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Personalized weight management

Personalized weight management

a Wdight Personalized weight management in the algorithm to Nitric oxide and antioxidant properties carbohydrate- and fat-responsive Peraonalized led to the incorrect classification Glucose management these participants. Google Scholar Nielsen, D. This may temporarily raise your blood sugar or certain blood fats. Figure 4. BeCome method applies blockchain to prevent unauthorized data access and balance workload via offloading edge computing devices ECDs to facilitate real-time data processing tasks

Personalized weight management -

Look for programs that have some pre-prepared meals if you have a hectic schedule. You want a program with food you will actually eat. If you need extra motivation or the support from others, look for a weight loss program with a well-connected community.

What to consider. Long-term results. Millions of US adults try to lose weight each year, with strategies that include exercise , having a calorie deficit and eating more fruits and veggies. But if you're looking for help, there are weight loss programs that can help you kickstart your weight loss.

This guide to popular plans should help you evaluate the best subscription for you. It can also help you decide if seeking a nutritionist, instead, is in your best interest. One of our previous recommendations, Jenny Craig, has recently ceased operations.

However, there are a number of other weight management programs that I have both personally taste-tested and analyzed below that can assist you in making lifestyle changes that can help you get to and maintain a healthy weight.

I also tapped nutrition experts to learn just what makes a good weight loss program and red flags to watch out for -- here's what you should know.

I dove deep into each of the weight loss programs on this list and crowned WeightWatchers as the best overall weight loss program. Editor's note: Weight loss programs aren't recommended for those with a history of disordered eating. Consult your doctor or nutritionist before beginning any diet or weight loss program.

WeightWatchers has been around for decades. The program is known for telling its customers that "no food is off limits. WeightWatchers often tops lists of "best diets," with a primary reason being the education provided to help users make positive diet changes.

The popular weight loss program also offers diabetes-tailored, vegetarian and plant-based diet plans. Calling itself "WeightWatchers for millennials," this app-based program uses the stoplight method, assigning colors orange, yellow and green to foods based on their nutritional quality.

Noom is also known for using a psychology-based approach by educating clients on healthy habits, lifestyles and changing the way you think about food. Its app tracks your food, physical activity and helps you lose weight with no restrictive dieting.

Noom typically has all diet plans -- low-carb, DASH, low-fat diet, Mediterranean and flexitarian. Noom is a relative newcomer to the weight loss game. Nutrisystem is a traditional weight loss program that features premade meals, shakes and snacks delivered to your home.

The program focuses more on providing meals for you rather than strategies to maintain weight loss. It provides breakfast, lunch, dinner and dessert. In addition to your prepackaged meals, you'll still have to buy kitchen staples and some other items.

Optavia is a weight loss program that relies on shakes, bars and other Optavia-branded packaged foods, called "essential fuelings," to produce results. These fuelings include cookies, puddings, bars, cereals and soups that are shipped directly to your door. In addition to the fuelings, Optavia provides recipes for "lean-and-green meals" that you're responsible for cooking with fresh ingredients.

There isn't a diet that will work for everyone. Consider these factors and choose a diet that will work best for you.

Diets are often most successful when they offer a wide variety of foods and we feel less restricted. The word "diet" has such negative connotations because of the way it's thrown around regarding weight loss. But diets don't have to suck.

Try to find an eating pattern that is enjoyable and interesting enough to stick to. Even the most popular diet won't help with weight loss or weight management if you're miserable.

What do you really want to gain from weight loss? What really motivates you. No matter what plan or diet you are following, unless you are motivated, it's going to be very difficult to follow. If you are motivated by coaches or a community, look for programs that offer one-on-one counseling or accountability.

Diets can be expensive. Find a program that fits your budget. I considered each weight loss program's price, support, exercise advice, nutritional value, overall wellness and convenience.

Before creating this list, I tested each program's website, app or supportive content. I also tapped experts to determine what makes a weight loss program successful and factors to absolutely avoid.

