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. 2020 Oct 30;22(10):e16378. doi: 10.2196/16378

Table 2.

Characteristics of the responses from participants about their dating app use.

Variable Intervention group (N=290), n (%) or mean (SD) Control group (N=288), n (%) or mean (SD) P valuea
Ever used a dating website

.51

Yes 139 (47.9%) 147 (51.0%)

No 151 (52.1%) 141 (49.0%)
Source of information about dating apps



Internet 118 (34.8%) 140 (52.4%) <.001

Friends 147 (43.3%) 119 (44.6%) .82

Teachers or school staff 52 (15.3%) 4 (1.5%) <.001

Magazine or fashion materials 3 (0.9%) 2 (0.7%) .75

Family/parents 19 (5.6%) 2 (0.7%) <.001
Social networking platforms



Social media platform (eg, Facebook and Instagram) 96 (44.0%) 101 (44.7%) .49

Dating apps 42 (19.3%) 77 (62.1%) <.001

Instant chatline (eg, WhatsApp and WeChat) 78 (35.8%) 43 (34.7%) <.001

Others (eg, school and online game) 2 (0.9%) 4 (3.2%) .03
Reasons for using dating apps



Making new friends 73 (29.9%) 85 (33.5%) .38

Out of curiosity 83 (34.0%) 87 (35.6%) .77

Finding friends with similar interest 61 (25.0%) 60 (24.5%) .54

Sexual relationship 11 (4.5%) 9 (3.7%) .59

Long-term relationship 16 (6.6%) 13 (5.3%) .39
Encounter of unhappiness while using dating apps

.77

Yes 38 (27.3%) 41 (27.9%)

No 101 (72.6%) 106 (72.1%)
Types of problem encountered with dating apps



Financially scammed 7 (18.4%) 5 (12.5%) .65

Cyberbully/blackmail 5 (12.3%) 4 (10.0%) .74

Privacy issues 15 (39.5%) 19 (47.5%) .86

Sexual assault 11 (28.9%) 12 (30.0%) .73
Dating apps and their addiction implications



Time spent on dating app is longer than anticipated

.20


Disagree 61 (44.2%) 55 (37.4%)


Agree 77 (55.8%) 92 (62.6%)

Affect work or school life

.30


Disagree 83 (60.1%) 96 (65.3%)


Agree 55 (39.9%) 51 (34.7%)

Affect sleep

.83


Disagree 77 (55.8%) 83 (56.5%)


Agree 61 (44.2%) 64 (43.5%)

Affect relationship with friends/family

.67


Disagree 104 (25.2%) 107 (72.8%)


Agree 35 (74.8%) 40 (27.2%)
Outcomes



GSEb 23.95 (5.25) 22.65 (4.85) .27

RPSc 5.96 (0.95) 5.97 (0.90) .85

PHQ-2d 3.86 (1.33) 4.10 (1.38) .09

aChi-square test is used to compare the statistical difference in categorical variables between groups. Mann-Whitney U test is also used.

bGSE: general self-efficacy scale.

cRPS: risk propensity scale.

dPHQ-2: Patient Health Questionnaire.