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Table 3 Linear regression model of total QoL on health risk behavior and physical illnesses within the cancer survivor sample

From: Quality of life after pediatric cancer: comparison of long-term childhood cancer survivors’ quality of life with a representative general population sample and associations with physical health and risk indicators

 

B

(SE)

β

p

Intercept

103.015 (4.122)

 

 < .001

Sex/gender

-6.639 (1.170)

-.229

 < .001

Age at examination (continuous)

-.178 (.103)

-.071

.085

High level of education

3.537 (1.164)

.122

.002

Smoking status

.649 (1.214)

.022

.593

Alcohol consumption above tolerance

.687 (1.871)

.015

.714

Physical inactivity

-2.840 (1.238)

-.093

.022

Obesity

-1.370 (1.604)

-.035

.393

Dyslipidemia

-2.680 (1.317)

-.084

.042

Hypertension

.113 (1.426)

.003

.937

Chronic kidney disease

-2.240 (4.743)

-.019

.637

Chronic obstructive pulmonary disease

-4.077 (3.924)

-.042

.299

Cardiovascular disease

-12.331 (2.973)

-.168

 < .001

Diabetes

-6.162 (4.336)

-.059

.156

  1. Statistically significant effects are printed in bold. Coding of binary predictors: Gender: 0 = men, 1 = women; Level of education: 0 = below German Abitur; 1 = German Abitur or higher; Smoking status; Alcohol consumption above tolerance; Physical inactivity; Obesity; Dyslipidemia; Hypertension; Chronic kidney disease; Chronic obstructive pulmonary disease; Cardiovascular disease; Diabetes: 0 = not present, 1 = present