Effect of a Mobile Phone Intervention on Quitting Smoking in a Young Adult Population of Smokers: Randomized Controlled Trial.

BACKGROUND: Digital mobile technology presents a promising medium for reaching young adults with smoking cessation interventions because they are the heaviest users of this technology. OBJECTIVE: The aim of this study was to determine the efficacy of an evidence-informed smartphone app for smoking cessation, Crush the Crave (CTC), on reducing smoking prevalence among young adult smokers in comparison with an evidence-informed self-help guide, On the Road to Quitting (OnRQ). METHODS: A parallel, double-blind, randomized controlled trial with 2 arms was conducted in Canada to evaluate CTC. In total, 1599 young adult smokers (aged 19 to 29 years) intending to quit smoking in the next 30 days were recruited online and randomized to receive CTC or the control condition OnRQ for a period of 6 months. The primary outcome measure was self-reported continuous abstinence at the 6-month follow-up. RESULTS: Overall follow-up rates were 57.41% (918/1599) and 60.48% (967/1599) at 3 and 6 months, respectively. Moreover, 45.34% (725/1599) of participants completed baseline, 3-, and 6-month follow-up. Intention-to-treat analysis (last observation carried forward) showed that continuous abstinence (N=1599) at 6 months was not significantly different at 7.8% (64/820) for CTC versus 9.2% (72/779) for OnRQ (odds ratio; OR 0.83, 95% CI 0.59-1.18). Similarly, 30-day point prevalence abstinence at 6 months was not significantly different at 14.4% (118/820) and 16.9% (132/779) for CTC and OnRQ, respectively (OR 0.82, 95% CI 0.63-1.08). However, these rates of abstinence were favorable compared with unassisted 30-day quit rates of 11.5% among young adults. Secondary measures of quit attempts and the number of cigarettes smoked per day at 6-month follow-up did not reveal any significant differences between groups. For those who completed the 6-month follow-up, 85.1% (359/422) of young adult smokers downloaded CTC as compared with 81.8% (346/423) of OnRQ, χ21(N=845)=1.6, P=.23. Furthermore, OnRQ participants reported significantly higher levels of overall satisfaction (mean 3.3 [SD 1.1] vs mean 2.6 [SD 1.3]; t644=6.87, P<.001), perceived helpfulness (mean 5.8 [SD 2.4] vs mean 4.3 [SD 2.6], t657=8.0, P<.001), and frequency of use (mean 3.6 [SD 1.2] vs mean 3.2 [SD 1.1], t683=5.7, P<.001) compared with CTC participants. CONCLUSIONS: CTC was feasible for delivering cessation support but was not superior to a self-help guide in helping motivated young adults to quit smoking. CTC will benefit from further formative research to address satisfaction and usage. As smartphone apps may not serve as useful alternatives to printed self-help guides, there is a need to conduct further research to understand how digital mobile technology smoking cessation interventions for smoking cessation can be improved. TRIAL REGISTRATION: ClinicalTrials.gov NCT01983150; http://clinicaltrials.gov/ct2/show/NCT01983150 (Archived by WebCite at http://www.webcitation.org/6VGyc0W0i).

Prevalence of inadequate micronutrient intakes of Canadian long-term care residents.

This study determines the prevalence of inadequate micronutrient intakes consumed by long-term care (LTC) residents. This cross-sectional study was completed in thirty-two LTC homes in four Canadian provinces. Weighed and estimated food and beverage intake were collected over 3 non-consecutive days from 632 randomly selected residents. Nutrient intakes were adjusted for intra-individual variation and compared with the Dietary Reference Intakes. Proportion of participants, stratified by sex and use of modified (MTF) or regular texture foods, with intakes below the Estimated Average Requirement (EAR) or Adequate Intake (AI), were identified. Numbers of participants that met these adequacy values with use of micronutrient supplements was determined. Mean age of males (n 197) was 85·2 (sd 7·6) years and females (n 435) was 87·4 (sd 7·8) years. In all, 33 % consumed MTF; 78·2 % (males) and 76·1 % (females) took at least one micronutrient pill. Participants on a MTF had lower intake for some nutrients (males=4; females=8), but also consumed a few nutrients in larger amounts than regular texture consumers (males=4; females =1). More than 50 % of participants in both sexes and texture groups consumed inadequate amounts of folate, vitamins B6, Ca, Mg and Zn (males only), with >90 % consuming amounts below the EAR/AI for vitamin D, E, K, Mg (males only) and K. Vitamin D supplements resolved inadequate intakes for 50-70 % of participants. High proportions of LTC residents have intakes for nine of twenty nutrients examined below the EAR or AI. Strategies to improve intake specific to these nutrients are needed.

