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K Stephen Brown

Publications and source records attributed to K Stephen Brown.

10 recordsLinked to original sources
PubMed2006

The influence of friends, family, and older peers on smoking among elementary school students: low-risk students in high-risk schools.

BACKGROUND: This study examined how older smoking peers at school and the smoking behaviour of friends and family members are related to youth smoking. METHODS: Multi-level logistic regression analysis was used to examine correlates of ever smoking in a sample of 4286 grade 6 and 7 students from 57 elementary schools in Ontario, Canada (2001). RESULTS: Each 1% increase in the smoking rate among grade 8 students increased the odds that a student in grades 6 or 7 was an ever smoker versus never smoker [OR 1.05, 95% CI 1.02 to 1.08]. A low-risk student (no family or friends who smoke) was almost three times more likely to try smoking if he/she attended an elementary school with a relatively high prevalence of senior students who smoke than if he/she attended a school with a low prevalence of senior students who smoke. CONCLUSION: Low-risk grade 6 and 7 students are at significantly greater risk of smoking if they attend an elementary school with a relatively high prevalence of smoking among senior students. Prevention programs should target both at-risk schools and at-risk students.

Adolescent↗
PubMed2006

A multi-level analysis examining how smoking friends, parents, and older students in the school environment are risk factors for susceptibility to smoking among non-smoking elementary school youth.

The purpose of this study was to examine how social models for smoking are related to smoking susceptibility among a sample of non-smoking elementary school students. The Tobacco Module of the School Health Action, Planning and Evaluation System (SHAPES) was administered to 6,431 students (grades 6 to 8) in 57 elementary schools in the province of Ontario, Canada. Multi-level logistic regression analysis was used to examine how smoking friends, parents, and the prevalence of smoking among grade 8 students at a school were related to smoking susceptibility among the 2,478 non-smoking grade 6 and 7 students. Findings indicate that non-smoking grade 6 and 7 students are more likely to be susceptible to smoking if they have (a) smoking friends, (b) a mother who smokes, or (c) two or more close friends who smoke and attend a school with a relatively high smoking rate among the grade 8 students. Sub-populations of non-smoking youth may be at increased risk for smoking because of the elementary school they attend. Future school-based smoking prevention programs might benefit from targeting prevention programming activities to the schools that are putting students at the greatest risk for smoking.

Adolescent↗
PubMed2005

Social modeling in the school environment, student characteristics, and smoking susceptibility: a multi-level analysis.

PURPOSE: To examine how social models in the school environment and individual student characteristics are related to smoking susceptibility. METHODS: Using data from the School Smoking Profile Project, multi-level logistic regression analysis was used to identify school and student characteristics related to smoking susceptibility among 6679 never smokers from 29 secondary schools in Ontario, Canada. RESULTS: If a nonsmoking student attended a school where there was student smoking on the school periphery, he or she was less likely to be susceptible to smoking (OR 0.71, 95% CI 0.57-0.89). A significant contextual interaction between the smoking on the school periphery and friends' disapproval of smoking was identified (beta = 0.68 [0.23], p < .01]; students with friends who disapprove of smoking were more likely to be susceptible to smoking if they attended a school with student smoking on the school periphery. CONCLUSION: Nonsmoking students who attend a school with student smoking on the school periphery are at an increased risk for being susceptible to smoking if they have friends who disapprove of smoking. Future school-based smoking prevention programs might benefit from targeting both individual students and entire schools with programming activities.

Adolescent↗
PubMed2005

Senior student smoking at school, student characteristics, and smoking onset among junior students: a multilevel analysis.

BACKGROUND: Current research on the etiology of tobacco use has largely focused on identifying the influential psychosocial characteristics of individual students; the influences of characteristics in the school environment are generally ignored. The purpose of this study was to simultaneously examine how school and individual student characteristics were related to smoking onset. METHOD: Multilevel logistic regression analysis was used to examine how the senior student smoking rate at a school and the psychosocial characteristics of students were able to differentiate tried-once smokers from experimental smokers in a sample of 4850 grade 9, 10, and 11 students from the School Smoking Profile (SSP) project. RESULTS: Each 1% increase in smoking rate among high school seniors increased the odds that a junior student was an experimental smoker vs. a tried-once smoker (OR 1.07, 95% CI 1.03-1.12). A significant contextual interaction was identified where the senior student smoking rate at a school moderates the negative influence of having close friends who smoke. Influential student characteristics were also identified. CONCLUSIONS: The smoking prevalence of older students at a school is directly related to smoking onset among younger students at that school. Prevention programs should target schools that put students at-risk.

Adolescent↗
PubMed2004

Graphic Canadian cigarette warning labels and adverse outcomes: evidence from Canadian smokers.

