Research Article

Television Viewing Does Not Have to Be Sedentary: Motivation to Participate in a TV Exercise Program

Table 4

Logistic regression analysis of the IMI subscales on participation in the NOM-tv exercises, corrected for background characteristics.

Independent variablesModel 1Model 2
OR (CI)P valueOR (CI)P value

Gender1.81 (1.18–2.76).0061.57 (.99–2.50)ns
Age1.00 (.98–1.03)ns1.02 (1.00–1.04)ns
BMI.91 (.88–.95)<.001.95 (.91–.99).011
Marital status.89 (.78–1.03)ns.92 (.79–1.07)ns
Occupational status.98 (.88–1.09)ns.96 (.86–1.07)ns
Educational level1.41 (1.03–1.94).0341.62 (1.14–2.29).007
Urbanization.79 (.58–1.08)ns.71 (.50–.99).044
Nationality.71 (.37–1.36)ns.55 (.27–1.09)ns
Perceived personal health status1.12 (.99–1.27)ns.99 (.86–1.14)ns
Compliance with physical activity guidelines1.49 (1.09–2.05).0141.20 (.85–1.70)ns
Viewing habits2.47 (2.06–2.95)<.0011.86 (1.51–2.28)<.001
Interest-enjoyment1.38 (1.11–1.70).003
Perceived competence1.55 (1.29–1.86)<.001
Effort-importance1.65 (1.32–2.07)<.001
Pressure-tension.84 (.68–1.05)ns
Perceived choice.78 (.58–1.06)ns
Value-usefulness.78 (.62–.98).034
Nagelkerke’s .21.35

Note. ns = not significant.