Weight Loss Plan Research Articles

Reviewing the recurrence rates in stage I-III HR or ER positive breast cancer in obese patients given multi-modal weight loss plan post-treatment with aromatase inhibitors.

15 Background: Aromatase inhibitors (AIs) in the treatment of endocrine recepter positive breast cancer stages I-III, poses significant challenges in the management of obesity. Obesity is not only associated with an increased risk of breast cancer incidence but also with higher rates of cancer recurrence and poorer treatment outcomes. Moreover, the use of AIs, while effective in reducing estrogen levels and preventing ER or HR positive breast cancer recurrence, may exacerbate weight gain and metabolic disturbances in obese individuals. Weight management strategies have experienced increased attention in breast cancer survivors in recent years, especially overweight or obese individuals. Novel data makes it possible to infer that obesity management activities and multimodal programs that incorporate dietary counseling and physical activity can reduce recurrence rates. Methods: Participants in this study were individuals with Stage I-III endocrine receptor positive breast cancer who had completed adjuvant therapy and had a BMI in the 40s or 50s, increasing risk of recurrence. Eligible patients were identified based on the start date for endocrine therapy. High-risk patients were then assigned to either the intervention or control group. Those in the intervention group received access to a dietician, along with informational pamphlets on physiology and weight loss strategies. Additionally, they were offered discounts to certain gyms or provided free access to fitness facilities. Both intervention and control groups were briefed about the study, with those in the intervention group encouraged to utilize the provided resources for weight management. Results: The evidence from our study will underscore the potential benefits of multimodal weight loss interventions in overweight or obese breast cancer survivors, particularly in improving anthropometric outcomes and enhancing overall quality of life. Conclusions: While the studies included in our analysis demonstrated reductions in body weight, BMI, and waist circumference, as well as improvements in quality of life measures, there remains a notable gap in understanding the impact of these interventions on breast cancer recurrence rates, especially in the context of endocrine-positive breast cancer treated with Aromatase Inhibitors (AIs).

The Effect of a Vegan Diet on the Health Indicators and Outcomes of P atients with Type 2 Diabetes Mellitus.

Recently, there has been a notable increase in interest in various forms of vegetarianism, which may be due to the growing prevalence of health issues, such as Type 2 Diabetes Mellitus (T2DM). Adhering to a vegan diet may have positive health outcomes. As a result, we conducted a review article to gather data from previous research studies on the effects of a vegan diet on different aspects of managing patients with T2DM. We searched the PubMed website for research studies on how a vegan diet affects the outcomes of patients with T2DM. The research studies were categorized according to the type of data collected, such as prevalence, incidence, body weight, insulin resistance, glycemic control, and lipid profile. It was found that following a vegetarian diet can significantly reduce the risk of mortality from heart disease. Additionally, studies have demonstrated that a vegetarian diet is linked to several improvements in T2DM. However, long-term weight loss plans and managing T2DM is a comprehensive intervention that includes caloric restriction, exercise, and behavioral modification. Incorporating a vegan diet can be a valuable factor to consider in managing T2DM, as it can offer numerous benefits, such as increased insulin sensitivity, weight loss, and reduced blood sugar levels. It helps to reduce cholesterol levels, LDL, and triglyceride levels, which are all risk factors associated with T2DM. By reducing these risk factors, the vegan diet can improve the overall health of T2DM patients. </p>.

Glucagon-like Peptide-1 Agonists: What the Orthopaedic Surgeon Needs to Know.

» Orthopaedic surgeons are increasingly likely to encounter patients with obesity and/or type 2 diabetes taking glucagon-like peptide-1 (GLP-1) agonists for weight loss.» GLP-1 agonists are an effective treatment for weight loss with semaglutide and tirzepatide being the most effective agents. Randomized controlled trials using these agents have reported weight loss up to 21 kg (46 lb).» The use of GLP-1 agonists preoperatively can improve glycemic control, which can potentially reduce the risk of postoperative complications. However, multiple cases of intraoperative aspiration/regurgitation have been reported, potentially related to the effect of GLP-1 agonists on gastric emptying.» While efficacious, GLP-1 agonists may not produce sufficient weight loss to achieve body mass index cutoffs for total joint arthroplasty depending on individual patient factors, including starting bodyweight. Multifactorial approaches to weight loss with focus on lifestyle modification in addition to GLP-1 agonists should be considered in such patients.» Although GLP-1 agonists are efficacious agents for weight loss, they may not be accessible or affordable for all patients. Each patient's unique circumstances should be considered when creating an ideal weight loss plan during optimization efforts.

