scholarly journals Using Mathematical Model of Metabolism to Estimate the Risk Probability of Having a Cardiovascular Diseases or Stroke during 2010-2019 (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Mathematical Model ◽  
Cardiovascular Diseases ◽  
Metabolic Disorders ◽  
Stroke Risk ◽  
Physical Medicine ◽  
Risk Probability

The author uses GH-Method: math-physical medicine (MPM) approach to investigate his risk probability on metabolic disorders induced CVD or stroke (Risk).

scholarly journals Using Mathematical Model of Metabolism to Estimate the Risk Probability of Having a Cardiovascular Diseases or Stroke during 2010-2019 (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Mathematical Model ◽  
Cardiovascular Diseases ◽  
Metabolic Disorders ◽  
Stroke Risk ◽  
Physical Medicine ◽  
Risk Probability

The author uses GH-Method: math-physical medicine (MPM) approach to investigate his risk probability on metabolic disorders induced CVD or stroke (Risk).

scholarly journals Using Glucose and Its Associated Energy to Study the Risk Probability Percentage of Having a Stroke or Cardiovascular Diseases from 2018 through 2020 (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Metabolic Disorders ◽  
Stroke Risk ◽  
Physical Medicine ◽  
Risk Probability

The author uses the GH-Method: math-physical medicine (MPM) approach to investigate his risk probability on metabolic disorders induced cardiovascular disease (CVD) or stroke (“Risk”). This article focuses on a specific period from 2018 through 2020 by using glucoses and their associated energies to compare the existing results utilizing his overall metabolism conditions.

scholarly journals Using Glucose and Its Associated Energy to Study the Risk Probability Percentage of Having a Stroke or Cardiovascular Diseases from 2018 through 2020 (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Metabolic Disorders ◽  
Stroke Risk ◽  
Physical Medicine ◽  
Risk Probability

The author uses the GH-Method: math-physical medicine (MPM) approach to investigate his risk probability on metabolic disorders induced cardiovascular disease (CVD) or stroke (“Risk”). This article focuses on a specific period from 2018 through 2020 by using glucoses and their associated energies to compare the existing results utilizing his overall metabolism conditions.

Age-related blood biochemical changes (lipid metabolism) in healthy young and mature men living under the North conditions

2021 ◽  
Vol 66 (12) ◽  
pp. 728-732
Author(s):  
Inessa Vladislavovna Averyanova
Keyword(s):  
Lipid Metabolism ◽  
Cardiovascular Diseases ◽  
Lipid Profile ◽  
Metabolic Disorders ◽  
Age Groups ◽  
Photometric Method ◽  
The North ◽  
Blood Biochemical ◽  
Age Related ◽  
Younger Men

Metabolic disorders (dyslipidemias) are currently crucial since they develop cardiovascular diseases. The work was aimed at studying age dynamics and its correlation with severity of dyslipidemia in basic lipid metabolism variables (in different age groups). Materials and methods: Examinees were Caucasians born and permanently residing in Magadan region: 55 mature men and 147 young men (mean ages were 36.8±0.8 and 18.7±0.8 yr, respectively). Blood serum lipid metabolism was examined by colorimetric and photometric method using AU 680 (Beckman Coulter, USA). Results: The data of obtained lipidogram showed dependence of rise in all indicators on subjective older age with higher percentage of dyslipidemia and increase in calculated indices reflecting degree of the lipid profile atherogenicity. Conclusion: Overall, the North study revealed a safer lipid profile in group of younger men, while biochemical picture of older residents demonstrated increased values. Lipid atherogenicity is a very alarming factor in developing cardiovascular diseases, and a predictor of risks for metabolic syndrome.

Placenta as a target organ for maternal obesity

2021 ◽  
Vol 20 (5) ◽  
pp. 93-99
Author(s):  
N.N. Smirnova ◽  
◽  
N.B. Kuprienko ◽  
V.P. Novikova ◽  
A.I. Khavkin ◽  
...  
Keyword(s):  
Amino Acid ◽  
Cardiovascular Diseases ◽  
Metabolic Disorders ◽  
Maternal Obesity ◽  
Morphological Structure ◽  
Perinatal Outcomes ◽  
Target Organ ◽  
Placental Function ◽  
Adverse Perinatal Outcomes ◽  
Inflammatory Changes

