The document describes a proposed mobile app called the Metabolic Health Monitor (MHM) that would help patients manage weight problems and insulin resistance with limited access to healthcare. The app would track diet, activity, weight and body composition over time to estimate energy balances and insulin resistance levels. It uses mathematical modeling of metabolism improved from past work. Simulation studies showed it could accurately estimate changes in fat and lean mass. The goal is to help people in rural areas self-manage their health through the app's feedback and goal-setting features.
We designed a model that would take input of a person's specifications, and then based on that would give a meal plan for the person for a week; great for busy people to stay healthy as well.
Food Intake for Body Weight Management System using Linear Programming Modelijtsrd
From health surveys for public, the overweight condition of people happens frequently due to three causes eating too much, exercising too little, and eating incorrectly. For the normal person, it is difficult to know the situation means that acquiring and maintaining a healthy body weight. Therefore, this system tries to help the users to achieve a balanced diet in body weight management. For the body weight management system, the appropriate recipe will be calculated by linear programming for the users. To achieve a balanced diet with low calorie, the system can generate a recommended recipe for dinner, which intends to meet users' nutritional requirement according to their intake of breakfast and lunch. For the body weight management system, the appropriate recipe will be calculated by integer linear programming for the users. To achieve a balanced diet with low calorie, the system can generate a recommended recipe for dinner, which intends to meet users' nutritional requirement according to their intake of breakfast and lunch. Phyu Phyu | Thin Thin Swe "Food Intake for Body Weight Management System using Linear Programming Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26735.pdfPaper URL: https://www.ijtsrd.com/computer-science/cognitive-science/26735/food-intake-for-body-weight-management-system-using-linear-programming-model/phyu-phyu
Exercise and cancer: How staying active can positively impact your health and...Inspire
In an hour-long webinar, nationally recognized exercise specialist Carol Michaels, MBA, ACE, ACSM discussed how maintaining an exercise program during cancer treatment and recovery can help patients to minimize treatment side effects, increase energy levels, and reduce stress, along with many other benefits. Inspire produced the educational webinar in partnership with the Bladder Cancer Advocacy Network, US TOO International, and ThyCa: Thyroid Cancer Survivors' Association.
YOGURT CONSUMPTION IS ASSOCIATED WITH LESS WEIGHT GAIN OVER TIME - Professor ...Yogurt in Nutrition #YINI
Latest studies confirm association of yogurt consumption with less weight gain over time and a reduced risk of becoming overweight or obese. The potential benefits of yogurt consumption to reduce weight gain over time have been confirmed in several recently-reported studies discussed today (1,2). Scientists have found that regular yogurt consumption is associated with less weight gain and a reduced risk of becoming overweight or obese. Speaking to public health officials at the III World Congress of Public Health Nutrition in Spain, Professor Frans J Kok from the Division of Human Nutrition at Wageningen University in the Netherlands, underlined the potentially unique role of daily yogurt consumption for weight management. However, he also highlighted the need for randomized controlled trials and mechanistic studies to help understand how this might occur.
We designed a model that would take input of a person's specifications, and then based on that would give a meal plan for the person for a week; great for busy people to stay healthy as well.
Food Intake for Body Weight Management System using Linear Programming Modelijtsrd
From health surveys for public, the overweight condition of people happens frequently due to three causes eating too much, exercising too little, and eating incorrectly. For the normal person, it is difficult to know the situation means that acquiring and maintaining a healthy body weight. Therefore, this system tries to help the users to achieve a balanced diet in body weight management. For the body weight management system, the appropriate recipe will be calculated by linear programming for the users. To achieve a balanced diet with low calorie, the system can generate a recommended recipe for dinner, which intends to meet users' nutritional requirement according to their intake of breakfast and lunch. For the body weight management system, the appropriate recipe will be calculated by integer linear programming for the users. To achieve a balanced diet with low calorie, the system can generate a recommended recipe for dinner, which intends to meet users' nutritional requirement according to their intake of breakfast and lunch. Phyu Phyu | Thin Thin Swe "Food Intake for Body Weight Management System using Linear Programming Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26735.pdfPaper URL: https://www.ijtsrd.com/computer-science/cognitive-science/26735/food-intake-for-body-weight-management-system-using-linear-programming-model/phyu-phyu
Exercise and cancer: How staying active can positively impact your health and...Inspire
In an hour-long webinar, nationally recognized exercise specialist Carol Michaels, MBA, ACE, ACSM discussed how maintaining an exercise program during cancer treatment and recovery can help patients to minimize treatment side effects, increase energy levels, and reduce stress, along with many other benefits. Inspire produced the educational webinar in partnership with the Bladder Cancer Advocacy Network, US TOO International, and ThyCa: Thyroid Cancer Survivors' Association.
