Dataset Information

Near Vision Impairment and Frailty: Evidence of an Association.

ABSTRACT: PURPOSE:To examine associations between near vision impairment (NVI) and frailty. DESIGN:Cross-sectional study. METHODS:Setting: Nationally representative sample of noninstitutionalized United States civilians. STUDY POPULATION:Total of 2705 older adults aged ?60 years from National Health and Nutrition Examination Survey (1999-2002). OBSERVATION:Presenting NVI (PNVI): near acuity worse than 20/40. Self-reported NVI (SNVI): self-reported difficulty with near vision tasks. MAIN OUTCOME MEASURE(S):Five-item physical frailty index; participants classified as frail (?3 criteria) and prefrail (1 or 2 criteria). Propensity score-adjusted and probability-weighted multinomial multivariable logistic regression was used to examine associations of PNVI and SNVI with frailty. RESULTS:Of 2705 participants, 381 (10%), 160 (5%), and 106 (3%) had PNVI only, SNVI only, and PNVI+SNVI, respectively. In fully adjusted models, as compared to those without PNVI, participants with PNVI were more likely to be prefrail (odds ratio [OR] = 1.6; 95% confidence interval [CI] = 1.1, 2.3) and frail (OR = 2.5; 95% CI = 1.4, 4.3). As compared to those without SNVI, participants with SNVI were more likely to be prefrail (OR = 2.9; 95% CI = 1.8, 4.7) and frail (OR = 4.3; 95% CI = 2.2, 8.3). As compared to those without PNVI or SNVI, participants with PNVI+SNVI were more likely to be prefrail and frail (prefrail: OR = 4.0; 95% CI = 2.2, 7.2 and frail: OR = 4.5; 95% CI = 1.7,12.7). CONCLUSIONS:Older adults with PNVI and SNVI were more likely to be prefrail and frail than those without respective NVI, suggesting that NVI is associated with frailty.

SUBMITTER: Varadaraj V

PROVIDER: S-EPMC6888870 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Near Vision Impairment and Frailty: Evidence of an Association.

Varadaraj Varshini V Lee Moon Jeong MJ Tian Jing J Ramulu Pradeep Y PY Bandeen-Roche Karen K Swenor Bonnielin K BK

American journal of ophthalmology 20190826

<h4>Purpose</h4>To examine associations between near vision impairment (NVI) and frailty.<h4>Design</h4>Cross-sectional study.<h4>Methods</h4>Setting: Nationally representative sample of noninstitutionalized United States civilians.<h4>Study population</h4>Total of 2705 older adults aged ≥60 years from National Health and Nutrition Examination Survey (1999-2002).<h4>Observation</h4>Presenting NVI (PNVI): near acuity worse than 20/40. Self-reported NVI (SNVI): self-reported difficulty with near v ...[more]

PMID: 31465753

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Project description:PurposeTo investigate the progression of near vision loss and the cumulative incidence of near vision impairment (NVI) 6 years after initial examination of an urban Chinese cohort.DesignPopulation-based, prospective cohort study.ParticipantsPeople aged ≥35 years examined at baseline in the Yuexiu District of Guangzhou, China.MethodsParticipants examined at baseline were invited for 2-year and 6-year follow-up examinations in 2010 and 2014, respectively. Examinations included noncycloplegic autorefraction and binocular near visual acuity (NVA) with and without current near correction measured at 40 cm using a LogMAR ETDRS near vision tumbling E chart. Those with uncorrected binocular NVA (UCNVA) ≤20/40 underwent subjective refraction to obtain best-corrected binocular NVA (BCNVA).Main outcome measuresChange in UCNVA between baseline and 2014 follow-up examinations and the 6-year cumulative incidence of vision impairment based on 3 definitions: NVA ≤20/40, ≤20/50, and ≤20/63.ResultsAmong the 1817 baseline participants, 1595 (87.8%) were reexamined in 2010 and 1427 (78.5%) in 2014. Mean vision loss between baseline and the 2014 follow-up was 1.54 (±1.74) lines of UCNVA. Vision loss was associated with age 80 years or older, less education, and better baseline UCNVA. The 6-year cumulative incidence of uncorrected binocular NVI (UCNVI) across the 3 vision impairment definitions was 55.2% (95% confidence interval [CI], 46.1%-64.3%), 51.3% (95% CI, 44.0%-58.7%), and 42.4% (95% CI, 35.5%-49.3%), respectively. With best-corrected binocular NVI (BCNVI), incidence was 6.89% (95% CI, 4.28%-9.50%), 5.17% (95% CI, 2.89%-7.44%), and 2.62% (95% CI, 1.11%-4.12%), respectively. A higher incidence of UCNVI was associated with worse baseline UCNVA for all 3 impairment definitions. Similarly, incidence of BCNVI was associated with worse baseline BCNVA, but also with older age and education at the primary level or less. Gender was not significant for either UCNVI or BCNVI.ConclusionsApproximately half of those aged 35 years or older develop UCNVI in 6 years, the overwhelming majority of whom can be corrected with spectacles. Cost-effective strategies to provide spectacles to this at-risk population remains an issue requiring further study.

