The effects of employing Smartphone Dating Applications on Sexual Risk Behaviours in university students in Hong Kong

The effects of employing Smartphone Dating Applications on Sexual Risk Behaviours in university students in Hong Kong

Abstract

Relationship applications (apps) on smart phones have grown to be ever more adam4adam popular. The goal of this research would be to explore the relationship involving the usage of dating apps and high-risk behaviours that are sexual. Data had been gathered in four college campuses in Hong Kong. Topics finished a structured questionnaire asking concerning the usage of dating apps, intimate behaviours, and sociodemographics. Several linear and logistics regressions had been utilized to explore factors related to intimate danger behaviours. Six hundred sixty-six topics had been contained in the information analysis. Facets connected with having unprotected intercourse that is sexual more life time sexual lovers included usage of dating apps (? = 0.93, p dining Table 1. Demographic information of individuals.

Facets connected with having intercourse experience

Facets connected with having intercourse that is sexual, the corresponding chi-square data, modified odds ratios (aOR) produced by numerous logistic regression analyses and model evaluation data are shown in dining Table 2. All facets which were significant into the chi-square analysis stayed statistically significant when you look at the numerous logistic regression analysis with the exception of gender and month-to-month earnings. Facets connected with having sexual activity experience included making use of dating apps (aOR: 1.87), being older (aOR: 1.39), being bisexual or homosexual (aOR: 4.14), currently being in a dating relationship (aOR: 2.14), being a present cigarette cigarette smoker (aOR: 6.14) being an ongoing drinker (aOR: 2.68).

Facets linked to the amount of intimate lovers

2 hundred sixty topics that has sexual activity experience had been further analysed to explore facets related to their intimate behaviours. Their demographic info is shown in dining Table 3.

The outcome of multiple linear regression analysis discovered that facets related to more life time sexual lovers had been being a person of dating apps, reporting very very first sexual activity before 16 years old (the chronilogical age of permission in Hong Kong), being older, having a month-to-month earnings more than HKD$5,000 being a smoker that is current. Facets connected with more sexual lovers into the past a couple of months had been being a person of dating apps, increasingly being in a dating relationship and having a monthly earnings more than HKD$5,000. Factor related to a higher range intimate lovers in past times 1 thirty days had been being currently in a relationship that is dating having a month-to-month earnings more than HKD$5,000 just. The outcomes are shown in Table 4.

Besides, we discovered no connection results “between utilization of dating apps and gender” and “between use of dating apps and intimate orientation” (data maybe not shown).

The length of time using dating apps was put into the regression model to further explore the association between length of time using dating apps and number of sexual partners in the last 3 months and in the last 1 month. Topics utilizing apps that are dating a lot more than one year (in accordance with nonusers) had been connected with a greater wide range of intimate lovers within the last few a few months and final four weeks. The outcome are shown in dining Table 5.

Facets related to dangerous intimate behaviours

The outcome of multiple linear regression analysis discovered that facets related to having unprotected sexual intercourse with additional life time sexual partners included being a person of dating apps, having one’s first intercourse before 16 years old, being older, becoming in a relationship, having a month-to-month earnings higher than HKD$5,000, being a present smoker, and being a present drinker. The outcomes are shown in Table 4. The outcome of numerous logistic regression found that users of dating apps (aOR: 0.52) and present drinkers (aOR: 0.40) were less inclined to have constant condom usage. The outcomes are shown in dining Table 6.

Like the past outcomes, we discovered no connection results “between usage of dating apps and gender” and “between use of dating apps and intimate orientation” (data maybe perhaps not shown).

Users of dating apps (aOR: 1.93) and bisexual or homosexual topics (aOR: 2.57) were much more likely to not have utilized condoms the final time that they had sexual activity. Furthermore, feminine subjects had been very likely to report she had sexual intercourse (aOR: 2.00) that she or her partner did not use a condom the last time. The outcome are shown in Table 7. Logistic regression analysis discovered that the period of time utilizing dating apps wasn’t a factor that is significant with high-risk sexual behaviours (information maybe maybe not shown). Much like the past outcomes, we discovered no relationship results “between usage of dating apps and gender” and “between use of dating apps and intimate orientation” (data maybe maybe not shown).

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