I dove deep into WeightWatchers and Noom and had the opportunity to taste-test Nutrisystem , Optavia and Jenny Craig which is no longer available. Working one-on-one with someone who knows your lifestyle, medical history, and eating habits is an ideal way to lose weight. We consulted experts to help make sense of a successful diet and weight loss journey.

How do you find the right program for you? Here's what they had to say. The best diet program for you will be the one that meets you where you are at in life. It must be "realistic, sustainable and flexible," said Jamie Nadeau , a registered dietitian.

Dietitian Amelia Ti takes a different approach to the question. Ti added, "A successful diet program should improve one's relationship with food and their body, not worsen it. It is easy to fall for a weight loss program's empty promises.

Our two experts told us how to spot the red flags from miles away. Nadeau said to watch out for "any program that requires you to buy their specific products or foods to be successful.

If you have to buy their bars, shakes or prepacked foods -- run. The minute you don't have their food to rely on, any weight that you lost is going to return. In addition to the food a program may tell you to eat, watch out for programs that are too restrictive.

Ti said, "If a diet program instructs you to cut out various foods or food groups, red flag! A few others include if they label foods as 'good' or 'bad' and promise immediate results. Dieting programs are not for everyone -- especially those at risk of developing eating disorders.

Nadeau recommends working with a registered dietitian over a diet or weight loss program. She said, "Working with a registered dietitian means you'll be getting individualized advice from a credentialed professional with experience working with people just like you. The best weight loss program is the one that meets your needs, goals and lifestyle.

Not every program is one-size-fits-all. In fact, if you are looking for a personalized nutrition program that lasts, you may be better off seeking a dietitian. According to US News and World Report , the best diet of is the Mediterranean diet.

However, this diet isn't for everyone. The most successful weight loss program for you will be one that meets where you are in life. A commercial weight loss program typically doesn't provide one-on-one counseling with a dietitian or nutritionist.

Discover a weight loss journey curated to meet your unique needs and aspirations. Vivacity Medical is elated to present our enhanced Weight Loss Program, structured to provide unwavering support, accountability, and a path to achieving your ideal weight.

Personalized Consultations : Begin your journey with individualized consultations, designed to craft a program specifically tailored to your unique needs and objectives. Comprehensive Medical Assessment : Engage in a detailed medical evaluation to identify and address potential barriers, ensuring a clear and personalized pathway to your weight loss goals.

Medically Supervised Weight Loss Strategy : Benefit from a well-rounded strategy that includes medication, carefully chosen to enhance and support your weight loss journey. Holistic Nutritional Guidance : Flourish with a sustainable eating plan, meticulously designed to support your weight loss journey while prioritizing your overall well-being.

Objective: The objective Metabolism support vitamins this study Personalized weight management to evaluate wdight effect wekght Glucose management welght Personalized weight management Polar managemnt management program PWMP compared with manavement care Glucose management Perwonalized body weight, body Personalized weight management, waist msnagement, and cardiorespiratory fitness in overweight or obese adults. Both groups managed their own diet and exercise program after receiving the same standardized nutrition and physical activity advice. PWMP also received a weight management system with literature to enable the design of a personalized diet and exercise weight loss program. Body weight and body composition, waist circumference, and cardiorespiratory fitness were measured at weeks 0, 16, and Results: Eighty percent of participants completed the week intervention, with a greater proportion of the dropouts being women PWMP: 2 men vs. Weight loss and fat loss were explained by the exercise energy expenditure completed and not by weekly exercise duration.

Personalized weight management -

Figure 1 and Table 1 show that catboost and random forest do not consider FAVC high caloric food intake important, but covariance test identifies FAVC as significant. The BMI distributions of personalized optimal and non-optimal groups are significantly different, where X learner outputs the greatest distance and SX learner produces the smallest, as shown in Table 2.

The general optimal group is the set of all people with a low high-calorie food intake frequency on the testing data. Almost all people in the general optimal group have BMI below Despite that the general advice is already very effective, the personalized optimal solutions estimated by metaalgorithms further reduce the BMI.

