Table 4. Summary of logistic regression model with the Stepwise method using dependent binary variable: 1=one or more NCD; 0= no NCDs, and all remaining variables were independent.
| Model | Deviation | AIC | BIC | df | ΔX² | p |
|---|---|---|---|---|---|---|
| 1 | 636.591 | 638.591 | 642.947 | 575 | ||
| 2 | 619.821 | 623.821 | 632.533 | 574 | 16.770 | <0.001 |
| 3 | 610.342 | 616.342 | 629.410 | 573 | 9.479 | 0.002 |
| 4 | 601.781 | 609.781 | 627.205 | 572 | 8.561 | 0.003 |
Abbreviation: NCD, Non-Transmissible Chronic Diseases; AIC, Akaike Information Criteria; BIC, Bayesian Information Criteria; df, Degree of freedom; ΔX², delta chi-squared.
Logistic regression models were constructed using the Stepwise method with a dependent binary variable: 1=one or more NCDs; 0=no NCDs. All other variables including Age, Sex, Marital Status, Education, Socioeconomic Level, GDS15, and Braztel, were treated as independent variables.