scholarly journals A Biophysical Study of Relationships Among Nutrition, Glucose, and Neuroscience via Ppg Waveform Differences between Liquid Egg Meals and Solid Egg Meals Using Gh-Method: Math-Physical Medicine (No.294)

2020 ◽  
pp. 1-4
Author(s):  
Gerald C Hsu ◽  
Keyword(s):  
Decision Making ◽  
Cerebral Cortex ◽  
Food Intake ◽  
Communication Model ◽  
Physical Medicine ◽  
Internal Organs ◽  
Postprandial Plasma Glucose ◽  
Neural Communication ◽  
Liver And Pancreas ◽  
Biophysical Study

In this paper, the author describes his 2+ years (801 days) research results, from 5/5/2018 through 7/14/2020, using his 171 special meals glucose data. Initially, he researched the detailed postprandial plasma glucose (PPG) data resulting from both food intake and post-meal exercise via 97 solid egg meals (74 pan-fried and 23 hard broiled) and 74 liquid egg meals (egg drop soup). Based on his findings, he adopted a statistical method of “decision making via elimination” to search and verify a hypothetical neural communication model between the brain’s cerebral cortex and internal organs, such as the stomach, intestines, liver, and pancreas

scholarly journals A Neural Communication Model between Brain and Internal Organs via Postprandial Plasma Glucose Waveforms Study Based on 95 Liquid Egg Meals and 110 Solid Egg Meals (No. 311)

2020 ◽  
pp. 1-5
Author(s):  
Gerald C Hsu ◽  
Keyword(s):  
Cerebral Cortex ◽  
Plasma Glucose ◽  
Glucose Production ◽  
Communication Model ◽  
Internal Organs ◽  
Research Project ◽  
Continuous Glucose Monitor ◽  
Postprandial Plasma Glucose ◽  
Neural Communication ◽  
Liver And Pancreas

In this paper, the author described the progress on his two-year long special research project, from 5/5/2018 through 8/13/2020, to identify a neural communication model between the brain’s cerebral cortex and certain internal organs such as the stomach, liver, and pancreas. He used a continuous glucose monitor (CGM) sensor collected postprandial plasma glucose (PPG) data to investigate the glucose production amount at different timing and waveform differences between 95 liquid egg meals and 110 solid egg meals

scholarly journals Applying Segmentation Pattern Analysis to Investigate Postprandial Plasma Glucose Characteristics and Behaviors of the Carbs/Sugar Intake Amounts In Different Nations (GH Method: Math-Physical Medicine)

2020 ◽  
Vol 5 (1) ◽  
Keyword(s):  
Plasma Glucose ◽  
Pattern Analysis ◽  
Communication Model ◽  
Physical Medicine ◽  
Internal Organs ◽  
Postprandial Plasma Glucose ◽  
Sugar Intake ◽  
Liver And Pancreas ◽  
Segmentation Pattern ◽  
The Brain

In this paper, the author presents the results of his national segmentation pattern analysis of the sensor PPG data based on both high-carb and low-carb intake amounts. It also verified his earlier findings on the communication model between the brain and internal organs such as the stomach, liver, and pancreas.

scholarly journals Hypothesis on the glucose production’s communication model between thebrain and other internal organs, especially the stomach and liver

2020 ◽  
Keyword(s):  
Glucose Production ◽  
Internal Communication ◽  
Cooking Methods ◽  
Communication Model ◽  
Internal Organs ◽  
Continuous Glucose Monitor ◽  
Solid Meal ◽  
Liquid Meal ◽  
Postprandial Plasma Glucose ◽  
Lower Glucose

After reviewing the research results for six months, from September 2019 through February 2020, the author identified a probable internal communication model between the nervous system and certain vital internal organs, specifically the stomach and liver regarding postprandial plasma glucose (PPG) production. The author used a continuous glucose monitor device to collect 50,000 glucose data during the past 665 days. He focused on studying the relationships among different food nutritional contents, cooking methods, food material’s physical phases, and different characteristics and variants from his glucose waveform patterns. In this study, he focused on the three major meal groups based on food nutritional ingredients, meal’s preparation, and cooking methods of eggs, squash, and cabbage to create soup-based (liquid) meal and pan-fried (solid) meal. The PPG waveforms from these three meal groups demonstrated that soup-based liquid food produced a much lower glucose value than the pan-fried solid food. Although both liquid and solid meals have similar identical nutritional ingredients, he questions why did this occur? His hypothesis is that his PPG differences are due to specific physical phase of his finished meal either “liquid” or “solid”, which is his ready-to-eat meal’s final physical “phase” that determines his PPG characteristics and waveforms. The author utilized his GH-Method: math-physical medicine (MPM) approach to explore a T2D patient’s glucose production situation from a scientific view of the brain and nervous system’s functionalities. If this specific approach and above interpretation are accurate, we can then “trick” our brain into producing a “lesser” amount of glucose after food intake without altering or sacrificing the needed food nutritional balance. As a result, T2D patients can simply change their cooking method in order to lower both of their peak PPG values and their average PPG levels.

