This study aimed to identify factors associated with optimal weight loss response by analyzing pre-weight loss data from a cohort of 2577 patients with obesity who visited weight management clinics between 2013 and 2022. Out of these, 1276 patients had follow-up data available. Following dietary and exercise interventions, 580 participants achieved optimal weight loss outcomes. Participants were subsequently divided into two groups based on their weight loss outcomes: those who achieved optimal weight loss response and those who did not. Statistical analysis, conducted using RStudio, identified thirteen predictor variables through LASSO and logistic regression, with age emerging as the most influential predictor. A nomogram was developed to predict optimal weight loss response, showing good predictive performance (AUC = 0.807) and clinical applicability, validated by internal validation methods. Decision curve analysis (DCA) further illustrated the nomogram\'s clinical utility. The developed nomogram prediction model for optimal weight loss response is user-friendly, highly accurate, and demonstrates excellent discriminative and calibration capabilities.

Accurate weight predictions are essential for weight management program patients. The freely available National Institutes of Health Body Weight Planner (NIH-BWP) returns expected weights over time but overestimates weight when patients consume a low-calorie diet. This study sought to increase the accuracy of NIH-BWP predicted weights for people on low-calorie diets. People enrolled in a weight management program were included if they received meal replacements with defined caloric content for the 3 months of the weight loss phase of the program. The Ottawa Weight Loss Prediction Model (OWL-PM) modelled the relative difference between observed and NIH-BWP predicted weights using longitudinal analysis methods based on patient factors. OWL-PM was externally validated. 1761 people were included (mean age 46 years, 73.3% women) with a mean (SD) baseline weight in pounds and body mass index of 271.9 (55.6) and 43.9 (7.4), respectively. At the end of the program\'s weight loss phase, people lost a median (IQR) of 17.1% (14.8-19.5) of their baseline weight. Observed weight relative to NIH-BWP predicted weights had a median value of - 4.9% but ranged from - 32.1% to + 28.5%. After adjustment, weight overestimation by NIH-BWP was most pronounced in male patients, people without diabetes and with increased observation time. OWL-PM returned expected weights at 3 months that were significantly more accurate than those from NIH-BWP alone (mean difference observed vs. expected [95% CI] 6.7lbs [6.4-7.0] vs. 12.6lbs [12.1-13.0]). In the external validation cohort (n = 106), OWL-PM was significantly more accurate than NIH-BWP (mean squared error 24.3 vs. 40.0, p = 0.0018). OWL-PM incorporated patient-level covariates to significantly increase weight prediction accuracy of NIH-BWP in patients consuming a low-calorie diet.

Soldiers of the Mexican Army with obesity were subjected to an intense 60-day weight-loss course consisting of a controlled diet, daily physical training, and psychological sessions. The nutritional treatment followed the European Society of Cardiology (ESC) recommendations, incorporating elements of the traditional milpa diet in the nutritional intervention. The total energy intake was reduced by 200 kcal every 20 days, starting with 1,800 kcal and ending with 1,400 kcal daily. On average, the participants reduced their body weight by 18 kg. We employed an innovative approach to monitor the progress of the twelve soldiers who completed the entire program. We compared the untargeted metabolomics profiles of their urine samples, taken before and after the course. The data obtained through liquid chromatography and high-resolution mass spectrometry (LC-MS) provided insightful results. Classification models perfectly separated the profiles pre and post-course, indicating a significant reprogramming of the participants\' metabolism. The changes were observed in the C1-, vitamin, amino acid, and energy metabolism pathways, primarily affecting the liver, biliary system, and mitochondria. This study not only demonstrates the potential of rapid weight loss and metabolic pathway modification but also introduces a non-invasive method for monitoring the metabolic state of individuals through urine mass spectrometry data.

