Reach and effectiveness of a worksite health promotion program combining a preventive medical examination with motivational interviewing; a quasi-experimental study among workers in low socioeconomic position.

BACKGROUND: This study aimed to evaluate individual characteristics associated with participation and effectiveness of a worksite health promotion program with motivational interviewing targeting health and health behaviour among Dutch workers in low socioeconomic position. METHODS: In a production company and a hospital, 838 workers were invited for a Preventive Medical Examination and subsequent coaching with motivational interviewing up to 7 sessions within 6 months. Follow-up information was collected after 6 months. Characteristics associated with participation in coaching were assessed with logistic regression models. The effectiveness of coaching on body mass index (BMI), bodyweight, self-rated health, vigorous physical activity, smoking, alcohol intake, fruit- and vegetable consumption, work ability, and sickness absence was evaluated with linear regression models and on participation in health promotion activities with logistic regression analysis. The analyses on effectiveness were performed without and with propensity score adjustment. RESULTS: Of the 838 invited workers, 313 workers participated in the Preventive Medical Examination and follow-up data were available for 176 workers, of whom 100 workers with increased cardiovascular risk attended coaching. The majority of workers with obesity (73%), overweight (60%), and unhealthy behaviours (58%-69%) at baseline participated in motivational interviewing. Males, workers with overweight or obesity, workers at the production company, workers with insufficient vigorous physical activity, and workers with a low educational level were most likely to participate in coaching. Coaching with motivational interviewing after the Preventive Medical Examination was associated with a 4.74 times higher likelihood [95% confidence interval (CI): 1.99;11.32] to participate in health promotion activities and 10.9% (95%CI: 0.6;21.3) more persons who quit smoking compared to workers without coaching. No statistically significant effects were observed on BMI, bodyweight, health, health behaviour, work ability and sickness absence. CONCLUSIONS: The program combining a Preventive Medical Examination with follow-up coaching reached - as intended - workers with obesity or overweight, those with a low education and with unhealthy behaviours. Adding coaching with motivational interviewing to a Preventive Medical Examination contributed to higher participation in health promotion activities and an increase in smoking cessation after 6 months among workers with a lower socioeconomic position, but was not effective on other outcomes. TRIAL REGISTRATION: The study was registered retrospectively in the Netherlands Trial Register as NL8178 on 22/11/2019.

Influence of an Interdisciplinary Re-employment Programme Among Unemployed Persons with Mental Health Problems on Health, Social Participation and Paid Employment.

Purpose To evaluate the influence of an interdisciplinary re-employment programme on labour force participation and perceived health among unemployed persons with common mental health problems. In addition, the influence of entering paid employment on self-rated physical health and mental health was investigated. Methods In this quasi-experimental study with 2 years follow up, 869 persons were enrolled after referral to an interdisciplinary re-employment programme (n = 380) or regular re-employment programme (n = 489). The propensity score technique was used to account for observed differences between the intervention and control group. The intervention programme was provided by an interdisciplinary team, consisting of mental health care professionals as well as employment specialists. Mental health problems were addressed through cognitive counselling and individual tailored job-search support was provided by an employment professional. Primary outcome measures were paid employment and voluntary work. Secondary outcome measures were self-rated mental and physical health, measured by the Short Form 12 Health Survey, and anxiety and depressive symptoms, measured by the Kessler Psychological Distress Scale. Changes in labour force participation and health were examined with repeated-measures logistic regression analyses by the generalized estimating equations method. Results The interdisciplinary re-employment programme did not have a positive influence on entering employment or physical or mental health among unemployed persons with mental health problems. After 2 years, 10% of the participants of the intervention programme worked fulltime, compared to 4% of the participants of the usual programmes (adjusted OR 1.65). The observed differences in labour force participation were not statistically significant. However, among persons who entered paid employment, physical health improved (+16%) and anxiety and depressive symptoms decreased (-15%), whereas health remained unchanged among persons who continued to be unemployed. Conclusions Policies to improve population health should take into account that promoting paid employment may be an effective intervention to improve health. It is recommended to invest in interdisciplinary re-employment programmes with a first place and train approach.

