Health and study dropout: health aspects differentially predict attrition

Table 2 Logistic Regression Results Predicting Study Dropout via Baseline Health and Demographic Variables (N = 4442)

	OR	95%-CI	OR_standardized	z	p
Chronic conditions	0.90	[0.86; 0.94]	0.82	−5.13	< .001
Physical functioning	0.99	[0.99; 1.00]	0.85	−4.06	< .001
Depression	0.99	[0.98; 1.01]	0.96	−1.10	.272
Cognitive functioning	1.00	[0.99; 1.00]	0.95	−1.21	.225
Age	1.01	[1.00; 1.02]	1.14	3.17	.002
Sex (female)	0.84	[0.74; 0.96]	0.84	−2.49	.013
Educational level
Low (Ref.)	1.00	–	–	–	–
Intermediate	0.70	[0.57; 0.88]	0.70	−3.15	.002
Upper-intermediate	0.42	[0.32; 0.56]	0.42	−6.11	< .001
High	0.41	[0.32; 0.54]	0.41	−6.64	< .001
Income	0.76	[0.69; 0.86]	0.79	−4.65	< .001
Partnership status	0.87	[0.74; 1.02]	0.87	−1.73	.084
Network size	0.90	[0.88; 0.93]	0.76	−8.54	< .001

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

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