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1.
Type 2 Diabetes Prevention Focused on Normalization of Glycemia: A Two-Year Pilot Study.
McKenzie, AL, Athinarayanan, SJ, McCue, JJ, Adams, RN, Keyes, M, McCarter, JP, Volek, JS, Phinney, SD, Hallberg, SJ
Nutrients. 2021;(3)
Abstract
The purpose of this study is to assess the effects of an alternative approach to type 2 diabetes prevention. Ninety-six patients with prediabetes (age 52 (10) years; 80% female; BMI 39.2 (7.1) kg/m2) received a continuous remote care intervention focused on reducing hyperglycemia through carbohydrate restricted nutrition therapy for two years in a single arm, prospective, longitudinal pilot study. Two-year retention was 75% (72 of 96 participants). Fifty-one percent of participants (49 of 96) met carbohydrate restriction goals as assessed by blood beta-hydroxybutyrate concentrations for more than one-third of reported measurements. Estimated cumulative incidence of normoglycemia (HbA1c <5.7% without medication) and type 2 diabetes (HbA1c ≥6.5% or <6.5% with medication other than metformin) at two years were 52.3% and 3%, respectively. Prevalence of metabolic syndrome, class II or greater obesity, and suspected hepatic steatosis significantly decreased at two years. These results demonstrate the potential utility of an alternate approach to type 2 diabetes prevention, carbohydrate restricted nutrition therapy delivered through a continuous remote care model, for normalization of glycemia and improvement in related comorbidities.
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2.
Effect of a Remotely Delivered Weight Loss Intervention in Early-Stage Breast Cancer: Randomized Controlled Trial.
Reeves, MM, Terranova, CO, Winkler, EAH, McCarthy, N, Hickman, IJ, Ware, RS, Lawler, SP, Eakin, EG, Demark-Wahnefried, W
Nutrients. 2021;(11)
Abstract
Limited evidence exists on the effects of weight loss on chronic disease risk and patient-reported outcomes in breast cancer survivors. Breast cancer survivors (stage I-III; body mass index 25-45 kg/m2) were randomized to a 12-month, remotely delivered (22 telephone calls, mailed material, optional text messages) weight loss (diet and physical activity) intervention (n = 79) or usual care (n = 80). Weight loss (primary outcome), body composition, metabolic syndrome risk score and components, quality of life, fatigue, musculoskeletal pain, menopausal symptoms, fear of recurrence, and body image were assessed at baseline, 6 months, 12 months (primary endpoint), and 18 months. Participants were 55 ± 9 years and 10.7 ± 5.0 months post-diagnosis; retention was 81.8% (12 months) and 80.5% (18 months). At 12-months, intervention participants had significantly greater improvements in weight (-4.5% [95%CI: -6.5, -2.5]; p < 0.001), fat mass (-3.3 kg [-4.8, -1.9]; p < 0.001), metabolic syndrome risk score (-0.19 [-0.32, -0.05]; p = 0.006), waist circumference (-3.2 cm [-5.5, -0.9]; p = 0.007), fasting plasma glucose (-0.23 mmol/L [-0.44, -0.02]; p = 0.032), physical quality of life (2.7 [0.7, 4.6]; p = 0.007; Cohen's effect size (d) = 0.40), musculoskeletal pain (-0.5 [-0.8, -0.2]; p = 0.003; d = 0.49), and body image (-0.2 [-0.4, -0.0]; p = 0.030; d = 0.31) than usual care. At 18 months, effects on weight, adiposity, and metabolic syndrome risk scores were sustained; however, significant reductions in lean mass were observed (-1.1 kg [-1.7, -0.4]; p < 0.001). This intervention led to sustained improvements in adiposity and metabolic syndrome risk.
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3.
Efficacy of IVRS-based mHealth intervention in reducing cardiovascular risk in metabolic syndrome: A cluster randomized trial.