Work as treatment? The effectiveness of re-employment programmes for unemployed persons with severe mental health problems on health and quality of life: a systematic review and meta-analysis.

Given the importance of unemployment in health inequalities, re-employment of unemployed persons into paid employment may be a powerful intervention to increase population health. It is suggested that integrated programmes of vocational reintegration with health promotion may improve the likelihood of entering paid employment of long-term unemployed persons with severe mental health problems. However, the current evidence regarding whether entering paid employment of this population will contribute to a reduction in health problems remains unambiguous. This systematic review and meta-analysis aimed to assess the effects of re-employment programmes with regard to health and quality of life. Three electronic databases were searched (up to March 2015). Two reviewers independently selected articles and assessed the risk of bias on prespecified criteria. Measures of effects were pooled and random effect meta-analysis of randomised controlled trials was conducted, where possible. Sixteen studies were included. Nine studies described functioning as an outcome measure. Five studies with six comparisons provided enough information to calculate a pooled effect size of -0.01 (95% CI -0.13 to 0.11). Fifteen studies presented mental health as an outcome measure of which six with comparable psychiatric symptoms resulted in a pooled effect size of 0.20 (95% CI -0.23 to 0.62). Thirteen studies described quality of life as an outcome measure. Seven of these studies, describing eight comparisons, provided enough information to calculate a pooled effect size of 0.28 (95% CI 0.04 to 0.52). Re-employment programmes have a modest positive effect on the quality of life. No evidence was found for any effect of these re-employment programmes on functioning and mental health.

The influence of re-employment on quality of life and self-rated health, a longitudinal study among unemployed persons in the Netherlands.

BACKGROUND: Unemployed persons have a poorer health compared with employed persons and unemployment may cause ill health. The aim of this study was to investigate the effect of re-employment on quality of life and health among unemployed persons on social benefits. METHODS: A prospective study with 18 months follow-up was conducted among unemployed persons (n=4,308) in the Netherlands, receiving either unemployment benefits or social security benefits. Quality of life, self-rated health, and employment status were measured at baseline and every 6 months of follow up with questionnaires. Generalized estimating equations (GEE) modeling was performed to study the influence of re-employment on change in self-rated health and quality of life over time. RESULTS: In the study population 29% had a less than good quality of life and 17% had a poor self-rated health. Persons who started with paid employment during the follow-up period were more likely to improve towards a good quality of life (OR 1.76) and a good self-rated health (OR 2.88) compared with those persons who remained unemployed. Up to 6 months after re-employment, every month with paid employment, the likelihood of a good quality of life increased (OR 1.12). CONCLUSIONS: Starting with paid employment improves quality of life and self-rated health. This suggests that labour force participation should be considered as an important measure to improve health of unemployed persons. Improving possibilities for unemployed persons to find paid employment will reduce socioeconomic inequalities in health.

The influence of perceived health on labour participation among long term unemployed.

BACKGROUNDS: Few studies have addressed the specific contribution of health in relation to socio-demographic and motivational aspects to re-entering paid employment. The purpose of this study among beneficiaries of unemployment benefits is to evaluate the detrimental effects of poor health and a lack of motivation on the likelihood of getting a job and to develop a decision support model that predicts remaining unemployment after 12 months. METHODS: A longitudinal cohort study was conducted among people on unemployment benefit (UB) or social insurance benefit (SIB). The time-window of the study was 18 months. Written questionnaires were filled out 3 months post-benefit assessment, 6, 12 and 18 months. Multivariate logistic regression analysis was used to identify the barriers of re-entering paid employment. Subsequently, a predictive model was constructed to estimate the probability for every combination of determinants for a person to remain unemployed in the next 12 months. RESULTS: Older age (≥55 years), a poor perceived health, and a lack of willingness to accept a job were the most prominent predictive factors for remaining unemployed after 12 months in both UB and SIB groups. Lower education in the UB group and being married or living together and poor self-reliance in the SIB group were additional risk factors for long-term unemployment. CONCLUSION: Vocational rehabilitation of people on long-term social benefit should address perceived health, socio-demographic, and motivational aspects as key factors that determine prolonged unemployment. A predictive flow chart can be used to detect most vulnerable persons at risk for remaining long-term unemployment.

