RESEARCH ARTICLE


The Physical Activity and Fall Risk Among Iranian Older Male Adults



Mehdi Kushkestani1, Mohsen Parvani1, *, Shiva Ebrahimpour Nosrani1, Sohrab Rezaei1
1 Department of Physiology, Faculty of Physical Education and Sport Sciences, Allameh Tabataba'i University, Tehran Province, Iran


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Creative Commons License
© 2020 Kushkestani et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Physiology, Faculty of Physical Education and Sport Sciences, Allameh Tabataba'i University, Tehran Province, Iran, Tel: +98 9190748248, Fax: +98 21-77863362, E-mail: mparva2020@gmail.com


Abstract

Background:

Fall is a major cause of disability and mortality in the elderly.

Objective:

The aim of the present study was to investigate the relationship between the level of physical activity and falls in elderly men in Tehran.

Methods:

The subjects of this study included 434 elderly males over the age of 60 in Tehran, who were randomly selected from parks in different parts of Tehran. The data was collected from August to September, 2019. The demographic characteristics of the subjects were collected and recorded. Then, body composition and anthropometric indices including weight, body mass index (BMI), height and calf circumferences (CC), waist circumferences (WC) and hip circumferences were measured using a digital scale of OMRON and meter tape. The level of physical activity and nutritional status were calculated using the questionnaires of physical activity scale for the elderly (PASE) and mini nutritional assessment (MNA), respectively. The Short Physical Performance Battery (SPPB) test was used to assess the risk of falling. Statistical analysis of data was performed using SPSS21 software.

Results:

The results of statistical analysis of the data showed a positive and significant relationship between global physical activity level (P<0.000) and subscales of its domains (P<0.000) with fall score and a significant inverse relationship between age and fall score (P<0.000). In addition, it was found that age (P<0.000) and physical activity (P<0.000) are two strong factors in predicting falls in the elderly.

Conclusion:

Based on the resulting positive relationship between physical activity and falls, it can be stated that the using strategies such as increasing sports environments with a focus on exercise, physiologists can play an effective role in preventing falls and related complications in the elderly.

Keywords: Aging, Fall, Health, Dicasability, Physil activity, Physical Performance, Nutritional status.