Objective assessment of stress levels and health status using routinely measured clinical laboratory parameters as biomarkers

Biomarkers ◽  
2011 ◽  
Vol 16 (6) ◽  
pp. 525-529 ◽  
Author(s):  
Liu Hui ◽  
Li Shijun ◽  
Zhao Xinyu ◽  
Wang Yuai ◽  
Xu Xiaoting
2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Wang Hongwei ◽  
Liu Hui

Objective. The purpose of this study was to describe a new data visualisation system by plotting the human face to observe the comprehensive effects of multivariate data.Methods. The Graphics Device Interface (GDI+) in the Visual Studio.NET development platform was used to write a program that enables facial image parameters to be recorded, such as cropping and rotation, and can generate a new facial image according toZvalues from sets of normal data (Z>3was still counted as 3). The measured clinical laboratory parameters related to health status were obtained from senile people, glaucoma patients, and fatty liver patients to illustrate the facial data visualisation system.Results. When the eyes, nose, and mouth were rotated around their own axes at the same angle, the deformation effects were similar. The deformation effects for any abnormality of the eyes, nose, or mouth should be slightly higher than those for simultaneous abnormalities. The facial changes in the populations with different health statuses were significant compared with a control population.Conclusions. The comprehensive effects of multivariate may not equal the sum of each variable. The 3Zfacial data visualisation system can effectively distinguish people with poor health status from healthy people.


2007 ◽  
Vol 345-346 ◽  
pp. 873-876
Author(s):  
Jin Oh Lee ◽  
Min Soo Kang ◽  
Jeong Hun Shin ◽  
Kil Sung Lee

The pedometer, an objective assessment of measuring step counts, has often been used to motivate individuals to increase their ambulatory physical activity. Minimal contact pedometer-based intervention (MCPBI) is gaining in popularity because they are simple and inexpensive. MCPBI is based on self-monitoring by the participants; however, one limitation of using the self-monitoring approach was the participant attrition (i.e., dropout), which makes it difficult to achieve the successful intervention. A new algorithm for pedometer-based intervention, the systematic-monitoring based on conditional feedback, was designed to increase awareness and allow participants to more successfully attain their step goals. Thus, the purpose of this study was to examine the effect of the systematic-monitoring based on conditional feedback algorithm on 10,000 step goal attainments. The study result can be used to design more comprehensive pedometer-based physical activity interventions to increase individuals’ overall health status.


PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0239802 ◽  
Author(s):  
Jude Moutchia ◽  
Pratik Pokharel ◽  
Aldiona Kerri ◽  
Kaodi McGaw ◽  
Shreeshti Uchai ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e105089 ◽  
Author(s):  
Eugene Ruzagira ◽  
Andrew Abaasa ◽  
Etienne Karita ◽  
Joseph Mulenga ◽  
William Kilembe ◽  
...  

2015 ◽  
Vol 148 (4) ◽  
pp. S-638-S-639 ◽  
Author(s):  
Jeffrey S. Hyams ◽  
Joel R. Rosh ◽  
James Markowitz ◽  
Jaroslaw Kierkus ◽  
Marla Dubinsky ◽  
...  

2019 ◽  
Vol 4 (2) ◽  
pp. 42-46
Author(s):  
Pallavi Sinha ◽  
Veena Raju ◽  
Suresh Babu J ◽  
Swarnalatha Chandolu ◽  
Abhishek Karan ◽  
...  

2005 ◽  
Vol 226 (4) ◽  
pp. 548-555 ◽  
Author(s):  
Emily C. McCobb ◽  
Gary J. Patronek ◽  
Amy Marder ◽  
Julie D. Dinnage ◽  
Michael S. Stone

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