Table 2.
Regression analysis to determine influence of type of surgery on long-term outcomes
| Outcome | Effect | Level | Adjusted odds ratio (95% confidence interval) | P-value |
|---|---|---|---|---|
| Diarrhea | Surgery | Duhamel | 0.99 (0.54–1.81) | 0.97 |
| Other/Swenson | 0.64 (0.35–1.17) | 0.15 | ||
| Soave | Ref. | Ref. | ||
| Age at surgery (years) | 1.00 (0.72–1.39) | 0.98 | ||
| Sex | Male | 1.25 (0.67–2.35) | 0.48 | |
| Female | Ref. | Ref. | ||
| Household | Rural | 0.69 (0.35–1.367) | 0.29 | |
| Urban | Ref. | Ref. | ||
| Income quintile | 1 (lowest) | 0.99 (0.43–2.25) | 0.97 | |
| 2 | 1.22 (0.54–2.76) | 0.64 | ||
| 3 | 1.01 (0.43–2.40) | 0.98 | ||
| 4 | 0.71 (0.29–1.74) | 0.45 | ||
| 5 (highest) | Ref. | Ref. | ||
| Constipation | Surgery | Duhamel | 1.05 (0.52–2.10) | 0.89 |
| Other/Swenson | 1.65 (0.87–3.14) | 0.13 | ||
| Soave | Ref. | Ref. | ||
| Age at surgery (years) | 2.71 (1.75–4.20) | <0.0001 | ||
| Sex | Male | 1.20 (0.61–2.35) | 0.60 | |
| Female | Ref. | Ref. | ||
| Household | Rural | 1.23 (0.61–2.46) | 0.56 | |
| Urban | Ref. | Ref. | ||
| Income quintile | 1 (lowest) | 1.69 (0.64–4.42) | 0.29 | |
| 2 | 2.03 (0.78–5.29) | 0.15 | ||
| 3 | 1.04 (0.37–2.94) | 0.95 | ||
| 4 | 2.45 (0.92–6.51) | 0.07 | ||
| 5 (highest) | Ref. | Ref. |
Ref. Reference.