The influence of onset of disease on exit from paid employment among workers in The Netherlands: A longitudinal register-based study with 9 years follow-up.

OBJECTIVES: This study investigates the influence of onset of disease on exit from paid employment and whether this differs across diseases and sociodemographic groups. METHODS: Register data from Statistics Netherlands on medication prescription was linked to information on employment status and demographics. Persons who were employed in 2009 and 2010 and who did not use medication for the selected disease in 2009 (N=5 889 036) were followed-up over nine years. Six diseases were identified based on medication prescription in 2010 and 2011: cardiovascular diseases, inflammatory diseases, diabetes mellitus, respiratory diseases, common mental disorders, and psychotic disorders. Four pathways out of paid employment were defined: disability benefits, unemployment, no income, and early retirement. Early exit from paid employment was defined as exiting paid employment before retirement age. Cause-specific Cox proportional hazards regression analyses were performed, with interaction terms for age, sex, and migration background. RESULTS: Onset of disease increased the likelihood of exit from paid employment, with the strongest associations for psychotic disorders [hazard ratio (HR) 2.88, 95% confidence interval (CI) 2.78-2.98] and common mental disorders (HR 2.00, 95% CI 1.97-2.03). Onset of disease was most strongly associated with disability benefits, followed by unemployment. The influence of common mental and psychotic disorders on disability increased until around middle-age, after which it decreased. The influence of mental health problems on exit from paid employment was stronger for persons with a non-native Dutch background and males. CONCLUSION: Onset of diseases, especially mental health disorders, is a risk for exiting paid employment before the retirement age. Effective interventions are needed to enhance an inclusive workforce and prevent involuntary loss of paid employment.

Inequalities in the impact of having a chronic disease on entering permanent paid employment: a registry-based 10-year follow-up study.

BACKGROUND: This study aimed to investigate among unemployed persons (1) the impact of having a chronic disease on entering paid employment and obtaining a permanent contract and (2) whether these associations differed by educational attainment. METHODS: Register data from Statistics Netherlands on employment status, contract type, medication and sociodemographic characteristics were linked. Dutch unemployed persons between 18 and 64 years (n=667 002) were followed up for 10 years (2011-2020). Restricted mean survival time analyses (RMSTs) were used to investigate differences in average months until entering paid employment and until obtaining a permanent contract between persons with and without cardiovascular diseases, inflammatory conditions, diabetes, respiratory illness, common mental disorders and psychotic disorders. Interaction terms were included for education. RESULTS: One-third of the unemployed persons at baseline entered paid employment during follow-up. Persons with chronic diseases spent more months in non-employment compared with persons without chronic diseases (difference ranging from 2.50 months (95% CI 1.97 to 3.03 months) to 10.37 months (95% CI 9.98 to 10.77 months)), especially for persons with higher education. Conditional on entering paid employment, the time until a permanent contract was longer for persons with cardiovascular diseases (4.42 months, 95% CI 1.85 to 6.99 months), inflammatory conditions (4.80 months, 95% CI 2.02 to 7.59 months) and diabetes (8.32 months, 95% CI 4.26 to 12.37 months) than for persons without these diseases. These latter differences were similar across educational attainment. CONCLUSIONS: Having a chronic disease is a barrier to entering permanent paid employment. The findings underline the need to prevent chronic diseases and promote an inclusive workforce.

Impact of mental disorders during education on work participation: a register-based longitudinal study on young adults with 10 years follow-up.

