scholarly journals An Innovative Data-Driven Computational Model to Predict High Blood Pressure Based on AAA++

2018 ◽  
Vol 7 (3.3) ◽  
pp. 114 ◽  
Author(s):  
Satyanarayana Nimmala ◽  
Y Ramadevi ◽  
B Ashwin Kumar
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Computational Model ◽  
High Blood Pressure ◽  
Experimental Analysis ◽  
The Body ◽  
Data Driven ◽  
Blood Cholesterol ◽  
Proposed Model ◽  
The Impact

Every tissue of human body needs energy and oxygen for its livelihood. In order to supply energy and oxygen, the heart pumps the blood around the body. When heart pushes the blood against the walls of arteries, it creates some pressure inside the arteries, called as blood pressure. If this pressure is more than the certain level we treat it as high blood pressure (HBP). Nowadays HBP is a silent killer of many across the globe. So here we proposed a new data-driven computational model to predict HBP. Blood Pressure (BP) may be elevated because of many changes such as physical and emotional. In the proposed model we have considered AAA++ (age, anger level, anxiety level, obesity (+), blood cholesterol (+)), for experimental analysis. Our model initially calculates the correlation coefficient (CC) between each risk factor and class label attribute. Then based on the impact of each risk factor value and CC, it assigns the corresponding weight to it. Then proposed model uses risk factor value and its weight to predict whether person becomes a victim of HBP or not. We have used real-time data set for experimental analysis. It consists of 1000 records, which are collected from Doctor C, a Medical Diagnostic center, Hyderabad, India. 

scholarly journals Obesity as a risk factor linked to high blood pressure in ecuadorian labor population

2019 ◽  
Vol 3 (27) ◽  
pp. 171
Author(s):  
Ciro Gabriel Espinel Robles ◽  
Marlene Sánchez Mata ◽  
Junes Lady Robles-Amaya
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
High Blood Pressure ◽  
Public Health Problem ◽  
Overweight And Obesity ◽  
The Body ◽  
Public Institution ◽  
Cross Sectional ◽  
Research Participants ◽  
Important Relationship

Introduction Studies have shown that obesity and high blood pressure are related and constitute a public health problem due to the burden on health worldwide and Ecuador is no exception. Objective: The objective of this study is to determine obesity as a risk factor linked to high blood pressure in employees of a public institution in Ecuador. Methods: This is a descriptive cross-sectional study, with a population of 18 to 72 years of age, carried out from December 2016 to March 2017, in a local government of Guayas province. The variables studied were sociodemographic, anthropometric to determine the body mass index, measurement of blood pressure. After the informed consent, a control-card was applied. Results: Obesity contributes as a risk factor for high blood pressure with 42.7%, with a predominance in the group of 28 to 37 years of age of the population studied; and obesity grade 1, grade 2 and grade 3, represents 37.3%. People with high blood pressure corresponded to 36.4%, with dominance in the population from 18 to 57 years of age and similarly distributed in these age groups. Discussion overweight and obesity are health problems that are increasing and may present complications related to other diseases such as hypertension. Conclusions: The study concludes that there is an important relationship between obesity and high blood pressure in the research participants. Conclusions: The study concludes that there is an important percentage relationship between obesity and high blood pressure in research participants.

scholarly journals Heart disease as a permanent problem

2021 ◽  
Vol 10 (2) ◽  
pp. 68-75
Author(s):  
T.V. Mostepan ◽  
O.G. Shekera ◽  
V.V. Horachuk ◽  
M.M. Dolzhenko
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Eastern Europe ◽  
High Blood Pressure ◽  
Heart Diseases ◽  
European Countries ◽  
Blood Cholesterol ◽  
High Blood Cholesterol ◽  
Incidence And Mortality ◽  
The Impact

