Lindsay Boeckman
Biographic Data
| ID | 7559244 |
|---|---|
| NAME | Lindsay Boeckman |
| GIVEN NAMES | Lindsay |
| FAMILY NAME | Boeckman |
| SIGNATURE | BOECKMAN L |
| AFFILIATIONS | University of Oklahoma Health Sciences Center |
| ORCID | 0000-0002-2622-9853 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Unique cessation tools in the box
It is estimated that the prevalence of smoking among adults with MHDs ranges between 40-60%, as compared to about 17% among those without an MHD. In addition, smokers with MHDs smoke more cigarettes, are more nicotine dependent, and experience more difficulty quitting, compared to other smokers. The uniquely high smoking prevalence among the MHD population is a serious public health concern; unfortunately, a majority of individuals experiencing d…
Youth Assets, Neighborhood Factors, Parental Income, and Tobacco Use
This study aimed to assess how the relationship between youth assets and future no-tobacco use among youth might differ according to race/ethnicity, neighborhood factors and socio-economic status. Five waves of annual data were collected from 1111 youth/parent pairs living in Oklahoma, USA who were randomly selected to participate in the Youth Asset Study (YAS). A marginal logistic regression model using all five waves of no-tobacco use, demograp…
Demographic Factors Predict Disparities in Number of Assets Youth Possess
Youth assets may be 1 mechanism that explains the negative effects of some demographic factors, particularly 1-parent families and low-parent education, on youth risk behaviors and health
Television viewing and variations in energy intake in adults and children in the USA
Objective Examine the association between energy intake and television (TV) viewing in Americans. Design Nationally representative, cross-sectional study of 2003–2006 National Health and Nutrition Examination Survey. Setting Total energy intake was determined by two 24 h recalls. TV viewing was reported as low (≤1 h/d), middle (2–3 h/d), and high (≥4 h/d). Multivariate linear regression models were used to analyse TV viewing and energy intake, ad…
No prominent works on this page.
Television viewing and variations in energy intake in adults and children in the USA
Objective Examine the association between energy intake and television (TV) viewing in Americans. Design Nationally representative, cross-sectional study of 2003–2006 National Health and Nutrition Examination Survey. Setting Total energy intake was determined by two 24 h recalls. TV viewing was reported as low (≤1 h/d), middle (2–3 h/d), and high (≥4 h/d). Multivariate linear regression models were used to analyse TV viewing and energy intake, ad…
Demographic Factors Predict Disparities in Number of Assets Youth Possess
Youth assets may be 1 mechanism that explains the negative effects of some demographic factors, particularly 1-parent families and low-parent education, on youth risk behaviors and health
Unique cessation tools in the box
It is estimated that the prevalence of smoking among adults with MHDs ranges between 40-60%, as compared to about 17% among those without an MHD. In addition, smokers with MHDs smoke more cigarettes, are more nicotine dependent, and experience more difficulty quitting, compared to other smokers. The uniquely high smoking prevalence among the MHD population is a serious public health concern; unfortunately, a majority of individuals experiencing d…
Youth Assets, Neighborhood Factors, Parental Income, and Tobacco Use
This study aimed to assess how the relationship between youth assets and future no-tobacco use among youth might differ according to race/ethnicity, neighborhood factors and socio-economic status. Five waves of annual data were collected from 1111 youth/parent pairs living in Oklahoma, USA who were randomly selected to participate in the Youth Asset Study (YAS). A marginal logistic regression model using all five waves of no-tobacco use, demograp…
Medicine (4 works) · Demography (3 works) · Demography (3 works) · Environmental health (3 works) · Health disparities and outcomes (3 works) · Psychology (3 works) · Developmental psychology (2 works) · Ethnic group (2 works) · Geography (2 works) · Gerontology (2 works)