Manhattan Vision Screening and Follow-up Study (NYC-SIGHT): a nested cross-sectional assessment of falls risk within a cluster randomised trial
Supporting Files
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11 22 2024
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File Language:
English
Details
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Alternative Title:Br J Ophthalmol
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Personal Author:
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Description:Background
To investigate the feasibility of using the Stopping Elderly Accidents, Deaths and Injuries (STEADI) Falls Risk Tool Kit during community-based eye health screenings to assess falls risk of participants enrolled in the Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT).
Methods
Cross-sectional analysis of data from a 5-year prospective, duster-randomised clinical trial conducted in affordable housing developments in New York City in adults age 40 years and older. Prescreening questions determined whether participants were at risk of falling. STEADI tests classified participants at low, moderate or high risk of falling. Multivariate logistic regression determined odds of falls risk of all enrolled participants.
Results
708 participants completed the eye health screening; 351 (49.6%) performed STEADI tests; mean age: 71.0 years (SD±11.3); 72.1 % female; 53.6% Black, non-Hispanic, 37.6% Hispanic/Latino. Level of falls risk: 32 (9.1%) low, 188 (53.6%) moderate and 131 (37.3%) high. Individuals age >80 (OR 5.921,95% Cl (2.383 to 14.708), p=0.000), had blurry vision (OR 1.978,95% Cl (1.186 to 3.300), p=0.009), high blood pressure (OR 2.131,95% Cl (1.252 to 3.628), p=0.005), arthritis (OR 2.29876,95% Cl (1.362 to 3.875), p=0.002) or foot problems (OR 5.239,95% Cl (2.947 to 9.314), p=0.000) had significantly higher odds of falling, emergency department visits or hospitalisation due to falling.
Conclusion
This study detected a significant amount of falls risk in an underserved population. The STEADI Falls Risk screening questions were easy for eye care providers to ask, were highly predictive of falls risk and may be adequate for referral to occupational health and/or physical therapy.
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Subjects:
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Source:Br J Ophthalmol. 108(12):1761-1768
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Pubmed ID:38609163
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Pubmed Central ID:PMC11701788
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Document Type:
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Funding:
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Volume:108
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Issue:12
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Collection(s):
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Main Document Checksum:urn:sha-512:bc31f2641d0742125e7db3eb956f16a45577a4e4d2f8b05962b59efd8e51df3591446c35b54ccbe930190e5ae3a2fb7da93ac9b58836f393e12b946d05052d9d
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Download URL:
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File Type:
Supporting Files
File Language:
English
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