Table 4.
Association between BMI and chronic knee pain using multivariable logistic regression by sex
| BMI 4 categoriesa |
Unadjusted | Model 1 | Model 2 | |||
|---|---|---|---|---|---|---|
| OR (95% CI) | P-value | OR (95% CI) | P-value | OR (95% CI) | P-value | |
| Total | ||||||
| Underweight | 1 | 1 | 1 | |||
| Normal | 1.18 (0.77–1.83) | 0.45 | 1.38 (0.89–2.16) | 0.15 | 1.53 (0.95–2.46) | 0.08 |
| Overweight | 1.48 (0.95–2.32) | 0.09 | 1.79 (1.13–2.84) | 0.01 | 1.86 (1.14–3.04) | 0.01 |
| Obesity | 2.44 (1.48–4.01) | 0.00 | 2.64 (1.59–4.38) | 0.00 | 2.45 (1.43–4.21) | 0.00 |
| P for trend | 1.32 (1.20–1.46) | 0.00 | 1.34 (1.21–1.48) | 0.00 | 1.26 (1.14–1.40) | 0.00 |
| Men | ||||||
| Underweight | 1 | 1 | 1 | |||
| Normal | 1.83 (0.74–4.54) | 0.19 | 0.70 (0.54–0.92) | 0.01 | 0.79 (0.60–1.04) | 0.10 |
| Overweight | 1.58 (0.63–3.96) | 0.33 | 1.96 (0.77–4.94) | 0.16 | 2.32 (0.83–6.51) | 0.11 |
| Obesity | 2.44 (0.82–7.28) | 0.11 | 3.17 (1.06–9.42) | 0.04 | 3.48 (1.03–11.74) | 0.04 |
| P for trend | 1.00 (0.81–1.23) | 0.99 | 1.07 (0.87–1.31) | 0.54 | 1.07 (0.87–1.32) | 0.50 |
| Women | ||||||
| Underweight | 1 | 1 | 1 | |||
| Normal | 0.97 (0.61–1.54) | 0.90 | 1.13 (0.71–1.81) | 0.61 | 1.17 (0.71–1.93) | 0.53 |
| Overweight | 1.53 (0.94–2.48) | 0.09 | 1.71 (1.04–2.79) | 0.03 | 1.62 (0.97–2.71) | 0.07 |
| Obesity | 1.97 (1.12–3.45) | 0.02 | 2.36 (1.35–4.14) | 0.00 | 2.01 (1.12–3.62) | 0.02 |
| P for trend | 1.45 (1.29–1.63) | 0.00 | 1.45 (1.28–1.63) | 0.00 | 1.33 (1.18–1.51) | 0.00 |
Multivariable Logistic regression analysis with complex sampling design was performed by adjusting for covariates. OR, odds ratio; 95% CI, 95% confidence interval
a BMI was categorized into underweight (< 18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obesity (≥30.0 kg/m2)
Model 1 was adjusted for age
Model 2 was adjusted for Model 1 + smoking, alcohol consumption, occupation, education, household income, physical activity, depression, and duration of sleep