Food parenting and Children's eating behaviour: Exploring the role of coparenting.

Parents have primary influence over the development of their children's eating behaviours, however less attention has been given to whether or how their coparenting plays a role in this association. The aim of this study was to investigate the cross-sectional associations between mothers' and fathers' food parenting practices and children's eating behaviour and examine whether coparenting quality moderates or confounds these associations. Parents (222 mothers and 167 fathers) with children 18 months to 5 years completed an online survey that assessed their food parenting practices and coparenting quality. One parent per family (91% mothers) also reported their children's food approach behaviours. We used linear regressions with generalized estimating equations to examine the associations between food parenting practices and children's eating behaviours. To explore moderation by coparenting quality, we included an interaction term in each model (coparenting quality x food parenting practice). To explore confounding, models were adjusted for coparenting quality. All models were stratified by parent gender and included parent educational attainment, child age, and child BMI z-scores as covariates. Among both mothers and fathers, we found that structure and autonomy support food parenting practices were inversely associated with children's food responsiveness, and desire to drink, while coercive control practices were positively associated with these food approach behaviours. We found the opposite direction of association between these food parenting practices and children's enjoyment of food. Among mothers, autonomy support was inversely associated with children's emotional overeating, while coercive control was positively associated with this eating behaviour. Coparenting quality did not moderate or confound the associations. Future studies should continue to explore these associations among families with young children and consider feeding coparenting in the association.

Parental Cooking Confidence is Associated with Children's Intake of Fish and Seafood.

Purpose: Fish and seafood consumption by North American children is low. This is concerning, given the critical role of n-3 polyunsaturated fatty acids (eicosapentaenoic acid and docosahexaenoic acid), found in fish and seafood, in early development. This study aimed to determine whether parental factors related to fish and seafood consumption are associated with frequency of fish and seafood consumption in Canadian children.Methods: A subgroup of parents (n = 28) participating in the Guelph Family Health Study Pilot reported their perceptions and history of fish and seafood consumption, confidence in preparing fish and seafood dishes, and the frequency of intake for their children (n = 40).Results: This study found that 20% of children consumed one serving of saltwater fish, freshwater fish, or shellfish weekly and 63% consumed at least one type of fish or seafood monthly. Parental cooking confidence preparing fish and seafood was positively associated with at least monthly fish and seafood intake in children.Conclusions: These findings suggest that some children may have low intakes of fish and seafood due to a lack of parental cooking confidence when preparing fish and seafood dishes. Therefore, future research and interventions focused on addressing this barrier may aid in improving fish and seafood intake.

Dietary Sugar and Anthropometrics among Young Children in the Guelph Family Health Study: Longitudinal Associations.

Purpose: Our understanding of the influence of sugar intake on anthropometrics among young children is limited. Most existing research is cross-sectional and has focused on sugar-sweetened beverages. The study objective was to investigate longitudinal associations between young children's total, free, and added sugar intake from all food sources at baseline with anthropometric measures at baseline and 18 months.Methods: The Guelph Family Health Study (GFHS) is an ongoing randomized controlled trial and a family-based health promotion study. Food records and anthropometric data were collected at baseline (n = 109, 55 males; 3.7 ± 1.1 y, mean ± SD) and 18 months (n = 109, 55 males; 5.1 ± 1.1 y) of the GFHS pilots. Associations between sugar intakes and anthropometrics were estimated using linear regression models with generalized estimating equations adjusted for age, sex, household income, and intervention status.Results: Total sugar intake was inversely associated with body weight at 18 months (P = 0.01). There was no effect of time on any other associations between total, free, and added sugar intakes and anthropometrics.Conclusions: Early life dietary sugar intakes may not relate to anthropometric measures in the short term. Further investigation into potential associations between dietary sugar intakes and anthropometric variables over longer time periods is warranted.

Cheese Intake is Inversely Associated with LDL Cholesterol in Young Children.

