Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item Frequent Use of Baby Food Pouches in Infants and Young Children and Associations with Energy Intake and BMI: An Observational Study.(MDPI (Basel, Switzerland), 2024-09-19) McLean NH; Bruckner BR; Heath A-LM; Haszard JJ; Daniels L; Conlon CA; von Hurst PR; Beck KL; Te Morenga LA; Firestone R; McArthur J; Paul R; Cox AM; Jones EA; Katiforis I; Brown KJ; Casale M; Jupiterwala RM; Rowan MM; Wei A; Fangupo LJ; Healey M; Pulu V; Neha T; Taylor RW; Fernandez M-LOBJECTIVE: Most wet commercial infant foods are now sold in squeezable 'pouches'. While multiple expert groups have expressed concern about their use, it is not known how commonly they are consumed and whether they impact energy intake or body mass index (BMI). The objectives were to describe pouch use, and determine associations with energy intake and BMI, in infants and young children. METHODS: In this observational cross-sectional study of 933 young New Zealand children (6.0 months-3.9 years), pouch use was assessed by a questionnaire ('frequent' use was consuming food from a baby food pouch ≥5 times/week in the past month), usual energy intake using two 24-h recalls, and BMI z-score calculated using World Health Organization standards. RESULTS: The sample broadly represented the wider population (27.1% high socioeconomic deprivation, 22.5% Māori). Frequent pouch use declined with age (infants 27%, toddlers 16%, preschoolers 8%). Few children were both frequent pouch users and regularly used the nozzle (infants 5%, toddlers 13%, preschoolers 8%). Preschoolers who were frequent pouch users consumed significantly less energy than non-users (-580 kJ [-1094, -67]), but infants (115 [-35, 265]) and toddlers (-206 [-789, 378]) did not appear to have a different energy intake than non-users. There were no statistically significant differences in the BMI z-score by pouch use. CONCLUSIONS: These results do not support the strong concerns expressed about their use, particularly given the lack of evidence for higher energy intake or BMI.Item Recent Developments in the Assessment of Nutrition Knowledge in Athletes(Springer Science+Business Media, LLC, 2022-06) Tam R; Gifford JA; Beck KLPurpose of Review Adequate nutrition knowledge may influence dietary behaviour, and the performance and health of athletes. Assessment of the nutrition knowledge of athletes can inform practice and provide a quantitative way to evaluate education interventions. This article aims to review nutrition knowledge questionnaires published in the last 5 years to identify advances, possible improvements in questionnaire development and design, and challenges that remain. Recent Findings Twelve new or modified questionnaires were identified. All had undergone validity and reliability testing. Advancements included quantitative measures of content validity and Rasch analysis. Online questionnaires were common, with at least seven using this format. Advances included use of images (n=2), automated scored feedback (n=1), and use of applied questions. Summary While advancements have been made in validation and reliability testing and electronic delivery, new questionnaires would benefit from interactive and attractive features including images, provision of electronic feedback, and applied questions.Item Relative Validity and Reproducibility of a Semi-Quantitative Food Frequency Questionnaire for Determining Nutrient Intake in Older Adults in New Zealand: The REACH Study(MDPI (Basel, Switzerland), 2022-02) Yu AD; Mumme KD; Conlon CA; von Hurst PR; Gillies N; Heath A-L; Coad J; Beck KL; Smith GIDietary intake is an important predictor of health and disease outcomes. This cross-sectional study evaluated the relative validity and reproducibility of a semi-quantitative food frequency questionnaire (FFQ) for assessing energy and nutrient intake in older adults. Dietary data were collected 2018-2019 in Auckland, New Zealand from a convenience sample of community-dwelling adults (65-74 years, n = 294, 37% male) using a 109-item self-administered FFQ at baseline (FFQ1) and four weeks later to assess reproducibility. FFQ1 was compared to a four-day food record to determine relative validity. Agreement between dietary assessment tools was assessed for both raw and energy-adjusted nutrient intakes using paired t-tests, correlation coefficients, weighted kappa statistic, Bland-Altman plots, and linear regression analysis. Energy adjustments moderately improved the relative validity and reproducibility for most nutrients. For energy and energy-adjusted nutrient intakes, the mean correlation coefficients were 0.38 (validity) and 0.65 (reproducibility); the mean weighted kappa statistics were 0.27 (validity) and 0.51 (reproducibility). A significant slope of bias was present in 54% (validity) and 25% (reproducibility) of Bland-Altman plots. The Researching Eating, Activity, and Cognitive Health (REACH) FFQ has acceptable relative validity and good reproducibility for ranking nutrient intakes in older New Zealand adults, but is less suitable for assessing absolute nutrient intakes.Item Evaluating a novel dietary diversity questionnaire to assess dietary diversity and adequacy of New Zealand women.(Elsevier Inc, 2021) Kruger R; Hepburn AJ; Beck KL; McNaughton S; Stonehouse WObjectives We sought to develop and evaluate the relative validity of a dietary diversity questionnaire (DDQ) that reflects food-group diversity, food variety, and micronutrient adequacy among New Zealand women. Methods A cross-sectional study included New Zealand women (Auckland based; ages 16–45 y, n = 101), completing a 7-d DDQ and 4-d weighed food record (reference method). The relative validity of the DDQ was evaluated by correlating nutritious and discretionary dietary diversity scores (DDSs; number of food groups) and food-variety scores (number of foods), calculated from both methods. The dietary mean adequacy ratio (MAR; micronutrient intakes relative to estimated average requirements) was calculated from the weighed food record and correlated to dietary diversity and food-variety scores from the DDQ to assess construct validity. Cross-tabulation was used to explore dietary diversity measures versus adequacy ratios. Significance was set at P < 0.05. Results The median (interquartile range) DDSs (maximum 25) from the DDQ—23 (21–23)—and the weighed food record—18 (17–19)—were significantly correlated (rs = 0.33, P < 0.001), as were the food-variety scores (maximum 237)—respectively, 75 (61–87) and 45 (37–52) (rs = 0.22, P < 0.03). A mean (± SD) MAR of 0.94 ± 0.04 suggested a near-adequate diet, but one-third of foods consumed were from discretionary sources. Nutritious DDS was significantly correlated with MAR for micronutrients (rs = 0.20, P ≤ 0.05). An inverse trend was observed between discretionary DDS and MAR. Conclusions The DDQ is a quick, low-burden tool for describing nutritious and discretionary dietary diversity reflecting micronutrient adequacy in high-income settings. It requires further validation across different time frames, population groups, and settings.