Pertanika Journal of Science & Technology
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Pertanika ยท Universiti Putra Malaysia Press

Pertanika Journal of Science & Technology

Official journal of Universiti Putra Malaysia for scholarly work across science, engineering and related technologies.

e-ISSN 2231-8526 ISSN 0128-7680
Research article

A Study Protocol: Spinal Morphology, Physical Performance, Quality of Life and Biochemical Markers in Adults at Risk of Osteoporotic Fractures

Chua, S. K., Singh, Devinder K. A., Rajaratnam, B. S., Mokhtar, Sabarul A., Sridharan, R., Gan, K. B., Chin, K. Y.7 and Lee, R. Y. W.

KeywordsBiochemical markers, intramuscular fat infiltration, osteoporotic fracture, physical performance, spinal morphology, quality of life
Article content

Abstract

Older adults are at risk of osteoporotic fractures. Osteoporotic vertebral fractures are associated with a reduced cross-sectional area and muscle strength of the back extensor muscles, increased intramuscular fat infiltration and thoracic and lumbar curvature alterations. This study proposed a protocol to examine in more detail the contributions of altered spinal morphological, physical performance and biochemical markers to the risk of developing osteoporotic vertebral fractures. In this cross-sectional study, we plan to recruit 100 adults aged 50 years and above from an orthopaedic clinic, Hospital CanselorTuankuMuhriz, UniversitiKebangsaan Malaysia. The fracture prediction tool (FRAX) will be used to categorise high and low risk groups. Back muscle strength will be quantified using a load cell system. Thoracolumbar curvatures will be examined using an electromagnetic tracking system and intramuscular fat infiltration in the lumbar muscles will be measured using Magnetic Resonance Imaging. The Short Physical Performance Battery and JAMA dynamometer will quantify physical performance and the European Quality of Life Questionnaire will be used to assess self-perceived quality of life. Biochemical markers of serum C terminal telopeptide and N terminal propeptide of type I procollagen will be assessed using an enzyme-linked immunosorbent assays kit. A spine-specific model using regression analysis will be developed to predict osteoporotic vertebral fractures using the measured parameters in the present study.