Table 4 Logistic regression analysis for predicting MetS based on LHR
Variables | Crude | Adjusted | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
B | OR | Confidence interval %95 | P-value | B | OR | Confidence interval %95 | P-value | |||
LHR | 19.1 | 29.3 | 2.56–4.24 | 01.0> | 88.1 | 61.6 | 4.43–9.84 | 01.0> | ||
Age | 05.0 | 05.1 | 1.04–1.06 | 01.0> | 07.0 | 07.1 | 1.06–1.09 | 01.0> | ||
BMI | 20.0 | 22.1 | 1.19–1.25 | 01.0> | 23.0 | 26.1 | 1.23–1.29 | 01.0> | ||
Gender | Female | 37.0 | 45.1 | 1.22–1.71 | 01.0> | 19.0 | 20.1 | 0.98–1.47 | 07.0 | |
Male | Reference Category | Reference Category | ||||||||
Smoking | Yes | 14.0 | 87.0 | 0.68–1.09 | 23.0 | - | - | - | - | - |
No | Reference Category | Reference Category | ||||||||
Economic Status | Poor | 02.0 | 02.1 | 0.85–1.23 | 78.0 | - | - | - | - | - |
Moderate | 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 | 01.0> | 16.0 | 18.1 | 0.85–1.65 | 32.0 | |
36.6–44.9 | 58.0 | 79.1 | 1.38–2.32 | 01.0> | 31.0 | 37.1 | 1.02–1.84 | 04.0 | ||
>=45 | Reference Category | Reference Category | ||||||||