Abstract
Introduction
Low vision has a significant global health problem that impacts the personal, economical, psychological, and social life of an individual. Each year around 684 000 individuals die from falls, 80% of these deaths occur are in low- and middle-income countries. The risk of falling significantly increases with visual impairment. This review aimed to determine the global pooled prevalence of fall and associated factors among individuals with low vision.
Methods and materials
Systematic search of published studies done on PubMed, EMBASE, MEDLINE, Cochrane, Scopus, Web of Science CINAHL and, Google Scholar. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used to report the findings. Quality of studies was assessed using the modified Newcastle-Ottawa Scale (NOS). Meta-analysis was performed using a random-effects method using the STATA™ Version 14 software.
Result
Thirty-five (35) studies from different regions involving 175,297 participants included in this meta-analysis. The overall pooled global prevalence fall among individual with low vision was17.7% (95% CI: 16.4–18.9) whereas the highest prevalence was 35.5%; (95% CI: 28.4–42.5) in Australia and the lowest was 19.7%; (95% CI: 7.6–31.8) seen in South America. Fear of falling (OR: 0.16(95%CI 0.09–0.30), and severity of visual impairment (OR: 0.27(95%CI (0.18–0.39) increases the odds of falling.
Conclusion
As one cause of accidental death, the prevalence of falls among individuals with low vision is high. Fear of falling and severity of falling increases the odds of falling. Different stakeholders should give due attention and plan effective strategies to reduce the fall among this population.
Introduction
Low vision is the existence of a visual impairment that results in a disability or a vision loss that can’t be corrected by medical or surgical treatments or conventional eyeglasses [1]. According to the World Health Organization (WHO), a person with low vision is a one who has impairment of visual functioning even after treatment and/or refractive correction, and has a visual acuity of less than 6/18 to light perception, or a visual field of less than 10° from the point of fixation, but who uses, or is potentially capable to use, vision for the planning and/or performing of activities [2].
According to different studies, the causes of low vision include: cataract, nystagmus, retinopathy, optic atrophy, glaucoma, refractive error, retinal disorders, albinism, and retinitis pigmentosa [3–5]. It has a significant global health problem that impacts the personal, economical, psychological, and social life of an individual [6, 7]. It also affects health -related quality of life [8–11],.reduces functioning [12], and generally it has a substantial impact on activities of daily living [13]. In addition, the low vision adversely affects balance ability; increase mortality risks, and results in deterioration in physical functioning [14–16].
Worldwide, falls are the next prominent causes of unintended injury deaths. Each year an approximately 684,000 individuals die from falls, of which over 80% are in Low- and Middle-Income Countries (LMIC) [17]. Studies indicated that the risk of falling is significantly correlated with vision related impairment [18, 19].
Besides globally, 1.1 billion people are known living with vision loss, from these 43 million people are blind, 295 million people have moderate to severe visual impairment, 258 million people have mild visual impairment, and 510 million people have near vision problems [20]. The number of blind persons increased from 34.4 million in 1990 to 49.1 million in 2020 [21]. As its prevalence increases, the occurrence of fall accident will be also expected to rise.
Even though of the increased burden of low vision in different parts of the world, there are a number of barriers to access the low vision services: which include lack of awareness of services by people with low vision, many people do not identify themselves as having low vision [22], mental health problems, denial of need for low-vision aid, poor physical health, lack of transportation, lack of referrals, communication failure, misconceptions of the service, negative societal views, influence of family and friends, insufficient visual impairment to warrant services, cost of the service, reduced perception of vision loss relative to other losses in life, and educational level [23, 24]. On the behalf of the health professionals, there is a lack of awareness about low vision services [25], and lack of awareness on referral criteria and available low vision care [26].
Vision loss and fall are interrelated, studies show that vision loss is high among those who fall, and vision loss may also be a contributing factor to falls [27, 28]. If an individual encounters a fall, it results poor health and well-being, decreased activity of daily living, and social participation, lower life satisfaction, and it affects the quality of life of the individuals [29–32]. Identifying the various factors that may contribute to falls in this population, especially those that may be modifiable will help in reducing the incidence of falling. So this systematic review and meta-analysis aimed to determine the global pooled prevalence of fall and associated factors among individuals with low vision.
Objectives of the review
✓ To determine the pooled global prevalence of falls among individuals with low vision
✓ To identify the associated factors falls among individuals with low vision
Methods and materials
Inclusion and exclusion criteria
✓ The studies were included in the analysis if
✓ The study participants were individuals with low vision (visual acuity >0.3 logmar (6/12 Snellen)
✓ The prevalence of falls among individuals with low vision was reported.
✓ It reported on fall related injury within the past two years
✓ Reported fall were among adults.
✓ Both published and unpublished studies till December 2023 will be included in this analysis. Studies were excluded if
✓ Overall prevalence of fall in individual with low vision not report.
✓ It had greater study duration either prospectively or retrospectively.
✓ The prevalence of fall after corrective surgery.