Prevalence and Determinants of Poor Food Intake of Residents Living in Long-Term Care.

OBJECTIVE: Poor food intake is known to lead to malnutrition in long-term care homes (LTCH), yet multilevel determinants of food intake are not fully understood, hampering development of interventions that can maintain the nutritional status of residents. This study measures energy and protein intake of LTCH residents, describes prevalence of diverse covariates, and the association of covariates with food intake. DESIGN: Multisite cross-sectional study. SETTING: Thirty-two nursing homes from 4 provinces in Canada. PARTICIPANTS: From a sample of 639 residents (20 randomly selected per home), 628 with complete data were included in analyses. MEASUREMENTS: Three days of weighed food intake (main plate, estimated beverages and side dishes, snacks) were completed to measure energy and protein intake. Health records were reviewed for diagnoses, medications, and diet prescription. Mini-Nutritional Assessment-SF was used to determine nutritional risk. Oral health and dysphagia risk were assessed with standardized protocols. The Edinburgh-Feeding Questionnaire (Ed-FED) was used to identify eating challenges; mealtime interactions with staff were assessed with the Mealtime Relational Care Checklist. Mealtime observations recorded duration of meals and assistance received. Dining environments were assessed for physical features using the Dining Environment Audit Protocol, and the Mealtime Scan was used to record mealtime experience and ambiance. Staff completed the Person Directed Care questionnaire, and managers completed a survey describing features of the home and food services. Hierarchical multivariate regression determined predictors of energy and protein intake adjusted for other covariates. RESULTS: Average age of participants was 86.3 ± 7.8 years and 69% were female. Median energy intake was 1571.9 ± 411.93 kcal and protein 58.4 ± 18.02 g/d. There was a significant interaction between being prescribed a pureed/liquidized diet and eating challenges for energy intake. Age, number of eating challenges, pureed/liquidized diet, and sometimes requiring eating assistance were negatively associated with energy and protein intake. Being male, a higher Mini-Nutritional Assessment-Short Form score, often requiring eating assistance, and being on a dementia care unit were positively associated with energy and protein intake. Energy intake alone was negatively associated with homelikeness scores but positively associated with person-centered care practices, whereas protein intake was positively associated with more dietitian time. CONCLUSION: This is the first study to consider resident, unit, staff, and home variables that are associated with food intake. Findings indicate that interventions focused on pureed food, restorative dining, eating assistance, and person-centered care practices may support improved food intake and should be the target for further research.

Levels and trends in cigarette contraband in Canada.

BACKGROUND: There is overwhelming evidence that increases in tobacco taxes reduce tobacco use, save lives and increase government tax revenue. High taxes, however, create an incentive to devise ways to avoid or evade tobacco taxes through contraband tobacco. The associated consequences are significant and call for an accurate measurement of contraband's magnitude. However, its illegal nature makes the levels and trends in contraband intrinsically difficult to measure accurately. OBJECTIVE: To examine levels and trends in cigarette contraband in Canada. METHODS: We employed 2 approaches: first, we contrasted estimates of tax-paid cigarettes sales with consumption estimates based on survey data; second, we used data from several individual-level surveys that examined smokers' purchasing and use behaviours. We placed a particular emphasis on the provinces of Québec and Ontario because existing research suggests that cigarette contraband levels are far higher than in any other province. RESULTS: The estimates presented show a clear upward trend from the early 2000s in cigarette contraband in Québec and Ontario followed by, on the whole, a decreasing trend from about 2007 to 2009. None of the data presented provide support to the narrative that cigarette contraband has been increasing in recent years. Of note are Québec estimates which suggest relatively low levels of cigarette contraband since 2010, at levels no higher than in the early 2000s. CONCLUSIONS: The data presented suggest that policies to tackle cigarette contraband introduced from the mid-2000s to late 2000s, at both federal and provincial levels, may have dampened the demand for contraband cigarettes.