The rising obesity epidemic requires effective and sustainable weight loss intervention strategies that take into account both of individual preferences and environmental impact. This study aims to develop and evaluate the effectiveness of an innovative digital biohacking approach for dietary modifications in promoting sustainable weight loss and reducing carbon footprint impact. A pilot study was conducted involving four participants who monitored their weight, diet, and activities over the course of a year. Data on food consumption, carbon footprint impact, calorie intake, macronutrient composition, weight, and energy expenditure were collected. A digital replica of the metabolism based on nutritional information, the Personalized Metabolic Avatar (PMA), was used to simulate weight changes, plan, and execute the digital biohacking approach to dietary interventions. The dietary modifications suggested by the digital biohacking approach resulted in an average daily calorie reduction of 236.78 kcal (14.24%) and a 15.12% reduction in carbon footprint impact (-736.48 gCO2eq) per participant. Digital biohacking simulations using PMA showed significant differences in weight change compared to actual recorded data, indicating effective weight reduction with the digital biohacking diet. Additionally, linear regression analysis on real data revealed a significant correlation between adherence to the suggested diet and weight loss. In conclusion, the digital biohacking recommendations provide a personalized and sustainable approach to weight loss, simultaneously reducing calorie intake and minimizing the carbon footprint impact. This approach shows promise in combating obesity while considering both individual preferences and environmental sustainability.

BACKGROUND: Formula diets, through the use of industrially manufactured meal replacement products, lead to effective and rapid weight reduction and improvement in obesity-associated comorbidities. The specific composition of these meal replacement products simplifies the adherence to calorie goals and ensures the supply of essential nutrients during significant energy restriction. Despite numerous potential applications, evidence from randomized controlled studies, and simplicity in practical implementation, challenges persist. Monotony and social restrictions complicate adherence and acceptance. The use of formula diets for sustainable weight loss requires integration into a multimodal treatment approach with the goal of long-term changes in eating and activity behaviour. This includes accompanying nutritional counselling, promotion of physical activity, evaluation of adjuvant pharmacological or interventional therapies, as well as psychological support. The development of new incretin-based anti-obesity medications has opened another application field for formula products. There is optimization potential in expanding the product range and combining it with digital applications to enhance acceptance and reach a larger patient group.
UNASSIGNED: Formula-Diäten für den Gewichtsverlust – Chancen und Herausforderungen.
UNASSIGNED: Formula-Diäten können mit dem Einsatz von industriell hergestellten Mahlzeitenersatzprodukten zu einer effektiven und schnellen Gewichtsreduktion und Verbesserung von Übergewichts-assoziierten Komorbiditäten führen. Durch die spezifische Zusammensetzung der Mahlzeitenersatzprodukte wird die Einhaltung der Kalorienziele und die Versorgung mit essenziellen Nährstoffen während einer erheblichen Energierestriktion vereinfacht. Trotz vieler möglicher Anwendungsfelder, Wirkungsnachweisen aus randomisiert kontrollierten Studien und Einfachheit in der praktischen Umsetzung bestehen Herausforderungen. Eintönigkeit und soziale Einschränkungen erschweren das Durchhalten und die Akzeptanz. Der Einsatz von Formula-Diäten zum nachhaltigen Gewichtsverlust erfordert deren Integration in ein multimodales Behandlungskonzept mit dem Ziel einer langfristigen Änderung des Ess- und Bewegungsverhaltens. Dazu gehört eine begleitende Ernährungsberatung, Bewegungsförderung, Evaluation adjuvanter pharmakolgischer oder interventioneller Therapien, sowie psychologische Unterstützung. Durch die Entwicklung neuer Inkretin-basierter Adipositasmedikamente hat sich ein weiteres Anwendungsfeld für Formula-Produkte eröffnet. Optimierungspotenzial liegt in einer Ausweitung des Produkteangebots und der Kombination mit digitalen Anwendungen, womit die Akzeptanz gesteigert und eine grössere Patientengruppe angesprochen werden kann.

