Changes in breakfast and water consumption among adolescents in Canada: examining the impact of COVID-19 in worsening inequity.

BACKGROUND: To assess whether changes in breakfast and water consumption during the first full school year after the emergence of the COVID-19 pandemic varied based on sex/gender, race/ethnicity, and socioeconomic status among Canadian adolescents. METHODS: Prospective annual survey data collected pre- (October 2019-March 2020) and post-COVID-19 onset (November 2020-June 2021) the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behaviour (COMPASS) study. The sample consisted of 8,128 students; mean (SD) age = 14.2 (1.3) years from a convenience sample of 41 Canadian secondary schools. At both timepoints self-reported breakfast and water consumption were dichotomized as daily or not. Multivariable logistic generalized estimating equations with school clustering were used to estimate differences in maintenance/adoption of daily consumption post-COVID-19 based on demographic factors, while controlling for pre-COVID-19 behaviour. RESULTS: Adjusted odds ratios (AOR) with 95% confidence intervals are reported. Females (AOR = 0.71 [0.63, 0.79]) and lower socioeconomic status individuals (AORLowest:Highest=0.41 [0.16, 1.00]) were less likely to maintain/adopt daily breakfast consumption than male and higher socioeconomic status peers in the 2020-2021 school year. Black identifying individuals were less likely than all other racial/ethnic identities to maintain/adopt plain water consumption every day of the week (AOR = 0.33 [0.15, 0.75], p < 0.001). No significant interaction effects were detected. CONCLUSIONS: Results support the hypothesis that changes in nutritional behaviours were not equal across demographic groups. Female, lower socioeconomic status, and Black adolescents reported greater declines in healthy nutritional behaviours. Public health interventions to improve adherence to daily breakfast and water consumption should target these segments of the population. TRIAL REGISTRATION: Not a trial.

Child abuse and neglect during the COVID-19 pandemic: An umbrella review.

BACKGROUND: During the COVID-19 pandemic, multiple child health experts postulated that the stay-at-home orders would negatively impact child abuse and neglect. OBJECTIVES: We aimed to examine the impact of the COVID-19 pandemic on child abuse and neglect in children ages 18 and under; and review author recommendations for future emergency lockdown procedures. METHODS: We completed a systematic search of articles across five databases. Review-level studies were included if they examined any abuse or neglect related outcomes in children and youth (e.g., injuries, case openings), and were published in English. We completed quality appraisals of each included article using the Health Evidence™ tool. We categorized the findings by data source including administrative and survey data, or other data sources. We also narratively summarized reported recommendations. RESULTS: In total, 11 reviews were included. Two reviews were of strong quality, 7 moderate, and 2 were weak. Overall, studies within reviews that reported from administrative data sources demonstrated decreased child abuse and neglect outcomes compared to before the pandemic. Studies using cross-sectional data demonstrated increases. Reviews with mixed results often reported increases in emotional, neglect and psychological abuse cases and decreases physical and sexual abuse cases. CONCLUSIONS: This study found consistent results across reviews; depending on the data source and study design, child abuse and neglect outcomes either increased or decreased during the COVID-19 pandemic. Future work should enhance data collection methods for surveillance and intervention of child abuse and neglect during public health emergencies when traditional mechanisms are limited, with an increased focus on the rigor of reporting.

School learning modes during the COVID-19 response and pre- to during pandemic mental health changes in a prospective cohort of Canadian adolescents.

PURPOSE: Considerable debate centered on the impact of school closures and shifts to virtual learning on adolescent mental health during the COVID-19 pandemic. We evaluated whether mental health changes differed by school learning modes during the pandemic response among Canadian adolescents and whether associations varied by gender and perceived home life. METHODS: We used prospective survey data from 7270 adolescents attending 41 Canadian secondary schools. Conditional change linear mixed effects models were used to examine learning mode (virtual optional, virtual mandated, in-person, and blended) as a predictor of change in mental health scores (depression [Centre for Epidemiologic Studies - Depression], anxiety [Generalized Anxiety Disorder-7], and psychosocial well-being [Flourishing scale]), adjusting for baseline mental health and covariates. Gender and home life happiness were tested as moderators. Least square means were calculated across interaction groups. RESULTS: Students learning in a blended learning mode had greater anxiety increases relative to their peers in other learning modes. Females learning fully in-person and males learning virtually when optional reported less of an increase in depression scores relative to their gender counterparts in other learning modes. Learning virtually when optional was associated with greater declines in psychosocial well-being in students without happy home lives relative to other learning modes. CONCLUSION: Findings demonstrate the importance of considering gender and home environments as determinants of mental health over the pandemic response and when considering alternative learning modes. Further research is advised before implementing virtual and blended learning modes. Potential risks and benefits must be weighed in the context of a pandemic.

