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The health belief model and number of peers with internet addiction as inter-related factors of Internet addiction among secondary school students in Hong Kong

Overview of attention for article published in BMC Public Health, March 2016
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Title
The health belief model and number of peers with internet addiction as inter-related factors of Internet addiction among secondary school students in Hong Kong
Published in
BMC Public Health, March 2016
DOI 10.1186/s12889-016-2947-7
Pubmed ID
Authors

Yanhong Wang, Anise M. S. Wu, Joseph T. F. Lau

Abstract

Students are vulnerable to Internet addiction (IA). Influences of cognitions based on the Health Belief Model (HBM) and perceived number of peers with IA (PNPIA) affecting students' IA, and mediating effects involved, have not been investigated. This cross-sectional study surveyed 9518 Hong Kong Chinese secondary school students in the school setting. In this self-reported study, the majority (82.6 %) reported that they had peers with IA. Based on the Chinese Internet Addiction Scale (cut-off =63/64), the prevalence of IA was 16.0 % (males: 17.6 %; females: 14.0 %). Among the non-IA cases, 7.6 % (males: 8.7 %; females: 6.3 %) perceived a chance of developing IA in the next 12 months. Concurring with the HBM, adjusted logistic analysis showed that the Perceived Social Benefits of Internet Use Scale (males: Adjusted odds ratio (ORa) = 1.19; females: ORa = 1.23), Perceived Barriers for Reducing Internet Use Scale (males: ORa = 1.26; females: ORa = 1.36), and Perceived Self-efficacy for Reducing Internet Use Scale (males: ORa = 0.66; females: ORa = 0.56) were significantly associated with IA. Similarly, PNPIA was significantly associated with IA ('quite a number': males: ORa = 2.85; females: ORa = 4.35; 'a large number': males: ORa = 3.90; females: ORa = 9.09). Controlling for these three constructs, PNPIA remained significant but the strength of association diminished ('quite a number': males: multivariate odds ratio (ORm) = 2.07; females: ORm = 2.44; 'a large number': males: ORm = 2.39; females: ORm = 3.56). Hence, the association between PNPIA and IA was partially mediated (explained) by the three HBM constructs. Interventions preventing IA should change these constructs. In sum, prevalence of IA was relatively high and was associated with some HBM constructs and PNPIA, and PNPIA also partially mediated associations between HBM constructs and IA. Huge challenges are expected, as social relationships and an imbalance of cost-benefit for reducing Internet use are involved. Perceived susceptibility and perceived severity of IA were relatively low and the direction of their associations with IA did not concur with the HBM. Group cognitive-behavioral interventions involving peers with IA or peers recovered from IA are potentially useful to modify the HBM constructs and should be tested for efficacy.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Bangladesh 1 <1%
France 1 <1%
Vietnam 1 <1%
Unknown 181 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 15%
Student > Ph. D. Student 22 12%
Student > Bachelor 20 11%
Researcher 16 9%
Lecturer 13 7%
Other 39 21%
Unknown 48 26%
Readers by discipline Count As %
Psychology 34 18%
Nursing and Health Professions 26 14%
Medicine and Dentistry 25 14%
Social Sciences 11 6%
Computer Science 7 4%
Other 25 14%
Unknown 57 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 March 2016.
All research outputs
#16,159,666
of 25,540,105 outputs
Outputs from BMC Public Health
#12,336
of 17,686 outputs
Outputs of similar age
#172,086
of 315,313 outputs
Outputs of similar age from BMC Public Health
#162
of 225 outputs
Altmetric has tracked 25,540,105 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,686 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.