Evidence map›Paper›PMID 32948134›Full record

ArticleBMC ophthalmology2020

Sociodemographic, behavioral, and medical risk factors associated with visual impairment among older adults: a community-based pilot survey in Southern District of Hong Kong.

Perseus Wing-Fu Wong, Jordy Kin-Pong Lau, Bonnie Nga-Kwan Choy, Kendrick Co Shih, Alex Lap-Ki Ng, Ian Yat-Hin Wong, Jonathan Cheuk-Hung Chan

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

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

7 authors at 1 institution in 2 countries.

Perseus Wing-Fu WongDepartment of Ophthalmology, LKS Faculty of Medicine, University of Hong Kong, Room 301, Block B, Cyberport 4, Pok Fu Lam, Hong Kong.
Jordy Kin-Pong LauDepartment of Ophthalmology, LKS Faculty of Medicine, University of Hong Kong, Room 301, Block B, Cyberport 4, Pok Fu Lam, Hong Kong.
Bonnie Nga-Kwan ChoyDepartment of Ophthalmology, LKS Faculty of Medicine, University of Hong Kong, Room 301, Block B, Cyberport 4, Pok Fu Lam, Hong Kong.
Kendrick Co ShihDepartment of Ophthalmology, LKS Faculty of Medicine, University of Hong Kong, Room 301, Block B, Cyberport 4, Pok Fu Lam, Hong Kong.
Alex Lap-Ki NgDepartment of Ophthalmology, LKS Faculty of Medicine, University of Hong Kong, Room 301, Block B, Cyberport 4, Pok Fu Lam, Hong Kong.
Ian Yat-Hin WongDepartment of Ophthalmology, LKS Faculty of Medicine, University of Hong Kong, Room 301, Block B, Cyberport 4, Pok Fu Lam, Hong Kong.
Jonathan Cheuk-Hung ChanDepartment of Ophthalmology, LKS Faculty of Medicine, University of Hong Kong, Room 301, Block B, Cyberport 4, Pok Fu Lam, Hong Kong. jonochan@hku.hk.ORCID http://orcid.org/0000-0002-0177-8178
Cyberport · CN

Funding

Hong Kong Shun Lung Yan Chak Foundation NoneNovartis NoneThe Eye Care Foundation None
6 · The paper itself

Abstract

backgroundThe last visual survey of older adults in Hong Kong was a district-level study in 2002, with no assessment of behavioral and medical risk factors for visual impairment (VI). Our objectives were to determine the latest VI prevalence among older adults, significance of any spatial and temporal differences on the prevalence, and any associations of sociodemographic, behavioral and medical risk factors with VI from a multi-perspective analysis.

methodsCommunity-based pilot survey of residents from a suburb of Hong Kong, aged ≥50, using a standardized questionnaire, was conducted in 2016.

resultsOf the 222 subjects, crude rates of bilateral and unilateral VI were 9.46 and 32.88%, respectively, or corresponding age-and-gender-adjusted rates of 6.89 and 30.5%. Older age and lower educational were associated with higher risk for unilateral VI, while older age, temporary housing, obesity and hyperlipidemia were associated with higher risk for bilateral VI. Smoking and alcohol-drinking status were not associated with unilateral or bilateral VI. Relative changes in ORs of hypertension or educational level on unilateral or bilateral VI were >  10% after adjusting for age. Interaction term between hyperlipidemia and gender or obesity was significant for unilateral VI. Gender, hypertension and cataract were not associated with unilateral or bilateral VI in general population of pooled analysis but were identified as risk factors in specific subgroups of stratified analysis. Refractive error (myopia or hyperopia) was significantly associated with VI in the eye-level analysis after adjusting the inter-eye correlation.

conclusionsSociodemographic and medical risk factors contributed to VI, but behavioral risk factors did not. Sociodemographic disparities of visual health existed. Age was the confounders of the VI-hypertension or VI-educational level relationships. Gender and obesity were more likely to have multiplicative effect on unilateral VI when combined with hyperlipidemia. Stratified analysis should be conducted to provide further insight into the risk factors for VI in specific populations. Uncorrected refractive error remains a significant cause of impaired vision. The spatial and temporal differences in bilateral VI prevalence from the previous local study indicates a territory-wide survey is needed to assess regional differences and overall prevalence of VI in Hong Kong.

Indexed as

Vision DisordersAgedCross-Sectional StudiesHong KongHumansPrevalenceRisk FactorsSurveys and QuestionnairesVisual AcuityDisparitiesEye-level analysisHong KongInteraction effectPrevalenceRisk factorsStratified analysisSurveyVisual impairment

Identifiers

PMID32948134
PMCPMC7501719
OpenAlexW3087119048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.