Background. Chronic noncommunicable diseases remain actual for a long time due to their impact on life expectancy and health of the world's population. Heart diseases as representatives of chronic non-infectious diseases are extremely actual. They remain the leading cause of disability and premature death for humankind. The purpose of the study: to analyze the incidence and mortality of the population from heart diseases in certain developed countries of the world, European countries, in particular in Ukraine, the risk factors that cause them, and to determine possible directions of preventive and rehabilitation strategies to improve the epidemic situation in Ukraine. Materials and methods. Data from meta-analyzes and systematic reviews from academic databases; data from state and health care statistics; methods: bibliosemantic, comparative, medical and statistical analysis, generalization. Results. It was found that the number of years lived by mankind with disabilities increased by 4.5 % over 10 years due to heart diseases. It is shown that the level of morbidity and mortality is significantly higher in the countries of Central and Eastern Europe, in particular, in Ukraine, in comparison with Sweden, Great Britain, Canada, the USA and Western European countries. It was revealed that the highest levels of mortality caused by risk factors for the population of all these countries and regions are associated with High Blood Pressure, nutrition, High Blood Cholesterol, however, in terms of values, they significantly prevail in the countries of Eastern Europe, in particular, in Ukraine, with an increase over 2009 – 2019 due to High Blood Pressure – from 494.88 to 536.51 per 100 thousand people, nutrition – from 397.29 to 430.66 per 100 thousand people, High Blood Cholesterol – from 345.98 to 373.13 per 100 thousand people. The population and personal strategies for the prevention of heart diseases and rehabilitation of patients depending on the clinical condition in Ukraine have been substantiated. Conclusions. The impact of heart diseases on the population health is constantly increasing. It confirms the permanence of the problem and requires constant attention and effective measures from the governments of countries and health systems.

scholarly journals Cardiovascular health among the Czech population at the beginning of the 21st century: a 12-year follow-up study

2018 ◽  
Vol 72 (5) ◽  
pp. 442-448 ◽  
Author(s):  
Michala Lustigova ◽  
Dagmar Dzurova ◽  
Hynek Pikhart ◽  
Ruzena Kubinova ◽  
Martin Bobak
Keyword(s):  
Blood Pressure ◽  
Cholesterol Level ◽  
High Blood Pressure ◽  
Cardiovascular Mortality ◽  
Cardiovascular Health ◽  
Blood Cholesterol ◽  
Blood Cholesterol Level ◽  
The Impact ◽  
Cvd Mortality

BackgroundIn the late 1980s, Czechia was among the countries which had the highest cardiovascular mortality in the world. In spite of enormous improvements since that time, there are still large opportunities in further improving cardiovascular health.MethodsBased on the Czech Health, Alcohol and Psychosocial Factors in Eastern Europe sample (n=8449 at baseline, 12 years of follow-up, 494 cardiovascular disease (CVD) deaths up to 2015—events), the impact of selected covariates such as education, smoking habits, high blood pressure, blood cholesterol level, diabetes, obesity, physical activity and binge drinking and their multifactorial effects on cardiovascular mortality was evaluated by Cox regression. In addition, population attributable fractions (PAFs) were used to quantify the impact of these factors on CVD mortality in the population.ResultsEducation was found as the strongest determinant of CVD mortality (primary vs university, HR 2.77, P<0.001; PAF=50.5%). CVD risk was two times higher for persons with diabetes compared with those without (HR 2.02, P<0.001, PAF=23.2%). Furthermore, significant factors found were smoking (smoker vs non-smoker, HR 1.91, P<0.001; PAF=26.5%), high blood pressure (HR 1.73, P<0.001; PAF=35.3%) and physical inactivity (none vs sufficient, HR 1.60, P<0.001; PAF=22.9%). Conversely, the effect of obesity was low (HR 1.29, P value =0.020), and binge drinking and high blood cholesterol level were not significant at all.ConclusionsEducation had the largest impact on cardiovascular mortality among the Czech population. More than 50% of CVD death would be prevented if the whole population had the same risk values as the highest educated population. Reducing disparities in health related to education should benefit from attention to cardiovascular health literacy.