Information sources, search strategy, and study selection
Primarily, electronic searches were used to extract studies. PubMed, Scopus, Web of Science, JStore, and African journal online databases were used. The Cochrane acronym POCC (population, Condition, and Context) related key terms were used to retrieve studies in PubMed. The key terms used were, “Low vision OR visual impairment OR vision loss OR Ophthalmic conditions OR Low vision status OR declining vision OR vision impairment OR vision loss OR Visual field loss OR poor vision OR lowered vision OR fall OR “injury”. Search limiters, such as study design and language of publication, were used. The identified articles were then exported into EndNote version 7.0 to remove duplicates. Also, manual and references searching was done to include studies not indexed in above mentioned sites. Finally the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement 2020 guidelines was used to report this study [33].
Data collection process
After agreement with the search strategy, data extraction was done by all authors independently by using a data extraction format prepared in a Microsoft Excel 2013 spreadsheet; containing author’s name, publication year, study design, sample size, setting, the prevalence of fall among individuals with low vision.and associated factors
Data items
The primary outcome of this review is the global pooled prevalence of fall among individuals with low vision and the secondary outcome is the factors affecting fall among individuals with low vision. All variables of low vision or the causes of low vision were independently searched as outcome variable.
Study risk of bias assessment /quality assessment of studies
The modified Newcastle-Ottawa Scale (NOS) for cross-sectional studies was used to assess the quality of studies, which has three components categorised as Selection, Comparatively, and outcome assessment methods, which scores out of 10. Studies that scored five or more on the NOS were included [34]. Any disagreement while assessing the quality of the study was resolved through careful examine of the studies together by all authors.
Effect measures
The prevalence fall among individuals with low vision proportion were taken to measure the effect; whereas for the associated factors odds ratio was taken.
Data analysis and synthesis methods
After the abstraction of all eligible studies; the data were exported to Stata software version 14 for analysis. For studies that reported the overall prevalence of fall in individuals with and without low vision, the proportion was calculated by considering of those individuals with low vision as denominator. A random-effects model was used considering the heterogeneity of studies. The study heterogeneity was assessed using Higgin’s I2 and Cochran’s Q method. I2 values of 25%, 50%, and 75% were considered low, moderate, and high heterogeneity, respectively. Subgroup analysis was also conducted by region. Also, funnel plot and Egger’s test were used to check publication bias. Sensitivity analyses were conducted to assess robustness of the synthesized results.
Results
Study selection and characteristics
The search strategy retrieved 4,986 published original articles. After the removal of duplicate articles, 3785 articles remained. Following further screening, 984 articles were assessed for eligibility, of which 949 articles were excluded because they did not report the outcome of interest and did not fulfill the inclusion criteria. Finally, 35 studies were included in the analysis (Fig 1).
Fig 1. PRISMA flow diagram of study selection for the global prevalence of fall among individual with low vision.
The 1 included [35–69] studies had 175,297 study participants with 31employing a cross-sectional design, 3 cohort, and 1 case control study design. The final sample size ranged from 48 [69]– 94,311 [49]. Most studies were conducted in North America, and the prevalence of fall ranges from 0.0176 [38] - 74 [60] (Table 1).
Table 1. Characteristics of the studies included in the systematic review and meta-analysis.
| Authors Name | Publication Year | Study area | Study design | sample | Prevalence%(95%CI) |
|---|---|---|---|---|---|
| Gashaw M, et al | 2020 | Gondar | Cross -sectional | 328 | 26.8(22.0–31.5) |
| Mengste YL, et al | 2023 | Addis Ababa | Cross-sectional | 487 | 36.1(31.8–40.3) |
| Gashaw M, Adie Admass B. | 2021 | Gondar | Cross -sectional | 320 | 24.7(19.9–29.4) |
| KANG MJ, RIM TH, KIM SS. | 2016 | South Korea | Cross -sectional | 28899 | 0.0176(0.0023–0.032) |
| Lamoreux EL, et al | 2008 | Singapore | Cross -sectional | 1190 | 40.3(37.5–43.08) |
| Gupta P, et al | 2023 | Singapore | Cross -sectional | 1972 | 16.3(14.6–17.9) |
| Kuang TM, et al | 2008 | China | Cross -sectional | 1361 | 4.6(3.48–5.71) |
| Lamoureux E, et al | 2010 | Australia | Cross -sectional | 127 | 40(31.47–48.52) |
| Yip JL, et al | 2014 | UK | Cross- sectional | 8317 | 26.7(25.74–27.65) |
| Campagna G, et al | 2018 | USA | Cross -sectional | 809 | 7.4(5.59–9.20) |
| BOptom RQ, et al | 1998 | Australia | Cross -sectional | 3299 | 24.9(23.42–26.37) |
| Mehta J, et al | 2021 | UK | Cross -sectional | 585 | 16.4(13.39–19.40) |
| Freeman EE, et al | 2007 | USA | Cross -sectional | 2312 | 29(27.15–30.84) |
| Marmamula S, et al | 2020 | India | Cross -sectional | 1074 | 38(35.09–40.90) |
| Crews JE, et al | 2016 | USA | Cross -sectional | 94311 | 28.9(28.61–29.18) |
