Evidence map›Paper›PMID 29862188›Full record

ArticleInternational journal of ophthalmology2018

Association between visual status and mental health status in Thai rural elderly: a community-based study.

Pear Pongsachareonnont, Nopphawan Uramphorn, Nuchanad Hounnaklang

Abstract read
In one paragraph

Article in International journal of ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

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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

3 authors.

Pear PongsachareonnontRetina Research Unit, Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok 10330, Thailand.
Nopphawan UramphornRetina Research Unit, Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok 10330, Thailand.
Nuchanad HounnaklangCollege of Public Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the association between visual impairment (VI) and mental health or social engagement in older adults living in rural Thailand.

methodsData for this cross-sectional study were drawn from a community survey conducted in 2015 in Saraburi Province, Thailand. Participants were 327 adults aged ≥50y. VI was assessed using presenting distance visual acuity. Mental health and social engagement were evaluated in face-to-face interviews using validated questionnaires. After determining the prevalence of VI and relevant sociodemographic characteristics, multivariate regression analysis was used to evaluate the impact of VI on mental health and social engagement.

resultsThe prevalence of VI was 18.3%. Major causes were refractive error (58.3%) and cataract (35%). Factors associated with VI in the crude analysis were: older age [odds ratio (OR) 8.08], unemployment (OR 2.72), widowhood (OR 2.47), being divorced/separated (OR 3.27), smoking (OR 2.09) and disability in activities of daily living (OR 2.35). Protective factors were undergoing eye screening at least once a year (

conclusionAlthough VI older adults reported less participation in social activities, there is no significant association between VI and poor mental health. Annual eye examinations may prevent VI in older adults. Information about employment and anti-smoking should be targeted to older adults with VI.

Indexed as

community based studymental healthsocial engagementvisual impairment

Identifiers

PMID29862188
PMCPMC5957041

What OpenQuestion holds

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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.