Prevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) Project
Osteoporosis is a common disease that has a significant impact on patients, healthcare systems, and society. World Health Organization (WHO) diagnostic criteria for postmenopausal women were established in 1994 to diagnose low bone mass (osteopenia) and osteoporosis using dual‐energy X‐ray absorptio...
Main Authors: | , , , , , , , , , , , , , |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Oxford University Press
2023
|
_version_ | 1811140060081291264 |
---|---|
author | Carey, JJ Erjiang, E Wang, T Yang, L Dempsey, M Brennan, A Yu, M Chan, WP Whelan, B Silke, C O'Sullivan, M Rooney, B McPartland, A O'Malley, G |
author_facet | Carey, JJ Erjiang, E Wang, T Yang, L Dempsey, M Brennan, A Yu, M Chan, WP Whelan, B Silke, C O'Sullivan, M Rooney, B McPartland, A O'Malley, G |
author_sort | Carey, JJ |
collection | OXFORD |
description | Osteoporosis is a common disease that has a significant impact on patients, healthcare systems, and society. World Health Organization (WHO) diagnostic criteria for postmenopausal women were established in 1994 to diagnose low bone mass (osteopenia) and osteoporosis using dual‐energy X‐ray absorptiometry (DXA)‐measured bone mineral density (BMD) to help understand the epidemiology of osteoporosis, and identify those at risk for fracture. These criteria may also apply to men ≥50 years, perimenopausal women, and people of different ethnicity. The DXA Health Informatics Prediction (HIP) project is an established convenience cohort of more than 36,000 patients who had a DXA scan to explore the epidemiology of osteoporosis and its management in the Republic of Ireland where the prevalence of osteoporosis remains unknown. In this article we compare the prevalence of a DXA classification low bone mass (T‐score < −1.0) and of osteoporosis (T‐score ≤ −2.5) among adults aged ≥40 years without major risk factors or fractures, with one or more major risk factors, and with one or more major osteoporotic fractures. A total of 33,344 subjects met our study inclusion criteria, including 28,933 (86.8%) women; 9362 had no fractures or major risk factors, 14,932 had one or more major clinical risk factors, and 9050 had one or more major osteoporotic fractures. The prevalence of low bone mass and osteoporosis increased significantly with age overall. The prevalence of low bone mass and osteoporosis was significantly greater among men and women with major osteoporotic fractures than healthy controls or those with clinical risk factors. Applying our results to the national population census figure of 5,123,536 in 2022 we estimate between 1,039,348 and 1,240,807 men and women aged ≥50 years have low bone mass, whereas between 308,474 and 498,104 have osteoporosis. These data are important for the diagnosis of osteoporosis in clinical practice, and national policy to reduce the illness burden of osteoporosis. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. Abstract Osteoporosis prevalence in Republic of Ireland |
first_indexed | 2024-09-25T04:15:58Z |
format | Journal article |
id | oxford-uuid:b840d7c9-e6c7-494c-bf79-1fc6a60d6717 |
institution | University of Oxford |
language | English |
last_indexed | 2024-09-25T04:15:58Z |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | dspace |
spelling | oxford-uuid:b840d7c9-e6c7-494c-bf79-1fc6a60d67172024-07-20T14:06:39ZPrevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) ProjectJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b840d7c9-e6c7-494c-bf79-1fc6a60d6717EnglishJisc Publications RouterOxford University Press2023Carey, JJErjiang, EWang, TYang, LDempsey, MBrennan, AYu, MChan, WPWhelan, BSilke, CO'Sullivan, MRooney, BMcPartland, AO'Malley, GOsteoporosis is a common disease that has a significant impact on patients, healthcare systems, and society. World Health Organization (WHO) diagnostic criteria for postmenopausal women were established in 1994 to diagnose low bone mass (osteopenia) and osteoporosis using dual‐energy X‐ray absorptiometry (DXA)‐measured bone mineral density (BMD) to help understand the epidemiology of osteoporosis, and identify those at risk for fracture. These criteria may also apply to men ≥50 years, perimenopausal women, and people of different ethnicity. The DXA Health Informatics Prediction (HIP) project is an established convenience cohort of more than 36,000 patients who had a DXA scan to explore the epidemiology of osteoporosis and its management in the Republic of Ireland where the prevalence of osteoporosis remains unknown. In this article we compare the prevalence of a DXA classification low bone mass (T‐score < −1.0) and of osteoporosis (T‐score ≤ −2.5) among adults aged ≥40 years without major risk factors or fractures, with one or more major risk factors, and with one or more major osteoporotic fractures. A total of 33,344 subjects met our study inclusion criteria, including 28,933 (86.8%) women; 9362 had no fractures or major risk factors, 14,932 had one or more major clinical risk factors, and 9050 had one or more major osteoporotic fractures. The prevalence of low bone mass and osteoporosis increased significantly with age overall. The prevalence of low bone mass and osteoporosis was significantly greater among men and women with major osteoporotic fractures than healthy controls or those with clinical risk factors. Applying our results to the national population census figure of 5,123,536 in 2022 we estimate between 1,039,348 and 1,240,807 men and women aged ≥50 years have low bone mass, whereas between 308,474 and 498,104 have osteoporosis. These data are important for the diagnosis of osteoporosis in clinical practice, and national policy to reduce the illness burden of osteoporosis. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. Abstract Osteoporosis prevalence in Republic of Ireland |
spellingShingle | Carey, JJ Erjiang, E Wang, T Yang, L Dempsey, M Brennan, A Yu, M Chan, WP Whelan, B Silke, C O'Sullivan, M Rooney, B McPartland, A O'Malley, G Prevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) Project |
title | Prevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) Project |
title_full | Prevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) Project |
title_fullStr | Prevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) Project |
title_full_unstemmed | Prevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) Project |
title_short | Prevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) Project |
title_sort | prevalence of low bone mass and osteoporosis in ireland the dual energy x ray absorptiometry dxa health informatics prediction hip project |
work_keys_str_mv | AT careyjj prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT erjiange prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT wangt prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT yangl prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT dempseym prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT brennana prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT yum prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT chanwp prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT whelanb prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT silkec prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT osullivanm prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT rooneyb prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT mcpartlanda prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject AT omalleyg prevalenceoflowbonemassandosteoporosisinirelandthedualenergyxrayabsorptiometrydxahealthinformaticspredictionhipproject |