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Moderating effects of depressive symptoms on the relationship between problematic use of the Internet and sleep problems in Korean adolescents

Overview of attention for article published in BMC Psychiatry, September 2018
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Title
Moderating effects of depressive symptoms on the relationship between problematic use of the Internet and sleep problems in Korean adolescents
Published in
BMC Psychiatry, September 2018
DOI 10.1186/s12888-018-1865-x
Pubmed ID
Authors

Min-Hyeon Park, Subin Park, Kyu-In Jung, Johanna Inhyang Kim, Soo Churl Cho, Bung-Nyun Kim

Abstract

Adolescence is a period of marked sleep pattern changes and sleep problems, which may result from both endogenous and exogenous factors. Among the various factors affecting adolescent sleep, depression and problematic Internet use (PIU) have received considerable attention. We examined if there is a different PIU effect on sleep between depressed group and non-depressed groups. Data for a total of 766 students' between 7th and 11th grades were analyzed. We assessed various variables related sleep to problems and depression and compared those variables between an adolescent group with problematic Internet use (PIUG) and an adolescent group with normal Internet use (NIUG). One hundred fifty two participants were classified as PIUG, and 614 were classified as NIUG. Compared with the NIUG, the members of the PIUG were more prone to insomnia, excessive daytime sleepiness and sleep-wake behavior problems. The PIUG also tended to include more evening types than the NIUG. Interestingly, the effect of Internet use problems on sleep problems appeared to be different according to the presence or absence of the moderating effect of depression. When we considered the moderating effect of depression, the effect of Internet use problems on sleep-wake behavior problems, insomnia and excessive daytime sleepiness increased with increasing Young's Internet Addiction Scale (IAS) scores in the non-depressed group. However, in the depressed group, the effects of Internet use problems on sleep-wake behavior problems and insomnia did not change with increasing Internet use problems, and the effect of Internet use problems on excessive daytime sleepiness was relatively decreased with increasing Internet use problems in the depressed group. This study demonstrated that the effect of PIU on sleep presented differently between the depressed and non-depressed groups. PIU is associated with poorer sleep in non-depressed adolescents but not in depressed adolescents. This finding might be observed because PIU may be the biggest contributor to sleep problems in the problematic Internet user without depression, but in the problematic Internet user with depression, depression might be a more important contributor to sleep problems; thus, the influence of PIU on sleep effect might be diluted.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 9%
Student > Ph. D. Student 8 7%
Student > Doctoral Student 8 7%
Student > Master 7 6%
Lecturer 7 6%
Other 21 19%
Unknown 52 46%
Readers by discipline Count As %
Nursing and Health Professions 15 13%
Medicine and Dentistry 11 10%
Psychology 11 10%
Social Sciences 6 5%
Neuroscience 5 4%
Other 8 7%
Unknown 57 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2018.
All research outputs
#18,648,325
of 23,102,082 outputs
Outputs from BMC Psychiatry
#3,962
of 4,772 outputs
Outputs of similar age
#257,498
of 335,392 outputs
Outputs of similar age from BMC Psychiatry
#92
of 106 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.