Weight loss in obese patients with type 2 diabetes: Effects of telemonitoring plus a diet combination – The Active Body Control (ABC) Program

Luley, Claus; Blaik, Alexandra; Reschke, Kirsten; Klose, Silke; Westphal, Sabine

doi:10.1016/j.diabres.2010.11.020

Cited by 58 publications

(95 citation statements)

References 18 publications

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“…Most studies were conducted in the United States of America (N ¼ 18) (Agras et al, 1990;Allen et al, 2013;Appel et al, 2011;Burke et al, 2012;Cadmus-Bertram et al, 2013;Chambliss et al, 2011;Goulis et al, 2004;Harvey-Berino et al, 2010;Haugen et al, 2007;Herring Jeffery et al, 2003;Johnston et al, 2012;Napolitano et al, 2013;Norman et al, 2013;Sherwood et al, 2006Sherwood et al, , 2010Shuger et al, 2011;Svetkey et al, 2008). Four studies were conducted in Australia (Blomfield et al, 2014;Collins et al, 2012;Hutchesson et al, 2014;Morgan et al, 2011), one study in China (Lin et al, 2014), one study in Japan (Tanaka et al, 2010), one study in the United Kingdom (Donaldson et al, 2014) and two studies in Germany (Luley et al, 2011;Mehring et al, 2013). The study populations consisted of overweight or obese adults.…”

Section: Study Characteristicsmentioning

confidence: 98%

“…Four studies were excluded because the control group received an intervention with technology aspect (Carter, Burley, Nykjaer, & Cade, 2013;Laing et al, 2014;Shaw et al, 2013;Steinberg, Levine, Askew, Foley, & Bennett, 2013). Twenty-seven trials met inclusion criteria (Agras, Taylor, Feldman, Losch, & Burnett, 1990;Allen, Stephens, Dennison Himmelfarb, Stewart, & Hauck, 2013;Appel et al, 2011;Blomfield et al, 2014;Burke et al, 2012;Cadmus-Bertram et al, 2013;Chambliss et al, 2011;Collins et al, 2012;Donaldson, Fallows, & Morris, 2014;Goulis et al, 2004;Harvey-Berino et al, 2010;Haugen, Tran, Wyatt, Barry, & Hill, 2007;Herring, Cruice, Bennett, Davey, & Foster, 2014;Hutchesson et al, 2014;Jeffery et al, 2003;Johnston, Massey, & DeVaneaux, 2012;Lin et al, 2014;Luley, Blaik, Reschke, Klose, & Westphal, 2011;Mehring et al, 2013;Morgan, Lubans, Collins, Warren, & Callister, 2011;Napolitano, Hayes, Bennett, Ives, & Foster, 2013;Norman, Kolodziejczyk, Adams, Patrick, & Marshall, 2013;Sherwood et al, 2006;Sherwood, Jeffery, Welsh, Vanwormer, & Hotop, 2010;Shuger et al, 2011;Svetkey et al, 2008;Tanaka, Adachi, Adachi, & Sato, 2010) and were included in this review. The total study selection process is shown in Fig.…”

Section: Study Selectionmentioning

confidence: 99%

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Technology-based interventions in the treatment of overweight and obesity: A systematic review

et al. 2015

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Section: Study Characteristicsmentioning

confidence: 98%

Section: Study Selectionmentioning

confidence: 99%

Technology-based interventions in the treatment of overweight and obesity: A systematic review

et al. 2015

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“…The strength of the evidence for short-term mortality was graded as moderate, given that results were precise, direct, and had low risk of bias (Table 2). Table 7), 4,21,49,61,62,69,[72][73][74][75][76][77][78][79][80][81][82][83] showing no clear differences between groups in hypoglycemia. The strength of evidence was graded as low, given the inconsistency and imprecision of the results (Table 2).…”

Section: Safetymentioning

confidence: 99%

Effectiveness and Safety of Patient Activation Interventions for Adults with Type 2 Diabetes: Systematic Review, Meta-Analysis, and Meta-regression

