Kreuzfeld Steffi, Seibt Reingard
University of Rostock, Rostock, Germany (Institute for Preventive Medicine, Rostock University Medical Centre).
Int J Occup Med Environ Health. 2024 Dec 9;37(5):508-523. doi: 10.13075/ijomeh.1896.02454. Epub 2024 Dec 5.
Many teachers worldwide retire early for health or personal reasons. Predictors could help to identify teachers at risk in order to counteract this development. The study therefore investigates whether the intention to retire can be predicted by work ability, psychosocial work stress and work behaviour.
The data came from a representative cross-sectional study of German secondary school teachers (N = 18 971). The analyses included 1496 full-time teachers aged ≥50 years (58% female). Teachers were assigned to 1 of 2 groups based on their intention to take early or regular retirement. A binomial regression model was used to analyze the predictive power of the intention to retire for the following factors: work ability index (WAI) - factor 1, effort-reward ratio (ER ratio), overcommitment (OC), age and gender. In addition, a qualitative analysis of the teachers' suggestions was carried out regarding which measures would make the regular retirement age attainable.
Half (49%) of the teachers intended to retire early, with the proportion of women being around twice as high (67%) as men (33%) (d = 0.37). The analyzed predictors explained a total of 22% of the variance. The WAI factor 1 proved to be the most important predictor (variance explanation: 14%). Effort-reward ratio and OC each contributed around 10% to the variance explanation of the retirement intention. The probability of taking early retirement increased with decreasing work ability, increasing ER ratio and a high tendency to overcommit; age and gender were of secondary importance. Teachers suggested a reduction in compulsory hours (46%), relief from extracurricular tasks (45%) and smaller classes (29%) as decisive measures for achieving regular retirement.
Work ability index factor 1, ER ratio and OC could be used as part of occupational health prevention programmes to identify and advise older teachers at risk who need support. Int J Occup Med Environ Health. 2024;37(5):508-23.
全球许多教师因健康或个人原因提前退休。预测因素有助于识别有风险的教师,以应对这一趋势。因此,本研究调查工作能力、心理社会工作压力和工作行为是否能够预测退休意愿。
数据来自一项对德国中学教师具有代表性的横断面研究(N = 18971)。分析纳入了1496名年龄≥50岁的全职教师(58%为女性)。根据教师提前退休或正常退休的意愿,将其分为两组。采用二项回归模型分析退休意愿对以下因素的预测能力:工作能力指数(WAI)-因素1、努力回报比(ER比)、过度投入(OC)、年龄和性别。此外,对教师关于哪些措施能够实现正常退休年龄的建议进行了定性分析。
一半(49%)的教师打算提前退休,女性比例(67%)约为男性(33%)的两倍(d = 0.37)。所分析的预测因素总共解释了22%的方差。WAI因素1被证明是最重要的预测因素(方差解释率:14%)。努力回报比和OC对退休意愿的方差解释率各约为10%。提前退休的可能性随着工作能力下降、ER比增加和过度投入倾向增强而增加;年龄和性别则次要。教师建议减少强制工作时长(46%)、减轻课外任务(45%)和缩小班级规模(29%)作为实现正常退休的决定性措施。
工作能力指数因素1、ER比和OC可作为职业健康预防计划的一部分,用于识别需要支持的有风险的年长教师并为其提供建议。《国际职业医学与环境卫生杂志》。2024;37(5):508 - 23。