BACKGROUND: Mental disorders are a leading cause of disability and a major threat to work participation in young adults. This register-based longitudinal study aims to investigate the influence of mental disorders on entering and exiting paid employment among young graduates and to explore differences across socioeconomic groups. METHODS: Register information on sociodemographics (age, sex, migration background) and employment status of 2 346 393 young adults who graduated from secondary vocational (n=1 004 395) and higher vocational education or university (n=1 341 998) in the period 2010-2019 was provided by Statistics Netherlands. This information was enriched with register information on the prescription of nervous system medication for mental disorders in the year before graduation as a proxy for having a mental disorder. Cox proportional hazards regression models were used to estimate the influence of mental disorders on (A) entering paid employment among all graduates and (B) exiting from paid employment among graduates who had entered paid employment. RESULTS: Individuals with mental disorders were less likely to enter (HR 0.69-0.70) and more likely to exit paid employment (HR 1.41-1.42). Individuals using antipsychotics were the least likely to enter (HR 0.44) and the most likely to exit paid employment (HR 1.82-1.91), followed by those using hypnotics and sedatives. The association between mental disorders and work participation was found across socioeconomic subgroups (ie, educational level, sex and migration background). DISCUSSION: Young adults with mental disorders are less likely to enter and maintain paid employment. These results ask for prevention of mental disorders and for a more inclusive labour market.

Associations of university student life challenges with mental health and self-rated health: A longitudinal study with 6 months follow-up.

BACKGROUND: Mental health problems are highly prevalent among university students. Stress due to student life challenges may be a risk factor for poorer health. This study investigates to what extent student life challenges and changes therein are associated with mental health and self-rated health. METHODS: In a longitudinal study with 568 Italian university students mental health was assessed using the Mental Health Inventory-5 (MHI-5) and self-rated health with a single item from the Short Form 36 Health Survey (SF36) (score ranges: 0-100) at baseline and at six months follow-up. Student life challenges were investigated using six subscales (score ranges: 1-4) of the Higher Education Stress Inventory (HESI). A between-within linear regression model was used to investigate whether a higher exposure to life challenges was associated with poorer health (between individuals) and whether changes in student life challenges were associated with changes in health (within individuals). RESULTS: Higher exposure to student life challenges was associated with poorer mental health (b ranging from -5.3 to -10.3) and self-rated health (b ranging from -3.1 to -9.6). An increase in student life challenges within individuals was associated with poorer mental health and self-rated health, in particular for high workload (b up to -5.9), faculty shortcomings (b up to -5.7), and unsupportive climate (b up to -5.6). DISCUSSION: Exposure to student life challenges and changes therein are associated with university students' health. Our findings suggest that student life challenges may be a target for interventions to improve mental health and self-rated health among university students.

The influence of chronic diseases and poor working conditions in working life expectancy across educational levels among older employees in the Netherlands.

OBJECTIVES: This study aims to estimate the influence of chronic diseases and poor working conditions - across educational levels - on working life expectancy (WLE) and working years lost (WYL) in the Dutch workforce after age 50. METHODS: Information on demographics, chronic diseases, and working conditions from 11 800 Dutch workers aged 50-66 years participating in the Study on Transitions in Employment, Ability and Motivation (STREAM) from 2010/2015 was enriched with monthly information on employment status from Statistics Netherlands up to 2018. In a multistate model, transitions were calculated between paid employment and involuntary exit (disability benefits, unemployment) and voluntary exit (economic inactivity, early retirement) to estimate the impact of education, chronic diseases, and working conditions on WLE and WYL between age 50 and 66. RESULTS: Workers with a chronic disease (up to 1.01 years) or unfavorable working conditions (up to 0.63 years) had more WYL due to involuntary pathways than workers with no chronic disease or favorable working conditions. The differences in WYL between workers with and without a chronic disease were slightly higher among workers with a lower education level (male: 0.85, female: 1.01 years) compared to workers with a high educational level (male: 0.72, female: 0.82 years). Given the higher prevalence of chronic diseases and unfavorable working conditions, WYL among lower educated workers were higher than among higher educated workers. CONCLUSIONS: The presence of a chronic disease or unfavorable working conditions, more prevalent among lower educated workers, contribute substantially to WYL among older workers. This will increase educational inequalities in working careers.eers.

Changes in health among 45-64-year-old Dutch persons before, during and after becoming unemployed or employed: a seven year follow-up study.

