Literature DB >> 26322657

Preschool-Adapted Liking Survey (PALS): A Brief and Valid Method To Assess Dietary Quality of Preschoolers.

Mastaneh Sharafi1, Heather Peracchio2, Stephanie Scarmo3, Tania B Huedo-Medina1, Susan T Mayne4, Brenda Cartmel4, Valerie B Duffy1.   

Abstract

BACKGROUND: Feasible, valid, and reliable tools are needed to assess dietary quality among preschoolers. We aimed to test construct-/criterion-related validity and reliability of a dietary quality index generated from a liking survey and novel dietary patterns for characterizing food hedonism and parental feeding practices.
METHODS: Participants included 416 economically disadvantaged, diverse preschoolers (41% overweight/obese) from educational centers and their parents. Parents completed liking and frequency surveys; the liking survey took half as long to complete. Preschoolers' skin carotenoid status (measured by Resonance Raman spectroscopy) and BMI percentile (measured weight/height) were assessed. The Healthy Eating Preference Index (HEPI) was constructed from weighted averages of liking scores for food groups and healthy variety score and Healthy Eating Index 2010 (HEI) from nutrient analysis of the frequency survey.
RESULTS: The HEPI was normally distributed and showed construct validity and adequate internal reliability. In hierarchical regression analyses, the HEPI explained carotenoid status and adiposity as alternative or value-added predictors to HEI, supporting criterion-related validity of HEPI. Parental reporting of children's liking of high-fat/sweet/salty foods in excess of pleasurable activities (food hedonism) predicted heavier preschoolers, as did discord between HEI and HEPI (potential parental pressure toward healthy eating). HEPI alone or with HEI explained variability in carotenoid status and adiposity in path models with adequate to good fits.
CONCLUSIONS: With simple collection and processing, the liking survey can generate a valid/reliable dietary quality index in child care settings to identify preschoolers at risk for lower nutritional status. Using liking and frequency-based screeners could improve understanding of parental feeding behaviors and precision of predicting nutritional status.

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Mesh:

Year:  2015        PMID: 26322657     DOI: 10.1089/chi.2015.0037

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


  12 in total

1.  Type of milk typically consumed, and stated preference, but not health consciousness affect revealed preferences for fat in milk.

Authors:  Alyssa J Bakke; Catherine V Shehan; John E Hayes
Journal:  Food Qual Prefer       Date:  2016-04-01       Impact factor: 5.565

Review 2.  A Genome-Wide Association Study in isolated populations reveals new genes associated to common food likings.

Authors:  Nicola Pirastu; Maarten Kooyman; Michela Traglia; Antonietta Robino; Sara M Willems; Giorgio Pistis; Najaf Amin; Cinzia Sala; Lennart C Karssen; Cornelia Van Duijn; Daniela Toniolo; Paolo Gasparini
Journal:  Rev Endocr Metab Disord       Date:  2016-06       Impact factor: 6.514

3.  Diet quality indices and their associations with health-related outcomes in children and adolescents: an updated systematic review.

Authors:  Phoebe Dalwood; Skye Marshall; Tracy L Burrows; Ashleigh McIntosh; Clare E Collins
Journal:  Nutr J       Date:  2020-10-24       Impact factor: 3.271

4.  Characterizing and improving the sensory and hedonic responses to polyphenol-rich aronia berry juice.

Authors:  Valerie B Duffy; Shristi Rawal; Jeeha Park; Mark H Brand; Mastaneh Sharafi; Bradley W Bolling
Journal:  Appetite       Date:  2016-07-22       Impact factor: 3.868

5.  Dietary behaviors of adults born prematurely may explain future risk for cardiovascular disease.

Authors:  Mastaneh Sharafi; Valerie B Duffy; Robin J Miller; Suzy B Winchester; Tania B Huedo-Medina; Mary C Sullivan
Journal:  Appetite       Date:  2016-01-12       Impact factor: 3.868

6.  Pediatric Adapted Liking Survey: A Novel, Feasible and Reliable Dietary Screening in Clinical Practice.

Authors:  Sharon R Smith; Stephanie T Johnson; Samantha M Oldman; Valerie B Duffy
Journal:  Caries Res       Date:  2018-08-08       Impact factor: 4.056

7.  Influence of biological, experiential and psychological factors in wine preference segmentation.

Authors:  Gary J Pickering; John E Hayes
Journal:  Aust J Grape Wine Res       Date:  2017-01-31       Impact factor: 2.688

Review 8.  Oral sensory nerve damage: Causes and consequences.

Authors:  Derek J Snyder; Linda M Bartoshuk
Journal:  Rev Endocr Metab Disord       Date:  2016-06       Impact factor: 6.514

9.  Online Behavioral Screener with Tailored Obesity Prevention Messages: Application to a Pediatric Clinical Setting.

Authors:  Sarah Chau; Samantha Oldman; Sharon R Smith; Carolyn A Lin; Saba Ali; Valerie B Duffy
Journal:  Nutrients       Date:  2021-01-14       Impact factor: 5.717

10.  Food Liking-Based Diet Quality Indexes (DQI) Generated by Conceptual and Machine Learning Explained Variability in Cardiometabolic Risk Factors in Young Adults.

Authors:  Ran Xu; Bruce E Blanchard; Jeanne M McCaffrey; Stephen Woolley; Lauren M L Corso; Valerie B Duffy
Journal:  Nutrients       Date:  2020-03-25       Impact factor: 5.717

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