Evaluating the Impact of a Virtual Health Coaching Lifestyle Program on Weight Loss after Sleeve Gastrectomy: A Prospective Study.

Bariatric surgery (BS) is a leading treatment for obesity; however, adverse side effects (e.g., pain and infection) can deter patients or affect weight maintenance. This study investigates how a post-operative virtual health coaching lifestyle program, monitoring virtual weekly goal progress made by patients, affects weight loss after BS, specifically sleeve gastrectomy. Patients recruited for this 6-month study were classified with a BMI > 30 kg/m2 90 days post-operatively. Patients were prescribed lifestyle support delivered by certified health and wellness coaches (InHealth Lifestyle Therapeutics™). Demographic variables (e.g., age, weight, height, and gender) were obtained and compared according to initial, 3-, 6-month, and current weight through repeated measures ANOVA and post hoc comparison. Thirty-eight adult participants were included, with a mean age of 52 years ± 12.9 and with a majority (n = 35; 97%) of them being female. There were significant differences in weight reported across all five time points (p < 0.05), with the greatest weight difference seen between the initial (250.3 ± 45.5 lbs.) and final time points (226.7± 40.4 lbs.). This study suggests post-operative virtual health coaching can enhance weight loss outcomes after sleeve gastrectomy. Further research is needed to assess the long-term effects and cost-effectiveness of such a form of coaching for bariatric surgery patients.

Exploring Sex Differences in the Effectiveness of Telehealth-Based Health Coaching in Weight Management in an Employee Population.

PURPOSE: To explore a telehealth-based lifestyle therapeutics (THBC) program on weight loss (WL) and program satisfaction in an employer population. DESIGN: This study was a collaboration between inHealth Lifestyle Therapeutics and a large national employer group including 685 participants (296 women [64% obese] and 389 men [62% obese]). MEASURES: Percent WL and subjective rating (Perceived Program Value measured by a questionnaire) were assessed. INTERVENTION: Average number of visits was 3.1 ± 0.4; each visit ranged between 20 and 45 minutes. ANALYSIS: This study utilized a 2 × 2 block design using analysis of variance techniques based on sex (male and female) and initial body mass index (BMI) category (overweight and obese) tested at P ≤ .05. RESULTS: There was no statistical difference in %WL between by sex (F1,681 = 0.398, P = .528) nor an interaction between sex and BMI (F1,681 = 0.809, P = .369). There was a statistically significant difference in %WL from pre to post program across initial BMI category (F1,681 = 13.707, P ≤ .001) with obese participants losing an average of 1.1% (0.5%-1.6%) more than overweight participants (overweight 2.5% [2.1%-3.0%] vs obese 3.6% [3.2%-3.9%]). Obese participants were 1.15 (1.07-1.25) times more likely to lose weight compared to overweight participants. Analysis of variance power analysis indicated sufficient power on minimum factor combination n = 106 ( Effect Size = 0.282). CONCLUSION: Results support the efficacy THBC in supporting WL with no reported differences between men and women, while having a high perceived value for employee participants.

Metabolic Costs of a 58-minute Multi-Intensity Exercise Session with and Without Music and Cueing.

It is unclear if the presence or absence of music and cueing influence total energy expenditure (TEE) during a multi-intensity exercise program. The purpose of this study was to determine the difference between TEE with or without music and cueing during a 58-minute exercise session using heart rate estimation (HRe) and indirect calorimetry (IC). Using a randomized crossover design, 22 participants (6 males; 16 females; 27.64 ± 10.33 yrs.) were randomized into two groups (Group A = 11; Group B = 11). All participants performed the same 58-minute exercise session under two conditions: with music (WM) and without music and cueing (WOM). TEE was obtained through the Activio heart rate system for all 22 participants. TEE and excess post-exercise oxygen consumption (EPOC) were also obtained in a subset of eight participants (4 males; 4 females; 28.25 ± 5.9 yrs.) via IC through a ParvoMedics metabolic cart. Paired samples t-tests were performed to compare TEE between conditions using HRe and IC. Statistical analysis was performed using IBM Analytics, SPSS v24 with significance set at p < 0.05. A significant difference (p = 0.008) was found between TEE WM and WOM using IC (475.74 ± 98.50 vs. 429.37 ± 121.42), but not between TEE WM and WOM using HRe (p = 2.04; 482.67 ± 151.79 vs. 452.90 ± 164.59). The presence of music and cueing increased TEE when monitored via IC, but not when measured via wearable heart rate technology. Music and cueing does aid in additional caloric expenditure.

