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Regular Consumption of Lipigo® Promotes the Reduction of Body Weight and Improves the Rebound Effect of Obese People Undergo a Comprehensive Weight Loss Program.
Valero-Pérez, M, Bermejo, LM, López-Plaza, B, García, MA, Palma-Milla, S, Gómez-Candela, C
Nutrients. 2020;(7)
Abstract
UNLABELLED Obesity is a global public health problem. OBJECTIVE To evaluate the effect of the regular consumption of the product Lipigo® on body weight and rebound effect on overweight/obese subjects undergoing a comprehensive weight loss program. METHODS A randomized, parallel, double-blind, placebo-controlled clinical trial was conducted with male and female subjects presenting a BMI 25-39.9 kg/m2. All subjects underwent a comprehensive weight loss program (WLP) for 12 weeks, which included an individualized hypocaloric diet, physical activity recommendations, nutritional education seminars, and three times a day consumption of the product Lipigo® or Placebo. After-WLP, subjects continued the treatment for 9 months to assess rebound effect. Body weight (BW), BMI, and body composition were measured at the beginning and the end of the WLP, and in the follow-up. RESULTS A total of 120 subjects (85% women) 49.0 ± 9.5 years old and with a BW of 81.57 ± 13.26 kg (BMI 31.19 ± 3.44 kg/m2) were randomized and 73 subjects finished the study. At the end of the WLP, there was a tendency toward reduced BW (p = 0.093), BMI (p = 0.063), and WC (p = 0.059) in the treated group. However, subjects with obesity type 1 (OB1) from the treated group significantly reduced body weight (-5.27 ± 2.75 vs. -3.08 ± 1.73 kg; p = 0.017) and BMI (-1.99 ± 1.08 vs. -1.09 ± 0.55 kg/m2; p = 0.01) compared with placebo. They also presented a minor rebound effect after 9 months with product consumption (-4.19 ± 3.61 vs. -1.44 ± 2.51 kg; p = 0.026), minor BMI (-1.61 ± 1.43 vs. -0.52 ± 0.96 kg/m2; p = 0.025) and tended to have less fat-mass (-3.44 ± 2.46 vs. -1.44 ± 3.29 kg; p = 0.080) compared with placebo. CONCLUSIONS The regular consumption of the product Lipigo® promotes the reduction of body weight and reduces the rebound effect of obese people after 52 weeks (12 months), mainly in obesity type 1, who undergo a comprehensive weight loss program.
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Effect of an Online Weight Management Program Integrated With Population Health Management on Weight Change: A Randomized Clinical Trial.
Baer, HJ, Rozenblum, R, De La Cruz, BA, Orav, EJ, Wien, M, Nolido, NV, Metzler, K, McManus, KD, Halperin, F, Aronne, LJ, et al
JAMA. 2020;(17):1737-1746
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Abstract
IMPORTANCE Online programs may help with weight loss but have not been widely implemented in routine primary care. OBJECTIVE To compare the effectiveness of a combined intervention, including an online weight management program plus population health management, with the online program only and with usual care. DESIGN, SETTING, AND PARTICIPANTS Cluster randomized trial with enrollment from July 19, 2016, through August 10, 2017, at 15 primary care practices in the US. Eligible participants had a scheduled primary care visit and were aged 20 to 70 years, had a body mass index between 27 and less than 40, and had a diagnosis of hypertension or type 2 diabetes. Follow-up ended on May 8, 2019. INTERVENTIONS Participants in the usual care group (n = 326) were mailed general information about weight management. Participants in the online program only group (n = 216) and the combined intervention group (n = 298) were registered for the online program. The participants in the combined intervention group also received weight-related population health management, which included additional support from nonclinical staff who monitored their progress in the online program and conducted periodic outreach. MAIN OUTCOMES AND MEASURES The primary outcome was weight change at 12 months based on measured weights recorded in the electronic health record. Weight change at 18 months was a secondary outcome. RESULTS Among the 840 participants who enrolled (mean age, 59.3 years [SD, 8.6 years]; 60% female; 76.8% White), 732 (87.1%) had a recorded weight at 12 months and the missing weights for the remaining participants