Online Program

280158
High costs of poverty for active life expectancy after mid-life: Half the life expectancy, double the disability


Sunday, November 3, 2013

James N. Laditka, DA, PhD, MPA, Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC
Sarah Laditka, PhD, Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC
International research associates poverty with more disability and shorter life. Few U.S. studies address this topic, in part due to inadequate income data. We examined associations between income, disability, and life expectancy with a cohort ages 55+ (mean 67.4), followed 1992-2009 in 12 waves of the nationally representative U.S. Panel Study of Income Dynamics (n=2,165). The outcome was disability in activities of daily living, such as walking or dressing. We estimated monthly probabilities of disability transitions and death with multinomial logistic Markov models focusing on 30 levels of income adjusted for family characteristics, controlling for age, gender, ethnicity, education, and other factors. Measures were updated at each wave, including income inflation adjustment. Using the transition probabilities, we conducted microsimulations of large populations, each individual having a full record of monthly disability status from age 55 to death. Bootstrapping addressed survey design. There was a strong gradient associating income with both outcomes. Beginning at age 55, average remaining years lived and years with disability for the highest income White women were 31.6 and 5.8; analogous estimates for women with lowest incomes were 18.1 and 7.0. Thus, women with the least income lived 13.5 fewer years, 42% of the remaining life of those with highest income, with 111% more disability as a proportion of remaining life. Results for White men: 13.6 fewer years, 116% more disability. For African Americans: 12.6/100% for women, 13.0/108% for men. Findings quantify high costs of poverty in lost life and disability in the U.S.

Learning Areas:

Epidemiology
Public health or related research
Social and behavioral sciences

Learning Objectives:
Compare effects of levels of income on life expectancy and life course disability in a longitudinal analysis of a nationally representative United States sample. Evaluate income-related disparities in active life expectancy, which has been adopted by the World Health Organization and the United States as a central measure of public health. Describe how a widely used method for estimating active life expectancy can now accommodate many more covariates and variable levels than has been previously undertaken, considerably reducing bias due to measurement error and confounding.

Keyword(s): Disability, Poverty

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been the principal investigator on several federally funded grants focusing on active life expectancy, physical and cognitive disability, and health disparities. My research emphasizes life course methods and longitudinal data analysis, and the development of new applications of active life expectancy research methods to better understand causes of disability, poor health, and health disparities.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.