Literature DB >> 25644352

The development of a diet quality score for preschool children and its validation and determinants in the Generation R Study.

Trudy Voortman1, Jessica C Kiefte-de Jong2, Anouk Geelen3, Eduardo Villamor4, Henriëtte A Moll5, Johan C de Jongste5, Hein Raat6, Albert Hofman2, Vincent W V Jaddoe7, Oscar H Franco2, Edith H van den Hooven2.   

Abstract

BACKGROUND: Although many studies have examined health effects of infant feeding, studies on diet quality shortly after the weaning and lactation period are scarce.
OBJECTIVES: Our aims were to develop and evaluate a diet score that measures overall diet quality in preschool children and to examine the sociodemographic and lifestyle determinants of this score.
METHODS: On the basis of national and international dietary guidelines for young children, we developed a diet score containing 10 components: intake of vegetables; fruit; bread and cereals; rice, pasta, potatoes, and legumes; dairy; meat and eggs; fish; oils and fats; candy and snacks; and sugar-sweetened beverages. The total score ranged from 0 to 10 on a continuous scale and was standardized to an energy intake of 1200 kcal/d with the residual method. The score was evaluated in 3629 children participating in the Generation R Study, a population-based prospective cohort study. Food consumption was assessed with a food-frequency questionnaire (FFQ) at a median age of 13 mo.
RESULTS: The mean ± SD diet score was 4.1 ± 1.3. The food-based diet score was positively associated with intakes of many nutrients, including n-3 (ω-3) fatty acids [FAs; 0.25 SD increase (95% CI: 0.22, 0.27) per 1 point increase in the diet score], dietary fiber [0.32 (95% CI: 0.30, 0.34)], and calcium [0.13 (95% CI: 0.11, 0.16)], and was inversely associated with intakes of sugars [-0.28 (95% CI: -0.31, -0.26)] and saturated fat [-0.03 (95% CI: -0.05, -0.01)]. A higher diet score was associated with several health-conscious behaviors, such as maternal folic acid supplement use during pregnancy, no smoking during pregnancy, and children watching less television.
CONCLUSION: We developed a novel food-based diet score for preschool children that could be applied in future studies to compare diet quality in early childhood and to investigate associations between diet in early childhood and growth, health, and development.
© 2015 American Society for Nutrition.

Entities:  

Keywords:  birth cohort; diet index; dietary pattern; healthy diet; infants; predictors; preschoolers; sociodemographic determinants; toddlers; validation

Mesh:

Substances:

Year:  2014        PMID: 25644352     DOI: 10.3945/jn.114.199349

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  23 in total

1.  Dietary patterns of Australian pre-schoolers and associations with haem and non-haem iron intakes.

Authors:  Linda A Atkins; Sarah A McNaughton; Alison C Spence; Ewa A Szymlek-Gay
Journal:  Eur J Nutr       Date:  2021-01-23       Impact factor: 5.614

2.  Breastfeeding and Childhood Dental Caries: Results from a Socially Diverse Birth Cohort Study.

Authors:  Agatha W van Meijeren-van Lunteren; Trudy Voortman; Marlies E C Elfrink; Eppo B Wolvius; Lea Kragt
Journal:  Caries Res       Date:  2021-03-11       Impact factor: 4.056

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.  Protein intake in early childhood and body composition at the age of 6 years: The Generation R Study.

Authors:  T Voortman; K V E Braun; J C Kiefte-de Jong; V W V Jaddoe; O H Franco; E H van den Hooven
Journal:  Int J Obes (Lond)       Date:  2016-02-15       Impact factor: 5.095

5.  Maternal plasma PUFA concentrations during pregnancy and childhood adiposity: the Generation R Study.

Authors:  Aleksandra Jelena Vidakovic; Olta Gishti; Trudy Voortman; Janine F Felix; Michelle A Williams; Albert Hofman; Hans Demmelmair; Berthold Koletzko; Henning Tiemeier; Vincent W V Jaddoe; Romy Gaillard
Journal:  Am J Clin Nutr       Date:  2016-02-24       Impact factor: 7.045

Review 6.  Methodological Aspects of Diet Quality Indicators in Childhood: A Mapping Review.

Authors:  Ángela Hernández-Ruiz; Liza Alejandra Díaz-Jereda; Casandra Madrigal; María José Soto-Méndez; Anneleen Kuijsten; Ángel Gil
Journal:  Adv Nutr       Date:  2021-12-01       Impact factor: 11.567

7.  Protein intake in infancy and kidney size and function at the age of 6 years: The Generation R Study.

Authors:  Trudy Voortman; Hanneke Bakker; Sanaz Sedaghat; Jessica C Kiefte-de Jong; Albert Hofman; Vincent W V Jaddoe; Oscar H Franco; Edith H van den Hooven
Journal:  Pediatr Nephrol       Date:  2015-05-09       Impact factor: 3.714

8.  Sugar-containing beverage intake at the age of 1 year and cardiometabolic health at the age of 6 years: the Generation R Study.

Authors:  Elisabeth T M Leermakers; Janine F Felix; Vincent W V Jaddoe; Hein Raat; Oscar H Franco; Jessica C Kiefte-de Jong
Journal:  Int J Behav Nutr Phys Act       Date:  2015-09-17       Impact factor: 6.457

Review 9.  Infant nutrition and lifelong health: current perspectives and future challenges.

Authors:  S M Robinson
Journal:  J Dev Orig Health Dis       Date:  2015-06-19       Impact factor: 2.401

10.  Longitudinal association between preschool fussy eating and body composition at 6 years of age: The Generation R Study.

Authors:  Lisanne M de Barse; Henning Tiemeier; Elisabeth T M Leermakers; Trudy Voortman; Vincent W V Jaddoe; Lisa R Edelson; Oscar H Franco; Pauline W Jansen
Journal:  Int J Behav Nutr Phys Act       Date:  2015-12-14       Impact factor: 6.457

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