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BACKGROUND The majority of children in North America consume cow-milk daily. Children aged >2 y are recommended to consume reduced-fat (0.1-2%) cow-milk to lower the risk of obesity. OBJECTIVES To evaluate the relation between cow-milk fat consumption and adiposity in children aged 1-18 y. METHODS Embase (Excerpta Medica Database), CINAHL (Cumulative Index to Nursing and Allied Health Literature), MEDLINE, Scopus, and Cochrane Library databases from inception to August 2019 were used. The search included observational and interventional studies of healthy children aged 1-18 y that described the association between cow-milk fat consumption and adiposity. Two reviewers extracted data, using the Newcastle-Ottawa Scale to assess risk of bias. Meta-analysis was conducted using random effects to evaluate the relation between cow-milk fat and risk of overweight or obesity. Adiposity was assessed using BMI z-score (zBMI). RESULTS Of 5862 reports identified by the search, 28 met the inclusion criteria: 20 were cross-sectional and 8 were prospective cohort. No clinical trials were identified. In 18 studies, higher cow-milk fat consumption was associated with lower child adiposity, and 10 studies did not identify an association. Meta-analysis included 14 of the 28 studies (n = 20,897) that measured the proportion of children who consumed whole milk compared with reduced-fat milk and direct measures of overweight or obesity. Among children who consumed whole (3.25% fat) compared with reduced-fat (0.1-2%) milk, the OR of overweight or obesity was 0.61 (95% CI: 0.52, 0.72; P

BACKGROUND Many mothers of very-low-birth-weight (VLBW) infants (

OBJECTIVE This study examined the relative impact of breastfeeding duration and timing of solids introduction on BMI z score (BMIz) trajectory in early childhood. METHODS This study conducted secondary analyses of data from the Melbourne Infant Feeding, Activity and Nutrition Trial (InFANT) Program (N = 542), a prospective cohort study with data collected at birth and 3, 9, 18, 42, and 60 months. Linear spline multilevel models were performed. RESULTS Differential growth rates were observed from birth to 3 months and from 9 to 18 months by breastfeeding duration (≥ 6 vs.

Genome sequencing (GS) studies involving healthy children can advance scientific knowledge of genetic variation. Little research has examined primary care providers’ views on using GS in this context. This study explored primary care provider perspectives on the use of GS in research and the care of healthy children. We conducted semi-structured interviews with 16 providers discussing their views on GS research and receiving results. Interviews were analyzed by thematic analysis and constant comparison. Participants were family physicians (11/16) and primary care pediatricians (5/16) in practice for >10 years (11/16). Participants valued GS in healthy children for research purposes; however, opinions diverged on using the results in primary care. Proponents valued using results for surveillance and prevention in healthy children. Skeptics questioned the clinical utility of results and the appropriateness of applying research data in primary care. Both groups shared concerns over opportunistic screening, validity, and interpretation of results, increased health system costs and inequities, and genetic discrimination. Primary care providers were ambivalent about the appropriateness and utility of GS in the care of healthy children. Providers feel unprepared and unsure of their obligations in disclosing these results. Providers do not feel they are equipped with the necessary resources and training to support their patients in using GS results in their care.

INTRODUCTION Asthma prevalence is commonly measured in national surveys by questionnaire. The Ontario Asthma Surveillance Information System (OASIS) developed a validated health claims diagnosis algorithm to estimate asthma prevalence. The primary objective was to assess the agreement between two approaches of measuring asthma in young children. Secondary objectives were to identify concordant and discordant pairs, and to identify factors associated with disagreement. STUDY DESIGN AND SETTING A measurement study to evaluate the agreement between the OASIS algorithm and parent-reported asthma (criterion standard). Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated. Multivariable logistic regression was used to determine factors associated with disagreement. RESULTS Healthy children aged 1 to 5 years (n =3642) participating in the TARGet Kids! practice based research network 2008-2013 in Toronto, Canada were included. Prevalence of asthma was 14% and 6% by the OASIS algorithm and parent-reported asthma, respectively. The Kappa statistic was 0.43, sensitivity 81%, specificity 90%, PPV 34%, and NPV 99%. There were 3249 concordant and 393 discordant pairs. Statistically significant factors associated with asthma identified by OASIS but not parent report included: male sex, higher zBMI, and parent history of asthma. Males were less likely to have asthma identified by parent report but not OASIS. CONCLUSION The OASIS algorithm identified more asthma cases in young children than parent-reported asthma. The OASIS algorithm had high sensitivity, specificity, and NPV but low PPV relative to parent-reported asthma. These findings need replication in other populations.

Purpose An interdisciplinary obesity management program was established in 2007 at our quaternary hospital, including bariatric surgery for selected adolescent patients. We report the evolution of surgical management within the program and outcomes following bariatric surgery. Methods This was a retrospective review of adolescents who underwent bariatric surgery between 2007 and 2017. All cases were performed by a pediatric surgeon and an adult bariatric surgeon. Baseline demographics, BMI, co-morbidities, and post-operative outcomes were recorded. Results Thirty-eight patients underwent bariatric surgery. Median age at entrance into the program was 16.5 (range, 12.1–17.4) years and at time of surgery was 17.4 (range, 13.6–18.8) years. Eight patients had laparoscopic adjustable gastric banding (LAGB) from 2007 to 10. Between 2011 and 2017, 18 had laparoscopic sleeve gastrectomy (LSG), and 12 had laparoscopic Roux-en-Y gastric bypass (RYGB). There were no intraoperative complications or conversions. Postoperative complications included wound infection, bleeding requiring transfusion and re-exploration, and internal hernia. Of patients who had LAGB, 2 required surgical revision, and 3 underwent subsequent removal. Conclusions Adolescent bariatric surgery in the context of a multidisciplinary obesity management program is safe and effective. RYGB and sleeve gastrectomy are associated with superior weight loss in the immediate post-operative period and at most recent follow-up and lower reoperation rates than gastric banding. Level of Evidence III.

Background/objectives We examined the association for rates of age- and sex-standardized body mass index (zBMI) gain between 0–3, 3–18, and 18–36 months with BP in children at 36–72 months of age. Methods We collected repeated measures of zBMI and BP in 2502 children. zBMI was calculated using the World Health Organization standards. Each child’s zBMI at birth and rates of zBMI gain in each period from birth to 36 months were estimated using linear spline multilevel models. Generalized estimating equations were used to determine whether zBMI at birth and zBMI gain between 0–3, 3–18, and 18–36 months were each associated with repeated measures of BP at 36–72 months of age. We sequentially conditioned on zBMI at birth and zBMI gain in each period prior to each period tested, as covariates, and adjusted for important socio-demographic, familial, and study design covariates. We examined whether these associations were modified by birthweight or maternal obesity, by including interaction terms. Results After adjusting for all covariates and conditioning on prior zBMI gains, a 1 standard deviation unit faster rate of zBMI gain during 0–3 months, (β = 0.59 mmHg; 95% CI 0.31, 0.86) and 3–18 months (β = 0.74 mmHg; 95% CI 0.46, 1.03) were each associated with higher systolic BP at 36–72 months. No significant associations were observed, however, for zBMI at birth or zBMI gain in the 18–36 month growth period. zBMI gains from 0–3 and 3–18 months were also associated with diastolic BP. Birthweight significantly modified the relationship during the 3–18 month period (p = 0.02), with the low birthweight group exhibiting the strongest association for faster rate of zBMI gain with higher systolic BP (β = 1.31 mmHg; 95% CI 0.14, 2.48). Conclusions Given that long-term exposure to small elevations in BP are associated with subclinical cardiovascular disease, promoting interventions targeting healthy growth in infancy may be important.

