Effect of the PREDIMED-Plus Intervention on at Least 5% Improvements of Baseline Values in Body Composition Components Over Follow-Up Time in Participants Who Completed Follow-Up: Adjusted Risk Parameters From Logistic Regression Models for Marginal Effects
muscle mass
REGRESSION, TYPE 2 DIABETES
Abbreviation: PREDIMED-Plus, Prevención con Dieta Mediterránea-Plus.Between-group differences in change from baseline to 1 and 3 years were assessed using logistic regression models for marginal effects with robust variance estimator after adjusting for sex (dichotomous), age (continuous), and baseline levels of smoking status (3 categories), educational level (3 categories), type 2 diabetes prevalence (dichotomous), height, total leisure-time physical activity, sedentary behavior, total energy intake and alcohol intake (continuous). Postestimation tests were applied (Stata adjrr command) to estimate adjusted risk parameters. Percentages of fat mass and lean mass were calculated in relation to dual energy x-ray absorptiometry–derived total body mass (sum of total bone, fat, and muscle mass). Calculation of 5% improvements in body composition: for each outcome at 1 and 3 years, dummy variables were created, where 0 indicates lack of improvements in body composition parameters from baseline (ie, <5% reduction from baseline in percentage of total fat mass and grams of visceral fat mass, and <5% increase in percentage of total lean mass) and 1 indicates that parameters are equal or improved from baseline (ie, ≥5% reduction from baseline in percentage of total fat mass and grams of visceral fat mass, and ≥5% increase in percentage of total lean mass).Number needed to treat: 1/risk difference. 95% CI: (maximum number needed to treat; minimum number needed to treat) = (1/risk difference minimum 95% CI, 1/risk difference maximum 95% CI).