et al. 2014

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BACKGROUND: Patient activation interventions (PAIs) engage patients in care by promoting increased knowledge, confidence, and/or skills for disease self-management. However, little is known about the impact of these interventions on a wide range of outcomes for adults with type 2 diabetes (DM2), or which of these interventions, if any, have the greatest impact on glycemic control. METHODS: Electronic databases were searched from inception through November 2011. Of 16,290 citations, two independent reviewers identified 138 randomized trials comparing PAIs to usual care/control groups in adults with DM2 that reported intermediate or longterm outcomes or harms. For meta-analyses of continuous outcomes, we used a random-effects model to derive pooled weighted mean differences (WMD). For allcause mortality, we calculated the pooled odds ratio (OR) using Peto's method. We assessed statistical heterogeneity using the I 2 statistic and conducted meta-regression using a random-effects model when I 2 >50 %. A priori meta-regression primary variables included: intervention strategies, intervention leader, baseline outcome value, quality, and study duration. RESULTS: PAIs modestly reduced intermediate outcomes [A1c: WMD 0.37 %, CI 0.28-0.45 %, I 2 83 %; SBP: WMD 2.2 mmHg, CI 1.0-3.5 mmHg, I 2 72 %; body weight: WMD 2.3 lbs, CI 1.3-3.2 lbs, I 2 64 %; and LDLc: WMD 4.2 mg/dL, CI 1.5-6.9 mg/dL, I 2 64 %]. The evidence was moderate for A1c, low/very low for other intermediate outcomes, low for long-term mortality and very low for complications. Interventions had no effect on hypoglycemia (evidence: low) or short-term mortality (evidence: moderate). Higher baseline A1c, pharmacistled interventions, and longer follow-up were associated with larger A1c improvements. No intervention strategy outperformed any other in adjusted meta-regression. CONCLUSIONS: PAIs modestly improve A1c in adults with DM2 without increasing short-term mortality. These results support integration of these interventions into primary care for adults with uncontrolled glycemia, and provide evidence to insurers who do not yet cover these programs. INTRODUCTIONType 2 diabetes is common and contributes to excess morbidity, mortality, and health care costs, accounting for approximately one in five U.S. health care dollars. 1,2 Behavioral interventions are one important way to improve patient outcomes, 3 yet less is known about a subset of novel behavioral interventions focused on engaging patients in care 4-6 (often termed "patient activation" 7,8 ). Hibbard et al. 7,9 have described patient activation interventions as those that promote motivation, knowledge, and disease self-management skills. 7,9 Despite the growing evidence suggesting improved patient outcomes by engaging patients, 4-6,10 these interventions are often not integrated into practice due to uncertainty about benefit, lack of resources needed for integration, lack of health insurance coverage across insurers, and lack of clarity on the best strategies to incorporate. 11,12 Understanding the imp...

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“…The Active Body Control (ABC) programme, which combines telemonitoring and diet with online support, was reported to reduce weight, HbA1C levels and medication costs, thus making it a cost-effective intervention [33]. Home-based exercises may be just as efficacious as supervised training [35].…”

Section: Discussionmentioning

confidence: 99%

“…Interventions that support self-efficacy may be able to improve outcomes. To achieve this goal, an effective provision of tailored programmes and interactive communication with regular advice on diet and physical activity or motivational support may be necessary [33]. …”

Section: Discussionmentioning

confidence: 99%

Individual Health Management - A Comprehensive Lifestyle Counselling Programme for Health Promotion, Disease Prevention and Patient Education

et al. 2016

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Background: Epidemiological data shows globally increasing numbers of obesity and stress-related diseases. In this article, a comprehensive medical lifestyle modification programme - called Individual Health Management (IHM) - is described in detail and discussed as a promising tool to individually manage and reverse such negative health trends in patients. Methods: The IHM programme is based on a blended learning concept. It comprises a 12-week basic training phase, followed by a 9-month maintenance phase, and includes the following key features: 1) web-based and physician-led health screenings; 2) a structured 12-week basic training with a core curriculum providing tuition in behavioural self-management strategies for weight loss and stress reduction; 3) weekly supervised group sessions during the core curriculum; 4) tailoring of materials, strategies and lifestyle goals; 5) continuous self-monitoring and feedback of the achieved progress; 6) regular contact with physicians or health professionals based on either face-to-face or distant lifestyle counselling; 7) recurrent one-day health seminars to ensure the sustainability of obtained results. Conclusions: IHM is a multi-component lifestyle intervention programme to increase physical activity, to reduce calorie intake and to practice both self and stress management. Individual care, group support and a tailored web-based programme blend to achieve the desired goals. A randomised control study to evaluate IHM's effects on weight control is currently being conducted.

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Weight loss in obese patients with type 2 diabetes: Effects of telemonitoring plus a diet combination – The Active Body Control (ABC) Program

Cited by 58 publications

References 18 publications

Technology-based interventions in the treatment of overweight and obesity: A systematic review

Technology-based interventions in the treatment of overweight and obesity: A systematic review

Effectiveness and Safety of Patient Activation Interventions for Adults with Type 2 Diabetes: Systematic Review, Meta-Analysis, and Meta-regression

Individual Health Management - A Comprehensive Lifestyle Counselling Programme for Health Promotion, Disease Prevention and Patient Education

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