YOGURT CONSUMPTION IS ASSOCIATED WITH LESS WEIGHT GAIN OVER TIME - Professor ...Yogurt in Nutrition #YINI
Latest studies confirm association of yogurt consumption with less weight gain over time and a reduced risk of becoming overweight or obese. The potential benefits of yogurt consumption to reduce weight gain over time have been confirmed in several recently-reported studies discussed today (1,2). Scientists have found that regular yogurt consumption is associated with less weight gain and a reduced risk of becoming overweight or obese. Speaking to public health officials at the III World Congress of Public Health Nutrition in Spain, Professor Frans J Kok from the Division of Human Nutrition at Wageningen University in the Netherlands, underlined the potentially unique role of daily yogurt consumption for weight management. However, he also highlighted the need for randomized controlled trials and mechanistic studies to help understand how this might occur.
Greinargerð með erindinu „Heimildamynd um - þig!“ sem er greining á heimildamyndinni Dagur í lífi þjóðar sem RÚV vann með þátttöku fólksins í landinu. Erindið var haldið í Odda 27 - Háskóla Íslands í Menning og miðlun.
EL COMERCIO ELECTRONICO
Compra y venta de productos o de servicios a través de medios electrónicos, tales como internet y otras redes informáticas. Originalmente el termino se aplicaba a la realización de transacciones mediante medios electrónicos de datos. A mediado de los 90 comenzó a referirse principalmente a la venta de vienes y servicios atreves de internet usando como forma de pago medios electrónicos como las tarjetas de crédito.
Fat and Skinner From The Branch Out SeriesBrian Curley
CE Course:
http://learn.centralreach.com/tree/fat-skinner-webinar-1-ce-credit-for-bcba-cert/2903277/
Join Dr. Michael J. Cameron Ph-D, BCBA-D and renowned Author/Journalist David H. Freedman as we explore how to establish behavioral patterns that promote weight loss, exercise adherence and overall health and fitness.
Data Analytics Contest organised by ideatory.co
Stage 1: Survey rating for various events by users to be predicted
Stage 2 : Recommend predictive modeling idea based on daily routine life issues
Slideshow is from the University of Michigan Medical School's M1 Endocrine / Reproduction sequence
View additional course materials on Open.Michigan:
openmi.ch/med-M1Endo
Greinargerð með erindinu „Heimildamynd um - þig!“ sem er greining á heimildamyndinni Dagur í lífi þjóðar sem RÚV vann með þátttöku fólksins í landinu. Erindið var haldið í Odda 27 - Háskóla Íslands í Menning og miðlun.
EL COMERCIO ELECTRONICO
Compra y venta de productos o de servicios a través de medios electrónicos, tales como internet y otras redes informáticas. Originalmente el termino se aplicaba a la realización de transacciones mediante medios electrónicos de datos. A mediado de los 90 comenzó a referirse principalmente a la venta de vienes y servicios atreves de internet usando como forma de pago medios electrónicos como las tarjetas de crédito.
Fat and Skinner From The Branch Out SeriesBrian Curley
CE Course:
http://learn.centralreach.com/tree/fat-skinner-webinar-1-ce-credit-for-bcba-cert/2903277/
Join Dr. Michael J. Cameron Ph-D, BCBA-D and renowned Author/Journalist David H. Freedman as we explore how to establish behavioral patterns that promote weight loss, exercise adherence and overall health and fitness.