| Ouyang S, et al | 2022 | China | Cross -sectional | 251 | 56.9(50.77–63.02) |
| Kulmala J, et al | 2008 | Finland | Cross -sectional | 188 | 53.7(46.57–60.82) |
| Krishnaiah S, Ramanathan RV | 2018 | India | Cross -sectional | 382 | 13.8(10.34–17.25) |
| To KG, et al | 2014 | Vietnam | Cross -sectional | 413 | 13(9.75–16.24) |
| Coleman AL. et al | 2007 | USA | Cross -sectional | 4071 | 16(14.87–17.12) |
| Black AA, e al | 2008 | Australia | Cross -sectional | 65 | 35(23.40–46.59) |
| Bhorade AM, et al | 2021 | USA | Cross -sectional | 138 | 36(27.99–44.0) |
| Black AA, et al | 2011 | Australia | Cross -sectional | 71 | 44(32.45–55.54) |
| Baig S, et al | 2016 | USA | Cross -sectional | 116 | 25(17.11–32.88) |
| Patino CM, et al | 2010 | USA | Cross- sectional | 3203 | 19(17.64–20.35) |
| Wood JM, et al | 2011 | Australia | Cross- sectional | 76 | 74(64.13–83.86) |
| Moghadam AN, et al | 2015 | Iran | Case-control | 48 | 22.9(11.01–34.78) |
| Pattaramongkolrit S, et al | 2013 | Thailand | Cross- sectional | 278 | 37.8(32.10–43.49) |
| McCarty CA, et al | 2002 | Australia | Cross- sectional | 2343 | 20(18.38–21.61) |
| Kwan MM, et al | 2012 | Taiwan | Cross- sectional | 260 | 44.5(38.45–50.54) |
| Rosenblatt TR, et al | 2023 | USA | Cohort | 13385 | 0.063(0.020–0.105) |
| Glynn RJ, et al | 1991 | USA | Cross- sectional | 489 | 9.6(6.98–12.21) |
| Ehrlich JR, et al | 2019 | USA | Cross- sectional | 3933 | 27.6(26.20–28.99) |
| Lord SR, Dayhew J. | 2001 | Australia | Cohort | 148 | 21.7(15.05–28.34) |
| Haymes SA, et al | 2007 | Canada | Cohort | 48 | 35(21.50–48.49) |
Prevalence of fall among individuals with low vision
The overall pooled global prevalence fall among individuals with low vision was 24.1% (95% CI: 22.7, 25.5) with a heterogeneity index of 99.9% and P-value of < 0.001 (Fig 2) and because the Eggers test was found to be significant (P = 0.002), the final pooled prevalence was corrected for Duval and Tweedie’s trim and fill analysis and was found to be 17.7 (95% CI: 16.4–18.9).
Fig 2. Forest plot showing the pooled the global prevalence of fall among individual with low vision.
Meta-regression
Meta-regression was conducted using the year of publication and sample size as a covariate to identify the source of heterogeneity. It was indicated that there is no effect of publication year and sample size on heterogeneity between studies (Table 2).
Table 2. Meta-regression analysis of factors affecting the between-study heterogeneity of depression.
| Heterogeneity source | Coefficients | Std. Err. | P-value |
|---|---|---|---|
| Publication year | -0.2329166 | 0.2990457 | 0.442 |
| Sample size | -0.0003109 | 0.0001802 | 0.094 |
Subgroup analysis
Subgroup analyses revealed a marked variation across continents, with the highest prevalence 35.5%; (95% CI: 28.4–42.5), I2 = 96.1%) in Australia and the lowest 19.7%; (95% CI: 7.6–31.8), I2 = 100%) seen in South America (Fig 3).
Fig 3. Subgroup analysis of the global prevalence of fall among individual with low vision.
Publication bias
The publication bias was statistically tested by the Egger test (P = 0.002); which is significant. The funnel plot indicated publication bias as the graph appeared asymmetrical (Fig 4). After adjusting for publication bias by trim and fill analysis, the funnel plot appeared to be symmetrical (Fig 5).
Fig 4. Funnel plot to test publication bias in 35 studies with 95% confidence limits.
Fig 5. Funnel plot after adjusting the trim and fill analysis.
Sensitivity analysis
Additionally, in this systematic review and meta-analysis, sensitivity analysis was performed to determine how various sources of uncertainty contribute to the overall uncertainty among the studies, but the results indicated that uncertainty has an insignificant influence on pooled prevalence (Fig 6).
Fig 6. Sensitivity analysis of pooled studies.
Sensitivity analysis of pooled the global prevalence of fall among individual with low vision for each study being removed one at a time.
Factor associated factors fall among individual with low vision
Five variables were extracted to identify factors associated with fall among individuals with low vision. Of those, two variables (Fear of falling and Severity of visual impairment) were identified as significant factors (Table 3).
Table 3. Factor associated with fall among individuals with low vision.
| Determinants | Comparison | No of studies | Sample size | OR(95%CI) | P–value | I2 (%) | Heterogeneity test (p value) |
|---|---|---|---|---|---|---|---|
| Depression | Yes vs No | 2 | 648 | 0.98 (0.081–12.07) | 0.992 | 95.8 | < 0.001 |
| Gender | Men vs Women | 4 | 4354 | 0.87 (0.51–1.48) | 0.620 | 85.2 | < 0.001 |
| Taking of medication | Yes vs No | 2 | 648 | 0.991 (0.02–41.42) | 0.996 | 98.9 | < 0.001 |
| Fear of falling | Concerned vs Not concerned at all | 2 | 818 | 0.16 (0.09–0.30) | < 0.001 | 52.1 | 0.148 |
| Severity of visual impairment | Mild vs moderate and severe | 2 | 807 | 0.27 (0.18–0.39) | < 0.001 | 3.2 | 0.309 |
Accordingly, individuals who were concerned about the fear of falling were 88.4% less likely to fall (OR: 0.16(95%CI 0.09–0.30), P<0.001, I2: 52.1%, the heterogeneity test (P = 0.148) than an those not concerned about the fear of falling
Individuals with mild vision impairment 73% less likely to fall (OR: 0.27(95%CI (0.18–0.39)), P<0.001, I2: 3.2%, the heterogeneity test (p = 0.309) than those with moderate and sever vision impairment.
