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The Effect of Fast Food Restaurants on Obesity and Weight Gain

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TLDR
The implied effects of fast-food on caloric intake are at least one order of magnitude larger for students than for mothers, consistent with smaller travel cost for adults.
Abstract
We investigate how changes in the supply of fast food restaurants affect weight outcomes of 3 million children and 3 million pregnant women. Among ninth graders, a fast food restaurant within 0.1 miles of a school results in a 5.2 percent increase in obesity rates. Among pregnant women, a fast-food restaurant within 0.5 miles of residence results in a 1.6 percent increase in the probability of gaining over 20 kilos. The implied effects on caloric intake are one order of magnitude larger for children than for mothers, consistent with smaller travel cost for adults. Non-fast food restaurants and future fast-food restaurants are uncorrelated with weight outcomes.

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Proceedings ArticleDOI

PEIR, the personal environmental impact report, as a platform for participatory sensing systems research

TL;DR: The running PEIR system is evaluated, which includes mobile handset based GPS location data collection, and server-side processing stages such as HMM-based activity classification (to determine transportation mode); automatic location data segmentation into "trips"; lookup of traffic, weather, and other context data needed by the models; and environmental impact and exposure calculation using efficient implementations of established models.
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Does food marketing need to make us fat? a review and solutions

TL;DR: In this paper, a review examines current food marketing practices to determine how exactly they may be influencing food intake, and how food marketers could meet their business objectives while helping people eat healthier.
Journal ArticleDOI

Calorie Posting in Chain Restaurants

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Social Ecology: Lost and Found in Psychological Science.

TL;DR: It is demonstrated that economic systems, political systems, religious systems, climates, and geography exert a distal yet important influence on human mind and behavior.
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Obesity and Type 2 Diabetes in Children: Epidemiology and Treatment

TL;DR: Research addressing the prevention of obesity and T2D among youth is urgently needed and there is evidence for the efficacy of family-based behavioral treatment to control weight and improve health outcomes.
References
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Journal ArticleDOI

Psychology and Economics: Evidence from the Field

TL;DR: The authors survey the empirical evidence from the field on three classes of deviations from the standard model: nonstandard prefer- ences, nonstandard beliefs, and nonstandard decision making, and present evidence on overcon- fidence, on the law of small numbers and on projection bias.
Journal ArticleDOI

Why Have Americans Become More Obese

TL;DR: In the early 1960s, the average American adult male weighed 168 pounds and the average female adult weight rose from 143 pounds to over 155 pounds (U.S. Department of Health and Human Services, 1977, 1996) as mentioned in this paper.
Posted Content

An Economic Analysis of Adult Obesity: Results from the Behavioral Risk Factor Surveillance System

TL;DR: In this paper, the authors examined the factors that may be responsible for the rapidly increasing prevalence of obesity in the United States and found that these factors have the expected effects on obesity and explain a substantial amount of its trend.
Journal ArticleDOI

An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System.

TL;DR: In this article, the authors examined the factors that may be responsible for the 50% increase in the number of obese adults in the US since the late 1970s and found that these variables have the expected effects on obesity and explain a substantial amount of its trend.
Posted Content

Beyond BMI: The Value of More Accurate Measures of Fatness and Obesity in Social Science Research

TL;DR: In this article, the authors evaluate more accurate measures of fatness (total body fat, percent body fat and waist circumference) that have greater theoretical support in the medical literature and provide conversion formulas based on NHANES data so that researchers can calculate the estimated values of these more accurate features using the self-reported weight and height available in many social science datasets.
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