Examining Fall Risk and Related Factors in Rural Older Adults: A Cross-sectional Study in Yazd Province, Iran

Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JHES-12-2_003

تاریخ نمایه سازی: 26 خرداد 1403

Abstract:

Background and Purpose: Given the high prevalence of age-related diseases and physiological changes in addition to the susceptibility of the elderly to falls, this issue has become a major public health problem. This study assesses the risk of falls and related factors among the elderly living in rural areas. Materials and Methods: This cross-sectional study was conducted on ۳۰۲ elderly people in rural areas of Yazd Province, Iran, using the multi-stage sampling method. They completed a multi-section questionnaire, including demographic questions and the Tinetti gait and balance scale for assessing gait and balance in the elderly. The data were entered into the SPSS software, version ۲۰ and analyzed by the chi-square test and ordinal logistic regression model. The statistical significance level of P<۰.۰۵ was considered in all tests. Results: The results showed that ۳۸.۱% of the participants presented a high fall risk, ۲۰.۵% demonstrated medium risk and ۴۱.۴% showed a low fall risk. Gender, age and visual status had a significant relationship with the risk of falls in the elderly (P<۰.۰۵). The probability of falls in women was ۲.۶ times higher compared to men. Moreover, the likelihood of falls in people with visual impairment was ۱.۷ times higher compared to subjects with no visual impairment and the probability of falls increased by ۱۵% as they aged. Conclusion: Visual impairment, gender, and age factors are diagnosed as related risk factors for falls in rural elderly people. It is recommended to consider these factors for the greater effectiveness of interventions to reduce falls in the elderly.

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Authors

Masoumeh Abbasi-Shavazi

Department of Health Education and Health Promotion, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Sara Jambarsang

Departments of Biostatistics and Epidemiology, Center for Healthcare Data Modeling, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Zainab Anbari-Nogyni

Elderly Health Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Hosseinali Sadeghian

Department of Health Education and Health Promotion, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Vida Sadat Anoosheh

Department of Aging, Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

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