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. 2021 Jun;33(2):62-70.
doi: 10.5371/hp.2021.33.2.62. Epub 2021 Jun 4.

Injury Mechanisms of Hip Fractures in India

Affiliations

Injury Mechanisms of Hip Fractures in India

Jaiben George et al. Hip Pelvis. 2021 Jun.

Abstract

Purpose: Hip fractures are a major cause of morbidity and mortality in the elderly; however, the current literature on the injury patterns of hip fractures in India is lacking. Understanding the injury profile of these patients is important to develop targeted interventions to prevent hip fractures.

Materials and methods: This was a prospective study of all hip fracture patients aged 50 years or older admitted from February 2019 to December 2019. Details about the injury were recorded by an in-person interview. Multivariate logistic regression analysis was used to identify the factors associated with any particular injury mechanism.

Results: Two hundred and eighty-three hip fractures were included. The mechanism of injury for the majority of patients was a fall from a standing height (n=217, 76.7%) while 60 patients (21.2%) were injured as the result of a road traffic accident (RTA). Slipping on a wet floor (n=49, 22.6%) and change in posture (n=35, 16.1%) were the most commonly reported reasons for falling. Pedestrian injuries were the most common form of RTA (n=29, 48.3%). Increasing age (P<0.001) and female sex (P=0.001) were associated with fall as the mode of injury while sustaining another fracture in addition to hip fracture (P=0.032) was associated with RTA as the mode of injury.

Conclusion: A fall from standing height is the predominant mode of injury among elderly hip fractures especially among women. Environmental hazards and postural changes are responsible for the majority of falls while pedestrian accidents contribute to a majority of the RTAs.

Keywords: Hip fractures; Hip injuries; Multiple trauma; Osteoporotic fractures.

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Conflict of interest statement

CONFLICT OF INTEREST: The authors declare that there is no potential conflict of interest relevant to this article.

Figures

Fig. 1
Fig. 1. The coefficient plot of a multivariate logistic regression model showing the effect of different variables in predicting the mechanism of injury. The odds ratio along with the 95% confidence intervals are given for the significant predictors of fall as the mechanism of injury.

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