The Equity and Effectiveness of Achieving Canada's Voluntary Sodium Reduction Guidance Targets: A Modelling Study Using the 2015 Canadian Community Health Survey-Nutrition.

Background: High sodium intake is a leading modifiable risk factor for cardiovascular diseases. This study estimated full compliance to Canada's voluntary sodium reduction guidance (SRG) targets on social inequities and population sodium intake. Methods: We conducted a modeling study using n = 19,645, 24 h dietary recalls (Canadians ≥ 2 years) from the 2015 Canadian Community Health Survey-Nutrition (2015 CCHS-N). Multivariable linear regressions were used to estimate mean sodium intake in measured (in the 2015 CCHS-N) and modelled (achieving SRG targets) scenarios across education, income and food security. The percentage of Canadians with sodium intakes above chronic disease risk reduction (CDRR) thresholds was estimated using the US National Cancer Institute (NCI) method. Results: In children aged 2-8, achieving SRG targets reduced mean sodium intake differences between food secure and insecure households from 271 mg/day (95%CI: 75,468) to 83 mg/day (95%CI: -45,212); a finding consistent across education and income. Mean sodium intake inequities between low and high education households were eliminated for females aged 9-18 (96 mg/day, 95%CI: -149,341) and adults aged 19 and older (males: 148 mg/day, 95%CI: -30,327; female: -45 mg/day, 95%CI: -141,51). Despite these declines (after achieving the SRG targets) the majority of Canadians' are above the CDRR thresholds. Conclusion: Achieving SRG targets would eliminate social inequities in sodium intake and reduce population sodium intake overall; however, additional interventions are required to reach recommended sodium levels.

Determinants of dentists' readiness to assess HPV risk and recommend immunization: A transtheoretical model of change-based cross-sectional study of Ontario dentists.

OBJECTIVES: To evaluate dentists' readiness to assess the history of human papilloma virus (HPV) infections and recommend immunization among their patients. MATERIALS AND METHODS: A link to a self-administered questionnaire was emailed to Ontario dentists. Dentists' readiness and its determinants were assessed based on Transtheoretical Model's 'stages' and 'processes' of change, respectively. Based on their current practices, dentists were either assigned to 'pre-action' or 'action+' stages. RESULTS: Of the 9,975 dentists contacted, 932 completed the survey; 51.9% participants were in action stage to assess the history of HPV infections and 20.5% to recommend immunization. Internationally-trained and those whose office's physical layout was not a concern to discuss patients' sexual history were more likely to assess the history. Dentists with higher knowledge about HPV vaccines, not concerned about the HPV vaccine safety, comfortable discussing sex-related topics with patients, or willing to exceed their scope of practice were more ready to recommend HPV immunization to their patients. CONCLUSION: Improving Ontario dentists' knowledge and communication skills and changing their self-perceived role regarding HPV infections and vaccination can increase their capacity to minimize the burden of HPV infections.

Identifying contexts and mechanisms in multiple behavior change interventions affecting smoking cessation success: a rapid realist review.

BACKGROUND: Smoking continues to be a leading cause of preventable chronic disease-related morbidity and mortality, excess healthcare expenditure, and lost work productivity. Tobacco users are disproportionately more likely to be engaging in other modifiable risk behaviours such as excess alcohol consumption, physical inactivity, and poor diet. While hundreds of interventions addressing the clustering of smoking and other modifiable risk behaviours have been conducted worldwide, there is insufficient information available about the context and mechanisms in these interventions that promote successful smoking cessation. The aim of this rapid realist review was to identify possible contexts and mechanisms used in multiple health behaviour change interventions (targeting tobacco and two or more additional risk behaviours) that are associated with improving smoking cessation outcome. METHODS: This realist review method incorporated the following steps: (1) clarifying the scope, (2) searching for relevant evidence, (3) relevance confirmation, data extraction, and quality assessment, (4) data analysis and synthesis. RESULTS: Of the 20,423 articles screened, 138 articles were included in this realist review. Following Michie et al.'s behavior change model (the COM-B model), capability, opportunity, and motivation were used to identify the mechanisms of behaviour change. Universally, increasing opportunities (i.e. factors that lie outside the individual that prompt the behaviour or make it possible) for participants to engage in healthy behaviours was associated with smoking cessation success. However, increasing participant's capability or motivation to make a behaviour change was only successful within certain contexts. CONCLUSION: In order to address multiple health behaviours and assist individuals in quitting smoking, public health promotion interventions need to shift away from 'individualistic epidemiology' and invest resources into modifying factors that are external from the individual (i.e. creating a supportive environment). TRIAL REGISTRATION: PROSPERO registration number: CRD42017064430.

