Prevalence and risk factors for falls among community-dwelling adults in Riyadh area

Author:

Alenazi Aqeel M.1,Alanazi Maram F.2,Elnaggar Ragab K.13,Alshehri Mohammed M.4,Alqahtani Bader A.1,Alhowimel Ahmed S.1,Alhwoaimel Norah A.1,Alanazi Ahmad D.5,Alotaibi Mazyad A.1,Almutairi Sattam M.6,Alghamdi Mohammed S.7,Bindawas Saad M.8

Affiliation:

1. Health and Rehabilitation Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Riyadh, Saudi Arabia

2. Occupational Therapy, Sydney University, Sydney, New South Wales, Australia

3. Department of Physical Therapy for Pediatrics, Cairo University, Cairo, Giza, Egypt

4. Physical Therapy, Jazan University, Jazan, Jazan, Saudi Arabia

5. Department of Rehabilitation Science, Majmaah University, Majmaah, Riyadh, Saudi Arabia

6. Department of Physical Therapy, College of Medical Rehabilitation, Qassim University, Buraydah, Qassim, Saudi Arabia

7. Department of Medical Rehabilitation Sciences, Umm Al-Qura University, Makkah, Saudi Arabia

8. Department of Rehabilitation Sciences, King Saud University, Riyadh, Saudi Arabia

Abstract

Objectives This study aimed to assess fall prevalence, identify related risk factors, and establish cut-off scores for fall risk measures among community-dwelling adults in Riyadh region of Saudi Arabia. Methods A cross-sectional study was conducted in community, Riyadh city, Saudi Arabia. A sample of 276 Saudi citizens aged ≥40 years who were able to read and write in Arabic. Fall history and number of falls in the past 12 months were determined via self-reports. Variables assessed included demographic information, self-reported chronic diseases, depressive symptoms, and back pain severity. Results Participants were classified as either fallers (n = 28, 10.14%) or non-fallers. Fallers were more likely to have arthritis (odds ratio [OR]: 7.60, p = 0.001), back pain (OR: 5.22, p = 0.002), and higher depressive symptom scores (OR: 1.09, p = 0.013) than non-fallers. The number of reported falls was significantly associated with an elevated body mass index (incidence rate ratio [IRR]: 1.09, p = 0.045), arthritis (IRR: 8.74, p < 0.001), back pain (IRR: 4.08, p = 0.005), neurological diseases (IRR: 13.75, p < 0.007), and depressive symptoms (IRR: 1.08, p = 0.005). Cut-off scores predictive of falls associated with back pain and depressive symptoms were 1.5 (sensitivity: 0.61; specificity: 0.79; area under the curve [AUC]: 0.70) and 11.5 score (sensitivity: 0.57; specificity: 0.76; AUC: 0.66), respectively. Conclusions The prevalence of falls was relatively low among the individuals considered in this study. Chronic conditions, back pain severity, and depressive symptoms were determined to be associated with falls among community-dwelling individuals in Saudi Arabia.

Funder

Prince Sattam Bin Abdulaziz University project number

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference64 articles.

1. Internal consistency of an Arabic adaptation of the beck depression inventory in four Arab countries;Abdel-Khalek;Psychological Reports,1998

2. Number of medications and polypharmacy are associated with risk of fall in Saudi community-dwelling adults;Alenazi;Saudi Pharmaceutical Journal,2023

3. Prevalence and incidence of osteoarthritis among people living in the Gulf Cooperation Council countries: a systematic review and meta-analysis;Alenazi;Clinical Rheumatology,2021

4. Generalized and localized osteoarthritis and risk of fall among older adults: the role of chronic diseases and medications using real world data from a single center;Alenazi;European Review for Medical & Pharmacological Sciences,2023

5. National and regional prevalence rates of hypertension in Saudi Arabia: a descriptive analysis using the national survey data;Alenazi;Frontiers in Public Health,2023

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