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Statistical methods used for the evaluation of reliability and validity of nutrition assessment tools used in medical research.

机译:用于评估医学研究中营养评估工具的信度和效度的统计方法。

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摘要

The contribution of diet to the development of several chronic diseases, such as vascular disease, diabetes or lipid abnormalities has been established. Therefore, clinical trials dealing with these diseases need to adjust for individual dietary habits in order to account for potential confounding. Common practice in the majority of studies that collect dietary information is to record individual habits using specific questionnaires (e.g. Food Frequency questionnaires, FFQ). Nevertheless, a major challenge in nutrition assessment is the correct measurement of dietary exposure. This can be expressed as the reliability and validity of the retrieved information. These issues refer to how close the food records and the energy intake estimated by a tool represent actual food intake. To establish accuracy of a tool is of major importance in order to avoid inconsistent estimates of dietary intake that can distort any potential relation between diet, pharmacological treatment and disease. The aim of this review is to critically present commonly used statistical methods in reliability and validity studies.
机译:饮食对几种慢性疾病如血管疾病,糖尿病或脂质异常的发展有贡献。因此,应对这些疾病的临床试验需要根据个人的饮食习惯进行调整,以解决潜在的混淆问题。在大多数收集饮食信息的研究中,通常的做法是使用特定的问卷(例如食物频率问卷,FFQ)记录个人习惯。然而,营养评估中的主要挑战是饮食暴露的正确测量。这可以表示为所检索信息的可靠性和有效性。这些问题指的是食物记录与工具估算的能量摄入之间的接近程度代表了实际的食物摄入量。建立一种工具的准确性至关重要,以避免对饮食摄入量的估计不一致,这可能会使饮食,药物治疗和疾病之间的任何潜在关系失真。这篇综述的目的是批判性地介绍可靠性和有效性研究中常用的统计方法。

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