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The Social Determinants of Mental Health aims to fill the gap that exists in the psychiatric, scholarly, and policy-related literature on the social determinants of mental health: those factors stemming from where we learn, play, live, work, and age that impact our overall mental health and well-being. The editors and an impressive roster of chapter authors from diverse scholarly backgrounds provide detailed information on topics such as discrimination and social exclusion; adverse early life experiences; poor education; unemployment, underemployment, and job insecurity; income inequality, poverty, and neighborhood deprivation; food insecurity; poor housing quality and housing instability; adverse features of the built environment; and poor access to mental health care. This thought-provoking book offers many beneficial features for clinicians and public health professionals: Clinical vignettes are included, designed to make the content accessible to readers who are primarily clinicians and also to demonstrate the practical, individual-level applicability of the subject matter for those who typically work at the public health, population, and/or policy level. Policy implications are discussed throughout, designed to make the content accessible to readers who work primarily at the public health or population level and also to demonstrate the policy relevance of the subject matter for those who typically work at the clinical level. All chapters include five to six key points that focus on the most important content, helping to both prepare the reader with a brief overview of the chapter's main points and reinforce the "take-away" messages afterward. In addition to the main body of the book, which focuses on selected individual social determinants of mental health, the volume includes an in-depth overview that summarizes the editors' and their colleagues' conceptualization, as well as a final chapter coauthored by Dr. David Satcher, 16th Surgeon General of the United States, that serves as a "Call to Action," offering specific actions that can be taken by both clinicians and policymakers to address the social determinants of mental health. The editors have succeeded in the difficult task of balancing the individual/clinical/patient perspective and the population/public health/community point of view, while underscoring the need for both groups to work in a unified way to address the inequities in twenty-first century America. The Social Determinants of Mental Health gives readers the tools to understand and act to improve mental health and reduce risk for mental illnesses for individuals and communities. Students preparing for the Medical College Admission Test (MCAT) will also benefit from this book, as the MCAT in 2015 will test applicants' knowledge of social determinants of health. The social determinants of mental health are not distinct from the social determinants of physical health, although they deserve special emphasis given the prevalence and burden of poor mental health.
Published for the World Bank by Oxford University Press Presents a critical appraisal of adjustment programs and draws on case studies of successes and failures with quantitative appraisals of conditionality compliance and country performance.
Over the past decades Europe has witnessed fundamental changes of its population dynamics and population structure. Fertility has fallen below replacement level in almost all European countries, while childbearing behavior and family formation have become more diverse. Life expectancy has increased in Western Europe for both females and males, but has been declining for men in some Eastern European countries. Immigration from non-European countries has increased substantially, as has mobility within Europe. These changes pose major challenges to population studies, as conventional theoretical assumptions regarding demographic behavior and demographic development seem unfit to provide convincing explanations of the recent demographic changes. This book, derived from the symposium on “The Demography of Europe” held at the Max Planck Institute for Demographic Research in Rostock, Germany in November 2007 in honor of Professor Jan M. Hoem, brings together leading population researchers in the area of fertility, family, migration, life-expectancy, and mortality. The contributions present key issues of the new demography of Europe and discuss key research advances to understand the continent’s demographic development at the turn of the 21st century.
In order to assess the coverage and the quality of the census data of the 1991 census, the Census Validation Survey (CVS) was carried out by the Social Survey Division of OPCS. The survey produced estimates of household spaces, households, and persons together with 95 percent confidence intervals. The CVS estimated the census undercount from six different samples, five of which were drawn from the census records and hence dependent. From the comparison between 1991 census results and demographic estimates, it was felt that CVS failed to estimate the true undercount figure of the 1991 census. Moreover, the CVS methodology was unable to estimate the undercount by age, sex, race, and geographic categories. This book presents methods for estimating population by age, sex, and race, as well as geographic categories. Three different estimators, Chandra-Sekar, Greenfield, and El-Sayed Nour, using information from two different sources (census and survey), are discussed. Adjustment factors are generally computed as the ratios of these estimates to the census counts. Average estimates from these three estimators may produce better adjustment factors. Models to produce more accurate estimates of the size of the closed population by using a second sample by matching with census and survey are also discussed. The models we present provide a mechanism for separating out the dependence between census and survey data induced by individual heterogeneity. The resulting data take the form of 2x2x2 table, in which only one of the eight cells is unknown. Using log-linear quasi-symmetry models we describe how to estimate the expected values of the observable cells of this table. To estimate the populations for local authorities (LA), a regression method is presented. The resulting estimates are found to be more accurate than the CVS estimates and were also close to the 1991 demographic estimates. We describe a methodology for estimating the accuracy of the dual systems estimates of population with the help of hypothetical data. The methodology is based on decompositions of the total error into components, such as sampling error, matching error, and other nonsampling errors. An imputation method and some recommendations are also discussed.
This book discusses the biological, methodological and sociological issues that have caused men to be overlooked in demographic and sociological literature of fertility. It explores the patterns and determinants of male fertility and studies male fertility rates as compared to those of females in 43 countries and places, over time. Data used in the aggregate level analysis come from multiple sources, including the 2001 United Nations Demographic Yearbook, the 1964 to 2004 Taiwan-Fukien Demographic Yearbooks, and National Statistics Reports by the Statistics Bureau of Republic of China. To explore male fertility determinants, the book analyzes individual data from the 2002 National Survey of Family Growth (NSFG) in the United States. The findings presented here demonstrate that male fertility differs from female fertility in both rates and determinants, which suggests that female fertility cannot fully represent human fertility.
This publication provides a comprehensive compendium of the current state of Germany’s research infrastructure in the social, economic, and behavioural sciences. In addition, the book presents detailed discussions of the current needs of empirical researchers in these fields as well as of opportunities for future development. The importance of solid data for both public policy and the social and economic sciences is obvious. Today, empirical research is essential in finding solutions to many of the major challenges our society faces, such as environmental change, turbulent financial markets, and population growth. Based on 68 advisory reports by more than 100 internationally recognised authors from a wide range of fields, the book provides recommendations by the German Data Forum (RatSWD) on how to improve the research infrastructure so as to create conditions ideal for making Germany’s social, economic, and behavioural sciences more innovative and internationally competitive.