OBJECTIVES: To examine the associations among UPF intake, anthropometric adiposity indicators, and obesity status in Canadian children.
DESIGN, SETTING, AND PARTICIPANTS: In the CHILD Cohort Study, one of the largest prospective, multicenter, population-based pregnancy cohorts in Canada, diet was assessed during the 3-year visit (September 2011 to June 2016), and anthropometric measurements were assessed at the 5-year visit (December 2013 to April 2018). Data analysis was performed between July 1, 2023, and June 30, 2024.
EXPOSURE: Diet intake was assessed using a semiquantitative food frequency questionnaire at 3 years of age. UPFs were identified using the NOVA classification system.
MAIN OUTCOMES AND MEASURES: Anthropometric adiposity indicators were measured at 5 years of age and used to calculate age- and sex-standardized z scores for body mass index (BMI), waist to height ratio, and subscapular and triceps skinfold thicknesses, and obesity, which was defined using BMI z score cutoffs. Multivariable-adjusted regression analyses were used to examine the associations of UPF with adiposity and obesity development, accounting for parental, birth, and early-childhood factors.
RESULTS: Among 2217 participants included in this study, median age at the outcome assessment was 5.0 (IQR, 5.0-5.1) years, and 1175 (53.0%) were males. At 3 years of age, UPF contributed 45.0% of total daily energy intake. UPF energy contribution was higher in males vs females (46.0% vs 43.9%; P
OBJECTIVE: We aimed to collectively define contributions and distinct characteristics of respiratory phenotypes based on longitudinal wheeze and atopic sensitization patterns in the first 5 years of life.
METHODS: Group-based trajectory analysis was performed in the CHILD Cohort Study to identify distinct wheeze and allergic sensitization trajectories. Trajectories were evaluated for associated risk factors, health care utilization, biologic determinants, and clinical outcomes. Stool samples for shotgun metagenomic sequencing profiles of infant microbiomes collected at ages 3 months and 1 year were assessed for phenotype-specific biomarkers.
RESULTS: A total of 6 distinct respiratory phenotypes were identified on the basis of samples from 2902 children; the phenotypes differed by temporal wheeze and allergic sensitization patterns. Although allergic wheeze phenotypes (found in 11.6% of participants) carried the highest risk of asthma diagnosis, the more common nonallergic phenotypes (in 88.3% of participants) contributed to the majority of 5-year asthma diagnoses (61.4% of diagnoses). Most importantly, nonallergic phenotypes accounted for more than two-thirds of health care utilization in this age group. Phenotypes differed by lung function, blood eosinophil counts, allergic comorbidities, and weight-for-age z score. Moreover, microbiome profiles developed from 1439 infants revealed that largely nonoverlapping microbial signatures at age 1 year are associated with each phenotype.
CONCLUSION: We identified novel early-childhood respiratory phenotypes to disentangle nonoverlapping paths to preschool wheezing. Our findings highlight the continued clinical relevance of nonatopic wheeze phenotypes, which remain undertreated despite accounting for a substantial proportion of health care utilization and asthma diagnoses.