Telehealth-Based Health Coaching Increases m-Health Device Adherence and Rate of Weight Loss in Obese Participants.

Background: Healthy rate of weight loss (RWL) is defined as 1-2 lb of body weight loss per week. Objective: The objective of this study is to investigate changes in adherence to remote monitoring devices and RWL per week in response to a fully online, 12-week, medically monitored, weight management program incorporating weekly video-based health coaching (intervention group [INT]) versus self-guided (control group [CON]). Methods: Twenty-five obese participants (12 males, 13 females) were randomly assigned to either an INT (n = 13, 106.8 ± 25.46 kg, body mass index [BMI] = 35.19 ± 3.91 kg/m2) or CON group (n = 12, 99.8 ± 19.14 kg, BMI = 34.86 ± 4.43 kg/m2). Program related content was derived from inHealth Medical Services, Inc., Telehealth Enabled Approach to Multidisciplinary care (TEAM™) curriculum. All participants were given two wireless devices (Activity Pop and Body Scale; Withings®, Cambridge, MA) that connected them directly with the research team. The INT group connected via telehealth videoconferencing weekly for health coaching with the registered dietitian and monthly for medical monitoring with the physician, while the CON group did not. Both groups connected with the physician and registered dietitian at baseline to establish clinical goals and at the end to review progress. To analyze the data, independent samples t-tests and χ2 tests were performed via SPSS v24 with data displayed as average ± SD; significance set to p < 0.05. Results: The INT group had increased device adherence when compared with CON (92% ± 10% vs. 75% ± 15% scale [p < 0.05]) and (80% ± 14% vs. 49% ± 15% tracker [p < 0.05]). Furthermore, RWL per week was greater in the INT when compared with CON; -0.74 ± 1.8 kg versus 0.18 ± 1.8 kg per week, respectively (p < 0.05). Conclusions: Weekly health coaching via telehealth can be an effective tool to increase remote device adherence and may help to induce a healthy RWL.

Self-reported methods of weight cutting in professional mixed-martial artists: how much are they losing and who is advising them?

BACKGROUND: Similar to other combat sports, mixed martial arts (MMA) includes divisional weight classes. The purpose of our research was to further investigate the amount of weight professional MMA fighters lost prior to weighing in for competition, their methods used to cut weight, and their sources of advice on how to cut weight. METHODS: This survey was administered to 92 male professional MMA athletes. The survey questions included duration of overall weight loss prior to competition, methods of weight-cutting, and their sources of advice regarding weight cutting. RESULTS: When comparing the number of methods of weight cutting with the source of advice, those who received their advice from social media used slightly more methods of weight cutting (M = 4.86, SD = 1.27) than those who did not (M = 4.02, SD = 1.55); t(90) = - 2.53, p < .05. MMA athletes that used the help of a registered dietitian nutritionist also reported using the least amount of methods for weight-cutting than any other category (M = 3.84, SD = 1.67). Those that used teammates and did not use a registered dietitian nutritionist used slightly more methods (M = 4.46, SD = 1.41) than those who used a registered dietitian nutritionist. CONCLUSIONS: The findings of this study report that professional MMA athletes do undergo rapid weight loss through various methods to make weight for competition. This study adds evidence to the literature that most professional MMA athletes undergo RWL for competition without the guidance of a registered dietitian nutritionist. It is unclear what the effect of using a registered dietitian nutritionist may have on an MMA athletes' ability to reduce weight in a safe and effective manner. Future research should seek to investigate if employing a registered dietitian nutritionist may lead to a higher rate of success for MMA athletes to make weight, and help reduce adverse risks of RWL.

