concept

multiple regression

Also known as: multiple regression analysis, multiple regression model

Facts (10)

Sources

Impact of sleep duration on executive function and brain structure nature.com Nature Mar 3, 2022 5 facts

procedureMultiple regression analysis was used to test the relationship between sleep duration and the Executive Function latent variable while controlling for age, cardiovascular comorbidity, smoking pack years, BMI, genetic risk, and socioeconomic status.

claimIn the multiple regression model used in the study 'Impact of sleep duration on executive function and brain structure', age was the strongest predictor of Executive Function by an order of magnitude compared to other variables.

claimThe multiple regression model examining the relationship between sleep duration and Executive Function controlled for age, sleep characteristics (chronotype, insomnia), obstructive sleep apnoea traits (daytime sleepiness, snoring), vascular co-morbidity, smoking, BMI, APOE ε4 genotype, and socioeconomic status.

claimA multiple regression analysis with Executive Function as the dependent variable demonstrated a quadratic relationship between sleep duration and Executive Function, comparing six-to-eight hour sleep durations to other reported sleep times.

claimA multiple regression model using Executive Function as the dependent variable confirmed a quadratic relationship between sleep duration and cognitive performance, controlling for age, chronotype, insomnia, obstructive sleep apnoea traits, vascular co-morbidity, smoking, BMI, APOE ε4 genotype, and socioeconomic status.

Sex differences in respiratory and circulatory cost during hypoxic ... nature.com Nature Jul 2, 2019 3 facts

claimWhen using multiple regression to predict changes in energy expenditure (ΔEE), both changes in minute ventilation (ΔV̇E) and changes in heart rate (ΔHR) were statistically significant predictors for both men and women.

procedureThe researchers used ordinary least squares linear regression to compare ΔEE to Δ({\dot{{\rm{V}}}}{{\rm{E}}}) and ΔHR, and used multiple regression to assess the independent, additive effects of ({\dot{{\rm{V}}}}{{\rm{E}}}) and HR on ΔEE, setting the intercept to 0 under the assumption that ΔEE was attributable to circulatory and ventilatory expenditure.

procedureThe researchers calculated changes in SpO2 with hypoxia and used multiple regression analysis to test for the independent, additive effects of energy expenditure (EE), ({\dot{{\rm{V}}}}{{\rm{E}}}), and heart rate (HR) on SpO2 after logarithmic transformation.

The Relationship Between Parenting Style, Child Behaviour and ... gavinpublishers.com Tommy Kwan Hin Fong, Heidi Ka Ying Lo, Calvin Pak Wing Cheng, Hoi Sin Tong, Wai Yan Vivian Lui, Phyllis Kwok Ling Chan · Gavin Publishers 1 fact

procedureThe study utilized a multiple regression analysis to investigate the relationship between socioeconomic status (SES) variables and parents' perceptions of their children's total difficulties as measured by SDQ scores, with significant variables from univariate models subsequently inputted into a multivariate logistic regression model.

Associations between pain intensity, psychosocial factors ... - Nature nature.com Nature Jun 12, 2024 1 fact

claimThe study conducted at Norway’s largest multidisciplinary pain clinic identified sleep problems, pain intensity, psychological distress, and fatigue as primary contributors to pain-related disability in a multiple regression model.