OBJECTIVES: This study aimed to evaluate the extent to which physical and mental health and body mass index (BMI) changed before, during and after becoming unemployed or employed, and whether these associations differ across psychosocial and physical working conditions. METHODS: Participants from seven waves (2010-2017) of the Dutch longitudinal Study on Transitions in Employment, Ability, and Motivation (STREAM) aged 45-64 years were included. STREAM provides information on physical and mental health, BMI and working conditions, and was enriched with monthly information on income components from Statistics Netherlands to define employment status during 2010-2017. Annual changes in physical and mental health (0-100 scales), and BMI (kg/m2) before, during and after becoming unemployed (N=13 279) and employed (N=1902) were estimated with generalized linear mixed-effect models. RESULTS: Before employed persons became unemployed they had poorer health than continuously employed persons, which worsened in the period before becoming unemployed. During the year of becoming unemployed, physical [b=1.45, 95% confidence interval (CI) 0.89-2.01] and mental health (b=1.46, 95% CI 0.85-2.07) improved, in particular among persons with unfavorable working conditions. After becoming unemployed physical health deteriorated (b=-0.52, 95% CI -0.80- -0.24) and BMI (b=0.11, 95% CI 0.03-0.19) increased, but mental health improved (b=0.33, 95% CI 0.02-0.63). Unemployed persons had better health before entering employment than continuously unemployed persons. The health of persons who entered employment did not statistically significantly change before or during the year of the transition. After entering employment, physical health deteriorated and BMI increased. CONCLUSIONS: Maintaining a healthy workforce and limiting unfavorable working conditions may contribute to the prevention of unemployment and the promotion of re-integration.

Associations of within-individual changes in working conditions, health behaviour and BMI with work ability and self-rated health: a fixed effects analysis among Dutch workers.

OBJECTIVES: This study assessed the associations of (1) within-individual improvements and (2) within-individual deteriorations in working conditions, health behaviour and body mass index (BMI) with changes in work ability and self-rated health among workers. DESIGN: Prospective cohort study. SETTING: The Netherlands. PARTICIPANTS: Persons in paid employment, aged 45-64 years, who participated in the Dutch Study on Transitions in Employment, Ability and Motivation (STREAM) between 2010 and 2017, and improved or deteriorated at least once with respect to working conditions (psychological and emotional job demands, autonomy, social support, physical workload), health behaviour (moderate and vigorous physical activity, smoking status), or BMI between any of two consecutive measurements during the 7-year follow-up. PRIMARY AND SECONDARY OUTCOME MEASURES: Changes in self-reported work ability on a scale from 0 to 10 (1st item of the work ability index) and self-rated health on a scale from 1 to 5 (SF-12). RESULTS: Of the 21 856 STREAM participants, ultimately 14 159 workers were included in the fixed effects analyses on improvements (N=14 045) and deteriorations (N=14 066). Workers with deteriorated working conditions decreased in work ability (ß's: -0.21 (95% CI: -0.25 to -0.18) to -0.28 (95% CI: -0.33 to -0.24)) and health (ß's: -0.07 (95% CI: -0.09 to -0.06) to -0.10 (95% CI: -0.12 to -0.08)), whereas improvements were to a lesser extent associated with increased work ability (ß's: 0.06 (95% CI: 0.02 to 0.09) to 0.11 (95% CI: 0.06 to 0.16)) and health (ß's: 0.02 (95% CI: 0.00 to 0.03) to 0.04 (95% CI: 0.02 to 0.06)). Workers with increased BMI or decreased physical activity reduced in work ability and health. Likewise, decreased BMI or increased vigorous physical activity was associated with improved health. An increase in moderate or vigorous physical activity was modestly associated with a reduced work ability. Quitting smoking was associated with reduced work ability and health. CONCLUSIONS: Compared with improvements, preventing deteriorations in working conditions, health behaviour and BMI, might be more beneficial for work ability and workers' health.

Changes in youth care use after the implementation of community-based support teams: repeated measurement study using registry data and data on team characteristics.

