Table 3.
Product use (number and %) by demographic characteristics.
| Unscented pads | Unscented tampons | Menstrual cups | Scented pads | Scented tampons | Wipes | Douches | Sprays | Powders | |
|---|---|---|---|---|---|---|---|---|---|
| Total (N = 661) | 466 (70.0%) | 310 (47.0%) | 73 (11%) | 68 (10%) | 31 (4.7%) | 145 (22.0%) | 58 (8.8%) | 45 (6.8%) | 16 (2.4%) |
| Age (years) | |||||||||
| 18–24 (N = 189) | 125 (61.1%) | 99 (52.4%) | 28 (14.8%)* | 13 (6.9%) | 7 (3.7%) | 21 (11.1%)* | 5 (2.6%)* | 5 (2.6%)* | 2 (1.1%) |
| 25–34 (N = 144) | 109 (75.7%) | 69 (47.9%) | 24 (16.7%)* | 10 (6.9%) | 4 (2.8%) | 34 (23.6%)* | 11 (7.6%)* | 12 (8.3%)* | 2 (1.4%) |
| 35–44 (N = 215) | 150 (69.8%) | 94 (43.7%) | 18 (8.4%)* | 30 (14.0%) | 13 (6.0%) | 58 (27.0%)* | 25 (11.6%)* | 23 (10.7%)* | 9 (4.2%) |
| 45–54 (N = 113) | 82 (72.6%) | 48 (42.5%) | 3 (2.7%)* | 15 (13.3%) | 7 (6.2%) | 32 (28.3%)* | 17 (15.0%)* | 5 (4.4%)* | 3 (2.7%) |
| Race/ethnicity | |||||||||
| Black (N = 221) | 150 (67.9%) | 83 (37.6%)* | 13 (5.9%)* | 22 (10.0%) | 13 (5.9%) | 72 (32.6%)* | 34 (15.4%)* | 22 (10.0%) | 8 (3.6%) |
| Latinx (N = 204) | 154 (75.5%) | 86 (42.2%)* | 19 (9.3%)* | 22 (10.8%) | 9 (4.4%) | 42 (20.6%)* | 17 (8.3%)* | 15 (7.4%) | 2 (1.0%) |
| White (N = 120) | 76 (63.3%) | 84 (70.0%)* | 27 (22.5%)* | 10 (8.3%) | 4 (3.3%) | 16 (13.3%)* | 3 (2.5%)* | 4 (3.3%) | 5 (4.2%) |
| Some other identity (N = 107) | 80 (74.8%) | 52 (48.6%)* | 11 (10.3%)* | 13 (12.1%) | 5 (4.7%) | 15 (14.0%)* | 4 (3.7%)* | 4 (3.7%) | 1 (0.9%) |
| Education | |||||||||
| ≤High school diploma (N = 130) | 80 (61.5%)* | 42 (32.3%)* | 5 (3.8%)* | 23 (17.7)* | 10 (7.7%) | 34 (26.2%) | 23 (17.7%)* | 17 (13.1%)* | 4 (3.1%) |
| Some college, technical school, or associate degree (N = 226) | 156 (69.0%)* | 104 (46.0%)* | 23 (10.2%)* | 25 (11.1%)* | 11 (4.9%) | 50 (22.1%) | 18 (8.0%)* | 17 (7.5%)* | 9 (4.0%) |
| ≥Bachelor’s degree (N = 297) | 226 (76.1%)* | 164 (55.2%)* | 45 (15.2%)* | 19 (6.4%)* | 9 (3.0%) | 58 (19.5%) | 14 (4.7%)* | 9 (3.0%)* | 3 (1.0%) |
| Sex/gender | |||||||||
| Female (N = 640) | 455 (71.1%) | 297 (46.4%) | 66 (10.3%)* | 67 (10.5%) | 31 (4.8%) | 141 (22.0%) | 55 (8.6%) | 45 (7.0%) | 16 (2.5%) |
| Transgender (N = 9) | 5 (55.6%) | 5 (55.6%) | 0 (0.0%)* | 1 (11.1%) | 0 (0.0%) | 2 (22.2%) | 22 (22.2%) | 0 (0.0%) | 0 (0.0%) |
| Non-binary (N = 12) | 6 (50%) | 8 (66.7%) | 7 (58.3%)* | 0 (0.0%) | 0 (0.0%) | 2 (16.7%) | 1 (8.3%) | 0 (0.0%) | 0 (0.0%) |
| Study | |||||||||
| TSS (N = 534) | 373 (69.9%) | 248 (46.4%) | 59 (11.0%) | 52 (9.7%) | 23 (4.3%) | 107 (20.0%)* | 38 (7.1%)* | 35 (6.6%) | 13 (2.4%) |
| FORGE (N = 127) | 93 (73.2%) | 62 (48.8%) | 14 (11.0%) | 16 (12.6%) | 8 (6.3%) | 38 (29.9%)* | 20 (15.7%)* | 10 (7.9%) | 3 (2.4%) |
Differences by demographic variable evaluated using a fisher test, with statistically significant differences (p < 0.05) in bold*.