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Gender differences in factors associated with smartphone addiction: a cross-sectional study among medical college students

Overview of attention for article published in BMC Psychiatry, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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1 policy source
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Title
Gender differences in factors associated with smartphone addiction: a cross-sectional study among medical college students
Published in
BMC Psychiatry, October 2017
DOI 10.1186/s12888-017-1503-z
Pubmed ID
Authors

Baifeng Chen, Fei Liu, Shushu Ding, Xia Ying, Lele Wang, Yufeng Wen

Abstract

Smartphones are becoming increasingly indispensable in everyday life for most undergraduates in China, and this has been associated with problematic use or addiction. The aim of the current study was to investigate the prevalence of smartphone addiction and the associated factors in male and female undergraduates. This cross-sectional study was conducted in 2016 and included 1441 undergraduate students at Wannan Medical College, China. The Smartphone Addiction Scale short version (SAS-SV) was used to assess smartphone addiction among the students, using accepted cut-offs. Participants' demographic, smartphone usage, and psycho-behavioral data were collected. Multivariate logistic regression models were used to seek associations between smartphone addiction and independent variables among the males and females, separately. The prevalence of smartphone addiction among participants was 29.8% (30.3% in males and 29.3% in females). Factors associated with smartphone addiction in male students were use of game apps, anxiety, and poor sleep quality. Significant factors for female undergraduates were use of multimedia applications, use of social networking services, depression, anxiety, and poor sleep quality. Smartphone addiction was common among the medical college students investigated. This study identified associations between smartphone usage, psycho-behavioral factors, and smartphone addiction, and the associations differed between males and females. These results suggest the need for interventions to reduce smartphone addiction among undergraduate students.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 794 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 794 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 112 14%
Student > Master 98 12%
Student > Ph. D. Student 54 7%
Researcher 39 5%
Student > Postgraduate 36 5%
Other 134 17%
Unknown 321 40%
Readers by discipline Count As %
Psychology 122 15%
Medicine and Dentistry 95 12%
Nursing and Health Professions 72 9%
Social Sciences 32 4%
Computer Science 18 2%
Other 110 14%
Unknown 345 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 June 2023.
All research outputs
#3,679,566
of 23,005,189 outputs
Outputs from BMC Psychiatry
#1,330
of 4,743 outputs
Outputs of similar age
#67,283
of 324,392 outputs
Outputs of similar age from BMC Psychiatry
#18
of 63 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 324,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.