Table 3. Logistic regression model predicting odds of school-attending adolescents (N=5091) having an online romantic relationship in the past 12 months.

Predictors	Met a boy/girlfriend online in the past 12 months
Predictors	Adjusted OR	95% CI
LGBTQ identity: LGBTQ	3.43^***	2.21, 5.31
Offline access to potential partners
Live in urban or suburban area	0.64^*	0.45, 0.91
Met boy/girlfriend offline in past 12 months	1.24	0.85, 1.81
Offline supportive relationships
Social support from offline friends	0.99	0.96, 1.03
Offline popularity
Number of offline close friends	1.09^*	1.01, 1.17
Other adolescent characteristics and behaviors related to online relationship initiation
Have personal rules for online behavior	0.68^*	0.48, 0.98
Spend more than one hour of personal time online on typical day	1.90^*	1.10, 3.28
Feel somewhat or extremely safe online	1.08	0.72, 1.63
Lack in-person parental monitoring	1.15^**	1.04, 1.27
Lack technology-based parental monitoring	1.05	0.98, 1.12
Do not have depressive symptomatology	0.60^*	0.39, 0.94
Have high esteem	0.90	0.57, 1.43
Race: White	0.98	0.66, 1.44
Ethnicity: Hispanic	1.18	0.76, 1.82
Age: 16-18 vs. 13-15 years of age	1.08	0.76, 1.52
Low household income	0.61^*	0.41, 0.90
Gender: Female	0.79	0.54, 1.16
Born again or evangelical Christian	0.88	0.53, 1.45
Survey process measures
Dishonest when completing survey	0.60	0.12, 2.99
Not alone during the survey	1.24	0.87, 1.77

Note. LGBTQ = lesbian, gay, bisexual, transgender, queer;

p ≤ .05;

^**

p ≤ .01;

^***

p ≤ .001