Table 1.
Demographic and call characteristics of callers to the Hangzhou Mental Health Hotline(Part 1)
| Suicidal ideation | ||||
|---|---|---|---|---|
| Characteristic | Overall, N = 128,2451 | Absent, N = 115,9601 | Present, N = 12,2851 | P value2 |
| Sex | 0.014 | |||
| Male | 58878 (45.9%) | 53367 (46.0%) | 5511 (44.9%) | |
| Female | 69367 (54.1%) | 62593 (54.0%) | 6774 (55.1%) | |
| Age | <0.001 | |||
| 10-19 | 13497 (10.5%) | 10370 (8.9%) | 3127 (25.5%) | |
| 20-29 | 34183 (26.7%) | 29063 (25.1%) | 5120 (41.7%) | |
| 30-39 | 23598 (18.4%) | 21633 (18.7%) | 1965 (16.0%) | |
| 40-49 | 12637 (9.9%) | 12052 (10.4%) | 585 (4.8%) | |
| 50-59 | 3888 (3.0%) | 3726 (3.2%) | 162 (1.3%) | |
| >60 | 742 (0.6%) | 715 (0.6%) | 27 (0.2%) | |
| Unknown | 39700 (31.0%) | 38401 (33.1%) | 1299 (10.6%) | |
| Marital Status | <0.001 | |||
| Single | 59913 (46.7%) | 51319 (44.3%) | 8594 (70.0%) | |
| Married | 24639 (19.2%) | 22669 (19.5%) | 1970 (16.0%) | |
| Divorced or widowed | 8337 (6.5%) | 7754 (6.7%) | 583 (4.7%) | |
| Unknown | 35356 (27.6%) | 34218 (29.5%) | 1138 (9.3%) | |
| Educational Background | <0.001 | |||
| Junior high school or below | 14664 (11.4%) | 12535 (10.8%) | 2129 (17.3%) | |
| High school and secondary school | 21708 (16.9%) | 18861 (16.3%) | 2847 (23.2%) | |
| Undergraduate degree or college | 36306 (28.3%) | 31954 (27.6%) | 4352 (35.4%) | |
| Master’s or PhD degree | 4082 (3.2%) | 3686 (3.2%) | 396 (3.2%) | |
| Unknown | 51485 (40.1%) | 48924 (42.2%) | 2561 (20.8%) | |
| Occupation | <0.001 | |||
| White-collar | 51527 (40.2%) | 44564 (38.4%) | 6963 (56.7%) | |
| Blue-collar | 10521 (8.2%) | 9505 (8.2%) | 1016 (8.3%) | |
| Unemployment | 20037 (15.6%) | 17468 (15.1%) | 2569 (20.9%) | |
| Retirement | 1851 (1.4%) | 1790 (1.5%) | 61 (0.5%) | |
| Unknown | 44309 (34.6%) | 42633 (36.8%) | 1676 (13.6%) | |
| Call Time | 0.074 | |||
| Daytime | 62593 (48.8%) | 56503 (48.7%) | 6090 (49.6%) | |
| Overnight | 65652 (51.2%) | 59457 (51.3%) | 6195 (50.4%) | |
| Duration (min) | <0.001 | |||
| 1-15 minutes | 80045 (62.4%) | 75908 (65.5%) | 4137 (33.7%) | |
| 16-30 minutes | 27713 (21.6%) | 23777 (20.5%) | 3936 (32.0%) | |
| 31-45 minutes | 12031 (9.4%) | 9818 (8.5%) | 2213 (18.0%) | |
| 46-60 minutes | 5242 (4.1%) | 4143 (3.6%) | 1099 (8.9%) | |
| >60 minutes | 3214 (2.5%) | 2314 (2.0%) | 900 (7.3%) | |
| Quarter | <0.001 | |||
| Q1 | 29928 (23.3%) | 27158 (23.4%) | 2770 (22.5%) | |
| Q2 | 32366 (25.2%) | 29405 (25.4%) | 2961 (24.1%) | |
| Q3 | 34503 (26.9%) | 31013 (26.7%) | 3490 (28.4%) | |
| Q4 | 31448 (24.5%) | 28384 (24.5%) | 3064 (24.9%) | |
| Region | <0.001 | |||
| Hangzhou | 45161 (35.2%) | 42587 (36.7%) | 2574 (21.0%) | |
| Zhejiang province | 32102 (25.0%) | 28780 (24.8%) | 3322 (27.0%) | |
| Other province | 50982 (39.8%) | 44593 (38.5%) | 6389 (52.0%) | |
| Caller | <0.001 | |||
| Calls for oneself | 112018 (87.3%) | 100351 (86.5%) | 11667 (95.0%) | |
| Calls for others | 16227 (12.7%) | 15609 (13.5%) | 618 (5.0%) | |
1n (%); Mean (IQR)
2Pearson’s Chi-squared test