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Risk-factor differences for nonsuicidal self-injury and suicide attempts in Mexican psychiatric patients

Overview of attention for article published in Neuropsychiatric Disease and Treatment, July 2016
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2 tweeters

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26 Mendeley
Title
Risk-factor differences for nonsuicidal self-injury and suicide attempts in Mexican psychiatric patients
Published in
Neuropsychiatric Disease and Treatment, July 2016
DOI 10.2147/ndt.s110044
Pubmed ID
Authors

Carlos Alfonso Tovilla-Zarate, Beatriz Camarena, Thelma Beatriz González-Castro, Isela E Juárez-Rojop, Lilia López-Narvaez, Alicia E González-Ramón, Yazmín Hernández-Díaz, Ana Fresán

Abstract

The present study compared sociodemographic characteristics, comorbidities with substance use, and impulsivity features in three groups of psychiatric patients - suicide attempters, nonsuicidal self-injury, and nonsuicidal without self-injury - to determine the predictive factors for nonsuicidal self-injury or suicide behavior. Demographic features and self-reported substance use were assessed in 384 Mexican psychiatric patients. Impulsivity features were evaluated using the Plutchik Impulsivity Scale. Comparison analyses between groups were performed and a logistic regression model used to determine the factors associated with nonsuicidal with self-injury behavior and suicidal behavior. Different predictive factors were observed for nonsuicidal self-injury and suicidal behavior. Females were more likely to present nonsuicidal self-injury behaviors (odds ratio [OR] 0.42, 95% confidence interval [CI] 0.18-0.93; P=0.03). For suicide attempters, the factors associated were younger age (OR 0.89, 95% CI 0.85-0.93; P<0.001), less than 6 years of schooling (OR 0.2, 95% CI 0.06-0.6; P=0.004), and higher impulsivity traits, such as self-control (OR 1.19, 95% CI 1.03-1.36; P=0.01), planning of future actions (OR 0.79, 95% CI 0.66-0.95; P=0.01), and physiological behavior (OR 1.34, 95% CI 1.01-1.78; P=0.03). Our results show that in a Mexican population, impulsivity features are predictors for suicide attempts, but not for self-injury. Other factors related to sociocultural background and individual features (such as personality) may be involved in this behavioral distinction, and should be studied in future research aimed at better understanding of both self-harmful behaviors.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Master 4 15%
Student > Doctoral Student 3 12%
Student > Bachelor 3 12%
Librarian 3 12%
Other 6 23%
Readers by discipline Count As %
Psychology 11 42%
Medicine and Dentistry 5 19%
Nursing and Health Professions 2 8%
Neuroscience 2 8%
Computer Science 2 8%
Other 4 15%

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 July 2016.
All research outputs
#9,125,940
of 14,533,317 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,454
of 2,442 outputs
Outputs of similar age
#142,797
of 261,164 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#81
of 97 outputs
Altmetric has tracked 14,533,317 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 31st percentile – i.e., 31% 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 261,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.