Tình trạng dinh dưỡng ở người bệnh đái tháo đường type 2 tại bệnh viện Nội tiết Trung Ương, năm 2022

Objective: To describe the nutritional status of patients with type 2 diabetes at the National Hospital of Endocrinology in 2022. Methods: Cross-sectional study, interviews by direct questionnaire on 203 patients with type 2 diabetes at the National Hospital of Endocrinology from 10 to 12/2022. 203 patients were female, accounting for 54.2%, the mean age was 62.1(±12.4). The percentage of high waist circumference according to BMI group (CED, normal, overweight, obese) was 0%, 45.3%, 65.9% and 92.9%, respectively. The ratio of waist circumference/height according to BMI group (CED, normal, overweight, obese) was 38.5%, 85.3%, 90.2% and 94.7%, respectively. The ratio of waist circumference/height according to BMI group (CED, normal, overweight, obese) this difference is statistically significant with p&lt;0.05. Therefore, it is necessary to adjust the diet, to have a reasonable weight loss plan for hunger, physical activity, physical education and counseling to maintain the indicators in the normal range. Overweight/obesity is common among study subjects, overweight/obesity rate is higher in women than in men.

MACHINE LEARNING APPROACHES FOR CALORIE BURN ANALYSIS AND PREDICTION

Aim: It is widely acknowledged that running is the most effective activity for burning maximum calories per hour. Additionally, fixed bicycling, swimming, and HIIT (High-Intensity Interval Training) exercises are also excellent choices for calorie burning. HIIT exercises, in particular, have been shown to continue calorie burning for up to 24 hours after the workout. However, accurately predicting the number of calories burned during a specific exercise remains a challenge due to variations in individual physiology and fitness levels. To address this challenge, we utilized an exercise dataset obtained from the UCI Machine Learning repository to forecast the calories burned during different exercises. Methodology: Many individuals are curious about the calories burned during their workouts and the effectiveness of their weight loss plans. To tackle this issue, we employed machine learning algorithms such as XGBoost regressor and Linear Regression. Results: The results demonstrate that XGBoost regressor and Linear Regression outperform other approaches in predicting calorie expenditure during exercise. KEYWORDS— Machine learning, precision, accuracy, classification, XGBoost regressor, Linear Regression.

DAHNA-An integrated innovative mobile application for the screening and personalised management of the atherosclerotic cardiovascular disease risk

Abstract Background DAHNA (Diet According to the Healthy Heart Nutritional Approach) is an integrated and innovative mobile app that allows for: 1. Screening of atherosclerotic cardiovascular disease (ASCVD) risk; 2. A personalized healthy diet (macro- and micronutrients) based on cardiometabolic screening; 3. Long-term management of major risk factors; 4. Highly incentivizing rewards within the app. Objective To present the functionalities, mode of operation, and initial results of DAHNA through public implementation. Methods DAHNA can be downloaded on mobile phones (iOS and Android). Firstly, the app assesses the user's ASCVD risk score based on their country of residence using a "one-size-fits-all" risk calculator that combines the 2021 European Society of Cardiology (ESC) SCORE2/SCORE2-OP scores and the American Heart Association (AHA) Framingham score. For Europe, the calculation is based on the four SCORE2/SCORE2-OP tables for the four risk regions. DAHNA is not limited to healthy individuals and allows the user to indicate if they have diabetes, chronic kidney disease, or ASCVD. Secondly, based on the individual ASCVD risk score, DAHNA offers the following features: 1. Personalized healthy menus (Mediterranean diet) based on the only macro- and micronutrients proven to reduce individual ASCVD risk and in the recommended daily dose, with an automatically generated ingredient list and quantities; the user can choose to purchase the ingredients personally or order the list from suppliers; 2. Periodic follow-up of ASCVD risk outcomes; 3. Display of healthy life minutes gained by the user; 4. Notifications, reminders, rewards within the app, personalized weight loss plans, PDF reports to share with healthcare teams, and nutritional education; 5. A recommendation for a medical examination for those with high or very high risk; 6. Short movies to introduce physical activity and up-to-date medical information; 7. All data is collected in a central database. Results Between August 10th, 2022 and February 12th, 2023, 19,780 users downloaded DAHNA (mean age 48 +/- 10 years, 58% females, 11.13% with diabetes, 15.16% smokers, 16.4% with hypertension; 14% had low-to-moderate risk, 40% had high risk, and 46% had very high risk). A 100% correspondence was confirmed between the results of the DAHNA calculator and the ESC tables. Conclusion 1. DAHNA self-screening showed that 86% of users belong to the high or very high ASCVD risk group, which is consistent with statistical data showing Romania among the countries with a very high ASCVD risk. 2. This app is the first to assign a personalized healthy diet based on specific micronutrients to control ASCVD risk, provide medical recommendations for a healthy lifestyle, and allow for real-time management of major risk factors and ASCVD risk in large populations. These data should be important for adjusting health policies.

