ABSTRACT
Clinical prediction models provide risks of health outcomes that can inform patients and support medical decisions. However, most models never make it to actual implementation in practice. A commonly heard reason for this lack of implementation is that prediction models are often not externally validated. While we generally encourage external validation, we argue that an external validation is often neither sufficient nor required as an essential step before implementation. As such, any available external validation should not be perceived as a license for model implementation. We clarify this argument by discussing 3 common misconceptions about external validation. We argue that there is not one type of recommended validation design, not always a necessity for external validation, and sometimes a need for multiple external validations. The insights from this paper can help readers to consider, design, interpret, and appreciate external validation studies.
ABSTRACT
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.
Subject(s)
Non-Nutritive Sweeteners , Sweetening Agents , Canada , Child, Preschool , Family Health , Female , Humans , Male , Non-Nutritive Sweeteners/administration & dosage , Pilot ProjectsABSTRACT
BACKGROUND: Excessive intake of sugar in young children is a public health concern. Our study objectives were to examine intakes of total, free and added sugar among preschool-aged children and to investigate their associations with body weight, body mass index Z-scores, percent fat mass and waist circumference. METHODS: The cross-sectional cohort study included preschool-aged children between 1.5 and 5 years of age, enrolled in pilot studies of the Guelph Family Health Study, Guelph, Ontario, from 2014 to 2016. Daily intake of total sugar was determined using a food processor software; daily intakes of free and added sugar, and food sources were determined through manual inspection of 3-day food records. Anthropometric measures were completed by trained research staff. We used linear regression models with generalized estimating equations to estimate associations between sugar intakes and anthropometric measures. RESULTS: We included 109 children (55 girls and 54 boys) in 77 families. Mean daily intakes were 86 (standard deviation [SD] 26) g for total sugar, 31 (SD 15) g for free sugar and 26 (SD 13) g for added sugar. Of participants, 80% (n = 87) had intakes of free sugar greater than 5% of their daily energy intake. The most frequent food sources of free and added sugar were bakery products. A weak inverse association between free sugar intake (kcal/1000 kcal) and waist circumference (cm) (ß = -0.02, 95% confidence interval -0.04 to -0.0009) was found, but no significant associations were noted between sugar intake and other anthropometric measures. INTERPRETATION: Most of the preschool-aged children in this study had free sugar intakes greater than current recommendations; overall, their total, free and added sugar intakes were not associated with the anthropometric measures. This study can be used to inform policy development for sugar intake in young children and apprise early intervention programs.
