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Mendeley readers
Attention Score in Context
| Title |
The relation between insulin resistance and lung function: a cross sectional study
|
|---|---|
| Published in |
BMC Pulmonary Medicine, November 2015
|
| DOI | 10.1186/s12890-015-0125-9 |
| Pubmed ID | |
| Authors |
Gul Sagun, Canan Gedik, Esra Ekiz, Engin Karagoz, Mumtaz Takir, Aytekin Oguz |
| Abstract |
Impaired lung function and insulin resistance have been associated and thereby have also been indicated to be powerful predictors of cardiovascular mortality. Therefore, the co-existence of insulin resistance and impaired lung function accompanied with cardiovascular risk factors should induce cardiovascular mortality even in patients without known respiratory disease in a cumulative pattern. It could be useful to determine the lung function of patients with insulin resistance in order to decrease cardiovascular mortality by means of taking measures that minimize the risk of decline in lung function. However, no prior studies have been done on association between insulin resistance and lung function in adults in Turkey. We aimed to determine if insulin resistance plays a detrimental role in lung function in outpatients admitted to internal medicine clinics in adults from Turkey. A total of 171 outpatients (mean ± SD) age: 43.1 ± 11.9) years) admitted to internal medicine clinics were included in this single-center cross-sectional study, and were divided into patients with (n = 63, mean ± SD) age: 43.2 ± 12.5) years, 83.5 % female) or without (n = 108, mean ± SD) age: 43.0 ± 11.6) years, 93.5 % female) insulin resistance. All patients were non-smokers. Data on gender, age, anthropometrics, blood pressure, blood biochemistry, metabolic syndrome (MetS), and lung function tests were collected in each patient. Correlates of insulin resistance were determined via logistic regression analysis. Insulin resistance was present in 36.8 % of patients. Logistic regression analysis revealed an increase in the likelihood of having insulin resistance of 1.07 times with every 1-point increase in waist circumference, 1.01 times with every 1-point increase in triglycerides, 0.93 times with every 1-point decrease in HDL (high density lipoprotein) cholesterol, and 0.86 times with every 1-point decrease in percentage of FEV1/FVC pre (FEV1%pre: Forced expiratory volume in the first second of expiration for predicted values; FVC%pre.: Forced vital capacity for predicted values). Insulin resistance should also be considered amongst the contributing factors for decline in lung function. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Venezuela, Bolivarian Republic of | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 14% |
| Student > Master | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 12 | 24% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 29% |
| Nursing and Health Professions | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 20 | 41% |
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 11 August 2023.
All research outputs
#16,400,221
of 24,929,945 outputs
Outputs from BMC Pulmonary Medicine
#1,140
of 2,197 outputs
Outputs of similar age
#164,555
of 292,007 outputs
Outputs of similar age from BMC Pulmonary Medicine
#28
of 48 outputs
Altmetric has tracked 24,929,945 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 2,197 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 42nd percentile – i.e., 42% 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 292,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.