Literature DB >> 26121419

The Online Big Blue Test for Promoting Exercise: Health, Self-Efficacy, and Social Support.

Beni Gómez-Zúñiga1, Modesta Pousada1, Manny M Hernandez2, Sheri Colberg3, Elia Gabarrón4, Manuel Armayones1.   

Abstract

BACKGROUND: Recent articles have documented the influence of self-efficacy and social support on exercising. Simultaneously, insulin use is also related to the perception of self-efficacy and social support in patients with diabetes. We combine these two ideas through the Big Blue Test experience in a social networking site and propose to analyze whether a change in blood sugar levels after completion of the Big Blue Test and insulin use are related to the perception of self-efficacy and social support in patients with diabetes.
MATERIALS AND METHODS: To undergo the Big Blue Test, 3,926 participants voluntarily joined the Diabetes Hands Foundation. Responses were analyzed using descriptive analysis.
RESULTS: The participants who reduced their blood glucose after exercise the least were those with lower self-efficacy and also with lower perceived social support. There seems to have been no relationship between changes in blood sugar level and the explicit intention of doing exercise in the future. Insulin-dependent participants demonstrated a lower perception of self-efficacy and social support than non-insulin-dependent participants.
CONCLUSIONS: Change in blood glucose level or being insulin-dependent or not do not explain completely a health behavior such as exercise. Hence, self-efficacy and social support have an impact on behavioral change such as exercise to become a habit in people with diabetes, and this experience through a social networking site is an important tool for this behavioral change. For exercise to become a habit in people with diabetes, it is necessary to consider not only the crucial physiological variables, but also those psychological variables that clearly have an impact on behavioral change.

Entities:  

Keywords:  behavioral health; e-health; home health monitoring; technology

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Substances:

Year:  2015        PMID: 26121419     DOI: 10.1089/tmj.2014.0158

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  3 in total

Review 1.  Impact of Patient-centered eHealth Applications on Patient Outcomes: A Review on the Mediating Influence of Human Factor Issues.

Authors:  G A Wildenbos; L W Peute; M W M Jaspers
Journal:  Yearb Med Inform       Date:  2016-11-10

Review 2.  Social Media Use in Interventions for Diabetes: Rapid Evidence-Based Review.

Authors:  Elia Gabarron; Eirik Årsand; Rolf Wynn
Journal:  J Med Internet Res       Date:  2018-08-10       Impact factor: 5.428

Review 3.  Barriers and Facilitators for Physical Activity in Adults with Type 2 Diabetes Mellitus: A Scoping Review.

Authors:  Mireia Vilafranca Cartagena; Glòria Tort-Nasarre; Esther Rubinat Arnaldo
Journal:  Int J Environ Res Public Health       Date:  2021-05-18       Impact factor: 3.390

  3 in total

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