Falls and associated risk factors in a sample of old age population in Egyptian community

Sayed, Abd El Hamied Ibrahim El; Said, M. Sameh; Mohsen, Omnia; Abozied, Aziza M.; Salama, Mohamed

doi:10.3389/fpubh.2023.1068314

Cited by 4 publications

(2 citation statements)

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“…Moreover, falls can have emotional and physical consequences for patients and their caregivers or family members, such as fear of falling, depression, pain, and reduced physical activity. These factors can impair the patient’s recovery and independence 6 .…”

Section: Introductionmentioning

confidence: 99%

A novel lightweight deep learning fall detection system based on global-local attention and channel feature augmentation

Sha

Zhai

et al. 2023

Interdisciplinary Nursing Research

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Background and Objective: Reducing the number of falls in nursing facilities is crucial to prevent significant injury, increased costs, and emotional harm. However, current fall detection systems face a trade-off between accuracy and inference speed. This work aimed to develop a novel lightweight fall detection system that can achieve high accuracy and speed while reducing computational cost and model size. Method: We used convolutional neural networks (CNNs) and the Channel-wise dropout and global local attention module (GLAM) to train a lightweight fall detection model on over 10,000 human fall images from various scenarios. We also applied a channel-based feature augmentation module to enhance the robustness and stability of the model. Results: The proposed model achieved a detection precision of 95.1%, a recall of 93.3%, and a mean average precision (mAP) of 91.8%. It also had a significantly smaller size of 1.09M model parameters and a lower computational cost of 0.12 GFLOPs than existing methods. It could handle up to 20 cameras, simultaneously with a speed higher than 30 fps. Conclusion: The proposed lightweight model demonstrated excellent performance and practicality for fall detection in real-world settings, which could reduce the working pressure on medical staff and improve nursing efficiency.

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Section: Introductionmentioning

confidence: 99%

A novel lightweight deep learning fall detection system based on global-local attention and channel feature augmentation

Sha

Zhai

et al. 2023

Interdisciplinary Nursing Research

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“…Falls are associated with high morbidity and mortality. Various hazards related to falls have been recorded, such as disability, loss of independence, functional decline, and greater fear of falling [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Fall Prevalence and Associated Risk Factors Among the Elderly Population in Tabuk City, Saudi Arabia: A Cross-Sectional Study 2023

Alanazi,

Salih

2023

Cureus

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Background Falls are common among older adults, and they constitute a major public health issue with high morbidity and mortality. Aim This study aimed to estimate the prevalence of falls and investigate the contributing risk factors among the elderly population in Tabuk City, Saudi Arabia. Methods This cross-sectional study recruited a random representative sample of the elderly aged ≥ 60 years. We collected data by interviewing the participants using a structured, Arabic-language questionnaire. It included personal information, a history of falls in the past three and 12 months, comorbidities, and environmental factors. The main outcome was a history of falls in the preceding year. Multivariable logistic regression was used to evaluate the association between potential risk factors and falls. Results The study included 296 participants. Most participants were female (66.9%), aged 60-69 years (68.2%), and married (68.9%). The self-reported prevalence of falls over the preceding 12 months was 25.3% (95% confidence interval (CI): 20.6-30.5). Older people with depressive symptoms had significantly increased vulnerability to falls (adjusted odds ratio (AOR): 0.452, 95% CI: 0.239-0.854). Environmental factors were associated with a 1.799 times (95% CI: 1.041-3.109) increased likelihood of fall, and gait impairment was the strongest risk factor (AOR: 2.775, 95% CI: 1.558-4.942). Conclusions Falls are common among the elderly population in Tabuk City, Saudi Arabia. Gait impairment, the presence of depressive symptoms, and environmental hazards were substantially associated with falls, suggesting that most falls are preventable.

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Proposal for a screening protocol for falls among old subjects attending the audio-vestibular clinic

Fahim,

Samy,

Yousef

2023

Egypt J Otolaryngol

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Background Older adults suffer from falls. 30% of the elderly fall annually in United States of America (Otorhinolaryngol Head Neck Surg. 5:1-4 2020). Falls have also cost society and people heavily. The aim of this study is to identify fall risk factors in elderly visiting the audio-vestibular clinic and propose a screening strategy. Methods The study included 500 elderly participants over 60 years old who visited the audio-vestibular clinic for hearing and/or vestibular evaluations. All participants in this study underwent a full audiological and neuro-otological history, general examination, otological examination, audiological evaluation, and office vestibular testing. Results One hundred fifty-nine out of 500 (32%) of the study group had a history of vertigo, and 153 out of 500 (31%) had fallen at least once in the past two years. Dizziness and age were significantly associated. Dizziness was more common in people over 70 years old. Similar results were found for the fall history and age. Falls were more common in elderly participants with dizziness. 25% of participants with a history of falls had dizziness, compared to 14.5 percent of those without. Systemic diseases and falls were significantly associated. Falls and abnormal office vestibular test results were statistically significant. Multiple regression analysis showed that Diabetes Mellitus, hypertension, orthostatic hypotension, positional and positioning nystagmus, Romberg and Fukuda tests, and falls were all associated. Multiple risk factors cause older adult to fall. Dizziness increases the risk of falling, especially in the elderly. In our study, hypertension and diabetes were the two greatest independent fall risk factors. Office vestibular tests can detect elderly fallers.

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Falls and associated risk factors in a sample of old age population in Egyptian community

Cited by 4 publications

References 36 publications

A novel lightweight deep learning fall detection system based on global-local attention and channel feature augmentation

A novel lightweight deep learning fall detection system based on global-local attention and channel feature augmentation

Fall Prevalence and Associated Risk Factors Among the Elderly Population in Tabuk City, Saudi Arabia: A Cross-Sectional Study 2023

Proposal for a screening protocol for falls among old subjects attending the audio-vestibular clinic

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