Development of a new measure for mental retirement; testing of a three-factor structure of mentale retirement in different subgroups.

BACKGROUND: The aim of this study is to develop a new measure for the concept of mental retirement and test the construct validity of the measure. Employees who are 'mentally retired' are present at their work physically, but have already said their goodbyes mentally. Mental retirement has a three-factor structure: developmental proactivity, work engagement and perceived appreciation. METHODS: We use data from employees (N = 867) of five different organizations in the Netherlands. Mental retirement was assessed with 11 items in an online survey. In addition, socio-demographic characteristics like age, level of education and occupation, were measured. Next to tests of internal consistency, a confirmatory factor analysis (CFA) is performed to test the three-factor structure of mental retirement in this population and in different subgroups (age, education, occupation). RESULTS: The internal consistency varies from .80 to .94 for the developmental proactivity scale and the work engagement scale, respectively (appreciation was measured with one item). For the CFA, the three-factor model fits the data adequately. Multiple group analyses also shows equal factor loadings in all subgroups, but the mean levels of mental retirement differ across subgroups. CONCLUSIONS: This study confirms the three-factor model of mental retirement in a general group of employees as well as across different subgroups. However, this study only tested the construct validity. Future research should study validity more extensively and be longitudinal in nature. In addition, the causal chain of antecedent variables to mental retirement and its outcomes should be considered. These studies could also focus on the effects of interventions aiming at preventing or decreasing the level of mental retirement in organizations.

Effect of a participative action intervention program on reducing mental retirement.

BACKGROUND: The present study aimed to investigate the effects of a stepwise, bottom-up participatory program with a tailor-made intervention process addressing the level of mental retirement in a sample of Dutch employees. Mental retirement refers to feelings of being disconnected from your work and your organization. Prevention of mental retirement is important since sustainable employability is becoming more important in today's society due to the ageing of the working population and the changes in skills demands. METHODS: This prospective cohort study with a one-year follow-up employs a sample of 683 employees of three organizations in The Netherlands, who filled out two questionnaires: at baseline and 1 year later. The dependent measure was mental retirement, which consists of three sub-concepts: developmental pro-activity, work engagement and perceived appreciation. RESULTS: Multilevel analysis (N = 466) showed that employees who more actively participated in the intervention(s) had a small but statistically significant larger decrease in mental retirement at follow-up. CONCLUSIONS: The stepwise, bottom-up participatory program with a tailor-made intervention process shows a tendency to decrease the level of mental retirement in Dutch employees. However, the implementation of interventions could be further improved since it turned out to be very challenging to keep up participants' commitment to the program. Future research should study the effectiveness of this program further with an improved study design (control group, multiple follow-ups, several data sources).

Work Characteristics and Return to Work in Long-Term Sick-Listed Employees with Depressive Symptoms.

Purpose The present study investigated the relations between work characteristics, depressive symptoms and duration until full return to work (RTW) among long-term sick-listed employees. This knowledge may add to the development of effective interventions and prevention, especially since work characteristics can be subjected to interventions more easily than many disorder-related or personal factors. Methods this prospective cohort study with a two-year follow-up employs a sample of 883 Dutch employees who had been sick-listed for at least 13 weeks at baseline, who filled out three questionnaires: at 19 weeks, 1 and 2 years after the start of sick leave. The dependent measure was duration until full RTW. Results not working (partially) at baseline, low decision authority, high psychological demands, low supervisor support and low RTW self-efficacy were related to more depressive symptoms. The duration until full RTW was longer for employees with depressive symptoms. Low physical exertion, high RTW self-efficacy, working partially at baseline, being married or cohabiting, and young age were related to less time until full RTW. Other work characteristics appeared no independent predictors of RTW. Conclusions although the role of job demands and job resources in the RTW process is limited for long-term sick-listed employees with depressive symptoms, a few work characteristics are prognostic factors of full RTW. Focus on these elements in the selection or development of interventions may be helpful in preventing sickness absence, and in supporting long-term sick-listed employees towards full RTW.

Differences in predictors of return to work among long-term sick-listed employees with different self-reported reasons for sick leave.

INTRODUCTION: The present study aimed to gain insight in the predictors of full return to work (RTW) among employees on long-term sick leave due to three different self-reported reasons for sick leave: physical, mental or co-morbid physical and mental problems. This knowledge can be used to develop diagnosis-specific interventions that promote earlier RTW. METHODS: This prospective cohort study with a two-year follow-up employs a sample of 682 Dutch employees, sick-listed for 19 weeks (SD = 1.68), who filled out two questionnaires: at 19 weeks and 2 years after the start of sick leave. The dependent measure was duration until full RTW, the independent measures were cause of sick leave, health characteristics, individual characteristics and work characteristics. RESULTS: Reporting both physical and mental problems as reasons for sick leave was associated with a longer duration until full RTW. Nonparametric Cox survival analysis showed that partial RTW at baseline and lower age were strong predictors of earlier RTW in all three groups, and that RTW self-efficacy predicted earlier RTW in two groups. Other predictors of full RTW varied among groups. CONCLUSIONS: Tailoring for different reasons for sick leave might improve the effects of new interventions because the predictors of full RTW differ among groups. Enhancement of partial RTW and RTW self-efficacy may be relevant components of any intervention, as these were predictors of full RTW in at least two groups.