Automatic Medicine Dispensing System Using IoT

Formerly, human beings may dwell in shared households when at least one person used to be in the house to attend to senior human beings. In contemporary days, human beings picked nuclear households where there isn't one gift to take better care of aged humans and suffering owing to their hectic work routine. To achieve this, they desire to engage a caretaker in regard to the suffering for their weight loss plan, cleanliness, remedy among other things. Money given to the caretakers may impact their financial reserves. To prevail over such problems a model is important. This version takes medication the patients and elderly people automatically to tell them about medicine in time as prescribed by the Doctor. This is performed with the aid of presetting the appropriate time and matching it with RTC clock. If they chance to be equal, tablets are distributed. The customer is given ample time to ingest the pills. Thus, the given model is used for old persons, suffering, sick and the illiterates to promise medication at acceptable time and concurrently warn the caretaker if affected person fails to take medicines.

Changes in dietary and lifestyle behaviors and mental stress among medical students upon Ramadan diurnal intermittent fasting: a prospective cohort study from Taif/Saudi Arabia

BackgroundIntermittent fasting (IF) is a popular dietary plan for weight loss. In fact, fasting is a common practice in different religions such as Buddhism, Hinduism, Judaism, Christianity, and Islam. During the month of Ramadan, more than 1.5 billion Muslims worldwide fast from dawn to sunset. Ramadan diurnal intermittent fasting (RDIF) has health benefits, including a reduction in cardiovascular disease (CVD) risk and an improvement in mood. However, little is known about the effects of RDIF on lifestyle behaviors, such as regular exercise, consuming healthy diet, and avoiding harmful substances, as well as mental stress, and academic performance in high school and university students.MethodsIn this prospective cohort study, two self-reported questionnaires were sent one week before and during the last week of Ramadan (April 2022; Ramadan 1443 in Hijri Islamic Calendar) to assess changes in lifestyle, perceived stress, and academic achievement of medical students at Taif University in Taif city, Saudi Arabia. Healthy lifestyle components data were collected to calculate healthy lifestyle scores, including body mass index, physical activity, adherence to a Mediterranean diet, smoking status, and sleep duration.ResultsRDIF was associated with a healthier lifestyle in both female and male participants (pre-RDIF mean score: 2.42 vs post-RDIF mean score: 2.74; statistical power = 0.99; P-value < 0.05). They were more active and adherent to the Mediterranean diet during RDIF. Additionally, the post-RDIF smoking rate declined by 53.4%. Male participants showed higher perceived stress scores during RDIF (pre-RDIF mean score: 19.52 vs post-RDIF mean score: 22.05; P-value < 0.01). No changes in academic performance were observed upon RDIF.ConclusionMedical students show healthier dietary and lifestyle behaviors and their academic performance is not affected during RDIF. However, perceived stress is higher among male students.

