Most cases of disability and early death have their root cause in a poor diet. This is a global phenomenon. This means that improving diet can prevent most premature deaths.
According to recent research, Covid-19 patients who have dietary problems experience poorer outcomes.
A balanced diet does more than just help keep diabetes, cancer, and heart disease at bay, it also helps you fight off Covid-19.
Diet therapy helps people to prevent disease, as well as manage and treat illnesses. This includes acute and chronic diseases.
MNT (Medical Nutrition Therapy)
Treatment with Nutrition and Diet
Medical Nutrition Therapy means treating injuries, illnesses, and health conditions with diet and nutrition. MNT is an effective treatment for a range of conditions; from depression to HIV and kidney disease.
Even though researchers have proved that MTN works to treat chronic illnesses, MNT services are not widely accessible. Many patients cannot access it; either because it is too expensive or simply not available for them.
One study that focused on nutrition support for diabetes type 2 patients under Medicare found that not more than 4% benefited from MNT in the first year of their diagnosis.
Applying Digital Health Technology in the Service of MNT
Digital Health Technology has the potential to make MNT accessible to more people than ever before. Besides expanding availability, Digital Health Technology can provide the service in a more precise and individualized way.
We can now use both active and passive data collection to track, monitor, and analyze personal health by, for example, monitoring heart rates with smartwatches or logging in a 5-mile walk using a mobile app.
At least a fifth of America uses either a health app or a smart device to monitor their health. Users can choose from more than 300,000 apps on the market for health tracking.
The latest technologies like big data and machine learning can analyze data in real-time and present an opportunity to transform nutrition management.
With individual data such as meal patterns and symptoms, medics can apply machine learning and big data analysis to come up with evidence-based Medical Nutrition Therapy recommendations fast.
This will enable us to gain a deeper understanding of how diet influences improved disease treatment, management, and prevention.
Using mobile phones to make the technology accessible to more patients will allow them to benefit from MNT and access continual medical support wherever they are.
These technologies are compatible with machine learning and big data. They can make Medical Nutrition Therapy better and more accessible than ever.
Mobile phones can help patients take charge of their care, to access 24/7 medical support no matter where they are.
A single digital health service can integrate all these tools and services to make MNT more accessible financially by allowing them to access the therapy without having to pay for an in-person consultation.
Over time, the technology can minimize the ravages of disease, save lives, and reduce health services expenditure to the tune of billions of dollars.
Individualized MNT Advice
By building a single platform that continuously analyzes data across different locations and demographics, we can understand the role of diet in causing disease and altering the impact of the disease on the human body.
Vulnerable population groups like older people and the chronically ill also stand to benefit from such a platform.
With greater resources dedicated to data analysis, it will be possible to identify risk factors for chronic illnesses a lot earlier and to prescribe dietary interventions early enough to prevent and sometimes even reverse diseases.
Because people’s nutritional needs and preferences evolve with time, people need a platform that can grow and adapt to their changing needs over time, too. AI and machine learning will enable the platform to gradually develop a better understanding of user’s nutritional needs.
This kind of platform will use algorithms to spot and track patterns that reflect individual traits in behavior, biology, as well as physiology. These insights will help the tools to decide on the best diet for individual users, designed for their conditions, genetics, and even lifestyle.
Machine learning, as well as analysis of big data, can help users to understand the diet needs of individuals and to make more precise dietary prescriptions.
The technology can make clinical care better by recognizing the way drugs, nutrition, and disease interact and coming up with more precise MNT prescriptions.
We are on the cusp of a new technological era of more personalized nutritional services than ever.
Is the New Appetite-Controlling Drug the Answer to Obesity?
Weekly semaglutide injections have helped patients lose more than 15kgs. Might this be a magic bullet in the fight against obesity?
We need efficient ways to treat and prevent obesity, even as we fight COVID-19. 29% of women and 26% of men in the UK, according to NHS in data published in 2020 May, were presumed to be obese. These individuals had a body mass index higher than 30.
The situation has now gotten worse thanks to a widespread lockdown-related gain in weight. Obese patients are not only likely to die due to COVID-19; but even worse, University of Glasgow researchers’ recent estimates suggest that obesity might have overtaken smoking as a cause of ill health in Scotland and England.