Dentists' Capacity to Mitigate the Burden of Oral Cancers in Ontario, Canada.

BACKGROUND: In Canada, although the incidence of smoking-related oral cavity cancers has decreased, oropharyngeal cancers associated with human papilloma virus (HPV) are on the rise. During their routine interactions with patients, dentists have the opportunity to intervene. This study was conducted to assess dentists' capacity to prevent and detect oral cancers and to identify the barriers and facilitators that affect this capacity. METHODS: A 25-item, self-administered questionnaire was emailed to Ontario dentists through their regulatory body. It aimed to assess their perceptions about various aspects of oral cancer prevention and detection, including their knowledge, attitudes and practices. A binary logistic regression model was constructed for each modifiable risk factor (smoking, alcohol use, HPV) to identify the predictors of dentists' readiness to discuss with patients the connection between risk factors and oral cancers. RESULTS: Of the 9975 dentists contacted, 932 completed the survey. Most respondents (92.4%) believed that they are adequately trained to recognize the early signs and symptoms of oral cancer. However, only 35.4% of respondents said that they are adequately trained to obtain biopsy samples from suspected lesions. In addition, only a small proportion (< 40%) of the dentists believed that they are adequately trained to address relevant risk factors. Compared with dentists who said that they are adequately trained and currently assess a given risk factor, the odds of discussing the risk factor were consistently and significantly lower among those who said that they are inadequately trained (OR: smoking 0.11, alcohol 0.52, HPV 0.36) and among those who do not currently assess that risk factor (OR: smoking 0.12, alcohol 0.22, HPV 0.23). CONCLUSIONS: This study suggests that the capacity of Ontario dentists to detect and prevent oral cancers is limited by lack of training in using oral cancer screening tools and addressing risk factors. To mitigate this barrier, dentists' capacity could be enhanced by improving their training in detecting oral cancers and their readiness to assess and address the risk factors.

The integrated role of multiple healthy weight behaviours on overweight and obesity among adolescents: a cross-sectional study.

BACKGROUND: This study contributes to the limited number of studies that have explored the impact of not meeting the recommendations for moderate-to-vigorous physical activity, screen time, fruit and vegetable consumption and sleep on overweight and obesity among adolescents. METHODS: A cross-sectional study of data from the 2015 Ontario Student Drug Use and Health Survey (OSDUHS), a provincially representative survey of students in publically funded schools in Ontario, Canada, was conducted. This study included self-reported data from students aged 11-17 years (n = 9866). The main outcome variable was overweight or obesity, classified using WHO BMI cut-points. Four independent variables for healthy weight behaviours were examined: (1) moderate-to-vigorous physical activity (MVPA) (≥ 60 mins vs. < 60 mins everyday over the last seven days); (2) screen time (< 2 h daily vs. ≥ 2 h daily); (3) fruit and vegetable consumption (≥ 5 times/day vs. < 5 times/day); (4) sleep (adequate based on guidelines vs. inadequate). Covariates included sex, age, Subjective Social Status (SSS), parental education and ethnicity. Binomial and multinomial logistic regression models were fitted to determine whether not meeting the recommendations for healthy weight behaviours was associated with overweight or obesity status. RESULTS: Only 2% of students in Ontario met the recommendations for all four healthy weight behaviours and 33% of students did not meet any of the four recommendations. In both the binomial and multinomial models, not meeting the recommendations for MVPA was the only significant healthy weight behaviour associated with both overweight and obesity (AOR: 1.29, 95% CI: 1.03-1.62), and solely obesity (AOR: 1.45, 95% CI: 1.05-1.99). Males, students with lower SSS ratings, and students with parents with an education of 'High School' or less were also at significantly greater odds of being obese. CONCLUSION: Findings from this study show that inadequate levels of MVPA is a critical behavioural predictor of obesity status in adolescents between the ages of 11-17 years, after controlling for differences in screen time, fruit and vegetable consumption, sleep, and demographics. Findings from this study could have implications toward policies and programs targeted at reducing obesity, and increasing the physical activity rates of adolescents.

The effects of interventions targeting multiple health behaviors on smoking cessation outcomes: a rapid realist review protocol.