To examine the prevalence and predictors of high-risk health behaviours in pregnancy-planning women and men.Cross-sectional online survey.Canada.Canadian women (n = 529) and men (n = 92) self-identifying as planning a pregnancy within 5 years, recruited through email and social media.Health behaviours examined included smoking, alcohol and cannabis use, internet addiction, low physical activity, overweight and obesity, eating habits, and sleeping less than 6 h/night.Prevalent preconception high-risk health behaviours in both women and men were low physical activity (women 44.9%, men 38.8%), overweight and obesity (women 52.5%, men 64.9%), and unhealthy eating habits (women 42.8%, men 55.8%), while men had a significantly higher prevalence of cigarette smoking (women 4.9%, men 12.0%, p=.008) and alcohol use (women 19.6%, men 40.7%, p.001). The mean number of high-risk health behaviours in women was 2.1 (SD=1.37) compared to 2.5 (SD=1.37) in men (p=.001). Significant predictors of a higher number of high-risk health behaviours included multiparity, low education and depression in women, and higher perceived stress in men.There is a high prevalence of high-risk health behaviours in women and men actively trying to conceive or planning to achieve pregnancy soon. Health promotion should be a key component of preconception health interventions for both women and men as part of a life course approach to optimizing population health.Findings demonstrate modifiable targets for preconception programs and factors that can be used to identify at-risk groups requiring intervention. Individual-level interventions require societal changes that promote healthy behaviours through better health policies and strong public health messaging.

Nutrition in early childhood is important for healthy growth and development. Achieving school readiness is considered one of the most important developmental milestones for young children.The purpose of this study is to determine if nutritional risk in early childhood is associated with school readiness in kindergarten.A prospective cohort study was conducted through The Applied Research Group for Kids (TARGet Kids!) primary care research network in Toronto, Canada, 2015-2020. Nutritional risk was measured (18 mo to 5 y) using validated parent-completed questionnaires called Nutrition Screening for Toddlers and Preschoolers (NutriSTEP). High nutritional risk was categorized as scores ≥21. School readiness was measured using the validated teacher-completed Early Developmental Instrument (EDI), which measures 5 developmental domains in kindergarten (2 y of schooling, ages 4-6 y, before they enter grade 1). Vulnerability indicates scores lower than a population-based cutoff at the 10th percentile on at least 1 domain. Multiple logistic and linear regression models were conducted adjusting for relevant confounders.The study included 896 children: 53% were male, 9% had high nutritional risk, and 17% were vulnerable on the EDI. A 1-SD increase in NutriSTEP total score was associated with 1.54 times increased odds of being vulnerable on the EDI among children in year 2 of kindergarten (P = 0.001). High nutritional risk cutoff was associated with 4.28 times increased odds of being vulnerable on the EDI among children in year 2 of kindergarten (P 0.001). NutriSTEP total score and high nutritional risk were associated with lower scores on all 5 EDI domains, with the strongest association observed for the domains of language and cognitive development and communication skills and general knowledge.Higher nutritional risk in early childhood is associated with lower school readiness in year 2 of kindergarten. Nutritional interventions early in life may offer opportunities to enhance school readiness. This trial was registered www.clinicaltrials.gov as NCT01869530.

Background The primary aim of this study was to determine if screen use in early childhood is associated with overall vulnerability in school readiness at ages 4 to 6 years, as measured by the Early Development Instrument (EDI). Secondary aims were to: (1) determine if screen use was associated with individual EDI domains scores, and (2) examine the association between screen use and EDI domains scores among a subgroup of high screen users. Methods This prospective cohort study was carried out using data from young children participating in a large primary care practice-based research network in Canada. Logistic regression analyses were run to investigate the association between screen use and overall vulnerability in school readiness. Separate linear regression models examined the relationships between children’s daily screen use and each separate continuous EDI domain. Results A total of 876 Canadian participants participated in this study. Adjusted logistic regression revealed an association between increased screen use and increased vulnerability in school readiness (p = 0.05). Results from adjusted linear regression demonstrated an association between higher screen use and reduced language and cognitive development domain scores (p = 0.004). Among high screen users, adjusted linear regression models revealed associations between increased screen use and reduced language and cognitive development (p = 0.004) and communication skills and general knowledge domain scores (p = 0.042). Conclusions Screen use in early childhood is associated with increased vulnerability in developmental readiness for school, with increased risk for poorer language and cognitive development in kindergarten, especially among high users.

Objective:To determine if nutritional risk in early childhood is associated with parent-reported school concerns.Design:A prospective cohort study conducted through the TARGet Kids! primary care research network (2011–2018). Nutritional risk was measured between 18 months and 5 years of age using validated parent-completed NutriSTEP® questionnaires with eating behaviour and dietary intake subscores (0 = lowest and 68 = highest total nutritional risk score). Parent-reported school concerns were measured at school age (4–10 years of age) and included: speech and language; learning; attention; behaviour; social relationships; physical coordination; fine motor coordination and self-help skills and independence. The primary outcome was any parent-reported school concerns, and individual school concerns were used as secondary outcomes. Multiple logistic regression models were conducted adjusting for clinically relevant confounders to assess the relationship between nutritional risk and school concerns.Setting:Toronto, Canada.Participants:Children aged 18 months to 10 years.Results:The study included 3655 children, 52 % were male, mean NutriSTEP® score was 14·4 (sd 6·4). Each 1 sd increase in NutriSTEP® total score was associated with a 1·18 times increased odds of school concerns (adj OR: 1·18, 95 % CI 1·07, 1·28, P = 0·0004), and high nutritional risk was associated with a 1·42 times increased odds of school concerns (adj OR: 1·42, 95 % CI 1·13, 1·78, P = 0·002).Conclusions:Nutritional risk in early childhood was associated with school concerns. Nutritional interventions in early childhood may reveal opportunities to enhance school outcomes.

