Linking Work-Life Occupational Exposures With Distress and Mortality Before and After Retirement

Mental health problems have surpassed musculoskeletal injuries as causes of work disability. Workers in certain occupations may have high risks for mental health problems and premature death even after retirement. People in high risk occupations for many years may be particularly vulnerable, along with groups with higher health risks such as rural residents. Little research examines their occupation-related risks. No research has examined how occupational exposures affect mental health in retirement. We studied these life course risks using the nationally representative Panel Study of Income Dynamics, following participants 36 years beginning 1981, with annual measures of occupation and distress (n=16,994; 129,880 occupation measures; 415 deaths). We estimated hazards of developing distress in occupations hypothesized to have high and low distress risks, adjusted for factors associated with occupational choice and mental health including age, education, income, race/ethnicity, sex, childhood and midlife health, and family trauma. Compared to low risk occupations, working in high risk occupations was associated with 20% elevated odds of distress (adjusted odds ratio, OR 1.20, 95% confidence interval, CI 1.13 1.28) and 55% elevated risk of death (hazard ratio 1.55, CI 1.11-2.16). Each additional year in a high risk occupation increased the odds by 5%. Rural residents had the highest occupation-related distress risk (adjusted OR 3.05, CI 2.39-3.97). At ages 70+ each additional past exposure year was associated with 2% higher distress risk (p<0.05), and 4.6% higher mortality (p<0.05). Workers in certain occupations have high risks of psychological distress and death, even after retirement.

On the carrying dimension of occupation measures for self-affine random fields

Hausdorff dimension results are a classical topic in the study of path properties of random fields. This article presents an alternative approach to Hausdorff dimension results for the sample functions of a large class of self-affine random fields. The aim is to demonstrate the following interesting relation to a series of articles by U. Zähle 1984, 1988, 1990, 1991. Under natural regularity assumptions, we prove that the Hausdorff dimension of the graph of self-affine fields coincides with the carrying dimension of the corresponding self-affine random occupation measure introduced by U. Zähle. As a remarkable consequence we obtain a general formula for the Hausdorff dimension given by means of the singular value function.