Table 1.
Descriptive statistics for app users’ characteristics and dysmenorrhea and PMS-related variables (N = 72)
| Age, y | 26.96 ± 4.303 |
|---|---|
| Occupation | |
| Undergraduate student | 17 |
| Graduate student | 15 |
| White-collar worker | 15 |
| Professional worker | 25 |
| Experience of dysmenorrhea | |
| Yes | 69 |
| No | 3 |
| Unsure | 0 |
| Dysmenorrhea pain score | |
| First day of period | 5.65 ± 2.050 |
| Second day of period | 4.54 ± 2.276 |
| Experience of PMS | |
| Yes | 59 |
| No | 1 |
| Unsure | 13 |
| Mean PMS score | |
| Yes | 31.34 |
| No | 11.00 |
| Unsure | 21.54 |
| Dysmenorrhea relief method | |
| Enduring | 21 (29.2) |
| Resting | 36 (50.0) |
| Applying hot pack on abdomen | 28 (38.9) |
| Taking an analgesic | 61 (84.7) |
| Abdomen massage | 4 (5.6) |
| Visiting women’s health clinic | 1 (1.4) |
| Menstrual app usage experience | |
| Have experience | 53 (73.6) |
| Used menus | |
| Menstruation tracking | 52 (98.1) |
| Ovulation cycle checking | 22 (41.5) |
| Symptom recording | 8 (15.1) |
| Alarm for symptoms | 5 (9.4) |
| Collecting information | 0 (0) |
| Other (eg, intercourse record) | 1 (1.9) |
| Influence | |
| Understanding the menstruation cycle | 50 (90.3) |
| Getting to know methods for dysmenorrhea relief | 1 (1.9) |
| Understanding the PMS pattern | 13 (24.5) |
| Getting to know method of PMS relief | 1 (1.9) |
| Other (eg, sexual intercourse record) | 2 (3.8) |
| Menstrual app usage experience for managing user’s dysmenorrhea and/or PMS | |
| Have experience | 8 (11.1) |
| No experience | 64 (88.9) |
Values are mean ± SD or n (%), unless otherwise indicated.
PMS: premenstrual syndrome.