Purpose: To determine if intake (servings/day) of total dairy and/or dairy subtypes (milk, cheese, and yogurt) were associated with biomarkers related to dyslipidemia, insulin sensitivity and inflammation in a sample of cardio-metabolically healthy young children from the Guelph Family Health Study at the University of Guelph, Guelph, Ontario, Canada.Methods: Baseline data from 42 children (aged 2.0-6.2 years) from 33 families who provided a dietary assessment and a fasted blood sample were included in this cross-sectional analysis. Linear and logistic regressions using generalized estimating equations were used for analysis and models were adjusted for age, gender, and household income.Results: In total, 42 children (3.74 ± 1.23 years old; mean (± SD)) consumed median (25th percentile, 75th percentile) servings/day of 1.70 (1.16, 2.81) for total dairy, 0.74 (0.50, 1.70) for milk, 0.63 (0.00, 1.16) for cheese, and 0.00 (0.00, 0.38) for yogurt. Cheese intake was significantly inversely associated with LDL cholesterol (-0.16 (95% CI: -0.29, -0.03) mmol/L per serving; P = 0.02)). No other associations between dairy intake and biomarkers were significant.Conclusions: Cheese intake was inversely associated with LDL cholesterol in this preliminary study of cardio-metabolically healthy young children, thereby warranting further research on dairy intake and cardiometabolic risk factors.

Association between diet quality and food waste in Canadian families: a cross-sectional study.

BACKGROUND: Higher diet quality has been associated with greater amounts of food waste among adults in the United States. This study aims to build on previous work by examining the association between diet quality and food waste, as assessed using detailed waste audits, among a sample of Canadian families. METHODS: This cross-sectional study used data from 85 Canadian families with young children. Parent and children diet quality was assessed using the Healthy Eating Index-2015 (HEI-2015), calculated from 3-day food records. Household food waste was measured using detailed waste audits conducted over multiple weeks and these data were used to calculate daily per capita food waste. Linear regression was used to explore the association between parent and child HEI-2015 scores and daily per capita total avoidable and unavoidable food waste, as well as daily per capita avoidable and unavoidable food waste in the following categories: 1) fruits and vegetables, 2) milk, cheese and eggs, 3) meat and fish, 4) breads and cereals, 5) fats and sugars. RESULTS: Parent HEI-2015 scores ranged from 37 to 92 (out of 100) and 81% of parents' diets scored in the "Needs Improvement (51-80)" category. Parent and child diet quality scores were significantly correlated (r = 0.61; P < 0.0001) and 82% of children's diets scored in the "Needs Improvement" category. On average, households produced 107 g of avoidable food waste and 52 g of unavoidable food waste per person per day. Fruits and vegetables were the highest contributor for both avoidable and unavoidable food waste. Both parent and child HEI-2015 scores were not significantly associated with total daily per capita avoidable or unavoidable food waste. However, parent HEI-2015 scores were positively associated with daily per capita avoidable fruit and vegetable waste (Unstandardized ß = 1.05; 95%CI: 0.11, 1.99; P = 0.03) and daily per capita unavoidable fruit and vegetable waste (Unstandardized ß = 0.60; 95%CI: 0.03, 1.17; P = 0.04), after adjusting for household income. CONCLUSION: This is the first study to explore the association between diet quality and food waste using detailed waste audits. Future research should explore effective strategies towards improving diet quality while simultaneously reducing food waste, especially of fruits and vegetables.

Associations between Family Meal Context and Diet Quality among Preschool-Aged Children in the Guelph Family Health Study.

Purpose: To explore the associations between family meal context and overall diet quality of Canadian preschool-aged children. Methods: Cross-sectional analysis of 95 preschool-aged children from 72 families. Measures about health behaviours and the family meal environment were drawn from selected questionnaire items. Three-day food records for children were assessed using the Healthy Eating Index 2010 (HEI-2010). Linear regression was used to explore the associations between the family meal variables and children's HEI-2010 scores. Results: In analyses adjusted for child age, sex, and household income, child involvement in meal preparation (ß = 4.34; 95% CI: 0.56-8.12) and time spent preparing the evening meal (ß = 3.77; 95% CI: 0.42-7.12) were associated with higher HEI-2010 scores. Serving fast food (ß = -2.90; 95% CI: -4.79 to -1.02) and using screen-based devices during meals (ß = -3.80; 95% CI: -7.38 to -0.21) were associated with lower HEI-2010 scores. Family meal frequency and serving prepared foods, sugar-sweetened beverages, and vegetables at meals were not significantly associated with preschoolers' diet quality. Conclusions: The context in which family meals take place influences child diet quality. Taking the time to include children in family meal preparation may benefit children's dietary intake.