Health professional advice, use of medications and smoking cessation: A population-based prospective cohort study.

INTRODUCTION: The mediating role of cessation medications in the association between health professional advice and quitting behaviors is unclear. METHODS: Data were from the Ontario Tobacco Survey longitudinal study, collected between July 2005 and June 2011 in Ontario, Canada. The analytic sample included 3437 baseline smokers who were seen by health professionals during follow-up. Logistic regression with generalized estimating equations and mediation analysis techniques were used to examine the impact of advice and medications on quitting outcomes (making a quit attempt, short-term quitting 1-6months and long-term quitting>6months). RESULTS: Those who received advice to quit smoking were more likely to use cessation medications than those who did not receive advice (21% vs. 13%, P<0.001). Receiving advice was associated with making a quit attempt (adjusted odds ratio (OR) 1.25, 95% confidence interval (CI) 1.10-1.41) and long-term quitting (adjusted OR 1.49, 95% CI 1.10-2.02), but not with short-term quitting. Use of cessation medications was associated with making a quit attempt (adjusted OR 11.83, 95% CI 9.93-14.08), short-term quitting (adjusted OR 3.69, 95% CI 2.90-4.68), and long-term quitting (adjusted OR 2.73, 95% CI 1.95-3.82). Using prescription medications was associated with a higher likelihood of quitting short-term (adjusted OR 2.43, 95% CI 2.59-3.74) and long-term (adjusted OR 2.27, 95% CI 1.23-4.17) than using NRT. Use of cessation medications was a significant mediator in the pathway from receiving advice to quitting. CONCLUSION: Health professionals should advise smokers to quit and encourage them to use cessation medications, especially prescription medications when trying to quit.

Impact of Canadian tobacco packaging policy on use of a toll-free quit-smoking line: an interrupted time-series analysis.

BACKGROUND: A policy for new pictorial health warning labels on tobacco packaging was introduced by Health Canada in 2012. The labels included, for the first time, a prominently displayed toll-free number for a quit-smoking line. We used data from the Ontario provincial quitline to investigate the call volume and number of new callers receiving treatment in the months before and after the new policy was introduced. METHODS: We used an interrupted time-series analysis to examine trends in the overall call volume and number of new callers receiving treatment (≥ 1 telephone counselling session) through Ontario's quitline (Smokers' Helpline) between January 2010 and December 2013. We analyzed data using Box-Jenkins autoregressive integrated moving-average models; we adjusted the models for a major campaign promoting the quitline, a seasonality (January) effect and tobacco pricing. RESULTS: We found a relative increase of 160% in the average monthly call volume during the 7 months after the introduction of the new labels (870 calls per month at baseline and 1391 additional calls per month on average after the policy change; standard error [SE] 108.94, p < 0.001), and a sustained increase of 43% in subsequent months. We observed a relative increase of 174% in the number of new callers receiving treatment (153 new callers per month at baseline and 267 additional new callers per month after the policy change; SE 40.03, p < 0.001) and a sustained increase of 80% in subsequent months. The effect was significant even after controlling for a major promotion campaign and the January effect. INTERPRETATION: We found a significant increase in the monthly overall call volume and number of new callers receiving treatment per month after the introduction of the new tobacco health warning labels, with a sustained increase in overall calls and new callers beyond the first 7 months. Our findings add to the body of evidence on the benefit of including a toll-free quitline number on tobacco packaging.

Effect of a Digital Social Media Campaign on Young Adult Smoking Cessation.

