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Association of TCM body constitution with insulin resistance and risk of diabetes in impaired glucose regulation patients

Overview of attention for article published in BMC Complementary Medicine and Therapies, September 2017
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Mentioned by

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2 tweeters

Citations

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19 Dimensions

Readers on

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32 Mendeley
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Title
Association of TCM body constitution with insulin resistance and risk of diabetes in impaired glucose regulation patients
Published in
BMC Complementary Medicine and Therapies, September 2017
DOI 10.1186/s12906-017-1964-0
Pubmed ID
Authors

Hong You, Tong Zhang, Wen Feng, Yun Gai

Abstract

Impaired glucose regulation (IGR) patients have increased risk of type 2 diabetes mellitus (T2DM). Identifying relevant risk factors in IGR subjects could facilitate early detection and prevention of IGR progression to diabetes. This study investigated the association between Traditional Chinese Medicine (TCM) body constitution and serum cytokines, and whether body constitution could independently predict diabetes in IGR subjects. Patients with IGR (n = 306) received a blood test and their body constitution type was assessed using a body constitution questionnaire (BCQ). Serum levels of cytokines were measured by ELISA. Patients were followed up for at least three years, and their status of diabetes were recorded. Multivariate logistic regression was used to estimate odds ratios (ORs) of diabetes for body constitution. Phlegm-damp, Damp-heat and Qi-deficiency were three most common unbanlenced constitutions among IGR subjects. Phlegm-damp and Damp-heat constitution subjects showed higher serum levels of interleukin 6 (IL-6), tumour necrosis factor-α (TNF-α), leptin and lower serum levels of adiponectin (P<0.05). Qi-deficiency constitution subjects showed higher serum levels of leptin and lower serum levels of adiponectin, glucagon-like peptide-1 (GLP-1) and gastric inhibitory polypeptide (GIP) (P<0.05). Subjects with Phlegm-damp or Damp-heat constitution demonstrated a significantly higher risk of diabetes (P<0.05). Phlegm-damp and Damp-heat TCM body constitution are strongly associated with abnormal serum cytokines, and could potentially serve as a predictor of diabetes in IGR subjects. Body constitution can help to identify IGR subjects who are at a high risk of progression to diabetes.

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Lecturer > Senior Lecturer 2 6%
Student > Bachelor 2 6%
Other 2 6%
Other 6 19%
Unknown 11 34%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Biochemistry, Genetics and Molecular Biology 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Nursing and Health Professions 2 6%
Computer Science 1 3%
Other 6 19%
Unknown 12 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 August 2018.
All research outputs
#14,036,126
of 22,489,892 outputs
Outputs from BMC Complementary Medicine and Therapies
#1,594
of 3,303 outputs
Outputs of similar age
#160,291
of 293,908 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#1
of 1 outputs
Altmetric has tracked 22,489,892 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,303 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 47th percentile – i.e., 47% 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 293,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them