Table 1.
Participant characteristics (N=31).
| Variable | Values | ||
| Age (years), mean (SD) | 30.6 (6.4) | ||
| Ethnicity, n (%) | |||
|
|
Malay | 12 (39) | |
|
|
Chinese | 16 (52) | |
|
|
Indian | 1 (3) | |
|
|
Mixed | 2 (6) | |
| Had been tested for HIV, n (%) | |||
|
|
In the last 3 months | 12 (39) | |
|
|
In the last 4 to 6 months | 12 (39) | |
|
|
In the last 7 to 9 months | 2 (6) | |
|
|
In the last 10 to 12 months | 5 (16) | |
| Had ever taken PrEPa, n (%) | |||
|
|
Yes | 16 (52) | |
|
|
No | 15 (48) | |
| Taking PrEP (n=16), n (%) | |||
|
|
Yes | 11 (69) | |
|
|
No | 5 (31) | |
| Any drug use (past 6 months), n (%) | |||
|
|
Yes | 7 (23) | |
|
|
No | 24 (77) | |
| Substance used (past 6 months), n (%)b | |||
|
|
Alcohol | 11 (35) | |
|
|
Crystal methamphetamine | 4 (13) | |
|
|
Gamma hydroxybutyrate | 2 (6) | |
|
|
Cigarettes | 5 (16) | |
|
|
Other drugs | 1 (3) | |
| PHQ-2c scored, n (%) | |||
|
|
<3 | 21 (68) | |
|
|
≥3 | 10 (32) | |
| Smartphone system, n (%) | |||
|
|
Android | 15 (48) | |
|
|
iOS | 16 (52) | |
| App used, n (%)e | |||
|
|
29 (94) | ||
|
|
25 (81) | ||
|
|
27 (87) | ||
|
|
Telegram | 19 (61) | |
|
|
Grindr | 15 (48) | |
|
|
24 (77) | ||
|
|
Blued | 6 (19) | |
|
|
8 (26) | ||
|
|
Discord | 6 (19) | |
|
|
Jack’d | 2 (6) | |
|
|
Scruff | 2 (6) | |
aPrEP: pre-exposure prophylaxis.
bSome participants used multiple drugs.
cPHQ-2: Patient Health Questionnaire-2.
dThe PHQ-2 was used to screen for depression. Major depression was likely when the score was ≥3.
eSome participants used multiple apps.