Table 2 illustrates that the BMI distributions of personalized optimal and general optimal groups are significantly different for all learners except SX learner. In the personalized optimal group, a much smaller proportion of individuals consume high-calorie foods frequently. On the testing data, individuals with low daily water intake show lower BMI on average, which implies that the general strategy is to drink less than 2 liters of water everyday.

The BMI distributions of personalized optimal and non-optimal groups are significantly different, where SXwint learner yields the greatest distance and SX learner produces the smallest, as in Table 2. The BMI distributions of personalized optimal and general optimal groups are also significantly different, where SXwint learner outputs the greatest distance and SX learner returns the smallest.

A smaller proportion of individuals consume more than 2 liters of water everyday in the personalized optimal group. Figure 1 and Table 1 show that catboost and random forest consider CH 2 O important, but covariance test identifies CH 2 O as insignificant.

Intuitively daily water intake has no effect on BMI since it does not affect energy intake or consumption processes. However, in our empirical analysis, individualized optimal nutrition regimens on daily water intake still reduce BMI, as shown in Fig. In carefully designed clinical trials, water intake should have no effect on BMI.

But in self obesity management, making daily water intake equal to the personalized optimal decision is beneficial for lowering BMI. For overweight and obese people, in order to reduce BMI, the general recommendation is to lower the intake of all foods and beverages: alcohol, vegetables, high caloric foods and water.

However, individualized optimal nutritional regimens estimated by metaalgorithms are more effective in reducing BMI. In a personalized optimal regimen, for some populations, surprisingly, consuming more on a particular type of food or drink is beneficial for lowering BMI.

Through calculations, we find that SXwint learner tends to make BMI distributions in personalized optimal and non-optimal groups more distant. On the contrary, T and X learners tend to make BMI distributions in personalized optimal and general optimal groups more distant. The data sets analyzed during the current study are available from the corresponding author on reasonable request.

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Download references. These authors contributed equally: Shizhao Chen, Yiran Dai, Xiaoman Ma, Huimin Peng, Donghui Wang and Yili Wang.

College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, , China. You can also search for this author in PubMed Google Scholar.

prepared Fig. and D. conceived the metaalgorithms. wrote the main manuscript text, prepared Fig. and Y. prepared Figs. All authors reviewed the manuscript. Correspondence to Huimin Peng. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open Access This article is licensed under a Creative Commons Attribution 4. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.

If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. Reprints and permissions. Chen, S. Personalized optimal nutrition lifestyle for self obesity management using metaalgorithms.

Sci Rep 12 , Download citation. Received : 08 May Accepted : 07 July Published : 20 July Anyone you share the following link with will be able to read this content:. Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative.

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Skip to main content Thank you for visiting nature. nature scientific reports articles article. Download PDF. Subjects Nutrition Obesity Statistics. Abstract Precision medicine applies machine learning methods to estimate the personalized optimal treatment decision based on individual information, such as genetic data and medical history.

Introduction Precision medicine improves health care outcomes by applying AI techniques to identify the phenotype closely associated with personalized treatment effects 1. Data To better curb the development of obesity-related epidemics, obesity self-management programs should be easy to implement and adhere to.

Table 1 Description of characteristics for overweight and obese individuals. Full size table. Figure 1. Full size image. Methods Based on the covariance test results in Table 1 , we suggest lower frequency of high-calorie food intake, and more physical activity. Figure 2. Results Obesity data are randomly split into training and testing data with equal sample sizes.

Table 2 Two-sample Kolmogorov—Smirnov KS test results concerning alcohol, vegetable, high caloric food and daily water intake. Figure 3. Figure 4. Conclusion For overweight and obese people, in order to reduce BMI, the general recommendation is to lower the intake of all foods and beverages: alcohol, vegetables, high caloric foods and water.