Project description:ImportanceAssociations between visual and global cognitive impairments have been previously documented, but there is limited research examining these associations between multiple measures of vision across cognitive domains.ObjectiveTo examine the association between vision and cognitive across multiple cognitive domains using multiple measures of vision.Design, setting, and participantsThis longitudinal cohort study used data from the Baltimore Longitudinal Study of Aging for 2003 to 2019. Participants in the current study were aged 60 to 94 years with vision and cognitive measures. Data analysis was performed from May 2020 to May 2021.Main outcomes and measuresCognitive function was measured across multiple domains, including language, memory, attention, executive function, and visuospatial ability. Cognitive domain scores were calculated as the mean of standardized cognitive test scores within each domain. Visual function was assessed using measures of visual acuity, contrast sensitivity, and stereo acuity at baseline.ResultsAnalyses included 1202 participants (610 women [50.8%]; 853 White participants [71.0%]) with a mean (SD) age of 71.1 (8.6) years who were followed up for a mean (SD) of 6.9 (4.7) years. Worse visual acuity (per 0.1 logarithm of the minimal angle of resolution) at baseline was associated with greater declines in language (β, -0.0035; 95% CI, -0.007 to -0.001) and memory (β, -0.0052; 95% CI, -0.010 to -0.001) domain scores. Worse contrast sensitivity (per 0.1 log units) at baseline was associated with greater declines in language (β, -0.010; 95% CI, -0.014 to -0.006), memory (β, -0.009; 95% CI, -0.015 to -0.003), attention (β, -0.010; 95% CI, -0.017 to -0.003), and visuospatial ability (β, -0.010; 95% CI, -0.017 to -0.002) domain scores. Over the follow-up period, declines on tests of language (β, -0.019; 95% CI, -0.034 to -0.005) and memory (β, -0.032; 95% CI, -0.051 to -0.012) were significantly greater for participants with impaired stereo acuity compared with those without such impairment.Conclusions and relevanceThese findings suggest that the association between vision and cognition differs between visual acuity, contrast sensitivity, and stereo acuity and that patterns of cognitive decline may differ by type of vision impairment, with impaired contrast sensitivity being associated with declines across more cognitive domains than other measures of visual functioning.

Project description:SignificancePhysically unhealthy days assessments in national health surveillance datasets represent a useful metric for quantifying quality-of-life differences in those with and without vision impairment. Disproportionately poorer physical health in the visually impaired population provides further rationale for the inclusion of vision care in multidisciplinary approaches to chronic disease management.PurposeThis study aimed to assess the association between vision impairment and health-related quality of life using data from the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System.MethodsData from each of the 50 states were extracted from the 2017 Behavioral Risk Factor Surveillance System data set. Self-report of difficulty seeing was used to categorize visually impaired versus nonvisually impaired populations. Self-report number of physically unhealthy days in the previous 30 days was used to quantify quality of life. The number of unhealthy days was calculated for the visually impaired and nonvisually impaired cohorts for each state. The ratio of the number of physically unhealthy days in the visually impaired versus nonvisually impaired population was calculated for each state and for different age cohorts.ResultsMean numbers of physically unhealthy days among persons with and without severe vision impairment across all states were 10.63 and 3.68 days, respectively, and demonstrated considerable geographic variability. Mean ratios of physically unhealthy healthy days in the visually impaired versus the nonvisually impaired population were 2.91 in the 18- to 39-year-old cohort, 2.87 in the 40- to 64-year-old cohort, and 2.16 in the ≥65-year-old cohort.ConclusionsNational surveillance data demonstrate a greater number of physically unhealthy days in the visually impaired population, indicating a need to improve our understanding of causes that lead to reduced physical health among those with vision impairment. Additional research is needed to better understand how individuals perceive vision as part of their overall health.

Dataset Information

Near Vision Impairment and Frailty: Evidence of an Association.

Publications

Near Vision Impairment and Frailty: Evidence of an Association.

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