28 research outputs found

    The Role of Health and Health Promotion in Labour Force Participation

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    During the last century, the combined effects of improvements in living and working conditions and advances in medicine and health care have led to a consistently increasing life expectancy in the European Union. In 2007 in the EU, the life expectancy of a newborn boy at birth was 76.1 years and of a newborn girl 82.2 years. Life expectancy is, however, not equally distributed in society. Persons with a lower level of education, a lower occupational class, or a lower level of income tend to die at younger age, and to have, within their shorter lives, a higher prevalence of all kinds of health problems. This leads to tremendous differences between socioeconomic groups in the number of years that persons can expect to live in good health. In Europe, differences in healthy life expectancy typically amount to 10 years or more, counted from birth. According to many, such differences in health are unacceptable, and represent one of Europe’s greatest challenges for public health. Unemployed persons are a specific socioeconomically disadvantaged group. The relationship between unemployment and poor health has been well established, as demonstrated by a higher prevalence of illness and disability and a higher mortality among unemployed persons. Selection and causation may contribute to these inequalities in health among employed and unemployed persons. Selection may act through two different pathways: workers with a poor health may be more likely to leave the labour force, and unemployed persons with a poor health may be less likely to enter the workforce. Causation may also act in two different ways. Leaving the workforce may have a negative influence on health of the ex-workers. The other way around, gaining paid employment may have a positive influence on health. Paragraph 1.2 (Health and Work) gives an overview of the current state of knowledge concerning the influence of health on entering or leaving the workforce. Paragraph 1.3 (Work and Health) is focused on the effect of gaining paid employment on health. Paragraph 1.4 (Health promotion among the unemployed) describes the current evidence on the effectiveness of health promotion interventions among unemployed persons for re-employment

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

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    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

    The benefits of paid employment among persons with common mental health problems: Evidence for the selection and causa

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    Objectives The aims of this study were to (i) investigate the impact of paid employment on self-rated health, self-esteem, mastery, and happiness among previously unemployed persons with common mental health problems, and (ii) determine whether there are educational inequalities in these effects. Methods A quasi-experimental study was performed with a two-year follow-up period among unemployed persons with mental health problems. Eligible participants were identified at the social services departments of five cities in The Netherlands when being diagnosed with a common mental disorder, primarily depression and anxiety disorders, in the past 12 months by a physician (N=749). Employment status (defined as paid employment for ≥12 hours/week), mental health [Short Form 12 (SF-12)], physical health (SF-12), self-esteem, mastery, and happiness were measured at baseline, after 12 months and 24 months. The repeated-measurement longitudinal data were analyzed using a hybrid method, combining fixed and random effects. The regression coefficient was decomposed into between-and within-individual associations, respectively. Results The between-individuals associations showed that persons working ≥12 hours per week reported better mental health (b=26.7, SE 5.1), mastery (b=2.7, SE 0.6), self-esteem (b=5.7, SE 1.1), physical health (b=14.6, SE 5.6) and happiness (OR 7.7, 95% CI 2.3–26.4). The within-i

    Educational differences in trajectories of self-rated health before, during, and after entering or leaving paid employment in the european workforce

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    Objectives This study aimed to investigate (i) the influence of entering or leaving paid employment on self-rated health trajectories before, during, and after this transition and (ii) educational differences in these health trajectories. Methods In this prospective study, we used yearly measurements of self-rated health from the European Community Household Panel (ECHP) to establish how health is affected by employment transitions in or out of the workforce due to early retirement, unemployment or economic inactivity. Trajectories of self-rated health were analyzed among 136 556 persons with low, intermediate, or high educational level by repeated-measures logistic regression with generalized estimating equations. Results Among low-educated workers, ill-health partly prompted their voluntary labor force exit through early retirement and becoming economically inactive, but thereafter these exit routes seemed to prevent further deterioration of their health. In contrast, among higher educated workers, early retirement had an adverse effect on their self-rated health. Becoming unemployed had adverse effects on self-rated health among all educational levels. Entering paid employment was predetermined by self-rated health improvement in the preceding years among intermediate and high educated workers, whereas, among low-educated workers, self-rated health improved in the year of entering paid employed and continued to improve in the following years. Conclusions Prolonging working life may have both adverse and beneficial effects on self-rated health. Health inequalities may increase when every person, independent of educational level, must perform paid employment until the same age before being able to retire

    Health-related educational inequalities in paid employment across 26 European countries in 2005-2014: repeated cross-sectional study