Sleep duration change among adolescents in Canada: Examining the impact of COVID-19 in worsening inequity.

Purpose: The purpose of this study was to assess if adolescent sub-populations in Canada (i.e., based on race/ethnicity, sex/gender, socioeconomic status, and urbanicity groups) experienced a larger change in sleep duration and guideline adherence between 2019 and 2020 (pre-pandemic) and the 2020-2021 (mid-pandemic) school years. Methods: Longitudinally linked data from 2019 to 2020 (pre-pandemic) and 2020-2021 (mid-pandemic) of a prospective cohort study of secondary school students (M = 14.2, SD = 1.3 years, N = 8209) in Canada were used for analyses. Regression modelling tested the main effects of race/ethnicity, sex/gender, socioeconomic status, and urbanicity on changes in sleep duration as well as adherence to Canada's 24-h Movement Guidelines for sleep (8-10 h/night). Interactions between identity variables (race/ethnicity or sex/gender) and other main effect variables were subsequently tested. Results: Females gained more sleep (4.5 [1.5, 7.5] min/day more) and increased guideline adherence (AOR = 1.16 [1.04, 1.30] than males on average. Asian race/ethnic identity was associated with less sleep gain than White identity -10.1 [-19.4, -0.8], but not guideline adherence. Individuals in large urban areas gained less sleep and adhered less to guidelines than individuals from any other level of urbanicity (-21.4 [-38.5, -4.2] to -15.5 [-30.7, -0.2] min/day). Higher individual SES scores were associated with greater sleep gain (linear trend: 11.16 [1.2-21.1]). The discrepancies in sleep gain and guideline adherence between males and females were significantly modified by race/ethnicity and urbanicity. Discussion: Increases in sleep duration may be one of the few benefits to adolescents during the COVID-19 pandemic but were not equally distributed across sub-populations. Efforts to promote better sleep adherence may need to account for sex/gender differences, especially in less urbanized areas and certain racial/ethnic groups.

Physical activity and recreational screen time change among adolescents in Canada: Examining the impact of COVID-19 in worsening inequity.

The purpose of this study was to assess if sub-populations of adolescents in Canada (i.e., race/ethnicity, sex/gender, and socioeconomic status [SES]) experienced a larger change in physical activity and screen time between the 2019-2020 (pre-pandemic) and the 2020-2021 (mid-pandemic) school years. Longitudinally linked data from pre-pandemic and mid-pandemic school years of a prospective cohort study of secondary school students in Canada (n = 8209) were used for these analyses. Multivariable regression modelling tested the main effects of race/ethnicity, sex/gender, and SES on changes in moderate-to-vigorous physical activity (MVPA) and screen time duration as well as adherence to Canada's 24-h Movement Guidelines. Overall between groups difference were assessed using type II analysis of deviance tests. Interactions between variables of interest were subsequently tested with a series of regression models compared to the main effects model using likelihood-ratio test. Post-hoc comparisons found Male participants' MVPA time decreased less compared to their female counterparts (M [95% CI] = -16.3 [-13.5, -19.2] min/day), but also reported greater increases in screen time compared to females (23.7 [14.7, 32.8] min/day) during the same period. MVPA in White participants decreased less than Asian participants (-10.7 [-19.5, -1.9] min/day) with a similar non-significant pattern observed in Black and Latin participants. Adolescents in higher SES categories fared better on adherence to MVPA (highest vs. lowest OR = 1.41 [0.97, 2.06]) and screen time recommendations(highest vs. lowest AOR = 3.13 [0.91, 11.11]). Results support the hypothesis that existing inequitable sociodemographic differences in MVPA participation and screen time have worsened throughout the pandemic.

