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Mulder M, Kok R, Aben B, de Wind A. Incidence Rates and Predictors of Recurrent Long-Term Mental Sickness Absence Due to Common Mental Disorders. JOURNAL OF OCCUPATIONAL REHABILITATION 2024:10.1007/s10926-024-10226-7. [PMID: 39066861 DOI: 10.1007/s10926-024-10226-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/12/2024] [Indexed: 07/30/2024]
Abstract
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.
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Affiliation(s)
- Matthew Mulder
- Department of Research and Development, HumanTotalCare B.V., Zwarte Woud 10, Utrecht, 3524 SJ, The Netherlands.
| | - Robin Kok
- Department of Research and Development, HumanTotalCare B.V., Zwarte Woud 10, Utrecht, 3524 SJ, The Netherlands
| | - Bart Aben
- Department of Research and Development, HumanTotalCare B.V., Zwarte Woud 10, Utrecht, 3524 SJ, The Netherlands
| | - Astrid de Wind
- Amsterdam UMC Location University of Amsterdam, Public and Occupational Health, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Societal Participation & Health, Amsterdam, The Netherlands
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Zhou X, Wu J, Liu Y, Yan Y, Zhou G, Li M. Developing a Multi-Dimensional Health Index System for a General Occupational Population in the Light of Health Ecology Theory: A Delphi Study. Risk Manag Healthc Policy 2024; 17:1523-1532. [PMID: 38872975 PMCID: PMC11168939 DOI: 10.2147/rmhp.s459216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 05/29/2024] [Indexed: 06/15/2024] Open
Abstract
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.
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Affiliation(s)
- Xiaoling Zhou
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, People’s Republic of China
- Research Department, Shanghai University of Medicine&Health Sciences Affiliated Zhoupu Hospital, Shanghai, People’s Republic of China
| | - Jing Wu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Ying Liu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Yuzhong Yan
- Research Department, Shanghai University of Medicine&Health Sciences Affiliated Zhoupu Hospital, Shanghai, People’s Republic of China
| | - Geyao Zhou
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, People’s Republic of China
| | - Ming Li
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, People’s Republic of China
- Party Committee office, Tongji University Affiliated Shanghai East Hospital, Shanghai, People’s Republic of China
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3
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Beller J, Sperlich S, Epping J, Tetzlaff J. Trends in severe functional limitations among working and non-working adults in Germany: Towards an (un)-healthy working life? Eur J Ageing 2024; 21:13. [PMID: 38652375 DOI: 10.1007/s10433-024-00809-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2024] [Indexed: 04/25/2024] Open
Abstract
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.
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Affiliation(s)
- Johannes Beller
- Medical Sociology Unit, Center for Public Health and Health Care, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
| | - Stefanie Sperlich
- Medical Sociology Unit, Center for Public Health and Health Care, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Jelena Epping
- Medical Sociology Unit, Center for Public Health and Health Care, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Juliane Tetzlaff
- Medical Sociology Unit, Center for Public Health and Health Care, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
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Ruiz-Adame M, Ibañez A, Mollayeva T, Trépel D. 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). J Alzheimers Dis 2023; 95:181-193. [PMID: 37482998 PMCID: PMC11194739 DOI: 10.3233/jad-230265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
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.
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Affiliation(s)
- Manuel Ruiz-Adame
- Applied Economic Department, University of Granada, Campus of Melilla, Melilla, Spain
- Trépel Laboratory, Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Agustín Ibañez
- Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile
- Cognitive Neuroscience Center & CONICET, Universidad de San Andres, Buenos Aires, Argentina
- Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA
- Predictive Brain Health Modelling, Trinity College Dublin, Dublin, Ireland
| | - Tatyana Mollayeva
- Dalla Lana School of Public Health, Toronto, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada
- KITE Research Institute, Toronto Rehab, University Health Network, Toronto, Canada
- Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Dominic Trépel
- Trépel Laboratory, Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Trinity College Dublin, Dublin, Ireland
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Nusselder WJ, De Waegenaere AMB, Melenberg B, Lyu P, Rubio Valverde JR. Future trends of life expectancy by education in the Netherlands. BMC Public Health 2022; 22:1664. [PMID: 36056326 PMCID: PMC9438160 DOI: 10.1186/s12889-022-13275-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/19/2022] [Indexed: 11/10/2022] Open
Abstract
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.
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Affiliation(s)
- Wilma J Nusselder
- Department of Public Health - Erasmus Medical Center, Rotterdam, the Netherlands.
| | - Anja M B De Waegenaere
- Tilburg School of Economics and Management, Department of Econometrics and Operations Research, Tilburg, the Netherlands
| | - Bertrand Melenberg
- Tilburg School of Economics and Management, Department of Econometrics and Operations Research, Tilburg, the Netherlands
| | - Pintao Lyu
- Tilburg School of Economics and Management, Department of Econometrics and Operations Research, Tilburg, the Netherlands
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