Evidence map›Paper›PMID 35722396›Full record

ArticleAnnals of translational medicine2022

Uncorrected near vision acuity and associated factors in a coastal province in southern China: the Fujian eye cross sectional study.

Qinrui Hu, Yang Li, Xueying Qin, Tao Ren, Bin Wang, Yonghua Hu, Xiaoxin Li

Abstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Qinrui Hu *Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China.
Yang Li *Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China.
Xueying QinDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China.
Tao RenDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China.
Bin WangFujian Provincial Key Laboratory of Ocular Surface and Corneal Diseases, Xiamen, China.
Yonghua HuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China.
Xiaoxin LiFujian Provincial Key Laboratory of Ocular Surface and Corneal Diseases, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Near vision (NV) is essential to visual quality of individuals, and could be affected by different factors and changed gradually with the development of society. An update estimates is needed. Our study aims to investigate the age-trends in and sociodemographic characteristics associated with uncorrected near vision acuity (UNVA) in people ≥50 years in southern China. Methods: A population-based, cross-sectional survey on the eye health status of residents in both inland and coastal areas of Fujian Province, southern China was performed by Eye Institute and Affiliated Xiamen Eye Center of Xiamen University. People aged ≥50 years (10,044 subjects) in Fujian province were recruited according to the cluster sampling design by Fujian eye cross sectional study (FJES) group. The contents of the questionnaire survey included age, gender, education, occupation and other socioeconomic status. UNVA and slit lamp examination were performed for the participants in the field survey. Analysis of variance (ANOVA) was applied to compare the mean among groups of normally distributed parameters of UNVA and the chi-square (χ Results: Among the baseline participants, 8,211 (81.8%) attended follow-up examinations. The sample had a mean age of 64.4 years [standard deviation (SD) =8.9], and 4,836 of the participants were female (58.9%). The average UNVA values for males and females were 0.29±0.18 and 0.28±0.17, respectively (P=0.000). UNVA gradually decreased with age and plateaued between 65 and 80 years old. There were significant differences in the mean values of UNVA associated with different occupations (P=0.000). UNVA was significantly different among people with different education levels (P=0.000). The average UNVA in people in coastal areas was 0.28, while that in people in inland areas was 0.29 (P=0.006). People in urban areas appeared to have better UNVA on average (0.29) than those in rural areas (0.27; P=0.000). Conclusions: After age 50, NV was reduced gradually. Age, gender, education, occupation, income and geographical factors may affect the NV performance of adults, which should be taken into account to achieve a good management of vision quality.

Indexed as

ageingChinacross-sectional studyUncorrected near vision acuity (UNVA)

Identifiers

PMID35722396
PMCPMC9201167

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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.