Does Phased Retirement Increase Vitality in Older Workers? Findings from a 3­Year Follow­Up Panel Study.

This study investigates the effects of phased retirement on vitality and how this effect differs for workers dealing with work, family and health strain and low levels of baseline vitality. We used two waves of the NIDI Pension Panel Survey, conducted in 2015 and 2018, in the Netherlands. Data from 1,247 older workers, of whom 10% opted for phased retirement, were analyzed. Vitality is assessed in three ways: a composite measure of vitality, and its subcomponents energy and fatigue. Conditional change regression models demonstrated that transitioning into phased retirement improved vitality and energy levels and reduced fatigue. Older workers with low energy levels at baseline showed greater improvements in energy after using phased retirement: this result was not evident for those with low vitality and high fatigue at baseline. Phased retirement improved vitality for workers with high work strain. Vitality for workers with family or health strain was not improved. Interestingly, the positive effects of phased retirement were equally visible among workers with and without adverse health conditions and caregiving responsibilities. Our study provides evidence on the benefits of phased retirement as a method to sustainably ensure healthy aging of not only vulnerable but all older workers.

Associations between existing and newly diagnosed chronic health conditions and change in subjective life expectancy: Results from a panel study.

Background: Subjective life expectancy (SLE) is a vital predictor of mortality, health and retirement. Nevertheless, we have sparse knowledge about what drives changes in SLE. Having a chronic health condition (CHC) is probably associated with a change SLE. However, how CHCs are associated with changes in SLE may depend on whether the CHC was newly diagnosed and the type of CHC. Aim: We hypothesize that newly diagnosed CHCs will be strongly negatively associated with changes in SLE than existing CHCs. As CHCs vary in their presentation and prognosis, we differentiate associations between five CHCs - arthritis, cardiovascular diseases, sleep disorders, psychological disorders and life-threatening conditions - and changes in SLE. Method: Data from two waves of a Dutch pension panel survey, collected 3 years apart in 2015 and 2018, were used. The analytical sample included 4824 older workers between the ages of 60-65 years at wave 1. Data were analysed longitudinally using a conditional change ordered logistic regression model. Results: In general, newly diagnosed CHCs were strongly negatively associated with changes in SLE, relative to having no CHCs. Existing CHCs were also negatively associated with changes in SLE, but to a weaker strength. Interestingly, associations between CHCs and the change in SLE differed based on the CHC in question. Conclusion: Newly diagnosed life-threatening conditions, psychological disorders and cardiovascular diseases are strongly negatively associated with changes in SLE. These results provide insight into the differences in how older workers with CHCs experience late career work and how these experiences influence their SLE.

How Do Newly Diagnosed Chronic Health Conditions Affect Older Workers' Vitality and Worries About Functional Ability?

With increasing retirement ages, older workers are working longer while being newly diagnosed with chronic health conditions (CHCs). Our knowledge on how newly diagnosed CHCs influence older workers' vitality and worries is limited. We examine how four newly diagnosed CHCs affect older workers' vitality and worries about physical and mental functional ability. We used data from a Dutch pension panel survey. A sample of 1,894 older workers (60-62 years) was analyzed using conditional change OLS regression models. Having CHCs decreased vitality and increased worries. This effect was worse for older workers newly diagnosed with CHCs. Being newly diagnosed with physically disabling conditions increased worries about physical functioning, while being newly diagnosed with mentally disabling conditions increased worries about mental functioning. These findings aid the identification of vulnerable groups of older workers, thereby informing interventions that could improve quality of life, while promoting healthy aging at work.

Do older manual workers benefit in vitality after retirement? Findings from a 3-year follow-up panel study.

Vitality is the feeling of physical and mental aliveness. Vitality benefits individual, organizational and societal well-being. However, we know much less about the dynamics in the levels of vitality and its' precursors. This study investigates the effects of retirement on vitality and how this effect differs between manual and non-manual workers and by baseline levels of vitality. We used two waves of the NIDI Pension Panel Survey, collected in the Netherlands in 2015 and 2018. Data from 4156 older workers (N = 4156), of whom 1934 (46.5%) retired between waves, were analysed. Vitality is assessed in three ways, as: (1) a composite measure of vitality, and its subcomponents (2) energy and (3) fatigue. Conditional Change OLS Regression models demonstrated that retirement is associated with improved vitality and decreased fatigue. Older workers who retire from manual work at wave 1 experienced the largest gains in vitality and highest declines in fatigue at wave 2, compared to those who remained employed. Retirement was more advantageous for older workers who experienced poor vitality and high fatigue at wave 1. No such effects were found for energy. Older workers in manual work, those experiencing low vitality and high fatigue at wave 1, may benefit most from early retirement. Since opportunities for early retirement are highly restrictive, it is essential to provide these groups of workers with effective work accommodations and interventions that may not only improve their vitality and quality of working life, but also extend their participation in the labour market.

Why do older workers with chronic health conditions prefer to retire early?

