10 research outputs found

    Clinical features of headache associated with mobile phone use: a cross-sectional study in university students

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    <p>Abstract</p> <p>Background</p> <p>Headache has been reported to be associated with mobile phone (MP) use in some individuals. The causal relationship between headache associated with MP use (HAMP) and MP use is currently undetermined. Identifying the clinical features of HAMP may help in clarifying the pathophysiology of HAMP and in managing symptoms of individuals with HAMP. The aim of the present study is to describe the clinical features of HAMP.</p> <p>Methods</p> <p>A 14-item questionnaire investigating MP use and headache was administered to 247 medical students at Hallym University, Korea. Individual telephone interviews were subsequently conducted with those participants who reported HAMP more than 10 times during the last 1 year on the clinical features of HAMP. We defined HAMP as a headache attack during MP use or within 1 hour after MP use.</p> <p>Results</p> <p>In total, 214 (86.6%) students completed and returned the questionnaire. Forty (18.9%) students experienced HAMP more than 10 times during the last 1 year in the questionnaire survey. In subsequent telephone interviews, 37 (97.4%) interviewed participants reported that HAMP was triggered by prolonged MP use. HAMP was usually dull or pressing in quality (30 of 38, 79.0%), localised ipsilateral to the side of MP use (32 of 38, 84.2%), and associated with a burning sensation (24 of 38, 63.2%).</p> <p>Conclusion</p> <p>We found that HAMP usually showed stereotyped clinical features including mild intensity, a dull or pressing quality, localisation ipsilateral to the side of MP use, provocation by prolonged MP use and often accompanied by a burning sensation.</p

    Cell phone explosion

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    Predictive value of arm circumference (AC) and arm muscle circumference (AMC) with cardiovascular risk in healthy and diabetic males

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    OBJECTIVE: The predictive value of body simplified indices needs to be evaluated properly for cardiovascular risk. This study aimed to assess and compare the relative relationship of arm circumference (AC), arm muscle circumference (AMC), body mass index (BMI), and waist-hip ratio (WHR) with Ultra-Sensitive C-Reactive Protein (US-CRP) in healthy male subjects and with type 2 diabetes mellitus (T2DM). PATIENTS AND METHODS: We performed the study at the department of Physiology, College of Medicine & King Khalid University Hospital, King Saud University, Riyadh, Saudi Arabia. It was a cross-sectional study with 93 healthy male subjects and 112 type 2 diabetic male patients who underwent body composition analysis by BIA and fasting venous blood samples were collected. US-CRP and body composition were determined for all subjects. RESULTS: US-CRP is correlated positively with AC (0.378) and BMI (0.394) more than AMC (0.282) and WHR (0.253) which have lower correlation both in control and DM group. BCM has the lowest correlation with US-CRP (0.105). The association between US-CRP and AC, AMC, Body Fat Percent (BFP), and body fat mass (BFM) are statistically significant except for BFP in DM group. In control group, AC is noticed to be a better predictor for US-CRP, with area under curve (AUC) 64.2% (p=0.019), WHR with AUC 72.6% (p<0.001), and BMI with AUC 65.4% (p=0.011) but AMC is not a good predictor in control group with AUC 57.5% (p=0.213). In DM group, AC is noticed to be a better predictor for US-CRP, with AUC 71.5% (p<0.001), WHR with AUC 67.4% (p=0.004), BMI with AUC 70.9% (p=0.001), and AMC with AUC 65.2% (p=0.011). CONCLUSIONS: Simplified muscle mass body indices like AC and AMC have significant predictive value for assessing cardiovascular risk in both healthy population and patients with T2DM. Therefore, AC could be used as a future predictor for cardiovascular disease in healthy and DM patients. Further investigations are needed to confirm its applicability
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