Maternal obesity is associated with pregnancy complications and increases the risk of obesity, diabetes, and cardiovascular diseases in children later in life. The risk of adverse perinatal outcomes in maternal obesity is associated with changes in placental function and morphological structure, including decidual arteriopathy and placental infarction, increased placental disc mass (>90th percentile) and chronic inflammation of villi with a decrease in their number. Maternal obesity is associated with placental hypoxia, intense angiogenesis, and increased levels of glucose and amino acid transporter transcripts, which can cause fetal metabolic disorders. It was found that maternal obesity more often leads to inflammatory changes in the placenta of female fetuses. The review describes the main adipokines operating in the maternal-placental-fetal system: leptin, adiponectin, chemerin, visfatin, resistin, and apelin. Conclusion. The analysis of the literature enabled to identify the main statements characterizing the placenta as a target organ and an organ that changes fetal metabolism in case of maternal obesity. This reveals the prospects for therapeutic intervention since timely initiated dietary correction of obesity can improve the course and prognosis of pregnancy and reduce the risk of adverse effects of intrauterine factors on the fetus. Key words: adipokines, maternal obesity, fetal metabolic disorders, perinatal outcomes

scholarly journals Stroke and stroke risk factors as disease burden

2021 ◽  
pp. 146-151
Author(s):  
S. Ozturk ◽  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cardiovascular Diseases ◽  
Cardiovascular Health ◽  
Stroke Risk ◽  
Heart Diseases ◽  
Health Indicators ◽  
The United States ◽  
Blood Cholesterol ◽  
Stroke Risk Factor

Stroke is the most common cause of disability and death in the world. Cardiovascular disease rates increase with age (10.9 % for people aged 20–30 years and 85.3 % for people older than 80 years). Coronary heart diseases is the leading cause of deaths attributable to cardiovascular diseases in the United States, followed by stroke, high BP, HF, diseases of the arteries, and other cardiovascular diseases. The report on the global burden of neurological disorders has shown that hemorrhagic stroke accounted for 35.7 % in it, and ischemic stroke, 22.4 %. Seven indicators are important and strategic to prevent cardiovascular disorders; they include healthy diet, sufficient physical activity, smokingstatius, BMI, cholesterol level, blood pressure, and glucose in blood on a fasting stomach. These indicators are associated with healthy behavior (diet quality, PA, smoking, BMI) which are as important as health factors (blood cholesterol, BP, blood glucose). There is a strong protective association between ideal cardiovascular health indicators and many clinical and preclinical conditions including premature all-cause mortality, stroke, CVD mortality, ischemic heart disease mortality, HF, deep venous thromboembolism, and pulmonary embolism. Atrial fibrillation, metabolic syndrome, renal failure, and sleep apnea are important risk factors which are modifiable and treatable. Air pollution has been reported as an increasing and very important risk factor for stroke. COVID-19 has been reported as another new stroke risk factor during the pandemic. Future targets must include each cardiovascular health indicator to decrease stroke risk burden and stroke risk.

scholarly journals Cancer Prevention Through Improvements on Lifestyle and Metabolism Using GH-Method: Math-Physical Medicine (No. 342)

2020 ◽  
Vol 2 (2) ◽  
pp. 1-4
Author(s):  
Gerald C Hsu ◽  
Keyword(s):  
Cancer Prevention ◽  
Lower Risk ◽  
Research Method ◽  
Strong Relationship ◽  
Health Conditions ◽  
Health Examination ◽  
Physical Medicine ◽  
The Past ◽  
Risk Probability ◽  
Dynamic Simulation Model

This paper describes the author’s investigation into the prevention from having various cancers and his risk probability based on improvements on lifestyle and metabolism. His risk probabilities percentage of having cancer over the past 11 years with lower risk percentages (<50%) from 2014 - 2020 and higher risk percentages (>50%) from 2010 - 2013. It should be noted that the higher prediction accuracy occurred during 2015-2020 due to his collection of more completed data. (1) Year of 2010: 88% (2) Year of 2011: 74% (3) Year of 2012: 58% (4) Year of 2013: 55% (5) Year of 2014: 50% (6) Year of 2015: 48% (7) Year of 2016: 46% (8) Year of 2017: 45% (9) Year of 2018: 45% (10)Year of 2019: 45% (11)Year of 2020: 43% It seems that 50% is a reasonable “cut-off ” line between higher risk versus lower risk. The trend of the past 11 years risk probability percentages of having cancer from the viewpoint of cancer prevention is being reduced year after year, which is an encouraging fact. The calculated cancer prevention and risk probability results via lifestyle and metabolism have been validated by his many health examination reports from the past 20 years. This big data based on a dynamic simulation model and data mining using GH-Method: math-physical medicine approach can provide an early warning to which factors or areas to monitor in order to continuously improve his health conditions. The author wrote this article to share with other people, who may have similar interest in reducing their risk probability of getting cancer. As stated previously, he is not an expert on oncology but a research scientist in both lifestyle and metabolism. Metabolism and cancer have a strong relationship with one another; therefore, hopefully, his research method and preliminary findings would have some merit to help others to prevent them from getting cancer.