scholarly journals Hypothesis on the Glucose Production’s Communication Model Between the Brain and Other Internal Organs, Especially the Stomach and Liver

2020 ◽  
Keyword(s):  
Glucose Production ◽  
Internal Communication ◽  
Cooking Methods ◽  
Communication Model ◽  
Internal Organs ◽  
Continuous Glucose Monitor ◽  
Solid Meal ◽  
Liquid Meal ◽  
Postprandial Plasma Glucose ◽  
The Brain

After reviewing the research results for six months, from September 2019 through February 2020, the author identified a probable internal communication model between the nervous system and certain vital internal organs, specifically the stomach and liver regarding postprandial plasma glucose (PPG) production. The author used a continuous glucose monitor device to collect 50,000 glucose data during the past 665 days. He focused on studying the relationships among different food nutritional contents, cooking methods, food material’s physical phases, and different characteristics and variants from his glucose waveform patterns. In this study, he focused on the three major meal groups based on food nutritional ingredients, meal’s preparation, and cooking methods of eggs, squash, and cabbage to create soup-based (liquid) meal and pan-fried (solid) meal. The PPG waveforms from these three meal groups demonstrated that soup-based liquid food produced a much lower glucose value than the pan-fried solid food. Although both liquid and solid meals have similar identical nutritional ingredients, he questions why did this occur? His hypothesis is that his PPG differences are due to specific physical phase of his finished meal either “liquid” or “solid”, which is his ready-to-eat meal’s final physical “phase” that determines his PPG characteristics and waveforms. The author utilized his GH-Method: math-physical medicine (MPM) approach to explore a T2D patient’s glucose production situation from a scientific view of the brain and nervous system’s functionalities. If this specific approach and above interpretation are accurate, we can then “trick” our brain into producing a “lesser” amount of glucose after food intake without altering or sacrificing the needed food nutritional balance. As a result, T2D patients can simply change their cooking method in order to lower both of their peak PPG values and their average PPG levels.

scholarly journals Exploring the relationship between health literacy and fast food consumption: a population-based study from southern Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Azam Namdar ◽  
Mohammad Mehdi Naghizadeh ◽  
Marziyeh Zamani ◽  
Ali Montazeri
Keyword(s):  
Decision Making ◽  
Health Literacy ◽  
Food Intake ◽  
Food Consumption ◽  
Fast Food ◽  
Reading Skills ◽  
Negative Relationship ◽  
Fars Province ◽  
Southern Iran ◽  
Fast Food Consumption

Abstract Background Health literacy (HL) may affect the consumption of fast food. We aimed to evaluate the effect of HL on fast food consumption among adult populations in Iran. Methods We evaluated HL and fast food consumption in 421 adult participants with age range of 18–65 years old in Fasa, Fars Province, southern Iran. Two-step cluster and systematic sampling was performed to recruit the study sample. Data were collected using a fast food consumption checklist, and the Health Literacy Instrument for Adults (HELIA) by face-to-face interviews. Population data across groups with and without fast food intake were compared. Results Most participants used fast food every few months (49.9%). People with low or unstable income consumed more fast food than others (P < 0.05). Sandwich and hotdog were the most consumed fast food (60.8%) followed by pizza (34.9%). Sausage and soda were the most seasoning food (66.7%). Most participants used fast food as dinner (67.9%) and with family (72.2%), suggesting the institutionalized consumption of this type of food in the family. Fun was the most frequent reason for the use of fast food (66.5%). Most participants completely knew about the raw materials for fast food and their adverse effects. Finally, we found that overall health literacy was lower among those who used fast food than those who did not. Consumed fast food (68.16 ± 23.85 vs. 73.15 ± 20.15; p = 0.021). This difference was also observed for some components of health literacy including reading skills, and decision-making subscales. Conclusions The findings suggest there is a negative relationship between general health literacy and fast food consumption indicating that who possess lower level of health literacy is likely to consume more fast food. Specifically, the findings suggest that reading skills, and decision-making (behavioral intention) are more associated with decreased or increased fast food intake.

