Skip to main content
Hauptrubriken
CME Facharzt-Training Webinare Zeitschriften Bücher e.Medpedia Podcast
Service
Jobbörse Info & Hilfe
Fachgebiete
Anästhesiologie Allgemeinmedizin Arbeitsmedizin Augenheilkunde Chirurgie Dermatologie Gynäkologie und Geburtshilfe HNO Innere Medizin Kardiologie Neurologie Onkologie und Hämatologie Orthopädie und Unfallchirurgie Pädiatrie Pathologie Psychiatrie Radiologie Rechtsmedizin Urologie Zahnmedizin
Themen
Klimawandel und Gesundheit Neues aus dem Markt COVID-19 Praxis und Beruf Seltene Erkrankungen GOÄ & EBM Panorama
Sammlungen
Kasuistiken Algorithmen & Infografiken Blickdiagnosen Arthropedia FlapFinder (für Dermatochirurgen) Videos Kongressberichterstattung Medizin für Apothekerinnen und Apotheker Für Ärztinnen und Ärzte in Weiterbildung Für Medizinstudierende
Erweiterte Suche
Anmelden
nach oben
Translational Behavioral Medicine
Erschienen in: Translational Behavioral Medicine 1/2015

01.03.2015 | Original Research

Virtual small groups for weight management: an innovative delivery mechanism for evidence-based lifestyle interventions among obese men

verfasst von: Kristen M. J. Azar, R.N., B.S.N., M.S.N/.M.P.H., Magi Aurora, B.S., Elsie J. Wang, M.S., Amy Muzaffar, M.D., Alice Pressman, Ph.D., M.S., Latha P. Palaniappan, M.D., M.S.

