Table 4 Multiple logistic regression for... | Emerald Publishing

Table 4

Multiple logistic regression for determinants of overall and domain-specific physical activity

Outcome/variables	B	SE	AOR	95% CI
Overall PA
Constant	2.335	0.491	10.334
Gender (Male vs Female)	0.610	0.226	1.840	1.182–2.865
Nagelkerke R²	0.046
Work PA
Constant	−0.562	0.143	0.570
Race (Malay vs Non Malay)	0.547	0.169	1.728	1.240–2.409
Part-time jobs (Yes vs No)	1.131	0.312	3.098	1.680–5.714
Nagelkerke R²	0.052
Transport PA
Constant	−0.570	0.157	0.566
Faculty (Medical vs Nonmedical)	0.517	0.165	1.677	1.214–2.317
Nagelkerke R²	0.025
Leisure PA
Constant	−0.627	0.123	0.534
Gender (Male vs. Female)	1.345	0.171	3.836	2.746–5.360
Overweight preoccupation (High vs Low)	0.396	0.158	1.486	1.089–2.028
Nagelkerke R²	0.142

Outcome/variables	B	SE	AOR	95% CI
Overall PA
Constant	2.335	0.491	10.334
Gender (Male vs Female)	0.610	0.226	1.840	1.182–2.865
Nagelkerke R²	0.046
Work PA
Constant	−0.562	0.143	0.570
Race (Malay vs Non Malay)	0.547	0.169	1.728	1.240–2.409
Part-time jobs (Yes vs No)	1.131	0.312	3.098	1.680–5.714
Nagelkerke R²	0.052
Transport PA
Constant	−0.570	0.157	0.566
Faculty (Medical vs Nonmedical)	0.517	0.165	1.677	1.214–2.317
Nagelkerke R²	0.025
Leisure PA
Constant	−0.627	0.123	0.534
Gender (Male vs. Female)	1.345	0.171	3.836	2.746–5.360
Overweight preoccupation (High vs Low)	0.396	0.158	1.486	1.089–2.028
Nagelkerke R²	0.142

Note(s): Physical activity (PA); versus (vs)