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A cross-sectional study exploring useful indicators for low bone mineral density in male alcoholic patients

Overview of attention for article published in Neuropsychiatric Disease and Treatment, February 2018
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Title
A cross-sectional study exploring useful indicators for low bone mineral density in male alcoholic patients
Published in
Neuropsychiatric Disease and Treatment, February 2018
DOI 10.2147/ndt.s153360
Pubmed ID
Authors

Tadasu Horai, Akitoyo Hishimoto, Ikuo Otsuka, Tatsuhiro So, Kentaro Mouri, Naofumi Shimmyo, Shuken Boku, Noriaki Okishio, Ichiro Sora

Abstract

Alcohol dependence induces low bone mineral density (BMD), predicting osteoporosis, while low and moderate alcohol consumption may even increase BMD. In recent years, undercarboxylated osteocalcin (ucOC) and tartrate-resistant acid phosphatase-5b (TRACP-5b), bone turnover markers, have gained special interest as useful indicators of low BMD. However, it remains unclear whether other alcohol-related variables (eg, duration of abstinence and continuous drinking) are linked to aberrant BMD. In addition, no previous study has investigated whether ucOC or TRACP-5b is clinically useful to predict low BMD not only in the general population, but also in alcohol-dependent subjects. We recruited 275 male alcohol-dependent subjects and collected information about their drinking habits, comorbid diseases, smoking history and walking exercise behavior. BMD in each subject was determined by ultrasonography. Serum liver enzymes (AST, ALT, ALP, ChE, γ-GTP and LDH), ucOC and TRACP-5b were measured in all subjects. T-scores were calculated according to BMD for all subjects. The mean T-scores of our subjects were negatively shifted compared to the general population (-0.75±1.36 SD). We divided our subjects into a normal BMD group (n=137) and a low BMD group (n=138) according to their T-scores (T-score ≥-1 SD, normal BMD; T-score <-1 SD, low BMD). Multivariate logistic regression analysis showed that body mass index (BMI) was negatively associated with low BMD (95% CI: 0.75-0.90). By contrast, long abstinence period (95% CI: 1.40-4.21), smoking (95% CI: 1.30-5.56), hypertension (95% CI: 1.04-3.76), lactate dehydrogenase (LDH) (95% CI: 1.00-1.01) and ucOC (95% CI: 1.04-1.22) were positively associated with low BMD. In alcohol-dependent males, smoking habits and higher ucOC are associated with low BMD. Our study suggests that smoking cessation may prevent lower BMD, and ucOC may predict lower BMD in alcohol-dependent individuals.

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Mendeley readers

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The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Student > Bachelor 3 13%
Student > Ph. D. Student 2 8%
Other 1 4%
Lecturer 1 4%
Other 4 17%
Unknown 10 42%
Readers by discipline Count As %
Nursing and Health Professions 4 17%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Computer Science 1 4%
Other 3 13%
Unknown 13 54%
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 02 March 2018.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,869
of 3,120 outputs
Outputs of similar age
#285,061
of 450,135 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#49
of 84 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 30th percentile – i.e., 30% 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 450,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.