Table 4. Ten-Year Prevalence of Fractures, Falls, orMusculoskeletal Injuries Among Beneficiaries With Disorders of Binocular Visiona.
| Characteristic (No.) | No. (%) With Injuryb | OR (95% CI) | ||
|---|---|---|---|---|
| With Disorder of Binocular Vision | Without Disorder of Binocular Vision | Unadjustedc | Adjustedc | |
| Fracture | ||||
| Any (1 174 914) | 69 964 (70.3) | 1 104950 (52.7) | 2.13 (2.10-2.15) | 1.24 (1.23-1.26) |
| Hip (164 227) | 10 311 (10.4) | 153 916 (7.3) | 1.46 (1.43-1.49) | 1.04 (1.02-1.07) |
| Fall (612 217) | 40 058 (40.2) | 572159 (27.3) | 1.80 (1.77-1.82) | 1.20 (1.18-1.21) |
| Musculoskeletal injury (524 481) | 35 515 (35.7) | 488 966 (23.3) | 1.83 (1.80-1.85) | 1.23 (1.21-1.25) |
| Musculoskeletal injury, fracture, or fall (1 272 948) | 74 504 (74.9) | 1 198 444 (57.1) | 2.23 (2.20-2.27) | 1.27 (1.25-1.29) |
Abbreviation: OR, odds ratio.
a
Multivariable logistic regression model was adjusted for age, sex, race, US region of residence, Charlson Comorbidity Index score, osteoporosis, hyperthyroidism, hyperparathyroidism, glaucoma, severe cataract, age-related macular degeneration, diabetes mellitus with ophthalmic manifestations, Parkinson disease, physically limiting conditions, and duration of Medicare Part B coverage. The cohort included a 5% Medicare sample from 2002 to 2011. Each person was included in the global analysis one time.
b
The denominators are the total number of each cohort: with a disorder of binocular vision, 99 525; and without a disorder of binocular vision, 2 097 356.
c
All differences were significant at P < .001.