Obesity and weight change during the COVID-19 pandemic in children and adults: A systematic review and meta-analysis.

Many obesity risk factors have increased during the COVID-19 pandemic, including physical inactivity, poor diet, stress, and poverty. The aim of this systematic review was to evaluate the impact of the COVID-19 pandemic, as well as associated lockdowns or restrictions, on weight change in children and adults. We searched five databases from January 2020 to November 2021. We included only longitudinal studies with measures from before and during the pandemic that evaluated the change in weight, body mass index (BMI) (or BMI z-scores for children), waist circumference, or the prevalence of obesity. Random effects meta-analyses were conducted to obtain pooled estimates of the mean difference in outcomes. Subgroups were evaluated for age groups and diabetes or obesity at baseline. The risk of bias was assessed using a modified version of the Newcastle-Ottawa Scale, and the certainty of the evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. A total of 74 studies were included (3,213,776 total participants): 31 studies of children, 41 studies of adults, and 2 studies of children and adults. In children, the pooled mean difference was 1.65 kg (95% confidence interval [CI]: 0.40, 2.90; 9 studies) for weight and 0.13 (95% CI 0.10, 0.17; 20 studies) for BMI z-scores, and the prevalence of obesity increased by 2% (95% CI 1%, 3%; 12 studies). In adults, the pooled mean difference was 0.93 kg (95% CI 0.54, 1.33; 27 studies) for weight and 0.38 kg/m2 (95% CI 0.21, 0.55; 25 studies) for BMI, and the prevalence of obesity increased by 1% (95% CI 0%, 3%; 11 studies). In children and adults, the pooled mean difference for waist circumference was 1.03 cm (95% CI -0.08, 2.15; 4 studies). There was considerable heterogeneity observed for all outcomes in both children and adults, and the certainty of evidence assessed using GRADE was very low for all outcomes. During the first year of the COVID-19 pandemic, small but potentially clinically significant increases in weight gain, BMI, and increased prevalence of obesity in both children and adults were observed. Increases were greater in children, and targeted prevention interventions may be warranted.

Medical, behavioural and social preconception and interconception risk factors among pregnancy planning and recently pregnant Canadian women.

OBJECTIVES: The objective of this study is to describe the clustering of medical, behavioural and social preconception and interconception health risk factors and determine demographic factors associated with these risk clusters among Canadian women. DESIGN: Cross-sectional data were collected via an online questionnaire assessing a range of preconception risk factors. Prevalence of each risk factor and the total number of risk factors present was calculated. Multivariable logistic regression models determined which demographic factors were associated with having greater than the mean number of risk factors. Exploratory factor analysis determined how risk factors clustered, and Spearman's r determined how demographic characteristics related to risk factors within each cluster. SETTING: Canada. PARTICIPANTS: Participants were recruited via advertisements on public health websites, social media, parenting webpages and referrals from ongoing studies or existing research datasets. Women were eligible to participate if they could read and understand English, were able to access a telephone or the internet, and were either planning a first pregnancy (preconception) or had ≥1 child in the past 5 years and were thus in the interconception period. RESULTS: Most women (n=1080) were 34 or older, and were in the interconception period (98%). Most reported risks in only one of the 12 possible risk factor categories (55%), but women reported on average 4 risks each. Common risks were a history of caesarean section (33.1%), miscarriage (27.2%) and high birth weight (13.5%). Just over 40% had fair or poor eating habits, and nearly half were not getting enough physical activity. Three-quarters had a body mass index indicating overweight or obesity. Those without a postsecondary degree (OR 2.35; 95% CI 1.74 to 3.17) and single women (OR 2.22, 95% CI 1.25 to 3.96) had over twice the odds of having more risk factors. Those with two children or more had 60% lower odds of having more risk factors (OR 0.68, 95% CI 0.52 to 0.86). Low education and being born outside Canada were correlated with the greatest number of risk clusters. CONCLUSIONS: Many of the common risk factors were behavioural and thus preventable. Understanding which groups of women are prone to certain risk behaviours provides opportunities for researchers and policy-makers to target interventions more efficiently and effectively.