OBJECTIVES: New legislation on youth care in the Netherlands led to the implementation of community-based support teams, providing integrated primary youth care. Important aims of the new Youth Act were more integrated, timely care and less use of intensive forms of care. Our aim was to study changes in youth care use in time and the role of newly introduced community-based support teams herein. SETTING: Register data (2015-2018) on youth of a large city were linked and combined with administrative and aggregated data on team characteristics. PARTICIPANTS: Data on 126 095 youth (0-18 years) were available for analyses. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary, specialised and residential youth care use were the primary outcomes. RESULTS: Generalised estimating equations analyses adjusted for individual characteristics demonstrated that over 4 years, use of primary youth care increased from 2.2% to 8.5% (OR 1.70; 99% CI 1.67 to 1.73), specialised youth care decreased from 7.2% to 6.4% (OR 0.98; 99% CI 0.97 to 1.00) and residential youth care increased slightly (OR 1.04; 99% CI 1.01 to 1.06). Gender, age, family status, migrant background and educational level were all associated with the types of youth care use and also with some trends in time. Likelihood to receive care increased in time for preschool and younger children but did not improve for migrant children.Case load, team size, team turnover, team performance and transformational leadership showed significant associations with different types of youth care use but hardly with trends in time. CONCLUSION: Patterns of youth care use changed towards more locally provided primary youth care, slightly less specialised and slightly more residential youth care. Furthermore, youth care use among younger children increased in time. These trends are partly in line with the trends intended by the Youth Act. Little evidence was found for the role of specific team characteristics on changes in youth care use in time.

The influence of chronic diseases and multimorbidity on entering paid employment among unemployed persons - a longitudinal register-based study.

Objectives This study aimed to investigate the influence of chronic diseases and multimorbidity on entering paid employment among unemployed persons. A secondary objective was to estimate the proportion of persons not entering paid employment that can be attributed to specific chronic diseases across different age groups. Methods Data linkage of longitudinal nationwide registries on employment status, medication use and socio-demographic characteristics was applied. Unemployed Dutch persons (N=619 968) were selected for a three-year prospective study. Cox proportional hazards analyses with hazard ratios (HR) were used to investigate the influence of six common chronic diseases on entering paid employment, stratified by age. The population attributable fraction (PAF) was calculated as the proportion of all persons who did not enter paid employment that can be attributed to a chronic disease. Results Persons with chronic diseases were less likely to enter paid employment among all age groups. The impact of a chronic disease on maintaining unemployment at population level was largest for common mental disorders (PAF 0.20), due to a high prevalence of common mental disorders (6%), and for psychotic disorders (PAF 0.19), due to a high likelihood of not entering paid employment (HR 0.21), among persons aged 45-55 years. Multimorbidity increased with age, and the impact of having multiple chronic diseases on remaining unemployed increased especially among persons aged ≥45 years. Conclusion Chronic diseases and multimorbidity are important factors that reduce employment chances among all age groups. Our results provide directions for policy measures to target specific age and disease groups of unemployed persons in order to improve employment opportunities.

Working conditions and health behavior as causes of educational inequalities in self-rated health: an inverse odds weighting approach.

Objective Using a novel mediation method that presents unbiased results even in the presence of exposure-mediator interactions, this study estimated the extent to which working conditions and health behaviors contribute to educational inequalities in self-rated health in the workforce. Methods Respondents of the longitudinal Survey of Health, Ageing, and Retirement in Europe (SHARE) in 16 countries were selected, aged 50-64 years, in paid employment at baseline and with information on education and self-rated health (N=15 028). Education, health behaviors [including body mass index (BMI)] and working conditions were measured at baseline and self-rated health at baseline and two-year follow-up. Causal mediation analysis with inverse odds weighting was used to estimate the total effect of education on self-rated health, decomposed into a natural direct effect (NDE) and natural indirect effect (NIE). Results Lower educated workers were more likely to perceive their health as poor than higher educated workers [relative risk (RR) 1.48, 95% confidence interval (CI) 1.37-1.60]. They were also more likely to have unfavorable working conditions and unhealthy behaviors, except for alcohol consumption. When all working conditions were included, the remaining NDE was RR 1.30 (95% CI 1.15-1.44). When BMI and health behaviors were included, the remaining NDE was RR 1.40 (95% CI 1.27-1.54). Working conditions explained 38% and health behaviors and BMI explained 16% of educational inequalities in health. Including all mediators explained 64% of educational inequalities in self-rated health. Conclusions Working conditions and health behaviors explain over half of the educational inequalities in self-rated health. To reduce health inequalities, improving working conditions seems to be more important than introducing health promotion programs in the workforce.

