108 research outputs found

    Comparing population health in the United States and Canada

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    <p>Abstract</p> <p>Background</p> <p>The objective of the paper is to compare population health in the United States (US) and Canada. Although the two countries are very similar in many ways, there are potentially important differences in the levels of social and economic inequality and the organization and financing of and access to health care in the two countries.</p> <p>Methods</p> <p>Data are from the Joint Canada/United States Survey of Health 2002/03. The Health Utilities Index Mark 3 (HUI3) was used to measure overall health-related quality of life (HRQL). Mean HUI3 scores were compared, adjusting for major determinants of health, including body mass index, smoking, education, gender, race, and income. In addition, estimates of life expectancy were compared. Finally, mean HUI3 scores by age and gender and Canadian and US life tables were used to estimate health-adjusted life expectancy (HALE).</p> <p>Results</p> <p>Life expectancy in Canada is higher than in the US. For those < 40 years, there were no differences in HRQL between the US and Canada. For the 40+ group, HRQL appears to be higher in Canada. The results comparing the white-only population in both countries were very similar. For a 19-year-old, HALE was 52.0 years in Canada and 49.3 in the US.</p> <p>Conclusions</p> <p>The population of Canada appears to be substantially healthier than the US population with respect to life expectancy, HRQL, and HALE. Factors that account for the difference may include access to health care over the full life span (universal health insurance) and lower levels of social and economic inequality, especially among the elderly.</p

    Barriers to Mental Health Treatment for Military Wives

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    Organization and Financing of Alcohol and Substance Abuse Programs for American Indians and Alaska Natives

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    Objectives. Although American Indians and Alaska Natives have high rates of substance abuse, few data about treatment services for this population are available. We used national data from 1997–2002 to describe recent trends in organizational and financial arrangements. Methods. Using data from the Indian Health Service (IHS), the Substance Abuse and Mental Health Services Administration, the National Institute on Alcohol Abuse and Alcoholism, the Henry J. Kaiser Family Foundation, and the Census Bureau, we estimated the number of American Indians served by substance abuse treatment programs that apparently are unaffiliated with either the IHS or tribal governments. We compared expected and observed IHS expenditures. Results. Half of the American Indians and Alaska Natives treated for substance abuse were served by programs (chiefly in urban areas) apparently unaffiliated with the IHS or tribal governments. IHS substance abuse expenditures were roughly what we expected. Medicaid participation by tribal programs was not universal. Conclusions. Many Native people with substance abuse problems are served by programs unaffiliated with the IHS. Medicaid may be key to expanding needed resources

    Longitudinal trajectories of sleep duration in the general population

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    Background Sleep duration has been associated with overall health status, health behaviours, and mortality. Little is known about habitual longitudinal patterns of sleep in the general population. Furthermore, evidence about whether sleep duration has declined in recent years is contradictory. Data and methods The study was based on 8,673 adults aged 18 or older in 2002/2003 (cycle 5 of the National Population Health Survey) and used five selfreported biennial measurements of sleep duration spanning eight years. Multiple distinct trajectories of sleep duration were estimated using latent class growth modeling. Results Four modelled trajectories of sleep durationwere identified: short (11.1% of the population); low-normal (49.4%); high-normal (37.0%); and long (2.4%). The short, low-normal and highnormal sleep trajectories each exhibited a slight linear decline in hours of sleep over the eight years of follow-up. Poor sleep was predictive of trajectory group membership and associated with a decrease in sleep duration for three of the four groups. Age and sex were also significant predictors of trajectory group membership. Interpretation Trajectory analysis is a useful descriptive tool in the investigation of sleep duration over time
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