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Association between urinary tin concentration and diabetes in nationally representative sample of US adults

Overview of attention for article published in Journal of Diabetes, July 2018
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Title
Association between urinary tin concentration and diabetes in nationally representative sample of US adults
Published in
Journal of Diabetes, July 2018
DOI 10.1111/1753-0407.12798
Pubmed ID
Authors

Buyun Liu, Yangbo Sun, Hans‐Joachim Lehmler, Wei Bao

Abstract

Animal studies indicate that chronic exposure to certain tin compounds induces pancreatic islet cell apoptosis and glucose intolerance. However, little is known about health effects of environmental tin exposure in humans. We therefore evaluated the association of tin exposure with diabetes in a nationally representative sample of US adults. We used data from a nationally representative population (n=3,371) in the National Health and Nutrition Examination Survey 2011-2014. Diabetes (n = 605) was defined as a self-reported physician's diagnosis, a hemoglobin A1c level ≥ 6.5%, a fasting plasma glucose ≥ 126 mg/dL, or a two-hour plasma glucose ≥ 200 mg/dL. Tin concentrations in urine samples were determined by inductively coupled plasma mass spectrometry. We used logistic regression with sample weights to estimate the odds ratios (ORs) of diabetes and 95% confidence intervals (CIs). Urinary tin concentrations were higher in individuals with diabetes (weighted median: 0.58 μg/L) than those without diabetes (0.39 μg/L). After adjustment for urinary creatinine and other risk factors of diabetes, the OR of diabetes comparing the highest with lowest quartile of urinary tin concentrations was 1.6 (95% CI, 1.0-2.6; P for trend = 0.02). Environmental tin exposure was positively and significantly associated with diabetes in US adults. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 17%
Student > Ph. D. Student 3 17%
Researcher 2 11%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Agricultural and Biological Sciences 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Social Sciences 1 6%
Immunology and Microbiology 1 6%
Other 2 11%
Unknown 7 39%
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 08 June 2018.
All research outputs
#21,919,909
of 24,453,338 outputs
Outputs from Journal of Diabetes
#542
of 646 outputs
Outputs of similar age
#291,844
of 332,463 outputs
Outputs of similar age from Journal of Diabetes
#13
of 22 outputs
Altmetric has tracked 24,453,338 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 646 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 22 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.