BACKGROUND: Obesity may increase surgical complexity in patients undergoing abdominal surgery by limiting visualization and increasing the risk of peri-operative complications. A preoperative reduction in weight and liver volume may improve surgical outcomes. The aim of our study was to evaluate the efficacy of a low-calorie diet (LCD) versus a very low-calorie diet (VLCD) in reducing weight and liver volume prior to laparoscopic surgery.
METHODS: A systematic search was conducted using the following inclusion criteria: obese patients undergoing preoperative weight loss using a VLCD or LCD, evaluation of liver volume reduction, and the use of an imaging modality before and after the diet.
RESULTS: A total of 814 patients from 21 different studies were included in this systematic review and meta-analysis, with 544 female patients (66.8%) and a mean age range between 24 and 54 years old. There was a total mean weight loss of 6.42% and mean liver volume reduction of 16.7%. Meta-analysis demonstrated that a preoperative diet (LCD or VLCD) significantly reduced weight [SMD = - 0.68; 95% CI (- 0.93, - 0.42), I2 = 82%, p ≤ 0.01] and liver volume [SMD = - 2.03; 95% CI (- 4.00, - 0.06), I2 = 94%, p ≤ 0.01]. When assessed individually, a VLCD led to significant weight reduction [SMD = - 0.79; CI (- 1.24; - 0.34), p ≤ 0.01, I2 = 90%], as did an LCD [SMD = - 0.60; CI (- 0.90; - 0.29), p ≤ 0.01, I2 = 68%). Similarly, there was a significant reduction in liver volume following a VLCD [SMD = - 1.40; CI (- 2.77, - 0.03), p ≤ 0.01, I2 = 96%], and an LCD [SMD = - 2.66; CI (- 6.13, 0.81), p ≤ 0.01, I2 = 93%]. However, there was no significant difference between the two regimens.
CONCLUSIONS: Preoperative restrictive calorie diets are effective in reducing weight and liver volume prior to laparoscopic surgery. Whilst a VLCD was better than an LCD at reducing both weight and liver volume, the difference was not significant.

Higher intake of ultraprocessed foods (UPFs) is associated with obesity. We examined whether replacing UPFs (NOVA 4) with minimally processed foods and culinary ingredients (NOVA 1 + 2) was associated with differential weight change in this secondary prospective analysis of the Preventing Overweight Using Novel Dietary Strategies (POUNDS) Lost trial.
We estimated percent energy intake (%kcal) from the four NOVA groups using 24-h dietary recalls in a subset of 356 participants. Multivariable-adjusted substitution models examined whether replacing %kcal from UPFs with NOVA 1 + 2 was associated with greater weight, body fat percentage, trunk fat, and waist circumference reduction at 6 months; changes in parameters were compared among NOVA 1 + 2 tertiles (T).
Participants were on average 52.3 years of age, 85% White, 55% female, and 58.2% nonsmoking, with a mean BMI of 32.7 kg/m2. Replacing 10%kcal of UPFs with NOVA 1 + 2 was associated with greater 6-month weight (ß = 0.51, 95% CI: -0.93 to -0.09, p = 0.02), body fat percentage (ß = 2.7, 95% CI: -5.10 to -0.43, p = 0.02), and trunk fat reduction (ß = 3.9, 95% CI: -7.01 to -0.70, p = 0.02), but not waist circumference reduction. Participants in T3 (-8.33 kg) versus T1 (-5.32 kg) of NOVA 1 + 2 had greater weight loss (p < 0.001).
Isocaloric substitution of UPFs with NOVA 1 + 2 was associated with marginally greater weight loss under energy restriction. These modest findings support more research exploring the mechanisms linking UPFs with body weight regulation beyond energy intake.

The Diabetes Remission Clinical Trial (DiRECT) demonstrated that substantial weight loss and remission from type 2 diabetes can be achieved with low-energy total diet replacement and behavioural support. However, the acceptability of the DiRECT intervention in diverse populations with strong cultural emphases on food and shared eating remains unclear. We conducted a qualitative study nested within a pilot randomised controlled trial of DiRECT in one Māori (the Indigenous people of New Zealand) primary care provider in Aotearoa New Zealand. Participants with type 2 diabetes or prediabetes, obesity, and a desire to lose weight were randomised to either dietitian-supported usual care or the dietitian-supported DiRECT intervention for twelve months. The DiRECT intervention included three months of total diet replacement, then food reintroduction and supported weight loss maintenance. At three and twelve months, semi-structured interviews explored the acceptability of DiRECT and participants\' experiences of each intervention. Interview transcripts from 25 participants (aged 48 ± 10 years, 76% female, 78% Māori or Pacific) at three months and 15 participants at twelve months were analysed. Participants viewed their pre-enrolment selves as unhealthy people with poor eating habits and desired professional weight loss support. For DiRECT participants, the total diet replacement phase was challenging but well-received, due to rapid improvements in weight and health. Food reintroduction and weight loss maintenance each presented unique challenges requiring effective strategies and adaptability. All participants considered individualised and empathetic dietetic support crucial to success. Sociocultural factors influencing success were experienced in both interventions: family and social networks provided support and motivation; however, eating-related norms were identified as challenges. The DiRECT intervention was considered an acceptable approach to weight loss in participants with type 2 diabetes or prediabetes with strong cultural emphases on food and shared eating. Our findings highlight the importance of individualised and culturally relevant behavioural support for effective weight loss and weight loss maintenance.