BACKGROUND The association of diet quality with depression among the pediatric age group has been inconsistent. This may be due, in part, to varying dietary assessment methods. The current study sought to examine this association, and its reliability, using four dietary measures previously studied in children and adolescents. METHODS Dietary habits among 139 children and adolescents (10-18 years, 66% female) with major depressive disorder [MDD (n = 77)], non-MDD psychiatric conditions (PSYCH; n = 31), or without psychiatric illness (healthy controls [HC]; n = 31) were examined. Using self-reported dietary intake, diet quality was characterized using the Youth Healthy Eating Index (YHEI), Dietary Questionnaire (DQ), Health Behaviour of Teenagers (HBT), and the Healthy Eating Habits Scale (HEHS). Multivariate Analysis of Covariances examined the association between depression status and dietary habits across measures controlling for participant age. RESULTS The multivariate effect was significant by diet measures, F (16, 256) = 1.9, p = .02, partial η2 = 0.12, with significant differences across groups on consumption of healthy dietary practices and minimal variability across measures. In subgroup analyses, MDD children had decreased consumption of healthy foods compared with PSYCH and HC children on three out of four measures. There was no difference in consumption of unhealthy foods across diagnostic groups. LIMITATIONS Cross-sectional design. CONCLUSIONS Children with MDD consume fewer healthy foods than non-MDD children, with little variation by dietary measure. Research examining the directionality of this association and specific dietary deficits among MDD youth is needed to elucidate potential preventative targets for intervention.

Objective To establish reference intervals for hemoglobin and mean corpuscular volume (MCV) in an ethnically diverse community sample of Canadian children 36 months and younger. Methods We collected blood samples from young children at scheduled primary care health supervision visits at 2 weeks, 2, 4, 6, 9, 12, 15, 18, 24, and 36 months of age. Samples were analyzed on the Sysmex XN-9000 Hematology Analyzer. We followed the Clinical and Laboratory Standards Institute guidelines in our analysis. Data were partitioned by sex and also combined. We considered large age partitions (3 and 6 months) as well as monthly partitions. Reference intervals (lower and upper limits) and 90% confidence intervals were calculated. Results Data from 2106 children were included. The age range was 2 weeks to 36 months, 46% were female, 48% were European and 23% were of mixed ethnicity. For hemoglobin, from 2 to 36 months of age, we found a wide reference interval and the 90% confidence intervals indicated little difference across age groups or according to sex. For MCV, from 2 to 7 months of age there was considerable decrease in the reference interval, which was lowest during the second year of life, followed by a slight increase in the last months of the third year of life. Conclusion These findings suggest adoption of a single hemoglobin reference interval for children 2–36 months of age. Further studies in children under 4 months of age are needed. Trial registration TARGet Kids! cohort is registered at ClinicalTrials.gov. www.clinicaltrials.gov. Identifier: NCT01869530.

Objective To evaluate the relationship between the timing of infant cereal introduction between 4 and 6 months of age and growth and dietary intake in later childhood. Study design A longitudinal cohort study was conducted among healthy children 0-10 years of age participating in The Applied Research Group for Kids cohort study between June 2008 and August 2019 in Toronto, Canada. Results Of 8943 children included, the mean (SD) age of infant cereal introduction was 5.7 (2.1) months. In the primary analysis, children who were introduced to infant cereal at 4 vs 6 months had 0.17 greater body mass index z score (95% CI 0.06-0.28; P = .002) and greater odds of obesity (OR 1.82; 95% CI 1.18-2.80; P = .006) at 10 years of age. In the secondary analysis, children who were introduced to infant cereal at 4 vs 6 months had 0.09 greater height-for-age z score (95% CI 0.04-0.15; P = .002) at 1 year of age, an association that was not observed at 5 or 10 years of age. Children who were introduced to infant cereal at 4 vs 6 months had greater nutrition risk which was primarily determined by a less-favorable eating behavior score at 18 months to 5 years of age (0.18 units higher; 95% CI 0.07-0.29; P = .001). Conclusions Introduction of infant cereal at 4 vs 6 months was associated with greater body mass index z score, greater odds of obesity, similar height-for-age z score, and less favorable eating behavior. These findings support recommendations for introducing solid food around 6 months of age.

Background: Robust measurement of dietary intake in population studies of children is critical to better understand the diet-health nexus. It is unknown whether parent proxy-report of children’s dietary intake through online 24-hour recalls is feasible in large cohort studies. Objectives: The primary objective of this study was to describe the feasibility of the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24) to measure parent proxy-reported child dietary intake. A secondary objective was to compare intake estimates with those from national surveillance. Methods: Parents of children aged 4-15 years participating in the TARGet Kids! research network in Toronto, Canada were invited by email to complete an online ASA24-Canada-2016 recall for their child, with a subsample prompted to complete a second recall about two weeks later. Descriptive statistics were reported for ASA24 completion characteristics and intake of several nutrients. Comparisons were made to the 2015 Canadian Community Health Survey (CCHS) 24-hour recall data. Results: A total of 163 parents completed the first recall and 46 completed the second, reflecting response rates of 35% and 59%, respectively. Seven (4%) first recalls and one (2%) second recall were excluded for ineligibility, missing data, or inadvertent parental self-report. The median number of foods reported on the first recall was 18.0 (interquartile range [IQR] 6.0) and median time to complete was 29.5 minutes (IQR 17.0). Nutrient intakes for energy, total fat, protein, carbohydrates, fiber, sodium, total sugars, and added sugars were similar across the two recalls and the CCHS. Conclusions: The ASA24 was found to be feasible for parent proxy-reporting of children’s intake and to yield intake estimates comparable to those from national surveillance, but strategies are needed to increase response rate and support completion to enhance generalizability.

Primary Subject area Public Health and Preventive Medicine Background Various studies have examined the general impact of the COVID-19 outbreak on children’s health behaviours. The impact of public health measures practised by children during COVID-19 is relatively unknown. Objectives The primary objective was to determine the association between physical and social distancing measures and children’s outdoor time, sleep duration, and screen time during COVID-19. Design/Methods A longitudinal study using repeated measures of exposures and outcomes was conducted in healthy children (0 to 10 years) between April 14 and July 15, 2020. Parents were asked to complete questionnaires about isolation, physical distancing practices, and children’s health behaviours. The primary exposure was the average number of days that children practised physical and social distancing measures per week. The three outcomes were children’s outdoor time, total screen time, and sleep duration during COVID-19. Linear mixed effects models were fitted using repeated measures of primary exposure and outcomes. Results This study included 554 observations from 265 children. Physical and social distancing measures were associated with shorter outdoor time (-17.2; 95% CI -22.07, -12.40; p < 0.001) and longer total screen time (11.3; 95% CI 3.88, 18.79; p = 0.003) during COVID-19. The association with outdoor time was stronger in younger children (< 5 years), and the associations with total screen time were stronger in females and in older children (≥ 5 years). Conclusion Physical and social distancing measures during COVID-19 have resulted in negative impacts on the health behaviours of Canadian children living in a large metropolitan area.