were imputed. There was a significant difference in weight change at 12 months by group with a mean weight change of -1.2 kg (95% CI, -2.1 to -0.3 kg) in the usual care group, -1.9 kg (95% CI, -2.6 to -1.1 kg) in the online program only group, and -3.1 kg (95% CI, -3.7 to -2.5 kg) in the combined intervention group (P < .001). The difference in weight change between the combined intervention group and the usual care group was -1.9 kg (97.5% CI, -2.9 to -0.9 kg; P < .001) and the difference between the combined intervention group and the online program only group was -1.2 kg (95% CI, -2.2 to -0.3 kg; P = .01). At 18 months, the mean weight change was -1.9 kg (95% CI, -2.8 to -1.0 kg) in the usual care group, -1.1 kg (95% CI, -2.0 to -0.3 kg) in the online program only group, and -2.8 kg (95% CI, -3.5 to -2.0 kg) in the combined intervention group (P < .001). CONCLUSIONS AND RELEVANCE Among primary care patients with overweight or obesity and hypertension or type 2 diabetes, combining population health management with an online program resulted in a small but statistically significant greater weight loss at 12 months compared with usual care or the online program only. Further research is needed to understand the generalizability, scalability, and durability of these findings. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02656693.
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Weight loss before total joint arthroplasty using a remote dietitian and mobile app: study protocol for a multicenter randomized, controlled trial.
Seward, MW, Antonelli, BJ, Giunta, N, Iorio, R, Fitz, W, Lange, JK, Shah, VM, Chen, AF
Journal of orthopaedic surgery and research. 2020;(1):531
Abstract
BACKGROUND The months prior to elective surgery may present an opportunity for patients to initiate behavior changes that will simultaneously ready them for surgery and improve their overall health status. An upcoming elective total joint arthroplasty (TJA) may serve as motivation for patients with severe obesity (body mass index [BMI]> 40 kg/m2) to lose weight, as it may optimize clinical outcomes following TJA and help them become eligible for TJA since some surgeons use a BMI of 40 kg/m2 as a cut-off for offering surgery in an effort to optimize outcomes. METHODS The purpose of this multicenter randomized, controlled trial is to assess the feasibility and efficacy of a 12-week remote dietitian (RD) supervised dietary and physical activity weight loss intervention and mobile app for 60 patients with severe obesity prior to undergoing TJA. Intervention participants will receive access to a smartphone app and connect with an RD who will contact these participants weekly or bi-weekly via video calls for up to nine video calls. Together, participants and RDs will set goals for lifestyle modifications, and RDs will check on progress towards achieving these goals using in-app tools such as food logs and text messages between video calls. All patients will be encouraged to lose at least 20 pounds with a goal BMI < 40 kg/m2 after 12 weeks. Individuals randomized to the control group will receive clinical standard of care, such as nutritionist and/or physical therapy referrals. Outcome and demographic data will be collected from blood serology, chart review, mobile app user data, pre- and postintervention surveys, and phone interviews. The primary outcome measure will be weight change from baseline. Secondary outcome measures will include percentage of patients eligible to undergo TJA, number of sessions completed with dietitians, self-reported global health status (PROMIS Global Health scale), self-reported joint-specific pain and function (Knee injury and Osteoarthritis Outcome Score (KOOS) or Hip disability and Osteoarthritis Outcome Score (HOOS)), and serologies such as hemoglobin A1c, total lymphocyte count, albumin, and transferrin. Qualitative responses transcribed from phone interviews about the intervention will also be analyzed. DISCUSSION This will be the first study to assess pre-operative weight loss in patients with severe obesity anticipating orthopaedic surgery using an RD and mobile app intervention aimed at helping patients become eligible for TJA. TRIAL REGISTRATION Registered on 1 April 2020 at Clincialtrials.gov. Trial number is NCT04330391 .
