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The Cardiometabolic Risk Profile of Underreporters of Energy Intake Differs from That of Adequate Reporters among Children at Risk of Obesity.
Suissa, Karine; Benedetti, Andrea; Henderson, Mélanie; Gray-Donald, Katherine; Paradis, Gilles.
Afiliação
  • Suissa K; Epidemiology, Biostatistics, and Occupational Health McGill University, Montreal, Quebec, Canada.
  • Benedetti A; Epidemiology, Biostatistics, and Occupational Health McGill University, Montreal, Quebec, Canada.
  • Henderson M; Medicine, McGill University, Montreal, Quebec, Canada.
  • Gray-Donald K; Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada.
  • Paradis G; Research Center of Centre Hospitalier Universitaire Sainte-Justine, Montreal, Quebec, Canada.
J Nutr ; 149(1): 123-130, 2019 01 01.
Article em En | MEDLINE | ID: mdl-30602028
ABSTRACT

Background:

Misreporting of energy intake (EI) in nutritional epidemiology is a concern because of information bias, and tends to occur differentially in obese compared with nonobese subjects.

Objective:

We examined characteristics of misreporters within a cohort of children with a parental history of obesity and the bias introduced by underreporting.

Methods:

The QUebec Adipose and Lifestyle InvesTigation in Youth (QUALITY) cohort included 630 Caucasian children aged 8-10 y at recruitment with ≥1 obese parent [body mass index (BMI; in kg/m2) >30 or waist circumference >102 cm (men), >88 cm (women)] and free of diabetes or severe illness. Children on antihypertensive medications or following a restricted diet were excluded. Child and parent characteristics were measured directly or by questionnaire. Three 24-h dietary recalls were administered by phone by a dietitian. Goldberg's cutoff method identified underreporters (URs). Logistic regression identified correlates of URs. We compared coefficients from linear regressions of BMI after 2 y on total EI at baseline 1) in all participants; 2) in adequate reporters (ARs) (excluding URs); 3) in all participants statistically adjusted for underreporting; 4) excluding URs using individual physical activity level (PAL)-specific cutoffs; and 5) in all participants statistically adjusted for underreporting using PAL-specific cutoffs.

Results:

We identified 175 URs based on a calculated cutoff of 1.11. URs were older, had a higher BMI z score, and had poorer cardiometabolic health indicators. Parents of URs had a lower family income and higher BMI. Child BMI z score (OR 3.07; 95% CI 2.38, 3.97) and age (OR 1.46/y; 95% CI 1.14, 1.87/y) were the strongest correlates of underreporting. The association between BMI and total EI was null in all participants but became significantly positive after excluding URs (ß = 0.62/1000 kcal; 95% CI 0.33, 0.92/1000 kcal) and after adjustment for URs (ß = 0.85/1000 kcal; 95% CI 0.55, 1.06/1000 kcal).

Conclusions:

URs in 8- to 10-y-old children differed from ARs. Underreporting biases measurement of nutritional exposures and the assessment of exposure-outcome relations. Identifying URs and using an appropriate correction method is essential.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Doenças Cardiovasculares / Registros de Dieta / Obesidade Infantil Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Doenças Cardiovasculares / Registros de Dieta / Obesidade Infantil Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article