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Table 3 Hierarchical regression of the influence of frailty on MCS

From: Influence of frailty on health-related quality of life in pre-dialysis patients with chronic kidney disease in Korea: a cross-sectional study

 

Predictors

β

t

p

Model 1(R2 = .058, p = .306)

Female

-.026

-.285

.776

Age

.108

1.213

.227

College graduate

.015

-.176

.861

Living with spouse

.165

1.980

.053

Diabetes (Yes)

.011

.134

.894

Hypertension (Yes)

.022

.264

.792

Employed

-.043

-.507

.613

eGFR (mL/min/1.73 m2)

.115

1.340

.182

Model 2(R2 = .271, R2 change = .213, p < .001)

Female

.053

.638

.524

Age

.228

2.836

.005

College graduate

-.020

-.269

.789

Living with spouse

.142

1.901

.059

Diabetes (Yes)

-.005

-.074

.941

Hypertension (Yes)

.071

.983

.327

Employed

.017

.228

.820

eGFR (mL/min/1.73 m2)

.096

1.261

.209

Frailty (Yes)

-.485

−6.709

< .001

  1. MCS Mental Component Summary; eGFR Estimated Glomerular Filtration Rate