A healthy balanced diet and suitable physical exercise could prevent weight gain. But this is not considered an effective treatment against obesity. Consuming a very low-calorie diet of not more than 1,000 kcal a day might result in losing about 10 to 15kgs within 12 weeks.
A more modest, cautious calorie restriction prescribed by several commercial slimming plans could cause an average annual weight loss of about 7kgs. However any weight lost through these methods can be regained. And you need another approach to keep the wright off.
To date, various drugs formulated to treat obesity are either inefficient in clinical practice or have harmful side effects like anal leakage or higher blood pressure. Bariatric surgery is the only reliable treatment for critical obesity at the moment, but long-term side effects and risks accompany it.
A series of peptide hormones regulate energy expenditure and appetite. These hormones are released in the intestine. Bariatric surgery works because it changes the gut response to food intake and how it communicates with the brain.
Specifically, glucagon-like peptide (GLP-1) is produced in the ileum in the last section of small intestines. GLP-1 responds to foods containing carbohydrates. Insulin synthesis is thereby promoted and secretion by the pancreas, but it affects the stomach by reducing the digestive system movements and secretion of acid.
The UK researchers published their findings on semaglutide in the New England Journal of Medicine led by John Wilding, in February. They found that a drug mimicking GLP-1 that was initially intended for diabetes treatment caused considerable weight loss in type 2 diabetes patients.
The researchers worked with 1,962 patients, of whom 75% were female. Of these, 13% were Asian, 6% black, and 75% white. Their average body mass index was 38. Patients were randomly divided into 2 equal groups. One group received semaglutide weekly injections, while the control group received placebo injections for 68 weeks. Both groups got lifestyle advice and diet.
The semaglutide group lost an average of 15.3kgs in contrast to 2.6 from the control group. The treatment effect difference in the two groups was 12.7kgs weight loss.
The treatment as successfully reduced blood pressure by 5.1mmHg, and the patients reported better physical functioning. The treatment’s major side effects included nausea, diarrhea, and occasional vomiting. And to those on active treatment, there were more frequent gastrointestinal disorders. Of more concern may be the accelerated danger of pancreatitis and gallbladder disease.
As these high-quality trials show, semaglutide causes remarkable weight loss compared to other drugs tested so far. What happens after the treatment ends is uncertain. Preventing the weight from piling back on is a great challenge, and the lesson learned from bariatric surgery is that patients should avoid sugar-sweetened beverages and unhealthy snacking. Smaller portions of calorie-dense foods help.
The research findings need to be confirmed with a more ethnically diverse population with a higher proportion of males. From a practical standpoint, the drug injection’s weekly requirement is more likely to curb a more significant rollout of the treatment. Oral preparations of the drug are still under trials.
While semaglutide appears promising as an obesity treatment, it is not exactly a magic bullet. We should continue to promote a healthy lifestyle as well as discourage unhealthy eating habits that lead to obesity.
You might Want to Choose between your Pacemaker and your iPhone
Apple has some heart wrenching information for you. And we do mean that in the literal sense. You might have read a lot of dubious reports about the power of cellphones to cause brain cancer. This is the real deal.
Apple says that their offering Apple 12 may harm your heart.
In a warning released on January 23rd, Apple says that iPhone magnets may have an effect on medical devices including defibrillators and pacemakers.
1.3 million Americans are using pacemakers now, and more and more start using them each year.
Defibrillators are in widespread use too, though precise statistics are a little harder to find.
According to Apple’s warnings, certain items within iPhones such as radios, magnets, and what they call ‘components.’ These items emit electromagnetic energy and this could alter the functioning of these lifesaving medical devices.
“These magnets and electromagnetic fields might interfere with medical devices,” reads the advisory.
The report hints at the culprit by mentioning that ‘iPhone 12 models contain more magnets than prior iPhone models.’
Apple explains that sensors within medical devices like pacemakers and defibrillators may react when they are close to radios and magnets.
iPhone users are advised to keep their iPhone accessories away from their implanted medical devices – at least 6-12 inches.
Shirt pockets, coat breast pockets, and even pants pockets are now clearly unsafe places to keep an iPhone 12. This warning means that people who have implanted medical devices may find it dangerous to walk around with an iPhone 12. How do you walk with a phone while keeping it as far away from you as possible?
According to an article published in January 2021’s edition of the Heart Rhythm Journal says that external magnets may cause defibrillators to suspend ‘high voltage shock therapy for ventricular tachycardia and ventricular fibrillation.’
