Dining table cuatro
Just like the inquiries just how many safe full intimate intercourses about past 1 year, the study presented a positive significant effectation of the following parameters: getting male, are cisgender, instructional height, are active user, are previous user. On the other hand, a terrible affected is noticed to your details are homosexual and you can years. The remainder independent details don’t tell you a mathematically significant effect for the level of protected complete intimate intercourses.
The brand new separate adjustable are male, getting homosexual, being single, are cisgender, getting energetic representative and being previous pages exhibited a confident mathematically high influence on the brand new link-ups frequency. Another separate details did not let you know a life threatening effect on brand new link-ups frequency.
Ultimately, the amount of unprotected full intimate intercourses during the last twelve weeks together with link-ups frequency emerged to own an optimistic mathematically tall influence on STI prognosis, while the amount of secure complete sexual intercourses don’t arrive at the significance height.
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 kissbrides.com passez Г ce site 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 Dining table 5 .
Table 5
Output of linear regression design entering market, matchmaking apps utilize and you will purposes out of setting up variables while the predictors getting what amount of protected full sexual intercourse’ lovers among active pages
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, 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 from linear regression model typing market, relationships applications utilize and you may intentions off installations parameters since predictors getting the number of unprotected complete sexual intercourse’ couples among productive users
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 .