Dairy and Plant-Based Dairy Alternatives Purchasing Habits of Guelph-Based Families with Preschool-Aged Children.

Purpose: To investigate dairy and plant-based dairy alternatives (DPBDA) purchasing habits, including comparisons among locations of purchase and among subtypes of DPBDA, of families with preschool-aged children.Methods: Expenditures on food and DPBDA were calculated using grocery and food receipts collected for 3 weeks from 51 households in and around Guelph, Ontario, Canada. DPBDA were coded by subtypes (alternatives, cheese/yogurt, cow's milk, cream, and ice cream/other) and by locations of purchase, which were coded as big-box, discount, high-end, local/other, and midrange stores. Logistic regression using generalized estimating equations was used to investigate odds of purchasing DPBDA by location of purchase. All models included family income and number of children as potential confounders.Results: Ninety-eight percent of families purchased cheese/yogurt, 92% purchased cow's milk, and 35% of families purchased plant-based dairy alternatives. Families were more likely to purchase DPBDA from big-box stores than discount, midrange, or local/other stores (P < 0.01) and were more likely to purchase cheese/yogurt than dairy alternatives, cream, or ice cream/other subtypes (P < 0.01). Odds of purchasing were not different between cheese/yogurt and cow's milk.Conclusion: Families' DPBDA purchasing habits differ by purchase location and subtype. Further research is warranted to understand the factors affecting these purchasing habits.

Taste Sensitivity and Taste Preference Measures Are Correlated in Healthy Young Adults.

Taste is fundamentally important for food selection. Although measures of taste sensitivity and preference have been refined over several decades, it remains largely unknown how these measures relate to each other and to food preferences. The objectives of this study were to examine, in healthy adults (age 24.6 ± 0.6 years, n = 49), 1) correlations among measures of taste sensitivity, including detection threshold (DT) and suprathreshold sensitivity (ST), and taste preference (PR) within sweet, salt, sour, umami, and [...] fat tastes; and 2) underlying associations [...] among DT, ST, and PR measurements using principal component analysis. DTs and STs were negatively correlated within each taste modality. Salt, sweet, and umami DTs and STs were positively and negatively correlated with PRs, respectively. No correlations were observed between sour and fat DTs, STs, and PRs. Two principal components accounted for 41.9% of the variance and produced 3 clear clusters consisting of DTs, STs, or PRs from each taste modality. Sweet PR and fat ST deviated from the clusters and may, therefore, be driven by different factors. No associations were observed between measured PR and ST with self-reported food PRs. Overall, this study provides evidence that higher sensitivities only to salt, sweet, or umami taste are associated with a decrease in the PR for these tastes. These findings demonstrate the importance of investigating taste sensitivity together with PR to gain a more complete understanding of the determinants of food selection.

Exponential decay for binary time-varying covariates in Cox models.

Cox models are commonly used in the analysis of time to event data. One advantage of Cox models is the ability to include time-varying covariates, often a binary covariate that codes for the occurrence of an event that affects an individual subject. A common assumption in this case is that the effect of the event on the outcome of interest is constant and permanent for each subject. In this paper, we propose a modification to the Cox model to allow the influence of an event to exponentially decay over time. Methods for generating data using the inverse cumulative density function for the proposed model are developed. Likelihood ratio tests and AIC are investigated as methods for comparing the proposed model to the commonly used permanent exposure model. A simulation study is performed, and 3 different data sets are presented as examples.

Guelph Family Health Study's Home-Based Obesity Prevention Intervention Increases Fibre and Fruit Intake in Preschool-Aged Children.

PURPOSE: The Guelph Family Health Study (GFHS) pilot was designed to examine the feasibility and effectiveness of a home-based obesity prevention intervention on health behaviours and obesity risk. The objective of this analysis was to determine the effect of the 6-month intervention on preschool-aged children's dietary intakes. METHODS: Families with children aged 1.5-5 years old were randomized to receive one of the following: 4 home visits with a health educator as well as tailored emails and mailed incentives (4HV; n = 19 children); 2 home visits with a health educator as well as tailored emails and mailed incentives (2HV; n = 14 children); or general health advice through emails (control; n = 12 children). Three-day food records were completed by parents for their children before and after the 6-month intervention and analyzed for 3-day average intakes of energy, nutrients, and MyPlate food groups. RESULTS: After the 6-month intervention, the 4HV group had significantly higher fibre intake and the 4HV and 2HV groups had significantly higher fruit intake, both compared with the control group. CONCLUSIONS: This study provides support for a home-based intervention approach to improve the diet quality of preschool-aged children.