Early (years) reactions: comparative analysis of early childhood policies and programs during the first wave of the COVID-19 pandemic.

BACKGROUND: During the first wave of COVID-19 there was little evidence to guide appropriate child and family programs and policy supports. METHODS: We compared policies and programs implemented to support early child health and well-being during the first wave of COVID-19 in Australia, Canada, the Netherlands, Singapore, the UK, and the USA. Program and policy themes were focused on prenatal care, well-baby visits and immunization schedules, financial supports, domestic violence and housing, childcare supports, child protective services, and food security. RESULTS: Significant heterogeneity in implementation of OECD-recommended policy responses was found with all of the included countries implementing some of these policies, but no country implementing supports in all of the potential areas. CONCLUSIONS: This analysis gives insight into initial government reactions to support children and families, and opportunities for governments to implement further supportive programs and policies during the current pandemic and future emergencies.

Screen use and internet addiction among parents of young children: A nationwide Canadian cross-sectional survey.

OBJECTIVES: To establish the factorial structure and internal consistency of the Internet Addiction Test (IAT) in parents, the level and correlates of problematic internet use, and patterns and types of screen use. STUDY DESIGN: Data were collected through an online questionnaire about preconception health among Canadian women and men with ≥1 child. The questionnaire included the IAT and questions about time spent on screens by device type, use of screens during meals and in the bedroom, and perceptions of overuse. Factor analysis was completed to determine the factorial structure of the IAT, with multivariable linear regression used to determine correlates of the IAT. RESULTS: The sample included 1,156 respondents (mean age: 34.3 years; 83.1% female). The IAT had two factors: "impairment in time management" and "impairment in socio-emotional functioning" of which respondents had more impairment in time management than socio-emotional functioning. Based on the original IAT, 19.4% of respondents would be classified as having a mild internet use problem with 3.0% having a moderate or severe issue. In the multivariable model, perceived stress (b = .28, SE = .05, p < .001) and depressive symptoms (b = .24, SE = .10, p = .017) were associated with higher IAT scores. Handheld mobile devices were the most common type of screen used (mean = 3 hours/day) followed by watching television (mean = 2 hours/day). CONCLUSION: Parents spent a significant portion of their time each day using screens, particularly handheld mobile devices. The disruption caused by mobile devices may hinder opportunities for positive parent-child interactions, demonstrating the need for resources to support parents ever-growing use of technologies.

Income precarity and child and parent weight change during the COVID-19 pandemic: a cross-sectional analysis of the Ontario Parent Survey.

OBJECTIVES: To describe child and parent weight change during the pandemic, overall and by income precarity. DESIGN: A cross-sectional online survey was conducted. SETTING: Caregivers of children 0-17 years of age living in Ontario, Canada, during the COVID-19 pandemic from May 2021 to July 2021. PARTICIPANTS: A convenience sample of parents (n=9099) with children (n=9667) living in Ontario were identified through crowdsourcing. PRIMARY OUTCOME MEASURE: Parents recalled, for themselves and their child, whether they lost weight, gained weight or remained the same over the past year. OR and 95% CI were estimated using multinomial logistic regression for the association between income precarity variables and weight loss or gain, adjusted for age, gender and ethnicity. RESULTS: Overall, 5.5% of children lost weight and 20.2% gained weight. Among adolescents, 11.1% lost weight and 27.1% gained weight. For parents, 17.1% reported weight loss and 57.7% reported weight gain. Parent weight change was strongly associated with child weight change. Income precarity measures, including job loss by both parents (OR=7.81, 95% CI 5.16 to 11.83) and disruption to household food supply (OR=6.05, 95% CI 4.77 to 7.68), were strongly associated with child weight loss. Similarly, job loss by both parents (OR=2.03, 95% CI 1.37 to 3.03) and disruption to household food supply (OR=2.99, 95% CI 2.52 to 3.54) were associated with child weight gain. CONCLUSIONS: Weight changes during the COVID-19 pandemic were widespread and income precarity was strongly associated with weight loss and weight gain in children and parents. Further research is needed to investigate the health outcomes related to weight change during the pandemic, especially for youth, and the impacts of income precarity.