BACKGROUND: Health behaviors directly impact the health of individuals, and populations. Since individuals tend to engage in multiple unhealthy behaviors such as smoking, excessive alcohol use, physical inactivity, and eating an unhealthy diet simultaneously, many large community-based interventions have been implemented to reduce the burden of disease through the modification of multiple health behaviors. Smoking cessation can be particularly challenging as the odds of becoming dependent on nicotine increase with every unhealthy behavior a smoker exhibits. This paper presents a protocol for a rapid realist review which aims to identify factors associated with effectively changing tobacco use and target two or more additional unhealthy behaviors. METHODS: An electronic literature search will be conducted using the following bibliographic databases: MEDLINE, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL), The Cochrane Library, Social Science Abstracts, Social Work Abstracts, and Web of Science. Two reviewers will screen titles and abstracts for relevant research, and the selected full papers will be used to extract data and assess the quality of evidence. Throughout this process, the rapid realist approach proposed by Saul et al., 2013 will be used to refine our initial program theory and identify contextual factors and mechanisms that are associated with successful multiple health behavior change. DISCUSSION: This review will provide evidence-based research on the context and mechanisms that may drive the success or failure of interventions designed to support multiple health behavior change. This information will be used to guide curriculum and program development for a government funded project on improving smoking cessation by addressing multiple health behaviors in people in Canada. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017064430.

Exploring parent-reported barriers to supporting their child's health behaviors: a cross-sectional study.

BACKGROUND: Parents can influence the health behaviors of their children by engaging in supportive behaviors (e.g., playing outside with their child, limiting recreational screen time). How, and the extent to which parents engage in supportive behaviors may be influenced by perceived barriers. The purpose of this study is to explore whether the frequency, and types, of barriers to providing parental support are dependent on the type of child health behavior being supported (i.e., physical activity, recreational screen time reduction, healthy eating, and sleep). METHODS: Study participants were 1140 Ontario parents with at least one child under the age of 18 who completed a Computer Assisted Telephone Interview (CATI) survey about parental support behaviors. Open-ended responses about perceived barriers to parental support were coded, and aggregated to meta-categories adopted from the social-ecological model (i.e., individual child, individual parent, interpersonal, environmental). Freidman rank sum tests were used to assess differences across child behaviors. Wilcoxon rank sum tests with Bonferroni adjustments were used as a post hoc test for significant Freidman results. RESULTS: There were more barriers reported for supporting physical activity than for any other child behavior (ps < .01, As ≥ .53). Parents reported more parent level and environmental level barriers to supporting child physical activity versus other behaviors (ps < .001, As ≥ .55), child level barriers were more frequently reported for supporting healthy eating and sleep (ps < .001, As ≥ .57), and interpersonal barriers were more frequently reported for supporting recreational screen time reduction (ps < .001, As ≥ .52). Overall, parents reported more child and parent level barriers versus interpersonal and environmental barriers to supporting child health. CONCLUSIONS: Parents experience a variety of barriers to supporting their children's health behaviors. Differences in types of barriers across child health behaviors emerged; however, some frequently reported barriers (e.g., child preferences) were common across behaviors. Interventions promoting parental support should consider strategies that can accommodate parents' busy schedules, and relate to activities that children find enjoyable. Creating supportive environments that help facilitate support behaviors, while minimizing parent level barriers, may be of particular benefit. Future research should explore the impact of barriers on parental support behaviors, and effective strategies for overcoming common barriers.

The impact of different types of parental support behaviours on child physical activity, healthy eating, and screen time: a cross-sectional study.

BACKGROUND: In Canada, 31.5 % of children are overweight or obese, putting them at an increased risk of chronic co-morbidities and premature mortality. Physical activity, healthy eating, and screen time are important behavioural determinants of childhood overweight and obesity that are influenced by the family environment, and particularly parents' support behaviours. However, there is currently a limited understanding of which types of these support behaviours have the greatest positive impact on healthy child behaviours. This study aims to determine the relative contribution of different types of parental support behaviours for predicting the likelihood that children meet established guidelines for daily physical activity, daily fruit and vegetable consumption, and recreational screen time. METHODS: A Computer Assisted Telephone Interview survey was used to collect data from a random sample of parents or guardians with at least one child under the age of 18 in Ontario (n = 3,206). Three multivariable logistic regression models were built to predict whether or not parents reported their child was meeting guidelines. Independent variables included parent and child age and gender, multiple indicators of parental support behaviours, and socio-demographic characteristics. Parental support behaviours were categorized post-hoc as motivational, instrumental, regulatory, and conditional based on an adapted framework. RESULTS: Controlling for all other factors in the model, several parental support behaviours were found to be significant predictors of children meeting established health guidelines. For example, conditional support behaviours including taking the child to places where they can be active (OR: 2.06; 95 % CI: 1.32-3.21), and eating meals as a family away from the TV (95 % CI: 1.15-2.41) were significant positive predictors of children meeting physical activity and fruit and vegetable guidelines, respectively. CONCLUSIONS: Health promotion efforts aimed at improving particular parent support behaviours could be effective levers for mitigating the burden of excess body weight in childhood. As such, the influence of support behaviours should be fully considered in any comprehensive approach to prevention and reduction of childhood overweight and obesity.