An experiment found that as long as the iPhone 12 remained over the patient’s left chest area and close to the defibrillator, ICD therapies stopped. The same thing happened when the iPhone 12 was moved to other parts of the chest.
This means that iPhone 12 has the power to harm patients by halting vital and life-prolonging therapy.
Upper pockets were found to be the worst places to keep an iPhone 12 for patients who have installed pacemakers and defibrillators.
According to the journal, even fitness tracker wristbands have been found to interfere with defibrillators as far as 2.4cm or 1 inch away.
While we do appreciate the warning, we feel it would be a lot more helpful for Apple to provide a solution. Like a different version of the phone, or maybe a protective casing around the phone that blocks magnetic signals.
How Digital Health promises better Medical Nutrition Therapy
Poor diet is responsible for more premature deaths and more disabilities worldwide than any other thing. The latest research shows that even Covid-19 deaths are more prevalent among people who suffer from diet-related disorders.
People who stick to a healthy, balanced diet are overwhelmingly less likely to suffer diabetes, cancer, and heart disease. A healthy diet also helps you fight against Covid-19.
Diet therapy is both a preventative and palliative measure because it helps in managing and treating chronic diseases. Medics use nutrition therapy to help manage illnesses.
MNT (Medical Nutrition Therapy)
Medical nutrition therapy involves using diet and nutrition to alleviate illnesses and injuries or any health conditions.
MNT also works for a variety of medical conditions from depression, to kidney disease and depression.
In spite of the evidence supporting MNT as a means of chronic illness management, it is still not in widespread use. The cost of MNT as well as its availability and coverage means that not many patients can access it.
One study found that only 4% of people who had type 2 diabetes and were on Medicare benefited from MNT services within 12 months of their diagnoses.
Digital Health Technology can Advance MNT
Digital Health Technology has the amazing power to make MNT more accessible as well as more precise and individualized than it has ever been.
We can now use different data collection methods to track, record, as well as analyze our health over time. This data is collected whenever we record a run on a mobile application, or monitor our heart rate with a smart watch.
More than a fifth of Americans use wearable devices or health apps to track their own health. We have more than 300,000 apps for health tracking. This shows just how much demand there is for the apps.
New technologies like machine learning and using synchronous platforms for big data analyses to digest data in real time offer the wonderful opportunity to manage nutrition in new ways.
Machine learning and big data analysis can be leveraged to analyze phenomena like meal patterns and the severity of symptoms to validate Medical Nutrition Therapy recommendations for patients.
We can now gain a better understanding of the role diet plays in preventing disease as well as treating and managing them to constantly modify Medical Nutrition Therapy recommendations to the fit the individual needs of patients.
We can take Medical Nutrition Therapy to new heights by leveraging Machine learning together with big data analysis.
This technology when integrated with mobile devices enables patients to participate in their own medical care by feeding their nutrition information wherever they are.
To maximize the accessibility of Medical Nutrition Therapy, the technology can be integrated on one digital health platform to help people access the service without having to pay for in-person MNT.
This technology can ease the financial burden on patients in the long term as well as save many lives and reduce public expenditure on health by tens of billions.
Individualized MNT Recommendations
To come up with a platform for continuous data analysis across socio economic groups and geographic areas may lead to a better understanding of how diet affects disease especially among vulnerable people like the acutely ill and the elderly.
With more focus on data analysis, we can spot factors of chronic disease earlier and prescribe diet interventions early enough to prevent or even reverse diseases.
Ever changing preferences and dietary needs mean that such platforms must adapt to the growth of an individual, helping to increase our understanding of the individual’s dietary needs in the course of a lifetime.
Platforms like the one mentioned leverage algorithms to spot patterns that reflect individual differences in physiology, behavior, and biology and apply the insights to arrive at the optimum diet for that individual based on their lifestyle, health condition, and genetics.
Machine learning and big data analysis are excellent tools for expanding our grasp of the individual nutritional needs as well as their dietary response, and for allowing medics to make more precise MNT Prescriptions.
The technology is capable of raising the standards of clinical care by making it possible to easily recognize the connections between drugs, nutrition, and disease in order to make better assessments of malnutrition and come up with the best criteria for starting medical nutrition.
It looks like the next frontier of technology will bring with it more precise personalized nutrition.
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