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. 2025 Sep 11;17:1658306. doi: 10.3389/fnagi.2025.1658306

Commentary: Sensorimotor dysfunction and postural instability in older adults with type 2 diabetes mellitus: the role of proprioception and neuropathy

Datian Chen 1, Hui Gong 2,*
PMCID: PMC12460431  PMID: 41019421

Introduction

Falls remain a leading cause of morbidity and mortality among older adults, especially those with Type 2 diabetes mellitus (T2DM). With over 68% of diabetic adults over 65 experiencing at least one injurious fall annually (Sun et al., 2022), there is a pressing need to identify modifiable neuromechanical contributors. Kardm et al. (2025) have made a timely and clinically meaningful contribution by highlighting proprioceptive impairments and their mechanistic ties to diabetic peripheral neuropathy (DPN). Their work builds on prior studies, such as those by Grewal et al. (2015) and Alissa et al. (2024), which identified proprioceptive deficits as critical risk factors for falls in diabetic populations, emphasizing the need for targeted sensorimotor interventions.

Key findings and mechanistic insights

This study employed dual-digital inclinometry (DDI) and computerized dynamic posturography (CDP) to quantify proprioceptive dysfunction and postural sway. The authors demonstrated several key findings:

  • Proprioceptive error and glycemic control: each 1% increase in HbA1c was associated with a 0.54° rise in proprioceptive error (p < 0.001), and a 1° increase predicted a 17.3% greater fall risk.

  • Stratification by neuropathy: diabetics with TCSS scores ≥6 had 2.1 times higher sway velocity compared to non-neuropathic counterparts (d = 1.82). Mediation analysis showed that DPN accounted for 58% of HbA1c's effect on postural control (Sobel test p = 0.003).

  • Diagnostic thresholds: a sway area >55 cm2 optimized fall prediction (Youden Index = 0.71), and a proprioceptive error ≥2.3° yielded 83% sensitivity for DPN diagnosis.

These findings are closely aligned with the American Diabetes Association's (ADA) recent call for sensorimotor screening as part of comprehensive diabetic management (American Diabetes Association Professional Practice C. 3., 2025).

Limitations and methodological considerations

While innovative, the study has several limitations:

  • Temporal ambiguity: longitudinal data are needed to clarify whether proprioceptive dysfunction precedes or follows microvascular complications.

  • Uncontrolled confounders: medication effects (e.g., GLP-1 agonists, statins) and comorbid vestibular dysfunction (prevalence: ~41% in elderly diabetics) were not adjusted for (Kumar et al., 2022).

  • Measurement precision: binary DPN classification may obscure risk gradation across TCSS 3–5. Additionally, CDP's ecological validity remains moderate (r = 0.32 with real-world gait variability) (Bril and Perkins, 2002).

Future research and translational directions

Phase 1: research priorities (0–2 years)

The 0–2-year timeframe prioritizes feasibility, focusing on interventions that leverage existing technologies and can be rapidly tested in controlled settings to establish efficacy (Table 1).

Table 1.

Phase 1 interventions for proprioceptive dysfunction in diabetic neuropathy.

Intervention Target population Outcome measures
Vibrotactile feedback training (100–200 Hz) TCSS 3–5 Reduction in proprioceptive error < 1.5°
VR balance perturbation HbA1c 7–8.5% ≥15% reduction in sway velocity

Phase 2: clinical implementation (2–5 years)

The 2–5-year timeframe allows for validation and scaling of interventions, aligning with the timeline for developing clinical guidelines and infrastructure for widespread adoption.

  • Digital screening tools: smartphone-based DDI tools should be validated (AUC target ≥0.85), with < 3-min protocols developed for primary care use (Brognara, 2024)

  • EMR integration: automated alerts based on combined criteria (HbA1c >7.5%, TCSS ≥3, fall history) may help stratify fall risk. Risk tiers:
    • Low: < 40 cm2,
    • Moderate: 40–55 cm2 → Physical therapy referral,
    • High: >55 cm2 → Multidisciplinary intervention.

Conclusion

Kardm et al. provide robust, clinically actionable thresholds for proprioceptive screening in older adults with T2DM. These insights support the inclusion of quantitative postural assessment in diabetes care, particularly for patients with long disease duration, high HbA1c variability, or early neuropathic signs. Establishing Current Procedural Terminology (CPT) codes for proprioceptive testing and revising ADA guidelines to include routine stability evaluations could enhance both outcomes and healthcare efficiency (Zakeri et al., 2023).

Acknowledgments

The authors would like to thank the participating members.

Funding Statement

The author(s) declare that no financial support was received for the research and/or publication of this article.

Author contributions

DC: Writing – review & editing, Writing – original draft. HG: Formal analysis, Data curation, Writing – review & editing, Writing – original draft.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

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