A comparison of confidence interval methods for the intraclass correlation coefficient in community-based cluster randomization trials with a binary outcome.

BACKGROUND: Many investigators rely on previously published point estimates of the intraclass correlation coefficient rather than on their associated confidence intervals to determine the required size of a newly planned cluster randomized trial. Although confidence interval methods for the intraclass correlation coefficient that can be applied to community-based trials have been developed for a continuous outcome variable, fewer methods exist for a binary outcome variable. The aim of this study is to evaluate confidence interval methods for the intraclass correlation coefficient applied to binary outcomes in community intervention trials enrolling a small number of large clusters. Existing methods for confidence interval construction are examined and compared to a new ad hoc approach based on dividing clusters into a large number of smaller sub-clusters and subsequently applying existing methods to the resulting data. METHODS: Monte Carlo simulation is used to assess the width and coverage of confidence intervals for the intraclass correlation coefficient based on Smith's large sample approximation of the standard error of the one-way analysis of variance estimator, an inverted modified Wald test for the Fleiss-Cuzick estimator, and intervals constructed using a bootstrap-t applied to a variance-stabilizing transformation of the intraclass correlation coefficient estimate. In addition, a new approach is applied in which clusters are randomly divided into a large number of smaller sub-clusters with the same methods applied to these data (with the exception of the bootstrap-t interval, which assumes large cluster sizes). These methods are also applied to a cluster randomized trial on adolescent tobacco use for illustration. RESULTS: When applied to a binary outcome variable in a small number of large clusters, existing confidence interval methods for the intraclass correlation coefficient provide poor coverage. However, confidence intervals constructed using the new approach combined with Smith's method provide nominal or close to nominal coverage when the intraclass correlation coefficient is small (<0.05), as is the case in most community intervention trials. CONCLUSION: This study concludes that when a binary outcome variable is measured in a small number of large clusters, confidence intervals for the intraclass correlation coefficient may be constructed by dividing existing clusters into sub-clusters (e.g. groups of 5) and using Smith's method. The resulting confidence intervals provide nominal or close to nominal coverage across a wide range of parameters when the intraclass correlation coefficient is small (<0.05). Application of this method should provide investigators with a better understanding of the uncertainty associated with a point estimator of the intraclass correlation coefficient used for determining the sample size needed for a newly designed community-based trial.

Examining the influence of a text message-based sleep and physical activity intervention among young adult smokers in the United States.

BACKGROUND: Sleep and physical activity are two health behaviors associated with improved smoking cessation outcomes. Text message-based interventions have previously been used to promote physical activity and smoking cessation; however, this type of intervention has not targeted sleep habits. This study examined the effectiveness of a text message-based active control intervention in improving sleep and physical activity habits among a U.S. national sample of young adult smokers participating in a smoking cessation intervention. METHODS: This study was a secondary analysis of data from the Stop My Smoking USA randomized controlled trial. Baseline and 3-month follow-up data were collected from 116 young adult smokers (mean age 21.8 years, SD = 2.1) who were randomized at a 2:1 ratio to receive a 6-week text messaging program focused on either smoking cessation (n = 72), or improving sleep and physical activity (n = 44). Three main outcomes were assessed: 1) sleep quantity (on work/school nights, and non-work/non-school nights), 2) sleep quality, and 3) physical activity at follow-up. Multivariable linear regression analysis was used to quantify the differences in these outcomes between the groups. To identify possible effect modification by baseline sleep and physical activity, the sample was stratified by indicators defined for both of these variables. RESULTS: At follow-up, sleep quantity and quality were similar for participants in the smoking cessation and sleep/activity groups when assessed among the total sample and those sleeping ≥6 hours/night at baseline. Among short sleepers (<6 hours/night at baseline), sleep quantity on work/school nights improved for those receiving sleep/activity messages compared to those receiving smoking cessation messages, after adjusting for covariates (^ß = 1.373, 95% CI [0.262, 2.484]; p = 0.02). Physical activity at follow-up was similar for the two groups, when examined among the total sample and when stratified by baseline activity level. CONCLUSIONS: This study provides preliminary evidence that a text message-based intervention may be a promising approach for improving sleep quantity among young adult smokers who are short sleepers and interested in quitting smoking. Similar programs should be further explored as a novel approach for improving sleep habits among individuals with insufficient sleep. TRIAL REGISTRATION: ClinicalTrials.gov NCT01516632.

