There was a time when Man was the son of nature, interacting and part of the whole process of life. Then, as his fate, man progressed, invented, produced, flourished and finally prevailed on earth. He created artificial systems in which he lived, and at times seemed so close to being protected and safe from any natural phenomenal impact. Then he realized that his own creation, byproducts, beside his aggression against his own kind were being his enemy. In recent years, disasters increased in frequency, where grade 4 or more, hurricanes attacked the southern parts of the USA, as well in Asia. Large ice bergs cracked in Greenland, North and South poles, dissolving in the sea. There is an increase or rise of the Sea level, although it is few cms a year but it became a reality
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The Use of Artificial Neural Network and Logistic Regression to Predict the I...Crimsonpublisherscojnh
The Use of Artificial Neural Network and Logistic Regression to Predict the Influence of Lifestyle on Cardiovascular Risk Factors by Jahandideh S*, Jahandideh M, Asefzadeh S and Ziaee A in COJ Nursing & Healthcare
The Use of Artificial Neural Network and Logistic Regression to Predict the I...Crimsonpublisherscojnh
The Use of Artificial Neural Network and Logistic Regression to Predict the Influence of Lifestyle on Cardiovascular Risk Factors by Jahandideh S*, Jahandideh M, Asefzadeh S and Ziaee A in COJ Nursing & Healthcare
CORONARY ARTERY DISEASE is a modern epidemic in india. due to changes in living conditions and habits its prevalence is increasing day by day . in this presentation i have explained the various risk factors and innovations in diagnosis of CAD. IT is very useful for primary health care physicians and community medicine specialist
The learning speed of the feed forward neural
network takes a lot of time to be trained which is a major
drawback in their applications since the past decades. The
key reasons behind may be due to the slow gradient-based
learning algorithms which are extensively used to train the
neural networks or due to the parameters in the networks
which are tuned iteratively using some learning algorithms.
Thus, in order to eradicate the above pitfalls, a new learning
algorithm was proposed known as Extreme Learning Machines
(ELM). This algorithm tries to compute Hidden-layer-output
matrix that is made of randomly assigned input layer and
hidden layer weights and randomly assigned biases. Unlike the
other feedforward networks, ELM has the access of the whole
training dataset before going into the computation part. Here,
we have devised a new two-layer-feedforward network (TFFN)
for ELM in a new manner with randomly assigning the weights
and biases in both the hidden layers, which then calculates the
output-hidden layer weights using the Moore-Penrose generalized
inverse. TFFN doesn’t restricts the algorithm to fix the number
of hidden neurons that the algorithm should have. Rather it
searches the space which gives an optimized result in the neurons
combination in both the hidden layers. This algorithm provides a
good generalization capability than the parent Extreme Learning
Machines at an extremely fast learning speed. Here, we have
experimented the algorithm on various types of datasets and
various popular algorithm to find the performances and report
a comparison.
Effects of aspirin for primary prevention in persons with Diabetes mellitusShadab Ahmad
The ASCEND(A Study od Cardiovascular Events in Diabetes) randomized trial was performed to assess the efficacy and safety of enteric-coated aspirin at a dose of 100 mg daily, as compared with placebo, in person who had diabetes without manifest cardiovascular disease.
Closer look at stroke in maine for maine stroke alliance 2019 finalGillian Gordon Perue
Presented to the leadership of the State of Maine; this presentation describes the epidemiology of patients admitted with stroke in Maine from 2010-2014. It exams independent predictors of mortality.
Clinical Profile of Acute Coronary Syndrome among Young AdultsPremier Publishers
Acute Coronary Syndrome accounts for 30% of hospital admissions with cardiovascular diseases. The risk of this syndrome is increasing among the younger adults, and a deep insight into the clinical profile among these patients will help in devising a preventive strategy, in order to alleviate the morbidity and mortality due to the syndrome. A cross sectional study was done among 125 subjects admitted to our tertiary care hospital with Acute Coronary Syndrome. Their risk factors were assessed and a 12 Lead electrocardiogram and 2D Echocardiogram were taken. Cardio III panel which consists of Troponin I, CK MB, BNP by COBAS meter machine was also measured. STEMI was present in 73.6% of the patients, while unstable angina was present in 16%. About 90% of STEMI patients were males and 62% of them were hypertensives. LV Ejection Fraction <30% was found in 9% of STEMI patients. This study elucidates the need for a preventive strategy for primordial prevention of cardiovascular events among young adults. The study envisaged the male, urban preponderance towards these events.
Heritability of Blood Pressure Among Random Adult Individuals of South Indian...ijtsrd
Hypertension is considered to be a major health concern and a threat for mortality and morbidity in individuals caused due to myocardial infarction, stroke and other cardiovascular diseases. Our study comprises of 200 randomly chosen nuclear families from five different South Indian states during the period of June, 2016 to December, 2017. A total of 750 individuals (both parents and off spring) are studied. About 103 families are selected from Telangana State, 25 families from Andhra Pradesh State, 13 families from Tamil Nadu State, 35 families from Karnataka State and 24 families from Kerala State. Information is gathered from each member of the family and Blood Pressure is measured. A linear fit is tried and regression coefficients are estimated and found to be significant using student' t-test and F-test. The linear equation Y = a + bx is taken where x is mid parental value and Y is average of offspring and regression of offspring on mid parental value is equal to heritability. The regression coefficient and R2 values (0.271, t and F; P < 0.05 and 0.074) for diastolic blood pressure are higher than those values (0.083, t and F; P http://www.ijtsrd.com/medicine/pathology/15922/heritability-of-blood-pressure-among-random-adult-individuals-of-south-indian-states/dr-v-venugopal-rao
Cancer incidence and mortality in people aged less than 75 years: Changes in ...Cancer Council NSW
Australia has one of the highest rates of cancer incidence worldwide and, despite improving
survival, cancer continues to be a major public health problem. Our aim was to provide simple summary
measures of changes in cancer mortality and incidence in Australia so that progress and areas for
improvement in cancer control can be identified.
