Effects of digital and remote exercise interventions on HbA1c in type 2 diabetes: a systematic review and network meta-analysis
Clinical Snapshot
PICO Framework
| P — Population | Adults with type 2 diabetes mellitus |
| I — Intervention | Digital and remote exercise interventions (DEX, SEP, MBLI, TEX) |
| C — Comparator | Control groups (usual care or no intervention) |
| O — Outcomes | Change in glycated hemoglobin (HbA1c) |
Bottom Line
This network meta-analysis of 54 RCTs demonstrates that digitally delivered exercise interventions vary significantly in their effectiveness for glycemic control in type 2 diabetes. Tele-exercise with professional supervision showed the greatest HbA1c reduction (-0.51%), followed by multi-behavioral lifestyle interventions (-0.32%). Purely digital or automated exercise programs showed minimal benefit. The findings suggest that human supervision and comprehensive behavioral support are crucial components of effective digital diabetes interventions. However, network inconsistency in subgroup analyses limits confidence in these findings. Clinicians should prioritize supervised telehealth exercise programs over standalone digital applications when recommending remote diabetes management strategies, while recognizing that evidence quality limitations require cautious implementation.
Key Findings
P Value: Not reported in abstract
Effect Size: TEX: -0.51%, MBLI: -0.32%, SEP: non-significant, DEX: non-significant
Primary Outcome: Change in HbA1c from baseline
Nnt Or Sensitivity: SUCRA rankings: TEX (0.87), MBLI (0.66), SEP (0.62), DEX (0.24)
Confidence Interval: TEX: 95% CrI -0.88 to -0.14, MBLI: 95% CrI -0.51 to -0.13
Clinical Application
Tele-exercise requires professional supervision infrastructure; multi-behavioral interventions need comprehensive support systems Relevant to Medicare telehealth items and NDSS diabetes education programs; aligns with RACGP diabetes management guidelines emphasizing lifestyle interventions Adults with T2DM, particularly those ≥60 years or diabetes duration >10 years
Abstract
BACKGROUND: To compare the effects of different digitally and remotely deliveredexercise interventions on glycated hemoglobin (HbA1c) in adults with type 2diabetes mellitus (T2DM) using a network meta-analysis (NMA), and to clarifythe relative effectiveness of distinct delivery models. METHODS: A systematic review and network meta-analysis of randomized controlledtrials was conducted following PRISMA-NMA guidelines and prospectivelyregistered in PROSPERO (CRD420261288210). Major databases were searched frominception to November 11, 2025. Exercise-centered digital and remoteinterventions were categorized as digital exercise interventions (DEX),structured exercise prescription (SEP), multi-behavior lifestyle interventions(MBLI), and tele-exercise/tele-rehabilitation (TEX). The primary outcome waschange in HbA1c. RESULTS: Fifty-four RCTs were included. Compared with control, TEX demonstratedthe greatest reduction in HbA1c (MD -0.51%, 95% CrI -0.88 to -0.14), followedby MBLI (MD -0.32%, 95% CrI -0.51 to -0.13). SEP showed a non-significanttrend, and DEX did not significantly reduce HbA1c. SUCRA rankings favored TEX(0.87), followed by MBLI (0.66), SEP (0.62), and DEX (0.24). Subgroup analysessuggested that HbA1c reductions with TEX and MBLI were more evident among olderadults (≥60 years) and those with longer diabetes duration(>10 years);however, network inconsistency was detected in these subgroups, and findingsshould be interpreted cautiously. CONCLUSIONS: Digitally and remotelydelivered exercise interventions differ in their effectiveness for HbA1ccontrol in T2DM. Interventions incorporating ongoing professional supervisionare associated with the most consistent glycemic benefits, whereas largelyautomated approaches show limited effects, highlighting the importance ofdelivery structure and supervision intensity.
References
- 1.Gao, S., Yan, M., Ding, H., & Jiang, L. (2026). Effects of digital and remote exercise interventions on HbA1c in type 2 diabetes: a systematic review and network meta-analysis. BMC Endocrine Disorders. https://doi.org/10.2337/dc16-0346
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