Steep socioeconomic hierarchy in post-industrial Western society threatens public health because of the physiological consequences of material and psychosocial insecurities and deprivations. Following on from their previous books, the authors continue their exploration of the geography of early mortality from age-related chronic conditions, of risk behaviors and their health outcomes, and of infant and child mortality, all due to rigid hierarchy. They divide the 50 states into those that gave their electoral college votes to Trump and those that gave theirs to Clinton in the 2016 presidential election and compare the two sets for socioeconomic and public health profiles. They deliberately apply only simple standard statistical methods in the public health analyses: t-test, Mann-Whitney test, bivariate regression, and backward stepwise multivariate regression. The book assumes familiarity with basic statistics.
The authors argue that the unequal power relations that result in eroding public health in the nation and, in particular, in the Trump-voting states, largely cascade from the collapse of American industry, and they analyze the Cold War roots of that collapse. In two largely independent chapters on economics, they explore both the suppression of countervailing forces, such as organized labor, and the diversion of technical resources to the military as essential foundations to the population-level suffering that expressed itself in the 2016 presidential election.
This interdisciplinary book has several primary audiences: creators of public policies, such as legislators and governmental staff, public health professionals and social epidemiologists, economists, labor union professionals, civil rights advocates, political scientists, historians, and students of these disciplines from public health through the social sciences.
PART I The context 1 What we learned from the right-to-work study 2 Socioeconomic structures of the Trump and Clinton sets of states 3 Life and death in America PART II The findings 4 Mortality rates of infants and children under age 15 4.1 Infant mortality 4.2 Deaths of children 1–4 years old per 100,000 4.3 Deaths of children 5–9 and 10–14 years of age 4.4 Excess years of life lost in Trump states 5 Vital blood vessels: mortality rates from coronary heart and from cerebrovascular disease 5.1 Introduction 5.2 Coronary heart mortality rates below age 75 5.3 Cerebrovascular mortality rates 6 Obesity and diabetes 6.1 Introduction 6.2 Adult obesity prevalence in 2015: comparison of Trump and Clinton sets of states 6.3 Diabetes mortality rates 6.4 Obesity, diabetes, coronary heart disease, and cerebrovascular disease 7 Risk behaviors 7.1 Eating your veggies and fruit 7.2 Vehicle fatality incidence 2015 7.3 Cigarettes and alcohol 7.4 Unsafe sex: births to teenagers and gonorrhea 7.5 Homicide 7.6 Index of risk behavior 7.7 Why risk behaviors? 8 Alzheimer’s disease and state voting patterns 9 Roots of health patterns of Trump- and Clinton-voting states PART III Power and inequality 10 The collapse of countervailing force 10.1 Introduction 10.2 The control of inherent instability 10.3 Failure of control I 10.4 Failure of control II 10.5 Discussion and conclusions 11 Pentagon capitalism: the Cold War and US deindustrialization 11.1 Introduction 11.2 Ratchet dynamics I 11.3 Ratchet dynamics II 11.4 Ratchet dynamics III 11.5 Ratchet dynamics IV 11.6 Failure of efficiency in economic enterprise 11.7 The hysteresis of industrial collapse 11.8 Discussion and conclusions 12 Countervailing forces and their geographic ebbing: public health changes 13 References 14 Data sets and their sources 14.1 Economic 14.2 Demographic 14.3 Education/social 14.4 Political engagement 14.5 Life expectancy and death rates 14.6 Obesity and diabetes prevalence 14.7 Other risk behaviors
Deborah Wallace is an ecologist who pioneered the transfer of ecosystem analytical approaches to social epidemiology and health inequality. Rodrick Wallace is a research scientist in epidemiology at the New York State Psychiatric Institute. He is well-known for modeling cognitive processes ranging from cellular-level immunity up to national economies and to decision-making in large institutions.