Selecting and Evaluating Mobile Health Apps for the Healthy Life Trajectories Initiative: Development of the eHealth Resource Checklist.

BACKGROUND: The ubiquity of smartphones and mobile devices in the general population presents an unprecedented opportunity for preventative health. Not surprisingly, the use of electronic health (eHealth) resources accessed through mobile devices in clinical trials is becoming more prevalent; the selection, screening, and collation of quality eHealth resources is necessary to clinical trials using these technologies. However, the constant creation and turnover of new eHealth resources can make this task difficult. Although syntheses of eHealth resources are becoming more common, their methodological and reporting quality require improvement so as to be more accessible to nonexperts. Further, there continues to be significant variation in quality criteria employed for assessment, with no clear method for developing the included criteria. There is currently no single existing framework that addresses all six dimensions of mobile health app quality identified in Agarwal et al's recent scoping review (ie, basic descriptions of the design and usage of the resource; technical features and accessibility; health information quality; usability; evidence of impact; and user engagement and behavior change). In instances where highly systematic tactics are not possible (due to time constraints, cost, or lack of expertise), there may be value in adopting practical and pragmatic approaches to helping researchers and clinicians identify and disseminate e-resources. OBJECTIVE: The study aimed to create a set of guidelines (ie, a checklist) to aid the members of the Healthy Life Trajectories Initiative (HeLTI) Canada trial-a preconception randomized controlled clinical trial to prevent child obesity-to assist their efforts in searching, identifying, screening, and including selected eHealth resources for participant use in the study intervention. METHODS: A framework for searching, screening, and selecting eHealth resources was adapted from the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) checklist for systematic and scoping reviews to optimize the rigor, clarity, and transparency of the process. Details regarding searching, selecting, extracting, and assessing quality of eHealth resources are described. RESULTS: This study resulted in the systematic development of a checklist consisting of 12 guiding principles, organized in a chronological versus priority sequence to aid researchers in searching, screening, and assessing the quality of various eHealth resources. CONCLUSIONS: The eHealth Resource Checklist will assist researchers in navigating the eHealth resource space by providing a mechanism to detail their process of developing inclusion criteria, identifying search location, selecting and reviewing evidence, extracting information, evaluating the quality of the evidence, and synthesizing the extracted evidence. The overarching goal of this checklist is to provide researchers or generalists new to the eHealth field with a tool that balances pragmatism with rigor and that helps standardize the process of searching and critiquing digital material-a particularly important aspect given the recent explosion of and reliance on eHealth resources. Moreover, this checklist may be useful to other researchers and practitioners developing similar health interventions.

Digital Interventions to Promote Healthy Eating in Children: Umbrella Review.

BACKGROUND: eHealth and web-based service delivery have become increasingly common during the COVID-19 pandemic. Digital interventions may be highly appealing to young people; however, their effectiveness compared with that of the usual face-to-face interventions is unknown. As nutrition interventions merge with the digital world, there is a need to determine the best practices for digital interventions for children. OBJECTIVE: The aim of this study is to examine the effectiveness of digital nutrition interventions for children on dietary outcomes compared with status quo interventions (eg, conventional face-to-face programming or nondigital support). METHODS: We conducted an umbrella review of systematic reviews of studies assessing primary research on digital interventions aimed at improving food and nutrition outcomes for children aged <18 years compared with conventional nutrition education were eligible for inclusion. RESULTS: In total, 11 systematic reviews published since 2015 were included (7/11, 64%, were of moderate quality). Digital interventions ranged from internet, computer, or mobile interventions to websites, programs, apps, email, videos, CD-ROMs, games, telehealth, SMS text messages, and social media, or a combination thereof. The dose and duration of the interventions varied widely (single to multiple exposures; 1-60 minutes). Many studies have been informed by theory or used behavior change techniques (eg, feedback, goal-setting, and tailoring). The effect of digital nutrition interventions for children on dietary outcomes is small and inconsistent. Digital interventions seemed to be the most promising for improving fruit and vegetable intake compared with other nutrition outcomes; however, reviews have found mixed results. CONCLUSIONS: Owing to the heterogeneity and duration of digital interventions, follow-up evaluations, comparison groups, and outcomes measured, the effectiveness of these interventions remains unclear. High-quality evidence with common definitions for digital intervention types evaluated with validated measures is needed to improve the state of evidence, to inform policy and program decisions for health promotion in children. Now is the time for critical, robust evaluation of the adopted digital interventions during and after the COVID-19 pandemic to establish best practices for nutrition interventions for children.