INTRODUCTION: Social media (SM) may extend the reach and impact for smoking cessation among young adult smokers. To-date, little research targeting young adults has been done on the use of SM to promote quitting smoking. We assessed the effect of an innovative multicomponent web-based and SM approach known as Break-it-Off (BIO) on young adult smoking cessation. METHODS: The study employed a quasi-experimental design with baseline and 3-month follow-up data from 19 to 29-year old smokers exposed to BIO (n = 102 at follow-up) and a comparison group of Smokers' Helpline (SHL) users (n = 136 at follow-up). Logistic regression analysis assessed differences between groups on self-reported 7-day and 30-day point prevalence cessation rates, adjusting for ethnicity, education level, and cigarette use (daily or occasional) at baseline. RESULTS: The campaign reached 37 325 unique visitors with a total of 44 172 visits. BIO users had significantly higher 7-day and 30-day quit rates compared with users of SHL. At 3-month follow-up, BIO participants (32.4%) were more likely than SHL participants (14%) to have quit smoking for 30 days (odds ratio = 2.95, 95% CI = 1.56 to 5.57, P < .001) and BIO participants (91%) were more likely than SHL participants (79%) to have made a quit attempt (odds ratio = 2.69, 95% CI = 1.03 to 6.99, P = .04). CONCLUSION: The reach of the campaign and findings on quitting success indicate that a digital/SM platform can complement the traditional SHL cessation service for young adult smokers seeking help to quit.

Impact of Canadian tobacco packaging policy on quitline reach and reach equity.

OBJECTIVE: To examine the impact of the new Canadian tobacco package warning labels with a quitline toll-free phone number for seven provincial quitlines, focusing on treatment reach and reach equity in selected vulnerable groups. METHODS: A quasi-experimental design assessed changes in new incoming caller characteristics, treatment reach for selected vulnerable sub-populations and the extent to which this reach is equitable, before and after the introduction of the labels in June, 2012. Administrative call data on smokers were collected at intake. Pre- and post-label treatment reach and reach equity differences were analysed by comparing the natural logarithms of the reach and reach equity statistics. RESULTS: During the six months following the introduction of the new warning labels, 86.4% of incoming new callers indicated seeing the quitline number on the labels. Treatment reach for the six-month period significantly improved compared to the same six-month period the year before from .042% to .114% (p<.0001) and reach equity significantly improved for young males (p<.0001) and those with high school education or less (p=.004). CONCLUSIONS: The introduction of the new tobacco warning labels with a quitline toll-free number in Canada was associated with an increase in treatment reach. The toll-free number on tobacco warning labels aided in reducing tobacco related inequalities, such as improved reach equity for young males and those with high school or less education.

Spatial and temporal patterns of smoking prevalence in Ontario.

BACKGROUND: Smoking prevalence varies over time and place due to various social, environmental and policy influences. However, its spatio-temporal patterns at small-area level are poorly understood. This paper attempts to describe spatio-temporal patterns of adult (age > 18) and youth (age 12-18) smoking prevalence at the municipality level in Ontario, Canada and identify potential socio-demographic, environmental, and policy factors that may affect the patterns. METHODS: Multilevel temporal and spatio-temporal models were fitted to the Canadian Community Health Surveys (2000-2008) data. In total, approximately 160,000 respondents 12 years of age and over living in Ontario were used for this analysis. RESULTS: The results indicate that during the time period 2003-2008, age-sex stratified smoking prevalence dropped for both the adult and youth populations in Ontario. The tendency is more obvious for youth than for adults. Smoking restriction at home is a leading factor associated with the decline of adult smoking prevalence, but does not play the same role for youth smoking. Despite the overall reduction, smoking prevalence varies considerably across the province and inequalities among municipalities have increased. Clusters of high and low smoking prevalence are both found within the study region. CONCLUSION: The identified spatial and temporal variations help to indicate problems at the local level and suggest future research directions. Identifying these variations helps to strengthen surveillance and monitoring of smoking behaviours and the evaluation of policy and program development at the small-area level.

Effect of a mobile phone intervention on quitting smoking in a young adult population of smokers: randomized controlled trial study protocol.

