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Using Multivariate Statistics

How people intentionally change addictive behaviors with and without treatment is not well understood by behavioral scientists. This article summarizes research on self-initiated and professionally facilitated change of addictive behaviors using the key transtheoretical constructs of stages and processes of change. Modification of addictive behaviors involves progression through five stages—precontemplation, contemplation, preparation, action, and maintenance—and individuals typically recycle through these stages several times before termination of the addiction. Multiple studies provide strong support for these stages as well as for a finite and common set of change processes used to progress through the stages. Research to date supports a transtheoretical model of change that systematically integrates the stages with processes of change from diverse theories of psychotherapy.

http://cedd.org.au/wordpress/wp-content/uploads/2014/09/In-Search-of-How-People-Change-Applications-to-Addictive-Behaviours.pdf

In search of how people change: Applications to addictive behaviors.

Purpose:To describe physical activity levels of children (6-11 yr), adolescents (12-19 yr), and adults (20+ yr), using objective data obtained with accelerometers from a representative sample of the U.S. population.Methods:These results were obtained from the 2003-2004 National Health and Nu

Physical activity in the United States measured by accelerometer.

During the past 20 years there has been a dramatic increase in societal interest in preventing disability and death in the United States by changing individual behaviors linked to the risk of contracting chronic diseases. This renewed interest in health promotion and disease prevention has not been without its critics. Some critics have accused proponents of life-style interventions of promoting a victim-blaming ideology by neglecting the importance of social influences on health and disease. This article proposes an ecological model for health promotion which focuses attention on both individual and social environmental factors as targets for health promotion interventions. It addresses the importance of interventions directed at changing interpersonal, organizational, community, and public policy, factors which support and maintain unhealthy behaviors. The model assumes that appropriate changes in the social environment will produce changes in individuals, and that the support of individuals in the population is essential for implementing environmental changes.

An Ecological Perspective on Health Promotion Programs

Numerous studies show that happy individuals are successful across multiple life domains, including marriage, friendship, income, work performance, and health. The authors suggest a conceptual model to account for these findings, arguing that the happiness-success link exists not only because success makes people happy, but also because positive affect engenders success. Three classes of evidence--crosssectional, longitudinal, and experimental--are documented to test their model. Relevant studies are described and their effect sizes combined meta-analytically. The results reveal that happiness is associated with and precedes numerous successful outcomes, as well as behaviors paralleling success. Furthermore, the evidence suggests that positive affect--the hallmark of well-being--may be the cause of many of the desirable characteristics, resources, and successes correlated with happiness. Limitations, empirical issues, and important future research questions are discussed.

/pdf/the-benefits-of-frequent-positive-affect-does-happiness-lead-4k0h6bmoho.pdf

The Benefits of Frequent Positive Affect: Does Happiness Lead to Success?

This article reviews information on discriminatory attitudes and behaviors against obese individuals, integrates this to show whether systematic discrimination occurs and why, and discusses needed work in the field. Clear and consistent stigmatization, and in some cases discrimination, can be documented in three important areas of living: employment, education, and health care. Among the findings are that 28% of teachers in one study said that becoming obese is the worst thing that can happen to a person; 24% of nurses said that they are "repulsed" by obese persons; and, controlling for income and grades, parents provide less college support for their overweight than for their thin children. There are also suggestions but not yet documentation of discrimination occurring in adoption proceedings, jury selection, housing, and other areas. Given the vast numbers of people potentially affected, it is important to consider the research-related, educational, and social policy implications of these findings.

https://onlinelibrary.wiley.com/doi/pdf/10.1038/oby.2001.108

Bias, Discrimination, and Obesity

In a meta-analysis of 88 studies, we examined the association between soft drink consumption and nutrition and health outcomes. We found clear associations of soft drink intake with increased energy intake and body weight. Soft drink intake also was associated with lower intakes of milk, calcium, and other nutrients and with an increased risk of several medical problems (e.g., diabetes).Study design significantly influenced results: larger effect sizes were observed in studies with stronger methods (longitudinal and experimental vs cross-sectional studies). Several other factors also moderated effect sizes (e.g., gender, age, beverage type). Finally, studies funded by the food industry reported significantly smaller effects than did non–industry-funded studies. Recommendations to reduce population soft drink consumption are strongly supported by the available science.

https://ajph.aphapublications.org/doi/pdfplus/10.2105/AJPH.2005.083782

Effects of Soft Drink Consumption on Nutrition and Health: A Systematic Review and Meta-Analysis

http://www.foodaddictionsummit.org/docs/Gearhardt_2008_Appetite.pdf

Preliminary validation of the Yale Food Addiction Scale

In light of proposals to improve diets by shifting food prices, it is important to understand how price changes affect demand for various foods.We reviewed 160 studies on the price elasticity of demand for major food categories to assess mean elasticities by food category and variations in estimates by study design. Price elasticities for foods and nonalcoholic beverages ranged from 0.27 to 0.81 (absolute values), with food away from home, soft drinks, juice, and meats being most responsive to price changes (0.7–0.8). As an example, a 10% increase in soft drink prices should reduce consumption by 8% to 10%.Studies estimating price effects on substitutions from unhealthy to healthy food and price responsiveness among at-risk populations are particularly needed.

https://ajph.aphapublications.org/doi/pdfplus/10.2105/AJPH.2008.151415

Kelly D. Brownell

Papers

Bias, Discrimination, and Obesity

Effects of Soft Drink Consumption on Nutrition and Health: A Systematic Review and Meta-Analysis

Preliminary validation of the Yale Food Addiction Scale

The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food.

Stress may add bite to appetite in women: a laboratory study of stress-induced cortisol and eating behavior