Association between Weight Status and Mental Health Service Utilization in Children and Adolescents.

BACKGROUND: Previous literature reports inconsistent associations between obesity and mental health. The objective of this study was to determine the association between weight status and mental health service utilization in Ontario children and youth. METHODS: A cross-sectional study of children 0 to 18 years, identified using primary care electronic medical records from the EMRPC database in Ontario, Canada was conducted. Height and weight data were extracted to calculate BMI and linked to administrative data on mental health related outpatient visits, emergency department visits, and hospitalizations. Multivariable logistic regression models were performed. RESULTS: A total of 50,565 children were included. Overall, 2.2% were underweight, 70.4% had a normal weight, 18.3% were overweight, 6.9% had obesity and 2.2% had severe obesity. 28.2% of all children had at least one mental health visit. Multivariable analyses showed children with overweight, obesity, and severe obesity were 1.11 (95% CI 1.05-1.17), 1.18 (95% CI 1.08-1.27) and 1.39 (95% CI 1.22-1.59) times more likely to have an outpatient mental health visit compared to children with normal weight. CONCLUSION: Increased weight status was associated with mental health related outpatient visits and emergency department visits. This study may inform policy makers' planning of mental health resources for children with obesity and severe obesity.

CONTEXTE: La littérature antérieure rapporte des associations irrégulières entre obésité et santé mentale. L'objectif de la présente étude était de déterminer l'association entre le statut pondéral et l'utilisation des services de santé mentale chez les enfants et les adolescents de l'Ontario. MÉTHODES: Une étude transversale d'enfants de 0 à 18 ans qui utilisait des dossiers médicaux électroniques des soins primaires tirés de la base de donnés EMRPC de l'Ontario, Canada a été menée. Les données sur la taille et le poids ont été extraites pour calculer l'indice de masse corporelle (IMC) et couplées aux données administratives sur la santé mentale liées aux visites de patients ambulatoires, aux visites au service d'urgence, et aux hospitalisations. Des modèles de régression logistique multivariée ont été exécutés. RÉSULTATS: Au total, 50 565 enfants ont été inclus. En général, 2,2 % avaient un poids insuffisant, 70,4 % avaient un poids normal, 18,3 % avaient un excès de poids, 6,9 % présentaient une obésité et 2,2 % avaient une grave obésité. Parmi tous les enfants, 28,2 % avaient au moins une visite de santé mentale. Les analyses multivariées ont indiqué que les enfants ayant un excès de poids, une obésité et une grave obésité étaient 1,11 fois (IC à 95 % 1,05 à 1,17), 1,18 fois (IC à 95 % 1,08 à 1,27) et 1,39 fois (IC à 95 % 1,22 à 1,59) plus susceptibles d'avoir une visite ambulatoire de santé mentale comparé aux enfants de poids normal. CONCLUSION: Le statut pondéral accru était associé à des visites ambulatoires pour des raisons de santé mentale et à des visites au service d'urgence. Cette étude peut éclairer les décideurs dans leur planification des ressources de santé mentale pour les enfants souffrant d'obésité et de grave obésité.

Gastric Flora in Gastrostomy Fed Children with Neurological Impairment on Antacid Medication.

