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A Web-Delivered, Clinician-Led Group Exercise Intervention for Older Adults With Type 2 Diabetes: Single-Arm Pre-Post Intervention.
Kirwan, Morwenna; Chiu, Christine L; Laing, Thomas; Chowdhury, Noureen; Gwynne, Kylie.
  • Kirwan M; Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, Australia.
  • Chiu CL; Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, Australia.
  • Laing T; Diabetes NSW & ACT, Glebe, Australia.
  • Chowdhury N; Diabetes NSW & ACT, Glebe, Australia.
  • Gwynne K; Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, Australia.
J Med Internet Res ; 24(9): e39800, 2022 09 23.
Article in English | MEDLINE | ID: covidwho-2054799
ABSTRACT

BACKGROUND:

The COVID-19 pandemic created unprecedented shifts in the way health programs and services are delivered. A national lockdown to prevent the spread of COVID-19 in Australia was introduced in March 2020. This lockdown included the closure of exercise clinics, fitness centers, and other community spaces, which, before the pandemic, were used to deliver Beat It. Beat It is an 8-week in-person, community-based, and clinician-led group exercise and education program for adults self-managing diabetes. To continue offering Beat It, it was adapted from an in-person program to a fully web-based supervised group exercise program for adults with type 2 diabetes (T2DM).

OBJECTIVE:

This study aims to assess whether the Beat It Online program produced comparable health outcomes to the Beat It in-person program in terms of improving physical fitness (muscular strength and power, aerobic endurance, balance, and flexibility) and waist circumference in older adults with T2DM.

METHODS:

Australians with T2DM who were aged ≥60 years were included. They were enrolled in Beat It Online, a twice-weekly supervised group exercise and education program conducted via videoconference over 8 weeks. Anthropometric measurements and physical fitness parameters were assessed at baseline and completion. The adaptations to Beat It are reported using the Model for Adaptation, Design, and Impact, including the type of changes (what, where, when, and for whom), the criteria for making those changes (why and how), and the intended and unintended outcomes. The intended outcomes were comparable functional fitness as well as physical and mental health improvements across demographics and socioeconomic status.

RESULTS:

A total of 171 adults (mean 71, SD 5.6 years; n=54, 31.6% male) with T2DM were included in the study, with 40.4% (n=69) residing in lower socioeconomic areas. On the completion of the 8-week program, significant improvements in waist circumference, aerobic capacity, muscular strength, flexibility, and balance were observed in both male and female participants (all P<.001). The Model for Adaptation, Design, and Impact reports on 9 clinical, practical, and technical aspects of Beat It that were adapted for web-based delivery.

CONCLUSIONS:

This study found that Beat It Online was just as effective as the in-person program. This adapted program produced comparable health benefits across demographics and socioeconomic status. This study offers important findings for practitioners and policy makers seeking to maintain independence of older people with T2DM, reversing frailty and maximizing functional and physical fitness, while improving overall quality of life. Beat It Online offers a flexible and inclusive solution with significant physical and mental health benefits to individuals. Further evaluation of Beat It (both in-person and Online) adapted for culturally and linguistically diverse communities will provide greater insights into the efficacy of this promising program.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Aged / Female / Humans / Male Country/Region as subject: Oceania Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 39800

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Aged / Female / Humans / Male Country/Region as subject: Oceania Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 39800