The efficacy of a telemedicine-based weight loss program with video conference health coaching support.

INTRODUCTION: Clinically significant weight loss is defined as a ≥5% of initial body weight loss within a 6-month period. The purpose of this study was to assess body weight change from a 12-week telehealth-based weight loss program that integrated health coaching via video conferencing. METHODS: A total of 25 obese participants (12 males, 13 females) were recruited for this fully online 12-week weight loss program. Participants were randomly assigned to either an intervention group or control group ( n = 13 intervention, body mass index (BMI) = 34.7 ± 4.5 kg/m2; n = 12 control, BMI = 34.4 ± 4.43 kg/m2). All participants were given access to a secure platform for data tracking and video conferencing with the research team. The intervention group met with the medical doctor once per month and with a registered dietitian, weekly. Control participants met with the research team at baseline and at 12 weeks. Independent samples t-tests and Chi-square tests were used via SPSS version 24 with significance set to p < 0.05. RESULTS: There was a significant difference between the intervention and control groups for body weight loss (7.3 ± 5.2 versus 1.2 ± 3.9 kg, respectively, p < 0.05) as well as for percent body weight loss (7.16 ± 4.4 versus 1.5 ± 4.1%, respectively, p < 0.05). Clinically significant weight loss was achieved in 9 out of 13 (69.2%) in the intervention group versus 1 out of 12 (8%) in the control group. DISCUSSION: Mobile phone-based health coaching may promote weight loss. Weekly video conferencing with education may be an applicable tool for inducing significant body weight loss in obese individuals.

Telemedicine-Based Health Coaching Is Effective for Inducing Weight Loss and Improving Metabolic Markers.

BACKGROUND: To assess the efficacy of health coaching (HC) delivered through videoconferencing (VC) to favorably change physical activity (PA), weight, and metabolic markers in adults with high body mass index (BMI). MATERIALS AND METHODS: Thirty adults (BMI ≥30 kg/m2) were randomly assigned to one of three groups: VC, in-person (IP), or control group (CG). Participants received wireless watches and weight scales to sync with their personal smartphones; recorded data were wirelessly uploaded to a secure database. Participants assigned to VC and IP received individualized HC by a multidisciplinary team (registered dietitian, exercise physiologist, and medical doctor) based on data uploaded over the 12-week intervention. Steps/day and weight loss were analyzed through analyses of covariance. RESULTS: Within- and between-group changes in weight (kg), glucose, insulin, hemoglobin A1c (HbA1c), and Homeostasis Model Assessment estimate of insulin resistance (HOMA-IR) were analyzed through analyses of variance. Weight loss was greater (p < 0.05) for VC (8.23 ± 4.5 kg; 7.7%) than IP (3.2 ± 2.6 kg; 3.4%) and CG (2.9 ± 3.9 kg; 3.3%), respectively. Steps/day were significantly higher in VC than IP at week 4 and VC was significantly higher than the CG at weeks 6, 8, 9, and 11 (p ≤ 0.05). No within- or between-group differences were found for glucose, insulin, or HbA1C. HOMA-IR decreased for VC only (p ≤ 0.05). CONCLUSIONS: Our innovative, multidisciplinary, telemedicine HC delivered through VC led to more favorable changes in weight loss, PA (steps/day), and HOMA-IR than IP or no HC. VC may be an economical approach to improve health and promote behavior change in obese adults. CLINICAL TRIAL REGISTRATION NUMBER: ClinicalTrials.gov identifier NCT03278951.

The effects of phosphatidic acid supplementation on strength, body composition, muscular endurance, power, agility, and vertical jump in resistance trained men.