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Personalized Web-Based Weight Loss Behavior Change Program With and Without Dietitian Online Coaching for Adults With Overweight and Obesity: Randomized Controlled Trial.
Beleigoli, A, Andrade, AQ, Diniz, MF, Ribeiro, AL
Journal of medical Internet research. 2020;(11):e17494
Abstract
BACKGROUND The effect of computer- or human-delivered personalized feedback on the effectivess of web-based behavior change platforms for weight loss is unclear. OBJECTIVE We aimed to compare the effectiveness of a web-based behavior change intervention personalized through either computerized or human-delivered feedback with a nonpersonalized intervention in promoting weight loss in community-based adults with overweight or obesity. METHODS This pragmatic, 3-group, parallel-arm, randomized trial recruited students and staff in a Brazilian public university who were aged 18 to 60 years, had a BMI of ≥25 kg/m2, and were not pregnant. Participants were allocated to one of 3 groups: platform only (24-week behavior change program delivered using a web platform with personalized computer-delivered feedback), platform plus coaching (same 24-week web-based behavior change program plus 12 weeks of personalized feedback delivered online by a dietitian), or waiting list (nonpersonalized dietary and physical activity recommendations delivered through an e-booklet and videos). Self-reported weight at 24 weeks was the primary outcome. Changes in dietary and physical activity habits within 24 weeks were secondary outcomes. RESULTS Among the 1298 participants, 375 (28.89%) were lost to follow-up. In the intention-to-treat analysis, the platform-only and platform plus coaching groups had greater mean weight loss than the waiting-list group at 24 weeks (-1.08 kg, 95% CI -1.41 to -0.75 vs -1.57 kg, 95% CI -1.92 to -1.22 vs -0.66 kg, 95% CI -0.98 to -0.34, respectively). The platform-only and platform plus coaching groups, compared with the waiting list group, had a greater increase in the consumption of vegetables (3%, 95% CI 1% to 6% vs 5%, 95% CI 2% to 8% vs -3%, 95% CI -5% to 0%) and fruits (9%, 95% CI 6% to 12% vs 6%, 95% CI 2% to 9% vs 2%, 95% CI 0% to 6%) and a larger reduction in ultraprocessed food intake (-18%, 95% CI -23% to -13% vs -25%, 95% CI -30% to -20% vs -12%, 95% CI -16% to -8%). Changes in physical activity did not differ across the groups. Engagement was higher in the platform plus coaching group than in the platform-only group (7.6 vs 5.2 completed sessions; P=.007). Longer usage of the platform was associated with clinically meaningful (≥5%) weight loss (odds ratio 1.02, 95% CI 1.01 to 1.04). CONCLUSIONS The web-based behavior change programs with computer- and human-delivered personalized feedback led to greater, albeit small-magnitude, weight loss within 24 weeks. Improvement in multiple dietary habits, but not physical activity, were also greater in the personalized programs compared with the nonpersonalized one. The human-delivered personalized feedback by the online dietitian coach increased user engagement with the program and was associated with a significantly higher chance of clinically meaningful weight loss. TRIAL REGISTRATION ClinicalTrials.gov NCT03435445; https://clinicaltrials.gov/ct2/show/NCT03435445. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/10.1186/s12889-018-5882-y.
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Use of Technology-Based Interventions in the Treatment of Patients with Overweight and Obesity: A Systematic Review.
