Table 3 Logistic regression analysis for predicting MetS based on NHR
Variables | Crude | Adjusted | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
B | OR* | confidence interval %95 | P-value | B | OR* | confidence interval %95 | P-value | ||||
NHR | 1.19 | 3.29 | 2.56–4.24 |  | < 0.01 | 56.1 | 76.4 | 3.51–6.45 | < 0.01 | ||
Age | 05.0 | 05.1 | 1.04,106 | < 0.01 | 08.0 | 08.1 | 1.07–109 | 01.0> | |||
BMI | 20.0 | 22.1 | 1.19,1.25 | < 0.01 | 22.0 | 25.1 | 1.22–1.28 | 01.0> | |||
Gender | Female | 37.0 | 45.1 | 1.22–171 | < 0.01 | 22.0 | 24.1 | 1.01–1.52 | 03.0 | ||
Male | Reference Category | Reference Category | |||||||||
Smoking | Yes | 14.0 | 87.0 | 0.68–1.09 | 23.0 | - | - | - | - | - | |
No | Reference Category | Â | Â | Reference Category | |||||||
Economic Status | Poor | 02.0 | 02.1 | 0.85–1.23 | 78.0 | - | - | - | - | - | |
Medium | 05.0 | 05.1 | 0.84–1.32 | 65.0 | - | - | - | - | - | ||
Rich | Reference Category | Reference Category | |||||||||
Physical activity METS/ week | 24-36.5 | 69.0 | 00.2 | 1.50–2.68 | < 0.001 | 23.0 | 25.1 | 0.89–1.75 | 18.0 | ||
36.6–44.9 | 58.0 | 79.1 | 1.38–2.32 | < 0.001 | 38.0 | 46.1 | 1.08–1.98 | 01.0 | |||
>=45 | Reference Category | Reference Category | |||||||||