Discussion
In this systematic review and meta- analysis, fall burden and associated factors was assessed among individuals with low vision. Different studies have shown that fall is a prevalent public health problem in the older population; in addition to advancement of their age, the presences of chronic diseases such as visual impairment worsens the problem in this group of individual [18, 70–74].
Globally, the estimated 10 million people who had visual impairment in 2015 are, estimated to be 55.7 million people by 2050 [75]; those patients with visual impairment at higher risk of falling [76].This shows that while the prevalence increases, those individuals are at high risk of health- related problems including falls.
According to our study, the overall pooled global prevalence falls among individuals with low vision was 17.7% (95% CI: 16.4–18.9); which is lower than pooled global prevalence of falls in the older adults 26.5% [77], this might be those individual with low vision take care to not fall knowing that they are at risk of falling compared to other individuals without visual impairment.
In addition, the subgroup analyses showed, the highest prevalence 35.5%; (95% CI: 28.4–42.5) in Australia and the lowest 19.7%; (95% CI: 7.6–31.8) seen in South America. This discrepancy might be due to evidence showing that the burden related to visual impairment and socioeconomic indicators were closely associated; as a result the occurrence of falls increased [78, 79].
In this study, falling was associated with fear of fall. Accordingly, those individuals who are concerned about fear of falling were 88.4% less likely to fall (OR: 0.16(95%CI 0.09–0.30), than those not concerned about the fear of falling. A different study also showed that fear of falling was associated with the occurrence of falls and that the occurrence of falls might contribute to the development of fear of falling [80, 81].
The degree of vision impairment is associated with fall occurrence. In this study, individuals with mild vision impairment 73% less likely to fall (OR: 0.27(95%CI (0.18–0.39) than those with moderate and sever vision impairment. Studies show that the occurrence of repeated falls depends on the level of visual impairment [19, 82, 83].
Conclusion
As one cause for accidental death, the prevalence of fall among individual with low vision is high. Fear of falling and severity of falling increases the odds of falling. Different stakeholders should give due attention and plan effective strategies to reduce the fall among this population.
Limitations of the study
This systematic review and meta-analysis presented the global prevalence of falls among individuals with low vision; however it might have faced the following limitations. First, the lack of studies from South America and Antarctica, may affect the generalizability of the findings to the world. Secondly, due to presence of significant heterogeneity and publication bias, the result should be interpreted cautiously. Finally, we faced difficulties in in comparing our findings due to the lack of regional and worldwide systematic reviews and meta-analysis.
Supporting information
(DOCX)
(XLSX)
Acknowledgments
We would like to thank all authors of studies included in this systematic review and meta-analysis.
Data Availability
All relevant data are within the manuscript and its Supporting Information files.
Funding Statement
The author(s) received no specific funding for this work.
References
- 1.Leat SJ, Legge GE, Bullimore MA. What is low vision? A re-evaluation of definitions. Optometry and Vision Science. 1999. Apr 1;76(4):198–211. doi: 10.1097/00006324-199904000-00023 [DOI] [PubMed] [Google Scholar]
- 2.World Health Organization. The management of low vision in children. Report of a WHO consultation, Bangkok. 1992 Jul 23
- 3.Garzón-Rodríguez MC, Reyes-Figueredo LS, Velandia-Rodríguez LÁ, Méndez-Ruiz OD, Gómez-Rodríguez MA, Esguerra-Ochoa LT, et al. Causes of low vision in children: A systematic review. Archivos de la Sociedad Española de Oftalmología (English Edition). 2023. Feb 1;98(2):83–97. doi: 10.1016/j.oftale.2022.06.016 [DOI] [PubMed] [Google Scholar]
- 4.Thapa R, Bajimaya S, Paudyal G, Khanal S, Tan S, Thapa SS, et al. Prevalence and causes of low vision and blindness in an elderly population in Nepal: the Bhaktapur retina study. BMC ophthalmology. 2018. Dec;18(1):1–0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bakkar MM, Alzghoul EA, Haddad MF. Clinical characteristics and causes of visual impairment in a low vision clinic in northern Jordan. Clinical Ophthalmology. 2018. Apr 3:631–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Alswailmi FK. Global prevalence and causes of visual impairment with special reference to the general population of Saudi Arabia. Pakistan journal of medical sciences. 2018. May;34(3):751. doi: 10.12669/pjms.343.14510 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Boagy H, Jolly J, Ferrey A. Psychological impact of vision loss. Journal of Mental Health and Clinical Psychology. 2022. Nov 10;6(3). [Google Scholar]