IntroductionThe ‘Developmental Origins of Health and Disease’ hypothesis suggests that a healthy trajectory of growth and development in pregnancy and early childhood is necessary for optimal health, development and lifetime well-being. The purpose of this paper is to present the protocol for a randomised controlled trial evaluating a preconception-early childhood telephone-based intervention with tailored e-health resources for women and their partners to optimise growth and development among children in Canada: a Healthy Life Trajectory Initiative (HeLTI Canada). The primary objective of HeLTI Canada is to determine whether a 4-phase ‘preconception to early childhood’ lifecourse intervention can reduce the rate of child overweight and obesity. Secondary objectives include improved child: (1) growth trajectories; (2) cardiometabolic risk factors; (3) health behaviours, including nutrition, physical activity, sedentary behaviour and sleep; and (4) development and school readiness at age 5 years.Method and analysisA randomised controlled multicentre trial will be conducted in two of Canada’s highly populous provinces—Alberta and Ontario—with 786 nulliparous (15%) and 4444 primiparous (85%) women, their partners and, when possible, the first ‘sibling child.’ The intervention is telephone-based collaborative care delivered by experienced public health nurses trained in healthy conversation skills that includes detailed risk assessments, individualised structured management plans, scheduled follow-up calls, and access to a web-based app with individualised, evidence-based resources. An ‘index child’ conceived after randomisation will be followed until age 5 years and assessed for the primary and secondary outcomes. Pregnancy, infancy (age 2 years) and parental outcomes across time will also be assessed.Ethics and disseminationThe study has received approval from Clinical Trials Ontario (CTO 1776). The findings will be published in peer-reviewed journals and disseminated to policymakers at local, national and international agencies. Findings will also be shared with study participants and their communities.Trial registration numberISRCTN13308752; Pre-results.

Data collected longitudinally as part of usual health care is becoming increasingly available for research, and is often available across several centres. Because the frequency of follow-up is typically determined by the patient’s health, the timing of measurements may be related to the outcome of interest. Failure to account for the informative nature of the observation process can result in biased inferences. While methods for accounting for the association between observation frequency and outcome are available, they do not currently account for clustering within centres. We formulate a semi-parametric joint model to include random effects for centres as well as subjects. We also show how inverse-intensity weighted GEEs can be adapted to account for clustering, comparing stratification, frailty models, and covariate adjustment to account for clustering in the observation process. The finite-sample performance of the proposed methods is evaluated through simulation and the methods illustrated using a study of the relationship between outdoor play and air quality in children aged 2–9 living in the Greater Toronto Area.

The primary objective was to determine the association between public health preventive measures and children's outdoor time, sleep duration, and screen time during COVID-19.A cohort study using repeated measures of exposures and outcomes was conducted in healthy children (0 to 10 years) through The Applied Research Group for Kids (TARGet Kids!) COVID-19 Study of Children and Families in Toronto, Canada, between April 14 and July 15, 2020. Parents were asked to complete questionnaires about adherence to public health measures and children's health behaviours. The primary exposure was the average number of days that children practiced public health preventive measures per week. The three outcomes were children's outdoor time, total screen time, and sleep duration during COVID-19. Linear mixed-effects models were fitted using repeated measures of primary exposure and outcomes.This study included 554 observations from 265 children. The mean age of participants was 5.5 years, 47.5% were female and 71.6% had mothers of European ethnicity. Public health preventive measures were associated with shorter outdoor time (-17.2; 95% CI -22.07, -12.40; p0.001) and longer total screen time (11.3; 95% CI 3.88, 18.79; p = 0.003) during COVID-19. The association with outdoor time was stronger in younger children (5 years), and the associations with total screen time were stronger in females and in older children (≥5 years).Public health preventive measures during COVID-19 were associated with a negative impact on the health behaviours of Canadian children living in a large metropolitan area.RéSUMé: OBJECTIF: L’objectif principal était de déterminer la relation entre les mesures préventives de la santé publique et le temps passé en plein air, la durée du sommeil ainsi que le temps passé devant l’écran par les enfants pendant COVID-19. MéTHODES: Une étude de cohorte utilisant des mesures répétées des expositions et des effets a été menée chez des enfants en bonne santé (0 à 10 ans) par l’entremise de l’Étude COVID-19 sur les Enfants et Familles du Groupe de Recherche Appliquée pour les Enfants (TARGet Kids!) à Toronto, au Canada, entre le 14 avril et le 15 juillet 2020. Les parents ont été invités à remplir des questionnaires sur adhésion aux mesures préventives de la santé publique et les comportements de santé des enfants. La principale exposition était le nombre moyen de jours par semaine durant lesquels les enfants pratiquaient des mesures préventives de la santé publique. Les trois effets étaient le temps passé en plein air par les enfants, le temps total passé devant l’écran et la durée du sommeil pendant le COVID-19. Des modèles linéaires à effets mixtes ont été ajustés en utilisant des mesures répétées d’exposition primaire et des effets. RéSULTATS: Cette étude comprend 554 observations sur 265 enfants. L’âge moyen des participants était de 5,5 ans, 47,5 % étaient des femmes et 71,6 % avaient des mères d’origine européenne. Les mesures préventives de la santé publique ont été associées à un temps passé en plein air plus court (-17,2 ; IC 95% -22,07, -12,40; p0,001) et à un temps total devant l’écran plus long (11,3 ; IC 95% 3,88, 18,79; p = 0,003) pendant la COVID-19. La relation avec le temps passé en plein air était plus importante chez les jeunes enfants (5 ans), et les relations avec le temps total passé devant l’écran étaient plus importantes chez les enfants de sexe féminin et les enfants plus âgés (≥5 ans). CONCLUSION: Les mesures préventives de la santé publique prises lors de COVID-19 ont été associées à un impact négatif sur les comportements de santé des enfants canadiens vivant dans une grande région métropolitaine.

Objectives:To examine the association between mealtime media use and non-HDL-cholesterol as well as other markers of cardiometabolic risk (CMR) in children.Design:A repeated measures study design was used to examine the association between mealtime media use and CMR outcomes. Multivariable linear regression with generalised estimating equations was used to examine the association between mealtime media use and CMR outcomes. Analyses were stratified a priori by age groups (1–4 and 5–13 years).Setting:The TARGet Kids! Practice-based research network in Toronto, Canada.Participants:2117 children aged 1–13 years were included in the analysis.Results:After adjusting for covariates, there was no evidence that total mealtime media use was associated with non-HDL-cholesterol in 1–4 year olds (P = 0·10) or 5–13 year olds (P = 0·29). Each additional meal with media per week was associated with decreased HDL-cholesterol in 5–13 year olds (−0·006 mmol/l; 95 % CI −0·009, −0·002; P = 0·003) and log-TAG in 1–4 year olds (β = −0·004; 95 % CI −0·008, −0·00009; P = 0·04). Media use during breakfast was associated with decreased HDL-cholesterol in 5–13 year olds (−0·012 mmol/l; 95 % CI −0·02, −0·004; P = 0·002), while media during lunch was associated with decreased log-TAG (−0·01 mmol/l; 95 % CI −0·03, −0·002; P = 0·03) in children aged 1–4 years. Total mealtime media use was not associated with total cholesterol, glucose or insulin in either age group.Conclusions:Mealtime media use may be associated with unfavourable lipid profiles through effects on HDL-cholesterol in school-aged children but likely not in pre-schoolers.

