Underreporting of Food Intake among Mexican/Mexican-American Women: Rates and Correlates
Underreporting of Food Intake among Mexican/Mexican-American Women: Rates and Correlates
复制标题
DOI：
10.1016/j.jada.2008.12.013
复制
发表时间：
2009-04-01
影响因子：
--
通讯作者：
Elder, John P.
中科院分区：
文献类型：
--
作者：
Bothwell, Elizabeth K. G.;Ayala, Guadalupe X.;Elder, John P.
背景报道不足是指那些报告的饮食摄入量水平在生物学上是不可信的，因为他们的生理状态和体力活动水平。少报食物摄入量威胁到膳食评估的有效性；然而，对墨西哥/墨西哥裔美国人社区中漏报的发生率或相关性知之甚少。目的使用基于重复24小时回忆和Goldberg方程的饮食数据来检验墨西哥/墨西哥裔美国女性的漏报比率及其相关性。通过结构化访谈和人体测量，对作为更大规模随机对照试验一部分收集的基线数据进行横断面研究。研究对象/背景：居住在美国/墨西哥边境附近圣地亚哥南部的357名墨西哥/墨西哥裔美国女性，年龄从21岁到67岁不等。对年龄、收入水平、教育水平和体重状况进行统计分析，在非西班牙裔白人参与者的样本中，所有漏报的相关因素都被作为墨西哥/墨西哥裔美国女性漏报的潜在相关性进行了二元Logistic回归分析。对文化适应进行了检查，以确定它是否解释了漏报的额外差异。结果五种检测方法的漏检率从11.9%(n=42)到81.3%(n=286)不等。在所有五种漏报检测方法中，肥胖体重状况是唯一显著的相关性，并且在最终模型中仍然显著。通过向后逐步回归，最终的模型显示体重状况与超重时的漏报显著相关(P
Background Under-reporters are those individuals who report a dietary intake level that is not biologically plausible given their physiological status and physical activity level. Underreporting of food intake threatens the validity of dietary assessment; yet, little is known about the prevalence or correlates of underreporting in the Mexican/Mexican-American community.Objective To examine underreporting rates and correlates among Mexican/Mexican-American women using dietary data based-on repeated 24-hour recalls and the Goldberg equation.Design Cross-sectional study of baseline data collected as part of a larger randomized controlled trial through structured interviews and anthropometric measurements.Subjects/setting A random sample of 357 Mexican/MexicanAmerican women, ranging in age from 21 to 67 years, living in south San Diego near the United States/Mexico border.Statistical analyses performed Age, income level, education level, and weight status, all correlates of underreporting in samples of non-Hispanic white participants, were examined as potential correlates of underreporting among Mexican/Mexican-American women using binary logistic regression. Acculturation was examined to determine if it accounted for additional variance in underreporting. Finally, multivariate analyses using backward stepwise regression were conducted to determine which correlates remained significant in the final model.Results Rates of underreporting varied across the five detection methods employed, from 11.9% (n = 42) to 81.3% (n=286). Obese weight status was the only significant correlate across all five underreporting detection methods and remained significant in the final model. Using backward stepwise regression, the final model showed weight status to be a significant correlate of underreporting both at the overweight (P