Sharma, AK, Baig, VN, Ahuja, J, Sharma, S, Panwar, RB, Katoch, VM, Gupta, R
Diabetes & metabolic syndrome. 2021;(5):102182
Abstract
AIMS: Efficacy of mobile-phone based intervention for reducing cardiovascular risk in metabolic syndrome (MetSyn). METHODS We screened adults 20-60 years in 10 villages in India for MetSyn using stratified cluster sampling. Lifestyle and biochemical risk factors were assessed. International Harmonized Criteria were used for diagnosis. Villages were randomized with 5 each in control and intervention groups. Interactive voice response system (IVRS) in Hindi was developed. In intervention clusters two messages for promotion of healthy lifestyle and medical treatment were broadcast daily over 12-months and risk factors reassessed. RESULTS 1012/1200(84%) persons were screened and MetSyn diagnosed in 286(28.3%). Villages were divided into 5 control(n = 136) and 5 intervention(n = 147) clusters. Baseline characteristics in both clusters were similar. Acceptability of intervention was >60% in 80% participants. At 12 months, significantly greater participants in intervention vs control clusters had healthier lifestyle (healthy diet 28.8vs14.7%, physical activity 25.9vs13.1%, tobacco 13.7vs32.5%), anthropometry (waist circumference 85.7 ± 6.3vs88.6 ± 14.0 cm, body mass index 21.9 ± 2.8vs23.1 ± 2.9 kg/m2), systolic BP 123.6 ± 7.7vs128.6 ± 14.1 mmHg, fasting glucose 95.6 ± 19.4vs109.4 ± 43.7 mg/dl, cholesterol 175.5 ± 36.5vs186.4 ± 43.3 mg/dl, and triglycerides 147.6 ± 48.3vs159.5 ± 60.7 mg/dl (p < 0.01). Prevalence of metabolic syndrome declined in intervention group by 22.3%vs3.9%, p < 0.001). CONCLUSION An interactive voice response system based technology significantly reduced multiple cardiovascular risk factors and prevalence of metabolic syndrome.
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4.
Effects of the e-Motivate4Change Program on Metabolic Syndrome in Young Adults Using Health Apps and Wearable Devices: Quasi-Experimental Study.
Lee, JS, Kang, MA, Lee, SK
Journal of medical Internet research. 2020;(7):e17031
Abstract
BACKGROUND The health behaviors of young adults lag behind those of other age groups, and active health management is needed to improve health behaviors and prevent chronic diseases. In addition, developing good lifestyle habits earlier in life could reduce the risk of metabolic syndrome (MetS) later on. OBJECTIVE The aim of this study is to investigate the effects of the e-Motivate4Change program, for which health apps and wearable devices were selected based on user needs. The program was developed for the prevention and management of MetS in young adults. METHODS This experimental study used a nonequivalent control group. In total, 59 students from 2 universities in Daegu, Korea participated in the study (experimental group n=30; control group n=29). Data were collected over 4 months, from June 1 to September 30, 2018. The experimental group received a 12-week e-Motivate4Change program intervention, and the control group received MetS education and booklets without the e-Motivate4Change program intervention. RESULTS After the program, the experimental group had significantly higher scores for health-related lifestyle (t=3.86; P<.001) and self-efficacy (t=6.00; P<.001) than did the control group. Concerning BMI, there were significant effects by group (F=1.01; P<.001) and for the group × time interaction (F=4.71; P=.034). Concerning cholesterol, there were significant main effects for group (F=4.32; P=.042) and time (F=9.73; P<.001). CONCLUSIONS The e-Motivate4Change program effectively improved participants' health-related lifestyle scores and self-efficacy, and significantly reduced their BMI and cholesterol levels. The program can be used to identify and prevent MetS among young adults.
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5.
The effects of mobile health interventions on lipid profiles among patients with metabolic syndrome and related disorders: A systematic review and meta-analysis of randomized controlled trials.
