The Relationship Between the Metabolic Syndrome and Systolic Inter-Arm Systolic Blood Pressure Difference in Korean Adults

2015 ◽  
Vol 13 (8) ◽  
pp. 329-335 ◽  
Author(s):  
Hyun Yoon ◽  
Seong Woo Choi ◽  
Jong Park ◽  
So Yeon Ryu ◽  
Mi Ah Han ◽  
...  
Author(s):  
Somesh Raju ◽  
Rina Kumari ◽  
Sunita Tiwari ◽  
NS Verma

Background: Interarm systolic blood pressure difference more than 10 mm of Hg is predictor of cardiovascular and metabolic risk. Despite of sufficient physical activity there is high prevalence of obesity in police personal because of stressful working environment. No studies have addressed the significance of interarm pressure difference among them. Therefore, the present study conducted to access the relation of interarm blood pressure difference with obesity in police personnel. Aims and Objective: To estimate the interarm pressure difference in police personal to see its association with their obesity. Material and Method: This cross-sectional observational study done on 245 police workers in PAC, Sitapur, India. Subjects having more than ten years of working experience were included in study. Anthropometric measurements of subject recorded by following standard protocol. Measurement of systolic pressure in both arm recorded simultaneously by mercury sphygmomanometer. Available data analyze and expressed in percentage, mean with SD and chi square test to see the significance of association. Results: According to anthropometric results of subjects 77.14 prcent subjects were having generalised obesity and 82.04 percent of subjects having abdominal obesity. 34.29 percent of subjects showed abnormally high (?10 mmHg) inter-arm systolic blood pressure difference. Both type of obesity showed positive association with blood sugar level but no association with interarm pressure difference. Conclusion: Interarm blood pressure difference is greater in individual having obesity or prolong duration of service. Such subjects are more susceptible to develop coronary artery disease or peripheral arterial disease in future. Early screening can help to detect the vascular events likely to occur in the future Keywords: Body mass index, Waist circumference, Interarm pressure difference, Random blood sugar


2014 ◽  
Vol 26 (3) ◽  
pp. 221-230 ◽  
Author(s):  
Katrina D. DuBose ◽  
Andrew J. McKune

The relationship between physical activity levels, salivary cortisol, and the metabolic syndrome (MetSyn) score was examined. Twenty-three girls (8.4 ± 0.9 years) had a fasting blood draw, waist circumference and blood pressure measured, and wore an ActiGraph accelerometer for 5 days. Saliva samples were collected to measure cortisol levels. Previously established cut points estimated the minutes spent in moderate, vigorous, and moderate-to-vigorous physical activity. A continuous MetSyn score was created from blood pressure, waist circumference, high-density-lipoprotein (HDL), triglyceride, and glucose values. Correlation analyses examined associations between physical activity, cortisol, the MetSyn score, and its related components. Regression analysis examined the relationship between cortisol, the MetSyn score, and its related components adjusting for physical activity, percent body fat, and sexual maturity. Vigorous physical activity was positively related with 30 min post waking cortisol values. The MetSyn score was not related with cortisol values after controlling for confounders. In contrast, HDL was negatively related with 30 min post waking cortisol. Triglyceride was positively related with 30 min post waking cortisol and area under the curve. The MetSyn score and many of its components were not related to cortisol salivary levels even after adjusting for physical activity, body fat percentage, and sexual maturity.


PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e41173 ◽  
Author(s):  
Ho-Ming Su ◽  
Tsung-Hsien Lin ◽  
Po-Chao Hsu ◽  
Chun-Yuan Chu ◽  
Wen-Hsien Lee ◽  
...  

Nephrology ◽  
2016 ◽  
Vol 21 (5) ◽  
pp. 379-386 ◽  
Author(s):  
Szu-Chia Chen ◽  
Yi-Chun Tsai ◽  
Jiun-Chi Huang ◽  
Su-Chu Lee ◽  
Jer-Ming Chang ◽  
...  

Heart ◽  
1995 ◽  
Vol 73 (3) ◽  
pp. 270-276 ◽  
Author(s):  
J. Engvall ◽  
C. Sonnhag ◽  
E. Nylander ◽  
G. Stenport ◽  
E. Karlsson ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e70777 ◽  
Author(s):  
Zhihong Zhang ◽  
Jianyong Ma ◽  
Xuehua Tao ◽  
Yueying Zhou ◽  
Xin Liu ◽  
...  

2018 ◽  
Vol 50 (5S) ◽  
pp. 280-281
Author(s):  
Sarah R. Allen ◽  
Melanie M. Clarke ◽  
Maureen A. Walsh ◽  
Daniel L. Komoroski ◽  
Brock T. Jensen ◽  
...  

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