Projecting years in good health between age 50-69 by education in the Netherlands until 2030 using several health indicators - an application in the context of a changing pension age

Incidence Rates and Predictors of Recurrent Long-Term Mental Sickness Absence Due to Common Mental Disorders

PURPOSE

Several predictors have been identified for mental sickness absence, but those for recurrences are not well-understood. This study assesses recurrence rates for long-term mental sickness absence (LTMSA) within subgroups of common mental disorders (CMDs) and identifies predictors of recurrent LTMSA.

METHODS

This historical prospective cohort study used routinely collected data from 16,310 employees obtained from a nationally operating Dutch occupational health service (ArboNed). Total follow-up duration was 23,334 person-years. Overall recurrence rates were assessed using Kaplan-Meier estimators. Recurrence rates within subgroups of CMDs were calculated using person-years. Univariable and multivariable Cox proportional hazards models were used to identify predictors.

RESULTS

15.6% of employees experienced a recurrent LTMSA episode within three years after fully returning to work after a previous LTMSA episode. Highest recurrence rates for LTMSA were observed after a previous LTMSA episode due to mood or anxiety disorders. Mood or anxiety disorders and shorter previous episode duration were predictors of recurrent LTMSA. No associations were found for age, gender, company size, full-time equivalent and job tenure.

CONCLUSION

Employees should be monitored adequately after they fully returned to work after LTMSA. It is recommended to monitor high-risk employees (i.e. employees with mood or anxiety disorders and short LTMSA episode) more intensively, also beyond full return to work. Moreover, diagnosis of anxiety and depressive symptoms should be given a higher priority in occupational healthcare.

Developing a Multi-Dimensional Health Index System for a General Occupational Population in the Light of Health Ecology Theory: A Delphi Study

Background

The health status of the occupational population is critical to the development of countries and regions as it is the main force of social and economic development. However, there is a dearth of comprehensive and systematic indicators to evaluate the health of occupational groups. This study aimed to construct a multi-dimensional evaluation index system for the general population.

Methods

This study combined a literature review and initially established a multidimensional health system framework for the occupational population based on health ecology theory and then used two rounds of Delphi expert consultation to construct the final multidimensional health index system for the occupational population. Fifteen experts from related fields were selected for two rounds of Delphi expert consultation.

Results

The recovery rates of the two rounds of expert questionnaires were 100.00% and 93.33% respectively, the expert authority coefficient were 0.90, and the Kendall's coordination coefficients of the first and second level indexes were 0.32 and 0.42 (P ≥ 0. 001). The final index system includes four primary indicators (individual characteristics, health knowledge, health behavior, and health skills), 13 second-level indicators, and 41 third-level indicators; the weight coefficients of the four primary health dimensions are relatively close, and the "health knowledge" is slightly higher.

Conclusion

The multi-dimensional health index system of the occupational population established in this study is comprehensive and reasonable from the perspective of health ecology, which can provide a solid foundation for the further development of a comprehensive health status prediction model for the occupational population.

Trends in severe functional limitations among working and non-working adults in Germany: Towards an (un)-healthy working life?

We examined trends in severe functional limitations among working and non-working adults in Germany (ages 40-65). Four population-based samples of 11,615 participants were used, spanning the time periods 2002-2021. The overall prevalence of severe limitations was found to be 12.8% in the sample, but also varied from 10 to 20% according to occupational group. Over time, severe limitations were found to have increased, from 10.6% in 2002 to 13.2% in 2021. Logistic regression analysis showed that severe limitations increased significantly in certain subgroups, including working women with a low skilled white collar occupational group, working men with a low skilled blue collar occupational group and, particularly, among the whole non-working population, whereas limitations remained largely the same in the other groups, including most of the working population. In terms of expectancies, overall working life expectancy increased. Along with this increase, healthy (non-severely limited) working life expectancy increased, but this trend was accompanied by a clear increase in unhealthy working life expectancy (severely limited). Thus, although severe limitations have increased in some groups in the working-age adults, people today can expect to work more years free from severe limitations than before. In the future, potentials to increase working life expectancy may come to an end, as severe limitations increased strongly in the non-working population, which could limit the prospects for a further increase in the proportion of the population in employment. Further studies are needed to investigate the potential impact of the increasing prevalence of severe limitations on the population's ability to work.

Association Between Neuroticism and Dementia on Healthcare Use: A Multi-Level Analysis Across 27 Countries from The Survey of Health, Ageing and Retirement in Europe (SHARE)

BACKGROUND

People with high levels of neuroticism are greater users of health services. Similarly, people with dementia have a higher risk of hospitalization and medical visits. As a result, dementia and a high level of neuroticism increase healthcare use (HCU). However, how these joint factors impact the HCU at the population level is unknown. Similarly, no previous study has assessed the degree of generalization of such impacts, considering relevant variables including age, gender, socioeconomic, and country-level variability.

OBJECTIVE

To examine how neuroticism and dementia interact in the HCU.

METHODS

A cross-sectional study was performed on a sample of 76,561 people (2.4% with dementia) from 27 European countries and Israel. Data were analyzed with six steps multilevel non-binomial regression modeling, a statistical method that accounts for correlation in the data taken within the same participant.

RESULTS

Both dementia (Incidence Rate Ratio (IRR): 1.537; α= 0.000) and neuroticism (IRR: 1.122; α= 0.000) increased the HCU. The effect of having dementia and the level of neuroticism increased the HCU: around 53.67% for the case of having dementia, and 12.05% for each increment in the level of neuroticism. Conversely, high levels of neuroticism in dementia decreased HCU (IRR: 0.962; α= 0.073). These results remained robust when controlling for age, gender, socioeconomic, and country-levels effects.

CONCLUSION

Contrary to previous findings, neuroticism trait in people with dementia decreases the HCU across sociodemographic, socioeconomic, and country heterogeneity. These results, which take into account this personality trait among people with dementia, are relevant for the planning of health and social services.

Future trends of life expectancy by education in the Netherlands

Background

National projections of life expectancy are made periodically by statistical offices or actuarial societies in Europe and are widely used, amongst others for reforms of pension systems. However, these projections may not provide a good estimate of the future trends in life expectancy of different social-economic groups. The objective of this study is to provide insight in future trends in life expectancies for low, mid and high educated men and women living in the Netherlands.

Methods

We used a three-layer Li and Lee model with data from neighboring countries to complement Dutch time series.

Results

Our results point at further increases of life expectancy between age 35 and 85 and of remaining life expectancy at age 35 and age 65, for all education groups in the Netherlands. The projected increase in life expectancy is slightly larger among the high educated than among the low educated. Life expectancy of low educated women, particularly between age 35 and 85, shows the smallest projected increase. Our results also suggest that inequalities in life expectancies between high and low educated will be similar or slightly increasing between 2018 and 2048. We see no indication of a decline in inequality between the life expectancy of the low and high educated.

Conclusions

The educational inequalities in life expectancy are expected to persist or slightly increase for both men and women. The persistence and possible increase of inequalities in life expectancy between the educational groups may cause equity concerns of increases in pension age that are equal among all socio-economic groups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13275-w.