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      Creating an integrated care model for childhood obesity: a randomized pilot study utilizing telehealth in a community primary care setting : Creating an integrated care model using telehealth

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          Abstract

          <div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d2702064e267">Background</h5> <p id="P1">In an integrated care model, involving primary care providers (PCPs) and obesity specialists, telehealth may be useful for overcoming barriers to treating childhood obesity. </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d2702064e272">Objective</h5> <p id="P2">To conduct a pilot study comparing BMI changes between two arms: <i>1)</i> PCP in-person clinic visits plus obesity specialist tele-visits ( <i>PCP visits + Specialist tele-visits</i>) and <i>2)</i> PCP in-person clinic visits only ( <i>PCP visits only</i>), with ongoing tele-consultation between PCPs and obesity specialists for both arms. </p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d2702064e289">Methods</h5> <p id="P3">Patients (N=40, 10–17 years, BMI ≥95th percentile) were randomized to Group 1 or 2. Both groups had PCP visits every 3 months for 12 months. Using a cross-over protocol, Group 1 had PCP visits + Specialist tele-visits during the first 6 months and PCP visits only during the second 6 months, and Group 2 followed the opposite sequence. Each of 12 tele-visits was conducted by a dietitian or psychologist with a patient and parent. </p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d2702064e294">Results</h5> <p id="P4">Retention rates were 90% at 6 months and 80% at 12 months. BMI (z-score) decreased more for Group 1 (started with PCP visits + Specialist tele-visits) vs. Group 2 (started with PCP visits only) at 3 months (−0.11 vs. −0.05, P=0.049), following frequent tele-visits. At 6 months (primary outcome), BMI was lower than baseline within Group 1 (−0.11, P=0.0006) but not Group 2 (−0.06, P=0.08); however, decrease in BMI at 6 months did not differ between groups. After cross-over, BMI remained lower than baseline for Group 1 and dropped below baseline for Group 2. </p> </div><div class="section"> <a class="named-anchor" id="S5"> <!-- named anchor --> </a> <h5 class="section-title" id="d2702064e299">Conclusion</h5> <p id="P5">An integrated care model utilizing telehealth holds promise for treating children with obesity. </p> </div>

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          Most cited references23

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          Effects of a low-glycemic load vs low-fat diet in obese young adults: a randomized trial.

          The results of clinical trials involving diet in the treatment of obesity have been inconsistent, possibly due to inherent physiological differences among study participants. To determine whether insulin secretion affects weight loss with 2 popular diets. Randomized trial of obese young adults (aged 18-35 years; n = 73) conducted from September 2004 to December 2006 in Boston, Mass, and consisting of a 6-month intensive intervention period and a 12-month follow-up period. Serum insulin concentration at 30 minutes after a 75-g dose of oral glucose was determined at baseline as a measure of insulin secretion. Outcomes were assessed at 6, 12, and 18 months. Missing data were imputed conservatively. A low-glycemic load (40% carbohydrate and 35% fat) vs low-fat (55% carbohydrate and 20% fat) diet. Body weight, body fat percentage determined by dual-energy x-ray absorptiometry, and cardiovascular disease risk factors. Change in body weight and body fat percentage did not differ between the diet groups overall. However, insulin concentration at 30 minutes after a dose of oral glucose was an effect modifier (group x time x insulin concentration at 30 minutes: P = .02 for body weight and P = .01 for body fat percentage). For those with insulin concentration at 30 minutes above the median (57.5 microIU/mL; n = 28), the low-glycemic load diet produced a greater decrease in weight (-5.8 vs -1.2 kg; P = .004) and body fat percentage (-2.6% vs -0.9%; P = .03) than the low-fat diet at 18 months. There were no significant differences in these end points between diet groups for those with insulin concentration at 30 minutes below the median level (n = 28). Insulin concentration at 30 minutes after a dose of oral glucose was not a significant effect modifier for cardiovascular disease risk factors. In the full cohort, plasma high-density lipoprotein cholesterol and triglyceride concentrations improved more on the low-glycemic load diet, whereas low-density lipoprotein cholesterol concentration improved more on the low-fat diet. Variability in dietary weight loss trials may be partially attributable to differences in hormonal response. Reducing glycemic load may be especially important to achieve weight loss among individuals with high insulin secretion. Regardless of insulin secretion, a low-glycemic load diet has beneficial effects on high-density lipoprotein cholesterol and triglyceride concentrations but not on low-density lipoprotein cholesterol concentration. clinicaltrials.gov Identifier: NCT00130299.
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            Reduction in BMI z-score and improvement in cardiometabolic risk factors in obese children and adolescents. The Oslo Adiposity Intervention Study - a hospital/public health nurse combined treatment