Parenting stress: a cross-sectional analysis of associations with childhood obesity, physical activity, and TV viewing.

BACKGROUND: Parents influence their children's obesity risk through feeding behaviours and modeling of weight-related behaviours. Little is known about how the general home environment, including parental stress, may influence children's weight. The objective of this study was to explore the association between parenting stress and child body mass index (BMI) as well as obesity risk factors, physical activity and television (TV) viewing. METHODS: We used cross-sectional data from 110 parent-child dyads participating in a community-based parenting intervention. Child heights and weights were measured by trained research assistants. Parents (93% mothers) reported level of parenting stress via the Parenting Stress Index- Short Form (PSI-3-SF) as well as children's activity behaviours and TV viewing. This was an ethnically diverse (55% Hispanic/Latino, 22% Black), low-income (64% earning < $45,000/year) sample. RESULTS: Level of parenting stress was not associated with children's risk of being overweight/obese. Children with highly stressed parents were less likely to meet physical activity guidelines on weekdays than children with normally stressed parents (OR = 0.33, 95% CI, 0.12-0.95). Parents experiencing high stress were less likely to set limits on the amount of TV their children watched (OR = 0.32, 95% CI, 0.11, 0.93). CONCLUSION: Results suggest stress specific to parenting may not be associated with increased obesity risk among children. However, future interventions may need to address stress as a possible underlying factor associated with unhealthful behaviours among preschoolers.

The degree of food processing contributes to sugar intakes in families with preschool-aged children.

BACKGROUND AND AIMS: Evidence implicates ultra-processed food intake as a major contributor of excess dietary sugars. However, little research exists on the relationship between the degree of food processing and sugar intake in families with young children. We investigated associations between the degree of food processing and sugar intake (total and free sugars) in Canadian preschool-aged children and parents. METHODS: This cross-sectional study of 242 families included preschool-aged children (n = 267) and parents (n = 365) participating in the Guelph Family Health Study. Dietary intake was assessed via the web-based Automated Self-Administered 24-h Dietary Assessment Tool (ASA24-Canada-2016) and classified according to the NOVA Food Classification System including, unprocessed or minimally processed foods, processed culinary ingredients, processed foods and ultra-processed foods. Linear regression models with generalized estimating equations were used to examine associations between the energy contribution of each NOVA classification category and sugar intake (% kcal of total and free sugars). Pearson correlation coefficient estimates were used to assess dietary relationships between parents and children. RESULTS: Ultra-processed foods were the greatest source of energy (44.3%) and energy from total (8.7%) and free sugars (7.3%) in the parents' diets, and the greatest source of energy (41.3%) and energy from free sugars (7.6%) in the children's diet. Ultra-processed food intake was positively associated with sugar intake in parents (total sugars: B = 0.05, 95% CI: 0.02-0.09, p = 0.01; free sugars: B = 0.11, 95% CI: 0.08-0.15, p < 0.001) and children (total sugars: B = 0.10, 95% CI: 0.04-0.16, p = 0.001; free sugars: B = 0.16, 95% CI: 0.12-0.21, p < 0.001). Unprocessed or minimally processed food intake was negatively associated with free sugar intake in parents (B = -0.08, 95% CI: -0.12 to -0.05, p < 0.001) and children (B = -0.15, 95% CI: -0.19 to -0.10, p < 0.001). Weak correlations were found between parents and children for processed culinary ingredients and ultra-processed processed food intake (p < 0.001). CONCLUSIONS: This study highlights the associations between degree of food processing and sugar intake in parents and children, whereby ultra-processed foods were positively, and unprocessed or minimally processed foods were negatively, associated with sugar intake. These are important considerations in the development of policy and recommendations for foods to potentially promote or limit.