This prospective cohort study aimed to: (1) describe types, concentrations and sensitivity profiles of bacteria found in gastric aspirates of neurologically impaired children; (2) compare flora between outpatients and those admitted with aspiration pneumonia; and (3) examine predictors of bacterial colonization. Gastric aspirates from gastrostomy fed, neurologically impaired children on antacid medication were measured for pH and sent for microbiological testing. The outpatient arm included 26 children at their baseline; the inpatient arm included 31 children with a clinical diagnosis of aspiration pneumonia. Descriptive statistics summarized the ecology and resistance patterns of microbial flora. Predictors of total bacterial colonization were explored with linear regression. High concentrations of potentially pathogenic fecal-type bacteria were detected in 50/57 (88%) gastric aspirates. pH was found to be the only predictor of bacterial growth; children with gastric pH ≥ 4 had significantly higher concentrations of aerobic growth, while those with no bacterial growth had a pH < 4. Further studies to evaluate optimal gastric pH, the role of gastric bacteria in causing aspiration pneumonia, and the optimal empiric therapy for aspiration pneumonia are recommended.

Latent class analysis of obesity-related characteristics and associations with body mass index among young children.

OBJECTIVE: Identifying how obesity-related characteristics cluster in populations is important to understand disease risk. Objectives of this study were to identify classes of children based on obesity-related variables and to evaluate the associations between the identified classes and overweight and obesity. METHODS: A cross-sectional study was conducted among children 3-11 years of age (n = 5185) from the TARGet Kids! network (2008-2018). Latent class analysis was used to identify distinct classes of children based on 15 family, metabolic, health behaviours and school-related variables. Associations between the identified latent classes and overweight and obesity were estimated using multinomial logistic regression. RESULTS: Six classes were identified: Class 1: 'Family and health risk behaviours' (20%), Class 2: 'Metabolic risk' (7%), Class 3: 'High risk' (6%), Class 4: 'High triglycerides' (21%), Class 5: 'Health risk behaviours and developmental concern' (22%), and Class 6: 'Healthy' (24%). Children in Classes 1-5 had increased odds of both overweight and obesity compared with 'Healthy' class. Class 3 'High risk' was most strongly associated with child overweight (odds ratio [OR] 1.9, 95% confidence interval [CI] 1.2, 3.2) and obesity (OR 3.3, 95% CI 1.7, 6.7). CONCLUSIONS: Distinct classes of children identified based on obesity-related characteristics were all associated with increased obesity; however, the magnitude of risk varied depending on number of at-risk characteristics. Understanding the clustering of obesity characteristics in children may inform precision public health and population prevention interventions.

Strengthening public health nutrition: findings from a situational assessment to inform system-wide capacity building in Ontario, Canada.

OBJECTIVE: To assess public health nutrition practice within the public health system in Ontario, Canada to identify provincial-wide needs for scientific and technical support. DESIGN: A qualitative descriptive study was conducted to identify activities, strengths, challenges and opportunities in public health nutrition practice using semi-structured key informant interviews (n 21) and focus groups (n 10). Recorded notes were analysed concurrently with data generation using content analysis. System needs were prioritised through a survey. SETTING: Public health units. PARTICIPANTS: Eighty-nine practitioners, managers, directors, medical officers of health, researchers and other stakeholders were purposively recruited through snowball and extreme case sampling. RESULTS: Five themes were generated: (i) current public health nutrition practice was broad, complex, in transition and collaborative; (ii) data/evidence/research relevant to public health needs were insufficiently available and accessible; (iii) the amount and specificity of guidance/leadership was perceived to be mismatched with strong evidence that diet is a risk factor for poor health; (iv) resources/capacity were varied but insufficient and (v) understanding of nutrition expertise in public health among colleagues, leadership and other organisations can be improved. Top ranked needs were increased understanding, visibility and prioritisation of healthy eating and food environments; improved access to data and evidence; improved collaboration and coordination; and increased alignment of activities and goals. CONCLUSIONS: Collective capacity in the public health nutrition can be improved through strategic system-wide capacity-building interventions. Research is needed to explore how improvements in data, evidence and local contexts can bridge research and practice to effectively and efficiently improve population diets and health.

Methodological approaches to the design and analysis of nonrandomized intervention studies for the prevention of child and adolescent obesity.

