Objectives. Concerns about SES disparities in smoking and prospects that current anti-tobacco policies will reduce disparities suggest the need to examine recent trends. This study describes changes in smoking prevalence by education level for race and gender groups from 1976 to 2005. Methods. The analysis uses a measure of self-reported current smoking gathered in 23 National Health Interview Surveys. Logistic regression models test for differences in smoking changes across four education groups (0-11, 12, 13-15, and 16+ years of schooling) and use quadratic coefficients for year to generate predicted values and smoothed trends in smoking for each education group (with race-gender groups both combined and treated separately). Results. With...
OBJECTIVES: This study investigated whether socioeconomic factors explain racial/ethnic differences ...
OBJECTIVE: To determine those groups who are at increased risk of smoking related diseases, we asses...
Objectives. We used data gathered from 6259 youths between the ages of 13 and 23 years to compare tr...
Reducing tobacco use is an important public health objective. It is the largest preventable cause of...
Can an intervention program that is highly effective in reducing the prevalence of an unhealthy beha...
ObjectivesWe examined smoking cessation rate by education and determined how much of the difference ...
This study investigates the evolution of educational disparities in smoking uptake across cohorts fo...
Background: Although higher socioeconomic status (SES) indicators such as educational attainment are...
Although past studies have compared cigarette smoking patterns in Hispanics and whites, few have exa...
Objective: To examine whether trends in smoking behaviour in Western Europe between 1985 and 2000 di...
AbstractThis study investigates the evolution of educational disparities in smoking uptake across co...
BACKGROUND: Studies explaining educational differences in health often employ current smoking as a m...
We study how advances in scientific knowledge affect the evolution of disparities in health. Our foc...
OBJECTIVE: To investigate international variations in smoking associated with educational level. DES...
Background Smoking is declining, but in most countries lower educated smoke more than higher educat...
OBJECTIVES: This study investigated whether socioeconomic factors explain racial/ethnic differences ...
OBJECTIVE: To determine those groups who are at increased risk of smoking related diseases, we asses...
Objectives. We used data gathered from 6259 youths between the ages of 13 and 23 years to compare tr...
Reducing tobacco use is an important public health objective. It is the largest preventable cause of...
Can an intervention program that is highly effective in reducing the prevalence of an unhealthy beha...
ObjectivesWe examined smoking cessation rate by education and determined how much of the difference ...
This study investigates the evolution of educational disparities in smoking uptake across cohorts fo...
Background: Although higher socioeconomic status (SES) indicators such as educational attainment are...
Although past studies have compared cigarette smoking patterns in Hispanics and whites, few have exa...
Objective: To examine whether trends in smoking behaviour in Western Europe between 1985 and 2000 di...
AbstractThis study investigates the evolution of educational disparities in smoking uptake across co...
BACKGROUND: Studies explaining educational differences in health often employ current smoking as a m...
We study how advances in scientific knowledge affect the evolution of disparities in health. Our foc...
OBJECTIVE: To investigate international variations in smoking associated with educational level. DES...
Background Smoking is declining, but in most countries lower educated smoke more than higher educat...
OBJECTIVES: This study investigated whether socioeconomic factors explain racial/ethnic differences ...
OBJECTIVE: To determine those groups who are at increased risk of smoking related diseases, we asses...
Objectives. We used data gathered from 6259 youths between the ages of 13 and 23 years to compare tr...