Characteristics of the Body Mass Frequency Index: a Novel Evaluation Index for Dysmotility Syndrome

Wen Sun, Peige Wang, Hailing Guo, Yongfang Zhao
2023 · doi:10.21203/rs.3.rs-3225341/v1
preprint OA: closed CC-BY-4.0
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Abstract

Abstract Objective: The objective of this study was to evaluate the application value of the body mass frequency index (BMFI) in older patients with dysmotility syndrome (DS) by comprehensively analyzing the differences in BMFI between community-dwelling older subjects using medical and engineering methods. Methods: A cross-sectional study was conducted to recruit community-dwelling older subjects aged 60–90 years. Various assessments and measurements were performed, including basic information collection, gait analysis, bone mineral density (BMD) and body composition measurement, fall and fracture risk et al. Gait analysis and BMI are in the established model to calculate BMFI. Analysis of BMFI was performed in community-dwelling older subjects, and the specificity and threshold of BMFI in predicting dysmotility syndrome (DS) were further analyzed. Results Significant differences in BMFI were observed between older adults with DS and those without DS. BMFI in older people was associated with bone quality, fracture risk, body fat percentage, ASMI, grip strength, and speed. The odds ratio (OR) and 95% confidence interval (CI) for BMFI in the non-DS and DS groups were 0.823 (0.743–0.901), respectively. Receiver operating characteristic (ROC) analysis demonstrated that BMFI had predictive value in distinguishing non-DS from DS (AUC = 0.669) (P < 0.05). The optimal threshold for predicting non-DS and DS was found to be 16.04 (sensitivities = 0.483, specificities = 0.774). Conclusion: The measurement of BMFI revealed significant differences in musculoskeletal status between older individuals with DS and those without DS. Furthermore, BMFI exhibits specificity in predicting DS in older individuals.

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License: CC-BY-4.0