Desk 4
Given that issues the number of safe complete intimate intercourses throughout the past 12 months, the research demonstrated a confident tall effect of the next variables: becoming men, are cisgender, academic height, becoming energetic affiliate, getting former user. On the contrary, an awful affected try observed on the variables being gay and you will many years. The rest independent variables failed to reveal a statistically high perception to the level of protected full intimate intercourses.
The brand new separate varying becoming male, being homosexual, are unmarried, being cisgender, getting energetic affiliate being previous users shown a positive mathematically high impact on brand new hook up-ups frequency. One other separate variables did not show a significant effect on the fresh new connect-ups volume.
Eventually, exactly how many exposed full intimate intercourses over the last several months as well as the connect-ups volume came up getting a positive statistically high affect STI diagnosis, while what number of safe full sexual intercourses did not come to the value top.
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 1, 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 Table 5 .
Table 5
Efficiency off linear regression model typing group, relationships programs use and you can objectives out of installment variables as predictors to possess just how many secure complete sexual intercourse‘ people among 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(1, 260) = 4.34, P = .038). Looking for sexual partners, 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 6 .
Table 6
Productivity off linear regression model typing group, dating programs usage and you can motives away from installation parameters due to the fact predictors having the number of exposed full intimate intercourse‘ couples one of 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(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 .
