Journal of Child & Adolescent Substance Abuse, Jun 25, 2007
This report presents the experimental approach and baseline findings from “Look at Your Health,” ... more This report presents the experimental approach and baseline findings from “Look at Your Health,” an ongoing study to develop and evaluate a computer-assisted, counselor-delivered smoking cessation program for community college students. It describes the expert system software program used for data collection and for provision of tailored feedback, individualized quitting strategies, and personalized newsletters. The transtheoretical model of change, the
We examined the concurrent and predictive validity of stages of change and susceptibility to smok... more We examined the concurrent and predictive validity of stages of change and susceptibility to smoking with respect to smoking onset among adolescents. We also sought to determine whether concurrent use of the two constructs, in the form of an integrated stage/susceptibility index, would predict adolescent smoking acquisition better than eithe r construct alone. Data were examinedfrom two study populations: a prospective study of 1,124 elementary-school through senior-high-school students and a cross-sectional study of 5,624 high-school students. Both constructs demonstrated good concurrent and predictive validity. A measure integrating the stages of smoking acquisition and susceptibility to smoking constructs was created by dividing the precontemplation group as a function of susceptibility. This new classification system yielded better concurrent and predictive validity than did either stage of smoking acquisition or susceptibility to smoking alone.
This report describes a longitudinal study of the natural course of smoking initiation in a schoo... more This report describes a longitudinal study of the natural course of smoking initiation in a school-based, ethnically diverse (42% White, 37% African American, 20% Hispanic) sample of adolescents in grades 5, 8, and 12 who were followed prospectively for 1 year. A cohort of 659 students was identified who were never smokers at baseline and who completed questionnaires both at baseline and at 1-year follow-up. From this cohort, predictor variables were used to identify ethnic-specific risk factors for (a) "susceptibility to smoking" among the 509 students who were nonsusceptible, never smokers at baseline and (b) "ever smoking" among all 659 students who were never smokers at baseline (both susceptible and nonsusceptible). Logistic regression analyses revealed that parental and household influences (parental education, marital status, household smoking) were important predictors of ever smoking, but not of susceptibility to smoking, for African Americans. Hispanic adolescents were significantly influenced by environmental influences, namely smoking by other household members (ever smoking) and by peers (susceptibility and ever smoking), although peer pro-tobacco influences (friends who smoke or friends' approval of smoking) were important predictors of susceptibility to smoking or ever smoking for all three ethnic groups. Exposure to tobacco-related advertising was a risk factor for White (susceptibility and ever smoking) and African American (susceptibility only) adolescents but not for Hispanic adolescents. Inclusion of the susceptibility to smoking variable in the model predicting ever smoking substantially reduced the importance of other predictors in the model, suggesting that susceptibility to smoking was not an independent risk factor for ever smoking but rather a potential mediating variable. The results of this study offer important insights for designing ethnic-specific strategies for preventing smoking during adolescence.
Secondhand smoke (SHS) is caused by burning tobacco products that emit up to 7000 chemicals and o... more Secondhand smoke (SHS) is caused by burning tobacco products that emit up to 7000 chemicals and over 70 carcinogenic compounds. Thirdhand smoke (THS) is solid residue remaining on furniture and carpets, including suspended particles derived from a burned tobacco product. Exposure to these compounds occurs through inhalation, oral ingestion, or dermal uptake. Examples of the tobacco smoke pollutants can include nicotine, benzene, naphthalene, formaldehyde, and nitrosamines related to tobacco. Exposure to SHS and THS are preventable. Infants and young children suffer disproportionately from tobacco-related pediatric disease since they spend much of their time indoors in households and cars. Despite growing awareness of the need to protect children from exposures, a recent survey reported more than 50% of children aged 3 to 11 were exposed to SHS. Although school-based health interventions have targeted healthful nutrition and physical activity among preschoolers and kindergarten, data...
Journal of Child & Adolescent Substance Abuse, Jun 25, 2007
This report presents the experimental approach and baseline findings from “Look at Your Health,” ... more This report presents the experimental approach and baseline findings from “Look at Your Health,” an ongoing study to develop and evaluate a computer-assisted, counselor-delivered smoking cessation program for community college students. It describes the expert system software program used for data collection and for provision of tailored feedback, individualized quitting strategies, and personalized newsletters. The transtheoretical model of change, the
We examined the concurrent and predictive validity of stages of change and susceptibility to smok... more We examined the concurrent and predictive validity of stages of change and susceptibility to smoking with respect to smoking onset among adolescents. We also sought to determine whether concurrent use of the two constructs, in the form of an integrated stage/susceptibility index, would predict adolescent smoking acquisition better than eithe r construct alone. Data were examinedfrom two study populations: a prospective study of 1,124 elementary-school through senior-high-school students and a cross-sectional study of 5,624 high-school students. Both constructs demonstrated good concurrent and predictive validity. A measure integrating the stages of smoking acquisition and susceptibility to smoking constructs was created by dividing the precontemplation group as a function of susceptibility. This new classification system yielded better concurrent and predictive validity than did either stage of smoking acquisition or susceptibility to smoking alone.
This report describes a longitudinal study of the natural course of smoking initiation in a schoo... more This report describes a longitudinal study of the natural course of smoking initiation in a school-based, ethnically diverse (42% White, 37% African American, 20% Hispanic) sample of adolescents in grades 5, 8, and 12 who were followed prospectively for 1 year. A cohort of 659 students was identified who were never smokers at baseline and who completed questionnaires both at baseline and at 1-year follow-up. From this cohort, predictor variables were used to identify ethnic-specific risk factors for (a) "susceptibility to smoking" among the 509 students who were nonsusceptible, never smokers at baseline and (b) "ever smoking" among all 659 students who were never smokers at baseline (both susceptible and nonsusceptible). Logistic regression analyses revealed that parental and household influences (parental education, marital status, household smoking) were important predictors of ever smoking, but not of susceptibility to smoking, for African Americans. Hispanic adolescents were significantly influenced by environmental influences, namely smoking by other household members (ever smoking) and by peers (susceptibility and ever smoking), although peer pro-tobacco influences (friends who smoke or friends' approval of smoking) were important predictors of susceptibility to smoking or ever smoking for all three ethnic groups. Exposure to tobacco-related advertising was a risk factor for White (susceptibility and ever smoking) and African American (susceptibility only) adolescents but not for Hispanic adolescents. Inclusion of the susceptibility to smoking variable in the model predicting ever smoking substantially reduced the importance of other predictors in the model, suggesting that susceptibility to smoking was not an independent risk factor for ever smoking but rather a potential mediating variable. The results of this study offer important insights for designing ethnic-specific strategies for preventing smoking during adolescence.
Secondhand smoke (SHS) is caused by burning tobacco products that emit up to 7000 chemicals and o... more Secondhand smoke (SHS) is caused by burning tobacco products that emit up to 7000 chemicals and over 70 carcinogenic compounds. Thirdhand smoke (THS) is solid residue remaining on furniture and carpets, including suspended particles derived from a burned tobacco product. Exposure to these compounds occurs through inhalation, oral ingestion, or dermal uptake. Examples of the tobacco smoke pollutants can include nicotine, benzene, naphthalene, formaldehyde, and nitrosamines related to tobacco. Exposure to SHS and THS are preventable. Infants and young children suffer disproportionately from tobacco-related pediatric disease since they spend much of their time indoors in households and cars. Despite growing awareness of the need to protect children from exposures, a recent survey reported more than 50% of children aged 3 to 11 were exposed to SHS. Although school-based health interventions have targeted healthful nutrition and physical activity among preschoolers and kindergarten, data...
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Papers by Alexander Prokhorov