Rumbo-Rodríguez, L, Sánchez-SanSegundo, M, Ruiz-Robledillo, N, Albaladejo-Blázquez, N, Ferrer-Cascales, R, Zaragoza-Martí, A
Nutrients. 2020;(12)
Abstract
Introduction: Obesity is one of the most important health problems worldwide. The prevalence of obesity has increased dramatically in the last decades and is now recognized as a global epidemic. Given the dramatic consequences of obesity, new intervention approaches based on the potential of technologies have been developed. Methods: We conducted a systematic review of studies using PubMed, ScienceDirect, Cochrane Library, and MedLine databases to assess how different types of technologies may play an important role on weight loss in obese patients. Results: Forty-seven studies using different types of technologies including smartphones, app, websites, virtual reality and personal digital assistant were included in the review. About half of interventions (47%) found a significant effect of the technology-based interventions for weight lost in obese patients. The provision of feedback could also be effective as a complement to interventions carried out using technology to promote weight loss. Conclusions: The use of technologies can be effective to increase weight loss in patients with obesity improving treatment adherence through self-monitoring.
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Changes in weight control behaviors and hedonic hunger in a commercial weight management program adapted for individuals with type 2 diabetes.
Schulte, EM, Tuerk, PW, Wadden, TA, Garvey, WT, Weiss, D, Hermayer, KL, Aronne, LJ, Becker, LE, Fujioka, K, Miller-Kovach, K, et al
International journal of obesity (2005). 2020;(5):990-998
Abstract
BACKGROUND A WW (formerly Weight Watchers) program adapted for persons with type 2 diabetes mellitus (T2DM) previously was found to be more effective than standard care (SC) intervention for weight loss, improved glycemic control, and weight- and diabetes-related quality of life measures. With data from the same national trial, this study examined whether WW adapted for persons with T2DM also increased engagement in weight control behaviors and decreased hedonic hunger, each of which could contribute to improved diabetes management. INTERVENTION AND METHODS Individuals with T2DM (n = 563) and overweight or obesity participated in a 12-month, 16-site, randomized trial of WW with diabetes counseling or SC. Hierarchical linear modeling (HLM) evaluated whether 12-month changes in weight control behaviors (Eating Behavior Inventory; EBI) and hedonic hunger (Power of Food Scale; PFS) differed by treatment condition. If a significant treatment effect was found, 12-month changes in EBI/PFS were regressed on 12-month changes in HbA1c and percent weight loss to explore potential treatment differences in these associations. RESULTS EBI scores increased significantly over the 12-months (p < 0.001), with greater improvements in WW than SC (p < 0.001). PFS decreased significantly in the 12-months (p < 0.001), with no differences between treatment groups (p = 0.15). HLM analyses that followed up on the significant treatment effect for 12-month change in EBI revealed no significant differences by treatment condition for the relationship between change in EBI scores and change in HbA1c (p = 0.14) or percent weight loss (p = 0.32). Across all participants, 12-month improvements in EBI and PFS were related to improved HbA1c (r = 0.22; -0.13, respectively) and greater percent weight loss (r = 0.41; -0.18, respectively) (ps < 0.01). CONCLUSIONS WW with diabetes counseling produced greater engagement in weight control behaviors in those with T2DM than did SC. Across both groups, improved weight control behaviors and hedonic hunger were related to improved glycemic control and weight loss.
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Which behaviour change techniques within interventions to prevent weight gain and/or initiate weight loss improve adiposity outcomes in young adults? A systematic review and meta-analysis of randomized controlled trials.
