The characteristics of the body mass frequency index in dysmobility syndrome: A pilot study

• Published in: Experimental gerontology Vol. 191; p. 112414
• Main Authors: Sun, Wen, Wang, Peige, Zhao, Yongfang
• Format: Journal Article
• Language: English
• Published: England Elsevier Inc 15.06.2024; Elsevier
• Subjects: Body mass frequency index; Dysmobility syndrome; Fall risk; Fracture risk; Fall risk; Dysmobility syndrome; Fracture risk; Body mass frequency index
• ISSN: 0531-5565; 1873-6815
• DOI: 10.1016/j.exger.2024.112414

With the advancement of global aging, there has been an increase in patients with dysmobility syndrome (DS), often accompanied by osteoporosis, sarcopenia, and sarcopenic obesity. The objective of this study was to evaluate the application value of the body mass frequency index (BMFI) in older patients with DS by comprehensively analyzing the differences in BMFI between community-dwelling older subjects using medical and engineering 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 body mass index (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 dysmobility syndrome (DS) were further analyzed. 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, appendicular skeletal muscle mass index (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). The measurement of BMFI has demonstrated disparities in musculoskeletal status among older adults with and without DS. Notably, BMFI exhibits a unique predictive capacity for DS among the elderly population. •This study introduced the Body Mass Frequency Index (BMFI), a mechanical model to explore human body mechanics.•BMFI reveals the mechanical properties of mass and stiffness within the musculoskeletal system.•We assess diagnostic value of BMFI in recognizing dysmobility syndrome (DS) among older adults residing in the community.•Our interdisciplinary research offers a basis for applications, elevating the significance of the BMFI in decision-making.