Objective: To identify levels of moderate-intensity physical activity (MPA) and vigorous-intensity physical activity (VPA) in a representative sample of college students in six East Asian economies and examine their relationship with weight, alcohol consumption and cigarette smoking. Design: Cross-sectional survey. Setting: College students…

Smoke-free air policies have been shown to reduce smoking, but the mechanism of behavior change is not well understood. The authors used structural equation modeling to conduct a theory of planned behavior analysis with data from 395 smokers living in seven Texas cities, three with a comprehensive smoke-free air law and four without a…

Background: Social networks are important in adolescent smoking behavior. Previous research indicates that peer context is a major causal factor of adolescent smoking behavior. To date, however, little is known about the influence of peer group structure on adolescent smoking behavior. Methods: Studies that examined adolescent social networks with…

Objective and Participants: This study explored (1) the prevalence of cigarette smoking among South Korean international college students in the United States, (2) differences in smoking between on- and off-campus living arrangements, and (3) predictors of an increase in smoking over time in the United States Methods: An online survey was…

Objectives: To investigate the association of current smoking with body mass index (BMI) and perceived body weight among high school students in the United States. Methods: We analyzed data from the 1999-2005 Youth Risk Behavior Survey. Results: Perceived body weight and BMI were associated with adolescents' current smoking. Adjusted odds ratios…

The current study examined the association between membership in the sandwich generation, defined as providing care to both children and parents or in-laws, and five health behaviors: checking the food label for health value when buying foods, using a seat belt, choosing foods based on health value, exercising regularly, and cigarette smoking.…

This study examined the association between cigarette smoking and dieting behaviors and trends in that association among US adolescents in grades 9-12 between 1999 and 2007. Youth Risk Behavior Survey datasets were analyzed using the multivariable logistic regression method. The sample size of each survey year ranged from 13,554 to 15,273 with…

Purpose: A secondary analysis of 2000 and 2004 Indiana Youth Tobacco Survey (IYTS) data was conducted to investigate salient environmental and perceptual correlates of adolescents' current and established smoking while controlling for demographic variables such as gender, grade, and race/ethnicity and to compare the pattern of significant…

There has been no research linking implementation of a public smoking ban and reduced incidence of acute myocardial infarction (AMI) among nonsmoking patients. An ex post facto matched control group study was conducted to determine whether there was a change in hospital admissions for AMI among nonsmoking patients after a public smoking ban was…

Objective: Given the inconsistent findings in the literature, the authors' purpose in this study was to examine the associations between physical activity and behavioral and perceptional correlates, such as binge drinking, cigarette smoking, fruit or vegetable consumption, and weight perceptions, among midwestern college students. Participants and…

Background: To investigate the correlates of youth tobacco use in terms of nonsmoking adolescents' openness to future smoking, a secondary analysis of the 2000 and 2004 Indiana Youth Tobacco Survey (IYTS) was conducted. Methods: A representative sample of 1416 public high school students in grades 9-12 and 1516 public middle school students in…

Background: Inconsistent findings exist regarding correlates of physical activity (PA) in the literature. Leisure-time physical activity among U.S. adults has declined for the last decade. Purpose: This article examines differences in vigorous-intensity and moderate-intensity physical activity by gender, race/ethnicity, age, education, and income…