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Article details
Title
Association between total serum cholesterol and suicide attempts in subjects with major depressive disorder: Exploring the role of clinical and biochemical confounding factors
Published in
Clinical Biochemistry, December 2016
DOI 10.1016/j.clinbiochem.2016.11.035
Pubmed ID
Authors
Abstract

We tested whether serum total cholesterol levels might be associated with recent suicide attempts in subjects with major depressive disorder, after controlling for relevant individual characteristics. We conducted a comparative cross-sectional study including consecutive inpatients with major depressive disorder. We differentiated subjects admitted for a recent serious (violent or non-violent) suicide attempt and those without such recent history. Total cholesterol was measured from fasting blood tests. At univariate analyses, suicide attempters had levels of total cholesterol (174.0±45.7mg/dL) lower than non-attempters (193.9±42.6mg/dL) (p=0.004). This was confirmed among both violent (174.1±46.2mg/dL) and non-violent (173.8±46.1mg/dL) suicide attempters (p=0.035 and 0.016, respectively). However, logistic regression analyses, sequentially including demographic, clinical (comorbid alcohol and personality disorders), and biochemical factors, did not show any association between serum cholesterol and recent suicide attempts (p=0.172). Similar findings were observed in multinomial logistic regression analyses, for both violent (p=0.512) and non-violent (p=0.157) suicide attempts. Our findings do not support the hypothesis that serum cholesterol and suicide attempts are associated among subjects with major depressive disorder. The identification of valid and accessible biological markers of suicidal behaviors still represents a challenge for future research.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 12%
Student > Ph. D. Student 8 10%
Researcher 8 10%
Other 6 7%
Student > Bachelor 6 7%
Other 11 14%
Unknown 32 40%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 18 22%
Psychology 10 12%
Neuroscience 6 7%
Nursing and Health Professions 4 5%
Agricultural and Biological Sciences 4 5%
Other 8 10%
Unknown 31 38%
Attention Score in Context

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 05 December 2016.
All research outputs
#23,874,716
of 29,109,766 outputs
Outputs from Clinical Biochemistry
#1,791
of 2,514 outputs
Outputs of similar age
#319,226
of 419,827 outputs
Outputs of similar age from Clinical Biochemistry
#25
of 58 outputs
Altmetric has tracked 29,109,766 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,514 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.