Erschienen in: Translational Behavioral Medicine | Ausgabe 1/2015

Einloggen, um Zugang zu erhalten

Abstract

While group interventions for weight management have been shown to be efficacious, adherence is often low, especially among men. This pilot study seeks to test whether group interventions using web-based group video conferencing (VC) technology is effective for weight loss. We adapted a 12-week curriculum based on the Diabetes Prevention Program, and delivered this intervention to a small group of men (BMI ≥30 kg/m2), using web-based group VC. Participants were randomized to intervention (n = 32) or delayed-intervention control group (n = 32). The intervention group lost 3.5 % (95 % CI 2.1 %, 4.9 %) of their initial body weight. Difference in mean weight loss was 3.2 kg (p = 0.0002) and mean BMI decrease was 1.0 kg/m2 (p = 0.0010) between the two groups. Virtual small groups may be an effective means of allowing face-to-face group interaction, while overcoming some barriers to access.
Literatur
1.
Flegal KM et al. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA. 2012; 307(5): 491-7.CrossRefPubMed
2.
Rao G, Kirley K. The future of obesity treatment: comment on “integrating technology into standard weight loss treatment: a randomized controlled trial”. JAMA Int Med. 2013; 173(2): 111-112.CrossRef
3.
Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the diabetes prevention program outcomes study. Lancet. 2009; 374(9702): 1677-86.CrossRefPubMedCentral
4.
Wing RR. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the look AHEAD trial. Arch Intern Med. 2010; 170(17): 1566-75.PubMed
5.
Sarwer DB et al. Behavior therapy for obesity: where are we now? Curr Opin Endocrinol Diabetes Obes. 2009; 16(5): 347-52.CrossRefPubMed
6.
Pi-Sunyer X et al. Reduction in weight and cardiovascular disease risk factors in individuals with type 2 diabetes: one-year results of the look AHEAD trial. Diabetes Care. 2007; 30(6): 1374-83.CrossRefPubMed
7.
Knowler WC et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002; 346(6): 393-403.CrossRefPubMed
8.
Knowler WC et al. 10-year follow-up of diabetes incidence and weight loss in the diabetes prevention program outcomes study. Lancet. 2009; 374(9702): 1677-86.CrossRefPubMed
9.
Wadden TA et al. The look AHEAD study: a description of the lifestyle intervention and the evidence supporting it. Obesity (Silver Spring). 2006; 14(5): 737-52.CrossRef
10.
11.
Verheijden MW et al. Role of social support in lifestyle-focused weight management interventions. Eur J Clin Nutr. 2005; 59(Suppl 1): S179-86.CrossRefPubMed
12.
Black DR, Gleser LJ, Kooyers KJ. A meta-analytic evaluation of couples weight-loss programs. Health Psychol. 1990; 9(3): 330-47.CrossRefPubMed
13.
Cohen S. Psychosocial models of the role of social support in the etiology of physical disease. Health Psychol. 1988; 7(3): 269-97.CrossRefPubMed
14.
Paul-Ebhohimhen V, Avenell A. A systematic review of the effectiveness of group versus individual treatments for adult obesity. Obes Facts. 2009; 2(1): 17-24.CrossRefPubMed
15.
Appel LJ, et al. Comparative effectiveness of weight-loss interventions in clinical practice. N Engl J Med. 2011
16.
Ockene IS et al. Outcomes of a Latino community-based intervention for the prevention of diabetes: the Lawrence Latino diabetes prevention project. Am J Public Health. 2012; 102(2): 336-342.CrossRefPubMedCentralPubMed
17.
18.
Sabinsky MS et al. Overweight men’s motivations and perceived barriers towards weight loss. Eur J Clin Nutr. 2007; 61(4): 526-31.PubMed
19.
Wolfe BL, Smith JE. Different strokes for different folks: why overweight men do not seek weight loss treatment. Eat Disord. 2002; 10(2): 115-24.CrossRefPubMed
20.
Knowler WC et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002; 346(11832527): 393-403.PubMed
21.
Orchard TJ et al. The effect of metformin and intensive lifestyle intervention on the metabolic syndrome: the diabetes prevention program randomized trial. Ann Intern Med. 2005; 142(8): 611-9.CrossRefPubMedCentralPubMed
22.
Wing RR et al. Achieving weight and activity goals among diabetes prevention program lifestyle participants. Obes Res. 2004; 12(15483207): 1426-1434.PubMed
23.
24.
Ali MK, Echouffo-Tcheugui J, Williamson DF. How effective were lifestyle interventions in real-world settings that were modeled on the diabetes prevention program? Health Aff (Millwood). 2012; 31(22232096): 67-75.CrossRef
25.
Tsai AG, Wadden TA. Systematic review: an evaluation of major commercial weight loss programs in the United States. Ann Intern Med. 2005; 142(1): 56-66.CrossRefPubMed
26.
Zickuhr K, Smith A, Home Broadband. Pew research center’s internet & American life project2013. Washington D.C: Pew Research Center; 2013.
27.
28.
Sarasohn-Kahn J. How Smarphones Are Changing Health Care for Consumers and Providers, April 2010, California HealthCare Foundation.
29.
Birden H, Page S. Teaching by videoconference: a commentary on best practice for rural education in health professions. Rural Remote Health. 2005; 5(2): 356.PubMed
30.
Gagnon MP et al. Implementing telehealth to support medical practice in rural/remote regions: what are the conditions for success? Implement Sci. 2006; 1: 18.CrossRefPubMedCentralPubMed
31.
Moehr JR et al. Success factors for telehealth—a case study. Int J Med Inform. 2006; 75(10–11): 755-63.CrossRefPubMed
32.
Augestad KM, Lindsetmo RO. Overcoming distance: video-conferencing as a clinical and educational tool among surgeons. World J Surg. 2009; 33(7): 1356-65.CrossRefPubMedCentralPubMed
33.
McLean S et al. Telehealthcare for asthma. Cochrane Database Syst Rev. 2010; 10, CD007717.PubMed
34.
Vyzula R. Oncologists use a communication system for videoconferencing. Klin Onkol. 2010; 23(2): 124.PubMed
35.
Kitamura C, Zurawel-Balaura L, Wong RK. How effective is video consultation in clinical oncology? a systematic review. Curr Oncol. 2010; 17(3): 17-27.PubMedCentralPubMed
36.
Hassija C, Gray MJ. The effectiveness and feasibility of videoconferencing technology to provide evidence-based treatment to rural domestic violence and sexual assault populations. Telemed J Eng Health. 2011; 17(4): 309-15.CrossRef
