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. 2015 May 11;17(5):e115. doi: 10.2196/jmir.3932

Table 3.

Logistic regression results for the relationship between socioeconomic variables, personal characteristics, and following the intervention recommendation within the complete sample (N=1586).

Predictor β P OR (95% CI)
Age (cont) 0.04 <.001 1.04 (1.02-1.05)
Gender (ref=female) 0.34 .02 1.40 (1.08-1.80)
Diseases (ref=healthy) –0.18 .71 0.94 (0.67-1.31)
Country of birth (ref=not NL) –0.26 .40 0.77 (0.42-1.41)
Family status (ref=in relationship) 0.01 .97 1.0 (0.67-1.46)
Household (cont) –0.09 .07 0.91 (0.82-1.01)
Income (ref=high)



Low
.67

Middle –0.16 .47 0.86 (0.56-1.31)

High 0.01 .98 1.06 (0.74-1.34)
Work situation (ref=unemployed) –0.15 .35 0.86 (0.62-1.19)
Education (ref=high)



Low
.78

Middle 0.06 .79 1.06 (0.68-1.67)

High 0.08 .58 1.08 (0.82-1.43)
QOL (cont) –0.04 .002 0.96 (0.93-0.98)
Module recommendation (cont) –1.59 <.001 0.20 (0.17-0.24)

a Cont=continuous; ref=reference group for categorical variables.