The Key Approaches to a Successful Weight Loss Plan

The Key Approaches to a Successful Weight Loss Plan

MEAL REPLACEMENT AS A PART OF OBESITY TREATMENT: A NARRATIVE REVIEW

Obesity is thought to be a complicated, multifaceted chronic disease that results from the combination of environmental and genotypic variables. Implementing a wide strategy for obesity prevention and management is required given the variety and complexity of factors impacting obesity. Most healthcare practitioners use dietary therapies such calorie-restricted diets, Mediterranean diets, DASH diets, and intermittent fasting to encourage weight loss. Meal replacement products (MRPs) are used as part of a calorie restricted diet which helps to control our food choices and leads to calorie reduction. This article reviews the usage of MRP as a weight loss therapy and summarizes the literature about their effectiveness to reduce weight in patients with obesity. From the literature search, it can be concluded that MRPs contain a precise amount of macronutrients, micronutrients, and fiber to provide a nutritionally balanced meal. MRPs have been extensively studied as a weight loss therapy, and several scientific studies have confirmed their efficacy. The main ways that MRPs aid in weight loss are by reducing appetite and improving diet adherence, which makes it easier for individuals to stick to their diet plan and achieve their weight loss goals. Overall, MRPs should be considered as a viable treatment option for patients who are motivated to lose weight, as they offer a simple, convenient, and effective way to reduce calorie intake, improve diet adherence, and achieve sustainable weight loss. However, it is important to note that MRPs should be used as part of a comprehensive weight loss plan that includes regular physical activity and behavior modification strategies for long-term success.

GLOBAL LIFESTYLE DISEASES: LESSONS FOR THE FUTURE

Lifestyle illnesses are a major public health concern in the modern world. The way a person lives has an effect on how t they are. Smoking, unstable diets and weight loss plans, physical inactivity, and alcohol use are four variable lifestyle behaviours that are linked to the development of noncommunicable diseases (NCDs), which tend to last a long time and are bthe result of the combination of genetic, physiological, behavioural, and environmental factors. Diabetes, most cancers, cardiovascular infection, blood stress/excessive blood strain, and so on are only a few examples. According to several study ndings, death from NCDs disproportionately affects the poorest people worldwide as well as low- and middle-income countries o minimise the effect of way of life ailments on individuals and society, the author attempted to broaden a holistic approach that encompasses all sectors, which include health, nance, training, planning, and others. This review's major focus is on the growing burden of noncommunicable illnesses/lifestyle diseases in emerging nations. The other issues include various risk factors, correct diagnosis, screening, and treatment of these diseases, as well as giving comfort care to those who require it. The author right here believes that standard encouraging wholesome behaviours in the population ought to make a contribution to decreasing the excessive burden of life style diseases.

Tirzepatide for Weight Loss: Can Medical Therapy "Outweigh" Bariatric Surgery?

The worldwide prevalence of obesity has been increasing progressively over the past few decades and is predicted to continue to rise in coming years. Unfortunately, this epidemic is also affecting increasing rates of children and adolescents, posing a serious global health concern. Increased adiposity is associated with various comorbidities and increased mortality risk. Conversely, weight loss and chronic weight management are associated with improvements in overall morbidity and mortality. The pathophysiology of obesity is multifactorial with complex interactions between genetic and environmental factors. The foundation of most weight loss plans is lifestyle modification including dietary change and exercise. However, lifestyle modification alone is often insufficient to achieve clinically meaningful weight loss due to physiological mechanisms that limit weight reduction and promote weight regain. Therefore, research has focused on adjunctive pharmacotherapy to enable patients to achieve greater weight loss and improved chronic weight maintenance compared to lifestyle modification alone. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are incretin hormone analogs that have proven effective for the management of type 2 diabetes mellitus as well as obesity and overweight. Tirzepatide is a novel "twincretin" that functions as a dual glucose-dependent insulinotropic polypeptide and GLP-1 RA. Tirzepatide was recently approved by the Food and Drug Administration for the management of type 2 diabetes. Similar to previously approved GLP-1RAs, weight loss is a common side effect of tirzepatide which prompted research focused on its use as a primary weight loss therapy. Although this drug has not yet been approved as an antiobesity medication, there are several phase 3 clinical trials that have demonstrated superior weight loss efficacy compared with previously approved medications. This review article will discuss the discovery and mechanism of tirzepatide, as well as the completed and ongoing trials that may lead to its approval as an adjunctive pharmacotherapy for weight loss.

Characteristics and Weight Loss Practices From a Cohort of 20,000 Patients Using Direct-to-Consumer Telehealth: Observational Cross-sectional Study.

