Socioeconomic differences in healthy and disease-free life expectancy between ages 50 and 75: a multi-cohort study.

BACKGROUND: There are striking socioeconomic differences in life expectancy, but less is known about inequalities in healthy life expectancy and disease-free life expectancy. We estimated socioeconomic differences in health expectancies in four studies in England, Finland, France and Sweden. METHODS: We estimated socioeconomic differences in health expectancies using data drawn from repeated waves of the four cohorts for two indicators: (i) self-rated health and (ii) chronic diseases (cardiovascular, cancer, respiratory and diabetes). Socioeconomic position was measured by occupational position. Multistate life table models were used to estimate healthy and chronic disease-free life expectancy from ages 50 to 75. RESULTS: In all cohorts, we found inequalities in healthy life expectancy according to socioeconomic position. In England, both women and men in the higher positions could expect 82-83% of their life between ages 50 and 75 to be in good health compared to 68% for those in lower positions. The figures were 75% compared to 47-50% for Finland; 85-87% compared to 77-79% for France and 80-83% compared to 72-75% for Sweden. Those in higher occupational positions could expect more years in good health (2.1-6.8 years) and without chronic diseases (0.5-2.3 years) from ages 50 to 75. CONCLUSION: There are inequalities in healthy life expectancy between ages 50 and 75 according to occupational position. These results suggest that reducing socioeconomic inequalities would make an important contribution to extending healthy life expectancy and disease-free life expectancy.

Hazardous Drinking Prevalence and Correlates in Older New Zealanders: A Comparison of the AUDIT-C and the CARET.

Objectives: The study compared the proportion of older adults identified as drinking hazardously based on the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) with the older adult-specific Comorbidity Alcohol Risk Evaluation Tool (CARET) and investigated whether sociodemographics, comorbidities, health, medication use, and alcohol-related risk behaviors explained discrepancies between the screens in classification of hazardousness. Method: The AUDIT-C and the CARET were administered to 3,673 adults aged 55 to 89 years. Classification agreement between the screens was evaluated using Cohen's kappa. Hazardous drinking groups were compared using logistic regression. Results: Analysis indicated moderate agreement between the screens. Drinkers classified as "hazardous on the CARET only" consumed less alcohol, but were more likely to drink-drive. Introducing a drink-driving criterion into the calculation of hazardousness on the AUDIT-C substantially decreased the classification discrepancy between the measures. Discussion: Standard screening can be improved by investigating comorbidities, medication use, and alcohol-related risk behaviors in those initially identified as nonhazardous drinkers.

Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease.

BACKGROUND: Loss of physical functioning is an early marker of declining health in older people. The objective of this study was to examine the age-related trajectories of physical functioning among those in full-time work and retirement. METHODS: Based on the Health and Retirement Study, participants who were working full-time or were in full-time retirement and 65-85 years of age during the follow-up period from 1992 to 2010 were included (n=17 844, n of observations from repeated measures in full-time work 5891 and in retirement 57 117). Details of physical functioning were asked about at all study phases and 10 items related to mobility and activities of daily living were summed to obtain a physical functioning score (0-10). RESULTS: The number of physical functioning difficulties increased every 10 years by 0.17 (95% CI 0.04 to 0.29) when in full-time work and by 0.46 (95% CI 0.41 to 0.50) in retirement after adjusting for age, sex, race, education, total wealth, Body Mass Index, smoking, physical activity and number of diseases. Factors that were associated with a significantly greater increase in number of physical functioning difficulties in full-time work and retirement include lifestyle-related risks and chronic conditions. CONCLUSIONS: Physical functioning declines faster in retirement than in full-time work in employees aged 65 years or older and the difference is not explained by absence of chronic diseases and lifestyle-related risks.

Managerial leadership is associated with employee stress, health, and sickness absence independently of the demand-control-support model.

OBJECTIVES: Research on health effects of managerial leadership has only taken established work environment factors into account to a limited extent. We therefore investigated the associations between a measure of Attentive Managerial Leadership (AML), and perceived stress, age-relative self-rated health, and sickness absence due to overstrain/fatigue, adjusting for the dimensions of the Demand-Control-Support model. PARTICIPANTS: Blue- and white-collar workers from Finland, Germany and Sweden employed in a multi-national forest industry company (N=12,622). METHODS: Cross-sectional data on leadership and health from a company-wide survey analysed with logistic regression in different subgroups. RESULTS: AML was associated with perceived stress, age-relative self-rated health, and sickness absence due to overstrain/fatigue after controlling for the Demand-Control-Support model. Lack of AML was significantly associated with a high stress level in all subgroups (OR=1.68-2.67). Associations with age-relative self-rated health and sickness absence due to overstrain/fatigue were weaker, but still significant, and in the expected direction for several of the subgroups studied, suggesting an association between lack of AML and negative health consequences. CONCLUSION: The study indicates that managerial leadership is associated with employee stress, health, and sickness absence independently of the Demand-Control-Support model and should be considered in future studies of health consequences for employees, and in work environment interventions.