scholarly journals C/EBPβ regulates hypertrophic versus hyperplastic fat tissue growth

2020 ◽  
Author(s):  
Christine Müller ◽  
Laura M. Zidek ◽  
Sabrina Eichwald ◽  
Cornelis F. Calkhoven
Keyword(s):  
Cardiovascular Diseases ◽  
High Fat Diet ◽  
Metabolic Disorders ◽  
Tissue Growth ◽  
Fat Intake ◽  
Fat Tissue ◽  
High Fat ◽  
Increased Risk ◽  
Healthy Obese ◽  
Adipocyte Hyperplasia

AbstractChronic obesity is correlated with severe metabolic and cardiovascular diseases as well as with an increased risk for developing cancers. Obesity is usually characterized by fat accumulation in enlarged - hypertrophic – adipocytes that are a source of inflammatory mediators, which is seen as causal for developing metabolic disorders. Yet, in certain healthy obese individuals fat is stored in metabolically more favorable hyperplastic fat tissue that contains an increased number of smaller adipocytes that are less inflamed. In a previous study we demonstrated that C/EBPβ-LIP deficient, yet C/EBPβ-LAP proficient mice show an expanded health and lifespan. Here we show that in mice on a high-fat diet LIP-deficiency results in adipocyte hyperplasia as well as efficient fat storage in subcutaneous depots associated with metabolic and inflammatory improvements. Our data identify C/EBPβ as a regulator of adipocyte fate in response to increased fat intake, which has major implications for metabolic health and aging.

scholarly journals Detailed Contribution Analysis of Various Medical Conditions on Risk Probability Percentage of Having Cardiovascular Disease or Stroke Using GH-Method: Math-Physical Medicine (No: 315)

2020 ◽  
pp. 1-4
Author(s):  
Gerald C Hsu ◽  
Keyword(s):  
Cardiovascular Disease ◽  
Medical Condition ◽  
Medical Conditions ◽  
Physical Medicine ◽  
Contribution Analysis ◽  
Risk Probability

The author uses his developed GH-Method: math-physical medicine approach to investigate a more detailed contribution analysis of three medical condition sub-categories on his risk probability percentages of having cardiovascular disease (CVD) or stroke for over a period of 10+ years

scholarly journals Overview of Meta-Analyses: The Impact of Dietary Lifestyle on Stroke Risk

2019 ◽  
Vol 16 (19) ◽  
pp. 3582 ◽  
Author(s):  
Emma Altobelli ◽  
Paolo Matteo Angeletti ◽  
Leonardo Rapacchietta ◽  
Reimondo Petrocelli
Keyword(s):  
Cardiovascular Diseases ◽  
Stroke Risk ◽  
Web Of Science ◽  
Eating Habits ◽  
High Income ◽  
World Health ◽  
Cochrane Library ◽  
Behavioral Risk ◽  
Meta Analyses ◽  
The Impact

A stroke is one of the most prevalent cardiovascular diseases worldwide, both in high-income countries and in medium and low-medium income countries. The World Health Organization’s (WHO) report on non-communicable diseases (NCDs) indicates that the highest behavioral risk in NCDs is attributable to incorrect nutrition. The objective of our work is to present an overview of meta-analyses that have investigated the impact of different foods and/or drinks in relationship with the risk of stroke events (ischemic/hemorrhagic). The papers to be included in the overview were found in MEDLINE, EMBASE, Scopus, Clinicaltrials.gov, Web of Science, and Cochrane Library and were selected according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow chart. Quality assessment were made according to the AMSTAR 2 scale. This overview shows that all primary studies came from countries with high income levels. This evidence shows that many countries are not represented. Therefore, different lifestyles, ethnic groups, potentially harmful or virtuous eating habits are not reported. It is important to underline how the choose of foods may help reduce the risk of cardiovascular diseases and stroke in particular.

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