In this engaging and accessibly written book, Population Health in America weaves demographic data with social theory and research to help students understand health patterns and trends in the U.S. population. While life expectancy was estimated to be just 37 years in the United States in 1870, today it is more than twice as long, at over 78 years. Yet today, life expectancy in the U.S. lags behind almost all other wealthy countries. Within the U.S., there are substantial social inequalities in health and mortality: women live longer but less healthier lives than men; African Americans and Native Americans live far shorter lives than Asian Americans and White Americans; and socioeconomic inequalities in health have been widening over the past 20 years. What accounts for these population health patterns and trends? Inviting students to delve into population health trends and disparities, demographers Robert Hummer and Erin Hamilton provide an easily understandable historical and contemporary portrait of U.S. population health. Perfect for courses such as population health, medical or health sociology, social epidemiology, health disparities, demography, and others, as well as for academic researchers and lay persons interested in better understanding the overall health of the country, Population Health in America also challenges students, academics, and the public to understand current health policy priorities and to ask whether considerably different directions are needed.
The simplicity of using one data set in addressing the relationship of single variables to mortality distinguishes Living and Dying in the USA from other recent investigations of mortality. The authors use the recently released National Health Interview Survey and the National Death Index to make a definitive statement about demographics and mortality. By surveying demographic and sociocultural characteristics associated with mortality, socioeconomic effects, health-related conditions, and health status, they reveal connections among several factors related to mortality chances. Easily understood and cited, their study emphasizes the statistical methods underlying their revelations and invites readers to duplicate their results. - Comprehensive coverage of US adult mortality differentials - Based on a new and innovative data set - Includes factors rarely examined in related mortality research - Not only documents mortality differentials, but explores explanations for them - Extensive list of references associated with each chapter - Consistent, straightforward methodology used throughout aids readers in both understanding the content and in comparing results from chapter to chapter
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