Cardiovascular Diseases among Agro-Allied Company Workers in Nigeria: A Case ...Premier Publishers
Mortality arising from cardiovascular diseases among the workforce in developing countries has been reported to be about twice as high as the mortality in developed countries and tends to occur much earlier than in the developed countries. A nested case-control study design was employed. The mean age of the respondents was 34 ± 9.7 years. The respondents were mostly males (90.6%), 65.1% were married and 83.1% were of the Yoruba ethnicity. Majority of the respondents (67.3%) were Christians and 83.7% had secondary education and above. Age, marital status, salary grade and religion were statistically associated with CVD status (p < 0.05). Being an office worker, earning the lowest income, being less than 50 years of age were significant predictors of CVD risk factors (p<0.05). Educational and behavioural intervention need to be implemented to encourage adoption of healthy lifestyle so as to reduce the cardiovascular risk factors among workers.
Background; Myocardial Infarction (MI) is a term which is used for defining the necrosis in the heart muscle due to the lack of the oxygen need of myocardium which cannot be supplied by the coronaries. Aim: This study was carried out to determine the effects of some lifestyle and anthropometric parameters on some cardiac enzymes. Methods: A total of 146 students of sex, age bracket, (16 - 30) were recruited for this study. Enzymatic methods were used in the determination of AST, ALT, CKMB activities. Anthropometric measurements of the participants were taken. The result showed that there was significant increase in systolic blood pressure (SBP), weight and height (p<0.05), but there was no significant increase in their diastolic blood pressure (DBP) and body mass index (BMI) (p>0.05) in the serum ALT, AST, and CKMB activities. However, there was significant difference in ALT and AST activities (P<0.05) but there was no significant difference in serum CKMB activity (P>0.05). Statistically the percentage of the participants that had their serum ALT activity above the reference range were 16.6%, those within the reference range were 83.4%,. In serum AST activity, the percentage above the reference range were 19.9%, those within the reference range were 80.1%. Meanwhile, in serum CK-MB activity, those above the reference range were 25.2% while those within the reference range were 74.8%. Conclusion: This could be probably indicate that the leakage of AST and ALT activities may be of hepatic origin. . The non-significant increase in CKMB which is a specific marker of myocardial injury, could suggest that the subjects were not at risk of developing of myocardial infarction as regards their age.
ASH13 Scott Hall and Robb Wolf — Evaluation of the Impact of a Paleolithic Di...Ancestral Health Society
Traditional cardiovascular risk factors including cholesterol may not provide the best tools for predicting individuals at risk for future cardiovascular disease and current insulin resistance. Novel and emerging evaluations of lipoproteins may provide a more accurate assessment of future cardiovascular risk. In an observational study of a small group of law enforcement officers, we studied the changes in both traditional and nontraditional risk factors when instructed in a “paleo” diet over 6 months. Overall, we found an encouraging impact on both traditional and nontraditional risk factors over the course of the study. It is proposed that a “paleo” diet supplemented with exercise has a positive effect on cardiovascular risk factors and may be a treatment recommendation for individuals at risk.
Examination of the incidence of heart disease in the US. A multivariate logis...AJHSSR Journal
ABSTRACT:Heart disease is a condition that affects the human heart and blood vessels. Heart disease affects
about half of American adults, and it also played a role in the high death rate in the rest of the world. The data
extracted from National Center for Health Statistics (NCHS) span from December 2019 to December 2021. The
only goal of this study is to look at the risk factors that affect the incidence of heart disease. After that, it will
estimate a Youden index to find the best cut-off point and measure how well the multivariate logistic regression
model's diagnostic test performed, adding to the body of knowledge. The application of logistic regression
yielded the finding that socioeconomic and health risk variables strongly influence the incidence of heart
disease. According to the Youden index, the ideal cutoff value is around 52%. Consequently, it is crucial for
American adults to monitor their lifestyle, have their BMI, blood pressure, diabetes, and other risk factors for
heart disease diagnosed, and then make sure they are receiving adequate treatment to prevent the tendency to
develop heart disease, which in turn will lower the death rate brought on by heart disease.
KEYWORDS: Heart disease, Multivariate logistic regression, Youden index, Health risk factors,
socioeconomic factors.
Diagnosis of Early Risks, Management of Risks, and Reduction of Vascular Dise...asclepiuspdfs
In a recent issue of the Journal of Circulation, American Heart Association has published a scientific statement, related to the excess heart disease and acute vascular events in South Asians living in the USA. The same group of experts, also have published a complementary article in Circulation titled, “call to action: Cardiovascular disease (CVD) in Asian Americans.”I being a South Asian immigrant living in the USA, have always wondered as to why we do not have the same benefits as the other resident Americans in terms of the advantages of living in a highly advanced country? According to a study done in 2013, cardiovascular mortality has declined and diabetes mortality has increased in high-income countries. The study done in 26 industrialized nations, estimated the potential role of trends in population, for body mass index, systolic blood pressure, serum total cholesterol, and smoking, the modifiable risk factors identified as the promoters of CVD, and acute vascular events, by the Framingham Heart Study (FHS) group.
CORONARY ARTERY DISEASE is a modern epidemic in india. due to changes in living conditions and habits its prevalence is increasing day by day . in this presentation i have explained the various risk factors and innovations in diagnosis of CAD. IT is very useful for primary health care physicians and community medicine specialist
The learning speed of the feed forward neural
network takes a lot of time to be trained which is a major
drawback in their applications since the past decades. The
key reasons behind may be due to the slow gradient-based
learning algorithms which are extensively used to train the
neural networks or due to the parameters in the networks
which are tuned iteratively using some learning algorithms.
Thus, in order to eradicate the above pitfalls, a new learning
algorithm was proposed known as Extreme Learning Machines
(ELM). This algorithm tries to compute Hidden-layer-output
matrix that is made of randomly assigned input layer and
hidden layer weights and randomly assigned biases. Unlike the
other feedforward networks, ELM has the access of the whole
training dataset before going into the computation part. Here,
we have devised a new two-layer-feedforward network (TFFN)
for ELM in a new manner with randomly assigning the weights
and biases in both the hidden layers, which then calculates the
output-hidden layer weights using the Moore-Penrose generalized
inverse. TFFN doesn’t restricts the algorithm to fix the number
of hidden neurons that the algorithm should have. Rather it
searches the space which gives an optimized result in the neurons
combination in both the hidden layers. This algorithm provides a
good generalization capability than the parent Extreme Learning
Machines at an extremely fast learning speed. Here, we have
experimented the algorithm on various types of datasets and
various popular algorithm to find the performances and report
a comparison.