Free sugar intake from snacks and beverages in Canadian preschool- and toddler-aged children: a cross-sectional study.

BACKGROUND: Excess consumption of free sugar (FS) increases the risk of dental caries and unhealthy weight gain. However, the contribution of snacks and beverages to young children's FS intake is not well understood. The purpose of this study was to determine FS intake from snacks and beverages among preschool-aged Canadian children. METHODS: This cross-sectional study examined baseline data from 267 children 1.5 to 5 y enrolled in the Guelph Family Health Study. Dietary assessment was completed over a 24-h period using ASA24-Canada-2016 to, 1) estimate the proportion of children whose FS intake from snacks and beverages consumed exceeded 5% total energy intake (TE) and 10% TE, and 2) identify the top snack and beverage sources of FS. RESULTS: FS contributed 10.6 ± 6.9% TE (mean ± SD). 30 and 8% of children consumed ≥ 5% TE and ≥ 10% TE from snack FS, respectively. Furthermore, 17 and 7% of children consumed ≥ 5% TE and ≥ 10% TE from beverages FS, respectively. Snacks and beverages accounted for 49 ± 30.9% of FS energy. Top snack sources of FS (% children, children's %TE from FS) were bakery products (55%, 2.4%), candy and sweet condiments (21%, 3.0%), and sugar-containing beverages (20%, 4.1%). Top sugar-containing beverage sources of FS (48%, 5.3%) were 100% fruit juice (22%, 4.6%) and flavored milk (11%, 3.1%). CONCLUSIONS: Snacks and beverages contributed nearly half of FS intake among a sample of young children in Canada. Thus, long-term monitoring of snacking behavior and consumption of FS is warranted. These findings may help inform nutritional strategies and public policies to improve diet quality and FS intake in preschool-aged children. TRIAL REGISTRATION: The Clinical Trial Registry number is NCT02939261 from clinicaltrials.gov. Date of Registration: October 20, 2016.

Sugar Intake among Preschool-Aged Children in the Guelph Family Health Study: Associations with Sociodemographic Characteristics.

BACKGROUND: It is crucial to develop strategies targeted to promote healthy eating patterns in vulnerable populations, especially young children from diverse sociodemographic groups. Thus, the study objective was to investigate the associations between child age, child sex, child ethnicity, parent number of years living in Canada, annual household income, parent education and parent marital status with total, free and added sugar intakes in young children. METHODS: This cross-sectional study was a secondary analysis of data gathered in the Guelph Family Health Study. The study included 267 children (129M; 138F) from 210 families aged 1.5 to 5 years. Parents completed questionnaires for children on sociodemographic characteristics and an online 24-hour diet recall. The associations between sociodemographic characteristics and sugar intakes were determined using generalized estimating equations applied to linear regression models. RESULTS: The mean age of the children was 3.5 ± 1.2 years (mean ± std dev.). As children's age increased, there was a greater intake of free and added sugar (ß^ = 8.6, p = 0.01, 95% CI = 2.4 to 14.7 and ß^ = 6.5, p = 0.03, 95% CI = 0.8 to 12.2, respectively). Those children who identified as white had a higher total sugar intake than children of other ethnicities (ß^ = 31.0, p = 0.01, 95% CI = 7.2 to 54.7). Additionally, higher annual household income was associated with lower was free sugar intake in children (ß^ = -2.4, p = 0.02, 95% CI = -4.5 to -0.4). CONCLUSIONS: This study underscores the significant influence of multiple sociodemographic characteristics on sugar intake in young children, providing valuable insights for public health policy and nutrition interventions. Moreover, this study highlights the need for early behaviour interventions focusing on reducing sugar intake in young children, while considering sociodemographic factors.

The degree of food processing is associated with anthropometric measures of obesity in Canadian families with preschool-aged children.

