Kowalski Corina, Dustin Dakota, Ilayan Alaa, Johnson LuAnn K, Belury Martha A, Conrad Zach
College of Arts Sciences, William & Mary, Williamsburg, Virginia.
Department of Food Science and Technology, The Ohio State University, Columbus, Ohio.
J Acad Nutr Diet. 2025 Feb;125(2):239-246.e1. doi: 10.1016/j.jand.2024.07.006. Epub 2024 Jul 11.
Mischaracterization of dietary intake by patients and study participants is a common problem that presents challenges to clinical and public health approaches to improve diet quality, identify healthy eating patterns, and reduce the risk of chronic disease.
This study examined participants' self-reported adherence to low-carbohydrate and low-fat diets compared with their estimated adherence using up to 2 24-hour recalls.
This cross-sectional study acquired data on dietary intake from respondents in the National Health and Nutrition Examination Survey, 2007-2018.
PARTICIPANTS/SETTING: This study included 30 219 respondents aged 20 years and older who had complete and reliable dietary data and were not pregnant or breastfeeding.
The main outcome was prevalence of self-reported and estimated adherence to low-carbohydrate or low-fat diet patterns.
Self-reported adherence to low-carbohydrate or low-fat diets was evaluated using responses to questionnaires. Estimated adherence to these diets was assessed using data from up to 2 24-hour recalls and usual intake methodology developed by the National Cancer Institute.
Of the 1.4% of participants who reported following a low-carbohydrate diet, estimated adherence (<26% energy from carbohydrates) using 24-hour recalls was 4.1%, whereas estimated adherence among those that did not report following a low-carbohydrate diet was <1% (P value for difference = .014). Of the 2.0% of participants who reported following a low-fat diet, estimated adherence (<30% energy from fat) was 23.0%, whereas estimated adherence among those who did not report following a low-fat diet was 17.8% (P value for difference = .048).
This research demonstrates that most individuals mischaracterized their diet pattern when compared with up to 2 24-hour recalls. These findings emphasize the need for clinicians and public health professionals to be cautious when interpreting individuals' self-reported diet patterns, and should aim to collect more detailed dietary data when possible.
患者和研究参与者对饮食摄入的错误描述是一个常见问题,这给改善饮食质量、识别健康饮食模式以及降低慢性病风险的临床和公共卫生方法带来了挑战。
本研究比较了参与者自我报告的低碳水化合物和低脂肪饮食依从性与使用多达2次24小时饮食回顾估计的依从性。
这项横断面研究收集了2007年至2018年美国国家健康与营养检查调查中受访者的饮食摄入数据。
参与者/背景:本研究纳入了30219名20岁及以上的受访者,他们拥有完整且可靠的饮食数据,并且未怀孕或处于哺乳期。
主要结局是自我报告和估计的低碳水化合物或低脂肪饮食模式依从性的患病率。
使用问卷回答评估自我报告的低碳水化合物或低脂肪饮食依从性。使用多达2次24小时饮食回顾的数据以及美国国家癌症研究所开发的通常摄入量方法评估对这些饮食的估计依从性。
在报告遵循低碳水化合物饮食的参与者中,使用24小时饮食回顾估计的依从性(碳水化合物能量占比<26%)为4.1%,而未报告遵循低碳水化合物饮食的参与者中估计依从性<1%(差异P值 = 0.014)。在报告遵循低脂肪饮食的参与者中,估计依从性(脂肪能量占比<30%)为2率3.0%,而未报告遵循低脂肪饮食的参与者中估计依从性为17.8%(差异P值 = 0.048)。
本研究表明,与多达2次24小时饮食回顾相比,大多数人对自己的饮食模式描述有误。这些发现强调,临床医生和公共卫生专业人员在解释个人自我报告的饮食模式时需要谨慎,并且应尽可能收集更详细的饮食数据。