Epidemiology, Biostatistics, and Occupational Health McGill University, Montreal, Quebec, Canada.
Medicine, McGill University, Montreal, Quebec, Canada.
J Nutr. 2019 Jan 1;149(1):123-130. doi: 10.1093/jn/nxy209.
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.
We examined characteristics of misreporters within a cohort of children with a parental history of obesity and the bias introduced by underreporting.
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.
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).
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.
营养流行病学中能量摄入(EI)的错误报告是一个关注点,因为存在信息偏倚,而且肥胖人群比非肥胖人群更容易出现这种情况。
我们研究了一个具有肥胖父母病史的儿童队列中错误报告者的特征,以及低报引起的偏差。
魁北克青少年脂肪和生活方式调查(QUALITY)队列纳入了 630 名 8-10 岁的白种人儿童,他们的父母中有至少 1 人肥胖(BMI [kg/m2]>30 或腰围>102cm(男性),>88cm(女性)),且没有糖尿病或严重疾病。正在服用降压药物或遵循限制饮食的儿童被排除在外。儿童和家长的特征通过直接测量或问卷调查来获取。营养师通过电话进行了 3 次 24 小时膳食回忆。Goldberg 的截断法确定了低报者(URs)。逻辑回归确定了 URs 的相关因素。我们比较了以下情况下 BMI 的线性回归系数:2 年后的 BMI )1)所有参与者;2)充分报告者(ARs)(不包括 URs);3)所有参与者根据低报进行统计调整;4)使用个体体力活动水平(PAL)特定截断值排除 URs;5)所有参与者根据 PAL 特定截断值进行统计调整。
我们根据计算的截断值 1.11 确定了 175 名 URs。URs 的年龄较大,BMI z 评分较高,且心血管代谢健康指标较差。URs 的父母家庭收入较低,BMI 较高。儿童 BMI z 评分(OR:3.07;95%CI:2.38,3.97)和年龄(OR:1.46/y;95%CI:1.14,1.87/y)是低报的最强相关因素。所有参与者中 BMI 与总 EI 之间的关联为零,但在排除 URs 后(ß=0.62/1000kcal;95%CI:0.33,0.92/1000kcal)和在调整 URs 后(ß=0.85/1000kcal;95%CI:0.55,1.06/1000kcal),这种关联变为显著正相关。
8-10 岁儿童中的 URs 与 ARs 不同。低报会偏倚营养暴露的测量和暴露-结果关系的评估。识别 URs 并使用适当的校正方法至关重要。