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    Objective The study investigates the trends in healthrelated inequalities in paid employment among men and women in different educational groups in 26 countries in 5 European regions. Design Individual-level analysis of repeated crosssectional annual data (2005–2014) from the EU Statistics on Income and Living Conditions. Setting 26 European countries in 5 European regions. Participants 1 844 915 individuals aged 30–59 years were selected with information on work status, chronic illness, educational background, age and gender. Outcome measures Absolute differences were expressed by absolute differences in proportion in paid employment between participants with and without a chronic illness, using linear regression. Relative differences were expressed by prevalence ratios in paid employment, using a Cox proportional hazard model. Linear regression was used to examine the trends of inequalities. Results Participants with a chronic illness had consistently lower labour force participation than those without illnesses. Educational inequalities were substantial with absolute differences larger within lower educated (men 21%–35%, women 10%–31%) than within higher educated (men 5%–13%, women 6%–16%). Relative differences showed that low-educated men with a chronic illness were 1.4–1.9 times (women 1.3–1.8 times) more likely to be out of paid employment than low-educated persons without a chronic illness, whereas this was 1.1– 1.2 among high-educated men and women. In the Nordic, Anglo-Saxon and Eastern regions, these health-related educational inequalities in paid employment were more pronounced than in the Continental and Southern region. For most regions, absolute health-related educational inequalities in paid employment were generally constant, whereas relative inequalities increased, especially among low-educated persons. Conclusions Men and women with a chronic illness have considerable less access to the labour market than their healthy colleagues, especially among lower educated persons. This exclusion from paid employment will increase health inequalities

    The effect of ill health and socioeconomic status on labor force exit and re-employment: A prospective study with ten years follow-up in the Netherlands

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    Objectives The aim of this study was to investigate the effect of ill health and socioeconomic status on labor force exit due to unemployment, early retirement, disability pension, or becoming economically inactive. A secondary objective was to investigate the effect of ill health and socioeconomic status on return to work. Methods A representative sample of the Dutch working population (N=15 152) was selected for a prospective study with ten years follow-up (93 917 person-years). Perceived health and individual and household characteristics were measured at baseline with the Permanent Quality of Life Survey (POLS) during 1999-2002. Statistics Netherlands ascertained employment status monthly from January 1999 to December 2008. Cox proportional hazards analyses were used to determine the factors that predicted labor force exit and return to work. Results Ill health increased the likelihood of labor force exit into unemployment [hazard ratio (HR) 1.89], disability pension (HR 6.39), and early retirement (HR 1.20), but was not a determinant of becoming economically inactive (HR 1.07). Workers with low socioeconomic status were, even after adjusting for ill health, more likely to leave the labor force due to unemployment, disability pension, and economic inactivity. Workers with ill health at baseline were less likely to return to work after unemployment (HR 0.75) or disability pension (HR 0.62). Socioeconomic status did not influence re-employment. Conclusions Ill health is an important determinant for entering and maintaining paid employment. Workers with lower education were at increased risk for health-based selection out of paid employment. Policies to improve labor force participation, especially among low socioeconomic level workers, should protect workers with health problems against exclusion from the labor force

    Poor health, unhealthy behaviors, and unfavorable work characteristics influence pathways of exit from paid employment among older workers in Europe: A four year follow-up study

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    Objectives The aim of this study was to get insight into the role of poor health, unhealthy behaviors, and unfavorable work characteristics on exit from paid employment due to disability pension, unemployment, and early retirement among older workers. Methods Respondents of the longitudinal Survey of Health, Ageing, and Retirement in Europe (SHARE) in 11 European countries were selected when (i) aged between 50 years and the country-specific retirement age, (ii) in paid employment at baseline, and (iii) having information on employment status during the 4-year follow-up period (N=4923). Self-perceived health, health behaviors, and physical and psychosocial work characteristics were measured by interview at baseline. Employment status was derived from follow-up interviews after two and four years. Cox proportional hazards regression analyses were used to identify determinants of unemployment, disability pension, and early retirement. Results Poor health was a risk factor for disability pension [hazard ratio (HR) 3.90, 95% confidence interval (95% CI) 2.51-6.05], and a lack of physical activity was a risk factor for disability pension (HR 3.05, 95% CI 1.68-5.55) and unemployment (HR 1.84, 95% CI 1.13-3.01). A lack of job control was a risk factor for disability pension, unemployment, and early retirement (HR 1.30-1.77). Conclusions Poor health, a lack of physical activity, and a lack of job control played a role in exit from paid employment, but their relative importance differed by pathway of labor force exit. Primary preventive interventions focusing on promoting physical activity as well as increasing job control may contribute to reducing premature exit from paid employment

    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

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    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 (β's: -0.21 (95% CI: -0.25 to -0.18) to -0.28 (95% CI: -0.33 to -0.24)) and health (β'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 (β's: 0.06 (95% CI: 0.02 to 0.09) to 0.11 (95% CI: 0.06 to 0.16)) and health (β'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

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

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    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 selfrated health. To reduce health inequalities, improving working conditions seems to be more important than introducing health promotion programs in the workforce

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

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    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
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