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Adolescent substance use behavior and suicidal behavior for boys and girls: a cross-sectional study by latent analysis approach

Overview of attention for article published in BMC Psychiatry, December 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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7 tweeters

Citations

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18 Dimensions

Readers on

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63 Mendeley
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Title
Adolescent substance use behavior and suicidal behavior for boys and girls: a cross-sectional study by latent analysis approach
Published in
BMC Psychiatry, December 2017
DOI 10.1186/s12888-017-1546-1
Pubmed ID
Authors

Peng-Wei Wang, Cheng-Fang Yen

Abstract

Adolescent suicidal behavior may consist of different symptoms, including suicidal ideation, suicidal planning and suicidal attempts. Adolescent substance use behavior may contribute to adolescent suicidal behavior. However, research on the relationships between specific substance use and individual suicidal behavior is insufficient, as adolescents may not use only one substance or develop only one facet of suicidal behavior. Latent variables permit us to describe the relationships between clusters of related behaviors more accurately than studying the relationships between specific behaviors. Thus, the aim of this study was to explore how adolescent substance use behavior contributes to suicidal behavior using latent variables representing adolescent suicidal and substance use behaviors. A total of 13,985 adolescents were recruited using a stratified random sampling strategy. The participants indicated whether they had experienced suicidal ideation, planning and attempts and reported their cigarette, alcohol, ketamine and MDMA use during the past year. Latent analysis was used to examine the relationship between substance use and suicidal behavior. Adolescents who used any one of the above substances exhibited more suicidal behavior. The results of latent variables analysis revealed that adolescent substance use contributed to suicidal behavior and that boys exhibited more severe substance use behavior than girls. However, there was no gender difference in the association between substance use and suicidal behavior. Substance use behavior in adolescents is related to more suicidal behavior. In addition, the contribution of substance use to suicidal behavior does not differ between genders.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Bachelor 9 14%
Researcher 7 11%
Student > Postgraduate 4 6%
Student > Doctoral Student 4 6%
Other 9 14%
Unknown 20 32%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Social Sciences 7 11%
Psychology 6 10%
Arts and Humanities 4 6%
Neuroscience 2 3%
Other 5 8%
Unknown 28 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 February 2018.
All research outputs
#6,347,644
of 12,516,641 outputs
Outputs from BMC Psychiatry
#1,493
of 2,921 outputs
Outputs of similar age
#136,706
of 380,810 outputs
Outputs of similar age from BMC Psychiatry
#167
of 413 outputs
Altmetric has tracked 12,516,641 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,921 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 48th percentile – i.e., 48% 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 380,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 413 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 59% of its contemporaries.