Background: Few studies have published mediation analyses to quantify the role concurrent BMI plays in the relationship between growth and cardiometabolic risk (CMR) outcomes. Methods: We used data...

Highlights • No evidence of an association between children’s parental-reported screen time and total cardiometabolic risk score. • Weak association between increased screen time and reduced HDL cholesterol in children. • No sex or age interactions detected between parental-reported screen time and cardiometabolic risk., Screen use has become a pervasive behaviour among children and has been linked to adverse health outcomes. The objective of this study was to examine the association between screen time and a comprehensive total cardiometabolic risk (CMR) score in school-aged children (7–12-years), as well as individual CMR factors. In this longitudinal study, screen time was measured over time (average duration of follow-up was 17.4 months) via parent-report. Anthropometric measurements, blood pressure, and biospecimens were collected over time and used to calculate CMR score [sum of age and sex standardized z-scores of systolic blood pressure (SBP), glucose, log-triglycerides, waist circumference (WC), and negative high-density lipoprotein cholesterol (HDL-c)/square-root of 5]. Generalized estimating equations (GEE) were used to examine the association between screen time and total CMR score as well as individual CMR factors. A total of 567 children with repeated measures were included. There was no evidence of an association between parent-reported child screen time and total CMR score (adjusted β = −0.01, 95% CI [−0.03, 0.005], 0.16). Screen time was inversely associated HDL-c (adjusted β = −0.008, 95% CI [−0.011, −0.005], p = 0.016), but there was no evidence that the other CMR components were associated with screen time. Among children 7–12 years, there was no evidence of an association between parent-reported child screen time and total CMR, but increased screen time was associated with slightly lower HDL-c. Research is needed to understand screen-related contextual factors which may be related to CMR factors.

Background Vegetarian diets are becoming increasingly popular among Canadians, yet few studies have evaluated the relationship between a vegetarian diet and childhood growth and nutritional status. Since vegetarian diets can be less energy dense and may have lower micronutrient content, we hypothesized that a vegetarian diet may affect childhood growth including lower adiposity and height, as well as lower micronutrient stores. Objectives The primary objective of this study was to evaluate the relationship between vegetarian diet and growth, including adiposity and height among healthy children 6 months to 10 years of age. Secondary objectives included the examination of the relationship between vegetarian diet and iron and vitamin D stores. We also explored whether cow’s milk intake or age modified the associations between vegetarian diet and growth, and micronutrient stores. Design/Methods This was a prospective cohort study of healthy children age 6 months to 10 years. The primary exposure was vegetarian diet measured by parent report. The primary outcome was BMI z-score. Secondary outcomes included height-for-age z-score, serum ferritin, and serum 25-hydroxyvitamin D. Anthropometric measures and venous blood samples were collected at health supervision visits by trained research assistants. Linear mixed effect modelling was used to determine the association between vegetarian diet, growth, and micronutrient stores. Results A total of 8912 children (n = 248 vegetarian) participated. In the adjusted models there was no evidence of an association between vegetarian diet and BMI z-score (p = 0.605, 95% CI: -0.06, 0.10), height-for-age z-score (p 0.057, 95% CI: -0.16, 0.002), serum ferritin (p = 0.768, 95% CI: -3.84, 2.84), or 25-hydroxyvitamin D (p = 0.204, 95% CI: -2.14, 0.46). The relationship between vegetarian diet and serum 25-hydroxyvitamin D was modified by child age. Volume of cow’s milk intake did not modify the relationships between vegetarian diet and BMI z-score, height-for-age z-score, serum ferritin, or 25-hydroxyvitamin D. In a secondary analysis, we examined adiposity through weight status categories and found children with a vegetarian diet had higher odds of being underweight (BMI z-score Conclusion In this prospective cohort study, evidence of an association between vegetarian diet and lower BMI z-score, height-for-age z-score, and micronutrient stores was not found. Our results suggest children with vegetarian diets had higher odds of being underweight. Future research is needed to evaluate dietary factors and patterns of children following vegetarian diets, especially those with an underweight weight status.

Background Income related inequities in child health are well-established, with children from lower income households showing increased risk of obesity, behavior problems, and delayed development. To facilitate clinical diagnosis, outcomes are conventionally measured in dichotomous terms. However, inequities may exist along the entire range of distribution, with implications for population health. Objectives Our primary objective was to examine differences in the distribution of three measures of child health by income: body mass index (BMI), behavior difficulties and development. Design/Methods This was a cross sectional study of children enrolled in a primary care practice-based research cohort. Our study included generally healthy children recruited from age 0-5 years. Dependent variables were 1) BMI z-score (zBMI) at 5 years; 2) behavior: total score on the Strengths and Difficulties Questionnaire (SDQ), measured at 3-5 years; 3) development: total score on the Infant Toddler Checklist (ITC), measured at 18-24 months. Independent variable was parent-reported annual household income (< $100,000 vs ≥ $100000). We then used distributional decomposition, which uses mathematical re-weighting to construct a counterfactual distribution that describes the distribution of the lower income group based on the predictor profile (child age, sex, birthweight, prematurity, breastfeeding duration; maternal age, education, immigration status, ethnicity) of the higher income group. Results Our study samples consisted of 1649 (zBMI), 764 (SDQ) and 761 (ITC) children. Mean BMI z-score was 0.16, median total difficulties score was 7, median ITC score was 48. Comparing distributions graphically (Figure 1), children with low income have a higher risk distribution for all outcomes; for example, children with low income were more likely to have BMI z-scores in the underweight and obese ranges. For each outcome, the counterfactual curve lower income children with the predictor profile of their higher income counterparts reduced inequities somewhat, particularly in the normal or low risk range, but not in the high-risk range. However, there were notable unexplained portions of inequity remaining. Conclusion In a cohort of generally healthy children, we found evidence of meaningful income-related inequities in the distribution of child zBMI, behavior difficulties, and development. Population health interventions aiming to mitigate these inequities by addressing common predictors may improve outcomes in the normal range; however targeted clinical interventions are likely required for those in the high-risk range.

Background International guidelines recommend that children older than 2 years of age consume reduced fat (0.1-2%) instead of whole cow’s milk (3.25% fat) to prevent childhood obesity, but these guidelines are consensus-based and have a low GRADE level of evidence. Objectives The primary objective of this study was to evaluate the longitudinal relationship between cow’s milk fat (0.1-3.25%) intake and Body Mass Index z-score (zBMI) in children aged 9 months to 8 years. The secondary objective was to determine the relationship between cow’s milk fat intake and odds of overweight (zBMI >1) and obesity (zBMI > 2). Design/Methods A prospective cohort study of children 9 months to 8 years of age was conducted through the TARGet Kids! primary care research network. The primary exposure was cow’s milk fat consumption (skim (0.1%), 1%, 2%, or whole [3.25%]), measured by parental report. The primary outcome was zBMI, an age and sex adjusted measure of child adiposity. Height and weight were measured by trained research assistants and zBMI was determined according to the WHO growth standards. A linear mixed effects model and logistic generalized estimating equations were used to determine the longitudinal association between cow’s milk fat intake and child zBMI. Results Among children aged 9 months to 8 years of age (N= 7467), each 1% increase in cow’s milk fat consumed was associated with a 0.05 lower zBMI score (95% CI -0.07 to -0.03, p< 0.0001). Compared to children who consumed reduced fat (0.1-2%) cow’s milk, there was evidence that children who consumed whole cow’s milk had 16% lower odds of overweight (OR=0.84, 95% CI 0.77 to 0.91), p< 0.0001) and 18% lower odds of obesity (OR= 0.82, 95% CI 0.68 to 1.00, p= 0.047). Conclusion Guidelines for reduced fat instead of whole cow’s milk during childhood may not be effective in preventing overweight or obesity. Randomized controlled trial data is needed to understand which cow’s milk fat optimizes child growth, development and nutrition.

