职业倦怠作为人类服务工作者自我报告病假的预测指标：PUMA研究三年随访的前瞻性结果
Burnout as a predictor of self-reported sickness absence among human service workers: prospective findings from three year follow up of the PUMA study.
作者信息
Borritz M, Rugulies R, Christensen K B, Villadsen E, Kristensen T S
机构信息
National Institute of Occupational Health, Copenhagen, Denmark.
出版信息
Occup Environ Med. 2006 Feb;63(2):98-106. doi: 10.1136/oem.2004.019364.
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.
目的
调查职业倦怠是否可预测人类服务工作者的病假天数和病假次数。
方法
来自不同人类服务部门组织正在进行的一项前瞻性研究中的824名参与者符合三年随访分析的条件。使用哥本哈根职业倦怠量表中与工作相关的倦怠量表来测量职业倦怠。通过自我报告在基线和随访调查前最后12个月内的天数和次数来测量病假情况。使用具有尺度参数的泊松回归模型来处理过度离散问题。使用线性回归模型来分析基线和随访之间职业倦怠和缺勤情况的变化。
结果
职业倦怠与每年的病假天数和病假次数均存在前瞻性关联。病假天数的差异从工作相关倦怠量表最低四分位数组每年平均5.4天到最高四分位数组的平均13.6天不等。在调整了性别、年龄、组织、社会经济地位、生活方式因素、家庭状况、是否有7岁以下子女以及疾病患病率后，工作相关倦怠量表上增加一个标准差预计每年病假天数增加21%（率比1.21，95%置信区间1.11至1.32）。关于病假次数，工作相关倦怠量表上增加一个标准差预计每年增加9%（率比1.09，95%置信区间1.02至1.17）。从基线到随访期间职业倦怠水平的变化与病假天数的变化（估计值为1.94天/年，标准误为0.63）和病假次数的变化（估计值为0.34次/年，标准误为0.08）呈正相关。
结论
研究结果表明职业倦怠可预测病假情况。减少职业倦怠可能会减少病假。
Zotero 插件