Effects of aspirin for primary prevention in persons with Diabetes mellitusShadab Ahmad
The ASCEND(A Study od Cardiovascular Events in Diabetes) randomized trial was performed to assess the efficacy and safety of enteric-coated aspirin at a dose of 100 mg daily, as compared with placebo, in person who had diabetes without manifest cardiovascular disease.
Closer look at stroke in maine for maine stroke alliance 2019 finalGillian Gordon Perue
Presented to the leadership of the State of Maine; this presentation describes the epidemiology of patients admitted with stroke in Maine from 2010-2014. It exams independent predictors of mortality.
Clinical Profile of Acute Coronary Syndrome among Young AdultsPremier Publishers
Acute Coronary Syndrome accounts for 30% of hospital admissions with cardiovascular diseases. The risk of this syndrome is increasing among the younger adults, and a deep insight into the clinical profile among these patients will help in devising a preventive strategy, in order to alleviate the morbidity and mortality due to the syndrome. A cross sectional study was done among 125 subjects admitted to our tertiary care hospital with Acute Coronary Syndrome. Their risk factors were assessed and a 12 Lead electrocardiogram and 2D Echocardiogram were taken. Cardio III panel which consists of Troponin I, CK MB, BNP by COBAS meter machine was also measured. STEMI was present in 73.6% of the patients, while unstable angina was present in 16%. About 90% of STEMI patients were males and 62% of them were hypertensives. LV Ejection Fraction <30% was found in 9% of STEMI patients. This study elucidates the need for a preventive strategy for primordial prevention of cardiovascular events among young adults. The study envisaged the male, urban preponderance towards these events.
Heritability of Blood Pressure Among Random Adult Individuals of South Indian...ijtsrd
Hypertension is considered to be a major health concern and a threat for mortality and morbidity in individuals caused due to myocardial infarction, stroke and other cardiovascular diseases. Our study comprises of 200 randomly chosen nuclear families from five different South Indian states during the period of June, 2016 to December, 2017. A total of 750 individuals (both parents and off spring) are studied. About 103 families are selected from Telangana State, 25 families from Andhra Pradesh State, 13 families from Tamil Nadu State, 35 families from Karnataka State and 24 families from Kerala State. Information is gathered from each member of the family and Blood Pressure is measured. A linear fit is tried and regression coefficients are estimated and found to be significant using student' t-test and F-test. The linear equation Y = a + bx is taken where x is mid parental value and Y is average of offspring and regression of offspring on mid parental value is equal to heritability. The regression coefficient and R2 values (0.271, t and F; P < 0.05 and 0.074) for diastolic blood pressure are higher than those values (0.083, t and F; P http://www.ijtsrd.com/medicine/pathology/15922/heritability-of-blood-pressure-among-random-adult-individuals-of-south-indian-states/dr-v-venugopal-rao
Cancer incidence and mortality in people aged less than 75 years: Changes in ...Cancer Council NSW
Australia has one of the highest rates of cancer incidence worldwide and, despite improving
survival, cancer continues to be a major public health problem. Our aim was to provide simple summary
measures of changes in cancer mortality and incidence in Australia so that progress and areas for
improvement in cancer control can be identified.
Cardiovascular Diseases among Agro-Allied Company Workers in Nigeria: A Case ...Premier Publishers
Mortality arising from cardiovascular diseases among the workforce in developing countries has been reported to be about twice as high as the mortality in developed countries and tends to occur much earlier than in the developed countries. A nested case-control study design was employed. The mean age of the respondents was 34 ± 9.7 years. The respondents were mostly males (90.6%), 65.1% were married and 83.1% were of the Yoruba ethnicity. Majority of the respondents (67.3%) were Christians and 83.7% had secondary education and above. Age, marital status, salary grade and religion were statistically associated with CVD status (p < 0.05). Being an office worker, earning the lowest income, being less than 50 years of age were significant predictors of CVD risk factors (p<0.05). Educational and behavioural intervention need to be implemented to encourage adoption of healthy lifestyle so as to reduce the cardiovascular risk factors among workers.
Background; Myocardial Infarction (MI) is a term which is used for defining the necrosis in the heart muscle due to the lack of the oxygen need of myocardium which cannot be supplied by the coronaries. Aim: This study was carried out to determine the effects of some lifestyle and anthropometric parameters on some cardiac enzymes. Methods: A total of 146 students of sex, age bracket, (16 - 30) were recruited for this study. Enzymatic methods were used in the determination of AST, ALT, CKMB activities. Anthropometric measurements of the participants were taken. The result showed that there was significant increase in systolic blood pressure (SBP), weight and height (p<0.05), but there was no significant increase in their diastolic blood pressure (DBP) and body mass index (BMI) (p>0.05) in the serum ALT, AST, and CKMB activities. However, there was significant difference in ALT and AST activities (P<0.05) but there was no significant difference in serum CKMB activity (P>0.05). Statistically the percentage of the participants that had their serum ALT activity above the reference range were 16.6%, those within the reference range were 83.4%,. In serum AST activity, the percentage above the reference range were 19.9%, those within the reference range were 80.1%. Meanwhile, in serum CK-MB activity, those above the reference range were 25.2% while those within the reference range were 74.8%. Conclusion: This could be probably indicate that the leakage of AST and ALT activities may be of hepatic origin. . The non-significant increase in CKMB which is a specific marker of myocardial injury, could suggest that the subjects were not at risk of developing of myocardial infarction as regards their age.
ASH13 Scott Hall and Robb Wolf — Evaluation of the Impact of a Paleolithic Di...Ancestral Health Society
Traditional cardiovascular risk factors including cholesterol may not provide the best tools for predicting individuals at risk for future cardiovascular disease and current insulin resistance. Novel and emerging evaluations of lipoproteins may provide a more accurate assessment of future cardiovascular risk. In an observational study of a small group of law enforcement officers, we studied the changes in both traditional and nontraditional risk factors when instructed in a “paleo” diet over 6 months. Overall, we found an encouraging impact on both traditional and nontraditional risk factors over the course of the study. It is proposed that a “paleo” diet supplemented with exercise has a positive effect on cardiovascular risk factors and may be a treatment recommendation for individuals at risk.