- 8.Taipale J, Mikhailova A, Ojamo M, Nättinen J, Väätäinen S, Gissler M, et al. Low vision status and declining vision decrease health-related quality of life: results from a nationwide 11-year follow-up study. Quality of Life Research. 2019. Dec;28:3225–36. doi: 10.1007/s11136-019-02260-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Jammal HM, Khader Y, Kanaan SF, Al-Dwairi R, Mohidat H, Al-Omari R, et al. The Effect of Visual Impairment and Its Severity on Vision-Related and Health-Related Quality of Life in Jordan: A Comparative Cross-Sectional Study. Journal of Multidisciplinary Healthcare. 2023. Dec 31:3043–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Court H, McLean G, Guthrie B, Mercer SW, Smith DJ. Visual impairment is associated with physical and mental comorbidities in older adults: a cross-sectional study. BMC medicine. 2014. Dec;12:1–8. doi: 10.1186/s12916-014-0181-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ekemiri K.K., Botchway E.N., Ezinne N.E., Sirju N., Persad T., Masemola H.C., et al., 2023. Comparative Analysis of Health-and Vision-Related Quality of Life Measures among Trinidadians with Low Vision and Normal Vision—A Cross-Sectional Matched Sample Study. International Journal of Environmental Research and Public Health, 20(14), p.6436. doi: 10.3390/ijerph20146436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Purola P, Koskinen S, Uusitalo H. Impact of vision on generic health‐related quality of life–A systematic review. Acta Ophthalmologica. 2023. Apr 9. [DOI] [PubMed] [Google Scholar]
- 13.Kempen GI, Ballemans J, Ranchor AV, van Rens GH, Zijlstra GR. The impact of low vision on activities of daily living, symptoms of depression, feelings of anxiety and social support in community-living older adults seeking vision rehabilitation services. Quality of life research. 2012. Oct;21:1405–11. doi: 10.1007/s11136-011-0061-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Jeon BJ, Cha TH. The effects of balance of low vision patients on activities of daily living. Journal of physical therapy science. 2013. Jun 25;25(6):693–6. doi: 10.1589/jpts.25.693 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Tabrett DR, Latham K. Factors influencing self-reported vision-related activity limitation in the visually impaired. Investigative ophthalmology & visual science. 2011. Jul 1;52(8):5293–302. doi: 10.1167/iovs.10-7055 [DOI] [PubMed] [Google Scholar]
- 16.Verbeek ER, Drewes YM, Gussekloo J. Visual impairment as a predictor for deterioration in functioning: the Leiden 85-plus Study. BMC geriatrics. 2022. May 6;22(1):397. doi: 10.1186/s12877-022-03071-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Media Centre Fall Fact Sheet https://www.who.int/news-room/fact-sheets/detail/falls
- 18.Saftari LN, Kwon OS. Ageing vision and falls: a review. Journal of physiological anthropology. 2018. Dec;37(1):1–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mehta J, Czanner G, Harding S, Newsham D, Robinson J. Visual risk factors for falls in older adults: a case-control study. BMC geriatrics. 2022. Feb 17;22(1):134. doi: 10.1186/s12877-022-02784-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bourne R, Steinmetz JD, Flaxman S, Briant PS, Taylor HR, Resnikoff S, et al. Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study. The Lancet global health. 2021. Feb 1;9(2):e130–43. doi: 10.1016/S2214-109X(20)30425-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Bourne RR, Adelson J, Flaxman S, Briant P, Bottone M, Vos T, et al. Global Prevalence of Blindness and Distance and Near Vision Impairment in 2020: progress towards the Vision 2020 targets and what the future holds. Investigative Ophthalmology & Visual Science. 2020. Jun 10;61(7):2317– [Google Scholar]
- 22.Pollard TL, Simpson JA, Lamoureux EL, Keeffe JE. Barriers to accessing low vision services. Ophthalmic and Physiological Optics. 2003. Jul;23(4):321–7. doi: 10.1046/j.1475-1313.2003.00123.x [DOI] [PubMed] [Google Scholar]
- 23.Khimani KS, Battle CR, Malaya L, Zaidi A, Schmitz-Brown M, Tzeng HM, et al. Barriers to low-vision rehabilitation services for visually impaired patients in a multidisciplinary ophthalmology outpatient practice. Journal of Ophthalmology. 2021. Nov 29;2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lam N, Leat SJ. Reprint of: Barriers to accessing low-vision care: the patient’s perspective. Canadian Journal of Ophthalmology. 2015. Jun 1;50:S34–9. doi: 10.1016/j.jcjo.2015.04.007 [DOI] [PubMed] [Google Scholar]
- 25.Jose J, Thomas J, Bhakat P, Krithica S. Awareness, knowledge, and barriers to low vision services among eye care practitioners. Oman journal of ophthalmology. 2016. Jan;9(1):37. doi: 10.4103/0974-620X.176099 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sarika G, Venugopal D, Sailaja MV, Evangeline S, Kumar RK. Barriers and enablers to low vision care services in a tertiary eye care hospital: A mixed method study. Indian journal of ophthalmology. 2019. Apr;67(4):536. doi: 10.4103/ijo.IJO_1215_18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Leat SJ, Zecevic AA, Keeling A, Hileeto D, Labreche T, Brymer C. Prevalence of vision loss among hospital in‐patients; a risk factor for falls?. Ophthalmic and Physiological Optics. 2018. Jan;38(1):106–14. doi: 10.1111/opo.12428 [DOI] [PubMed] [Google Scholar]
- 28.World Health Organization. World report on vision. 2019.
