Table 3.
Association between physical activity and chronic knee pain using multivariable logistic regression by sex
| Physical activity 2 categoriesa |
Unadjusted | Model 1 | Model 2 | |||
|---|---|---|---|---|---|---|
| OR (95% CI) | P-value | OR (95% CI) | P-value | OR (95% CI) | P-value | |
| Total | ||||||
| Low physical activity | 1 | 1 | 1 | |||
| High physical activity | 0.64 (0.55–0.73) | 0.00 | 0.78 (0.67–0.91) | 0.00 | 0.86 (0.74–1.01) | 0.06 |
| Men | ||||||
| Low physical activity | 1 | 1 | 1 | |||
| High physical activity | 0.68 (0.52–0.89) | 0.01 | 0.70 (0.54–0.92) | 0.01 | 0.79 (0.60–1.04) | 0.10 |
| Women | ||||||
| Low physical activity | 1 | 1 | 1 | |||
| High physical activity | 0.69 (0.59–0.82) | 0.00 | 0.84 (0.70–1.00) | 0.04 | 0.90 (0.75–1.08) | 0.27 |
Multivariable Logistic regression analysis with complex sampling design was performed by adjusting for covariates. OR, odds ratio; 95% CI, 95% confidence interval
a Levels of physical activity were categorized: high physical activity was defined as participating in moderate-intensity physical activity for at least 2 h 30 min, vigorous-intensity physical activity for more than 1 h 15 min, or a combination of moderate and high-intensity physical activity (1 min of high-intensity activity is defined as 2 min of moderate-intensity activity) over a period of 1 week. Physical activity less than that mentioned previously was defined as low physical activity
Model 1 was adjusted for age and BMI
Model 2 was adjusted for Model 1 + smoking, alcohol consumption, education, household income, depression, and duration of sleep