Examination of the incidence of heart disease in the US. A multivariate logis...AJHSSR Journal
ABSTRACT:Heart disease is a condition that affects the human heart and blood vessels. Heart disease affects
about half of American adults, and it also played a role in the high death rate in the rest of the world. The data
extracted from National Center for Health Statistics (NCHS) span from December 2019 to December 2021. The
only goal of this study is to look at the risk factors that affect the incidence of heart disease. After that, it will
estimate a Youden index to find the best cut-off point and measure how well the multivariate logistic regression
model's diagnostic test performed, adding to the body of knowledge. The application of logistic regression
yielded the finding that socioeconomic and health risk variables strongly influence the incidence of heart
disease. According to the Youden index, the ideal cutoff value is around 52%. Consequently, it is crucial for
American adults to monitor their lifestyle, have their BMI, blood pressure, diabetes, and other risk factors for
heart disease diagnosed, and then make sure they are receiving adequate treatment to prevent the tendency to
develop heart disease, which in turn will lower the death rate brought on by heart disease.
KEYWORDS: Heart disease, Multivariate logistic regression, Youden index, Health risk factors,
socioeconomic factors.
Diagnosis of Early Risks, Management of Risks, and Reduction of Vascular Dise...asclepiuspdfs
In a recent issue of the Journal of Circulation, American Heart Association has published a scientific statement, related to the excess heart disease and acute vascular events in South Asians living in the USA. The same group of experts, also have published a complementary article in Circulation titled, “call to action: Cardiovascular disease (CVD) in Asian Americans.”I being a South Asian immigrant living in the USA, have always wondered as to why we do not have the same benefits as the other resident Americans in terms of the advantages of living in a highly advanced country? According to a study done in 2013, cardiovascular mortality has declined and diabetes mortality has increased in high-income countries. The study done in 26 industrialized nations, estimated the potential role of trends in population, for body mass index, systolic blood pressure, serum total cholesterol, and smoking, the modifiable risk factors identified as the promoters of CVD, and acute vascular events, by the Framingham Heart Study (FHS) group.
The Impact of Lymph Node Dissection on Survival in Intermediate- and High-Ris...semualkaira
Aimed to evaluate the therapeutic effect of pelvic lymph node dissection (PLND) on survival and determine the predictors of lymph node involvement (LNI) in patients with intermediate- or high-risk prostate cancer (PCa) treated with Radical Prostatectomy
The Impact of Lymph Node Dissection on Survival in Intermediate- and High-Ris...semualkaira
Aimed to evaluate the therapeutic effect of pelvic lymph node dissection (PLND) on survival and determine the
predictors of lymph node involvement (LNI) in patients with intermediate- or high-risk prostate cancer (PCa) treated with Radical
Prostatectomy
What are the cardiovascular disorders?
Public Health importance
Burden of disease
Risk factors of cardiovascular disorders
Causation
Prevention strategies
Global Action Plan for the Prevention and Control of NCDs
India - National programme (NPCDCS)
Copyright 2016 American Medical Association. All rights reserv.docxmelvinjrobinson2199
Copyright 2016 American Medical Association. All rights reserved.
Intensive vs Standard Blood Pressure Control
and Cardiovascular Disease Outcomes in Adults Aged ≥75 Years
A Randomized Clinical Trial
Jeff D. Williamson, MD, MHS; Mark A. Supiano, MD; William B. Applegate, MD, MPH; Dan R. Berlowitz, MD; Ruth C. Campbell, MD, MSPH;
Glenn M. Chertow, MD; Larry J. Fine, MD; William E. Haley, MD; Amret T. Hawfield, MD; Joachim H. Ix, MD, MAS; Dalane W. Kitzman, MD;
John B. Kostis, MD; Marie A. Krousel-Wood, MD; Lenore J. Launer, PhD; Suzanne Oparil, MD; Carlos J. Rodriguez, MD, MPH;
Christianne L. Roumie, MD, MPH; Ronald I. Shorr, MD, MS; Kaycee M. Sink, MD, MAS; Virginia G. Wadley, PhD; Paul K. Whelton, MD;
Jeffrey Whittle, MD; Nancy F. Woolard; Jackson T. Wright Jr, MD, PhD; Nicholas M. Pajewski, PhD; for the SPRINT Research Group
IMPORTANCE The appropriate treatment target for systolic blood pressure (SBP) in older
patients with hypertension remains uncertain.
OBJECTIVE To evaluate the effects of intensive (<120 mm Hg) compared with standard
(<140 mm Hg) SBP targets in persons aged 75 years or older with hypertension
but without diabetes.
DESIGN, SETTING, AND PARTICIPANTS A multicenter, randomized clinical trial of patients aged
75 years or older who participated in the Systolic Blood Pressure Intervention Trial (SPRINT).
Recruitment began on October 20, 2010, and follow-up ended on August 20, 2015.
INTERVENTIONS Participants were randomized to an SBP target of less than 120 mm Hg
(intensive treatment group, n = 1317) or an SBP target of less than 140 mm Hg (standard
treatment group, n = 1319).
MAIN OUTCOMES AND MEASURES The primary cardiovascular disease outcome was a
composite of nonfatal myocardial infarction, acute coronary syndrome not resulting in a
myocardial infarction, nonfatal stroke, nonfatal acute decompensated heart failure, and death
from cardiovascular causes. All-cause mortality was a secondary outcome.
RESULTS Among 2636 participants (mean age, 79.9 years; 37.9% women), 2510 (95.2%)
provided complete follow-up data. At a median follow-up of 3.14 years, there was a
significantly lower rate of the primary composite outcome (102 events in the intensive
treatment group vs 148 events in the standard treatment group; hazard ratio [HR], 0.66
[95% CI, 0.51-0.85]) and all-cause mortality (73 deaths vs 107 deaths, respectively; HR, 0.67
[95% CI, 0.49-0.91]). The overall rate of serious adverse events was not different between
treatment groups (48.4% in the intensive treatment group vs 48.3% in the standard
treatment group; HR, 0.99 [95% CI, 0.89-1.11]). Absolute rates of hypotension were 2.4% in
the intensive treatment group vs 1.4% in the standard treatment group (HR, 1.71 [95% CI,
0.97-3.09]), 3.0% vs 2.4%, respectively, for syncope (HR, 1.23 [95% CI, 0.76-2.00]), 4.0% vs
2.7% for electrolyte abnormalities (HR, 1.51 [95% CI, 0.99-2.33]), 5.5% vs 4.0% for acute
kidney injury (HR, 1.41 [95% CI, 0.98-2.04]), and 4.9% vs 5.5% for inj.
