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Table 7 Logistic Regression Results Predicting Study Dropout via Baseline Health and Demographic Variables in a Listwise Deleted Dataset (N = 3155)

From: Health and study dropout: health aspects differentially predict attrition

 

OR

95%-CI

ORstandardized

z

p

Chronic conditions

0.90

[0.85; 0.94]

0.81

−4.35

< .001

Physical functioning

0.99

[0.99; 1.00]

0.88

−2.65

.008

Depression

0.99

[0.98; 1.01]

0.96

−0.93

.351

Cognitive functioning

1.00

[0.99; 1.00]

0.94

−1.27

.204

Age

1.01

[1.00; 1.02]

1.11

2.13

.033

Sex (female)

0.87

[0.74; 1.02]

0.87

−1.67

.096

Educational level

–

–

–

–

–

 Low (Ref.)

1.00

–

–

–

–

 Intermediate

0.68

[0.52; 0.88]

0.68

−2.87

.004

 Upper-intermediate

0.40

[0.29; 0.56]

0.40

−5.29

< .001

 High

0.40

[0.29; 0.55]

0.40

−5.67

< .001

Income

0.81

[0.71; 0.92]

0.84

−3.23

.001

Partnership status

0.82

[0.68; 0.99]

0.82

−2.02

.043

Network size

0.90

[0.88; 0.93]

0.74

−7.41

< .001

  1. OR Unstandardized Odds Ratio, 95%-CI 95% Confidence Interval of OR, ORstandardized Standardized (z-scaled) OR, z z-Value, p p-value