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Using minimal clinically important differences to measure long-term transitions of osteosarcopenia: The New Mexico
Lara Vlietstra1, Ben Kirk2, Gustavo Duque3
1School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand.
Understanding transitions in osteosarcopenia using minimal clinically important differences (MCID) helps target interventions. Demographic factors influence these health status changes in older adults.
Area of Science:
- Gerontology
- Metabolic Diseases
- Biostatistics
Background:
- Osteosarcopenia, characterized by bone and muscle loss, significantly impacts older adults' health.
- Understanding health transitions in osteosarcopenia is crucial for developing targeted interventions to reduce morbidity and mortality.
Purpose of the Study:
- To demonstrate the rationale and methodology of using minimal clinically important differences (MCID) for classifying osteosarcopenia transitions.
- To investigate the influence of demographic variables on these transitions over a 9-year period.
Main Methods:
- Transitions in bone mineral density (BMD), appendicular skeletal muscle mass/body mass index ratio (ASM/BMI), grip strength, and gait speed were identified using MCID scores.
- MCIDs for BMD and ASM/BMI were established using distribution-based and anchor-based methods.
- Poisson regression analyzed the effects of age, sex, physical activity, medication, and health status on transitions.
Main Results:
- Over 9 years, numerous transitions were observed: 2163 for BMD, 1689 for ASM/BMI, 2339 for grip strength, and 2151 for gait speed.
- Specific MCID-derived transition categories showed associations with sex, age, and health status.
Conclusions:
- MCID-derived transitions effectively capture the dynamic nature of health fluctuations in older adults.
- Future research should prioritize modifiable osteosarcopenia markers for designing effective intervention trials.
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