Copyright 2016 American Medical Association. All rights reserv.docxbobbywlane695641
Copyright 2016 American Medical Association. All rights reserved.
Intensive vs Standard Blood Pressure Control
and Cardiovascular Disease Outcomes in Adults Aged ≥75 Years
A Randomized Clinical Trial
Jeff D. Williamson, MD, MHS; Mark A. Supiano, MD; William B. Applegate, MD, MPH; Dan R. Berlowitz, MD; Ruth C. Campbell, MD, MSPH;
Glenn M. Chertow, MD; Larry J. Fine, MD; William E. Haley, MD; Amret T. Hawfield, MD; Joachim H. Ix, MD, MAS; Dalane W. Kitzman, MD;
John B. Kostis, MD; Marie A. Krousel-Wood, MD; Lenore J. Launer, PhD; Suzanne Oparil, MD; Carlos J. Rodriguez, MD, MPH;
Christianne L. Roumie, MD, MPH; Ronald I. Shorr, MD, MS; Kaycee M. Sink, MD, MAS; Virginia G. Wadley, PhD; Paul K. Whelton, MD;
Jeffrey Whittle, MD; Nancy F. Woolard; Jackson T. Wright Jr, MD, PhD; Nicholas M. Pajewski, PhD; for the SPRINT Research Group
IMPORTANCE The appropriate treatment target for systolic blood pressure (SBP) in older
patients with hypertension remains uncertain.
OBJECTIVE To evaluate the effects of intensive (<120 mm Hg) compared with standard
(<140 mm Hg) SBP targets in persons aged 75 years or older with hypertension
but without diabetes.
DESIGN, SETTING, AND PARTICIPANTS A multicenter, randomized clinical trial of patients aged
75 years or older who participated in the Systolic Blood Pressure Intervention Trial (SPRINT).
Recruitment began on October 20, 2010, and follow-up ended on August 20, 2015.
INTERVENTIONS Participants were randomized to an SBP target of less than 120 mm Hg
(intensive treatment group, n = 1317) or an SBP target of less than 140 mm Hg (standard
treatment group, n = 1319).
MAIN OUTCOMES AND MEASURES The primary cardiovascular disease outcome was a
composite of nonfatal myocardial infarction, acute coronary syndrome not resulting in a
myocardial infarction, nonfatal stroke, nonfatal acute decompensated heart failure, and death
from cardiovascular causes. All-cause mortality was a secondary outcome.
RESULTS Among 2636 participants (mean age, 79.9 years; 37.9% women), 2510 (95.2%)
provided complete follow-up data. At a median follow-up of 3.14 years, there was a
significantly lower rate of the primary composite outcome (102 events in the intensive
treatment group vs 148 events in the standard treatment group; hazard ratio [HR], 0.66
[95% CI, 0.51-0.85]) and all-cause mortality (73 deaths vs 107 deaths, respectively; HR, 0.67
[95% CI, 0.49-0.91]). The overall rate of serious adverse events was not different between
treatment groups (48.4% in the intensive treatment group vs 48.3% in the standard
treatment group; HR, 0.99 [95% CI, 0.89-1.11]). Absolute rates of hypotension were 2.4% in
the intensive treatment group vs 1.4% in the standard treatment group (HR, 1.71 [95% CI,
0.97-3.09]), 3.0% vs 2.4%, respectively, for syncope (HR, 1.23 [95% CI, 0.76-2.00]), 4.0% vs
2.7% for electrolyte abnormalities (HR, 1.51 [95% CI, 0.99-2.33]), 5.5% vs 4.0% for acute
kidney injury (HR, 1.41 [95% CI, 0.98-2.04]), and 4.9% vs 5.5% for inj.
Assessment of the Prevalence of Some Cardiovascular Risk Factors among the O...Scientific Review SR
The prevalence of some cardiovascular risk factors among the Ogonis and Ikwerres in Rivers State,
Nigeria was assessed in two hundred subjects. Well structured questionnaires were used to assess smoking status,
duration of diabetes, age, weight, and height from the participants. Measurement of blood pressure was done to
ascertain the blood pressure of the subjects. Analysis of fasting blood sugar was done to confirm diabetes s tatus of
participants. Body mass index (BMI), was calculated from the height and weight. The mean age of males in the
study was higher than that of the females (P=.05). Mean SBP and DBP values were significantly higher (P=.05)
among the Ikwerres and Ogonis. BMI was significantly higher for Ogonis than Ikwerres ( P=.05). In the various
categories of risk, BMI for males was diabetics (47.89), smokers (44.73) and hypertensives (45.37) for type III
obesity which shows a higher risk for cardiovascular disease.
The role of genetic factors in Hypertension among Iraqi citizensAI Publications
In this study, 140 patients were collected, and they were divided into two groups (120 patients and 30 control groups). The average age in this study ranged from 25 to 65 years. This paper aims to know the role of genetic factors in hypertension among Iraqi citizens and. This study was designed through cooperation with the hospital for the purpose of withdrawing the information found in the electronic record to patients, which includes primary information from demographic data (age - gender - body mass index - blood samples - smoking - alcohol - clinical history - genetic history and blood pressure. The data and demographic information related to the patients were analysed by relying on the statistical analysis program IBM soft SPSS 22. The results that were found were a collection of 140 patients (no positive result for 30 patients) (and 120 patients with a positive result), and the statistical value and the mean for the age of the patients was 45.2±15.3 as was done. Proportion of Family History with Hypertension patients and patient distribution (parents for 90 patients with 64.2% - siblings for 28 patients with 20% - offspring for 32 patients with 22.8%. Through the statistical analysis, a statistically significant relationship was found between genetic factors and their effect on arterial hypertension, with a p-value of 0.001.
