Kara B. Anderson , Pamela Rufus-Membere , Jacob W. Harland , Julie A. Pasco , Adolfo Diez-Perez , Mark A. Kotowicz , Kara L. Holloway-Kew
{"title":"对于老年人,使用OsteoProbe获得的低平均骨材料强度指数值差异更大","authors":"Kara B. Anderson , Pamela Rufus-Membere , Jacob W. Harland , Julie A. Pasco , Adolfo Diez-Perez , Mark A. Kotowicz , Kara L. Holloway-Kew","doi":"10.1016/j.bonr.2023.101727","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>Bone Material Strength Index (BMSi) quantifies the resistance of bone to a specified force in vivo at the mid tibia using impact microindentation (IMI). Anecdotal evidence suggests that within-participant variance in BMSi may be associated with the individual's mean BMSi. This study aimed to investigate associations between mean and variance of IMI measures in a population-based study.</p></div><div><h3>Methods</h3><p>Participants were men (<em>n</em> = 420) and women (<em>n</em> = 55) from the Geelong Osteoporosis Study who underwent BMSi measurement using the OsteoProbe at recent follow-up phases (men 2016–2022; women 2022–2023). Median age was 63.7 yr (IQR 53.0–71.8). BMSi standard deviation was skewed and therefore natural log transformed (referred to as ln-SD). Linear regression models were developed with ln-SD as the dependent variable and mean BMSi as the independent variable adjusting for sex, age, height and weight.</p></div><div><h3>Results</h3><p>In unadjusted models, greater BMSi was associated with lower ln-SD (β = −1.58, <em>p</em> = 0.042). This association was sustained after adjustment (<em>p</em> = 0.013), and an interaction between BMSi and age was observed (<em>p</em> = 0.004). In those aged 63.7 yr and over (median age), mean BMSi was inversely associated with ln-SD (β = −3.22, <em>p</em> = 0.002). Sex was not identified as an effect modifier. In younger participants, no BMSi*ln-SD association was observed.</p></div><div><h3>Conclusion</h3><p>In older men and women, there was greater variance in low BMSi values. This suggests that standard deviation of the BMSi measure may provide additional information in the assessment of bone health and is worthy of further investigation.</p></div><div><h3>Mini abstract</h3><p>In older men and women, greater variance is observed when BMSi values are low, reflecting potential variation in the bone surface.</p></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352187223000736/pdfft?md5=328b8b1ccf43cac50640b1aa38bfbf64&pid=1-s2.0-S2352187223000736-main.pdf","citationCount":"0","resultStr":"{\"title\":\"For older individuals there is greater variance in low mean Bone Material Strength Index values obtained with the OsteoProbe\",\"authors\":\"Kara B. Anderson , Pamela Rufus-Membere , Jacob W. Harland , Julie A. 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Linear regression models were developed with ln-SD as the dependent variable and mean BMSi as the independent variable adjusting for sex, age, height and weight.</p></div><div><h3>Results</h3><p>In unadjusted models, greater BMSi was associated with lower ln-SD (β = −1.58, <em>p</em> = 0.042). This association was sustained after adjustment (<em>p</em> = 0.013), and an interaction between BMSi and age was observed (<em>p</em> = 0.004). In those aged 63.7 yr and over (median age), mean BMSi was inversely associated with ln-SD (β = −3.22, <em>p</em> = 0.002). Sex was not identified as an effect modifier. In younger participants, no BMSi*ln-SD association was observed.</p></div><div><h3>Conclusion</h3><p>In older men and women, there was greater variance in low BMSi values. 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For older individuals there is greater variance in low mean Bone Material Strength Index values obtained with the OsteoProbe
Purpose
Bone Material Strength Index (BMSi) quantifies the resistance of bone to a specified force in vivo at the mid tibia using impact microindentation (IMI). Anecdotal evidence suggests that within-participant variance in BMSi may be associated with the individual's mean BMSi. This study aimed to investigate associations between mean and variance of IMI measures in a population-based study.
Methods
Participants were men (n = 420) and women (n = 55) from the Geelong Osteoporosis Study who underwent BMSi measurement using the OsteoProbe at recent follow-up phases (men 2016–2022; women 2022–2023). Median age was 63.7 yr (IQR 53.0–71.8). BMSi standard deviation was skewed and therefore natural log transformed (referred to as ln-SD). Linear regression models were developed with ln-SD as the dependent variable and mean BMSi as the independent variable adjusting for sex, age, height and weight.
Results
In unadjusted models, greater BMSi was associated with lower ln-SD (β = −1.58, p = 0.042). This association was sustained after adjustment (p = 0.013), and an interaction between BMSi and age was observed (p = 0.004). In those aged 63.7 yr and over (median age), mean BMSi was inversely associated with ln-SD (β = −3.22, p = 0.002). Sex was not identified as an effect modifier. In younger participants, no BMSi*ln-SD association was observed.
Conclusion
In older men and women, there was greater variance in low BMSi values. This suggests that standard deviation of the BMSi measure may provide additional information in the assessment of bone health and is worthy of further investigation.
Mini abstract
In older men and women, greater variance is observed when BMSi values are low, reflecting potential variation in the bone surface.
Bone ReportsMedicine-Orthopedics and Sports Medicine
CiteScore
4.30
自引率
4.00%
发文量
444
审稿时长
57 days
期刊介绍:
Bone Reports is an interdisciplinary forum for the rapid publication of Original Research Articles and Case Reports across basic, translational and clinical aspects of bone and mineral metabolism. The journal publishes papers that are scientifically sound, with the peer review process focused principally on verifying sound methodologies, and correct data analysis and interpretation. We welcome studies either replicating or failing to replicate a previous study, and null findings. We fulfil a critical and current need to enhance research by publishing reproducibility studies and null findings.