Objective:To evaluate the association between the age of cow milk introduction and childhood growth.Design:A secondary analysis of a prospective cohort study.Setting:Toronto, Canada.Participants:Healthy children z-score. Secondary outcomes were volume of cow milk consumed (cups/d) and BMI z-score. Outcomes were measured at the last visit before 5 years of age. Multiple linear regression was used to examine these relationships.Results:Among 1981 children, introduction of cow milk at a younger age was associated with greater height by 3–5 years of age (P < 0·001). Each month earlier that cow milk was introduced was associated with 0·03 higher height-for-age z-score unit (95 % CI –0·05, –0·02) or 0·1 cm (95 % CI –0·15, –0·12 cm). At 4 years of age, the height difference between a child introduced to cow milk at 9 v. 12 months was 0·4 cm (95 % CI –0·45, –0·35 cm). There was no association between the timing of cow milk introduction and volume of cow milk consumed per day or BMI z-score.Conclusions:Earlier introduction of cow milk was associated with greater height but not with weight status in children aged 3–5 years. Further research is needed to understand the casual relationship between earlier cow milk consumption and childhood height. These findings may be important for paediatricians and parents when considering when to introduce cow milk.

Background There are no current estimates of severe obesity in Canadian children. The objectives of this study were to determine the prevalence of severe obesity in children aged 18 years or less in Ontario and to determine temporal trends from 2004 to 2015. Methods This was a repeated cross-sectional study using height/length and weight of children aged 18 years or less from the Electronic Medical Record Administrative data Linked Database (EMRALD), a database of primary care electronic medical records in Ontario. We calculated body mass index (for age and sex) z-scores (zBMI). Two years of data (2014 and 2015) were used to determine the period prevalence of severe obesity. We used multivariable linear regression generalized estimating equations to estimate the association of calendar year and mean zBMI. Results In total, 55 233 children were included. The prevalence of severe obesity (zBMI > 3) increased with increasing age: it was 0.9% (95% confidence interval [CI] 0.7% to 1.0%) among children less than 5 years of age, 2.7% (95% CI 2.3% to 3.1%) among 5- to 9-year-olds, 2.9% (95% CI 2.4% to 3.3%) among 10- to 14-year-olds and 3.7% (95% CI 3.1% to 4.3%) among those aged 15-18. Boys aged 5-9 years had a significantly higher prevalence of severe obesity than their female counterparts (3.5% [95% CI 2.9% to 4.2%] v. 1.7% [95% CI 1.3% to 2.2%]). From 2004 to 2015, the mean zBMI decreased by 0.015 (95% CI -0.018 to -0.012) units per year, with the overall prevalence of severe obesity in all ages highest in 2005 (3%) and a decrease to 2% in 2015. Interpretation The prevalence of severe obesity among children and adolescents in Ontario is consistent with that in other developed countries with the exception of the United States. There is evidence of plateauing of estimates and a small decrease in zBMI over time. Further understanding of the impact of prevention efforts on these estimates is an important next step.

Childhood obesity is a major public health challenge and its prevalence continues to increase in many, but not all, countries worldwide. International data indicate that the prevalence of obesity is greater among boys than girls 5–19 years of age in the majority of high and upper middle-income countries worldwide. Despite this observed sex difference, relatively few studies have investigated sex-based and gender-based differences in childhood obesity. We propose several hypotheses that may shape the research agenda on childhood obesity. Differences in obesity prevalence may be driven by gender-related influences, such as societal ideals about body weight and parental feeding practices, as well as sex-related influences, such as body composition and hormones. There is an urgent need to understand the observed sex differences in the prevalence of childhood obesity; incorporation of sex-based and gender-based analysis in all childhood obesity studies may ultimately contribute to improved prevention and treatment.

International guidelines recommend children aged 9 months to 2 years consume whole (3.25%) fat cow's milk, and children older than age 2 years consume reduced (0.1-2%) fat cow's milk to prevent obesity. The objective of this study was to evaluate the longitudinal relationship between cow's milk fat (0.1-3.25%) intake and body mass index z-score (zBMI) in childhood. We hypothesized that higher cow's milk fat intake was associated with lower zBMI.A prospective cohort study of children aged 9 months to 8 years was conducted through the TARGet Kids! primary care research network. The exposure was cow's milk fat consumption (skim (0.1%), 1%, 2%, whole (3.25%)), measured by parental report. The outcome was zBMI. Height and weight were measured by trained research assistants and zBMI was determined according to WHO growth standards. A linear mixed effects model and logistic generalized estimating equations were used to determine the longitudinal association between cow's milk fat intake and child zBMI.Among children aged 9 months to 8 years (N = 7467; 4699 of whom had repeated measures), each 1% increase in cow's milk fat consumed was associated with a 0.05 lower zBMI score (95% CI -0.07 to -0.03, p 0.0001) after adjustment for covariates including volume of milk consumed. Compared to children who consumed reduced fat (0.1-2%) milk, there was evidence that children who consumed whole milk had 16% lower odds of overweight (OR = 0.84, 95% CI 0.77 to 0.91, p 0.0001) and 18% lower odds of obesity (OR = 0.82, 95% CI 0.68 to 1.00, p = 0.047).Guidelines for reduced fat instead of whole cow's milk during childhood may not be effective in preventing overweight or obesity.

