Seabrook Jamie A
Department of Epidemiology and Biostatistics, Western University, London, ON.
Lawson Health Research Institute, London, ON.
Can J Diet Pract Res. 2025 Mar 1;86(1):479-483. doi: 10.3148/cjdpr-2024-019. Epub 2024 Dec 6.
Sample size estimation is a critical aspect of nutrition research methodology, yet it remains frequently overlooked, leading to underpowered studies and potentially inaccurate conclusions. This review addresses this gap by providing comprehensive guidance on how to calculate sample size in nutrition research. Emphasizing the importance of an a priori sample size calculation, the review outlines the key considerations, including the desired levels of significance and power, effect size estimation, and standard deviation assessment. Formulas for determining sample size for various comparisons, including two proportions, two means, three or more groups, and unevenly sized groups, are provided, along with strategies for addressing loss to follow-up. Hypothetical examples illustrate these formulas' application across different research scenarios, highlighting their practical value in ensuring study robustness. Additionally, the review discusses common pitfalls in sample size estimation, such as misjudging effect size or standard deviation, and emphasizes the need for transparent reporting of sample size calculations to enable accurate interpretation of study findings. This article is a resource for nutrition researchers, offering guidance on conducting appropriate sample size calculations to bolster methodological rigor and study reliability. By embracing the principles outlined herein, researchers can elevate the quality of nutrition research.
样本量估计是营养研究方法学的一个关键方面,但它仍然经常被忽视,导致研究效能不足,并可能得出不准确的结论。本综述通过提供关于如何在营养研究中计算样本量的全面指导来弥补这一差距。该综述强调了先验样本量计算的重要性,概述了关键考虑因素,包括所需的显著性水平和检验效能、效应量估计以及标准差评估。提供了用于确定各种比较(包括两个比例、两个均值、三组或更多组以及大小不均等的组)的样本量的公式,以及处理失访的策略。假设示例说明了这些公式在不同研究场景中的应用,突出了它们在确保研究稳健性方面的实用价值。此外,该综述讨论了样本量估计中的常见陷阱,如对效应量或标准差的错误判断,并强调需要透明地报告样本量计算,以便能够准确解释研究结果。本文是营养研究人员的一个资源,提供了关于进行适当样本量计算的指导,以加强方法的严谨性和研究的可靠性。通过采用本文所述的原则,研究人员可以提高营养研究的质量。