Predictors of key cognitive domains in SVD.

Values show Standardised regression coefficients: β (p-value) for predictor variables in regression models of: EF-Executive Function, and PS–Processing Speed.
1Single variable models control for effects of age, gender and NART-IQ. Values in Bold remain significant after multiple comparisons correction (Holm-Bonferroni).
2Multiple variable models include all the terms indicated as well as age, gender and NART-IQ. A subset of variables were included in the multi-predictor models, as described in the statistical analysis part of the methods section. Models were highly significant: EF: R2 = 0.60; F(8,105) = 19.8, p<0.0001; PS: R2 = 0.49; F(8,105) = 12.8, p<0.0001. Significant terms in each model are highlighted in bold.

本数据集展示了用于EF-执行功能（Executive Function）与PS-加工速度（Processing Speed）回归模型的预测变量对应的标准化回归系数：β值（p值）。
1. 单变量模型控制了年龄、性别与NART-IQ（国家成人阅读测验智商）的混杂效应；经霍姆-邦费罗尼多重比较校正（Holm-Bonferroni）后，加粗标注的数值仍保持统计学显著性。
2. 多变量模型纳入了所有指定自变量以及年龄、性别与NART-IQ；多预测变量模型仅纳入方法部分统计学分析章节中描述的部分变量。所有模型均具有极高的统计学显著性：执行功能模型：R²=0.60；F(8,105)=19.8，p<0.0001；加工速度模型：R²=0.49；F(8,105)=12.8，p<0.0001。每个模型中的显著自变量均以加粗字体标注。