Evidence map›Paper›PMID 39624420›Full record

ArticleFrontiers in public health2024

Impact of visual impairments on cognitive functions in older adults: insights from NHANES data.

Xiangxiang Fu, Zhenni Du, Jianing Ying, Qianwei Zhu

Abstract read
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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiangxiang FuYuyao Maternity and Child Health Care Hospital (Yuyao Second People's Hospital), Ningbo, China.
Zhenni DuYuyao Maternity and Child Health Care Hospital (Yuyao Second People's Hospital), Ningbo, China.
Jianing YingNingbo Eye Hospital, Ningbo, China.
Qianwei ZhuYuyao Maternity and Child Health Care Hospital (Yuyao Second People's Hospital), Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Visual impairments (VI) are common in the older adults and may affect cognitive functions through mechanisms such as reduced sensory input and increased social isolation. Although current understanding of this association is incomplete, evidence suggests a potential link between poor vision and cognitive decline. This study aims to investigate the relationship between Subjective Visual Impairment (SVI), Objective Visual Impairment (OVI), and cognitive decline in the older adults, and assess whether these associations remain significant after controlling for multiple confounding factors. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) for the years 1999-2002 were utilized, focusing on participants aged 60 and above. A total of 2,522 eligible participants were analyzed to assess their cognitive function and visual status. Weighted logistic regression models were used to explore the relationship between cognitive status and VI, progressively adjusting for confounding variables. Non-linear associations between cognitive score and VI were further explored using restricted cubic spline analysis. Results: Visual impairments were significantly associated with worse cognitive function. Participants with SVI had a 3.437-fold higher risk of cognitive decline compared to those without SVI (95% CI: 2.648-4.461, Conclusion: This study highlights a significant association between visual impairment and cognitive decline, even after controlling for multiple potential influencers. The findings support the integration of vision assessments into older adults care to identify and address vision problems early, potentially mitigating cognitive decline. The discovery of non-linear relationships further suggests that vision interventions may be particularly vital at certain stages of cognitive scores.

Indexed as

Cognitive DysfunctionNutrition SurveysVision DisordersAgedAged, 80 and overCognitionCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsUnited Statescognitive declineNHANESnon-linear associationsolder adults populationvisual impairment

Identifiers

PMID39624420
PMCPMC11609070

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.