Data Analytics Contest organised by ideatory.co
Stage 1: Survey rating for various events by users to be predicted
Stage 2 : Recommend predictive modeling idea based on daily routine life issues
Slideshow is from the University of Michigan Medical School's M1 Endocrine / Reproduction sequence
View additional course materials on Open.Michigan:
openmi.ch/med-M1Endo
"Enabling Access to Continuous Metabolic Data for Personalized Nutrition and ...Hyper Wellbeing
"Enabling Access to Continuous Metabolic Data for Personalized Nutrition and Wellbeing" - Ashwin Pushpala (CEO, Sano)
Delivered at the inaugural Hyper Wellbeing Summit, 14th November 2016, Mountain View, California.
For more information including details of subsequent events, please visit http://hyperwellbeing.com
The summit was created to foster a community around an emerging industry - Wellness as a Service (WaaS). Consumer technologies, in particular wearables and mobile, are powering a consumer revolution. A revolution to turn health and wellness into platform delivered services. A revolution enabling consumer data-driven disease risk reduction. A revolution extending health care past sick care towards consumer-led lifelong health, wellness and lifestyle optimization.
WaaS newsletter sign-up http://eepurl.com/b71fdr
@hyperwellbeing
Globally 165 million children under-five
years of age are stunted. Hence development of local
therapeutic nutritional intervention is recommended by WHO.
Present study was designed to find the efficacy of the
nutritional intervention for the recovery of impaired lipid
metabolism and correlation of weight for height% with
cholesterol, triglyceride in malnourished children. 105 test and
100 control SAM children without infection, of 1 to 5 years of
age and either sex were enrolled. Test group was given
treatment of nutritional intervention therapy, providing 2.5 to
3gm Protein and 90-100 kcal /kg body Weight/day, for the
three months. Their Anthropometric, and Biochemical
parameters were measured before and after the nutritional
therapy. Before the nutritional intervention treatment P values
for Serum Total cholesterol, Triglyceride, Weight for height
%, were insignificant suggestive of similar baseline
characteristics at enrollment. After nutritional intervention
treatment P values for Serum Total cholesterol, Triglyceride,
Weight for height % were highly significant. The r value of
Pearson correlation coefficient for triglycerides in the study
group and its ANOVA model was very significant, showing
poor positive correlation with weight for height % while for
total cholesterol it was found to be insignificant. Depending on
results we conclude that it is the most effective food supplement
for the speedy recovery of the impaired lipid metabolism in
SAM children and the use of weight for height % as a
anthropometric marker for the pre-indication of fatty liver in
malnourished children
The Okinawa Flat Belly Tonic is a new one of a kind weight loss “tonic” supplement. It helps men and women burn fat fast using a simple 20-second Japanese tonic. IF THAT TONIC DOES NOT WORK AS GIVEN YOUR VALUABLE MONEY WILL REFUND WITH IMMEDIATE EFFECT.
1. Fighting Weight Problems and Insulin Resistance
with the Metabolic Health Monitor App for
Patients in the Setting of Limited Access to
Health Care in Rural America*
Zsolt Ori, MD, MS, FACP
Ori Diagnostic Instruments, LLC
Durham, NC, USA
zsolt.ori56@gmail.com
Ilona Ori, JD
Ori Diagnostic Instruments, LLC
Durham, NC, USA
ilona@uchicago.edu
*Research supported by Ori Diagnostic Instruments, L.L.C; U.S. patent pending:
application numbers 14541033 and 62372363
2. Rural America has:
• Higher rate of obesity than average
• Higher rate of poverty
• Higher rate of sedentariness
• Less access to health care provider
• Fewer doctors
• Higher rate of prediabetes prevalence
• Less academic research
“Non intellecti nulla est curatio morbi...”
“Without proper understanding, there will be no cure for disease...”