            Background Weight loss and increased physical fitness are established approaches to reduce cardiovascular risk factors. We studied the reduction in BMI z-score associated with improvement in cardiometabolic risk factors in overweight and obese children and adolescents treated with a combined hospital/public health nurse model. We also examined how aerobic fitness influenced the results. Methods From 2004-2007, 307 overweight and obese children and adolescents aged 7-17 years were referred to an outpatient hospital pediatrics clinic and evaluated by a multidisciplinary team. Together with family members, they were counseled regarding diet and physical activity at biannual clinic visits. Visits with the public health nurse at local schools or at maternal and child health centres were scheduled between the hospital consultations. Fasting blood samples were taken at baseline and after one year, and aerobic fitness (VO2peak) was measured. In the analyses, 230 subjects completing one year of follow-up by December 2008 were divided into four groups according to changes in BMI z-score: Group 1: decrease in BMI z-score≥0.23, Group 2: decrease in BMI z-score≥0.1- 0.00-0.55). Results 230 participants were included in the analyses (75%). Mean (SD) BMI z-score was reduced from 2.18 (0.30) to 2.05 (0.39) (p < 0.001) in the group as a whole. After adjustment for BMI z-score, waist circumference and gender, the three groups with reduced BMI z-score had a significantly greater reduction in HOMA-IR, insulin, total cholesterol, LDL cholesterol and total/HDL cholesterol ratio than the group with increased BMI z-score. Adding change in aerobic fitness to the model had little influence on the results. Even a very small reduction in BMI z-score (group 3) was associated with significantly lower insulin, total cholesterol, LDL and total/HDL cholesterol ratio. The group with the largest reduction in BMI z-score had improvements in HOMA-IR and aerobic fitness as well. An increase in BMI z-score was associated with worsening of C-peptide and total/HDL cholesterol ratio. Conclusions Even a modest reduction in BMI z-score after one year of combined hospital/and public health nurse intervention was associated with improvement in several cardiovascular risk factors.
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              A low-glycemic index diet in the treatment of pediatric obesity.

              Conventional dietary approaches for the treatment of obesity have generally yielded disappointing results. To examine the effects of a low-glycemic index (GI) diet compared with a standard reduced-fat diet in the management of pediatric obesity. Retrospective cohort study of children attending an outpatient pediatric obesity program from September 1997 to December 1998. Academic medical center. One hundred seven obese but otherwise healthy children. Changes in body mass index (BMI [calculated as weight in kilograms divided by the square of height in meters]) and body weight from first to last clinic visit. A total of 64 patients received the low glycemic index diet and 43 received the reduced-fat diet for 4.3 vs 4.2 months' mean duration of follow-up, with 3.3 vs 3.3 mean number of visits, respectively. Body mass index (-1.53 kg/m(2) [95% confidence interval, -1.94 to -1.12] vs -0.06 kg/m(2) [-0.56 to + 0. 44], P<.001) and body weight (-2.03 kg [95% confidence interval -3. 19 to -0.88] vs +1.31 kg [ -0.11 to + 2.72], P<.001) decreased more in the low-GI group compared with the reduced-fat group. In multivariate models, these differences remained significant (P<.01) after adjustment for age, sex, ethnicity, BMI or baseline weight, participation in behavioral modification sessions, and treatment duration. Significantly more patients in the low-GI group experienced a decrease in BMI of at least 3 kg/m(2) (11 kg/m(2) [17. 2%] vs. 1 kg/m(2) [2.3%], P =.03). A low-GI diet seems to be a promising alternative to standard dietary treatment for obesity in children. Long-term randomized controlled trials of a low-GI diet in the prevention and treatment of obesity are needed.
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                Author and article information

                Journal
                Clinical Obesity
                Clin Obes
                Wiley
                17588103
                December 2016
                December 2016
                November 14 2016
                : 6
                : 6
                : 380-388
                Affiliations
                [1 ]New Balance Foundation Obesity Prevention Center, Division of Endocrinology; Boston Children's Hospital; Boston MA USA
                [2 ]Department of Psychiatry; Boston Children's Hospital; Boston MA USA
                [3 ]Wareham Pediatric Associates; Wareham, MA USA
                [4 ]Clinical Research Center; Boston Children's Hospital; Boston MA USA
                [5 ]Division of General Pediatrics; Boston Children's Hospital; Boston MA USA
                Article
                10.1111/cob.12166
                5523655
                27863024
                466f8440-fcb2-4482-96e4-db0bc717700a
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1.1

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