- 29.Jónsdóttir HL, Ruthig JC. A longitudinal study of the negative impact of falls on health, well-being, and survival in later life: the protective role of perceived control. Aging & Mental Health. 2021. Apr 3;25(4):742–8. doi: 10.1080/13607863.2020.1725736 [DOI] [PubMed] [Google Scholar]
- 30.Choi NG, Bruce ML, DiNitto DM, Marti CN, Kunik ME. Fall worry restricts social engagement in older adults. Journal of aging and health. 2020. Jun;32(5–6):422–31. doi: 10.1177/0898264319825586 [DOI] [PubMed] [Google Scholar]
- 31.de Souza Dias A, Alves LN, Freitas AS, dos Reis JS, Dias EN. ACCIDENTS CAUSED BY FALLS IN THE ELDERLY PEOPLE: A PUBLIC HEALTH PROBLEM. Journal Health and Technology-JHT. 2022. Jul 22;1(1):e117–. [Google Scholar]
- 32.Hajek A, König HH. Falls and subjective well-being. Results of the population-based German Ageing Survey. Archives of gerontology and geriatrics. 2017. Sep 1;72:181–6. [DOI] [PubMed] [Google Scholar]
- 33.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Bmj. 2021. Mar 29;372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Abesig J, Chen Y, Wang H, Sompo FM, Wu IX. Newcastle-Ottawa Scale adapted for cross-sectional studies. Published online June. 2020;12.
- 35.Gashaw M, Janakiraman B, Minyihun A, Jember G, Sany K. Self-reported fall and associated factors among adult people with visual impairment in Gondar, Ethiopia: a cross-sectional study. BMC public health. 2020. Dec;20:1–0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Mengste YL, Belete GT, Eticha BL, Zeleke TC. Self-Reported Fall-Related Injury and Its Associated Factors among Adults with Visual Impairment Attending St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia. Ethiopian Journal of Health Sciences. 2023. Apr 6;33(2). doi: 10.4314/ejhs.v33i2.11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Gashaw M, Adie Admass B. Injury related to fall and its predictors among medically diagnosed adults with visual impairment in Ethiopia: an observational cross-sectional study. Advances in orthopedics. 2021. Feb 27;2021. doi: 10.1155/2021/6686068 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.KANG MJ, RIM TH, KIM SS. Visual acuity and falls in South Korea: Korean National health and nutrition examination survey 2008–2012. Journal of the Korean Ophthalmological Society. 2016:1451–9. [Google Scholar]
- 39.Lamoreux EL, Chong E, Wang JJ, Saw SM, Aung T, Mitchell P, et al. Visual impairment, causes of vision loss, and falls: the Singapore Malay Eye Study. Investigative ophthalmology & visual science. 2008. Feb 1;49(2):528–33. [DOI] [PubMed] [Google Scholar]
- 40.Gupta P, Man RE, Fenwick EK, Qian C, Sim R, Majithia S, et al. Associations between visual impairment, incident falls and fall frequency among older asians: longitudinal findings from the Singapore Epidemiology of Eye Diseases study. British journal of ophthalmology. 2023. Nov 1;107(11):1590–6. doi: 10.1136/bjo-2021-320873 [DOI] [PubMed] [Google Scholar]
- 41.Kuang TM, Tsai SY, Hsu WM, Cheng CY, Liu JH, Chou P. Visual impairment and falls in the elderly: the Shihpai Eye Study. Journal of the Chinese Medical Association. 2008. Sep 1;71(9):467–72. doi: 10.1016/S1726-4901(08)70150-3 [DOI] [PubMed] [Google Scholar]
- 42.Lamoureux E, Gadgil S, Pesudovs K, Keeffe J, Fenwick E, Dirani M, et al. The relationship between visual function, duration and main causes of vision loss and falls in older people with low vision. Graefe’s archive for clinical and experimental ophthalmology. 2010. Apr;248:527–33. doi: 10.1007/s00417-009-1260-x [DOI] [PubMed] [Google Scholar]
- 43.Yip JL, Khawaja AP, Broadway D, Luben R, Hayat S, Dalzell N, et al. Visual acuity, self-reported vision and falls in the EPIC-Norfolk Eye study. British Journal of Ophthalmology. 2014. Mar 1;98(3):377–82. doi: 10.1136/bjophthalmol-2013-304179 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Campagna G, Chamberlain P, Orengo-Nania S, Biggerstaff K, Khandelwal S. Ophthalmic conditions associated with inpatient falls among veterans. Optometry and vision science. 2018. Dec 1;95(12):1114–9. doi: 10.1097/OPX.0000000000001312 [DOI] [PubMed] [Google Scholar]
- 45.BOptom RQ, Cumming RG, Mitchell P, Attebo K. Visual impairment and falls in older adults: the Blue Mountains Eye Study. Journal of the American Geriatrics Society. 1998. Jan;46(1):58–64. doi: 10.1111/j.1532-5415.1998.tb01014.x [DOI] [PubMed] [Google Scholar]
- 46.Mehta J, Knowles K, Wilson E. Prevalence of falls in patients presenting to an ophthalmic outpatients department-a surveillance study. The British and Irish orthoptic journal. 2021;17(1):134. doi: 10.22599/bioj.178 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Freeman EE, Munoz B, Rubin G, West SK. Visual field loss increases the risk of falls in older adults: the Salisbury eye evaluation. Investigative ophthalmology & visual science. 2007. Oct 1;48(10):4445–50. doi: 10.1167/iovs.07-0326 [DOI] [PubMed] [Google Scholar]
