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Lifestyle counselling by persuasive information and communications technology reduces prevalence of metabolic syndrome in a dose-response manner: a randomized clinical trial (PrevMetSyn).
- Source :
-
Annals of medicine [Ann Med] 2020 Sep; Vol. 52 (6), pp. 321-330. - Publication Year :
- 2020
-
Abstract
- Objectives: The aim was to investigate whether lifestyle changes produced by persuasive Information and Communication Technology (ICT) counselling can lower the prevalence of metabolic syndrome (MetS).<br />Methods: A total of 532 participants (20-60 years, body mass index 27-35 kg/m <superscript>2</superscript> ) were randomly assigned to six arms according to counselling type (no, short-term, or intensive) with or without ICT intervention. In this report the prevalence of MetS and its components were compared between no-ICT group and ICT group. Moreover, the frequency of the web information system usage was analysed for the number of logins, responses to weekly messages, and other record variables.<br />Results: The ICT group had significantly lower proportion of MetS (33.7% vs. 45.3%, p  = .022) than the no-ICT group at 2-year follow-up. In mixed model, the ICT group had lower prevalence of MetS than no-ICT group (OR 0.50, 95%CI 0.27-0.90) after intervention. The tertile with the highest utilization had 71% lower prevalence of MetS compared with the lowest utilization tertile or the no-ICT group.<br />Conclusions: Web-based ICT is able to reduce the prevalence of MetS. In addition, higher utilization of the web information system is associated with a greater decrease in the prevalence of MetS. Key messages Our internet health behaviour change support system based on persuasive design and cognitive behaviour therapy markedly reduces metabolic syndrome in overweight/obese subjects. As a stand-alone tool it may save healthcare personnel resources as it is suitable at a low cost for both obese/overweight patients and the public at large.
Details
- Language :
- English
- ISSN :
- 1365-2060
- Volume :
- 52
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Annals of medicine
- Publication Type :
- Academic Journal
- Accession number :
- 32727302
- Full Text :
- https://doi.org/10.1080/07853890.2020.1783455