In recent years, there has been a growing awareness of the multiple interrelationships between depression and various physical diseases. The WPA is providing an update of currently available evidence on these interrelationships by the publication of three books, dealing with the comorbidity of depression with diabetes, heart disease and cancer. Depression is a frequent and serious comorbid condition in diabetes, which adversely affects quality of life and the long-term prognosis. Co-occurrent depression presents peculiar clinical challenges, making both conditions harder to manage. Depression and Diabetes is the first book devoted to the interaction between these common disorders. World leaders in diabetes, depression and public health synthesize current evidence, including some previously unpublished data, in a concise, easy-to-read format. They provide an overview of the epidemiology, pathogenesis, medical costs, management, and public health and cultural implications of the comorbidity between depression and diabetes. The book describes how the negative consequences of depression in diabetes could be avoided, given that effective depression treatments for diabetic patients are available. Its practical approach makes the book ideal for all those involved in the management of these patients: psychiatrists, psychologists, diabetologists, general practitioners, diabetes specialist nurses and mental health nurses.

Psychosocial Care for People with Diabetes describes the major psychosocial issues which impact living with and self-management of diabetes and its related diseases, and provides treatment recommendations based on proven interventions and expert opinion. The book is comprehensive and provides the practitioner with guidelines to access and prescribe treatment for psychosocial problems commonly associated with living with diabetes.

Manage type 1 diabetes with confidence and ease Getting diagnosed with type 1 diabetes is unsettling news, but know that your life will still be rich and full of joy post-diagnosis. In Type 1 Diabetes for the Newly Diagnosed, you'll discover the answers to the questions you didn't ask at the doctor's office and get a glimpse into what life will look like for you and your family now and further into the future. This all-encompassing guide on coming to terms and living with type 1 diabetes is packed with helpful information to assist you in these early days. From tracking your blood sugar to counting carbs, you'll find everything you need to live healthfully with assurance and calm. Type 1 Diabetes for the Newly Diagnosed includes: Practical guidance--Learn how to ride out the ups and downs of the honeymoon phase and everyday blood sugar management. Your questions answered--Each chapter closes with an informative FAQ section to answer any lingering concerns you may have. Real stories--Read about the experiences of real-life diabetics, who present a realistic picture of living with type 1 diabetes. You can live a plentiful life after being diagnosed with type 1 diabetes--this book shows you how.

Something everyone has the power to do is reduce your cancer risk, and this book will show you just how easy it is to do it. Each year, over a million people in the United States alone hear the words no one ever wants to hear: You have cancer. But what if there was a way for fewer people to hear these words? One of the biggest myths regarding cancer is that it’s mostly genetic - meaning that you have no control over whether you get it. While genetics do have an impact, the truth is that your lifestyle and environment play the major role. Physician and Chief Medical Offer of WebMD John Whyte, MD, MPH, shares straightforward information and equips you with strategies to help you on a journey to better health. In Take Control of Your Cancer Risk, Dr. Whyte provides helpful tips including: assessing your cancer risk knowing which screenings you need, and when learning the role food, exercise, and sleep play understanding the relationship between stress and cancer Take Control of Your Cancer Risk is filled with practical advice that empowers you to really take control of our health.

More people than ever before have diabetes. The disease affects an estimated 21 million adults and children in the US and many people with the disease don't have it under control. Unlike years ago, you have a good chance of living an active and healthy life with diabetes - provided you work with your health-care team to take the necessary steps to control your blood sugar. This title covers: the pre-diabetes stage - taking charge to prevent diabetes; types of diabetes; symptoms and risk factors; treatments and strategies for managing your blood sugar; avoiding serious complications; advances in insulin delivery and new medications; and, recipes.

Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are covered, as an integral part of glucose predictive models. This book will help engineers and clinicians to: select a regression technique which can capture both linear and non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary conditions; ensure the scalability of the optimization algorithm (learning mechanism) with respect to the size of the dataset, provided that multiple days of patient monitoring are needed to obtain a reliable predictive model; select a features set which efficiently represents both spatial and temporal dependencies between the input variables and the glucose concentration; select simulation models of subcutaneous insulin absorption and meal absorption; identify an appropriate validation procedure, and identify realistic performance measures. Describes fundamentals of modeling techniques as applied to glucose control Covers model selection process and model validation Offers computer code on a companion website to show implementation of models and algorithms Features the latest developments in the field of diabetes predictive modeling