--Cornelius Gallus (i.e. 70-26) Roman poet, orator and politician
3. From Cybernetics to Self-directed Cyber-therapy in the Era of Mobile
Communication and Computing
- The Age of “Apps”-
Cybernetics
Norbert Wiener (1894 – 1964)
• Communication & computing
John von Neuman (1903 – 1957)
• Feedback & statistical
estimation
Kálmán Rudolf Emil (1930 – 2016)
• Control
Norbert Wiener (1894 – 1964) & Andrey Kolmogorov (1903–1987)
Cyber-therapy - the Metabolic Health
Monitor App
• Mobile communication and computer
devices
• Feedback- Objective metrics with use
of personalized mathematical
modeling
• Self-Control - Adaptive predictive
control and individualized dynamic
behavior change models
• Coaching by remote healthy lifestyle
team and telemedicine
• Social media networking
5. Three proposed metabolic metrics and trajectories
that uniquely identify the individual’s metabolic
trend
The daily energy density of the fat mass change ϱ 𝐹
∗
𝑘
:
ϱ 𝐹
∗
𝑘
=
11.72
𝐾𝑐𝑎𝑙
𝑔𝑟𝑎𝑚
𝑖𝑓 ∆𝐹𝑘 > 0
9.4
𝐾𝑐𝑎𝑙
𝑔𝑟𝑎𝑚
𝑖𝑓 ∆𝐹𝑘 ≤ 0
The daily energy density of the lean mass change ϱ 𝐿
∗
𝑘
:
ϱ 𝐿
∗
𝑘
=
ϱ 𝐹
∗
𝑘
𝐸 𝑘 − 𝐷 𝑘
∆𝐿 𝑘+1 = 𝐷 𝑘 · ∆𝐹𝑘+1 + 𝐸 𝑘 ∙ 𝐶𝐼 𝑘 + 𝐹𝐼 𝑘 + 𝑃𝐼 𝑘 − 𝑇𝐸𝐸 𝑘
The daily ratio of lean body mass change velocity and fat
mass change velocity or R ratio 𝑅 𝑘
∗
:
𝑅 𝑘
∗
=
∆𝐿 𝑘+1
∆𝐹𝑘+1
Change
in lean
mass
Change
in fat
mass
Change in
energy
balance
ϱ 𝐿
∗
𝑘
ϱ 𝐿
∗
𝑘
𝑅 𝑘
∗
6. The R-Ratio, a Novel Surrogate Market of the Insulin
Resistance
Insulin resistance, and the compensatory hyperinsulinemia that
follows, appear to be caused primarily by excess body fat, particularly
around the abdomen and organs, which leads to inflammation and
elevated blood glucose levels.
Energy balance experiments and clinical experience demonstrate also
that the ability to gain or lose weight depends not only on the energy
balance but also on the state of insulin sensitivity/ resistance and
along with it on the body’s fat mass itself.
