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Background: The ageing of the US labour force highlights the need to examine older adults' physical and psychological ability to work, under varying levels of occupational burnout., Aims: To examine how age and burnout interact in predicting physical and psychological work ability., Methods: Using a cohort of actively working nurses, we assessed factors on the Work Ability Index at 12-month follow-up and determined how these were related to age and exhaustion-related burnout at baseline., Results: The study group consisted of 402 nurses aged 25-67 (mean = 41.7). Results indicated age by burnout interactions in which decrements in physical work ability with greater age were observed at all but the lowest level of burnout (1.5 SD below mean: β = -0.14, 95% CI -0.36, 0.07; 1 SD below: β = -0.23, 95% CI -0.39, -0.06; mean: β = -0.39, 95% CI -0.50, -0.29; 1 SD above: β = -0.56, 95% CI -0.70, -0.42; 1.5 SD above: β = -0.64, 95% CI -0.83, -0.46). In contrast, we observed decrements in psychological work ability with age at higher levels of burnout only (1 SD above: β = -0.20, 95% CI -0.35, -0.05; 1.5 SD above: β = -0.30, 95% CI -0.49, -0.11); at lower levels of burnout, older age was associated with improvements in this (1 SD below: β = 0.19, 95% CI 0.03, 0.35; 1.5 SD below: β = 0.29, 95% CI 0.08, 0.50)., Conclusions: Findings indicated physical and psychological dimensions of work ability that differed by age and occupational burnout. This emphasizes the need for interventions to reduce burnout and to address age-related strengths and vulnerabilities relating to physical and psychological work ability.

Background: The Work Ability Index (WAI) is a well-established instrument to measure work ability. However, the dimensionality of the WAI remains controversial., Aims: To identify the dimensionality of the WAI and to investigate dependencies of factors and subscales., Methods: The sample analysed in this study consisted of 371 subjects of different occupational groups (teachers, office workers, nursery school teachers and managers). The WAI was measured for all subgroups. Psychometric characteristics of the WAI were investigated using factor analyses with different numbers and different patterns of dependency among the factors. Chi-square analysis and the Comparative Fit Index were used to statistically assess fit quality., Results: The group of managers had to be excluded from the analysis as their results were probably overoptimistic due to reporting bias; thus, 324 subjects entered. The one-factor model and an orthogonal two-factor model did not fit the observed correlational structures. A satisfactory fit was obtained using a two-dimensional model with correlated factors. These factors could be interpreted as subjectively estimated work ability and objective health status. Only five of seven items of the WAI could be related unambiguously to one of both factors., Conclusions: From our study, we conclude that using only the total score of the WAI is not adequate for population analysis of and assessment of work ability to individuals. Instead, the two-dimensional structure of the instrument must be taken into account.

Background: The rate of ageing can differ considerably between individuals. This might result in major differences between calendar age (CA) and biological age (BA)., Aims: To identify work- and health-related predictors of the discrepancy between CA and BA., Methods: The sample analysed in this study consisted of 371 subjects of different occupational groups (teachers, office workers, nursery school teachers and managers). BA was measured with the vitality measuring station, which recorded 45 vitality indicators of physical, mental and social functions. Work ability index, effort-reward imbalance and relaxation inability were measured to determine work- and health-related predictors., Results: The greatest discrepancy between CA and BA (9 years) was found for the subgroup of managers, followed by female teachers (5 years). Managers showed also the best results in work ability, the effort-reward balance and relaxation ability. By means of multiple regression analysis, particularly mental attitudes and resources towards work, occupational reward and the body fat percentage were identified as relevant predictors for the discrepancy between CA and BA., Conclusions: Our study indicates that not only health- but also work-related factors are associated with vitality and BA of employees. We assume that measures focused on promoting of health (healthy diet and physical activities) and improving working conditions (e.g. job satisfaction and social support and stress prevention) may also affect the ageing process positively.