Ashton, LM, Sharkey, T, Whatnall, MC, Haslam, RL, Bezzina, A, Aguiar, EJ, Collins, CE, Hutchesson, MJ
Obesity reviews : an official journal of the International Association for the Study of Obesity. 2020;(6):e13009
Abstract
Young adulthood is associated with the highest rate of weight gain compared with any other adult age group. This review evaluates the effectiveness of interventions with adiposity outcomes among young adults and identifies which behaviour change techniques (BCTs) are most effective. BCT utilization was assessed using Michie's 93-item BCT Taxonomy v1. Six electronic databases were searched for randomized controlled trials assessing change in adiposity in young adults (17-35 years) until December 2019; identifying 21,582 articles. Fifty-one studies were included. Meta-analyses for weight (n=19 studies), body mass index (BMI) (n=20 studies), and waist circumference (n=10 studies) demonstrated no significant between-group differences at ≤3 or >3 months. There were no differences between interventions focusing on weight loss or weight-gain prevention. Narrative synthesis showed significant between-group differences in weight change, favouring the intervention in 14/43 (33%) studies. In studies assessing BMI and waist circumference, this was 31% (11/36) and 25% (4/16). Two BCTs had a percentage effectiveness ratio >50% in weight loss interventions; social support (unspecified) and self-monitoring behaviour, and one in weight-gain prevention interventions; and goal-setting (outcome). Findings demonstrate initial potential for these types of BCTs and can help build cumulative evidence towards delivering effective, cost-efficient, and replicable interventions.
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Effects of Pistachio Consumption in a Behavioral Weight Loss Intervention on Weight Change, Cardiometabolic Factors, and Dietary Intake.
Rock, CL, Zunshine, E, Nguyen, HT, Perez, AO, Zoumas, C, Pakiz, B, White, MM
Nutrients. 2020;(7)
Abstract
Epidemiological studies have linked regular nut consumption with lower body mass index and reduced likelihood of weight gain in adulthood. Nuts can displace other foods in the diet, and thus, promote a healthier dietary pattern. The purpose of this study was to examine the effect of pistachio nut consumption in overweight/obese adults. This randomized controlled study enrolled non-diabetic overweight/obese adults (n = 100) assigned to a 4-month behavioral weight loss intervention only group (controls) or also prescribed 1.5 oz/day (42 g/day) of pistachios (pistachio group). Outcomes were change in body weight, cardiometabolic factors, and dietary intake. Percent weight change was similar in the two groups (-5.1 [0.5] (mean [SE])% in the control group and -4.9 [0.6]% in the pistachio group, and body mass index (BMI) and waist circumference were reduced in both groups (time effect p ≤ 0.05). The pistachio group (but not the control group) exhibited a significant reduction in both systolic and diastolic blood pressure (time effect p = 0.01). Plasma alpha-carotene, beta-carotene, and lutein concentrations increased significantly in the pistachio group (time effect p < 0.05). Pistachio consumption was associated with increased dietary fiber intake and decreased consumption of sweets. Regular consumption of pistachios was associated with a comparable degree of weight loss, and similar reductions in BMI and waist circumference, in overweight/obese men and women compared to controls, and favorable changes in the diet, in the context of a behavioral weight loss intervention.
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Effects of Lifestyle Modification Interventions to Prevent and Manage Child and Adolescent Obesity: A Systematic Review and Meta-Analysis.
Salam, RA, Padhani, ZA, Das, JK, Shaikh, AY, Hoodbhoy, Z, Jeelani, SM, Lassi, ZS, Bhutta, ZA
Nutrients. 2020;(8)
Abstract
The objective of this review was to assess the impact of lifestyle interventions (including dietary interventions, physical activity, behavioral therapy, or any combination of these interventions) to prevent and manage childhood and adolescent obesity. We conducted a comprehensive literature search across various databases and grey literature without any restrictions on publication, language, or publication status until February 2020. We included randomized controlled trials and quasi-experimental studies from both high income countries (HIC) and low-middle-income countries (LMICs). Participants were children and adolescents from 0 to 19 years of age. Studies conducted among hospitalized children and children with any pre-existing health conditions were excluded from this review. A total of 654 studies (1160 papers) that met the inclusion