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Siobhan Leahy
Researcher at University of Limerick
Publications - 29
Citations - 484
Siobhan Leahy is an academic researcher from University of Limerick. The author has contributed to research in topics: Population & Longitudinal study. The author has an hindex of 9, co-authored 29 publications receiving 408 citations. Previous affiliations of Siobhan Leahy include Trinity College, Dublin.
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A comparison of dual energy X-ray absorptiometry and bioelectrical impedance analysis to measure total and segmental body composition in healthy young adults
TL;DR: Compared to dual energy X-ray absorptiometry, bioelectrical impedance analysis underestimates the total body fat mass and overestimates fat free mass in healthy young adults and should, therefore, be used with caution in the measurement of total body composition in women and men with >25% total bodyfat.
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Ultrasound measurement of subcutaneous adipose tissue thickness accurately predicts total and segmental body fat of young adults.
TL;DR: The data indicate that ultrasound measurement of SAT thickness proportionally reflects segmental fat mass and accurately predicts % body fat in young adults.
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Prevalence and correlates of diagnosed and undiagnosed type 2 diabetes mellitus and pre-diabetes in older adults: Findings from the Irish Longitudinal Study on Ageing (TILDA)
Siobhan Leahy,A.M. O’ Halloran,N. O’ Leary,Martin Healy,M. McCormack,Rose Anne Kenny,J. O’ Connell +6 more
TL;DR: The prevalence of undiagnosed and pre-diabetes is relatively low in community-dwelling older adults in Ireland, and addressing lifestyle factors in this population may help to further reduce the prevalence of pre-Diabetes and improve outcomes for those with a previous diagnosis.
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Technical considerations for accurate measurement of subcutaneous adipose tissue thickness using B-mode ultrasound:
TL;DR: The work in determining an accurate method for the measurement of subcutaneous adipose tissue at different body sites is described, including a comparison of scanning directions and sites, and the reliability and sensitivity of the methods are described.
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Generalised equations for the prediction of percentage body fat by anthropometry in adult men and women aged 18–81 years
TL;DR: These generalised anthropometric equations accurately predict %BF and are suitable for the measurement of %BF in adult men and women of varying levels of fatness across the lifespan.