A prevalence of common risk factors of hypertension among young generation li...SriramNagarajan16
Hypertension is one of the upward health related challenge in Bangladesh and hypertension in young generation is increasing
but there is a shortage of data about the risk factors in this age group. The aim was to evaluate and approximation the
frequency of some common risk factors of hypertension among young generation living in Dhaka city. It was a crosssectional study; conducted during March 2016 to June 2016 in Dhaka city. Data were collected by face-to-face interview after
verbal informed consent by a survey questionnaire and stress was measured by Perceived Stress Scale and analyzed by SPSS
version 16. The study was conducted on 150 (n=150) young adults where 76% were male and 24% were female and their
mean age was 22.13 and 23.33% of them were overweight and only 1(n=1) was obese and 44% of them took average amount
of junk food while 14% took huge amounts and 59.33% of them had family history of hypertension and 70.66% of them were
in high stress. The mentioned age range shows a good amount of predominance of hypertension probably indicating a hidden
epidemic. It is needed to improve the measures of key anticipation and early detection of hypertension among young
generation
COMPARISON OF RISK FACTORS IN YOUNG ADULTS WITH OLDER ADULT PATIENTS WITH REC...DrSajadAhmedBadvi
My name is Dr Sajad Ahmed Badvi. I am specialist cardiologist at Civil Hospital Karachi. I am MBBS, DIPCARD,MD IN CARDIOLOGY. I concluded in this study that the risk factors like diabetes, hypertension, obesity, dyslipidemia, and sedentary lifestyle were more prevalent in the older adults group than young adults group, and Smoking, Family history of IHD and Substance abuse materials like alcohol, charas, cocaine, gutka/betel nut were more common risk factors in young adults that causing M.I. Hence, we recommend at the national level to stop smoking, do physical activities, chose healthy and better lifestyle to promote good health in society and according to my study 84% of young patients are using some form of substance abuse. Hence I recommend to our policymakers to introduce and implement some expend kinds of law and enforce them properly to protect our young population from potentially deadly IHD disease. spread awareness through electronic, print media and arrange seminars on how to avoid substance abuse materials in young peoples. There is also a need for screening of blood sugar, blood pressure, dyslipidemia, and control of these atherosclerotic risk factors to reduce CVD risk in the population.
Hypertension prediction using machine learning algorithm among Indonesian adultsIAESIJAI
Early risk prediction and appropriate treatment are believed to be able to
delay the occurrence of hypertension and attendant conditions. Many
hypertension prediction models have been developed across the world, but
they cannot be generalized directly to all populations, including for
Indonesian population. This study aimed to develop and validate a
hypertension risk-prediction model using machine learning (ML). The
modifiable risk factors are used as the predictor, while the target variable on
the algorithm is hypertension status. This study compared several machine-learning algorithms such as decision tree, random forest, gradient boosting,
and logistic regression to develop a hypertension prediction model. Several
parameters, including the area under the receiver operator characteristic area
under the curve (AUC), classification accuracy (CA), F1 score, precision,
and recall were used to evaluate the models. Most of the predictors used in
this study were significantly correlated with hypertension. Logistic
regression algorithm showed better parameter values, with AUC 0.829, CA
89.6%, recall 0.896, precision 0.878, and F1 score 0.877. ML offers the
ability to develop a quick prediction model for hypertension screening using
non-invasive factors. From this study, we estimate that 89.6% of people with
elevated blood pressure obtained on home blood pressure measurement will
show clinical hypertension.
Study on the Health Related Quality of Life of Patients with Ischemic strokeiosrjce
The work entitled, “Study on the health related quality of life of patients with ischemic stroke” was
conducted in the department of Neurology at a multispecialty hospital. After receiving the official approval, the
study was conducted for a period of eight months from December 2013 to August 2014. A total of 278 cases with
Neurological disorders were found, of which 117(42 %) patients were with ischemic stroke. Hypertension (59%)
and Diabetes (53%) were the major co-morbid conditions found. The Health related quality of life of the
patients was assessed by direct interviewing of individual patients with a stroke specific questionnaire. The
Health related quality of life of the patients was assessed by direct interviewing of individual patients with a
stroke specific questionnaire. Quality of life assessments are done by various methods like taking the floor and
ceiling effects of the scores, average score calculation etc. Assessment of the floor and ceiling effect showed the
potential for floor effects in the most difficult domain(strength) and the possibility of a ceiling effect in the
communication domain. Assessment of stroke severity is done by taking the mean and SD of the individual domains
Association of Hypertension with Behavioural Risk Factors in Adults in a Rura...iosrjce
IOSR Journal of Dental and Medical Sciences is one of the speciality Journal in Dental Science and Medical Science published by International Organization of Scientific Research (IOSR). The Journal publishes papers of the highest scientific merit and widest possible scope work in all areas related to medical and dental science. The Journal welcome review articles, leading medical and clinical research articles, technical notes, case reports and others.
HEART DISEASE PREDICTION USING MACHINE LEARNING AND DEEP LEARNINGIJDKP
Heart disease is most common disease reported currently in the United States among both the genders and
according to official statistics about fifty percent of the American population is suffering from some form of
cardiovascular disease. This paper performs chi square tests and linear regression analysis to predict
heart disease based on the symptoms like chest pain and dizziness. This paper will help healthcare sectors
to provide better assistance for patients suffering from heart disease by predicting it in beginning stage of
disease. Chi square test is conducted to identify whether there is a relation between chest pain and heart
disease cases in the United States by analyzing heart disease dataset from IEEE Data Port. The test results
and analysis show that males in the United States are most likely to develop heart disease with the
symptoms like chest pain, dizziness, shortness of breath, fatigue, and nausea. This test also shows that
there is a week corelation of 0.5 is identified which shows people with all ages including teens can face
heart diseases and its prevalence increase with age. Also, the tests indicate that 90 percent of the
participant who are facing severe chest pain is suffering from heart disease where majority of the
successful heart disease identified is in males and only 10 percent participants are identified as healthy.
The evaluated p-values are much greater than the statistical threshold of 0.05 which concludes factors like
sex, Exercise angina, Cholesterol, old peak, ST_Slope, obesity, and blood sugar play significant role in
onset of cardiovascular disease. We have tested the dataset with prediction model built on logistic
regression and observed an accuracy of 85.12 percent.
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Agricultural production in Niger State like other states in Nigeria is highly vulnerable to climate changeability. Climate change is predicted to have adverse effects on the agricultural sector of the poorer parts of the world especially sub-Saharan Africa. The aim of the study is to investigate and analyse the effect of rainfall trend on the production of yam in Mokwa local government area of Niger state, Nigeria. For the purpose of this research, data were collected from 100 respondents through the administration of questionnaires. Rainfall data covering a period of thirteen years (2003-2015) were also obtained from College of Agriculture Mokwa weather station, while the yearly yam yield for 16 years (2000-2015) was obtained from Niger State Ministry of Agriculture.
