The Strategy of Preventive Medicine by Geoffrey Rose, first published in 1993, remains a key text for anyone involved in preventive medicine. Rose's insights into the inextricable relationship between ill health, or deviance, in individuals and populations they come from, have transformed our whole approach to strategies for improving health. His personal and unique book, based on many years research, sets out the case that the essential determinants of the health of society are to be found in its mass characteristics. The deviant minority can only be understood when seen in its societal context, and effective prevention requires changes which involve the population as a whole. He explores the options for prevention, considering them from various viewpoints - theoretical and scientific, sociological and political, practical and ethical. The applications of his ideas are illustrated by a variety of examples ranging from heart disease to alcoholism to road accidents. His pioneering work focused on a population wide approach to the prevention of common medical and behavioral disorders has become the classic text on the subject. This reissue brings the original text to a new generation involved in preventive medicine. Kay-Tee Khaw and Michael Marmot retain the original text intact, but have added their own perspective on the work. They examine what relevance Rose's ideas might have in the era of the human genome project and other major scientific advances, they consider examples of how the theory might be applied and generalised in medicine and beyond, and discuss what implications it holds for the future. There is also an explanation of the population perspective, clarifying the often confused thinking and arguments about determinants of individual cases and determinants of population incidence. Rose's Strategy of Preventive Medicine will ensure that this seminal work continues to be read by future generations.

TRB Special Report 282: Does the Built Environment Influence Physical Activity? Examining the Evidence reviews the broad trends affecting the relationships among physical activity, health, transportation, and land use; summarizes what is known about these relationships, including the strength and magnitude of any causal connections; examines implications for policy; and recommends priorities for future research.

Regular physical activity is proven to help prevent and treat noncommunicable diseases (NCDs) such as heart disease stroke diabetes and breast and colon cancer. It also helps to prevent hypertension overweight and obesity and can improve mental health quality of life and well-being. In addition to the multiple health benefits of physical activity societies that are more active can generate additional returns on investment including a reduced use of fossil fuels cleaner air and less congested safer roads. These outcomes are interconnected with achieving the shared goals political priorities and ambition of the Sustainable Development Agenda 2030. The new WHO global action plan to promote physical activity responds to the requests by countries for updated guidance and a framework of effective and feasible policy actions to increase physical activity at all levels. It also responds to requests for global leadership and stronger regional and national coordination and the need for a whole-of-society response to achieve a paradigm shift in both supporting and valuing all people being regularly active according to ability and across the life course. The action plan was developed through a worldwide consultation process involving governments and key stakeholders across multiple sectors including health sports transport urban design civil society academia and the private sector.

Transportation and Public Health: An Integrated Approach to Policy, Planning, and Implementation helps current and future transportation professionals integrate public health considerations into their transportation planning, thus supporting sustainability and promoting societal health and well-being. The book defines key issues, describes potential solutions, and provides detailed examples of how solutions have been implemented worldwide. In addition, it demonstrates how to identify gaps in existing policy frameworks. Addressing a critical and emerging urgent need in transportation and public health research, the book creates a coherent, inclusive and interdisciplinary framework for understanding. By integrating principles from transportation planning and engineering, health management, economics, social and organizational psychology, the book deepens understanding of these multiple perspectives and tensions inherent in integrating public health and transportation planning and policy implementation.

There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of their practical applications. Presents a unified framework for both theoretical and practical aspects of statistical matching. Provides a detailed description covering all the steps needed to perform statistical matching. Contains a critical overview of the available statistical matching methods. Discusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty. Includes numerous examples and applications, enabling the reader to apply the methods in their own work. Features an appendix detailing algorithms written in the R language. Statistical Matching: Theory and Practice presents a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.