COMPARISON OF ANTIHYPERTENSIVE EFFECT OF MOXONIDINE VERSUS CLONIDINE IN RENAL FAILURE PATIENTS.

2018 ◽  
Vol 6 (9) ◽  
Author(s):  
DR.MATHEW GEORGE ◽  
DR.LINCY JOSEPH ◽  
MRS.DEEPTHI MATHEW ◽  
ALISHA MARIA SHAJI ◽  
BIJI JOSEPH ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Renal Failure ◽  
Blood Flow ◽  
Blood Vessel ◽  
Blood Vessels ◽  
High Blood Pressure ◽  
Antihypertensive Effect ◽  
The Body ◽  
Ability To Work ◽  
Blood Flows

Blood pressure is the force of blood pushing against blood vessel walls as the heart pumps out blood, and high blood pressure, also called hypertension, is an increase in the amount of force that blood places on blood vessels as it moves through the body. Factors that can increase this force include higher blood volume due to extra fluid in the blood and blood vessels that are narrow, stiff, or clogged(1). High blood pressure can damage blood vessels in the kidneys, reducing their ability to work properly. When the force of blood flow is high, blood vessels stretch so blood flows more easily. Eventually, this stretching scars and weakens blood vessels throughout the body, including those in the kidneys.

scholarly journals A Two Joint Neck Model to Identify Malposition of the Head Relative to the Thorax

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3297
Author(s):  
Philipp M. Schmid ◽  
Christoph M. Bauer ◽  
Markus J. Ernst ◽  
Bettina Sommer ◽  
Lars Lünenburger ◽  
...  
Keyword(s):  
Neck Pain ◽  
Body Height ◽  
Biomechanical Model ◽  
The Body ◽  
Head Orientation ◽  
Neck Length ◽  
Proposed Model ◽  
Biofeedback System ◽  
Simple Measurement ◽  
The Impact

Neck pain is a frequent health complaint. Prolonged protracted malpositions of the head are associated with neck pain and headaches and could be prevented using biofeedback systems. A practical biofeedback system to detect malpositions should be realized with a simple measurement setup. To achieve this, a simple biomechanical model representing head orientation and translation relative to the thorax is introduced. To identify the parameters of this model, anthropometric data were acquired from eight healthy volunteers. In this work we determine (i) the accuracy of the proposed model when the neck length is known, (ii) the dependency of the neck length on the body height, and (iii) the impact of a wrong neck length on the models accuracy. The resulting model is able to describe the motion of the head with a maximum uncertainty of 5 mm only. To achieve this high accuracy the effective neck length must be known a priory. If however, this parameter is assumed to be a linear function of the palpable neck length, the measurement error increases. Still, the resulting accuracy can be sufficient to identify and monitor a protracted malposition of the head relative to the thorax.

scholarly journals Acculturation to Western Society as a Risk Factor for High Blood Pressure: A Meta-Analytic Review

2006 ◽  
Vol 68 (3) ◽  
pp. 386-397 ◽  
Author(s):  
Patrick R. Steffen ◽  
Timothy B. Smith ◽  
Michael Larson ◽  
Leon Butler
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
High Blood Pressure ◽  
Western Society ◽  
Analytic Review

The use of open government data to citizen empowerment: an empirical validation of a proposed model

foresight ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 665-680 ◽  
Author(s):  
Md Nahin Hossain ◽  
Md Shamim Talukder ◽  
Md Rakibul Hoque ◽  
Yukun Bao
Keyword(s):  
The Body ◽  
Open Government ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Proposed Model ◽  
Open Government Data ◽  
Citizen Empowerment ◽  
Government Data ◽  
The Impact

Purpose The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment. Design/methodology/approach This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique. Findings Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment. Research limitations/implications This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study. Practical implications For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process. Originality/value This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

The effects of household income distribution on stroke prevalence and its risk factors of high blood pressure and smoking: a cross-sectional study in Saskatchewan, Canada

