Risk factors of falls in elderly patients with visual impairment

ObjectiveTo examine the risk factors for falls in elderly patients with visual impairment (VI) and assess the predictive performance of these factors.MethodsBetween January 2019 and March 2021, a total of 251 elderly patients aged 65–92 years with VI were enrolled and then prospectively followed up...

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Main Authors: Shuyi Ouyang, Chunwen Zheng, Zhanjie Lin, Xiaoni Zhang, Haojun Li, Ying Fang, Yijun Hu, Honghua Yu, Guanrong Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Public Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.984199/full
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author Shuyi Ouyang
Chunwen Zheng
Chunwen Zheng
Zhanjie Lin
Zhanjie Lin
Xiaoni Zhang
Haojun Li
Ying Fang
Yijun Hu
Honghua Yu
Guanrong Wu
Guanrong Wu
author_facet Shuyi Ouyang
Chunwen Zheng
Chunwen Zheng
Zhanjie Lin
Zhanjie Lin
Xiaoni Zhang
Haojun Li
Ying Fang
Yijun Hu
Honghua Yu
Guanrong Wu
Guanrong Wu
author_sort Shuyi Ouyang
collection DOAJ
description ObjectiveTo examine the risk factors for falls in elderly patients with visual impairment (VI) and assess the predictive performance of these factors.MethodsBetween January 2019 and March 2021, a total of 251 elderly patients aged 65–92 years with VI were enrolled and then prospectively followed up for 12 months to evaluate outcomes of accidental falls via telephone interviews. Information of demographics and lifestyle, gait and balance deficits, and ophthalmic and systemic conditions were collected during baseline visits. Forward stepwise multivariable logistic regression analysis was performed to identify independent risk factors of falls in elderly patients with VI, and a derived nomogram was constructed.ResultsA total of 143 falls were reported in 251 elderly patients during follow-up, with an incidence of 56.97%. The risk factors for falls in elderly patients with VI identified by multivariable logistic regression were women [odds ratio (OR), 95% confidence interval (CI): 2.71, 1.40–5.27], smoking (3.57, 1.34–9.48), outdoor activities/3 months (1.31, 1.08–1.59), waking up frequently during the night (2.08, 1.15–3.79), disorders of balance and gait (2.60, 1.29–5.24), glaucoma (3.12, 1.15–8.44), other retinal degenerations (3.31, 1.16–9.43) and best-corrected visual acuity (BCVA) of the better eye (1.79, 1.10–2.91). A nomogram was developed based on the abovementioned multivariate analysis results. The area under receiver operating characteristic curve of the predictive model was 0.779.ConclusionsGender, smoking, outdoor activities, waking up at night, disorders of balance and gait, glaucoma, other retinal degeneration and BCVA of the better eye were independent risk factors for falls in elderly patients with VI. The predictive model and derived nomogram achieved a satisfying prediction of fall risk in these individuals.
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spelling doaj.art-7fe7897ef51c48eb8956d5941ee6425e2022-12-22T04:41:13ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-08-011010.3389/fpubh.2022.984199984199Risk factors of falls in elderly patients with visual impairmentShuyi Ouyang0Chunwen Zheng1Chunwen Zheng2Zhanjie Lin3Zhanjie Lin4Xiaoni Zhang5Haojun Li6Ying Fang7Yijun Hu8Honghua Yu9Guanrong Wu10Guanrong Wu11Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGraduate School, Shantou University Medical College, Shantou, ChinaDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGraduate School, Shantou University Medical College, Shantou, ChinaDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaSchool of Medicine, South China University of Technology, Guangzhou, ChinaObjectiveTo examine the risk factors for falls in elderly patients with visual impairment (VI) and assess the predictive performance of these factors.MethodsBetween January 2019 and March 2021, a total of 251 elderly patients aged 65–92 years with VI were enrolled and then prospectively followed up for 12 months to evaluate outcomes of accidental falls via telephone interviews. Information of demographics and lifestyle, gait and balance deficits, and ophthalmic and systemic conditions were collected during baseline visits. Forward stepwise multivariable logistic regression analysis was performed to identify independent risk factors of falls in elderly patients with VI, and a derived nomogram was constructed.ResultsA total of 143 falls were reported in 251 elderly patients during follow-up, with an incidence of 56.97%. The risk factors for falls in elderly patients with VI identified by multivariable logistic regression were women [odds ratio (OR), 95% confidence interval (CI): 2.71, 1.40–5.27], smoking (3.57, 1.34–9.48), outdoor activities/3 months (1.31, 1.08–1.59), waking up frequently during the night (2.08, 1.15–3.79), disorders of balance and gait (2.60, 1.29–5.24), glaucoma (3.12, 1.15–8.44), other retinal degenerations (3.31, 1.16–9.43) and best-corrected visual acuity (BCVA) of the better eye (1.79, 1.10–2.91). A nomogram was developed based on the abovementioned multivariate analysis results. The area under receiver operating characteristic curve of the predictive model was 0.779.ConclusionsGender, smoking, outdoor activities, waking up at night, disorders of balance and gait, glaucoma, other retinal degeneration and BCVA of the better eye were independent risk factors for falls in elderly patients with VI. The predictive model and derived nomogram achieved a satisfying prediction of fall risk in these individuals.https://www.frontiersin.org/articles/10.3389/fpubh.2022.984199/fullvisual impairmentelderly patientsfallsrisk factorprediction tool
spellingShingle Shuyi Ouyang
Chunwen Zheng
Chunwen Zheng
Zhanjie Lin
Zhanjie Lin
Xiaoni Zhang
Haojun Li
Ying Fang
Yijun Hu
Honghua Yu
Guanrong Wu
Guanrong Wu
Risk factors of falls in elderly patients with visual impairment
Frontiers in Public Health
visual impairment
elderly patients
falls
risk factor
prediction tool
title Risk factors of falls in elderly patients with visual impairment
title_full Risk factors of falls in elderly patients with visual impairment
title_fullStr Risk factors of falls in elderly patients with visual impairment
title_full_unstemmed Risk factors of falls in elderly patients with visual impairment
title_short Risk factors of falls in elderly patients with visual impairment
title_sort risk factors of falls in elderly patients with visual impairment
topic visual impairment
elderly patients
falls
risk factor
prediction tool
url https://www.frontiersin.org/articles/10.3389/fpubh.2022.984199/full
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