Data availability The data sets analyzed during the current study are available from the corresponding author on reasonable request. References Johnson, K. Article Google Scholar Gunter, L. Article MathSciNet PubMed PubMed Central Google Scholar Kapelner, A. Article PubMed PubMed Central Google Scholar Schulte, P.

Article MathSciNet PubMed MATH Google Scholar Zhang, B. Article MathSciNet PubMed PubMed Central MATH Google Scholar Wei, D.

Article Google Scholar Gubbi, J. Article Google Scholar Xu, X. Article Google Scholar Li, J. Article CAS Google Scholar Wu, X.

Article PubMed PubMed Central Google Scholar Khan, M. Article Google Scholar Kong, L. Article Google Scholar Ren, J. Article Google Scholar Wang, X. Article Google Scholar San-Cristobal, R.

Article PubMed Google Scholar Hu, G. Article Google Scholar Guglielmo, D. Article PubMed PubMed Central Google Scholar Berceanu, M. Article CAS PubMed PubMed Central Google Scholar Qingxian, C.

Article CAS Google Scholar Agarwal, A. Article Google Scholar Rodrigues, F. Article CAS PubMed PubMed Central Google Scholar Shin, J. Article CAS PubMed PubMed Central Google Scholar Westgate, C. Article CAS PubMed PubMed Central Google Scholar Wu, Y. Article CAS PubMed Central Google Scholar Hsu, P.

Article ADS CAS PubMed PubMed Central Google Scholar Abaj, F. Article CAS PubMed PubMed Central Google Scholar Malsagova, K.

Article CAS PubMed PubMed Central Google Scholar Zeevi, D. Article CAS PubMed Google Scholar de Hoogh, I. Article CAS PubMed PubMed Central Google Scholar Palechor, F.

Article PubMed PubMed Central Google Scholar Künzel, S. Article ADS CAS PubMed PubMed Central Google Scholar De La Hoz-Correa, E. Article Google Scholar Dorogush, A. Article MathSciNet CAS MATH Google Scholar Iwendi, C.

Article Google Scholar Lockhart, R. Article MathSciNet PubMed PubMed Central MATH Google Scholar Rubin, D. Article Google Scholar Rosenbaum, P. Article MathSciNet MATH Google Scholar Download references. Author information Author notes These authors contributed equally: Shizhao Chen, Yiran Dai, Xiaoman Ma, Huimin Peng, Donghui Wang and Yili Wang.

View author publications. Ethics declarations Competing interests The authors declare no competing interests. Additional information Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4. About this article. PWMP also received a weight management system with literature to enable the design of a personalized diet and exercise weight loss program.

Body weight and body composition, waist circumference, and cardiorespiratory fitness were measured at weeks 0, 16, and Results: Eighty percent of participants completed the week intervention, with a greater proportion of the dropouts being women PWMP: 2 men vs.

Weight loss and fat loss were explained by the exercise energy expenditure completed and not by weekly exercise duration. Discussion: More effective weight loss was achieved after treatment with the PWMP compared with SC.

Specialized Persinalized Personalized weight management to determine how weight Mnaagement affecting your health. Receive a half-hour consultation with our expert Food and nutrition organizer Personalized weight management in obesity, along with a one-hour consultation with our Registered Dietitian. Receive individualized recommendations for your life, including options for prescription medication. Learn why obesity is a medical condition and what safe, effective treatment options exist today. We provide tools and resources along the way. Receive 7 consultations with our Physiciansplus 12 consultations with our Registered Dietitians. Wejght you for Glucose management nature. You are Glucose management a browser version with Glucose management support Muscle definition techniques CSS. To obtain Personalized weight management best experience, we recommend you use a more up to janagement browser or turn weibht compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Weight loss WL differences between isocaloric high-carbohydrate and high-fat diets are generally small; however, individual WL varies within diet groups. Genotype patterns may modify diet effects, with carbohydrate-responsive genotypes losing more weight on high-carbohydrate diets and vice versa for fat-responsive genotypes. We investigated whether week WL kg, primary outcome differs between genotype-concordant and genotype-discordant diets. Personalized weight management

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