820 - Correlations Between Osteopathic Somatic Dysfunctions and Biometric Indicators in Vulnerable Populations: Insights from a Pop-Up Clinic at a Domestic Violence Shelter

This study investigated the correlation between osteopathic manipulative medicine (OMM) somatic dysfunctions and key health metrics in a vulnerable population at a domestic violence shelter, aiming to address gaps in the literature regarding biometric differences in underserved populations while informing future treatment strategies in Physical Medicine & Rehabilitation (PM&R).

Design:

This cross-sectional study, approved by the IRB through SHSU-COM, assessed 20 participants using OMM techniques, such as palpation of tissue texture changes, range of motion, and tenderness. Biometric data, including blood pressure, heart rate, respiratory rate, oxygen saturation, blood sugar, cholesterol, BMI, and circumferences (neck, abdominal), were collected. Statistical analyses were conducted using Pearson correlation and multivariate regression models, with significance set at p < 0.05.

Results:

Significant correlations were identified between thoracic and cervical spine dysfunctions and elevated BMI (r = 0.64, p < 0.05) and neck circumference (r = 0.58, p < 0.05). Lumbar dysfunctions were associated with increased abdominal circumference (r = 0.49, p < 0.05) and respiratory rate (r = 0.52, p < 0.05). Rib dysfunctions showed slight increases in blood pressure and heart rate, though these trends were not statistically significant (p > 0.05).

Conclusions:

These findings suggest that individuals with higher BMI, larger neck and abdominal circumferences, and altered respiratory rates are more likely to present with specific somatic dysfunctions. Further studies may explore whether somatic dysfunction can be detected before the development of chronic health conditions and, if so, whether it could serve as an early indicator for the potential development of future disease. Addressing these correlations presents a gap in current research, as most studies overlook diagnostic patterns in favor of treatment outcomes. Future research should explore the long-term effects of OMM as both a diagnostic and preventive tool in PM&R. Educational interventions and improved access to OMM may enhance care in underserved populations.