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Dive into the research topics where Steve Manske is active.

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Featured researches published by Steve Manske.


Implementation Science | 2009

A randomized controlled trial evaluating the impact of knowledge translation and exchange strategies

Maureen Dobbins; Steven Hanna; Donna Ciliska; Steve Manske; Roy Cameron; Shawna L. Mercer; Linda O'Mara; Kara DeCorby; Paula Robeson

ContextSignificant resources and time are invested in the production of research knowledge. The primary objective of this randomized controlled trial was to evaluate the effectiveness of three knowledge translation and exchange strategies in the incorporation of research evidence into public health policies and programs.MethodsThis trial was conducted with a national sample of public health departments in Canada from 2004 to 2006. The three interventions, implemented over one year in 2005, included access to an online registry of research evidence; tailored messaging; and a knowledge broker. The primary outcome assessed the extent to which research evidence was used in a recent program decision, and the secondary outcome measured the change in the sum of evidence-informed healthy body weight promotion policies or programs being delivered at health departments. Mixed-effects models were used to test the hypotheses.FindingsOne hundred and eight of 141 (77%) health departments participated in this study. No significant effect of the intervention was observed for primary outcome (p < 0.45). However, for public health policies and programs (HPPs), a significant effect of the intervention was observed only for tailored, targeted messages (p < 0.01). The treatment effect was moderated by organizational research culture (e.g., value placed on research evidence in decision making).ConclusionThe results of this study suggest that under certain conditions tailored, targeted messages are more effective than knowledge brokering and access to an online registry of research evidence. Greater emphasis on the identification of organizational factors is needed in order to implement strategies that best meet the needs of individual organizations.Trial RegistrationThe trial registration number and title are as follows: ISRCTN35240937 -- Is a knowledge broker more effective than other strategies in promoting evidence-based physical activity and healthy body weight programming?


Canadian Journal of Public Health-revue Canadienne De Sante Publique | 2003

Smoking, Physical Activity and Breakfast Consumption Among Secondary School Students in a Southwestern Ontario Community

Bonnie Cohen; Susan Evers; Steve Manske; Kim Bercovitz; H. Gayle Edward

OBJECTIVES To determine the prevalence of smoking, low levels of physical activity, and missing breakfast among students (n=318) in grades 9 through 12 in three schools in southwestern Ontario; to see if these behaviours were associated; and, whether there were gender differences. METHODS A self-administered survey was conducted in grade 10 English classes. RESULTS The response rate was 87.1%. The prevalence of smoking was 36.2%; there was no gender difference. Only 42.8% of students ate breakfast daily; 48.8% of boys and 36.1% of girls (chi2 = 5.2; p<0.05). A higher proportion of boys (77.1%) were active for at least 30 minutes > or = 3 times/week compared to girls (66.0%) (chi2 = 4.8; p<0.05). Students who were active > or = 3 times/week were more likely to eat breakfast daily and, among boys, 60.4% of non-smokers ate breakfast daily compared to 31.9% of those currently smoking (chi2 = 13.3; p<0.001). There were no differences among girls. More girls (63.9%) were concerned about gaining weight compared to boys (36.1%) (chi2 = 37.7; p<0.001). Among girls, a higher proportion of those who were concerned about gaining weight were less likely to engage in physical activity or smoke, and more likely to skip breakfast compared to those who were not concerned. DISCUSSION Weight concern was not associated with frequency of physical activity, smoking, or breakfast consumption among boys. The high prevalence rates for these behaviours suggests that interventions in high schools should include daily physical activity, promotion of breakfast eating (either at home or in the school), and encouragement to quit smoking.


Cancer Epidemiology, Biomarkers & Prevention | 2005

The Relationship Between Student Smoking in the School Environment and Smoking Onset in Elementary School Students

Scott T. Leatherdale; Steve Manske

This study examined how perceptions of student smoking in the school environment and the actual smoking rate among senior students at a school are related to smoking onset. Multilevel logistic regression analysis was used to examine correlates of ever smoking in a sample of 4,286 grade 6 and 7 students from 57 elementary schools in Ontario, Canada. Students are at increased risk for smoking if they (a) often see students smoking near their school, (b) report that students at their school smoke where they are not allowed, and (c) attend a school with a relatively high senior student smoking rate. 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 (odds ratio, 1.05; 95% confidence interval, 1.02-1.08). A low-risk student (no family or friends who smoke) was over twice as likely to try smoking if he/she attended a high-risk school. Prevention programs should target both at-risk schools and at-risk students, and strongly enforced policies preventing students from smoking on or near school property should be implemented.