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The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
2. How to cite this article: Jahandideh S, Jahandideh M, Asefzadeh S, Ziaee A. The Use of Artificial Neural Network and Logistic Regression to Predict the
Influence of Lifestyle on Cardiovascular Risk Factors. COJ Nurse Healthcare. 1(1). COJNH.000505. 2017. DOI: 10.31031/COJNH.2017.01.000505
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Ischemic Heart Disease (IHD) is the single largest cause of
death in developed countries and is one of the main contributors
to the disease burden in developing countries. The two leading
manifestations of IHD are angina and acute myocardial infarction.
In 2001, IHD was responsible for 7.3 million deaths and 58 million
Disability-Adjusted Life Years (DALYs) lost world Wide Organization
[11].
The risk of developing Cardiovascular Disease (CVD) depends
to a large extent on the presence of several risk factors. The major
risk factors for CVD include tobacco use, high blood pressure, high
blood glucose, lipid abnormalities, obesity, and physical inactivity.
The global variations in CVD rates are related to temporal and
regional variations in these known risk factors. Discussions of the
strength of the associations of the various factors with CVD are
widely discussed in the literature. Although some risk factors, such
as age, ethnicity, and gender, obviously cannot be modified, most of
the risk is attributable to lifestyle and behavioral patterns, which
can be changed [12].
Artificial Neural Networks (ANNs) have attracted growing
interest in recent years as a supplement or alternative to standard
statistical techniques to predict complex phenomena in medicine
and biological studies [13]. A neural network is a non-linear
statistical data modeling tool that is able to capture and represent
complex input/output relationships.
In this study, ANNs as a non-algorithmic model are used
in predicting the influence of life style in cardiovascular risk
factors. Prediction of risk factors will be helpful in assessing the
comprehensive impact that a set of data demonstrating lifestyle
from society has on the main cardiovascular risk factors. Most of
the previous research has focused on predicting heart disease by
considering risk factors [14-16].
Materials and Methods
Data set
This study used a cross-sectional design and a convenience
sample of 393 subjects. Subjects’ participation in the research was
voluntary. The subjects were interviewed randomly by trained
nurses and physicians using a structural questionnaire with each
interview taking around 30 minutes. The questionnaire contained
anthropometric, laboratory and physical activity questions.
The subjects were used to compile the dataset. Both sexes were
represented, were aged from between 26 to 75 years (average age
41.97 years old), and were all living in Minodar, Iran in 2015.
Model development
Logistic regression and artificial neural network as two
algorithmic and non-algorithmic models were used.
Definition of the input parameters
The input data from the network for each subject were as
follows: Sex (1: male, 2: female), age (years), height (cm), weight
(kg), marital status (1: single, 2: married, 3: divorced, 4: wife
dead), Individual’s status in the family (1: head of family, 2: wife, 3:
children), physical activity (1: high, 2: moderate, 3: low), hours of
sleep per day (1: Less than 8 hours, 2: more than 8 hours), smoking
(1: yes, 2: no), tobacco kind (Cigarette, pipe, hubble-bubble, none
of them), BMI (underweight: <18.5, normal: 18.5-24.9, overweight:
25-29.9, obesity grade1: 30-34.9, obesity grade 2:>35). More details
about HDL-Cholesterol, Cholesterol, Triglycerides and values of
selected parameters are presented in (Table 1).
Table 1: Characterization of the study population.
Cholesterol HDL-C Triglycerides
1 2 1 2 1 2
sex
Male (1) 29 142 37 135 75 97
Female (2) 7 198 9 196 13 192
Age (Year)
26-29 1 13 1 13 0 14
30-39 3 110 9 104 12 101
40-49 20 164 25 160 53 132
50-59 7 31 8 30 14 24
60-69 2 9 1 10 4 7
70-79 1 2 1 2 2 1
Height (Cm)
140-149 2 11 1 12 2 11
150-159 5 111 13 103 11 105
160-169 13 126 12 127 36 103
170-179 13 73 15 71 32 54
180-189 3 16 4 16 6 14
190-199 0 1 0 1 1 0
Weight (Kg)
30-39 0 0 0 0 0 0
40-49 1 5 1 5 1 5
50-59 2 33 5 30 2 33
60-69 9 122 19 113 21 111
70-79 11 107 13 105 35 83
80-89 11 57 6 62 24 44
90-99 2 12 1 13 4 10
100-109 0 2 0 2 1 1
110-120 0 1 0 1 0 1
Marital Status
Single 1 5 0 6 0 6
Married 35 330 46 320 87 276
3. How to cite this article: Jahandideh S, Jahandideh M, Asefzadeh S, Ziaee A. The Use of Artificial Neural Network and Logistic Regression to Predict the
Influence of Lifestyle on Cardiovascular Risk Factors. COJ Nurse Healthcare. 1(1). COJNH.000505. 2017. DOI: 10.31031/COJNH.2017.01.000505
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divorced 0 2 0 2 0 2
Wife dead 0 3 0 3 1 2
smoking
Yes 5 44 6 43 18 31
No 31 296 40 288 70 258
Hours of sleep
per day
Less than 8
hours
29 251 36 43 69 211
More than 8
hours
5 81 9 288 16 71
Physical activity
High 15 125 25 115 40 100
Moderate 7 68 8 67 16 59
Low 23 155 21 157 40 138
WeusedtheWHOGlobalphysicalActivityQuestionnaire(GPAQ)
to calculate the physical activity. It comprises of 16 questions
to collect information on physical activity participation in three
settings as well as sedentary behavior. The domains are activity
at work; travel to and from places, and recreational activities. To
calculate a categorical indicator, the total time spent in physical
activity during a typical week, the number of days as well as the
intensity of the physical activity is taken into account. The three
levels of physical activity suggested for classifying populations are
low, moderate, and high (Organization, 2012). According to the
Analysis Guide, physical activities of subjects were calculated and
clustered using MATLAB programming language. Each subject was
put into one of 3 categories of physical activity. The cut-off values
for the data were: triglyceride: 160mg/dl; cholesterol: 220mg/dl;
HDL-cholesterol: 45mg/dl for males, 50mg/dl for females, with
the values coming from the ranges of normality indicated by the
literature [17]. Of the 393 subjects in the group study, 80 subjects
were used for the test phase and the remaining 313 for the training
phase.
