Table 3.
Binary logistic regression of sarcopenia, showing effects as odds ratios and 95% confidence intervals.
| Independent variable | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|
| OR (95%CI) | p-value | OR (95%CI) | p-value | OR (95%CI) | p-value | |
| Male | ||||||
| 0 to 9 | Ref. | Ref. | Ref. | |||
| ≥ 10 | 1.369 (0.703–2.665) | 0.356 | 1.633 (0.751–3.547) | 0.216 | 1.585 (0.696–3.231) | 0.251 |
| Female | ||||||
| 0 to 9 | Ref. | Ref. | Ref. | |||
| ≥ 10 | 1.368 (0.843–2.218) | 0.205 | 1.242 (0.727–2.123) | 0.428 | 1.261 (0.727–2.188) | 0.409 |
Model 1: adjusted for age, BMI, district. Model 2: adjusted for age, BMI, district, IPAQ, monthly income, education, smoking, drinking, denture status. Model 3: adjusted for age, BMI, district, IPAQ, monthly income, education,smoking, drinking, denture status, depression, nutrition status, hypertension, diabetes.
OR odds ratio, CI confidence interval.