Cargando…
Bone Loss Rate May Interact with Other Risk Factors for Fractures among Elderly Women: A 15-Year Population-Based Study
Aim was to investigate fracture risk (FR) according to bone loss (BL) rate. A random sample of 1652 women aged 53.5 years was measured with dual X-ray absorptiometry in femoral neck in 1989 and 1994 and divided into tertiles of annual BL rate: high >0.84%, moderate 0.13%–0.84%, and low <0.13%....
Autores principales: | , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
SAGE-Hindawi Access to Research
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2957188/ https://www.ncbi.nlm.nih.gov/pubmed/20981330 http://dx.doi.org/10.4061/2010/736391 |
_version_ | 1782188213455028224 |
---|---|
author | Sirola, Joonas Koistinen, Anna-Kaisa Salovaara, Kari Rikkonen, Toni Tuppurainen, Marjo Jurvelin, Jukka S. Honkanen, Risto Alhava, Esko Kröger, Heikki |
author_facet | Sirola, Joonas Koistinen, Anna-Kaisa Salovaara, Kari Rikkonen, Toni Tuppurainen, Marjo Jurvelin, Jukka S. Honkanen, Risto Alhava, Esko Kröger, Heikki |
author_sort | Sirola, Joonas |
collection | PubMed |
description | Aim was to investigate fracture risk (FR) according to bone loss (BL) rate. A random sample of 1652 women aged 53.5 years was measured with dual X-ray absorptiometry in femoral neck in 1989 and 1994 and divided into tertiles of annual BL rate: high >0.84%, moderate 0.13%–0.84%, and low <0.13%. Low trauma energy fractures during following 10 years were recorded. There were no differences in FR between BL tertiles in Cox regression model. Factors predicting lower FR in Cox model were in high tertile: high T-score (HR 0.71; 95% CI 0.54–0.93, P = .012), no sister's fracture (HR 0.35; 0.19–0.64, P = .001), no mother's fracture (HR 0.52; 0.31–0.88, P = .015), in moderate tertile: high T-score (HR 0.69;0.53–0.91, P = .008) and good grip strength (HR 0.98; 0.97–0.99, P = .022). In low tertile there were no predictors for FR. BL predicted FR in women with mother's fracture in univariate and multivariate model (OR 2.6; 1.15–5.7, P = .021) but with sister's fracture this was observed only in multivariate model (OR 2.66; 1.09–6.7, P = .039). Accordingly, the risk factors for postmenopausal fractures, especially mother's fracture, may interact with BL. |
format | Text |
id | pubmed-2957188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | SAGE-Hindawi Access to Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-29571882010-10-27 Bone Loss Rate May Interact with Other Risk Factors for Fractures among Elderly Women: A 15-Year Population-Based Study Sirola, Joonas Koistinen, Anna-Kaisa Salovaara, Kari Rikkonen, Toni Tuppurainen, Marjo Jurvelin, Jukka S. Honkanen, Risto Alhava, Esko Kröger, Heikki J Osteoporos Research Article Aim was to investigate fracture risk (FR) according to bone loss (BL) rate. A random sample of 1652 women aged 53.5 years was measured with dual X-ray absorptiometry in femoral neck in 1989 and 1994 and divided into tertiles of annual BL rate: high >0.84%, moderate 0.13%–0.84%, and low <0.13%. Low trauma energy fractures during following 10 years were recorded. There were no differences in FR between BL tertiles in Cox regression model. Factors predicting lower FR in Cox model were in high tertile: high T-score (HR 0.71; 95% CI 0.54–0.93, P = .012), no sister's fracture (HR 0.35; 0.19–0.64, P = .001), no mother's fracture (HR 0.52; 0.31–0.88, P = .015), in moderate tertile: high T-score (HR 0.69;0.53–0.91, P = .008) and good grip strength (HR 0.98; 0.97–0.99, P = .022). In low tertile there were no predictors for FR. BL predicted FR in women with mother's fracture in univariate and multivariate model (OR 2.6; 1.15–5.7, P = .021) but with sister's fracture this was observed only in multivariate model (OR 2.66; 1.09–6.7, P = .039). Accordingly, the risk factors for postmenopausal fractures, especially mother's fracture, may interact with BL. SAGE-Hindawi Access to Research 2010-02-22 /pmc/articles/PMC2957188/ /pubmed/20981330 http://dx.doi.org/10.4061/2010/736391 Text en Copyright © 2010 Joonas Sirola et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sirola, Joonas Koistinen, Anna-Kaisa Salovaara, Kari Rikkonen, Toni Tuppurainen, Marjo Jurvelin, Jukka S. Honkanen, Risto Alhava, Esko Kröger, Heikki Bone Loss Rate May Interact with Other Risk Factors for Fractures among Elderly Women: A 15-Year Population-Based Study |
title | Bone Loss Rate May Interact with Other Risk Factors for Fractures among Elderly Women: A 15-Year Population-Based Study |
title_full | Bone Loss Rate May Interact with Other Risk Factors for Fractures among Elderly Women: A 15-Year Population-Based Study |
title_fullStr | Bone Loss Rate May Interact with Other Risk Factors for Fractures among Elderly Women: A 15-Year Population-Based Study |
title_full_unstemmed | Bone Loss Rate May Interact with Other Risk Factors for Fractures among Elderly Women: A 15-Year Population-Based Study |
title_short | Bone Loss Rate May Interact with Other Risk Factors for Fractures among Elderly Women: A 15-Year Population-Based Study |
title_sort | bone loss rate may interact with other risk factors for fractures among elderly women: a 15-year population-based study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2957188/ https://www.ncbi.nlm.nih.gov/pubmed/20981330 http://dx.doi.org/10.4061/2010/736391 |
work_keys_str_mv | AT sirolajoonas bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy AT koistinenannakaisa bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy AT salovaarakari bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy AT rikkonentoni bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy AT tuppurainenmarjo bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy AT jurvelinjukkas bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy AT honkanenristo bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy AT alhavaesko bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy AT krogerheikki bonelossratemayinteractwithotherriskfactorsforfracturesamongelderlywomena15yearpopulationbasedstudy |