Abstract
The purpose of this study was to examine how using the mean of two consecutive measurements vs. one measurement post-treatment influences the sample size required to detect changes in cardiometabolic risk factors in dietary studies. For a given statistical power, using the mean of two measurements taken on consecutive days post-treatment instead of a single measurement significantly reduces the sample size required to observe changes in triglyceride, total apolipoprotein B100, and C-reactive protein concentrations in the context of a supplementation study. In the context of a controlled-feeding study, this gain is seen only in the case of change in triglyceride concentrations.
Original language | English (US) |
---|---|
Pages (from-to) | 1546-1550 |
Number of pages | 5 |
Journal | European Journal of Clinical Nutrition |
Volume | 73 |
Issue number | 11 |
DOIs | |
State | Published - Nov 1 2019 |
All Science Journal Classification (ASJC) codes
- Medicine (miscellaneous)
- Nutrition and Dietetics