和缺勤时间都有关系。疾病缺勤天数的差异从工作相关倦怠量表中最低四分位数的每年平均5.4天到最高四分位数的平均13.6岁不等。在与性别，年龄，组织，社会经济状况，生活方式因素进行调整后，与工作相关的倦怠量表相比，一个标准偏差的增加预计每年病假天数将增加21％（比率1.21，95％CI 1.11至1.32）。 ，家庭状况，有7岁以下的孩子以及疾病的患病率。关于疾病缺席时间，与工作相关的倦怠量表的标准偏差增加一个，则预计每年将增加9％（比率1.09，95％CI 1.02至1.17）。从基线到随访的倦怠水平的变化与疾病缺勤天数（估计1.94天/年，SE 0.63）和疾病缺席咒语（估计0.34个法术/年，SE 0.08）的变化呈正相关。结论：研究结果表明倦怠预示着疾病的消失。减少倦怠可能会减少疾病的缺乏。

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