The impact of ill health on exit from paid employment in Europe among older workers.

OBJECTIVE: To determine the impact of ill health on exit from paid employment in Europe among older workers. METHODS: Participants of the Survey on Health and Ageing in Europe (SHARE) in 11 European countries in 2004 and 2006 were selected when 50-63 years old and in paid employment at baseline (n=4611). Data were collected on self-rated health, chronic diseases, mobility limitations, obesity, smoking, alcohol use, physical activity and work characteristics. Participants were classified into employed, retired, unemployed and disabled at the end of the 2-year follow-up. Multinomial logistic regression was used to estimate the effect of different measures of ill health on exit from paid employment. RESULTS: During the 2-year follow-up, 17% of employed workers left paid employment, mainly because of early retirement. Controlling for individual and work related characteristics, poor self-perceived health was strongly associated with exit from paid employment due to retirement, unemployment or disability (ORs from 1.32 to 4.24). Adjustment for working conditions and lifestyle reduced the significant associations between ill health and exit from paid employment by 0-18.7%. Low education, obesity, low job control and effort-reward imbalance were associated with measures of ill health, but also risk factors for exit from paid employment after adjustment for ill health. CONCLUSION: Poor self-perceived health was strongly associated with exit from paid employment among European workers aged 50-63 years. This study suggests that the influence of ill health on exit from paid employment could be lessened by measures targeting obesity, problematic alcohol use, job control and effort-reward balance.

Chronic diseases and multimorbidity among unemployed and employed persons in the Netherlands: a register-based cross-sectional study.

OBJECTIVES: The first objective of this study was to describe the age-specific prevalence of chronic diseases and multimorbidity among unemployed and employed persons. The second objective was to examine associations of employment status and sociodemographic characteristics with chronic diseases and multimorbidity. DESIGN: Data linkage of cross-sectional nationwide registries on employment status, medication use and sociodemographic characteristics in 2016 was applied. SETTING: Register-based data covering residents in the Netherlands. PARTICIPANTS: 5 074 227 persons aged 18-65 years were selected with information on employment status, medication use and sociodemographic characteristics. OUTCOME MEASURES: Multiple logistic regression analysis and descriptive statistics were performed to examine associations of employment and sociodemographic characteristics with the prevalence of chronic diseases and multimorbidity. The age-specific prevalence of six common chronic diseases was described, and Venn diagrams were applied for multimorbidity among unemployed and employed persons. RESULTS: Unemployed persons had a higher prevalence of psychological disorders (18.3% vs 5.4%), cardiovascular diseases (20.1% vs 8.9%), inflammatory diseases (24.5% vs 15.8%) and respiratory diseases (11.7% vs 6.5%) than employed persons. Unemployed persons were more likely to have one (OR 1.30 (1.29-1.31)), two (OR 1.74 (1.73-1.76)) and at least three chronic diseases (OR 2.59 (2.56-2.61)) than employed persons. Among unemployed persons, psychological disorders and inflammatory conditions increased with age but declined from middle age onwards, whereas a slight increase was observed among employed persons. Older persons, women, lower educated persons and migrants were more likely to have chronic diseases. CONCLUSION: Large differences exist in the prevalence of chronic diseases and multimorbidity among unemployed and employed persons. The age-specific prevalence follows a different pattern among employed and unemployed persons, with a relatively high prevalence of psychological disorders and inflammatory conditions among middle-aged unemployed persons. Policy measures should focus more on promoting employment among unemployed persons with chronic diseases.

Does reduced employment protection increase the employment disadvantage of workers with low education and poorer health?

