Thinfluence


Book Description

How to recognize and combat the external factors that cause weight gain and make it difficult to lose weight Tackling a weight problem is often viewed as a personal responsibility that requires making healthier choices. The latest research, however, shows that external factors—from family and friendships to advertising and the workplace environment—have an equal, if not greater, impact on America's growing waistline. Just look at the stats: A person's chance of becoming obese increases by 57 percent if a close friend is obese, 40 percent if a sibling is obese, and 37 percent if a spouse is obese. That's where Thinfluence comes in. Through a research-based examination of the various social, environmental, and policy-based issues that are influencing the nation's health, Harvard researchers Dr. Walter Willett and Dr. Malissa Wood examine how relationships, workplace, media, and other factors are affecting readers' weight. The book offers a clear three-step action plan—analyze, act, influence—for readers to identify hidden factors affecting weight, develop a personal toolbox to combat external effects, and become positive influences on others around them. Thinfluence doesn't tell readers to ditch their friends and family, change jobs, or move to another state. It helps them identify barriers to weight loss success and arms them with the tools to overcome these negative forces. This book takes a fresh look at today's weight control discussion, taking it where it has seldom gone before: outside of the individual.




Thinfluence


Book Description

Tackling a weight problem is often viewed as a personal responsibility that requires making healthier choices. The latest research, however, shows that external factors—from family and friendships to advertising and the workplace environment—make an equal, if not greater, contribution. Just look at the stats: A person's chance of becoming obese increases by 57 percent if a close friend is obese, 40 percent if a sibling is obese, and 37 percent if a spouse is obese. That's where Thinfluence comes in. Through a research-based examination of various social, environmental, and policy-based issues, renowned Harvard researchers Dr. Walter Willett and Dr. Malissa Wood examine how relationships, workplace, media, and other factors are affecting readers' weights. Thinfluence doesn't tell readers to ditch their friends and family, change jobs, or move to another state. It offers a clear three-step action plan—analyze, act, influence—for readers to identify hidden factors affecting weight, develop a personal toolbox to combat external effects, and become positive influences on others around them.







America: What Went Wrong?


Book Description

Articles and graphics describe economic conditions since the 1980s and their effect on the nation.




Semiparametric Theory and Missing Data


Book Description

This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.







Just Eat


Book Description

The New York Times bestselling author of Tomatoland test drives the most popular diets of our time, investigating the diet gurus, contradictory advice, and science behind the programs to reveal how we should—and shouldn’t—be dieting. “Essential reading . . . This will completely change your ideas about what you should be eating.”—Ruth Reichl, author of Save Me the Plums Investigative journalist Barry Estabrook was often on the receiving end of his doctor’s scowl. Realizing he had two options—take more medication or lose weight—Estabrook chose the latter, but was paralyzed by the options. Which diet would keep the weight off? What program could he maintain over time? What diet works best—or even at all? Over the course of three years, Estabrook tried the regimens behind the most popular diets of the past forty years—from paleo, keto, gluten-free, and veganism to the Master Cleanse, Whole30, Atkins, Weight Watchers—examining the people, claims, and science behind the fads, all while recording his mental and physical experience of following each one. Along the way, he discovered that all the branded programs are derived from just three diets. There are effective, scientifically valid takeaways to be cherry-picked . . . and the rest is just marketing. Perhaps most alarming, Estabrook uncovered how short-term weight loss can do long-term health damage that may go undetected for years. Estabrook contextualizes his reporting with an analysis of our culture’s bizarre dieting history, dating back to the late 1800s, to create a thorough—and thoroughly entertaining—look at what specific diets do to our bodies, why some are more effective than others, and why our relationship with food is so fraught. Estabrook’s account is a relatable, pragmatic look into the ways we try to improve our health through dieting, revealing the answer may be to just eat.




MSEA 2023


Book Description

The 2nd International Conference on Mathematical Statistics and Economic Analysis (MSEA 2023) was held virtually from 26-28 May 2023 in Nanjing, China. The conference was attended by researchers, teachers, students and engineers in the field of mathematical statistics and economic analysis. Through data statistics and analysis, we can quickly understand the pattern of economic development. This conference combines mathematical statistics and economic analysis, explores the relationship between the two, and provides a platform for experts and scholars in the fields of mathematical statistics and economic analysis to discuss related issues and exchange ideas. Therefore, we hope to create a forum for sharing research results and exploring future research directions, so that participants can learn about the latest research directions, contents and results of mathematical statistics and economic analysis; secondly, we hope that the conference can provide solutions to the major problems facing mathematical statistics and economic analysis, and create a space that encourages discussion and joint development of research, technological development and innovation.







Referativnyĭ zhurnal


Book Description