Letter to the Editor on “Factors Influencing Fellowship Decision Making During Physical Medicine & Rehabilitation Residency” by Yang et al.

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nicole B. Katz ◽  
Monica Verduzco-Gutierrez ◽  
Jacelyn E. Peabody Lever ◽  
Varina R. Clark ◽  
Julie K. Silver
Keyword(s):  
Decision Making ◽  
Physical Medicine ◽  
Factors Influencing ◽  
Letter To The Editor

On the Behavior-Based Risk Communication Models in Crisis Management and Social Risks Minimization

2020 ◽  
Vol 10 (2) ◽  
pp. 27-45
Author(s):  
Yuriy V. Kostyuchenko ◽  
Viktor Pushkar ◽  
Olga Malysheva ◽  
Maxim Yuschenko
Keyword(s):  
Decision Making ◽  
Crisis Management ◽  
Management Practices ◽  
Formal Model ◽  
Future Research ◽  
Communication Model ◽  
Risk Minimization ◽  
Social Risks ◽  
Assessment Approach ◽  
Future Research Directions

The article formulates and calibrates a formal model of risk communications in the framework of a risk-based community resilience assessment approach in transforming societies under crises and conflicts. It was demonstrated that perception of risks is not adequate. This situation is recognized as a threat, which leads to a significant increase of losses and to spreading of wrong crisis management practices. To improve decision-making at the personal, group, and population levels, a behavioral-based communication model has been proposed. The modified form of engagement into collective actions for substantially fractionalized society is proposed. A number of models of action calls and a collective decision-making under stress conditions with dynamic communication are put forward. On the basis of the developed model, ways of optimizing communication strategies are aimed at corresponding risk minimization are developed. Future research directions are highlighted.

A biophysical investigation on the relationships between the inputs of meal quantity percentage, carbs/sugar amount, and exercise, along with the outputs of postprandial plasma glucose, and body weight using GH-Method: Math-physical medicine (No. 295)

2020 ◽  
Keyword(s):  
Body Weight ◽  
Plasma Glucose ◽  
Influential Factors ◽  
Research Note ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
The Relationship

This research note describes the author’s investigation on differences among his three meals, which include breakfast, lunch, and dinner, in terms of their influential factors and their respective PPG data and waveforms. He further described the relationship between his body weight and meal quantity percentage for his normal portion. During this period, from 5/5/2018 to 7/14/2020, he collected detailed information of his 2,403 meals and ~64,000 glucose data.

Electronic Health Records to Coordinate Decision Making for Complex Patients: What Can We Learn from Wiki?

2010 ◽  
Vol 30 (6) ◽  
pp. 722-731 ◽  
Author(s):  
Aanand D. Naik ◽  
Hardeep Singh
Keyword(s):  
Decision Making ◽  
Disease Management ◽  
Communication Model ◽  
Medical Decisions ◽  
Disease Management Programs ◽  
Complex Patients ◽  
Patterns Of Communication ◽  
Working Together ◽  
Electronic Health ◽  
Novel Model

Background . Processes of communication that guide decision making among clinicians collaboratively caring for complex patients are poorly understood and vary based on local contexts. In this paper, the authors characterize these processes and propose a wiki-style communication model to improve coordination of decision making among clinicians using an integrated electronic health record (EHR). Methods . A narrative review of current patterns of communication among clinicians sharing medical decisions focusing on the emerging and potential roles of EHRs to enhance communication among clinicians caring for complex patients. Results . The authors present the taxonomy of decision making and communication among clinicians caring for complex patients. They then adapt wiki-style communication to propose a novel model of communication among clinicians for decision making within multidisciplinary disease management programs. Future innovations using wiki-style communication among clinicians are also described and placed in the context of medical decisions by clinicians working together in disease management programs. Conclusions . EHR-based wiki-style applications may have the potential to improve communication and care coordination among clinicians caring for complex patients. This could lead to improved quality and safety within multidisciplinary disease management programs.

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