BACKGROUND: Tobacco use remains the number one cause of preventable chronic disease and death in developed countries worldwide. In North America, smoking rates are highest among young adults. Despite that the majority of young adult smokers indicate wanting to quit, smoking rates among this age demographic have yet to decline. Helping young adults quit smoking continues to be a public health priority. Digital mobile technology presents a promising medium for reaching this population with smoking cessation interventions, especially because young adults are the heaviest users of this technology. OBJECTIVE: The primary aim of this trial is to determine the effectiveness of an evidence-informed mobile phone app for smoking cessation, Crush the Crave, on reducing smoking prevalence among young adult smokers. METHODS: A parallel randomized controlled trial (RCT) with two arms will be conducted in Canada to evaluate Crush the Crave. In total, 1354 young adult smokers (19 to 29 years old) will be randomized to receive the evidence-informed mobile phone app, Crush the Crave, or an evidence-based self-help guide known as "On the Road to Quitting" (control) for a period of 6 months. The primary outcome measure is a 30-day point prevalence of abstinence at the 6-month follow-up. Secondary outcomes include a 7-day point prevalence of abstinence, number of quit attempts, reduction in consumption of cigarettes, self-efficacy, satisfaction, app utilization metrics, and use of smoking cessation services. A cost-effectiveness analysis is included. RESULTS: This trial is currently open for recruitment. The anticipated completion date for the study is April 2016. CONCLUSIONS: This randomized controlled trial will provide the evidence to move forward on decision making regarding the inclusion of technology-based mobile phone interventions as part of existing smoking cessation efforts made by health care providers. Evidence from the trial will also inform the development of future apps, provide a deeper understanding of the factors that drive change in smoking behavior using an app, and improve the design of cessation apps. This trial is among the first to assess the effect of a comprehensive and evidence-informed mHealth smoking cessation app on a large sample of young adult smokers. Strengths of the trial include the high-quality research design and in-depth assessment of the implementation of the intervention. If effective, the trial has the potential to demonstrate that including mHealth technology as a population-based intervention strategy can cost-effectively reach a greater proportion of the population and help young adult smokers to quit. TRIAL REGISTRATION: ClinicalTrials.gov NCT01983150; http://clinicaltrials.gov/ct2/show/NCT01983150 (Archived by WebCite at http://www.webcitation.org/6VGyc0W0i).

We do not smoke but some of us are more susceptible than others: a multilevel analysis of a sample of Canadian youth in grades 9 to 12.

BACKGROUND: Smoking susceptibility has been found to be a strong predictor of experimental smoking. This paper examined which student- and school-level factors differentiated susceptible never smokers from non-susceptible never smokers among a nationally representative sample of Canadian students in grades 9 to 12. METHODS: Student-level data from the 2008-2009 Canadian Youth Smoking Survey were linked with school-level data from the 2006 Census, and one built environment characteristic (the density of tobacco retailers surrounding schools). These data were examined using multilevel logistic regression analyses. RESULTS: The likelihood of a never smoker being susceptible to smoking significantly varied across schools (p=0.0002). Students in this study were more likely to be susceptible never smokers if they reported low self-esteem, held positive attitudes towards smoking, used alcohol or marijuana, had close friends who smoked, and came from homes without a total ban on smoking. The school location (rural versus urban), the socioeconomic status of the neighbourhood surrounding a school, and the density of tobacco retailers that were located within 1-km radius of each school were not associated with students' smoking susceptibility. CONCLUSION: These findings underscore the continued need to develop school-based tobacco use prevention policies and/or programs that enhance students' self-esteem, address tobacco use misinformation and substance use, and include strategies targeting friends who smoke, and students who come from homes without a total ban on smoking.

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

BACKGROUND: Few researchers have the data required to adequately understand how the school environment impacts youth health behaviour development over time. METHODS/DESIGN: COMPASS 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. DISCUSSION: COMPASS 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.

The reach ratio--a new indicator for comparing quitline reach into smoking subgroups.

INTRODUCTION: There is growing concern about population disparities in tobacco-related morbidity and mortality. This paper introduces the reach ratio as a complementary measure to reach for monitoring whether quitline interventions are reaching high risk groups of smokers proportionate to their prevalence in the population. METHODS: Data on smokers were collected at intake by 7 Canadian provincial quitlines from 2007 to 2009 and grouped to identify 4 high risk subgroups: males, young adults, heavy smokers, and those with low education. Provincial data are from the Canadian Tobacco Use Monitoring Survey. Reach ratios (ReRas), defined as the proportion of quitline callers from a subgroup divided by the proportion of the smoking population in the subgroup, and 95% confidence intervals were calculated for the subgroups. A ReRa of 1.0 indicates proportionate representation. RESULTS: ReRas for male smokers and young adults are consistently less than 1.0 across all provinces, indicating that a lower proportion of these high-risk smokers were receiving evidence-based smoking cessation treatment from quitlines. Those with high levels of tobacco addiction and less than high school education have ReRas greater than 1.0, indicating that a greater proportion of these smokers were receiving cessation treatments. CONCLUSION: ReRas complement other measures of reach and provide a standardized estimate of the extent to which subgroups of interest are benefiting from available cessation interventions. This information can help quitline operators, funders, and policymakers determine the need for promotional strategies targeted to high risk subgroups, and allocate resources to meet program and policy objectives.