BACKGROUND Rapid growth is associated with increased cardiometabolic risk (CMR) in adolescence and adulthood. Little is known about whether the association between rapid growth and increased CMR originates in early childhood. OBJECTIVES To identify age and sex standardized body mass index (zBMI) trajectories and to examine the association between zBMI trajectories and CMR outcomes in children 0 to 60 months. STUDY DESIGN A longitudinal cohort study was conducted through The Applied Research Group for Kids (TARGet Kids!) in Toronto, Canada. Participants had repeated measures of weight and length or height performed from birth to 60 months of age. Latent class mixed modelling was used to identify the zBMI trajectories. Linear regressions were performed to determine the association between zBMI trajectories and the primary outcome, a CMR score, quantified as the sum of age- and sex- standardized waist circumference, systolic blood pressure, glucose, log-triglycerides and negative high-density lipoprotein cholesterol (HDL-C), divided by √5. Secondary outcomes were the individual components of the CMR formula as well as diastolic blood pressure and non-HDL-C. RESULTS Four BMI trajectories were identified among the 1166 children. After adjusting for all covariates, children in the rapidly accelerating trajectory had increased total CMR score (β = 1.38, 95% CI 0.77; 1.99, P

With increasing recognition of mental health’s importance for overall health, public health professionals are seeking to better understand early risk factors for mental illness. A majority of mental health problems emerge during childhood; there is evidence of a particular association between increased childhood growth and poorer mental health. The current study sought to determine the association between growth trajectories during infancy and early childhood (birth to age 5) and mental health (behavioural and emotional difficulties) in early- to mid-childhood (age 3 to 8). The study was conducted among a subset (n=665) of participants from The Applied Research Group for Kids (TARGet Kids!), an ongoing longitudinal cohort study. Five growth trajectories were determined via repeated measures of age- and sex-standardized body mass index (BMI). Mental health was assessed using the Strengths & Difficulties Questionnaire (SDQ) total difficulties, externalizing problems, and internalizing problems scores. The sociodemographic and health characteristics of the sample were described by mental health status (per the SDQ). The sociodemographic and health characteristics of the sample were described by mental health status (per the SDQ). Regression analyses were run to determine the association between growth trajectories and SDQ scores. There was no statistically significant association between increased growth (“rapidly accelerating” trajectory) and SDQ total difficulties (b=1.49[-3.82,6.81],p=0.58), externalizing problems (b=0.31[-3.29,3.91],p=0.86), or internalizing problems (b=1.18[-1.73,4.09],p=0.43). There was a significant association between decelerating growth and increased internalizing problems (b=0.69[0.07,1.31],p=0.03). Current results do not support an association between increased growth and poorer mental health overall in early- to mid-childhood; however, a pattern of decelerating growth may be associated with more internalizing problems. Understanding early risk factors for poor mental health may allow public health researchers to develop targeted interventions and ultimately improve mental health outcomes across the lifespan. Implications and future directions will be discussed.

Objective: Sugar-containing beverages (SCBs) including 100% fruit juice, fruit drinks and soda substantially contribute to total caloric intake in young children. The objective of this study was to examine whether consumption of SCB is associated with cardiometabolic risk (CMR) in preschool children, along with whether 100% fruit juice and sugar sweetened beverage (SSB) is associated with CMR. Study Design: We used a repeated measures study design examining SCB consumption and CMR outcomes measured concurrently in children 3–6 years of age participating in TARGet Kids!, a primary-care, practice-based research network in Canada (2008–2017). To account for within-person variability, multivariable linear regression models using generalized estimating equation was used to examine the association between SCB consumption and CMR score and the individual CMR score components including systolic blood pressure, waist circumference, high-density lipoprotein cholesterol (HDL-c), triglycerides, and glucose. Results: After adjusting for sociodemographic, familial and child-related covariates, higher SCB consumption was associated with elevated CMR score [0.05 (95% CI −0.0001 to 0.09), p = 0.05], including lower HDL-c [−0.02 mmol/L (95% CI −0.03 to −0.01), p = 0.01] and higher triglycerides [0.02 mmol/L (95% CI 0.004 to 0.04), p = 0.02]. When examined separately, higher 100% fruit juice [−0.02 mmol/L (95% CI −0.03 to −0.003), p = 0.02] and SSB[-0.03 mmol/L (95% CI −0.06 to −0.001), p = 0.04] consumption were each associated with lower HDL-c. Conclusion: Higher SCB consumption was associated with small elevations of CMR in preschool children. Our findings support recommendations to limit overall intake of SCBs in early childhood, in effort to reduce the potential long-term burden of CMR. Keywords: Sugar-sweetened beverages, 100% fruit juice, HDL-cholesterol, Triglycerides

The long-term cardiometabolic consequences of late preterm birth (34-36 weeks' gestation) are not well understood.To assess whether late preterm birth and size for gestational age are associated with cardiometabolic risk (CMR) in childhood.This retrospective cohort study included 1742 children born in Ontario, Canada, between April 1, 2006, and September 30, 2014, and followed up until September 30, 2019. Data from children enrolled in The Applied Research Group for Kids (TARGet Kids!) primary care practice-based research network were linked to administrative health care data at ICES (formerly known as the Institute for Clinical Evaluative Sciences). Participants were excluded if they had conditions affecting growth (eg, failure to thrive or cystic fibrosis), any acute or chronic conditions (other than asthma and high-functioning autism), severe developmental delay, or families who were unable to communicate in English.Late preterm birth, gestational age as a continuous measure, and size for gestational age.The primary outcome was composite CMR score (overall age- and sex-standardized z score of CMR components, including waist circumference, log triglyceride level, glucose level, systolic blood pressure, and high-density lipoprotein cholesterol level). Secondary outcomes were the individual CMR components. Multivariable linear regression analysis was used to separately evaluate the associations of late preterm birth, continuous gestational age, and size for gestational age with CMR at ages 3 to 12 years.Among 2440 eligible children, 1742 (mean [SD] age, 5.6 [2.2] years; 951 boys [54.6%]) were included in the final cohort. Overall, 87 children (5.0%) were born moderately preterm (34 weeks' gestation), 145 (8.3%) were born late preterm (34-36 weeks' gestation), 455 (26.1%) were born early term (37-38 weeks' gestation), and 1055 (60.6%) were born full term (≥39 weeks' gestation). Compared with children born full term, those born moderately preterm (adjusted β = 0.50; 95% CI, 0.24-0.75) and late preterm (adjusted β = 0.27; 95% CI, 0.06-0.47) had higher CMR scores. Each additional gestational week was associated with a 0.06 U (adjusted β; 95% CI, -0.08 to -0.03 U) decrease in CMR.In this study, children born late preterm and moderately preterm had higher CMR. These results suggest that screening and early-life interventions for these children may prevent cardiometabolic outcomes.

To determine if overweight or obesity in preschool-age children is associated with mental health service utilization in later childhood.Overall, 10,522 children 2 to5 years, with no previous history of mental health service utilization, were identified from primary care electronic medical records (EMRs) across Ontario, Canada.This was a retrospective longitudinal cohort study. Height and weight data were extracted and body mass index z-scores (zBMI) were calculated using the World Health Organization Growth Standards. Mental health service utilization, between ages 5 and19, was defined using administrative billing codes for mental health outpatient visits, emergency department visits, and hospitalizations. A multivariable Cox proportional hazards model was performed.In total, 74.9% of children were healthy weight (zBMI between -2 and ≤1), 18.8% of children were at risk of overweight (zBMI between 1 and ≤2), 4.9% were overweight (zBMI 2 and ≤3), and 1.5% had obesity (zBMI 3). The median follow-up time was 2.2 years (IQR 1.0-4.2). The overall incidence rate of mental health service use was 44.5 events per 1000 person-years. The hazard ratio for girls with obesity was 2.73 (95% CI 1.62-4.60; p 0.001) compared to girls with healthy weight. Compared to boys with healthy weight, boys 'at risk of overweight' and overweight were 1.22 (95% CI 1.03-1.44; p = 0.02) and 1.43 (95% CI 1.09-1.87; p = 0.01) times at higher risk of an incident mental health visit.Our study shows an association between weight status in preschool school aged children and higher incidence of mental health service use in later childhood. This relationship was strongest in girls. Future research is needed to understand this relationship by mental health diagnosis, sex, and age.