OBJECTIVES: Interventions for child obesity prevention are needed and it is unclear whether evidence from nonrandomized intervention studies is adequate. The objective of this research was to review the methods for the design, analysis and reporting of nonrandomized intervention studies for child obesity prevention and to assess potential for bias. METHODS: We conducted a review of nonrandomized intervention studies, including population health interventions, quasi-experimental studies and natural experiments, published from 2013 to 2017 that were identified in a recent systematic review. Data on study design, intervention and control groups, outcome measures, and statistical analyses, were extracted. Risk of bias was evaluated using the Risk of Bias in Non-Randomized Studies of Interventions (ROBINS-I) tool. RESULTS: All identified studies (n = 23) included a school or community-based intervention and had a concurrent control group. Participants were 3-18 years and sample sizes were 100 to > 1 million. Study designs were described inconsistently, and interventions ranged from 14 weeks to 5 years. Obesity was compared between control and intervention groups using logistic or linear regression, analysis of variance and mixed effects regression. Only 48% of studies accounted for clustering, and methods to control for confounding and repeated measures varied substantially. Overall risk of bias was moderate to serious for all studies. CONCLUSION: There are substantial opportunities to improve the methods for nonrandomized intervention studies and reduce bias. Future studies should use advanced statistical and causal epidemiology methods, including better control for confounding and clustering, to generate higher quality evidence and certainty regarding which obesity prevention interventions are effective.

How can we support best practice? A situational assessment of injury prevention practice in public health.

BACKGROUND: To effectively impact the significant population burden of injury, we completed a situational assessment of injury prevention practice within a provincial public health system to identify system-wide priorities for capacity-building to advance injury prevention in public health. METHODS: A descriptive qualitative study was used to collect data on the current practice, challenges and needs of support for injury prevention. Data was collected through semi-structured interviews (n = 20) and focus groups (n = 19). Participants included a cross-section of injury prevention practitioners and leadership from public health units reflecting different population sizes and geographic characteristics, in addition to public health researchers and experts from academia, public health and not-for-profit organizations. Thematic analysis was used to code all of the data by one reviewer, followed by a second independent reviewer who coded a random selection of interview notes. Major codes and sub codes were identified and final themes were decided through iterations of coding comparisons and categorization. Once data were analysed, we confirmed the findings with the field, in addition to participating in a prioritization exercise to surface the top three needs for support. RESULTS: Major themes that were identified from the data included: current public health practice challenges; capacity and resource constraints, and; injury as a low priority area. Overall, injury prevention is a broad, complex topic that competes with other areas of public health. Best practices are challenged by system-wide factors related to resources, direction, coordination, collaboration, and emerging injury public health issues. Injury is a reportedly under prioritized and under resourced public health area of practice. Practitioners believe that increasing access to data and evidence, and improving collaboration and networking is required to promote best practice. CONCLUSIONS: The results of this study suggest that there are several system level needs to support best practice in public health injury prevention in Ontario including reducing research to practice gaps and supporting opportunities for collaboration. Our research contributes to the literature of the complexity of public health practice, and presents several mechanisms of support to increase capacity at a system level to improve injury prevention practice, and eventually lessen the population burden of injury.

Supporting public health practice in healthy growth and development in the Province of Ontario, Canada.

BACKGROUND: As public health services are modernized in Ontario, Canada, there is a need to inform the system-level roles and responsibilities of government agencies. The aim of this study was to identify how Public Health Ontario (PHO) can optimally support evidence-based planning and programming in Healthy Growth and Development (HGD) across Ontario. METHODS AND DESIGN: A situational assessment was conducted with key informants from public health and other HGD fields. SAMPLE: Key informants were identified using purposeful snowball sampling and included public health nurses, health promoters, and medical officers of health. Analytic strategy: Twenty telephone interviews and seven focus groups were used to collect data. A thematic analysis was conducted concurrently with data collection. RESULTS: Five themes were identified: (a) Transition to the new Ontario Public Health Standards (OPHS) included experiences of adopting the new OPHS within local public health units (PHUs). (b) Collaborating and networking referred to the ability to work with community partners. (c) Data, evidence, and research described the presence of data, evidence, and research to support practice. (d) Decision making, planning, and priority setting described resources available that influenced decision making. (e) Current and emerging issues in HGD included high-priority topics. CONCLUSION: Public health practice in HGD is complex with many challenges in data and evidence, and making programming decisions without adequate or measurable indicators. A specialized position at PHO is an opportunity to support some of these system-wide needs.