Top of page
Global Site Navigation

School of Medical and Health Sciences

Local Section Navigation

Help us improve our content by rating this page.

Page rating system

Please leave a comment about your rating so we can better understand how we might improve the page.

You are here: Main Content

Reliability of peripheral Quantitative Computed Tomography (pQCT), reliability of Osteogenic Index, and a thirty-six week upper body resistance training strength study measuring osteogenic adaptations

This research will utilise three studies to investigate peripheral Quantitative Computed Tomography (pQCT) reliability, the Osteogenic Index reliability using inertial measurement units, and the effect of a thirty-six week upper body resistance training study measuring osteogenic adaptations.

Study one focuses on the between-day reliability of pQCT. This can be used in clinical populations, for research, and for athletes. Study two focuses on the reliability of the Osteogenic Index calculated using inertial measurement units during strength and power resistance training exercises. Study three focuses on the effect of a thirty-six week upper body resistance training program on osteogenic adaptations. The information found could be useful for determining the training time required to exhibit a certain amount of osteogenic adaptations for the upper body. Further, this study will validate if the oestrogenic index can accurately predict oestrogenic adaptation. This can assist in developing training programs for athletes, or people with bone conditions such as osteoporosis and osteopenia. The hypothesis of study one is that pQCT will be reliable for between-day scans. The hypothesis of study two is that the Osteogenic Index will be reliable from data gathered by inertial measurement units during each exercise. The hypothesis of study three is that a thirty-six upper body resistance training strength study will result in significant osteogenic adaptations in the radius and humerus.

Overall, the results of these three studies may be useful for developing a training regime that could specifically target increasing bone mass and strength. This can assist populations with bone conditions such as osteoporosis and osteopenia, as a targeted and specific exercise plan can be provided using the osteogenic index predictions to ensure successful improvements or maintenance of bone health.

Project duration

2014-2017


Researchers

Mr Mark Jenkins
Dr Sophia Nimphius
Professor Rob Newton
Deakin University (Aus), Dr Timo Rantalainen

Skip to top of page