Using the Internet to Translate an Evidence-Based Lifestyle Intervention into Practice
ABSTRACT Despite evidence-based recommendations for addressing obesity in the clinical setting, lifestyle interventions are lacking in practice. The objective of this study was to translate an evidence-based lifestyle program into the clinical setting by adapting it for delivery via the Internet. We adapted the Diabetes Prevention Program's lifestyle curriculum to an online format, comprising 16 weekly and 8 monthly lessons, and conducted a before-and-after pilot study of program implementation and feasibility. The program incorporates behavioral tools such as e-mail prompts for online self-monitoring of diet, physical activity, and weight, and automated weekly progress reports. Electronic counseling provides further support. Physician referral, automated progress reports, and as-needed communication with lifestyle coaches integrate the intervention with clinical care. We enrolled 50 patients from a large academic general internal practice into a pilot program between November 16, 2006 and February 11, 2007. Patients with a body mass index (BMI) =25 kg/m2, at least one weight-related cardiovascular risk factor, and Internet access were eligible if referring physicians felt the lifestyle goals were safe and medically appropriate. Participants were primarily female (76%), with an average age of 51.94 (standard deviation [SD] 10.82), and BMI of 36.43 (SD 6.78). At 12 months of enrollment, 50% of participants had logged in within 30 days. On average, completers (n = 45) lost 4.79 (SD 8.55) kg. Systolic blood pressure dropped 7.33 (SD 11.36) mm Hg, and diastolic blood pressure changed minimally (+0.44 mm Hg; SD 9.27). An Internet-based lifestyle intervention may overcome significant barriers to preventive counseling and facilitate the incorporation of evidence-based lifestyle interventions into primary care.
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ABSTRACT: Background: In the United States, 86 million adults have pre-diabetes. Evidence-based interventions that are both cost effective and widely scalable are needed to prevent diabetes.01/2015; 4(1). DOI:10.2196/resprot.4046
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ABSTRACT: In this paper we present studies on biological and health effects of electromagnetic fields emphasizing the aspects related with measurement of the aggressing electromagnetic fields. A brief review of literature on electromagnetic environment is presented, together with some methods aiming to control and eliminate the electromagnetic interferences on medical instrumentation used in the acquisition of the biological signals (electroencephalography – EEG, electrocardiography – ECG). We performed analysis of electromagnetic fields in order to determine the induced current/field and the specific absorption rate in models of human body and also to correlate the exposure fields with some alterations of the biological signals acquired from a subject laid in various electromagnetic environments. The main goal of this research is to design a method for accurate identification and characterization of the aggressing electromagnetic fields on biological signals and human health.Pervasive and Mobile Sensing and Computing for Healthcare, 2013 edited by Mukhopadhyay S.C., Postolache A.O., 04/2013: chapter Acquisition and Analysis of Biomedical Signals in Case of Peoples Exposed to Electromagnetic Fields: pages 269-296; Springer-Verlag Berlin Heidelberg., ISBN: 978-3-642-32537-3
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ABSTRACT: Overweight and obesity are linked with binge eating disorder (BED). Effective interventions to significantly reduce weight, maintain weight loss and manage associated pathologies like BED are typically combined treatment options (dietetic, nutritional, physical, behavioral, cognitive-behavioral, pharmacological, surgical). Significant difficulties with regard to availability, costs, treatment adherence and long-term efficacy are present. Particularly Cognitive Behavioral Therapy (CBT) is the therapeutic approach indicated both in in-patient and in out-patient settings for BED. In recent years systemic and systemic-strategic psychotherapies have been implemented to treat patients with obesity and BED involved in familiar problems. Particularly a brief protocol for the systemic-strategic treatment of BED, using overall the strategic dialogue, has been recently developed. Moreover telemedicine, a new promising low cost method, has been used for obesity with BED in out-patient settings in order to avoid relapse after the in-patient step of treatment and to keep on a continuity of care with the involvement of the same clinical in-patient team. The comparison between CBT and Brief Strategic Therapy (BST) will be assessed in a two-arm randomized controlled clinical trial. Due to the novelty of the application of BST in BED treatment (no other RCTs including BST have been carried out), a pilot study will be carried out before conducting a large scale randomized controlled clinical trial (RCT). Both CBT and BST group will follow an in-hospital treatment (diet, physical activity, dietitian counseling, 8 psychological sessions) plus 8 out-patient telephone-based sessions of psychological support and monitoring with the same in-patient psychotherapists. Primary outcome measure of the randomized trial will be the change in the Global Index of the Outcome Questionnaire (OQ-45.2). Secondary outcome measures will be the percentage of BED patients remitted considering the number of weekly binge episodes and the weight loss. Data will be collected at baseline, at discharge from the hospital (c.a. 1 month after) and after 6-12-24 months from the end of the in-hospital treatment. Data at follow-up time points will be collected through tele-sessions. The STRATOB (Systemic and STRATegic psychotherapy for OBesity), a comprehensive two-phase stepped down program enhanced by telepsychology for the medium-term treatment of obese people with BED seeking intervention for weight loss, will shed light about the comparison of the effectiveness of the BST with the gold standard CBT and about the continuity of care at home using a low-level of telecare (mobile phones). ClinicalTrials.gov Identifier: NCT01096251Trials 05/2011; 12:114. DOI:10.1186/1745-6215-12-114 · 2.12 Impact Factor