Fourth-Grade Children's Reporting Accuracy for Amounts Eaten at School-Provided Meals: Insight from a Reporting-Error-Sensitive Analytic Approach Applied to Validation Study Data.
Fourth-Grade Children's Reporting Accuracy for Amounts Eaten at School-Provided Meals: Insight from a Reporting-Error-Sensitive Analytic Approach Applied to Validation Study Data.
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DOI：
10.1016/j.jand.2016.08.013
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发表时间：
2016-12
影响因子：
4.8
通讯作者：
Guinn, Caroline H.
中科院分区：
文献类型：
--
作者：
Baxter, Suzanne D.;Hitchcock, David B.;Royer, Julie A.;Smith, Albert F.;Guinn, Caroline H.
直接评估食用量报告准确性的验证研究以各种方式提供了结果。分析报告错误敏感方法的数量类别，以了解有关报告食用量的准确性。在一项横断面验证研究中，研究人员观察了孩子们吃学校提供的早餐和午餐的情况，并将他们随机分配到八种24小时回忆条件中的一种（两个保留间隔[短;长]与四个提示[向前;餐名;打开;反向]交叉）。在三个学年（2011-2012年至2013-2014年）收集的数据来自美国南部一个州的十所学校（四个区）的455名儿童。项目被分类为匹配[观察到和报告]，遗漏[观察到但未报告]或入侵[未观察到但报告]。在数量类别（匹配[对应，多报，少报]，侵入[多报]，遗漏[少报]）中，项目数量转换为千卡。用食物水平解释变量（数量类别、膳食）和儿童水平解释变量（保留间隔、提示、性别、种族/民族）拟合多水平模型。三个对比的t检验研究了不准确性差异。不准确性因金额类别而异（P<0.001;最大到最小-遗漏、侵入、低报匹配、高报匹配），（P=0.01;早餐时较大），保留间期（P=0.003;长期较大），性别（P=0.004;男孩较大）、人种/种族（P=0.045;非西班牙裔白人最大）和数量类别-×-膳食相互作用（P=0.046）。入侵的过度报告量大于过度报告的匹配（P<0.0001）。漏报的数量大于漏报的匹配（P<0.0001）。总体漏报量（来自遗漏和漏报匹配）超过总体多报量（来自侵入和多报匹配）（P<0.003）。数量类别提供了一种标准的方法来分析验证研究数据报告的准确性吃，并比较研究结果。多层次的分析模型，反映数据结构的推理建议。为了提高报告食用量的准确性，重点是增加正确项目的报告，从而产生更多的匹配，减少入侵和遗漏。
Validation studies that have directly assessed reporting accuracy for amounts eaten have provided results in various ways. To analyze amount categories of a reporting-error-sensitive approach for insight concerning reporting accuracy for amounts eaten. For a cross-sectional validation study, children were observed eating school-provided breakfast and lunch, and randomized to one of eight 24-hour recall conditions (two retention intervals [short; long] crossed with four prompts [forward; meal-name; open; reverse]). Data collected during three school years (2011–2012 to 2013–2014) on 455 children from ten schools (four districts) in a southern USA state. Items were classified as matches [observed and reported], omissions [observed but unreported], or intrusions [unobserved but reported]. Within amount categories (matches [corresponding, over-reported, under-reported], intrusions [over-reported], omissions [under-reported]), item-amounts were converted to kilocalories. A multilevel model was fit with food-level explanatory variables (amount category, meal) and child-level explanatory variables (retention interval, prompt, sex, race/ethnicity). T-tests on three contrasts investigated inaccuracy differences. Inaccuracy differed by amount category (P<0.001; largest to smallest—omission, intrusion, under-reported match, over-reported match), meal (P=0.01; larger for breakfast), retention interval (P=0.003; larger for long), sex (P=0.004; larger for boys), race/ethnicity (P=0.045; largest for non-Hispanic Whites), and amount category-×-meal interaction (P=0.046). Over-reported amounts were larger for intrusions than over-reported matches (P<0.0001). Under-reported amounts were larger for omissions than under-reported matches (P<0.0001). Overall under-reported amounts (from omissions and under-reported matches) exceeded overall over-reported amounts (from intrusions and over-reported matches) (P<0.003). Amount categories provide a standard way to analyze validation-study data on reporting accuracy for amounts eaten, and compare results across studies. Multilevel analytic models reflecting the data structure are recommended for inference. To enhance reporting accuracy for amounts eaten, focus on increasing reports of correct items, thereby yielding more matches with fewer intrusions and omissions.
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影响因子：
2.6
作者：
Baxter, Suzanne D.;Hitchcock, David B.;Dowda, Marsha
通讯作者：
Dowda, Marsha
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
DOI：
10.1016/s0002-8223(02)90088-x
发表时间：
2002-03-01
影响因子：
--
作者：
Baranowski, T;Islam, N;de Moor, C
通讯作者：
de Moor, C
影响因子：
2.6
作者：
Baxter, SD;Thompson, WO;Shaffer, NM
通讯作者：
Shaffer, NM
影响因子：
5.1
作者：
Baxter, SD;Thompson, WO;Shaffer, NM
通讯作者：
Shaffer, NM