Table 2.
Physical activity, BMI and, risk of fecal incontinence
| Person-years of follow-up | No. of cases | Age-adjusted HR (95% CI) | Multivariable-adjusted HR without potential mediators (95% CI)a | Multivariable-adjusted HR (95% CI)b | |
|---|---|---|---|---|---|
| MET hours/week category | — | — | — | — | — |
| <3 | 37,440 (3%) | 1679 | 1.00 | 1.00 | 1.00 |
| 3–8 | 36,486 (14%) | 1325 | 0.84 (0.78–0.90) | 0.84 (0.79–0.91) | 0.86 (0.80–0.93) |
| 9–17 | 35,053 (20%) | 1081 | 0.75 (0.69–0.81) | 0.76 (0.70–0.82) | 0.78 (0.72–0.84) |
| 18–26 | 23,142 (12%) | 670 | 0.72 (0.66–0.78) | 0.73 (0.67–0.80) | 0.76 (0.69–0.83) |
| 27+ | 43,326 (50%) | 1199 | 0.70 (0.65–0.76) | 0.72 (0.66–0.77) | 0.75 (0.70–0.81) |
| Ptrendc | — | — | <0.0001 | <0.0001 | <0.0001 |
| BMI category, kg/m2 | — | — | — | — | — |
|---|---|---|---|---|---|
| 18.5–24.9 | 77,494 (44%) | 2662 | 1.00 | 1.00 | 1.00 |
| 25–29.9 | 61,307 (35%) | 2017 | 1.03 (0.97–1.09) | 1.02 (0.97–1.09) | 0.97 (0.91–1.03) |
| 30–34.9 | 25,503 (15%) | 868 | 1.16 (1.07–1.25) | 1.14 (1.06–1.23) | 1.02 (0.94–1.11) |
| 35–39.9 | 7893 (4%) | 288 | 1.35 (1.19–1.52) | 1.32 (1.16–1.49) | 1.12 (0.99–1.27) |
| 40+ | 3249 (2%) | 119 | 1.47 (1.22–1.77) | 1.46 (1.21–1.75) | 1.18 (0.97–1.42) |
| Ptrendc | — | — | <0.0001 | <0.0001 | 0.71 |
aModel as below with potential mediators between physical activity and fecal incontinence (BMI, hypertension, diabetes mellitus) excluded for physical activity model and with potential mediators of BMI and fecal incontinence (physical activity, hypertension, diabetes mellitus) excluded for BMI model
bModels adjusted for age (months), race, smoking (never, past, current), BMI (<18.5, 18.5–24.9, 25–29.9, 30–34.9, ≥35 kg/m2) (for physical activity model), physical activity (<3, 3–8, 9–17, 18–26, 27+ MET hours/week) (for BMI model), menopausal hormone therapy use (never, past, current), parity (number of live births), hypertension (yes/no), diabetes mellitus (yes/no), neurologic disease (yes/no), and history of cholecystectomy (yes/no)
cLinear trend estimated by entering the medians of each MET hours/week quintile or BMI as a continuous variable in the model