Literature DB >> 23181922

Characterizing dinner meals served and consumed by low-income preschool children.

Theresa A Nicklas1, Carol E O'Neil, Janice E Stuff, Sheryl O Hughes, Yan Liu.   

Abstract

BACKGROUND: A dinner meal is consumed by approximately 95% of preschool children, yet few studies have characterized the dinner meal within a broader environmental context. The primary goal of this study was to identify the average quantities of foods served and consumed at the dinner meal by preschool children. A secondary goal was to look at factors that influenced the total amounts of food and energy consumed among preschoolers at the dinner meal.
METHOD: Food intake at a family dinner meal was measured using digital photography in African-American and Hispanic-American preschool children (n = 231). Pictorial records were converted to gram and energy estimates of food served and consumed; grams were converted to kilocalories for each food using Nutrition Data System for Research (NDSR) nutritional software. Foods were categorized by groups/subgroups. Comparison of means and coefficient of variation was examined overall and by food groups for food grams (and energy) served, consumed, and wasted. The relationship of mother/child characteristics to amounts served and consumed were analyzed by regression and analysis of variance (ANOVA).
RESULTS: Plate waste was high; 30% of the foods served to the child at the dinner meal were not consumed. The amounts of food and beverage served and consumed varied within and among the food groups studied. The proportion of children served a major food group at the dinner meal varied considerably: 44% fruit/juice, 97% vegetables, 99% grains, 97% meats, 74% dairy, 66% sweetened beverages, 92% fat and oils, and 40% sweets and sugars. The amount of food served was positively associated with the amount consumed (p < 0.0001). Energy density of the dinner meal was positively associated with energy intake consumed (p < 0.0001).
CONCLUSIONS: Plate waste and variation in amounts served and consumed was substantial. The amount of food served was positively associated with the amount of food consumed by preschool children.

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Mesh:

Year:  2012        PMID: 23181922     DOI: 10.1089/chi.2011.0114

Source DB:  PubMed          Journal:  Child Obes        ISSN: 2153-2168            Impact factor:   2.992


  7 in total

1.  HEROs: Design of a Mixed-Methods Formative Research Phase for an Ecocultural Intervention to Promote Healthy Eating and Activity Behaviors in Rural Families With Preschoolers.

Authors:  Laura L Bellows; Morgan McCloskey; Lauren Clark; Darcy A Thompson; Traci A Bekelman; Barbara Chamberlin; Susan L Johnson
Journal:  J Nutr Educ Behav       Date:  2018-04-10       Impact factor: 3.045

Review 2.  Review of the validity and feasibility of image-assisted methods for dietary assessment.

Authors:  Christoph Höchsmann; Corby K Martin
Journal:  Int J Obes (Lond)       Date:  2020-10-08       Impact factor: 5.095

3.  Assessing dinner meals offered at home among preschoolers from low-income families with the Remote Food Photography Method.

Authors:  Traci A Bekelman; Laura L Bellows; Morgan L McCloskey; Corby K Martin; Susan L Johnson
Journal:  Pediatr Obes       Date:  2019-07-25       Impact factor: 4.000

4.  Beyond Nutrient Intake: Use of Digital Food Photography Methodology to Examine Family Dinnertime.

Authors:  Morgan L McCloskey; Susan L Johnson; Traci A Bekelman; Corby K Martin; Laura L Bellows
Journal:  J Nutr Educ Behav       Date:  2019-02-28       Impact factor: 3.045

5.  Dietary Quality of Preschoolers' Sack Lunches as Measured by the Healthy Eating Index.

Authors:  Maria Jose Romo-Palafox; Nalini Ranjit; Sara J Sweitzer; Cindy Roberts-Gray; Deanna M Hoelscher; Courtney E Byrd-Williams; Margaret E Briley
Journal:  J Acad Nutr Diet       Date:  2015-07-17       Impact factor: 4.910

6.  A Qualitative Analysis of the Remote Food Photography Method and the Automated Self-Administered 24-hour Dietary Assessment Tool for Assessing Children's Food Intake Reported by Parent Proxy.

Authors:  Traci A Bekelman; Susan L Johnson; Rachel I Steinberg; Corby K Martin; Katherine A Sauder; Sophie Luckett-Cole; Deborah H Glueck; Daniel S Hsia; Dana Dabelea
Journal:  J Acad Nutr Diet       Date:  2021-11-10       Impact factor: 5.234

Review 7.  Measuring food intake with digital photography.

Authors:  C K Martin; T Nicklas; B Gunturk; J B Correa; H R Allen; C Champagne
Journal:  J Hum Nutr Diet       Date:  2013-07-15       Impact factor: 3.089

  7 in total

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