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Journal Article

Citation

Mashimo S, Gilmour S. Injury 2023; ePub(ePub): ePub.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.injury.2023.111138

PMID

37867027

Abstract

BACKGROUND: Falls are a significant public health issue in aging societies. This study aimed to examine the temporal, seasonal, and spatial patterns in fall-related mortality in Japan, and to investigate the potential factors associated with fall-related mortality.

METHODS: The number of unintentional fall-related deaths from 1979 to 2019 were obtained from Japanese vital statistics and crude and direct age-standardized mortality rates (DSR) were calculated. We also calculated the standardized mortality ratio (SMR) to determine seasonal and prefectural differences. In addition, spatial regression was conducted to examine the potential factors associated with fall-related mortality.

RESULTS: The DSR among those over 65 years old showed a decreasing trend from 1979, but remained unchanged from 1990 to 2019. Based on the spatial regression model, the factors significantly associated with SMRs were the proportion of the aged population (Coefficient: 0.049), the number of hospitals (0.118), the number of clinics (1.169), the number of hospital beds (-0.060), and the number of physiotherapists (-0.069) for men; and the proportion of aged single households (-0.060), the number of hospitals (0.132), the number of clinics (1.498), the number of hospital beds (-0.051), and the number of physicians (-0.308) for women.

CONCLUSIONS: Fall-related mortality among Japanese elderly people has remained unchanged in recent years. In addition, seasonal and spatial patterns were also observed, and it was found that demographic data and healthcare resources in the prefectures affected fall-related mortality rates. Appropriate prevention measures of fall-related deaths should be considered according to the region-specific characteristics and issues.


Language: en

Keywords

Fall; Geographical difference; National vital statistics; Spatial regression model

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