| Title |
Obstructive sleep apnea syndrome is associated with metabolic syndrome and inflammation
|
|---|---|
| Published in |
European Archives of Oto-Rhino-Laryngology, August 2013
|
| DOI | 10.1007/s00405-013-2669-8 |
| Pubmed ID | |
| Authors |
Qi-Chang Lin, Li-Da Chen, Yao-Hua Yu, Kai-Xiong Liu, Shao-Yong Gao |
| Abstract |
Obstructive sleep apnea (OSA) is an independent risk factor for cardiovascular morbidity and mortality. However, the underlying mechanism is unclear. In this cross-sectional study, we investigated the influence of OSA on metabolic syndrome (MetS) and inflammation, which were considered as cardiovascular risks. A total of 144 consecutive male patients who underwent standard polysomnography were enrolled. Fasting blood samples were obtained from all patients for glucose, high-sensitivity C-reactive protein (hs-CRP) and lipids measurement. A metabolic score was established as the total number of the positive diagnostic criteria of metabolic syndrome for each patient. Systolic blood pressure, diastolic blood pressure, fasting glucose, hs-CRP and metabolic score significantly increased with the aggravation of OSA severity. Metabolic score increased from 1.74 ± 1.20 to 2.89 ± 0.99 with OSA severity (p = 0.000). hs-CRP increased from 0.68 (0.43-1.10) to 1.44 (0.62-4.02) mg/L with OSA severity (p = 0.002). After adjustment for confounders, apnea-hypopnea index and body mass index (BMI) were the major contributing factors for metabolic score (β = 0.257, p = 0.003 and β = 0.344, p = 0.000, respectively), lowest O2 saturation and BMI were the independent predictors of hs-CRP (β = -0.255, p = 0.003 and β = 0.295, p = 0.001, respectively). OSA is independently associated with sum of metabolic components and hs-CRP. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 16% |
| Researcher | 8 | 13% |
| Student > Master | 8 | 13% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 14 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 34% |
| Nursing and Health Professions | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Psychology | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 21 | 34% |
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 30 October 2014.
All research outputs
#18,381,794
of 22,768,097 outputs
Outputs from European Archives of Oto-Rhino-Laryngology
#1,630
of 3,060 outputs
Outputs of similar age
#149,744
of 200,171 outputs
Outputs of similar age from European Archives of Oto-Rhino-Laryngology
#31
of 47 outputs
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