37.
Kobak KA, Williams JB, Engelhardt N. A comparison of face-to-face and remote assessment of inter-rater reliability on the Hamilton depression rating scale via videoconferencing. Psychiatry Res. 2008; 158(1): 99-103.CrossRefPubMed
38.
Kobak KA et al. Face-to-face versus remote administration of the Montgomery-Asberg depression rating scale using videoconference and telephone. Depression Anxiety. 2008; 25(11): 913-9.CrossRefPubMed
39.
Modai I et al. Cost effectiveness, safety, and satisfaction with video telepsychiatry versus face-to-face care in ambulatory settings. Telemed J Eng Health. 2006; 12(5): 515-20.CrossRef
40.
O’Reilly R et al. Is telepsychiatry equivalent to face-to-face psychiatry? Results from a randomized controlled equivalence trial. Psychiatr Serv. 2007; 58(6): 836-43.CrossRefPubMed
41.
Strachan M et al. Home-based telehealth to deliver evidence-based psychotherapy in veterans with PTSD. Contemp Clin Trials. 2012; 33(2): 402-9.CrossRefPubMed
42.
Tuerk PW et al. A pilot study of prolonged exposure therapy for posttraumatic stress disorder delivered via telehealth technology. J Trauma Stress. 2010; 23(1): 116-23.PubMed
43.
E, D.E.W., et al. Implementing video conferencing in mental health practice. J Psychiatr Ment Health Nurs. 2012.
44.
Marhefka SL, et al. Interest in, concerns about, and preferences for potential video-group delivery of an effective behavioral intervention among women living with HIV. AIDS Behav. 2011.
45.
Verhoeven F et al. The contribution of teleconsultation and videoconferencing to diabetes care: a systematic literature review. J Med Internet Res. 2007; 9(5): e37.CrossRefPubMedCentralPubMed
46.
Morland LA et al. Group cognitive processing therapy delivered to veterans via telehealth: a pilot cohort. J Trauma Stress. 2011; 24(4): 465-9.CrossRefPubMed
47.
Ahrendt AD, et al. The Effectiveness of Telemedicine for Weight Management in the MOVE! Program. J Rural Health : Off J Am Rural Health Assoc Natl Rural Health Care Assoc. 2013.
48.
Dehghani P et al. Management of adults with congenital heart disease using videoconferencing across Western Canada: a 3-year experience. Can J Cardiol. 2013; 29(7): 873-8.CrossRefPubMed
49.
Vadheim LM et al. Adapted diabetes prevention program lifestyle intervention can be effectively delivered through telehealth. Diabetes Educ. 2010; 36(4): 651-6.CrossRefPubMed
50.
51.
Kramer MK et al. Translating the diabetes prevention program: a comprehensive model for prevention training and program delivery. Am J Prev Med. 2009; 37(6): 505-11.CrossRefPubMed
52.
Kramer MK et al. A novel approach to diabetes prevention: evaluation of the group lifestyle balance program delivered via DVD. Diabetes Res Clin Pract. 2010; 90(3): e60-3.CrossRefPubMed
53.
Steinberg DM, et al. The efficacyof adaily self-weighing weight loss intervention using smart scales and email. Obesity. 2013.
54.
Blackburn G. Effect of degree of weight loss on health benefits. Obes Res. 1995; 3(2): 211s-216s.CrossRefPubMed
55.
The Diabetes Prevention Program. Design and methods for a clinical trial in the prevention of type 2 diabetes. Diabetes Care. 1999; 22(4): 623-34.CrossRef
56.
The Diabetes Prevention Program (DPP). Description of lifestyle intervention. Diabetes Care. 2002; 25(12): 2165-71.CrossRef
57.
Ogden CL, et al. Prevalence of obesity in the United States, 2009-2010. NCHS Data Brief, 2012(82): 1–8.
58.
59.
Volkmar FR et al. High attrition rates in commercial weight reduction programs. Arch Intern Med. 1981; 141(4): 426-8.CrossRefPubMed
60.
Anderson JW et al. Long-term weight-loss maintenance: a meta-analysis of US studies. Am J Clin Nutr. 2001; 74(5): 579-84.PubMed
61.
Dalle Grave R et al. Weight loss expectations in obese patients seeking treatment at medical centers. Obes Res. 2004; 12(12): 2005-12.CrossRefPubMed
62.
Venditti EM et al. First versus repeat treatment with a lifestyle intervention program: attendance and weight loss outcomes. Int J Obes. 2008; 32(10): 1537-44.CrossRef
63.
Wadden TA, Butryn ML, Byrne KJ. Efficacy of lifestyle modification for long-term weight control. Obes Res. 2004; 12(Suppl): 151S-62S.CrossRefPubMed
64.
Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011; 111(21185970): 92-9102.CrossRefPubMedCentralPubMed
65.
McGuire MT et al. Behavioral strategies of individuals who have maintained long-term weight losses. Obes Res. 1999; 7(4): 334-41.CrossRefPubMed
66.
Steinberg DM et al. The efficacy of a daily self-weighing weight loss intervention using smart scales and e-mail. Obesity. 2013; 21(9): 1789-97.PubMedCentralPubMed
67.
Arem H, Irwin M. A review of web-based weight loss interventions in adults. Obes Rev. 2011; 12(20804523): 236-243.CrossRef
68.
69.
70.
71.
Metadaten
Titel
Virtual small groups for weight management: an innovative delivery mechanism for evidence-based lifestyle interventions among obese men
verfasst von
Kristen M. J. Azar, R.N., B.S.N., M.S.N/.M.P.H.
Magi Aurora, B.S.
Elsie J. Wang, M.S.
Amy Muzaffar, M.D.
Alice Pressman, Ph.D., M.S.
Latha P. Palaniappan, M.D., M.S.
Publikationsdatum
01.03.2015
Verlag
Springer US
Erschienen in
Translational Behavioral Medicine / Ausgabe 1/2015
Print ISSN: 1869-6716
Elektronische ISSN: 1613-9860
DOI
https://doi.org/10.1007/s13142-014-0296-6

Weitere Artikel der Ausgabe 1/2015

Translational Behavioral Medicine 1/2015 Zur Ausgabe

Case Study

A brief primary care intervention to reduce fear of movement in chronic low back pain patients

Practice and Public Health Policies

Society of Behavioral Medicine position statement: early care and education (ECE) policies can impact obesity prevention among preschool-aged children

Original Research

Using online crowdsourcing to understand young adult attitudes toward expert-authored messages aimed at reducing hazardous alcohol consumption and to collect peer-authored messages

Systematic Reviews

Systematic review of health branding: growth of a promising practice

Case Study

It takes a (virtual) village: crowdsourcing measurement consensus to advance survivorship care planning

Original Research

Dissemination of an evidence-based treatment for cancer patients: training is the necessary first step