ϱ 𝐿
∗
𝑘
· 𝑅 𝑘
∗
+ ϱ 𝐹
∗
𝑘
· ∆𝐹𝑘+1 = 𝐶𝐼 𝑘 + 𝐹𝐼 𝑘 + 𝑃𝐼 𝑘 − 𝑇𝐸𝐸 𝑘
7. My Fitness Pal Metabolic Health Monitor app
Tracks macronutrient calorie intake
(carbohydrate, fat, protein)
6 million food items
Daily entries needed (5-20 min a day)
Calculates the arhythmical sum of ingested calories,
does not deal with missing data
Tracks macronutrient calorie intake
(carbohydrate, fat, protein)
www.ars.usda.gov
Biweekly one-day calorie counting only
Estimates past utilized macronutrient intakes
Predicts future utilized macronutrient intakes
Tracks Physical Activity
Continuous measurement is needed
Tracks Physical Activity
Continuous measurement is needed
Tracks Weight
Frequent measurements encouraged
Tracks Weight
Biweekly body composition measurement
Estimates past and predicts future changes of
Fat mass
Lean mass
Protein mass
Calculates the arhythmical sum of ingested calories
minus calorie expenditure
Estimation and Prediction of the daily
Total Energy Calorie Balance
Fat balance
Carbohydrate balance
Protein balance
8. Additional functioning in MHM
but non-existing in My Fitness Pal
Macronutrient Oxidation
• Estimates past and predicts future changes of
• Fat oxidation
• Carbohydrate oxidation
• Protein oxidation
Utilized macronutrient energy intake
• Estimates past and predicts future changes of
• Utilized fat energy
• Utilized carbohydrate energy
• Utilized protein energy
Relative measurement of insulin resistance
• R = Lean mass change/ Fat mass change
9. Advantages of the current modeling of the
metabolism
• individualized model through self-adjusting mathematical features
• calibration possible
• inverse calculation from body composition change to model input
• intra- and interindividual comparison
• metric for value based purchasing
• metric for medical research of insulin resistance
• metric for clinical use and services
• metric for behavior model development
• allows for sharing metrics
• provides confidence intervals for the metabolic calculations
• choosing the best working diet and exercise regime for the user
10. Proof of Feasibility Through Simulation Studies
• Minnesota starvation and overfeeding experiment [26]:
–SAM-HEM: the average daily prediction errors of
• fat mass change estimates: 0.44±1.16 g/day
• fat free mass: -2.6±64.98 g/day
–SIO-HEM/RIO/HEM: the average daily prediction errors of
• fat mass change estimates: 3.72±6.63 g/day
• fat free mass: -86.54±383.3 g/day
11. Proof of Feasibility through Simulation Studies
• Effects of brief perturbations in energy balance on indices of
glucose homeostasis in healthy lean men [23]:
– The calculated correlation coefficient between HOMA-IR and R ratio
change estimation ∆ 𝑅7 𝑑𝑎𝑦 across all experimental phases was
-0.78898 with a P value of 5.41105∙10−10.
• Dietary Weight Loss and Exercise Effects on Insulin Resistance in
Postmenopausal Women [29]:
– The calculated correlation coefficient between HOMA-IR and R ratio
change estimation ∆ 𝑅1 𝑦𝑒𝑎𝑟 across all experimental phases was
-0.8383 with a P value of 0.0093.
12. The psychological processes of self-directed weight management and the
loops of information flow, emphasizing control by feedback
13. Motivation improvement by MHM
• MHM helps to dole out the individual's metabolic health goal
into small achievable daily sub-goals and allows for a minimal
contact approach (weekly text messages)
• Repeated positive experiences from achieving the small sub-
goals successfully with no frustration will motivate the user
14. Conclusion
• MHM offers tools for objective observation of the actual state and trends and
trajectories of an individual’s metabolic processes. The loop of feedback of
information gained by the proposed MHM app allows for non-judgmental
observation and self-organization of the complex biological system of the human
energy metabolism.
• The MHM supported framework for improving fat mass and insulin resistance
through improved diet and exercise appears to be quite applicable in the
resource limited setting that exists in rural America. Our proposal would facilitate
to gain control and self-manage weigh and insulin resistance.
• We offer the MHM app for free for volunteers in rural America for self-treatment
and for result data gathering to help forge a battle against obesity and insulin
resistance in rural America.
15. OPEN INVITATION FOR COLLABORATION ON
FURTHER DEVELOPMENTS
• for clinical use to treat obesity, pre-diabetes and insulin resistance using
coaching and the minimal contact approach
• For academia to study insulin resistance related research and nutrition
• for dynamic behavioral model development regarding lifestyle change
• for insurance companies to create “Value Based Incentive Programs”
• government policy making regarding prevention of obesity, pre-diabetes,
diabetes and education
• future product development
– For measurement of body composition, intra and extracellular water mass
– Camera tools for food recognition and analysis
– Body scan for body volume measurements
– Home portable RMR measurement
– Well calibrated PAE measurement
16. Metabolic Health Monitor App and Web site
development
• www.FinelyFit.com
• Joint product development with TC2 Labs