Measuring Burden of Unhealthy Behaviours Using a Multivariable Predictive Approach: Life Expectancy Lost in Canada Attributable to Smoking, Alcohol, Physical Inactivity, and Diet.

BACKGROUND: Behaviours such as smoking, poor diet, physical inactivity, and unhealthy alcohol consumption are leading risk factors for death. We assessed the Canadian burden attributable to these behaviours by developing, validating, and applying a multivariable predictive model for risk of all-cause death. METHODS: A predictive algorithm for 5 y risk of death-the Mortality Population Risk Tool (MPoRT)-was developed and validated using the 2001 to 2008 Canadian Community Health Surveys. There were approximately 1 million person-years of follow-up and 9,900 deaths in the development and validation datasets. After validation, MPoRT was used to predict future mortality and estimate the burden of smoking, alcohol, physical inactivity, and poor diet in the presence of sociodemographic and other risk factors using the 2010 national survey (approximately 90,000 respondents). Canadian period life tables were generated using predicted risk of death from MPoRT. The burden of behavioural risk factors attributable to life expectancy was estimated using hazard ratios from the MPoRT risk model. FINDINGS: The MPoRT 5 y mortality risk algorithms were discriminating (C-statistic: males 0.874 [95% CI: 0.867-0.881]; females 0.875 [0.868-0.882]) and well calibrated in all 58 predefined subgroups. Discrimination was maintained or improved in the validation cohorts. For the 2010 Canadian population, unhealthy behaviour attributable life expectancy lost was 6.0 years for both men and women (for men 95% CI: 5.8 to 6.3 for women 5.8 to 6.2). The Canadian life expectancy associated with health behaviour recommendations was 17.9 years (95% CI: 17.7 to 18.1) greater for people with the most favourable risk profile compared to those with the least favourable risk profile (88.2 years versus 70.3 years). Smoking, by itself, was associated with 32% to 39% of the difference in life expectancy across social groups (by education achieved or neighbourhood deprivation). CONCLUSIONS: Multivariable predictive algorithms such as MPoRT can be used to assess health burdens for sociodemographic groups or for small changes in population exposure to risks, thereby addressing some limitations of more commonly used measurement approaches. Unhealthy behaviours have a substantial collective burden on the life expectancy of the Canadian population.

Looking Beyond Income and Education: Socioeconomic Status Gradients Among Future High-Cost Users of Health Care.

INTRODUCTION: Healthcare spending occurs disproportionately among a very small portion of the population. Research on these high-cost users (HCUs) of health care has been overwhelmingly cross-sectional in nature and limited to the few sociodemographic and clinical characteristics available in health administrative databases. This study is the first to bridge this knowledge gap by applying a population health lens to HCUs. We investigate associations between a broad range of SES characteristics and future HCUs. METHODS: A cohort of adults from two cycles of large, nationally representative health surveys conducted in 2003 and 2005 was linked to population-based health administrative databases from a universal healthcare plan for Ontario, Canada. Comprehensive person-centered estimates of annual healthcare spending were calculated for the subsequent 5 years following interview. Baseline HCUs (top 5%) were excluded and healthcare spending for non-HCUs was analyzed. Adjusted for predisposition and need factors, the odds of future HCU status (over 5 years) were estimated according to various individual, household, and neighborhood SES factors. Analyses were conducted in 2014. RESULTS: Low income (personal and household); less than post-secondary education; and living in high-dependency neighborhoods greatly increased the odds of future HCUs. After adjustment, future HCU status was most strongly associated with food insecurity, personal income, and non-homeownership. Living in highly deprived or low ethnic concentration neighborhoods also increased the odds of becoming an HCU. CONCLUSIONS: Findings suggest that addressing social determinants of health, such as food and housing security, may be important components of interventions aiming to improve health outcomes and reduce costs.

Improving the estimation of the burden of risk factors: an illustrative comparison of methods to measure smoking-attributable mortality.