BMC Public Health | 2014

The COMPASS study: a longitudinal hierarchical research platform for evaluating natural experiments related to changes in school-level programs, policies and built environment resources

Scott T. Leatherdale; K. Stephen Brown; Valerie Carson; Ruth A. Childs; Susan J. Elliott; Guy Faulkner; David Hammond; Steve Manske; Catherine M. Sabiston; Rachel Laxer; Chad Bredin; Audra Thompson-Haile

BackgroundFew researchers have the data required to adequately understand how the school environment impacts youth health behaviour development over time.Methods/DesignCOMPASS is a prospective cohort study designed to annually collect hierarchical longitudinal data from a sample of 90 secondary schools and the 50,000+ grade 9 to 12 students attending those schools. COMPASS uses a rigorous quasi-experimental design to evaluate how changes in school programs, policies, and/or built environment (BE) characteristics are related to changes in multiple youth health behaviours and outcomes over time. These data will allow for the quasi-experimental evaluation of natural experiments that will occur within schools over the course of COMPASS, providing a means for generating “practice based evidence” in school-based prevention programming.DiscussionCOMPASS is the first study with the infrastructure to robustly evaluate the impact that changes in multiple school-level programs, policies, and BE characteristics within or surrounding a school might have on multiple youth health behaviours or outcomes over time. COMPASS will provide valuable new insight for planning, tailoring and targeting of school-based prevention initiatives where they are most likely to have impact.


Health Promotion Practice | 2009

Integrating Research, Policy, and Practice in School-Based Physical Activity Prevention Programming: The School Health Action, Planning, and Evaluation System (SHAPES) Physical Activity Module

Scott T. Leatherdale; Steve Manske; Suzy L. Wong; Roy Cameron

The School Health Action, Planning, and Evaluation System (SHAPES) is a data collection and feedback system designed to support population-based intervention planning, evaluation, and field research related to youth. The Physical Activity Module of SHAPES consists of: (a) a machine readable questionnaire to collect physical activity data from all students (grades 6 to 12) in a school, (b) a school administrator questionnaire to assess school policies, programs, and resources related to physical activity, and (c) a school-specific feedback report documenting student behavior and school programs and policies. This SHAPES module provides schools with feedback that enables them to take stock of patterns of activity and obesity within their school, recognize what is (and what is not) in place to support physical activity, and how to plan and evaluate their own prevention efforts. SHAPES enables researchers and stakeholders to identify what interventions work, in what contexts, with what students.


International Journal of Behavioral Nutrition and Physical Activity | 2010

A multi-level examination of school programs, policies and resources associated with physical activity among elementary school youth in the PLAY-ON study.

Scott T. Leatherdale; Steve Manske; Guy Faulkner; Kelly P. Arbour; Chad Bredin

BackgroundGiven the decline in physical activity (PA) levels among youth populations it is vital to understand the factors that are associated with PA in order to inform the development of new prevention programs. Many studies have examined individual characteristics associated with PA among youth yet few have studied the relationship between the school environment and PA despite knowing that there is variability in student PA levels across schools.MethodsUsing multi-level logistic regression analyses we explored the school- and student-level characteristics associated with PA using data from 2,379 grade 5 to 8 students attending 30 elementary schools in Ontario, Canada as part of the PLAY-Ontario study.ResultsFindings indicate that there was significant between-school random variation for being moderately and highly active; school-level differences accounted for 4.8% of the variability in the odds of being moderately active and 7.3% of the variability in the odds of being highly active. Students were more likely to be moderately active if they attended a school that used PA as a reward and not as discipline, and students were more likely to be highly active if they attended a school with established community partnerships. Important student characteristics included screen time sedentary behaviour, participating in team sports, and having active friends.ConclusionFuture research should evaluate if the optimal population level impact for school-based PA promotion programming might be achieved most economically if intervention selectively targeted the schools that are putting students at the greatest risk for inactivity.


American Journal of Public Health | 2013

Young adult smoking cessation: predictors of quit attempts and abstinence.

Lori M. Diemert; Susan J. Bondy; K. Stephen Brown; Steve Manske

We examined young adult smoking cessation behaviors, coding cessation behavior as no attempt, quit attempt (< 30 days), or abstinence (≥ 30 days) during follow-up from July 2005 through December 2008, observed in 592 young adult smokers from the Ontario Tobacco Survey. One in 4 young adults made an attempt; 14% obtained 30-day abstinence. Cessation resources, prior attempts, and intention predicted quit attempts, whereas high self-efficacy, using resources, having support, and low addiction predicted abstinence, indicating that young adult smokers require effective and appropriate cessation resources.


