Comparison of Blood Pressure, Blood Lipids Level, and Nutrient Intake According to Green Tea and Beverage Consumption in Korean Men

2017 ◽  
Vol 23 (2) ◽  
pp. 52-62
Author(s):  
Jong-Hee Lee ◽  
Mi-Ja Choi
Keyword(s):  
Blood Pressure ◽  
Green Tea ◽  
Nutrient Intake ◽  
Blood Lipids ◽  
Beverage Consumption

Haematocrit: Relationships with Blood Lipids, Blood Pressure and other Cardiovascular Risk Factors

1994 ◽  
Vol 72 (01) ◽  
pp. 058-064 ◽  
Author(s):  
Goya Wannamethee ◽  
A Gerald Shaper
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Alcohol Intake ◽  
Blood Lipids ◽  
The Other ◽  
The Relationship

SummaryThe relationship between haematocrit and cardiovascular risk factors, particularly blood pressure and blood lipids, has been examined in detail in a large prospective study of 7735 middle-aged men drawn from general practices in 24 British towns. The analyses are restricted to the 5494 men free of any evidence of ischaemic heart disease at screening.Smoking, body mass index, physical activity, alcohol intake and lung function (FEV1) were factors strongly associated with haematocrit levels independent of each other. Age showed a significant but small independent association with haematocrit. Non-manual workers had slightly higher haematocrit levels than manual workers; this difference increased considerably and became significant after adjustment for the other risk factors. Diabetics showed significantly lower levels of haematocrit than non-diabetics. In the univariate analysis, haematocrit was significantly associated with total serum protein (r = 0*18), cholesterol (r = 0.16), triglyceride (r = 0.15), diastolic blood pressure (r = 0.17) and heart rate (r = 0.14); all at p <0.0001. A weaker but significant association was seen with systolic blood pressure (r = 0.09, p <0.001). These relationships remained significant even after adjustment for age, smoking, body mass index, physical activity, alcohol intake, lung function, presence of diabetes, social class and for each of the other biological variables; the relationship with systolic blood pressure was considerably weakened. No association was seen with blood glucose and HDL-cholesterol. This study has shown significant associations between several lifestyle characteristics and the haematocrit and supports the findings of a significant relationship between the haematocrit and blood lipids and blood pressure. It emphasises the role of the haematocrit in assessing the risk of ischaemic heart disease and stroke in individuals, and the need to take haematocrit levels into account in determining the importance of other cardiovascular risk factors.

Effects of Obesity Index, Blood Pressure, Health Fitness, Nutrient Intake on Exercise and Nutrition Education in Hypertension Patents.

2012 ◽  
Vol 14 (1) ◽  
pp. 21-32 ◽  
Author(s):  
강설중 ◽  
김성진 ◽  
홍지영 ◽  
Jung, Seong-Lim ◽  
김민주 ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Nutrition Education ◽  
Nutrient Intake ◽  
Obesity Index

182 ASSOCIATION OF NUMBER OF DAILY EATING EPISODES WITH BLOOD PRESSURE AND NUTRIENT INTAKE

2012 ◽  
Vol 30 ◽  
pp. e54-e55 ◽  
Author(s):  
Ghadeer S. Aljuraiban ◽  
Queenie Chan ◽  
Ian J. Brown ◽  
Linda M. Oude Griep ◽  
Martha L. Daviglus ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Nutrient Intake

Green tea catechins and blood pressure: a systematic review and meta-analysis of randomised controlled trials

2014 ◽  
Vol 53 (6) ◽  
pp. 1299-1311 ◽  
Author(s):  
Saman Khalesi ◽  
Jing Sun ◽  
Nicholas Buys ◽  
Arash Jamshidi ◽  
Elham Nikbakht-Nasrabadi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Blood Pressure ◽  
Green Tea ◽  
Randomised Controlled Trials ◽  
Meta Analysis ◽  
Controlled Trials ◽  
Tea Catechins ◽  
Green Tea Catechins ◽  
Randomised Controlled

scholarly journals Plasma Adrenaline: Relations to Blood Pressure, Blood Platelet Function and Blood Lipids in Essential Hypertension

1988 ◽  
Vol 63 ◽  
pp. 35-37
Author(s):  
Sverre E. Kjeldsen ◽  
Knut Lande ◽  
Knut Gjesdal ◽  
Paul Leren ◽  
Ivar K. Eide
Keyword(s):  
Blood Pressure ◽  
Essential Hypertension ◽  
Platelet Function ◽  
Blood Lipids ◽  
Blood Platelet ◽  
Plasma Adrenaline

scholarly journals VARIABILITY OF BLOOD PRESSURE INCREASES DURING FEEDING IN NEWBORNS IS RELATED TO VARIATIONS IN VOLUME OF NUTRIENT INTAKE AND NOT TO THE WORK OF FEEDING.† 846