Adopting a healthy diet remains central for the prevention of obesity. In adults, higher intake of ultra-processed food is associated with a greater risk of overweight and obesity. However, little is known about the degree of food processing and its association with anthropometric measures in families with preschool-aged children, a critical period for the development of dietary patterns. This cross-sectional study included preschool-aged children (n = 267) between 1.5 and 5 years of age and their parents (n = 365) from 242 families enrolled in the Guelph Family Health Study. Dietary assessment was completed using ASA24-Canada-2016. Foods and beverages were classified based on their degree of food processing using the NOVA Classification (unprocessed or minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods). Associations between the energy contribution (% kcal) of each NOVA category and anthropometric measures were examined using linear regression models with generalized estimating equations, adjusted for sociodemographic variables. The energy contribution of ultra-processed foods was the highest relative to the other NOVA categories among parents (44.3%) and children (41.3%). The energy contribution of unprocessed or minimally processed foods was 29.1% for parents and 35.3% for children, processed foods was 24.0% for parents and 21.3% for children, and processed culinary ingredients was 2.6% for parents and 2.1% for children. Ultra-processed foods (% kcal) were positively associated with BMI (ß = 0.04, 95% CI: 0.01-0.07, P = 0.02), waist circumference (ß = 0.11, 95% CI: 0.03-0.18, P = 0.008) and body weight (ß = 0.13, 95% CI: 0.03-0.22, P = 0.01) in parents, but not children. Unprocessed foods (% kcal) were negatively associated with waist circumference in parents (ß = -0.09, 95% CI: 0.18-0.01, P = 0.03) and children (ß = -0.03, 95% CI: 0.05-0.01, P = 0.01), as well as body weight (ß = -0.12, 95% CI: 0.23-0.00, P = 0.04) in parents. The degree of food processing primarily influenced anthropometric outcomes in parents. Nevertheless, diets of children were similar, suggesting that such exposure in families may eventually lead to outcomes observed in parents.

Non-Nutritive Sweetener Intake Is Low in Preschool-Aged Children in the Guelph Family Health Pilot Study.

There is limited research on the intake of non-nutritive sweeteners (NNS) among preschool-aged children. Canada's Food Guide suggests limiting intake of NNS for all population groups and Health Canada recommends that young children (<2 years) avoid consuming beverages containing NNS. The aim of this study was to investigate the frequency and type of non-nutritive sweetener (NNS) intake in preschool-aged children participating in the Guelph Family Health Study pilots. Parents (n = 78 families) completed 3-day food records (n = 112 children; n = 55 females, n = 57 males; 3.6 years ± 1.3). Nineteen children (17%) reported consumption of foods or beverages containing NNS. Food sources with NNS included: freezies, oral nutritional supplements, flavored water, carbonated drinks, sugar free jam and protein powder. The majority of NNS contained in these foods were identified as stevia leaf extract, acesulfame K, sucralose, monk fruit extract and aspartame. Future research should continue to study NNS intake patterns longitudinally in children and examine the association of NNS intake with diet quality and health outcomes.

Intakes of PUFA are low in preschool-aged children in the Guelph Family Health Study pilot cohort.

This study investigated intakes of total, n-3, and n-6 polyunsaturated fatty acids (PUFA) in 109 preschool-aged children who participated in the Guelph Family Health Study pilot. Intakes of total, n-3, and n-6 PUFA did not meet recommendations. This study highlights the need for additional monitoring and potential interventions to improve PUFA intake in preschool-aged children. Clinical Trial #NCT02223234. Novelty: Canadian preschool-aged children are not consuming enough n-3 and n-6 PUFA.

A competing risks model for correlated data based on the subdistribution hazard.

Family-based follow-up study designs are important in epidemiology as they enable investigations of disease aggregation within families. Such studies are subject to methodological complications since data may include multiple endpoints as well as intra-family correlation. The methods herein are developed for the analysis of age of onset with multiple disease types for family-based follow-up studies. The proposed model expresses the marginalized frailty model in terms of the subdistribution hazards (SDH). As with Pipper and Martinussen's (Scand J Stat 30:509-521, 2003) model, the proposed multivariate SDH model yields marginal interpretations of the regression coefficients while allowing the correlation structure to be specified by a frailty term. Further, the proposed model allows for a direct investigation of the covariate effects on the cumulative incidence function since the SDH is modeled rather than the cause specific hazard. A simulation study suggests that the proposed model generally offers improved performance in terms of bias and efficiency when a sufficient number of events is observed. The proposed model also offers type I error rates close to nominal. The method is applied to a family-based study of breast cancer when death in absence of breast cancer is considered a competing risk.