American Journal of Health Promotion | 2004

Best Practice in Group-Based Smoking Cessation: Results of a Literature Review Applying Effectiveness, Plausibility, and Practicality Criteria:

Steve Manske; Susan Miller; Cheryl Moyer; Marie Rose Phaneuf; Roy Cameron

Objective. Apply a “best practices” model to evidence regarding group smoking cessation to inform organizational decisions about adopting such programs. The best-practices model attempts to integrate rigorous review of evidence with context and practical considerations important to organizations contemplating adoption. Data Sources. First, we identified effective practices by systematic literature review with two blinded reviewers to (1) search databases (99.8% agreement), (2) hand search journals with five or more papers selected in first step (99.9% agreement), (3) search reference lists of included papers (99.4% agreement), and (4) contact published experts. Second, model programs, theory, and expert opinion suggested plausible practices. Finally, a practitioner-researcher advisory group suggested practical considerations affecting adoption decisions. Study Selection. All 67 studies included in the review met six requirements: (1) peer reviewed, (2) primary studies, (3) using experimental or quasi-experimental design, (4) compared one or more smoking-cessation interventions that involved two or more group sessions, (5) studied persons 18+ years old, and (6) reported ≥ 6-month point prevalence or continuous abstinence outcomes. Data Extraction. Two independent raters assessed study quality (89.5% agreement). Effective practices consistently exhibited a statistically significant effect. Plausible practices showed consistency across three types of evidence. An advisory group based practicality criteria on critical review and experience. Data Synthesis. Two practices were rated effective: multicomponent behavioral intervention and nicotine replacement therapy. Five practices received plausible ratings: components of behavioral skills, information about smoking, self-monitoring, social support, and four or more sessions of 60 to 90 minutes. The Advisory Group identified 11 practicality questions to assist organizations to make adoption decisions regarding effective and plausible practices. Conclusions. No research evidence guides potential smoking-cessation program adopters regarding program participants, providers, settings, or quality assurance. Reviews to influence practice must consider science and practice (context) to facilitate adoption of best practices.


Nicotine & Tobacco Research | 2008

Susceptibility to Smoking and Its Association with Physical Activity, Bmi, and Weight Concerns Among Youth

Scott T. Leatherdale; Suzy L. Wong; Steve Manske; Graham A. Colditz

Research has yet to examine how physical activity, body mass index (BMI) and concerns about weight among youth populations are associated with susceptibility to smoking among never smokers. The Physical Activity Module of the School Health Action, Planning and Evaluation System (SHAPES) was completed by 25,060 students in grades 9 to 12 within 76 secondary schools in Ontario (Canada) to examine how being overweight, weight concerns, and physical activity are associated with susceptibility to smoking in a large sample of youth. Among the 14,795 students who were never smokers, 3,809 (25.8%) were classified as susceptible to future smoking and 10,986 (74.2%) were classified as non-susceptible to future smoking. Smoking susceptibility was negatively associated with being highly active or at risk of overweight and positively associated with perceptions of being slightly overweight or slightly underweight. Students who report 1 or more hours of screen or phone time per day were also more likely to be susceptible. This is the first study to identify that susceptibility to future smoking among never smokers is associated with physical activity, overweight and concerns about weight. This is valuable new insight for tailoring and targeting future school-based tobacco control and/or physical activity programming to youth populations.


Canadian Medical Association Journal | 2009

Use of contraband cigarettes among adolescent daily smokers in Canada

Russell C. Callaghan; Scott Veldhuizen; Scott T. Leatherdale; Donna Murnaghan; Steve Manske

Current tobacco-control strategies seek to inhibit and reduce smoking among adolescents. However, such strategies are probably undermined by the contraband tobacco market. Using data from Canada’s 2006/2007 Youth Smoking Survey, we found that 13.1% of respondents who were daily smokers reported that contraband cigarettes were their usual brand. They consumed significantly more cigarettes than respondents who smoked other brands. Contraband cigarettes accounted for about 17.5% of all cigarettes smoked by adolescent daily smokers in Canada overall, and for more than 25% in the provinces of Ontario and Quebec.

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Erin Hobin

University of Waterloo

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Donna Murnaghan

Thompson Rivers University

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Chris Y. Lovato

University of British Columbia

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Roy Cameron

University of Waterloo

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