Despite the increasing prevalence of obesity, the use of pharmacotherapy treatment remains low. Telehealth platforms have the potential to facilitate access to pharmacotherapy interventions, but little is known about telehealth patients. This study describes a large patient population taking Plenity, an oral superabsorbent hydrogel (OSH) used in the treatment of excess weight or obesity (BMI 25-40 kg/m2). The analysis compared differences in weight loss practices and in-person access to obesity care among telehealth patients with preobesity and obesity. This was a cross-sectional assessment of a random sample of 20,000 telehealth patients who completed a structured, web-based visit and received at least one prescription of OSH. Patients were eligible to receive care via telehealth if they were adults, were not pregnant, and had a BMI ≥25 kg/m2. During the visit, patients provided baseline health information including comorbidities, diet, and exercise habits. Their zip code of residence was used to determine their proximity to an obesity medicine provider. Descriptive statistical analysis and tests of differences (chi-square and 2-tailed t tests) were used to compare patients with preobesity (BMI 25-29.9 kg/m2) and obesity (BMI 30-40 kg/m2). Most (15,576/20,000, 77.88%) of the cohort were female, with a mean age of 44 (SD 11) years and a mean BMI of 32.4 (SD 4.1) kg/m2. Among the cohort, 32.13% (6426/20,000) had preobesity, and 40.18% (8036/20,000) of all patients had ≥1 weight-related comorbidity. Almost all (19,732/20,000, 98.66%) patients attempted 1 weight loss method before OSH and half (10,067/20,000, 50.34%) tried ≥4 different methods. Exercise and low-calorie diets were the most attempted weight loss methods, and 28.76% (5752/20,000) of patients reported a prior prescription of weight loss medication. Patients with obesity were more likely than patients with preobesity to have previously tried commercial weight loss plans (7294/13,574, 53.74% vs 2791/6426, 43.43%; P<.001), specialized diets (8493/13,574, 62.57% vs 3799/6426, 59.12%; P<.001), over-the-counter supplements (6807/13,574, 50.15% vs 2876/6426, 44.76%; P<.001), and prescription weight loss medications (4407/13,574, 32.47% vs 1345/6426, 20.93%; P<.001). Females were more likely to seek treatment for preobesity (5332/15,576, 34.23% vs 1094/4424, 24.73% male; P<.001) and reported fewer comorbidities (5992/15,576, 38.47% vs 2044/4424, 46.2% male; P<.001), despite >90% of both sexes reporting the belief that excess weight negatively affected their health (14,247/15,576, 91.47% female participants, 4116/4424, 93.04% male participants). Moreover, 29.25% (5850/20,000) of patients lived in the same zip code and 85.15% (17,030/20,000) lived in the same county as an obesity medicine provider. Data from this large patient cohort supports the potential for telehealth to provide prescriptive weight management treatment to a population seeking care. Patients with preobesity are an undertreated population who actively seek new weight management options. Female participants sought weight management treatment earlier in the disease continuum than males, despite reporting fewer comorbidities.

TREINO AERÓBICO ASSOCIADO A DIETA HIPOCALÓRICA EM UNIVERSITÁRIOS OBESOS

ABSTRACT Introduction: The long-term energy imbalance between intake and consumption is the main reason for obesity in college students. Therefore, weight loss should also combine an inversely proportional intervention. Based on this premise, a growing number of studies combine physical training and diet to restore physical health in this population group. Objective: Study the impacts of endurance training associated with a low-calorie diet on the constitution and metabolism of obese college students. Methods: Through a questionnaire survey and a 4-week experimental endurance training program and hypocaloric diet, 20 obese college students volunteered for the intervention project. The exercise protocol for the training composition and the diet menu followed the updated recommendations in the scientific literature. At the end of the experiment, the relevant data collected were statistically analyzed and discussed. Results: After the diet intervention associated with endurance training, the BMI index of college students reduced from 28,075 to 26,378; the basal metabolic rate increased from 1581,046 kcal to 1681,317 kcal. Conclusion: Endurance training associated with a hypocaloric diet significantly reduced fat in obese college students. The efficacy of this association promoted a better joint effect on the outcome, compared to individual weight loss plans. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

Dietary Patterns and Meal Timing to Achieve a Healthy Body Weight and Promote Cardiometabolic Health: What Is the Evidence?