Akbari, M, Lankarani, KB, Naghibzadeh-Tahami, A, Tabrizi, R, Honarvar, B, Kolahdooz, F, Borhaninejad, V, Asemi, Z
Diabetes & metabolic syndrome. 2019;(3):1949-1955
Abstract
OBJECTIVE The current systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to summarize the effect of mobile health (m-health) interventions on lipid profiles among patients with metabolic syndrome and related disorders. METHODS Cochrane Library, EMBASE, PubMed, and Web of Science databases were searched to indentify the relevant randomized clinical trials published up April 30th, 2018. Two reviewers examined study eligibility, extracted data, and assessed risk of bias of included clinical trials, individually. Heterogeneity was measured using I-square (I2) statistic and Cochran's Q test. Data were pooled the standardized mean difference (SMD) effect size by the random-effect model. RESULTS 18 trials of 1681 citations were identified to be appropriate for the current meta-analysis. Findings random-effects model indicated that m-health interventions significantly decreased total- (SMD -0.54; 95% CI, -1.05, -0.03) and LDL-cholesterol levels (SMD -0.66; 95% CI, -1.18, -0.15). M-health interventions had no significant effect on triglycerides (SMD -0.14; 95% CI, -0.56, 0.28) and HDL-cholesterol levels (SMD -0.35; 95% CI, -0.81, 0.11). CONCLUSION Overall, the current meta-analysis demonstrated that m-health interventions resulted in an improvement in total- and LDL-cholesterol, but did not affect triglycerides and HDL-cholesterol levels.
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6.
Mobile health applications for chronic diseases: A systematic review of features for lifestyle improvement.
Debon, R, Coleone, JD, Bellei, EA, De Marchi, ACB
Diabetes & metabolic syndrome. 2019;(4):2507-2512
Abstract
AIMS: To identify mobile health applications with features for improving the lifestyle of patients with chronic diseases. METHODS We performed a systematic literature review between November 2017 and May 2018 on the Virtual Health Library's interface. A total of 816 records were identified. In the selection process, 24 studies met inclusion criteria for analysis. Study characteristics were extracted and synthesized. RESULTS We identified applications with similar functionalities, such as the use of reminders and medical monitoring. Most of them addressed the treatment of conditions related to an already diagnosed chronic disease, including Diabetes Mellitus, Hypertension, Cardiovascular Diseases, Asthma, Neoplasms, and chronic conditions in general. The main lifestyle changes were the reduction of body weight, promotion of healthy eating, and adherence to the regular practice of physical exercises. CONCLUSIONS Technology can facilitate health care with simple messages and alerts that aid in adherence to treatment. Changes in lifestyle with the use of applications are remarkable. Benefits may be even greater if more applications address the importance of prevention and not just treatment.
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7.
Long-Term Follow-Up of the Telemonitoring Weight-Reduction Program "Active Body Control".
Stumm, G, Blaik, A, Kropf, S, Westphal, S, Hantke, TK, Luley, C
Journal of diabetes research. 2016;:3798729
Abstract
The Active Body Control (ABC) weight-reduction program is based on telemonitoring of physical activity and nutrition together with telecoaching by weekly counseling letters sent by post or by e-mail. The study presented here reports the results of a 1-year follow-up of 49 patients with the metabolic syndrome who had lost weight with the aid of the ABC program in the preceding year. The weight regain after the second year in patients not receiving any further care ("ABC discontinued" group; n = 24) and the potential benefit of continuing with the ABC program with monthly counseling letters ("ABC continued" group; n = 25) were investigated. The relative weight changes after the first year had been, respectively, -13.4% and -11.4% in the "ABC discontinued" and "ABC continued" groups, and after the second year they decreased by, respectively, 4.4 and 2.8%. However, this difference in weight regains between the two groups was not statistically significant. It is concluded that three-quarters of the weight loss after 1 year is maintained after the second year. The decision whether to continue with the ABC program after 1 year should be made individually.
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8.
Effectiveness of a telemedicine programme for patients with metabolic syndrome.