Using student and school factors to differentiate adolescent current smokers from experimental smokers in Canada: a multilevel analysis.

OBJECTIVE: In order to understand the factors that differentiate adolescents who have tried smoking from those who have become established smokers, this study examined which student- and school-level factors differentiated current smokers from experimental smokers among a nationally representative sample of Canadian secondary school students. METHOD: Student-level secondary data from the 2008-2009 Canadian Youth Smoking Survey was linked with school-level data from the 2006 Census and one built environment characteristic, and examined using multilevel logistic regression analyses. RESULTS: The current smoking rates varied (P<0.001) across schools. The number of tobacco retailers surrounding the schools was associated with current smoking when adjusting for student characteristics. Additionally, students were more likely to be current smokers if they were: male, in higher grades, believed that smoking can help when they are bored, reported low school connectedness, used marijuana, had a sibling or close friend who smoked, and had no smoking bans at home. CONCLUSIONS: These study findings suggest that school anti-smoking strategies need to target males, increase students' attachment to their school, address tobacco-related beliefs, and include interventions targeting smoking siblings and friends. The government should consider zoning restrictions to limit sales of tobacco products near schools.

Effectiveness of telephone-based follow-up support delivered in combination with a multi-component smoking cessation intervention in family practice: a cluster-randomized trial.

OBJECTIVE: To determine whether telephone-based smoking cessation follow-up counseling (FC), when delivered as part of a multi-component intervention program is associated with increased rates of follow-up support and smoking abstinence. METHODS: A cluster randomized controlled-trial was conducted within family medicine practices in Ontario, Canada. Consecutive adult patients who smoked were enrolled at two time points, the baseline period (2009) and the post-intervention period (2009-2011). Smoking abstinence was determined by telephone interview 4 months following enrollment. Both groups implemented a multi-component intervention program. Practices randomized to the FC group could also refer patients to a follow-up support program which involved 5 telephone contacts over a 2-month period. RESULTS: Eight practices, 130 providers, and 928 eligible patients participated in the study. No statistically significant difference in 7-day point-prevalence abstinence was observed between intervention groups. There was a significant increase in referral to follow-up in both intervention groups. Significantly higher rates of smoking abstinence [25.7% vs. 11.3%; adjusted OR 3.1 (95% CI: 1.1, 8.6), p<0.05] were documented among the twenty-nine percent of FC participants who were referred to the follow-up support program compared to the MC group. CONCLUSION: Access to external follow-up support did not increase rates at which follow-up support was delivered.

Changes in tobacco use, susceptibility to future smoking, and quit attempts among Canadian youth over time: a comparison of off-reserve Aboriginal and non-Aboriginal youth.

The purpose of this study was to determine whether there is a growing inequity in tobacco use, susceptibility to future smoking, and quit attempts among Off-Reserve Aboriginal (ORA) youth in Canada relative to Non-Aboriginal youth. Current smoking, susceptibility to future smoking and quit attempts were examined among a nationally representative sample of ORA and Non-Aboriginal Canadian youth. Data are from cross-sectional surveys of 88,661 respondents in Grades 6 to 9 across the 2004, 2006 and 2008 survey waves of the Youth Smoking Survey (YSS). At each wave, ORA youth were more likely to be current smokers (overall OR = 3.91, 95% CI 3.47 to 4.41), to be susceptible to future smoking (overall OR = 1.37, 95% CI 1.27 to 1.48), and less likely to have ever made a quit attempt compared to Non-Aboriginal youth (overall OR = 0.74, 95% CI 0.57 to 0.96). Although susceptibility to future smoking declined for Non-Aboriginal youth, the prevalence of susceptibility remained stable among ORA youth. The percentage of ORA youth reporting making a quit attempt increased, however, current smoking rates among ORA youth did not decline. These findings suggest that the disparity in susceptibility to future tobacco use among ORA and Non-Aboriginal youth has increased over time. Despite increased rates of quit attempts, current smoking rates remain significantly higher among ORA youth. Tobacco control programs for Aboriginal youth should be a public health priority.