2016 ◽  
Vol 137 (2) ◽  
pp. 114-121 ◽  
Author(s):  
Yelena Bird ◽  
Mark Lemstra ◽  
Marla Rogers
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Risk Factor ◽  
Income Distribution ◽  
High Blood Pressure ◽  
Household Income ◽  
Lower Income ◽  
Cross Sectional ◽  
Statistical Adjustment ◽  
Stroke Prevalence

Background: Stroke is a major chronic disease and a common cause of adult disability and mortality. Although there are many known risk factors for stroke, lower income is not one that is often discussed. Aims: To determine the unadjusted and adjusted association of income distribution on the prevalence of stroke in Saskatchewan, Canada. Methods: Information was collected from the Canadian Community Health Survey conducted by Statistics Canada for 2000–2008. In total, 178 variables were analysed for their association with stroke. Results: Prior to statistical adjustment, stroke was seven times more common for lower income residents than higher income residents. After statistical adjustment, only four covariates were independently associated with stroke prevalence, including having high blood pressure (odds ratio (OR) = 2.62; 95% confidence interval (CI) = 2.12–3.24), having a household income below CAD$30,000 per year (OR = 2.49; 95% CI = 1.88–3.29), being a daily smoker (OR = 1.36; 95% CI = 1.16–1.58) and being physically inactive (OR = 1.27; 95% CI = 1.13–1.43). After statistical adjustment, there were five covariates independently associated with high blood pressure prevalence, including having a household income below CAD$30,000 per year (OR = 1.52; 95% CI = 1.41–1.63). After statistical adjustment, there were five covariates independently associated with daily smoking prevalence, including having a household income below CAD$30,000 per year (OR = 1.29; 95% CI = 1.25–1.33). Conclusions: Knowledge of disparities in the prevalence, severity, disability and mortality of stroke is critically important to medical and public health professionals. Our study found that income distribution was strongly associated with stroke, its main disease intermediary – high blood pressure – and its main risk factor – smoking. As such, income is an important variable worthy of public debate as a modifiable risk factor for stroke.

scholarly journals Use of physical activity and cardiorespiratory fitness in identifying cardiovascular risk factors in male brazilian adolescents

2016 ◽  
Vol 18 (6) ◽  
pp. 678
Author(s):  
Lilian Messias Sampaio Brito ◽  
Luis Paulo Gomes Mascarenhas ◽  
Deise Cristiane Moser ◽  
Ana Cláudia Kapp Titski ◽  
Monica Nunes Lima Cat ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
High Blood Pressure ◽  
Abdominal Obesity ◽  
Age Groups ◽  
Cross Sectional ◽  
The Impact

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n6p678 The aim of this study was to investigate the impact of physical activity (PA) and cardiorespiratory fitness (CRF) levels on the prevalence of overweight and high blood pressure levels in adolescents. In this observational, cross-sectional study, 614 boys aged 10-14 years were assessed for height, body mass, body mass index (BMI), waist circumference (WC) and blood pressure (BP). CRF was assessed using a run test (Léger Test) and subjects were then grouped according to their CRF level. PA level was assessed through a questionnaire (The Three Day Physical Activity Recall) and classified into two groups, namely > 300 minutes of PA/week and < 300 minutes of PA/week. Maturational stage was evaluated according to the development of pubic hair (self-assessment) as proposed by Tanner. We used statistical descriptive analysis, univariate and multivariate analyses in the total participants and subjects were divided by age. Fifty percent of the sample performed < 300 minutes of PA/week and 67.6% had unsatisfactory CRF levels. There was a higher prevalence of unsatisfactory CRF levels among subjects with altered BMI (overweight), WC (abdominal obesity) or BP (high blood pressure) for all age groups. PA history, however, did not show any significance. A total of 31% of participants were overweight, 24.8% had abdominal obesity and 15.4% had increased BP. Unsatisfactory CRF levels were found to be a better predictor for the diagnosis of cardiovascular diseases (CV) risk factors than PA history, regardless of age group. 

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