Estimating the change rates in body size following the weight loss programs is very important in the compliance of those programs. Although, there is enough evidence on the significant association of body weight change with the other anthropometric indices and/ or body composition, there is so limited studies that have depicted this relationship as mathematical formulas. Therefore, the present research designed to use a mathematical model to predict changes of anthropometric indices following a weight-loss diet in the overweight and obese women. In this longitudinal study, 212 overweight/obese women who received an individualized low-calorie diet (LCD) were selected and followed-up for five months. Anthropometric measurements such as weight, waist circumference (WC), hip circumference (HC), and body composition (lean mass and fat mass) were performed. Then, body mass index, waist to hip ratio (WHR), waist to height ratio (WHtR), a body shape index (ABSI), abdominal volume index (AVI), and body adiposity index (BAI) were calculated using the related formula. Following the LCD led to the substantial and consistent changes in various anthropometric indices over time. All of these anthropometric variations were significantly related with the percent change (PC) of body weight except than WHR. Moreover, according to the mathematical formulas, weight loss was closely related to the decrease of WC (PC-WC =  - 0.120 + 0.703 × PC-WT), HC (PC-HC =  - 0.350 + 0.510 × PC-WT), body fat percentage (PC-Body Fat =  - 0.019 + 0.915 × PC-WT), WHtR (PC-WHtR =  - 0.113 + 0.702 × PC-WT), and improvements in ABSI (PC-ABSI =  - 0.112 + 0.034 × PC-WT) and AVI (PC-AVI =  - 0.324 + 1.320 × PC-WT). The decreasing rates of WC, HC, body fat percentage, WHtR, ABSI, and AVI in relation to the weight loss were clinically and statistically significant. This means that a healthy weight lowering diet would be accompanied by decreasing the body fat, body size and also the risk of morbidities.

BACKGROUND: The effects of the rs822393 variant of ADIPOQ gene on metabolic parameters such as insulin resistance and adiponectin levels following weight loss through dietary intervention are still uncertain. The aim of this study was to evaluate the role of rs822393 of ADIPOQ gene on adiponectin levels and metabolic parameters after weight loss with a high-fat hypocaloric diet with Mediterranean pattern during 12 weeks.
METHODS: A population of 283 patients with obesity was allocated to a dietary intervention trial with a high-fat hypocaloric diet during 12 weeks. Adiposity and biochemical parameters were determined. rs822393 was assessed with a dominant model analysis (CC vs. CT + TT).
RESULTS: These patients had three different genotypes: CC (59.0%), CT (33.6%), and TT (7.4%). The allelic frequencies for C and T were 0.89 and 0.20, respectively. Basal and post-intervention HDL cholesterol, adiponectin levels, and adiponectin/leptin ratio were lower in T-allele than non-T-allele carriers. After dietary intervention, BMI, weight, fat mass, waist circumference, systolic blood pressure, insulin, HOMA-IR, leptin, total cholesterol, and LDL cholesterol levels improved significantly in both genotype groups. Moreover, HDL cholesterol (CC vs. CT + TT) (delta: 8.9 ± 1.1 mg/dL vs. 1.7 ± 0.8 mg/dL; p = 0.02), serum adiponectin in non-T-allele carriers (43.1 ± 5.9 ng/dL vs. 2.8 ± 3 0.0 ng/dL; p = 0.01), and adiponectin/leptin ratio (1.37 ± 0.1 units vs. 0.17 ± 0.08 units; p = 0.02) improved only in non-T-allele carriers after weight loss.
CONCLUSIONS: Individuals with obesity and without the T allele of rs822393 experienced improvements in adiponectin levels, adiponectin/leptin ratio, and HDL cholesterol levels after following a high-fat hypocaloric diet with a Mediterranean pattern.