Documents Wooden, Mark 7 results

"Objectives
Previous studies have consistently reported evidence of large significant associations between measures of psychological health and sickness absence. Some of this association, however, may be confounded by relevant covariates that have not been controlled. By using data with repeated observations from the same individuals, this study aimed to quantify the bias due to unobserved characteristics that are time invariant.
Methods
Longitudinal data from the Household, Income, and Labour Dynamics in Australia (HILDA) Survey were used to estimate negative binomial regression models of the number of annual paid sickness absence days. Observations spanning the period 2005–2012, and covering all employed persons aged 15–64 years, were used (56 348 observations from 13 622 individuals).
Results
Significant associations between the number of paid sickness absence days taken each year and scores on the mental health subscale of the SF-36 (MHI-5) were found. Inclusion of correlated random effects (which effectively control for unobserved person-specific factors that do not vary over time), however, resulted in a marked decline in the magnitude of this association. For persons with severe depressive symptoms (MHI-5 ?52), the estimated incidence rate ratios were in the range 1.13–1.14 for men and 1.10–1.12 for women.
Conclusions
Poor mental health is a risk factor affecting work attendance, but the magnitude of this effect, at least in a country where the rate of sickness absence is relatively low, is modest."

"Much of the economic cost of mental illness stems from workers' reduced productivity. We analyze the links between mental health and two alternative workplace productivity measures – absenteeism and presenteeism (i.e., lower productivity while attending work) – explicitly allowing these relationships to be moderated by the nature of the job itself. We find that absence rates are approximately five percent higher among workers who report being in poor mental health. Moreover, job conditions are related to both presenteeism and absenteeism even after accounting for workers' self-reported mental health status. Job conditions are relatively more important in understanding diminished productivity at work if workers are in good rather than poor mental health. The effects of job complexity and stress on absenteeism do not depend on workers' mental health, while job security and control moderate the effect of mental illness on absence days."

"Nationally representative panel survey data for Germany and Australia are used to investigate the impact of working-time mismatches (i.e., differences between actual and desired work hours) on mental health, as measured by the Mental Component Summary Score from the SF-12. Fixed effects and dynamic linear models are estimated, which, together with the longitudinal nature of the data, enable person-specific traits that are time invariant to be controlled for. The incorporation of dynamics also reduces concerns about the potential effects of reverse causation. The results suggest that overemployment (working more hours than desired) has adverse consequences for the mental health of workers in both countries. Underemployment (working fewer hours than desired), however, seems to only be of significance in Australia."

"Background It is widely believed that persons employed in jobs demanding long working hours are at greater risk of physical inactivity than other workers, primarily because they have less leisure time available to undertake physical activity. The aim of this study was to test this hypothesis using prospective data obtained from a nationally representative sample of employed persons.Methods Longitudinal data from the Household, Income and Labour Dynamics in Australia Survey (93?367 observations from 17?893 individuals) were used to estimate conditional fixed effects logistic regression models of the likelihood of moderate or vigorous physical exercise for at least 30?min, at least four times a week.Results No significant associations between long working hours and the incidence of healthy levels of physical activity were uncovered once other exogenous influences on activity levels were controlled for. The odds of men or women who usually work 60 or more hours per week exercising at healthy levels were 6% and 11% less, respectively, than those of comparable persons working a more standard 35–40?h/week; however, neither estimate was significantly different from 0 at 95% CI.Conclusions The findings suggest that there is no trade-off between long working hours and physical activity in Australia. It is argued that these findings are broadly consistent with previous research studies from Anglo-Saxon countries (where long working hours are pervasive) that employed large nationally representative samples."

" This study uses panel data for Australia to estimate the wage differential between workers in temporary jobs and workers in permanent jobs. It is the first study to use unconditional quantile regression methods in combination with fixed effects to examine how this gap varies over the entire wage distribution. While the wages of fixed‐term contract workers are found to be similar to those of permanent workers, low‐paid casual workers experience a wage penalty and high‐paid casual workers a wage premium compared to their permanent counterparts. Temporary agency workers also usually receive a wage premium, which is particularly large for the most well paid."