1997 ◽  
Vol 41 ◽  
pp. 143-143
Author(s):  
Morris Cohen ◽  
David R Brown ◽  
Lorraine E Solecki ◽  
Mark Pilipski ◽  
Michael M Myers
Keyword(s):  
Blood Pressure ◽  
Nutrient Intake

scholarly journals Effective Treatment Recommendations for Type 2 Diabetes Management Using Reinforcement Learning: Treatment Recommendation Model Development and Validation (Preprint)

2021 ◽  
Author(s):  
Xingzhi Sun ◽  
Yong Mong Bee ◽  
Shao Wei Lam ◽  
Zhuo Liu ◽  
Wei Zhao ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Reinforcement Learning ◽  
Blood Lipids ◽  
Diabetes Complications ◽  
Data Driven ◽  
Lipid Lowering ◽  
Treatment Recommendation

BACKGROUND Type 2 diabetes mellitus (T2DM) and its related complications represent a growing economic burden for many countries and health systems. Diabetes complications can be prevented through better disease control, but there is a large gap between the recommended treatment and the treatment that patients actually receive. The treatment of T2DM can be challenging because of different comprehensive therapeutic targets and individual variability of the patients, leading to the need for precise, personalized treatment. OBJECTIVE The aim of this study was to develop treatment recommendation models for T2DM based on deep reinforcement learning. A retrospective analysis was then performed to evaluate the reliability and effectiveness of the models. METHODS The data used in our study were collected from the Singapore Health Services Diabetes Registry, encompassing 189,520 patients with T2DM, including 6,407,958 outpatient visits from 2013 to 2018. The treatment recommendation model was built based on 80% of the dataset and its effectiveness was evaluated with the remaining 20% of data. Three treatment recommendation models were developed for antiglycemic, antihypertensive, and lipid-lowering treatments by combining a knowledge-driven model and a data-driven model. The knowledge-driven model, based on clinical guidelines and expert experiences, was first applied to select the candidate medications. The data-driven model, based on deep reinforcement learning, was used to rank the candidates according to the expected clinical outcomes. To evaluate the models, short-term outcomes were compared between the model-concordant treatments and the model-nonconcordant treatments with confounder adjustment by stratification, propensity score weighting, and multivariate regression. For long-term outcomes, model-concordant rates were included as independent variables to evaluate if the combined antiglycemic, antihypertensive, and lipid-lowering treatments had a positive impact on reduction of long-term complication occurrence or death at the patient level via multivariate logistic regression. RESULTS The test data consisted of 36,993 patients for evaluating the effectiveness of the three treatment recommendation models. In 43.3% of patient visits, the antiglycemic medications recommended by the model were concordant with the actual prescriptions of the physicians. The concordant rates for antihypertensive medications and lipid-lowering medications were 51.3% and 58.9%, respectively. The evaluation results also showed that model-concordant treatments were associated with better glycemic control (odds ratio [OR] 1.73, 95% CI 1.69-1.76), blood pressure control (OR 1.26, 95% CI, 1.23-1.29), and blood lipids control (OR 1.28, 95% CI 1.22-1.35). We also found that patients with more model-concordant treatments were associated with a lower risk of diabetes complications (including 3 macrovascular and 2 microvascular complications) and death, suggesting that the models have the potential of achieving better outcomes in the long term. CONCLUSIONS Comprehensive management by combining knowledge-driven and data-driven models has good potential to help physicians improve the clinical outcomes of patients with T2DM; achieving good control on blood glucose, blood pressure, and blood lipids; and reducing the risk of diabetes complications in the long term.

Ambulatory blood pressure and blood lipids in a multiethnic sample of healthy adults

2013 ◽  
Vol 25 (4) ◽  
pp. 563-565
Author(s):  
Gary D. James ◽  
Helene M. Van Berge-Landry ◽  
Lynn A. Morrison ◽  
Angela M. Reza ◽  
Nicola M. Nicolaisen ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Ambulatory Blood Pressure ◽  
Blood Lipids ◽  
Healthy Adults ◽  
Multiethnic Sample

Nutrient intake and blood pressure: families of adult identical twins.

1988 ◽  
Vol 7 (6) ◽  
pp. 509-518 ◽  
Author(s):  
J Z Miller ◽  
J C Christian ◽  
N S Fineberg ◽  
C E Grim
Keyword(s):  
Blood Pressure ◽  
Nutrient Intake ◽  
Identical Twins
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