BACKGROUND: Cardiometabolic risk (CMR) in young children has been measured using various approaches, including a continuous summary score that incorporates components such as adiposity, lipids, metabolic factors and blood pressure. OBJECTIVES: The objective of this study was to comprehensively review definitions of continuous CMR scores in children

Background Little is known about nutrition outcomes in preschoolers associated with breastfeeding duration beyond 12 mo of age. Objective The aim was to examine the association between total breastfeeding duration and nutrition outcomes at 3 to 5 y of age. Design A cross-sectional study in healthy children, ages 3-5 y, recruited from 9 primary care practices in Toronto was conducted through the TARGet Kids! (The Applied Research Group for Kids) research network. Parents completed standardized surveys, including the Nutrition Screening for Every Preschooler (NutriSTEP) used to assess nutrition risk. Results A total of 2987 children were included. Ninety-two percent of children were breastfed, and the mean ± SD breastfeeding duration was 11.4 ± 8.4 mo. The prevalence of nutrition risk (score >20) was 17.0%. We examined breastfeeding duration as a continuous variable. With the use of restricted cubic spline modeling, we confirmed a nonlinear relation between breastfeeding duration and NutriSTEP score, dietary intake and eating behavior subscores, and sugar-sweetened beverage and sweet-savory snack consumption. Segmented linear regression was used to examine this nonlinear relation in a piecewise approach. We found a decreasing trend in NutriSTEP score for children who were breastfed for 0-6 mo (β = -0.14; 95% CI: -0.29, 0.004), a significant decrease in NutriSTEP score for children breastfed for 6-12 mo (β = -0.20; 95% CI: -0.33, -0.07), and no significant change after 12 mo (β = 0.09; 95% CI: -0.07, 0.24) and beyond. The mean ± SD NutriSTEP scores were 17.1 ± 7.4 for no breastfeeding, 15.9 ± 6.5 for breastfeeding >0-6 mo, 13.9 ± 6.2 for >6-12 mo, 13.7 ± 6.3 for >12-18 mo, 14.6 ± 6.7 for >18-24 mo, and 14.3 ± 6.8 for >24-36 mo. Conclusions Breastfeeding for ≤12 mo was associated with decreased nutrition risk and healthier eating behaviors and dietary intake at 3-5 y of age. We found insufficient evidence of additional benefit for breastfeeding beyond 12 mo of age. The TARGet Kids! practice-based research network is registered at www.clinicaltrials.gov as NCT01869530.

Background. Social determinants of health impact child illness. Currently, no instrument exists to identify social need during hospital admission. Methods. Using the UCLA (University of California Los Angeles)-RAND appropriateness method, consensus was reached for an instrument to identify social need in hospitalized children. A panel of 11 experts reviewed candidate indicators through 3 rounds to reach consensus. The instrument then underwent usability testing. Results. Three hundred and forty-seven indicators from the literature were sorted into 18 social risk themes. After 3 rounds, consensus was reached on 82 indicators. Six additional social risk themes were recommended by the panel, resulting in consensus for 18 additional indicators. Final refinement resulted in an instrument containing 86 indicators representing 11 social risk themes. Usability testing identified that the tool was well received by families. Final feedback was incorporated into a post-usability instrument. Conclusions. Using the UCLA-RAND appropriateness method, a new pediatric social risk instrument was created to identify social need for hospitalized children.

BACKGROUND Asthma is the most common chronic illness of childhood and a common reason for hospital admission. Studies suggest that low vitamin D levels may be associated with health service utilization (HSU) for childhood asthma. The primary objective was to determine if vitamin D serum levels in early childhood were associated with HSU for asthma including: a) hospital admissions; b) emergency department visits; and c) outpatient sick visits. Secondary objectives were to determine whether vitamin D supplementation in pregnancy or childhood were associated with HSU for asthma. METHODS Prospective cohort study of children participating in the TARGet Kids! practice-based research network between 2008 and 2013 in Toronto, Canada. HSU was determined by linking each child's provincial health insurance number to health administrative databases. Multivariable quasi-Poisson and logistic regression were used to evaluate the association between 25-hydroxyvitamin D concentrations, vitamin D supplementation in pregnancy, and childhood and HSU for asthma. RESULTS A total of 2926 healthy children aged 0-6 years had 25-hydroxyvitamin D data available and were included in the primary analysis. Mean (IQR) 25-hydroxyvitmain D level was 84 nmol/L (65-98 nmol/L), 218 and 1267 children had 25-hydroxyvitamin D concentrations

Objective Outdoor free play is important for preschoolers' physical activity, health, and development. Certain temperamental characteristics are associated with obesity, nutrition, and sedentary behaviors in preschoolers, but the relationship between temperament and outdoor play has not been examined. This study examined whether there is an association between temperament and outdoor play in young children. Methods Healthy children aged 1 to 5 years recruited to The Applied Research Group for Kids (TARGet Kids!), a community-based primary care research network, from July 2008 to September 2013 were included. Parent-reported child temperament was assessed using the Childhood Behavior Questionnaire. Outdoor free play and other potential confounding variables were assessed through validated questionnaires. Multivariable linear regression was used to determine the association between temperament and outdoor play, adjusted for potential confounders. Results There were 3393 children with data on outdoor play. The association between negative affectivity and outdoor play was moderated by sex; in boys, for every 1-point increase in negative affectivity score, mean outdoor play decreased by 4.7 minutes per day. There was no significant association in girls. Surgency was associated with outdoor play; for every 1-point increase in surgency/extraversion, outdoor play increased by 4.6 minutes per day. Conclusions Young children's temperamental characteristics were associated with their participation in outdoor free play. Consideration of temperament could enhance interventions and strategies to increase outdoor play in young children. Longitudinal studies are needed to elucidate the relationship between children's early temperament and physical activity.

Background Accelerated postnatal growth is an important predictor for obesity risk. It is unknown whether early-life obesity-related risk factors affect body mass index (BMI) growth rates during distinct growth periods from early infancy through preschool years. Objective We examined whether breastfeeding duration, maternal BMI, and birth weight are associated with growth trajectories of age- and sex-standardized WHO BMI z scores (zBMIs) in young children. Design Children (n = 5905) in The Applied Research Group for Kids (TARGet Kids!) prospective cohort study underwent repeated measures of weight and length or height from birth to 10 y of age. Piecewise linear mixed models were used to determine whether zBMI growth rates differ for each risk factor during periods of growth between birth and 1, 3, 18, 36, and 72 mo of age. Results Children who were breastfed