Forecasting fractures: Weather-associated variability in hip fracture and isolated distal radius fracture incidence

IF 3 3区 地球科学 Q2 BIOPHYSICS
Harlene Kaur, Emma Proffitt, Samuel W. Rice, Michael G. Flood, Scott Pascal
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Abstract

Introduction

Low-energy hip fractures (HFs) and distal radius fractures (DRFs) are common orthopedic injuries. Although winter increases same-level, low-energy fall rates, the role of specific weather variables, and whether these effects differ by age or fracture type, remains unclear.

Objective

To evaluate weekly association between weather conditions and HF and DRF incidence over eight-years using age-stratified statistical models.

Methods

Retrospective review of 1882 HF and 444 DRF patients presenting to a single Level 1 trauma center from January 2017-March 2025. Daily local weather data were merged with injury dates and aggregated into weekly counts. Separate negative binomial regression models were run by fracture type and age group to evaluate associations between weekly mean temperature, relative humidity, rainy days, snow days, and near-freezing days and fracture incidence.

Results

Weather-fracture relationships varied by age and fracture type. For HFs, rain days correlated with higher incidence in older and geriatric adults, while snow days were strongest in younger adults. For DRFs, rain and snow days increased incidence in both age groups, especially < 65 years. Higher relative humidity was protective in the oldest DRF cohort. Temperature showed a weak association with increased DRF incidence in younger adults and decreased HF incidence in younger adults.

Conclusion

Specific meteorologic conditions, not just seasons, were meaningfully associated with fracture incidence, with effects differing by age and fracture type. Age-stratified weather models may improve orthopedic preparedness, resource allocation, and fall-prevention strategies. As climate change increases precipitation variability and freeze-thaw cycles, weather-fracture associations become important for planning and prevention.

预测骨折:髋部骨折和孤立桡骨远端骨折发生率的天气相关变异性。
低能髋骨折(HFs)和桡骨远端骨折(DRFs)是常见的骨科损伤。尽管冬季增加了相同水平、低能量的跌倒率,但特定天气变量的作用,以及这些影响是否因年龄或骨折类型而异,仍不清楚。目的:利用年龄分层统计模型评估8年来每周天气状况与HF和DRF发病率之间的关系。方法:回顾性分析2017年1月至2025年3月在单一一级创伤中心就诊的1882例HF和444例DRF患者。每天的当地天气数据与受伤日期合并,汇总成每周的统计数据。根据骨折类型和年龄组分别建立负二项回归模型,评估周平均温度、相对湿度、雨天、下雪天和接近冰点的天数与骨折发生率之间的关系。结果:气候与骨折的关系因年龄和骨折类型而异。对于hf,雨天与老年人和老年成年人的发病率较高相关,而雪天在年轻人中发病率最高。结论:特定的气象条件,而不仅仅是季节,与骨折发生率有显著的关系,其影响因年龄和骨折类型而异。年龄分层天气模型可以改善骨科准备、资源分配和预防跌倒策略。由于气候变化增加了降水变率和冻融循环,天气断裂关联对规划和预防变得重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
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