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EN
Objectives 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. Material and Methods 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. Results 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. Conclusions 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.
EN
Objectives: Limited research on the health situation of teachers on long-term sick leave is available. The aim of this study has been to describe the health status of female teachers on long-term sick leave (LSFT) in comparison to working female teachers (WFT) and to determine predictors for their state of mental health (MH) and cardiovascular fitness (CF). Material and Methods: Twenty-eight LSFT and 300 WFT (average age: 53±5 years old) participated in a screening diagnostic inventory. Mental health, CF, blood pressure (BP), body mass index (BMI), body fat mass (BFM), health behavior (smoking, alcohol intake, physical activity) and disease burden (DB – number of medical diagnoses) were analyzed for the purpose of characterization of the health status. The multiple linear regression analysis was performed to identify predictors for the state of MH and CF. Results: Adverse values for the MH but also for CF, BFM and the DB (median of medical diagnoses: LSFT: 5; WFT: 2) among the LSFT in comparison to the WFT were confirmed. Additionally, the part of smokers among LSFT (25%) was higher (WFT: 8%). In contrast, the WFT (61%) were much more affected by an elevated BP (LSFT: 26%). Disease burden proved as the strongest predictor for MH of the female teachers. Age, BMI and DB proved as predictors for CF. Conclusions: Health-related differences between long-term sick leave and working teachers were particularized and a link between physical and mental health among teachers was quantified. Therefore, health-related concepts for teachers should equally focus on physical and psychological aspects. The relevance of regular well-structured occupational health check-ups should be brought to the attention of the profession to prevent diseases and early retirements. Int J Occup Med Environ Health 2018;31(2):227–242
3
Content available Predictors of mental health in female teachers
70%
EN
Objective: Teaching profession is characterised by an above-average rate of psychosomatic and mental health impairment due to work-related stress. The aim of the study was to identify predictors of mental health in female teachers. Material and Methods: A sample of 630 female teachers (average age 47±7 years) participated in a screening diagnostic inventory. Mental health was surveyed with the General Health Questionnaire GHQ-12. The following parameters were measured: specific work conditions (teacher-specific occupational history), scales of the Effort-Reward-Imbalance (ERI) Questionnaire as well as cardiovascular risk factors, physical complaints (BFB) and personal factors such as inability to recover (FABA), sense of coherence (SOC) and health behaviour. Results: First, mentally fit (MH⁺) and mentally impaired teachers (MH⁻) were differentiated based on the GHQ-12 sum score (MH⁺: < 5; MH⁻: ≥ 5); 18% of the teachers showed evidence of mental impairment. There were no differences concerning work-related and cardiovascular risk factors as well as health behaviour between MH⁺ and MH⁻. Binary logistic regressions identified 4 predictors that showed a significant effect on mental health. The effort-reward-ratio proved to be the most relevant predictor, while physical complaints as well as inability to recover and sense of coherence were identified as advanced predictors (explanation of variance: 23%). Conclusion: Contrary to the expectations, classic work-related factors can hardly contribute to the explanation of mental health. Additionally, cardiovascular risk factors and health behaviour have no relevant influence. However, effort-reward-ratio, physical complaints and personal factors are of considerable influence on mental health in teachers. These relevant predictors should become a part of preventive arrangements for the conservation of teachers' health in the future.
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