- 48.Marmamula S, Barrenkala NR, Challa R, Kumbham TR, Modepalli SB, Yellapragada R, et al. Falls and visual impairment among elderly residents in ‘homes for the aged’in India. Scientific reports. 2020. Aug 7;10(1):13389. doi: 10.1038/s41598-020-70066-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Crews JE, Chou CF, Stevens JA, Saaddine JB. Falls among persons aged≥ 65 years with and without severe vision impairment—United States, 2014. Morbidity and Mortality Weekly Report. 2016. May 6;65(17):433–7. [DOI] [PubMed] [Google Scholar]
- 50.Ouyang S, Zheng C, Lin Z, Zhang X, Li H, Fang Y, et al. Risk factors of falls in elderly patients with visual impairment. Frontiers in public health. 2022. Aug 22;10:984199. doi: 10.3389/fpubh.2022.984199 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Kulmala J, Era P, Pärssinen O, Sakari R, Sipilä S, Rantanen T, et al. Lowered vision as a risk factor for injurious accidents in older people. Aging clinical and experimental research. 2008. Feb;20:25–30. doi: 10.1007/BF03324744 [DOI] [PubMed] [Google Scholar]
- 52.Krishnaiah S, Ramanathan RV. Impact of blindness due to cataract in elderly fallers: findings from a cross-sectional study in Andhra Pradesh, South India. BMC research notes. 2018. Dec;11(1):1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.To KG, Meuleners LB, Fraser ML, Do DV, Duong DV, Huynh VA, et al. Prevalence and visual risk factors for falls in bilateral cataract patients in Ho Chi Minh City, Vietnam. Ophthalmic epidemiology. 2014. Apr 1;21(2):79–85. doi: 10.3109/09286586.2014.885058 [DOI] [PubMed] [Google Scholar]
- 54.Coleman AL. Sources of binocular suprathreshold visual field loss in a cohort of older women being followed for risk of falls (an American Ophthalmological Society thesis). Transactions of the American Ophthalmological Society. 2007. Dec;105:312. [PMC free article] [PubMed] [Google Scholar]
- 55.Black AA, Wood JM, Lovie-Kitchin JE, Newman BM. Visual field loss and falls among older adults with glaucoma. Investigative Ophthalmology & Visual Science. 2008. May 14;49(13):5458–.18757507 [Google Scholar]
- 56.Bhorade AM, Perlmutter MS, Sabapathypillai SL, Goel M, Wilson B, Gordon MO. Rate of falls, fear of falling, and avoidance of activities at-risk for falls in older adults with glaucoma. American journal of ophthalmology. 2021. Jul 1;227:275–83. doi: 10.1016/j.ajo.2021.02.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Black AA, Wood JM, Lovie-Kitchin JE. Inferior field loss increases rate of falls in older adults with glaucoma. Optometry and Vision Science. 2011. Nov 1;88(11):1275–82. doi: 10.1097/OPX.0b013e31822f4d6a [DOI] [PubMed] [Google Scholar]
- 58.Baig S, Diniz-Filho A, Wu Z, Abe RY, Gracitelli CP, Cabezas E, et al. Association of fast visual field loss with risk of falling in patients with glaucoma. JAMA ophthalmology. 2016. Aug 1;134(8):880–6. doi: 10.1001/jamaophthalmol.2016.1659 [DOI] [PubMed] [Google Scholar]
- 59.Patino CM, McKean-Cowdin R, Azen SP, Allison JC, Choudhury F, Varma R, et al. Central and peripheral visual impairment and the risk of falls and falls with injury. Ophthalmology. 2010. Feb 1;117(2):199–206. doi: 10.1016/j.ophtha.2009.06.063 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wood JM, Lacherez P, Black AA, Cole MH, Boon MY, Kerr GK. Risk of falls, injurious falls, and other injuries resulting from visual impairment among older adults with age-related macular degeneration. Investigative ophthalmology & visual science. 2011. Jul 1;52(8):5088–92. doi: 10.1167/iovs.10-6644 [DOI] [PubMed] [Google Scholar]
- 61.Moghadam AN, Goudarzian M, Azadi F, Hosseini SM, Mosallanezhad Z, Karimi N, et al. Falls and postural control in older adults with cataracts. Medical journal of the Islamic Republic of Iran. 2015;29:311. [PMC free article] [PubMed] [Google Scholar]
- 62.Pattaramongkolrit S, Sindhu S, Thosigha O, Somboontanot W. Fall-related factors among older, visually-impaired Thais. Pacific Rim International Journal of Nursing Research. 2013. May 1;17(2):181–96. [Google Scholar]
- 63.McCarty CA, Fu L, Taylor R. The risks of everyday life: Predictors of falls in the Melbourne visual impairment project. Australian and New Zealand journal of public health. 2002. Apr 1;26(2):116–9. [DOI] [PubMed] [Google Scholar]
- 64.Kwan MM, Lin SI, Close JC, Lord SR. Depressive symptoms in addition to visual impairment, reduced strength and poor balance predict falls in older Taiwanese people. Age and ageing. 2012. Sep 1;41(5):606–12. doi: 10.1093/ageing/afs065 [DOI] [PubMed] [Google Scholar]
