Suppr超能文献

社区居住老年人非椎体骨折的危险因素:新西兰一项为期10年的随访研究。

Risk factors for non-vertebral fractures in community-dwelling elderly: a 10-year follow-up study in New Zealand.

作者信息

Liu Haixia, Wu Zhenqiang, Scragg Robert

机构信息

Section of Epidemiology & Biostatistics, School of Population Health, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.

Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.

出版信息

Arch Osteoporos. 2025 Apr 9;20(1):44. doi: 10.1007/s11657-025-01530-7.

Abstract

UNLABELLED

This 10-year study of 5000 + adults aged 50-84 found 20% experienced non-vertebral fractures. Higher risk was linked to female sex, older age, European ethnicity, lower education, living alone, alcohol use, prior falls/fractures, osteoporosis, arthritis, and antidepressants. Targeting modifiable factors (living arrangements, alcohol, antidepressants) could reduce fracture burden cost-effectively in older adults.

BACKGROUND

Although there has been extensive research on non-vertebral fractures, their risk factors remain incompletely understood. This study aimed to examine risk factors associated with non-vertebral fractures through a longitudinal examination of a community-dwelling cohort.

METHODS

This was a follow-up of participants recruited from family practices into a randomized trial of vitamin D supplementation and interviewed between 2011 and 2012, with follow-up until 2022. The outcome was the first non-vertebral fracture during the follow-up period, as identified from hospital events and insurance claims for fractures. Candidate risk factors were selected using a domain-based approach, and Cox models were employed to estimate adjusted hazard ratios (HRs).

RESULTS

The analysis comprised 5108 participants aged 50-84 years. Of these, 83% were of European/other ethnicity. A substantial proportion reported living with non-family members or living alone (20.5%), engaging in daily drinking (21.6%), or using antidepressants (11.9%). Over a median 10-year follow-up, 1016 participants (20%) experienced non-vertebral fractures. In the multivariable model, several factors were related to higher risk of non-vertebral fracture, including females (HR = 1.53), aged 80-84 years (HR = 1.47), European/other ethnicity, primary school education (HR = 1.65), living with non-family members (HR = 1.47) or living alone (HR = 1.29), daily alcohol drinking (HR = 1.51), history of falls (HR = 1.59) or fractures (HR = 1.43), osteoporosis (HR = 1.95), and arthritis (HR = 1.20), and dispensing of antidepressants (HR = 1.52) and antiarrhythmic medications (HR = 1.51).

CONCLUSION

Non-vertebral fractures are prevalent among older adults, with several prevalent and potentially modifiable risk factors identified, such as living situation, drinking habits, and antidepressant dispensing. Further exploration of these factors' causality and the implementation of public health interventions targeting them, could yield significant benefits and cost-effectively reduce the burden of fractures.

TRIAL REGISTRATION

This study was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12611000402943).

摘要

未标注

这项针对5000多名50 - 84岁成年人的10年研究发现,20%的人经历过非椎骨骨折。较高风险与女性、年龄较大、欧洲种族、教育程度较低、独居、饮酒、既往跌倒/骨折、骨质疏松症、关节炎以及使用抗抑郁药有关。针对可改变因素(生活安排、饮酒、抗抑郁药)进行干预,可有效降低老年人骨折负担的成本。

背景

尽管对非椎骨骨折进行了广泛研究,但其风险因素仍未完全明确。本研究旨在通过对一个社区居住队列的纵向观察,探究与非椎骨骨折相关的风险因素。

方法

这是一项对从家庭医疗诊所招募的参与者进行的随访研究,这些参与者被纳入一项维生素D补充剂随机试验,并于2011年至2012年接受访谈,随访至2022年。结局指标是随访期间首次发生的非椎骨骨折,通过医院事件记录和骨折保险理赔来确定。采用基于领域的方法选择候选风险因素,并使用Cox模型估计调整后的风险比(HRs)。

结果

分析纳入了5108名年龄在50 - 84岁的参与者。其中,83%为欧洲/其他种族。相当一部分人报告与非家庭成员同住或独居(20.5%)、每日饮酒(21.6%)或使用抗抑郁药(11.9%)。在中位10年的随访期内,1016名参与者(20%)经历了非椎骨骨折。在多变量模型中,几个因素与非椎骨骨折风险较高相关,包括女性(HR = 1.53)、80 - 84岁(HR = 1.47)、欧洲/其他种族、小学教育程度(HR = 1.65)、与非家庭成员同住(HR = 1.47)或独居(HR = 1.29)、每日饮酒(HR = 1.51)、有跌倒史(HR = 1.59)或骨折史(HR = 1.43)、骨质疏松症(HR = 1.95)、关节炎(HR = 1.20),以及使用抗抑郁药(HR =

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c465/11982128/784f21e6a841/11657_2025_1530_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验