López-Torres, J, Rabanales, J, Simarro, MJ, ,
Technology and health care : official journal of the European Society for Engineering and Medicine. 2015;(2):161-9
Abstract
BACKGROUND There is a high prevalence of metabolic syndrome in Western societies, and it is therefore an example of chronic disease whose follow-up could be enhanced by telemedicine. OBJECTIVE The objective of this study was to assess the effectiveness of a telemedicine programme for the follow-up and control of patients with metabolic syndrome in a primary-care setting. METHODS Semi-experimental study in which 82 patients with metabolic syndrome were included in a telemedicine programme and compared to 82 patients routinely followed up at health-care facilities. The programme consisted of the teletransmission of analytical parameters via the PITES technological platform for chronic and dependent patients. Other study variables were lifestyle, treatment compliance, perceived health status and satisfaction with the programme. RESULTS Follow-up showed that 68 patients (82.9%) continued in the programme after 6 months and 45 (54.9%) after one year, with a mean stay of 39.7 weeks. Comparison of the parameters obtained for the telemedicine and control-group patients indicated that the former registered significantly lower mean values for systolic blood pressure (125.5 ± 10.6 SD vs. 136.7 ± 12.0 SD), diastolic blood pressure (81.0 ± 6.3 SD vs. 84.0 ± 6.8 SD), total cholesterol (177.4 ± 34.5 SD vs. 202.4 ± 31.7 SD) and cLDL (106.0 ± 28.1 SD vs. 121.3 ± 30.6 SD). By the end of follow-up, the health status scores of the patients monitored by telemedicine had risen significantly (69.2 vs. 64.2; p=0.04), and 86.6% stated that they were satisfied. CONCLUSIONS Telemedicine allows for better control of some of the defining parameters of metabolic syndrome than is achieved by routine clinical practice. Teletransmission is viable and satisfactory, and constitutes a novel contribution to the clinical management of these patients.
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9.
Weight loss by telemonitoring of nutrition and physical activity in patients with metabolic syndrome for 1 year.
Luley, C, Blaik, A, Götz, A, Kicherer, F, Kropf, S, Isermann, B, Stumm, G, Westphal, S
Journal of the American College of Nutrition. 2014;(5):363-74
Abstract
OBJECTIVE Mobile technology can improve lifestyle programs, but the monitoring techniques and carer feedback need to be optimized. To this end, we investigated the efficacy of telemonitoring physical activity and nutrition over 12 months in patients with metabolic syndrome in a randomized, parallel-group, open trial. METHODS Screening all over Germany yielded 184 patients with metabolic syndrome. All patients attended a single 2-hour instruction meeting in their region concerning a combination diet and the importance of physical activity. Thereafter they were randomized into a control group (controls, n = 62) or one of 2 different intervention groups. Both intervention groups were issued accelerometers, which measured physical activity, recorded daily weight and calorie intake, and transmitted these data to a central server for use by patient carers. In the Active Body Control Program of University of Magdeburg (ABC) intervention group (n = 60), information and motivation was ensured by weekly letters. In the 4sigma telephone coaching (4S) intervention group (n = 58), this was accomplished by monthly telephone calls from the carers. Clinical and biochemical data for all patients were collected at 0, 4, 8, and 12 months without any regular face-to-face meetings between patients and carers. The primary endpoint was weight loss and the secondary endpoint was the presence of metabolic syndrome. RESULTS After 12 months the dropout rates in the control, 4S, and ABC groups were respectively 35%, 17%, and 18%. The adjusted relative weight losses after 12 months were respectively 3.7%, 8.6%, and 11.4% (all p < 0.000 versus baseline). ABC was more effective than 4S (p = 0.041); 43% of the patients completing the study in the ABC group lost more than 15% of their baseline weight. The diagnosis of metabolic syndrome was no longer applicable in 58% of the cases in the ABC group, in 41% of the 4S group, and in 33% of the controls. CONCLUSIONS Telemonitoring of physical activity and nutrition markedly improves weight loss and markers of metabolic syndrome.