criteria were included in this review. A total of 359 studies targeted obesity prevention, 280 studies targeted obesity management, while 15 studies targeted both prevention and management. The majority of the studies (81%) were conducted in HICs, 10% of studies were conducted in upper middle income countries, while only 2% of the studies were conducted in LMICs. The most common setting for these interventions were communities and school settings. Evidence for the prevention of obesity among children and adolescents suggests that a combination of diet and exercise might reduce the BMI z-score (MD: -0.12; 95% CI: -0.18 to -0.06; 32 studies; 33,039 participants; I2 93%; low quality evidence), body mass index (BMI) by 0.41 kg/m2 (MD: -0.41 kg/m2; 95% CI: -0.60 to -0.21; 35 studies; 47,499 participants; I2 98%; low quality evidence), and body weight (MD: -1.59; 95% CI: -2.95 to -0.23; 17 studies; 35,023 participants; I2 100%; low quality evidence). Behavioral therapy alone (MD: -0.07; 95% CI: -0.14 to -0.00; 19 studies; 8569 participants; I2 76%; low quality evidence) and a combination of exercise and behavioral therapy (MD: -0.08; 95% CI: -0.16 to -0.00; 9 studies; 7334 participants; I2 74%; low quality evidence) and diet in combination with exercise and behavioral therapy (MD: -0.13; 95% CI: -0.25 to -0.01; 5 studies; 1806 participants; I2 62%; low quality evidence) might reduce BMI z-score when compared to the control group. Evidence for obesity management suggests that exercise only interventions probably reduce BMI z-score (MD: -0.13; 95% CI: -0.20 to -0.06; 12 studies; 1084 participants; I2 0%; moderate quality evidence), and might reduce BMI (MD: -0.88; 95% CI: -1.265 to -0.50; 34 studies; 3846 participants; I2 72%) and body weight (MD: -3.01; 95% CI: -5.56 to -0.47; 16 studies; 1701 participants; I2 78%; low quality evidence) when compared to the control group. and the exercise along with behavioral therapy interventions (MD: -0.08; 95% CI: -0.16 to -0.00; 8 studies; 466 participants; I2 49%; moderate quality evidence), diet along with behavioral therapy interventions (MD: -0.16; 95% CI: -0.26 to -0.07; 4 studies; 329 participants; I2 0%; moderate quality evidence), and combination of diet, exercise and behavioral therapy (MD: -0.09; 95% CI: -0.14 to -0.05; 13 studies; 2995 participants; I2 12%; moderate quality evidence) also probably decreases BMI z-score when compared to the control group. The existing evidence is most favorable for a combination of interventions, such as diet along with exercise and exercise along with behavioral therapy for obesity prevention and exercise alone, diet along with exercise, diet along with behavioral therapy, and a combination of diet, exercise, and behavioral therapy for obesity management. Despite the growing obesity epidemic in LMICs, there is a significant dearth of obesity prevention and management studies from these regions.
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Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis.
Cavero-Redondo, I, Martinez-Vizcaino, V, Fernandez-Rodriguez, R, Saz-Lara, A, Pascual-Morena, C, Álvarez-Bueno, C
Nutrients. 2020;(7)
Abstract
Alongside an increase in obesity, society is experiencing the development of substantial technological advances. Interventions that are easily scalable, such as lifestyle (including diet and physical activity) mobile health (mHealth) self-monitoring, may be highly valuable in the prevention and treatment of excess weight. Thus, the aims of this systematic review and meta-analysis were to estimate the following: (i) the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss and (ii) the adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring. MEDLINE via PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and the Web of Science databases were systematically searched. The DerSimonian and Laird method was used to estimate the effect of and adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss. Twenty studies were included in the systematic review and meta-analysis, yielding a moderate decrease in weight and higher adherence to intervention of behavioral weight management interventions using lifestyle mHealth self-monitoring, which was greater than other interventions. Subgroup analyses showed that smartphones were the most effective mHealth approach to achieve weight management and the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring was more pronounced when compared to usual care and in the short-term (less than six months). Furthermore, behavioral weight management interventions using lifestyle mHealth self-monitoring showed a higher adherence than: (i) recording on paper at any time and (ii) any other intervention at six and twelve months.