Logistic regression analysis
Regression is the study of dependence. It is used to answer
questions such as: do changes in cholesterol depend on age, sex,
physical activity? The goal of regression is to summarize observed
data as simply, and usefully as possible.
Artificial neural network models
The human brain has been used to design and develop ANNS.
Accordingly, they are a cellular information processing system.
The neural network consisted of an interconnected set of artificial
neurons. The neurons perform collectively and simultaneously as
summing and non-linear mapping junctions for all data and inputs.
Changes take place in structure on the basis of internal and external
information that flows through the network during the learning
phase, so ANN is called an adaptive system. To model complex
relationships between inputs and outputs or finding patterns in
data, modern neural networks are usually applied (Figure 1).
Figure 1: Diagram illustrating the structure of the
developed neural network.
In this study, we trained an independent network for each
output (Cholesterol, HDL-C and triglycerides). Our networks were
trained perfectly over two layers of neurons. The factors of the
optimized neural network are shown in Table 2. One or two hidden
layers, different learning constants and hidden nodes were tested
to train with inputs. An in-house program written in the MATLAB
programming language was used to build the neural network.
Table 2: Optimized neural network parameters.
Triglycerides HDL -C Cholesterol
Learning rate 0.1 0.1 0.1
Error goal 0 0 0
Number of input nodes 12 12 12
Number of output nodes 1 1 1
Number of hidden layers 2 2 2
Number of layer neurons1 19 10 20
Number of layer neurons2 20 12 10
Training function Trainrp Trainrp Trainrp
Response accuracy 83.75 % 91.25 % 93.75%
Result
Results of ANNs
The ANN-based models were fed with the twelve mentioned
factors. The ANN was used as the predictor models on the data base
by using the “trainrp” method. For each network, the optimized
structure of four layer neural networks included one output
neurons, two hidden layers and an input layer. The variables
(Cholesterol, HDL-C and triglycerides) were used as the output
4. How to cite this article: Jahandideh S, Jahandideh M, Asefzadeh S, Ziaee A. The Use of Artificial Neural Network and Logistic Regression to Predict the
Influence of Lifestyle on Cardiovascular Risk Factors. COJ Nurse Healthcare. 1(1). COJNH.000505. 2017. DOI: 10.31031/COJNH.2017.01.000505
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in a dichotomous form in the neural network. 313 subjects were
entered into the network as a training set and the remainders (80
subjects) were considered as a testing set.
In the first phase, all of the inputs were entered into the network
and the output Triglycerides, HDL-C, total cholesterol were entered
separately. Different learning constants of .08, 0.1, and 0.2 were
tested and the learning constant of 0.1 was selected. The results
showed that prediction accuracy in each networks respectively was
85.75%, 91.25% and 93.75%. The results are shown in Table 2.
Results of Logistic regression
The results indicate a strong influence of the sex variable
on Cholesterol (P-Value: 0.000), HDL-C (P-Value: 0.000) and
triglycerides (P-Value: 0.000) of BMI on triglycerides (P-Value:
0.012), and weight (0.005) and tobacco kind (P-Value: 0.02) on
HDL-C. Changes in other factors were not associated with the
cardiovascular risk factors. The statistical characteristics of the
developed models are shown in Table 3-5.
Table 3: Statistical characteristics of the developed Logistic regression model.
Co-efficientsa
Model Unstandardized Coefficients Standardized Coefficients test P-value
B Std. Error Beta
(Constant) 1.351 0.085 15.96 0
sex 0.38 0.042 0.44 9.144 0
BMI -0.065 0.026 -0.122 -2.526 0.012
a. Dependent Variable: Triglycerides
Table 4: Statistical characteristics of the developed Logistic regression model.
Coefficientsa
Model
Unstandardized Coefficients Standardized Coefficients test P-value
B Std. Error Beta
(Constant) 1.341 0.102 13.187 0
sex 0.195 0.036 0.281 5.439 0
Weight 0.044 0.015 0.141 2.832 0.005
Tobacco kind 0.095 0.041 0.118 2.328 0.02
a. Dependent Variable: HDL-C
Table 5: Statistical characteristics of the developed Logistic regression model.
Co-efficientsa
Model
Unstandardized Coefficients Standardized Coefficients P-value
B Std. Error Beta test
(Constant) 1.697 0.052 32.689 0
sex 0.122 0.032 0.19 3.817 0
a. Dependent Variable: Total Cholesterol
Discussion and Conclusion
Several studies have indicated the presence of correlations
among variables for example body weight, smoking, age and classic
cardiovascular disease risk factors [18-20]; that is, one single factor
actually is not the determining factor but rather the comprehensive
interaction of all of them together are determining.
In this study, logistic regression as a conventional model
obtained poor prediction performance measure values. However,
LR distinguished that relationships exist between inputs and
dichotomous output variables (sex and BMI in TG and sex, weight
and tobacco kind in HDL-C and sex in total cholesterol as more
significant parameters). On the other hand, ANNs as a more
powerful model showed high response accuracy in predicting. To
examine the complex relationship between input variables and
output variables, ANNs are broadly used (Nelson & Illingworth) and
there are reasons for supporting the ANN-based model. The ANN-
based model can handle factors without specifying their complex
5. How to cite this article: Jahandideh S, Jahandideh M, Asefzadeh S, Ziaee A. The Use of Artificial Neural Network and Logistic Regression to Predict the
Influence of Lifestyle on Cardiovascular Risk Factors. COJ Nurse Healthcare. 1(1). COJNH.000505. 2017. DOI: 10.31031/COJNH.2017.01.000505
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non-linear relationships. In positions where determining factors
are numerous and/or not completely understood or controlled,
this is particularly beneficial. However, when wanting to determine
the relative influence of individual factors on performance of
prediction, this black box nature of ANN-based models may be
disadvantageous. As prediction of the influence of lifestyle on
cardiovascular risk factors was the objective of this research, the
predictive accuracy is the greatest advantage. In such research, the
black box nature is not a weakness. Gueli [21] in their research,
which had a similar aim, presented that a neural network offered
data for a single individual with a high probability (up to 93.33%)
[21].
In conclusion, our results are promising and confirm a
beneficial role of neural networks in predicting the influence of
lifestyle on cardiovascular risk factors. To have the most advantage
of data mining techniques, it is suggested to apply two successful
data mining tools, neural networks and genetic algorithms to cover
the weakness of ANNs.
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