BACKGROUND: Prevention efforts are informed by the numbers of deaths or cases of disease caused by specific risk factors, but these are challenging to estimate in a population. Fortunately, an increasing number of jurisdictions have increasingly rich individual-level, population-based data linking exposures and outcomes. These linkages enable multivariable approaches to risk assessment. We demonstrate how this approach can estimate the population burden of risk factors and illustrate its advantages over often-used population-attributable fraction methods. METHODS: We obtained risk factor information for 78,597 individuals from a series of population-based health surveys. Each respondent was linked to death registry (568,997 person-years of follow-up, 6,399 deaths).Two methods were used to obtain population-attributable fractions. First, the mortality rate difference between the entire population and the population of non-smokers was divided by the total mortality rate. Second, often-used attributable fraction formulas were used to combine summary measures of smoking prevalence with relative risks of death for select diseases. The respective fractions were then multiplied to summary measures of mortality to obtain smoking-attributable mortality. Alternatively, for our multivariable approach, we created algorithms for risk of death, predicted by health behaviors and various covariates (age, sex, socioeconomic position, etc.). The burden of smoking was determined by comparing the predicted mortality of the current population with that of a counterfactual population where smoking is eliminated. RESULTS: Our multivariable algorithms accurately predicted an individual's risk of death based on their health behaviors and other variables in the models. These algorithms estimated that 23.7% of all deaths can be attributed to smoking in Ontario. This is higher than the 20.0% estimated using population-attributable risk methods that considered only select diseases and lower than the 35.4% estimated from population-attributable risk methods that examine the excess burden of all deaths due to smoking. CONCLUSIONS: The multivariable algorithms presented have several advantages, including: controlling for confounders, accounting for complexities in the relationship between multiple exposures and covariates, using consistent definitions of exposure, and using specific measures of risk derived internally from the study population. We propose the wider use of multivariable risk assessment approach as an alternative to population-attributable fraction methods.

The burden of mental illness and addiction in ontario.

OBJECTIVE: Public Health Ontario and the Institute for Clinical Evaluative Sciences have collaborated to estimate the burden of illness attributable to mental disorder and addictions in Ontario. METHODS: Health-adjusted life years were used to estimate burden. It is conceptually similar to disability-adjusted life years that were used in the global burden of disease studies. Data sources for the mental illnesses and addictions used in our study included health administrative data for the province of Ontario, survey data from Statistics Canada and the Centre for Addiction and Mental Health, vital statistics data from the Ontario Office of the Registrar General, and US epidemiologic survey data. RESULTS: The 5 conditions with the highest burden are: major depression, bipolar affective disorder, alcohol use disorders (AUDs), social phobia, and schizophrenia. The burden of depression is double the next highest mental health condition (that is, bipolar affective disorder) and is more than the combined burden of the 4 most common cancers in Ontario. AUDs were the only disease group that had a substantial proportion of burden attributable to early death. The burden estimates for the other conditions were primarily due to disability. CONCLUSIONS: The burden of these conditions in Ontario is as large or larger than other conditions, such as cancer and infectious diseases, owing in large part to the high prevalence, chronicity, and age of onset for most mental disorders and addiction problems. The findings serve as an important baseline for future evaluation of interventions intended to address the burden of mental health and addictions.

Objectif : Le service de Santé publique de l'Ontario et l'Institut pour les sciences évaluatives cliniques ont collaboré pour estimer le fardeau de la maladie attribuable aux trouble mentaux et aux toxicomanies en Ontario. Méthodes : Les années de vie ajustées en fonction de la santé ont servi à estimer le fardeau. Le concept est semblable aux années de vie ajustées en fonction de l'incapacité qui ont servi aux études sur le fardeau mondial de la maladie. Les sources de données sur les maladies mentales et les toxicomanies utilisées étaient notamment des données administratives sur la santé de la province de l'Ontario, des données d'enquête de Statistique Canada et du Centre de toxicomanie et de santé mentale, des données de l'état civil du Bureau du registraire général de l'Ontario, et des données de l'enquête épidémiologique américaine. Résultats : Les 5 affections dont le fardeau est le plus élevé sont : la dépression majeure, le trouble bipolaire affectif, les troubles liés à l'utilisation d'alcool (TUA), la phobie sociale, et la schizophrénie. Le fardeau de la dépression est le double de celui de l'affection mentale la plus proche (c'est-à-dire, le trouble bipolaire affectif) et est plus lourd que le fardeau combiné des 4 cancers les plus répandus en Ontario. Les TUA étaient le seul groupe de maladies dont une proportion substantielle du fardeau était attribuable au décès précoce. Les estimations du fardeau pour les autres affections étaient principalement attribuables à l'incapacité. Conclusions : Le fardeau de ces affections en Ontario est aussi plus lourd que celui d'autres affections, comme le cancer et les maladies infectieuses, ce qui s'explique en grande partie par la prévalence élevée, la chronicité, et l'âge de début de la plupart des troubles mentaux et des problèmes de toxicomanie. Les résultats servent de base importante à l'évaluation future des interventions destinées à aborder le fardeau de la maladie mentale et des toxicomanies.