Evidence map›Paper›PMID 34135035›Full record

ArticleBMJ open2021

Socioeconomic mechanisms of myopia boom in China: a nationwide cross-sectional study.

Yingyan Ma, Senlin Lin, Liping Li, Yingnan Jia, Haidong Zou

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
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  5. [Epidemiological characteristics of myopia and pre-myopia among preschool children aged 5-6 years in ten provinces of China].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. The influence of the environment and lifestyle on myopia.Journal of physiological anthropology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

5 authors.

Yingyan Ma *Department of Eye Diseases Prevention and Control, Shanghai Eye Diseases Prevention & Treatment Center / Shanghai Eye Hospital, Shanghai, China.ORCID 0000-0003-4250-0356
Senlin Lin *Department of Eye Diseases Prevention and Control, Shanghai Eye Diseases Prevention & Treatment Center / Shanghai Eye Hospital, Shanghai, China.ORCID 0000-0002-0166-1308
Liping Li *Department of School Health, Shanghai Hongkou Center for Disease Control and Prevention, Shanghai, China.
Yingnan JiaSchool of Public Health, Fudan University, Shanghai, China zouhaidong@263.net jyn@fudan.edu.cn.ORCID 0000-0001-9211-4061
Haidong ZouDepartment of Eye Diseases Prevention and Control, Shanghai Eye Diseases Prevention & Treatment Center / Shanghai Eye Hospital, Shanghai, China zouhaidong@263.net jyn@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the association between socioeconomic development and the myopia boom in China.

designNationwide cross-sectional study.

settingWe used data from the China Family Panel Study (CFPS 2010), and the Chinese National Survey on Students' Constitution and Health (CNSSCH 2010).

participantsParticipants included 33 600 individuals and 14 226 families from the CFPS 2010, and 86 199 students aged 7-12 years from the CNSSCH 2010. MEASURES: The main measure was students' visual impairment (defined as Snellen visual acuity ≤20/25 (0.8) in the worse eye) rate of each province (or municipality or autonomous region); other measures included the Gini coefficient of property, logarithm of average property, Gini coefficient of education, average education duration and return-to-education rate of each province (or municipality or autonomous region). The visual impairment rate was calculated using students' data, aged 7-12 years, from the CNSSCH 2010. The Gini coefficient of property and logarithm of average property were calculated using the families' data from the CFPS 2010; the Gini coefficient of education, average education duration and return-to-education rate were calculated using individuals' data aged 18-44 years from the CFPS 2010.

resultsThe urban environment (coefficient: 0.209; p<0.001), Gini coefficient of property (coefficient: 1.979; p=0.005), logarithm of average property (coefficient: 0.114; p<0.001), average education duration (coefficient: 0.041; p<0.001) and return-to-education rate (coefficient: 0.195; p<0.001) were positively associated with the logit function of visual impairment rate.

conclusionsEconomic development may promote an increased desire to pursue wealth. Regarding high return to education and a fairly competitive education system, individuals are likely to pursue wealth through education, which is associated with a heavier education burden and higher prevalence rates of myopia.

Indexed as

MyopiaChinaCross-Sectional StudiesHumansPrevalenceSocioeconomic FactorsVisual Acuityepidemiologyophthalmologypublic health

Identifiers

PMID34135035
PMCPMC8211073

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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.