Dietary Patterns and Meal Timing to Achieve a Healthy Body Weight and Promote Cardiometabolic Health: What Is the Evidence?

Evaluation of a pet-separating automatic feeder and high-frequency meal feeding for weight loss in multi-cat households.

The objectives of this study were two-fold: (1) to determine if a feeder system providing individualized food access and automatic dispensing of meals makes weight-loss programs in multi-cat homes easier for cat owners; and (2) to assess if feeding six meals daily reduces food-seeking behavior and increases calorie requirements vs two meals per day. Adult cats with body condition scores (BCSs) of 7/9 or greater underwent a weight-loss plan for up to 6 months using a traditional feeding bowl with two meals per day (B2) or an automatic feeder with two meals (A2) or six meals (A6) per day. Cats were weighed at weeks 0, 2, 4, 6, 10, 14, 18, 22 and 26 and food intake was adjusted to maintain weight-loss rates between 0.5% and 1.5% body weight per week. Owner questionnaires were completed at each study visit. Twenty-three cats were included in the study. Cats fed from the automatic feeders were more likely to reach ideal body condition (P = 0.006), with 83.2% of cats in A6, 40% of cats in A2 and no cats in B2 achieving a BCS of ⩽6/9. Owners of cats fed from automatic feeders reported the weight-loss plan was easier vs owners of cats fed from bowls (P = 0.01). Owners using the automatic feeders also reported fewer incidences of certain food-seeking behaviors. Neither percent body weight lost per week nor calorie intake per kg differed between groups. Feeding six instead of two meals daily did not result in faster rates of weight loss or the need to increase calorie intake to maintain appropriate rates of weight loss. However, use of an automatic feeder that provided separated, portioned meal feeding made the weight-loss program easier, reduced food-seeking behaviors and improved the overall success of the weight-loss plan.

Possible Nonneurological Health Benefits of Ketogenic Diet: Review of Scientific Reports over the Past Decade.

The ketogenic diet (KD) has been used since the 1920s as a therapy for drug-resistant epilepsy. Due to the beneficial effects of this diet on the nervous system and the proposed multifaceted effects of ketones on health and disease, researchers have evaluated its use in other nonneurological conditions. The objective of this review was to analyze the most recent papers, which is why meta-analyses were used in which 75% of the studies were from 2012 to 2022. Authors also cited single studies from the last decade that lasted longer than 12 months to assess the long-term benefits of KD. Reports from the past decade have highlighted several significant areas regarding the impact of KD. One of these is the use of very low-calorie ketogenic diet (VLCKD) as an effective possibly safe and patient-motivating component of a long-term weight loss plan. Reports on the positive influence of KD on the health of obese individuals, and the possible resulting validity of its use, should be verified by patients' physical activity levels. A significant number of studies from the last decade evaluate the effect of KD on improving the health of individuals with type 2 diabetes as an effective tool in lowering glycated hemoglobin (Hb1Ac) and required doses of hypoglycemic drugs. The long-term studies indicate a possible beneficial effect of KD on cardiovascular function due to improvement lipid profile, changes in apolipoprotein (Apo) A1, adiponectin, and intercellular adhesion molecule-1 (ICAM-1).

Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions.

Implementation of artificial intelligence (AI) in medical decision-making is still in early development. We developed an AI robot intervention prototype with a health literacy-friendly interface that uses interactive voice response (IVR) surveying to assist in decision-making for weight loss. The weight-specific health literacy instrument (WSHLI) and Shared Decision-Making Questionnaire (SDMQ) were used to measure factors influencing weight-loss decisions. Factors associated with participants choosing to lose weight were analyzed using logistic regression, and factors influencing the selection of specific weight-loss plans were examined with one-way analysis of variance. Our study recruited 144 overweight or obese adults (69.4% women, 58.3% with body mass index (BMI) ≥ 24). After interacting with the AI robot, 78% of the study population made the decision to lose weight. SDMQ score was a significant factor positively influencing the decision for weight-loss (odds ratio [OR]: 2.16, 95% confidence interval [CI]: 1.09-4.29, p = 0.027). Individuals who selected self-monitored lifestyle modification (mean ± SD: 11.52 ± 1.95) had significantly higher health literacy than those who selected dietician-assisted plan (9.92 ± 2.30) and physician-guided treatment (9.60 ± 1.52) (both p = 0.001). The study results demonstrated that our prototype AI robot can effectively encourage individuals to make decisions regarding weight management and that both WSHLI and SDMQ scores affect the choice of weight-loss plans.

