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Depression, psychological distress and Internet use among community-based Australian adolescents: a cross-sectional study

Overview of attention for article published in BMC Public Health, April 2017
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Title
Depression, psychological distress and Internet use among community-based Australian adolescents: a cross-sectional study
Published in
BMC Public Health, April 2017
DOI 10.1186/s12889-017-4272-1
Pubmed ID
Authors

Erin Hoare, Karen Milton, Charlie Foster, Steven Allender

Abstract

There has been rapid increase in time spent using Internet as a platform for entertainment, socialising and information sourcing. This study aimed to evaluate the relationship between duration of time spent using Internet for leisure, depressive symptoms, and psychological distress among Australian adolescents. Depressive symptoms were indicated by the youth self-report module from the Diagnostic and Statistical Manual of Mental Disorders Version IV criteria, and psychological distress was measured by Kessler Psychological Distress scale. Internet use was self-reported based on use on an average weekday, and an average weekend day. Multivariate logistic regression models were used to examine the relationship between Internet use and mental health outcomes. Models were adjusted for potential confounders: age; relative level of socio-economic disadvantage, and body mass index. Adolescents were aged 11-17 years (M = 14.5 years, SD = 2.04 years). Greatest time spent using internet (≥7 h a day) was significantly associated with experiencing depressive symptoms among females (OR = 2.09, 95% CI = 1.16, 3.76, p < 0.05), and high/very high levels of psychological distress for male (OR = 2.23, 95% CI = 1.36, 3.65, p < 0.01) and female (OR = 2.38, 95% CI = 1.55, 3.67, p < 0.01) adolescents. With current initiatives to improve health behaviours among adolescents to improve physical health outcomes such as overweight or obesity, it is imperative that the reciprocal relationship with mental health is known and included in such public health developments. Internet use may interact with mental health and therefore could be a modifiable risk factor to reach and improve mental health outcomes for this age group. Caution is advised in interpretation of findings, with some inconsistencies emerging from this evidence.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 184 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 15%
Student > Bachelor 20 11%
Student > Ph. D. Student 15 8%
Student > Postgraduate 12 7%
Researcher 10 5%
Other 38 21%
Unknown 62 34%
Readers by discipline Count As %
Medicine and Dentistry 28 15%
Psychology 23 13%
Nursing and Health Professions 22 12%
Social Sciences 11 6%
Sports and Recreations 6 3%
Other 27 15%
Unknown 67 36%
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 13 September 2017.
All research outputs
#15,924,516
of 25,199,243 outputs
Outputs from BMC Public Health
#11,672
of 16,850 outputs
Outputs of similar age
#179,370
of 315,660 outputs
Outputs of similar age from BMC Public Health
#183
of 236 outputs
Altmetric has tracked 25,199,243 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 16,850 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 315,660 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 236 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.