Seasonality of hip fractures and estimates of season-attributable effects: A multivariate ARIMA analysis of population-based data

H. C. Lin, S. Xiraxagar

研究成果: 雜誌貢獻文章同行評審

42 引文 斯高帕斯(Scopus)

摘要

Introduction: This study examined seasonal variations in hip fracture rates using nation-wide, population-based data from Taiwan, a subtropical island with fairly uniform weather conditions (mean ambient temperature difference of 11.3°C between peak summer and peak winter months). Methods: All inpatients aged 45+ years included in the National Health Insurance Database between 1997 and 2003 and bearing an ICD diagnosis code 820 (fracture neck of femur) were included (n=102,792 cases). Results: Auto-regressive integrated moving average (ARIMA) modeling showed significant seasonality and an association of monthly hip fracture admission rates with ambient temperature among both sexes and all three age groups, 45-64, 65-74, and 75+ years. Crude rates show a significant trough during May-August (late spring and summer), followed by a sharp increase in September, and a discernible peak during November-February (late autumn and winter). Adjusted for seasonality, trend, and month, hip fracture rates are significantly reduced among males (b= -0.280, p

原文英語
頁(從 - 到)795-806
頁數12
期刊Osteoporosis International
17
發行號6
DOIs
出版狀態已發佈 - 六月 2006

ASJC Scopus subject areas

  • 醫藥 (全部)

指紋

深入研究「Seasonality of hip fractures and estimates of season-attributable effects: A multivariate ARIMA analysis of population-based data」主題。共同形成了獨特的指紋。

引用此