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

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.

School and community predictors of smoking: a longitudinal study of Canadian high schools.

OBJECTIVES: We identified the most effective mix of school-based policies, programs, and regional environments associated with low school smoking rates in a cohort of Canadian high schools over time. METHODS: We collected a comprehensive set of student, school, and community data from a national cohort of 51 high schools in 2004 and 2007. Hierarchical linear modeling was used to predict school and community characteristics associated with school smoking prevalence. RESULTS: Between 2004 and 2007, smoking prevalence decreased from 13.3% to 10.7% in cohort schools. Predictors of lower school smoking prevalence included both school characteristics related to prevention programming and community characteristics, including higher cigarette prices, a greater proportion of immigrants, higher education levels, and lower median household income. CONCLUSIONS: Effective approaches to reduce adolescent smoking will require interventions that focus on multiple factors. In particular, prevention programming and high pricing for cigarettes sold near schools may contribute to lower school smoking rates, and these factors are amenable to change. A sustained focus on smoking prevention is needed to maintain low levels of adolescent smoking.

Transitions in smoking status over time in a population-based panel study of smokers.

INTRODUCTION: Few studies have examined the transitions of smokers in the general population through multiple periods of daily, occasional smoking, or abstinence over time. Transitions from daily to occasional smoking are particularly of interest as these may be steps toward cessation. METHODS: The Ontario Tobacco Survey panel study followed 4,355 baseline smokers, semiannually for up to 3 years. Probabilities of all possible changes in smoking status more than 6 months were estimated using 13,000 repeated measures observations generated from sets of 3 consecutive interviews (n = 9,932 daily smokers, 1,245 occasion smokers, and 1,823 abstinent for at least 30 days, at Time 1). RESULTS: For initial daily smokers, an estimated 83% remained daily smokers more than 2 follow-ups. The majority of those who had been abstinent for 30 days at 1 interview, were also former smokers at the following interview. In contrast, occasional smoking status was unstable and future smoking status was dependent upon smoking history and subjective dependence. Among daily smokers who became occasional smokers 6 months later, an estimated 20% became a former smoker, at the next interview, but 50% returned to daily smoking. Daily, turned occasional smokers who rebounded back to daily smoking were more likely to describe themselves as addicted at Time 1. Continuing occasional smokers were somewhat less likely to intend to quit, or have tried, despite considering themselves less addicted. CONCLUSIONS: Reducing to occasional smoking can be a stepping stone toward cessation but entails a greater risk of return to daily smoking, compared with complete abstinence.

Influence of discipline of provider and model of care on an arthritis educational intervention in primary care.

OBJECTIVE: To identify both provider and organizational characteristics that predicted outcomes following an educational intervention (9-hour workshop and followup reinforcement activities) developed to improve the management of arthritis in primary care. METHODS: Providers completed a survey at baseline and at 6 months postworkshop, including a case scenario for early rheumatoid arthritis. Providers were asked how they would manage the case and their responses were coded to calculate a best practice score, ranging from 0-7. Two-level hierarchical linear modeling was used to determine which of the measured provider and organizational factors predicted best practice scores at followup. RESULTS: A total of 275 multidisciplinary providers from 131 organizations completed both baseline and followup surveys. Best practice scores increased by 17% (P < 0.01); however, the mean score at 6-month followup remained relatively low (2.68). Significant predictors of best practice scores at followup were discipline of provider and model of primary care in which they worked (P < 0.05), adjusting for baseline practice scores and clustering of providers within organizations. Physicians, nurse practitioners, and rehabilitation therapists scored higher than nurses, students, and other health care providers (P < 0.01). Physician networks scored significantly lower than providers from multidisciplinary-oriented models of care (P = 0.02). CONCLUSION: These results have implications for the education of health professionals and the design of models of care to enhance arthritis care delivery.