OBJECTIVES: We assessed the impact of graphic Canadian cigarette warning labels. METHODS: We used a longitudinal telephone survey of 616 adult smokers. RESULTS: Approximately one fifth of participants reported smoking less as a result of the labels; only 1% reported smoking more. Although participants reported negative emotional responses to the warnings including fear (44%) and disgust (58%), smokers who reported greater negative emotion were more likely to have quit, attempted to quit, or reduced their smoking 3 months later. Participants who attempted to avoid the warnings (30%) were no less likely to think about the warnings or engage in cessation behavior at follow-up. CONCLUSIONS: Policymakers should not be reluctant to introduce vivid or graphic warnings for fear of adverse outcomes.

Adult↗
PubMed2003

Does low reading achievement at school entry cause conduct problems?

Conduct problems place children at increased risk for a broad array of negative health and social outcomes that include conduct disorder, injuries and violence, school failure, substance abuse, depression, and suicide. Prevention interventions have the potential to interrupt the chain of events linking early conduct problem symptoms to future negative life outcomes, but have received much less emphasis than interventions designed to treat established cases of disorder. Reading problems are a well-established correlate of conduct disorder. However, whether or not reading problems cause conduct disorder continues to be debated. If they are in fact a causal risk factor this would justify the design and evaluation of interventions designed to enhance reading skills and/or remediate problems. In this paper we use logistic regression techniques to evaluate the relation between reading achievement at school entry and conduct problems 30 months later, in a representative, non-clinic sample of kindergarten and grade one children, in Ontario, Canada. The findings show that an eight point increase in reading scores (equivalent to an moderate effect size of 0.5) would result in a 23 per cent decrease in the risk of conduct problems 30 months later, after controlling for gender, income and baseline conduct problem symptoms. We conclude that reading problems may contribute to the early onset of conduct disorder. Randomized experimental studies designed to evaluate the effects of reading programmes in non-clinic samples of children are needed to: (i) establish whether the link between reading problems at school entry and conduct disorder is causal; and (ii) determine whether reading intervention programmes are an effective conduct disorder prevention strategy.

Achievement↗
PubMed2002

Outcome evaluation of a high school smoking reduction intervention based on extracurricular activities.

BACKGROUND: An outcome evaluation of a high school tobacco control intervention using extracurricular activities developed by teachers and students is reported. METHODS: Eligible subjects (n = 3,028) had participated in a randomized trial of an elementary school smoking prevention curriculum. Their high schools were matched in pairs; one school in each pair was randomly assigned to the intervention condition, the second to a "usual-care" control condition. Data were collected at the end of Grades 9 and 10. RESULTS: For Grade 8 never smokers, regular smoking rates were significantly lower for males from intervention schools (9.8 vs 16.2%, P = 0.02) at the end of Grade 10. There were no significant differences among Grade 10 smoking rates for females, or for students of either gender with previous smoking experience in Grade 8. CONCLUSIONS: The extracurricular activities approach to tobacco control is practical to implement and has promise.

Adolescent↗
PubMedDate not supplied

A multilevel analysis examining the relationship between social influences for smoking and smoking onset.

OBJECTIVES: To examine how older smoking peers at school and the smoking behavior of friends and family members are related to youth smoking. METHODS: The School Smoking Profile was used to collect data on tobacco use and determinants of tobacco use from 22,091 students from 29 secondary schools in Ontario, Canada. Correlates of occasional and regular smoking were examined using multilevel logistic regression analyses. RESULTS: Students are at increased risk for smoking if they (a) have smoking friends, (b) have smoking family members, and (c) attend a school with a relatively high senior-student smoking rate. CONCLUSION: These findings suggest that prevention programs should target both at-risk schools and at-risk students.

Adolescent↗
PubMedDate not supplied

The impact of cigarette warning labels and smoke-free bylaws on smoking cessation: evidence from former smokers.

BACKGROUND: To effectively address the health burden of tobacco use, tobacco control programs must find ways of motivating smokers to quit. The present study examined the extent to which former smokers' motivation to quit was influenced by two tobacco control policies recently introduced in the Waterloo Region: a local smoke-free bylaw and graphic cigarette warning labels. METHODS: A random digit-dial telephone survey was conducted with 191 former smokers in southwestern Ontario, Canada in October 2001. Former smokers who had quit in the previous three years rated the factors that influenced their decision to quit and helped them to remain abstinent. RESULTS: Thirty-six percent of former smokers cited smoke-free policies as a motivation to quit smoking. Former smokers who quit following the introduction of a total smoke-free bylaw were 3.06 (CI95 = 1.02-9.19) times more likely to cite smoking bylaws as a motivation to quit, compared to former smokers who quit prior to the bylaw. A total of 31% participants also reported that cigarette warning labels had motivated them to quit. Former smokers who quit following the introduction of the new graphic warning labels were 2.78 (CI9 = 1.20-5.94) times more likely to cite the warnings as a quitting influence than former smokers who quit prior to their introduction. Finally, 38% of all former smokers surveyed reported that smoke-free policies helped them remain abstinent and 27% reported that warning labels helped them do so. CONCLUSION: More stringent smoke-free and labelling policies were associated with a greater impact upon motivations to quit.

Adult↗