Corrigendum to: Comparing the Effects of Two Cardiovascular Health Factors on Working Memory Capacity in Healthy Aging: Separate and Combined Effects of Arterial Elasticity and Physical Fitness
Year: 2021
Type: erratum
Abstract: In the article “Comparing the Effects of Two Cardiovascular Health Factors on Working Memory Capacity in Healthy Aging: Separate and Combined Effects of Arterial Elasticity and Physical Fitness,” table 2 has been updated as follows online: Previous version: Table 2.Step-Wise Regression With WMC as the Dependent Variable to Test the Separate Effect of PsP on WMC and Whether the Combined Effects of PsP and MET Could Explain More Variance in WMC Than PsP or MET Alone Notes: MET = metabolic equivalent of VO2 max; PsP = pulse pressure; IV = independent variable; WMC = working memory capacity. Model R2 presents the variance of WMC explained by IVs entered in each step. ΔR2 presents changes in variance explained with additional IV. Significant ΔR2 suggests that added IVs are significantly improving the predictive power of the model on WMC. Standardized β of IV indicates the individual predictive power of each IV entered. Unstandardized β of IV estimates the exact change in WMC when the IV increases one unit, while holding all of the other IVs constant. *Indicates significance at α level 0.05. Table 2.Step-Wise Regression With WMC as the Dependent Variable to Test the Separate Effect of PsP on WMC and Whether the Combined Effects of PsP and MET Could Explain More Variance in WMC Than PsP or MET Alone Notes: MET = metabolic equivalent of VO2 max; PsP = pulse pressure; IV = independent variable; WMC = working memory capacity. Model R2 presents the variance of WMC explained by IVs entered in each step. ΔR2 presents changes in variance explained with additional IV. Significant ΔR2 suggests that added IVs are significantly improving the predictive power of the model on WMC. Standardized β of IV indicates the individual predictive power of each IV entered. Unstandardized β of IV estimates the exact change in WMC when the IV increases one unit, while holding all of the other IVs constant. *Indicates significance at α level 0.05. Corrected version: Table 2.Step-Wise Regression With WMC as the Dependent Variable to Test the Separate Effect of PsP on WMC and Whether the Combined Effects of PsP and MET Could Explain More Variance in WMC Than PsP or MET Alone Notes: MET = metabolic equivalent of VO2 max; PsP = pulse pressure; IV = independent variable; WMC = working memory capacity. Model R2 presents the variance of WMC explained by IVs entered in each step. ΔR2 presents changes in variance explained with additional IV. Significant ΔR2 suggests that added IVs are significantly improving the predictive power of the model on WMC. Standardized β of IV indicates the individual predictive power of each IV entered. Unstandardized β of IV estimates the exact change in WMC when the IV increases one unit, while holding all of the other IVs constant. *Indicates significance at α level 0.05. Table 2.Step-Wise Regression With WMC as the Dependent Variable to Test the Separate Effect of PsP on WMC and Whether the Combined Effects of PsP and MET Could Explain More Variance in WMC Than PsP or MET Alone Notes: MET = metabolic equivalent of VO2 max; PsP = pulse pressure; IV = independent variable; WMC = working memory capacity. Model R2 presents the variance of WMC explained by IVs entered in each step. ΔR2 presents changes in variance explained with additional IV. Significant ΔR2 suggests that added IVs are significantly improving the predictive power of the model on WMC. Standardized β of IV indicates the individual predictive power of each IV entered. Unstandardized β of IV estimates the exact change in WMC when the IV increases one unit, while holding all of the other IVs constant. *Indicates significance at α level 0.05.
Authors: Shuo Qin, Chandramallika Basak
Institution: The University of Texas at Dallas
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4205843450