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Correlation of visceral adiposity index with chronic kidney disease in the People’s Republic of China: to rediscover the new clinical potential of an old indicator for visceral obesity

Overview of attention for article published in Therapeutics and Clinical Risk Management, March 2016
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Title
Correlation of visceral adiposity index with chronic kidney disease in the People’s Republic of China: to rediscover the new clinical potential of an old indicator for visceral obesity
Published in
Therapeutics and Clinical Risk Management, March 2016
DOI 10.2147/tcrm.s96340
Pubmed ID
Authors

Xiaomeng Xu, Yan Zhao, Zhihong Zhao, Shuangshuang Zhu, Xinyu Liu, Chaomin Zhou, Xiaofei Shao, Yan Liang, Chongyang Duan, Harry Holthöfer, Hequn Zou

Abstract

To validate the association between visceral obesity and pathogenesis of chronic kidney disease (CKD) among individuals aged 40 years and above, and the potential of visceral adiposity index (VAI) to predict CKD. This study was based on a cross-sectional epidemiologic study in the People's Republic of China. A total of 1,581 residents aged over 40 years were included and divided into four groups based on VAI quartile intervals, namely, Groups I, II, III, and IV (eg, Group I included patients with their VAIs in the lowest quartile). Logistic regression analysis was performed. VAI is positively correlated with the albumin-to-creatinine ratio and the prevalence of CKD (P<0.001), and is inversely related to estimated glomerular filtration rate (P<0.001). Using Group I as control, odds ratios (ORs) were calculated to quantify the risk of developing CKD as VAI increased (Group II 1.08 [P>0.05], Group III 1.57 [P<0.05], Group IV 2.31 [P<0.001]). Related factors like age and sex were normalized in the logistic model before calculation. ORs became 1.16 (P>0.05), 1.59 (P<0.05), and 2.14 (P<0.05), respectively, for each group after further normalization considering smoking, drinking, physical activity, education, and the history of hypertension, coronary heart disease, and diabetes. The same results were not observed after fasting blood glucose and blood pressure levels were included in the normalization. There was no significant difference in the ORs for different groups: 0.94 (P>0.05), 1.11 (P<0.05), and 1.68 (P>0.05), respectively. VAI is highly correlated with the prevalence of CKD in the population aged 40 years and above. It can be used to predict the pathogenesis of CKD, which is dependent on fasting blood glucose and blood pressure levels.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Other 3 6%
Student > Postgraduate 3 6%
Student > Bachelor 3 6%
Student > Ph. D. Student 3 6%
Other 8 16%
Unknown 23 45%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Nursing and Health Professions 5 10%
Social Sciences 3 6%
Agricultural and Biological Sciences 1 2%
Computer Science 1 2%
Other 6 12%
Unknown 27 53%
Attention Score in Context

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 29 March 2016.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from Therapeutics and Clinical Risk Management
#809
of 1,323 outputs
Outputs of similar age
#179,681
of 312,604 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#33
of 62 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,323 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 312,604 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.