- 65.Rosenblatt TR, Vail D, Ludwig CA, Al-Moujahed A, Pasricha MV, Ji MH, et al. Fall risk in patients with pseudophakic monovision. Canadian journal of ophthalmology. 2023. Feb 1;58(1):11–7. doi: 10.1016/j.jcjo.2021.07.010 [DOI] [PubMed] [Google Scholar]
- 66.Glynn RJ, Seddon JM, Krug JH, Sahagian CR, Chiavelli ME, Campion EW. Falls in elderly patients with glaucoma. Archives of ophthalmology. 1991. Feb 1;109(2):205–10. doi: 10.1001/archopht.1991.01080020051041 [DOI] [PubMed] [Google Scholar]
- 67.Ehrlich JR, Hassan SE, Stagg BC. Prevalence of falls and fall‐related outcomes in older adults with self‐reported vision impairment. Journal of the American Geriatrics Society. 2019. Feb;67(2):239–45. doi: 10.1111/jgs.15628 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Lord SR, Dayhew J. Visual risk factors for falls in older people. J Am Geriatr Soc. 2001. May;49(5):508–15. doi: 10.1046/j.1532-5415.2001.49107.x [DOI] [PubMed] [Google Scholar]
- 69.Haymes SA, LeBlanc RP, Nicolela MT, Chiasson LA, Chauhan BC. Risk of falls and motor vehicle collisions in glaucoma. Investigative Ophthalmology & Visual Science. 2007. Mar 1;48(3):1149–55. doi: 10.1167/iovs.06-0886 [DOI] [PubMed] [Google Scholar]
- 70.Dhital A, Pey T, Stanford MR. Visual loss and falls: a review. Eye. 2010. Sep;24(9):1437–46. doi: 10.1038/eye.2010.60 [DOI] [PubMed] [Google Scholar]
- 71.Salonen L, Kivelä SL. Eye diseases and impaired vision as possible risk factors for recurrent falls in the aged: a systematic review. Current gerontology and geriatrics research. 2012 Jan 1;2012. doi: 10.1155/2012/271481 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Marks R. Falls among the elderly and vision: a narrative review. Open Medicine Journal. 2014. Nov 12;1(1). [Google Scholar]
- 73.Reed-Jones RJ, Solis GR, Lawson KA, Loya AM, Cude-Islas D, Berger CS. Vision and falls: a multidisciplinary review of the contributions of visual impairment to falls among older adults. Maturitas. 2013. May 1;75(1):22–8. doi: 10.1016/j.maturitas.2013.01.019 [DOI] [PubMed] [Google Scholar]
- 74.Hacıdursunoğlu Erbaş D, Çınar F, Eti Aslan F. Elderly patients and falls: a systematic review and meta-analysis. Aging clinical and experimental research. 2021:1–4. doi: 10.1007/s40520-021-01843-w [DOI] [PubMed] [Google Scholar]
- 75.Fricke TR, Jong M, Naidoo KS, Sankaridurg P, Naduvilath TJ, Ho SM, et al. Global prevalence of visual impairment associated with myopic macular degeneration and temporal trends from 2000 through 2050: systematic review, meta-analysis and modelling. British Journal of Ophthalmology. 2018. Jul 1;102(7):855–62. doi: 10.1136/bjophthalmol-2017-311266 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Melillo P, Orrico A, Chirico F, Pecchia L, Rossi S, Testa F, et al. Identifying fallers among ophthalmic patients using classification tree methodology. PloS one. 2017. Mar 23;12(3):e0174083. doi: 10.1371/journal.pone.0174083 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Salari N, Darvishi N, Ahmadipanah M, Shohaimi S, Mohammadi M. Global prevalence of falls in the older adults: a comprehensive systematic review and meta-analysis. Journal of orthopaedic surgery and research. 2022. Dec;17(1):1–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Wang W, Yan W, Müller A, Keel S, He M. Association of socioeconomics with prevalence of visual impairment and blindness. JAMA ophthalmology. 2017. Dec 1;135(12):1295–302. doi: 10.1001/jamaophthalmol.2017.3449 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Katibeh M, Sehat M, Rajavi Z, Yaseri M, Ziaee H, Hosseini S, et al. Prevalence of Low Vision and Blindness in Socio-Economic Levels and Association of them in Varamin City 2009. Bina Journal of Ophthalmology. 2013. Jan 10;18(2):200–7. [Google Scholar]
- 80.Asai T, Oshima K, Fukumoto Y, Yonezawa Y, Matsuo A, Misu S. The association between fear of falling and occurrence of falls: a one-year cohort study. BMC geriatrics. 2022. Dec;22(1):1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Ang GC, Low SL, How CH. Approach to falls among the elderly in the community. Singapore medical journal. 2020. Mar;61(3):116. doi: 10.11622/smedj.2020029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Ivers RQ, Norton R, Cumming RG, Butler M, Campbell AJ. Visual impairment and hip fracture. American journal of epidemiology. 2000. Oct 1;152(7):633–9. [DOI] [PubMed] [Google Scholar]
- 83.Singh RR, Maurya P. Visual impairment and falls among older adults and elderly: evidence from longitudinal study of ageing in India. BMC public health. 2022. Dec;22(1):1–1. [DOI] [PMC free article] [PubMed] [Google Scholar]