Recognition of Obesity and Perceptions of Weight Loss Management in Patients With Chronic Kidney Disease: A Retrospective Cross-Sectional Study.

Background:Obesity is, directly and indirectly, linked to the progression of chronic kidney disease (CKD). However, nephrologists’ recognition of obesity and willingness to address and manage obesity are unknown.Objectives:The aim of this article is to investigate if obesity is recognized and documented in the clinical encounter and to examine nephrologists’ perceptions of obesity and comfort with weight loss management.Design:We conducted a 2-part study. Part I used a retrospective chart review and part II used an anonymous online survey of practicing nephrologists (n = 14) in our center.Setting:The study took place in the Multi-care Kidney Clinic (MCKC) at London Health Sciences Centre in London, Ontario, Canada.Patients:In part I, we conducted a retrospective chart review of 10 random patients with advanced CKD and obesity (body mass index [BMI] > 30 kg/m2) from each of the nephrologists between January and December 2019.Methods:In part I, charts were assessed for documentation of obesity and/or a treatment plan (lifestyle counseling, pharmacologic intervention, and specialist referral). In part II, a survey completed by the nephrologists explored their current experience and perceptions of obesity and comfort with weight loss management. Responses were ranked on a 5-point Likert scale.Results:In all, 140 patient charts were reviewed. The median age was 69 (interquartile range [IQR] = 60-77) years, estimated glomerular filtration rate (eGFR) was 17 (IQR = 12-20) ml/min/1.73 m2, weight was 99 (IQR = 90-116) kg, and BMI was 36 (IQR = 33-40) kg/m2. Obesity with a BMI was documented in 36 (26%) charts, and only 2 (1%) documented a weight loss plan, which only included non-pharmacologic strategies. There were 13 survey responses (93% response rate). All nephrologists agreed that obesity negatively affects the health of patients with CKD. Twelve (92%) reported discussing obesity with patients, but none felt that they had time to treat it. All reported discussions of obesity would evoke a negative patient response, while 5 (38%) thought patients actually want to discuss obesity. Regarding treatment, 8 (62%) nephrologists felt comfortable with non-pharmacologic treatment, but only 1 respondent was comfortable with pharmacologic treatments. Twelve (92%) nephrologists thought patients should be referred to a specialist.Limitations:There was limited generalizability as this was a single center study. The BMI may reflect hypervolemia rather than body mass.Conclusion:In our study, nephrologists rarely document and manage obesity in patients with advanced CKD, despite their perception of treatment benefits. Improved outcomes of obesity management for patients with CKD will require increased knowledge and clinical tools to efficiently address obesity with patients.

Retraction Note: Stability of river ecological bank slope based on network prediction model and monitoring of exercise weight loss effect

In this paper, the BP neural network is optimized by using the network prediction algorithm to eliminate the shortcomings of the traditional BP neural network, such as local minimum and slow convergence speed, and the performance of the network prediction model is determined through comparative simulation experiments. Then, ABAQUS is used to create a numerical finite element model of river ecological bank slope, and its stability is analyzed by numerical simulation. The main factors considered are the change of water level in the canal, the influence of precipitation, and the influence of ship waves. On the basis of finite element analysis, combined with multilanguage programming method, we completed the construction of river ecosystem slope stability early warning platform based on GIS and finite element technology. Secondly, the shallow root reinforcement and deep root vegetation anchorage are determined to improve the stability of the bank slope, so as to better guide the design and application of riparian ecological protection projects. Finally, the network prediction model is used to monitor the effect of weight loss, then find the maximum fatty acid strength of overweight people, and make Fatmax weight loss plan for overweight people. In addition, we will compare the effect of Fatmax weight loss exercise program on various body functions of obese people in normal and hypoxic environments, so as to provide reference for those who are going to lose weight. In this paper, through the study of network prediction model and river ecological slope stability, it is applied to the research of sports weight loss effect monitoring, which promotes the better development of sports weight loss.