BACKGROUND: Declines in employment protection may have disproportionate effects on employment opportunities of workers with low education and poorer health. This study investigates the impact of changes in employment protection levels on employment rates according to education and health in 23 European countries. METHODS: Data were taken from the 4-year rotating panel European Union Statistics on Income and Living Conditions study. Employed participants aged 29-59 years (n = 334 999) were followed for 1 year over an 11-year period, from 2003 up to 2014. A logistic regression model with country and period fixed effects was used to estimate the association between changes in the Organisation for Economic Co-operation and Development (OECD) employment protection index and labour market outcomes, incorporating interaction terms with education and health. RESULTS: 15 of the 23 countries saw their level of employment protection decline between 2003 and 2014. Reduced employment protection of temporary workers increased odds of early retirement (OR 6.29, 95% CI 3.17 to 12.48) and unemployment (OR 1.37, 95% CI 1.07 to 1.76). Reduced employment protection of permanent workers increased odds of early retirement more among workers in poor health (OR 4.46, 95% CI 2.26 to 8.78) than among workers in good health (OR 2.58, 95% CI 1.30 to 5.10). The impact of reduced employment protection of temporary workers on unemployment was stronger among lower-educated workers (OR 1.47, 95% CI 1.13 to 1.90) than among higher-educated workers (OR 1.21, 95% CI 0.95 to 1.54). CONCLUSION: Reduced employment protection increased the odds of early exit from paid employment, especially among workers with lower education and poorer health. Employment protection laws may help reduce the employment disadvantage of workers with low education and poorer health.

Ethnic differences in unemployment and ill health.

OBJECTIVE: The aim of the study is to evaluate whether health inequalities associated with unemployment are comparable across different ethnic groups. METHOD: A random sample of inhabitants of the city of Rotterdam filled out a questionnaire on health and its determinants, with a response of 55.4% (n = 2,057). In a cross-sectional design the associations of unemployment, ethnicity, and individual characteristics with a perceived poor health were investigated with logistic regression analysis. The associations of these determinants with physical and mental health, measured by the Short Form 36 Health Survey, were evaluated with linear regression analyses. Interactions between ethnicity and unemployment were investigated to determine whether associations of unemployment and health differed across ethnic groups. RESULTS: Ill health was more common among unemployed persons [odds ratio (OR) 2.6; 95% CI 1.7-3.8] than workers in paid employment. Health inequalities between employed and unemployed persons were largest among native Dutch persons (OR = 3.2) and Surinamese/Antillean persons (OR = 2.6), and smaller in Turkish/Moroccan persons (OR = 1.6) and overseas refugees (OR = 1.6). The proportions of persons with poor health that could be attributed to unemployment were 14, 26, 14, and 13%, respectively. CONCLUSIONS: Differences in ill health between employed and unemployed persons were less profound in ethnic groups compared to the majority population, but the prevalence of unemployment was much higher in ethnic groups. The population attributable fractions varied between 14 and 28%, supporting the argument that policies for health equity should pay more attention to measures that include persons in the labour market and that prevent workers with ill health from dropping out of the workforce.

Changes in physical health among participants in a multidisciplinary health programme for long-term unemployed persons.

BACKGROUND: The relationship between poor health and unemployment is well established. Health promotion among unemployed persons may improve their health. The aims of this study were to investigate characteristics of non-participants and drop-outs in a multidisciplinary health promotion programme for long-term unemployed persons with health complaints, to evaluate changes in physical health among participants, and to investigate determinants of improvement in physical health. METHODS: A longitudinal, non-controlled design was used. The programme consisted of two weekly exercise sessions and one weekly cognitive session during 12 weeks. The main outcome measures were body mass index, blood pressure, cardiorespiratory fitness, abdominal muscle strength, and low back and hamstring flexibility. Potential determinants of change in physical health were demographic variables, psychological variables (self-esteem, mastery, and kinesiophobia), and self-perceived health. RESULTS: The initial response was 73% and 252 persons had complete data collection at baseline. In total, 36 subjects were lost during follow-up. Participants were predominantly low educated, long-term unemployed, and in poor health. Participation in the programme was not influenced by demographic and psychological factors or by self-reported health. Drop-outs were younger and had a lower body mass index at baseline than subjects who completed the programme. At post-test, participants' cardiorespiratory fitness, abdominal muscle strength, and flexibility had increased by 6.8%-51.0%, whereas diastolic and systolic blood pressures had decreased by 2.2%-2.5%. The effect sizes ranges from 0.17-0.68. CONCLUSION: Participants with the poorest physical health benefited most from the programme and gender differences in improvement were observed. Physical health of unemployed persons with health complaints improved after participation in this health promotion programme, but not sufficiently, considering their poor physical health at baseline.