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. 2015 Mar 20;1:19–25. doi: 10.1016/j.abrep.2015.03.002

Table 2.

Bootstrappeda correlation matrix with 95% bias-corrected accelerated confidence interval between perceived Internet addiction and the study variables.

Measure Perceived Internet addiction BCa 95% CI
Mobile vs. non-mobile .03 − .03, .09
Age − .10⁎⁎ − .16, − .03
Gender .06 .001, .12
Relationship status .03 − .03, .09
Weekly Internet useb .27⁎⁎ .21, .32
History of Internet usec − .02 − .10, .04
Expected Internet usaged − .01 − .08, .05
Games and/or gambling .04 − .02, .10
Accessing general information and news − .12⁎⁎ − .18, − .06
Administration − .09⁎⁎ − .15, − .03
Listening to music < .01 − .06, .06
Watching videos and movies .08⁎⁎ .02, .14
E-mailing and online chatting − .04 − .10, .02
Meeting new people .06 .003, .11
Shopping .02 − .04, .08
Accessing adult content .09⁎⁎ .02, .15
Social networking .01 − .05, .08
Engaging in other online activities < − .01 − .07, .06
a

Bootstrap results are based on 10,000 bootstrap samples.

b

As per estimated hours.

c

As per years.

d

This variable relates to the following question: “If for technical reason(s), the most commonly used three online activities were not accessible, would you still switch on your computer (or other internet-enabled device) for other non-work online activities? (Yes/No).

Correlation is significant at .05.

⁎⁎

Correlation is significant at .01.