Table 2.
A comparison of baseline categorical variables between the cohorts*
| Variable | CR | RP | High-flex | Gender-specific | p value |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 78 (33%) | 73 (53%) | 40 (62%) | 5 (6%) | < 0.0001 |
| Female | 159 (67%) | 64 (47%) | 25 (38%) | 83 (94%) | |
| Minority status | |||||
| Minority | 15 (6%) | 12 (9%) | 20 (30%) | 28 (32%) | < 0.0001 |
| Not minority | 222 (94%) | 123 (91%) | 25 (70%) | 59 (68%) | |
| Education level | |||||
| Less than high school | 8 (3%) | 0 (0%) | 4 (6%) | 1 (1%) | 0.0181 |
| More than high school | 229 (97%) | 137 (100%) | 61 (94%) | 87 (99%) | |
| Household income | |||||
| < USD 25,000/year | 44 (19%) | 22 (16%) | 14 (22%) | 13 (15%) | 0.0308 |
| > USD 25,000/year | 193 (81%) | 115 (84%) | 51 (78%) | 75 (85%) | |
* Chi-square tests were used to compare the cohorts. Data are presented as the absolute number and percentage of each cohort in parentheses; CR = cruciate-retaining; RP = rotating-platform.