Teal Cayla R, Baham Danielle L, Gor Beverly J, Jones Lovell A
Houston Center for Quality of Care and Utilization Studies, Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.
J Am Diet Assoc. 2007 May;107(5):773-81. doi: 10.1016/j.jada.2007.02.005.
To assess the predictive validity of the meats, eggs, dairy, fried foods, fat in baked goods, convenience foods, fats added at the table, and snacks (MEDFICTS) questionnaire, a rapid dietary fat screening instrument, when used with African-American women.
A case series design was utilized to assess the validity of MEDFICTS compared to the Arizona Food Frequency Questionnaire.
SUBJECTS/SETTING: Data for this study were collected from 184 healthy premenopausal African-American women who completed both the MEDFICTS and the Arizona Food Frequency Questionnaire during screening for eligibility in a nutrition intervention study.
Analyses of sensitivity, specificity, predictive values, and receiver operating characteristic analysis were used to examine the predictive validity of MEDFICTS. Covariates of correctly and incorrectly identified groups were examined with contingency table analysis and t tests.
MEDFICTS was a statistically significant predictor of dietary fat consumption, but underestimated fat consumption of >or=30%. MEDFICTS' sensitivity to detect those consuming >or=30% fat was 57.3%, whereas its specificity (detection of those consuming <30% dietary fat) was 66.0%. Positive and negative predictive values were 80.6% and 38.5%, respectively. A reduction in the threshold score resulted in increased sensitivity but decreased specificity. Women identified by MEDFICTS as consuming <30% dietary fat but who were actually consuming 30% or more reported greater consumption of fats from foods classified as mixed foods.
Study findings suggest MEDFICTS underestimates fat consumption of >or=30%. The inclusion of a category to assess mixed foods could improve the sensitivity and specificity of MEDFICTS for predicting dietary fat consumption. These results demonstrate the need for population-based validation of dietary screening instruments.
评估肉类、蛋类、奶制品、油炸食品、烘焙食品中的脂肪、方便食品、餐时添加的脂肪以及零食(MEDFICTS)问卷(一种快速膳食脂肪筛查工具)在非裔美国女性中的预测效度。
采用病例系列设计,将MEDFICTS与亚利桑那食物频率问卷进行比较,以评估其效度。
研究对象/研究地点:本研究的数据收集自184名健康的绝经前非裔美国女性,她们在一项营养干预研究的筛查资格过程中同时完成了MEDFICTS和亚利桑那食物频率问卷。
使用敏感性、特异性、预测值分析以及受试者工作特征分析来检验MEDFICTS的预测效度。通过列联表分析和t检验对正确和错误识别组的协变量进行检查。
MEDFICTS是膳食脂肪摄入量的一个具有统计学意义的预测指标,但低估了30%及以上的脂肪摄入量。MEDFICTS检测脂肪摄入量≥30%者的敏感性为57.3%,而其特异性(检测脂肪摄入量<30%者)为66.0%。阳性预测值和阴性预测值分别为80.6%和38.5%。阈值分数的降低导致敏感性增加但特异性降低。MEDFICTS识别为脂肪摄入量<30%但实际摄入量为30%或更多的女性报告称,她们从归类为混合食品的食物中摄入的脂肪更多。
研究结果表明MEDFICTS低估了30%及以上的脂肪摄入量。纳入一个评估混合食品的类别可能会提高MEDFICTS预测膳食脂肪摄入量的敏感性和特异性。这些结果表明需要对膳食筛查工具进行基于人群的验证。