BACKGROUND: Phosphatidic acid (PA) is a lipid messenger that has been shown to increase muscle protein synthesis via signaling stimulation of the mammalian target of rapamycin (mTOR). MaxxTOR® (MT) is a supplement that contains PA as the main active ingredient but also contains other synergistic mTOR signaling substances including L-Leucine, Beta-Hydroxy-Beta-Methylbutyrate (HMB), and Vitamin D3. METHODS: Eighteen healthy strength-trained males were randomly assigned to a group that either consumed MT (n = 8, 22.0 +/- 2.5 years; 175.8 +/- 11.5 cm; 80.3 +/- 15.1 kg) or a placebo (PLA) (n = 10, 25.6 +/- 4.2 years; 174.8 +/- 9.0 cm; 88.6 +/- 16.6 kg) as part of a double-blind, placebo controlled pre/post experimental design. All participants volunteered to complete the three day per week resistance training protocol for the eight week study duration. To determine the effects of MT, participants were tested on one repetition maximum (1RM) leg press strength (LP), 1RM bench press strength (BP), push-ups to failure (PU), vertical jump (VJ), pro-agility shuttle time (AG), peak power output (P), lean body mass (LBM), fat mass (FM), and thigh muscle mass (TMM). Subjects were placed and monitored on an isocaloric diet consisting of 25 protein, 50 carbohydrates, and 25 % fat by a registered dietitian. Separate two-way mixed factorial repeated measures ANOVA's (time [Pre, Post] x group [MT and PLA] were used to investigate strength, body composition, and other performance changes. Post-hoc tests were applied as appropriate. Analysis were performed via SPSS with significance at (p ≤ 0.05). RESULTS: There was a significant main effect (F(1,16) = 33.30, p < 0.001) for LBM where MT significantly increased LBM when compared to the PLA group (p < 0.001). Additionally, there was a significant main effect for LP (F(1,16) = 666.74, p < 0.001) and BP (F(1,16) = 126.36, p < 0.001) where both increased significantly more in MT than PLA group (p < 0.001). No significant differences between MT and PLA were noted for FM, TMM, VJ, AG, P, or PU. CONCLUSION: The results of this eight week trial suggest that the addition of MaxxTOR® to a 3-day per week resistance training program can positively impact LBM and strength beyond the results found with exercise alone.

Increased meal frequency attenuates fat-free mass losses and some markers of health status with a portion-controlled weight loss diet.

Increased meal frequency (MF) may be associated with improvements in blood markers of health and body composition during weight loss; however, this claim has not been validated. The purpose of the study was to determine if either a 2-meal (2 MF) or 6-meal frequency (6 MF) regimen can improve body composition and blood-based markers of health while consuming a portion-controlled equihypocaloric diet. Eleven (N=11) obese women (52 ± 7 years, 101.7 ± 22.6 kg, 39.1 ± 7.6 kg/m(2)) were randomized into treatment condition (2 MF or 6 MF) for 2 weeks, completed a 2-week washout, and alternated treatment conditions. In pre/post fashion, changes in body composition, glucose, insulin, and lipid components were measured in response to a test meal. Body mass was successfully lost (P ≤ .05) under both feeding regimens (2 MF: -2.8 ± 1.5 vs 6 MF: -1.9 ± 1.5 kg). Altering MF did not impact glucose, insulin, total cholesterol, or low-density lipoprotein cholesterol (P>.05). On average, fat-free mass (FFM) decreased by -3.3% ± 2.6% following the 2 MF condition and, on average, increased by 1.2% ± 1.7% following the 6 MF condition (P ≤ .05). Fasting high-density lipoprotein cholesterol (HDL-C) percentage increased during the 2 MF condition; this was significantly greater than that in the 6 MF condition (1.3% ± 12.2% vs 0.12% ± 10.3%) (P ≤ .05). Overall, reductions in MF (2 MF) were associated with improved HDL-C levels; but the clinical significance is not clear. Alternatively, increased MF (6 MF) did appear to favorably preserve FFM during weight loss. In conclusion, caloric restriction was effective in reducing body mass and attenuating FFM changes in body composition; however, glucose, insulin, and lipid metabolism had no significant differences between MF.