Desk 4
Once the issues just how many protected complete sexual intercourses on the last one year, the analysis demonstrated an optimistic tall aftereffect of the next details: being male, becoming cisgender, academic height, are energetic representative, are previous user. Quite the opposite, a bad affected is noticed into the details are gay and you will decades. The remainder separate details didn’t reveal a statistically extreme perception for the number of secure full intimate intercourses.
The new independent adjustable becoming male, becoming gay, getting single, being cisgender, becoming energetic affiliate being previous profiles presented an optimistic statistically tall influence on the brand new hook up-ups volume. Others independent details failed to show a critical effect on the latest hook up-ups frequency.
Ultimately, exactly how many unprotected full intimate intercourses during the last a dozen days together with hook-ups regularity emerged getting a confident statistically extreme effect on STI diagnosis, whereas what amount of protected complete intimate intercourses didn’t arrive at the importance peak.
Hypothesis 2a A first multiple linear regression analysis was run, including demographic variables and apps’ pattern of usage variables, to predict the number of protected full sex partners in active users. The number of protected full sex partners was set as the dependent variable, while demographic variables (age, sex assigned at birth, gender, educational level, sexual orientation, relational status, and relationship style) and dating apps usage variables (years of usage, apps access frequency) and motives for installing the apps were entered as covariates. The final model accounted for a significant proportion of the variance in the number of protected full sex partners in active users (R 2 = 0.20, Adjusted R 2 = 0.18, F-change(step one, 260) = 4.27, P = .040). Having a CNM relationship style, app access frequency, educational level, and being single were positively associated with the number of protected full sex partners. In contrast, looking for romantic partners or for friends were negatively associated with the considered dependent variable. Results are reported in Dining table 5 .
Table 5
Production off linear regression design entering group, relationship programs incorporate and you may purposes of setting up details while the predictors having how many secure full sexual intercourse’ partners one of energetic profiles
Hypothesis 2b A second multiple regression analysis was run to predict the number of unprotected full sex partners for active users. The number of unprotected full sex partners was set as the dependent variable, while the same demographic variables and dating apps usage and their motives for app installation variables used in the first regression analysis were entered as covariates. The final model accounted for a significant proportion of the variance in the number of unprotected full sex partners among active users (R 2 = 0.16, Adjusted R 2 = 0.14, F-change(step one, 260) = 4.34, P = .038). Looking for sexual partners https://kissbrides.com/fr/femmes-danoises-chaudes/, years of app utilization, and being heterosexual were positively associated with the number of unprotected full sex partners. In contrast, looking for romantic partners or for friends, and being male were negatively associated with the number of unprotected sexual activity partners. Results are reported in Dining table six .
Table 6
Efficiency away from linear regression model entering market, dating programs use and you will intentions out-of installations parameters since predictors to own the number of exposed full intimate intercourse’ couples among productive pages
Hypothesis 2c A third multiple regression analysis was run, including demographic variables and apps’ pattern of usage variables together with apps’ installation motives, to predict active users’ hook-up frequency. The hook-up frequency was set as the dependent variable, while the same demographic variables and dating apps usage variables used in the previous regression analyses were entered as predictors. The final model accounted for a significant proportion of the variance in hook-up frequency among active users (R 2 = 0.24, Adjusted R 2 = 0.23, F-change(step 1, 266) = 5.30, P = .022). App access frequency, looking for sexual partners, having a CNM relationship style were positively associated with the frequency of hook-ups. In contrast, being heterosexual and being of another sexual orientation (different from hetero and homosexual orientation) were negatively associated with the frequency of hook-ups. Results are reported in Table 7 .