BACKGROUND: older workers experiencing chronic health conditions (CHCs) are more likely to retire early. The different pathways through which CHCs stimulate retirement preferences, however, remain largely unexplored. OBJECTIVE: we present a more comprehensive model in which we test the different pathways through which four specific CHCs-arthritis, cardiovascular disease, sleep disorders and psychological disorders-influence early retirement preferences. We hypothesize that the association between CHCs and early retirement preferences is differentially mediated by subjective life expectancy (SLE), perceived health-related work limitations (HRWL) and vitality. METHODS: we collected data from 5,696 wage-employed older workers (60 to 64 years) in the Netherlands in 2015. Regression models were estimated to examine the associations between CHCs and early retirement preferences. Mediation analysis with the Karlson, Holm and Breen method was used to examine potential mediation pathways. RESULTS: SLE, HRWL and vitality mediated the association between CHCs and older workers' early retirement preferences. The dominant mediator differed depending on the CHC. Severe HRWL predominantly guided the retirement preferences of older workers with arthritis and cardiovascular disease. Lower vitality mainly mediated retirement preferences of older workers with sleep and psychological disorders. Lower SLE was a significant mediation pathway for older workers with cardiovascular diseases. CONCLUSIONS: HRWL and vitality play a major role in determining retirement preferences of older workers experiencing CHCs. Since both mediators are modifiable, targeted interventions may not only extend older workers' working lives, but also improve the quality of their working lives.

Can Participants' Characteristics Predict Benefit from a Multimodal Burnout Prevention Program? Secondary Analysis of a Randomized Controlled Trial Conducted in Germany.

Chronic psychological distress appears to be increasing markedly among the working population. A recent randomized controlled trial (RCT) supported the effectiveness of a three-week outpatient burnout prevention program-comprised of stress management interventions, relaxation, physical exercise, and moor baths followed by massage-in reducing perceived stress and emotional exhaustion. However, the effectiveness of treatments in the real world that were shown to be efficacious in RCTs is related to the appropriate selection of individuals who are most likely to yield sustainable gains. Therefore, factors predicting the intensity of response and nonresponse of individuals to treatment are of interest. This secondary data analysis aims to explore predictors of response to the outpatient burnout prevention program in a sample of eighty employed persons at high risk of burnout. Hierarchical linear regression was performed to identify predictors of successful response-defined by lower perceived stress at last follow up. Nutritional behavior, symptoms of eating disorder syndrome, and well-being were significant predictors of perceived stress at last follow up, when adjusted for age, sex, education level, baseline stress values, and timing of intervention. Persons with low levels of well-being, poor nutritional behavior, and higher symptoms of eating disorders should be given special care and attention to ensure that they respond well to the outpatient burnout prevention program.

Health-related Work Limitations Among Older Workers-the Role of Flexible Work Arrangements and Organizational Climate.

BACKGROUND AND OBJECTIVES: Given their increasing prevalence with age, chronic health conditions (CHCs) are substantially affecting older workers and organizations. An important question is whether and how flexible work arrangements and organizational climates may help to reduce the work limitations experienced by older workers. Grounded on the Job Demand-Resource model, we hypothesize that access to flexible work arrangements (working-time flexibility, workplace flexibility, phased retirement) and supportive organizational climates (healthy ageing climate, psychological safety climate) are vital job resources that are associated with fewer health-related work limitations among older workers experiencing CHCs. RESEARCH DESIGN AND METHODS: Multilevel data were collected among 5,419 older workers (60-65 years) in 624 organizations in the Netherlands. Perceived health-related work limitations of older workers diagnosed with arthritis (N = 2,330), cardiovascular disease (N = 720), and sleep disorders (N = 816) were analyzed. RESULTS: Multilevel ordered logistic regression analyses revealed that perceived access to flexible working hours and a psychologically safe organizational climate was associated with fewer health-related work limitations among older workers with CHCs. DISCUSSION AND IMPLICATIONS: Facilitating longer working lives is a key policy challenge within organizations, in particular if older workers are constraint by CHCs. This study shows that offering flexible working hours and ensuring a psychologically safe climate, where older workers with health issues are inclined to share their work needs and preferences, are likely to contribute to healthy ageing in the workplace.

"In the mood for ageing": determinants of subjective well-being in older men and women of the population-based KORA-Age study.

BACKGROUND: To investigate risk factors associated with low subjective well-being (SWB) in men and women (≥65 years) separately with a special focus on emotional distress. METHODS: A cross-sectional analysis was conducted among 3602 participants (50.6% women) aged 65-90 years (mean age 72.8 years, SD ± 5.8) from the population-based KORA-Age study conducted in 2008/2009. SWB was assessed using the WHO-5 well-being index (score range: 0 to 100). SWB was dichotomized into "low" (score ≤ 50) and "high" (score > 50) SWB. The association between potential risk factors and SWB was assessed by logistic regressions analyses. Population-attributable risks (PARs) were calculated. RESULTS: Low SWB was significantly higher in women than in men (23.8% versus 18.2%; p < 0.0001). The logistic regressions analyses revealed low income, physical inactivity, multimorbidity, depression, anxiety and sleeping problems to be associated with low SWB in both sexes. Living alone increased the odds of having low SWB in women, but not in men. Depression and anxiety were the strongest risk factors of low SWB among men (depression: OR: 4.19, 95% CI: 1.33-13.17, p < 0.05; anxiety: 8.45, 5.14-13.87, p < 0.0001) and women (depression: 6.83, 2.49-18.75 p < 0.05; anxiety: 7.31, 5.14-10.39, p < 0.0001). In both sexes, anxiety had the highest population-attributable risk (men: 27%, women: 41%). CONCLUSION: Our results call out for an increased focus on mental health interventions among older adults, especially for women living alone. Further research is needed to understand the paradoxical pattern of discrepant subjective well-being versus objective health in age.