Literature DB >> 22863030

Prevalence and determinants of misreporting among European children in proxy-reported 24 h dietary recalls.

C Börnhorst1, I Huybrechts, W Ahrens, G Eiben, N Michels, V Pala, D Molnár, P Russo, G Barba, S Bel-Serrat, L A Moreno, S Papoutsou, T Veidebaum, H-M Loit, L Lissner, I Pigeot.   

Abstract

Dietary assessment is strongly affected by misreporting (both under- and over-reporting), which results in measurement error. Knowledge about misreporting is essential to correctly interpret potentially biased associations between diet and health outcomes. In young children, dietary data mainly rely on proxy respondents but little is known about determinants of misreporting here. The present analysis was conducted within the framework of the multi-centre IDEFICS (Identification and prevention of dietary- and lifestyle-induced health effects in children and infants) study and is based on 6101 children aged 2-9 years with 24 h dietary recall (24-HDR) and complete covariate information. Adapted Goldberg cut-offs were applied to classify the 24-HDR as 'over-report', 'plausible report' or 'under-report'. Backward elimination in the course of multi-level logistic regression analyses was conducted to identify factors significantly related to under- and over-reporting. Next to characteristics of the children and parents, social factors and parental concerns/perceptions concerning their child's weight status were considered. Further selective misreporting was addressed, investigating food group intakes commonly perceived as more or less socially desirable. Proportions of under-, plausible and over-reports were 8.0, 88.6 and 3.4 %, respectively. The risk of under-reporting increased with age (OR 1.19, 95 % CI 1.05, 1.83), BMI z-score of the child (OR 1.23, 95 % CI 1.10, 1.37) and household size (OR 1.12, 95 % CI 1.01, 1.25), and was higher in low/medium income groups (OR 1.45, 95 % CI 1.13, 1.86). Over-reporting was negatively associated with BMI z-scores of the child (OR 0.78, 95 % CI 0.69, 0.88) and higher in girls (OR 1.70, 95 % CI 1.27, 2.28). Further social desirability and parental concerns/perceptions seemed to influence the reporting behaviour. Future studies should involve these determinants of misreporting when investigating diet-disease relationships in children to correct for the differential reporting bias.

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Year:  2012        PMID: 22863030     DOI: 10.1017/S0007114512003194

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  46 in total

1.  Where are kids getting their empty calories? Stores, schools, and fast-food restaurants each played an important role in empty calorie intake among US children during 2009-2010.

Authors:  Jennifer M Poti; Meghan M Slining; Barry M Popkin
Journal:  J Acad Nutr Diet       Date:  2013-11-05       Impact factor: 4.910

2.  Usual energy and macronutrient intakes in 2-9-year-old European children.

Authors:  C Börnhorst; I Huybrechts; A Hebestreit; V Krogh; A De Decker; G Barba; L A Moreno; L Lissner; M Tornaritis; H-M Loit; D Molnár; I Pigeot
Journal:  Int J Obes (Lond)       Date:  2014-09       Impact factor: 5.095

3.  Dietary sources of free sugars in the diet of European children: the IDEFICS Study.

Authors:  María Isabel Mesana Graffe; V Pala; S De Henauw; G Eiben; C Hadjigeorgiou; L Iacoviello; T Intemann; H Jilani; D Molnar; P Russo; T Veidebaum; L A Moreno
Journal:  Eur J Nutr       Date:  2019-04-04       Impact factor: 5.614

4.  Comparative Study of a New Dietary Screener to Assess Food Groups of Concern in Children.

Authors:  Rachel Bleiweiss-Sande; Sarah Kranz; Peter Bakun; Lindsay Tanskey; Catherine Wright; Jennifer Sacheck
Journal:  Food Nutr Bull       Date:  2017-09-25       Impact factor: 2.069

5.  Determinants of Sugar-Sweetened Beverage Consumption among Low-Income Children: Are There Differences by Race/Ethnicity, Age, and Sex?

Authors:  Natasha Tasevska; Derek DeLia; Cori Lorts; Michael Yedidia; Punam Ohri-Vachaspati
Journal:  J Acad Nutr Diet       Date:  2017-05-08       Impact factor: 4.910

6.  Dietary energy density in young children across Europe.

Authors:  A Hebestreit; C Börnhorst; V Pala; G Barba; G Eiben; T Veidebaum; C Hadjigergiou; D Molnár; M Claessens; J M Fernández-Alvira; I Pigeot
Journal:  Int J Obes (Lond)       Date:  2014-09       Impact factor: 5.095

7.  The impact of familial, behavioural and psychosocial factors on the SES gradient for childhood overweight in Europe. A longitudinal study.

Authors:  K Bammann; W Gwozdz; C Pischke; G Eiben; J M Fernandez-Alvira; S De Henauw; L Lissner; L A Moreno; Y Pitsiladis; L Reisch; T Veidebaum; I Pigeot
Journal:  Int J Obes (Lond)       Date:  2016-08-16       Impact factor: 5.095

8.  Greater access to healthy food outlets in the home and school environment is associated with better dietary quality in young children.

Authors:  Millie Barrett; Sarah Crozier; Daniel Lewis; Keith Godfrey; Sian Robinson; Cyrus Cooper; Hazel Inskip; Janis Baird; Christina Vogel
Journal:  Public Health Nutr       Date:  2017-08-31       Impact factor: 4.022

9.  Adherence to a Mediterranean-like dietary pattern in children from eight European countries. The IDEFICS study.

Authors:  G Tognon; L A Moreno; T Mouratidou; T Veidebaum; D Molnár; P Russo; A Siani; Y Akhandaf; V Krogh; M Tornaritis; C Börnhorst; A Hebestreit; I Pigeot; L Lissner
Journal:  Int J Obes (Lond)       Date:  2014-09       Impact factor: 5.095

10.  Trends in intakes and sources of solid fats and added sugars among U.S. children and adolescents: 1994-2010.

Authors:  M M Slining; B M Popkin
Journal:  Pediatr Obes       Date:  2013-04-02       Impact factor: 4.000

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