Post

New research · Ophthalmology
Frontiers in ophthalmology · 2d
StudyFrontiers in ophthalmology · 2026

The global landscape of myopia prevalence and its social determinants in children and adolescents: a cross-regional analysis.

Chengfei Liu, Wei Dong, Zihao Wang … Zhaojiang Du
Read paper
OphthalmologyStudy

Higher GDP per capita is associated with lower childhood myopia prevalence

The global landscape of myopia prevalence and its social determinants in children and adolescents: a cross-regional analysis.

Chengfei Liu … Zhaojiang Du
Frontiers in ophthalmology · 2026
Background

Investigation of the global profile of myopia prevalence in children and adolescents and analysis of the impact of social factors, including economic development level, social welfare, education, demographic structure, and geographical environment, on the progression of myopia.

Methods

A retrospective study analyzed data from 31 global datasets (2004-2023) to assess social determinants of myopia prevalence.

n = 31 global datasets
β = -0.863
Results
β = -0.863
richer countries had noticeably lower myopia rates in kids
n = 31 global datasets
More results

Univariate linear regression analysis revealed that GDP (β = 0.369, P = 0.027, R 2 = 0.128) and longitude (β = 0.551, P = 0.001, R 2 = 0.280) are significantly positively correlated with myopia prevalence.

More results

The negative associations of GDP per capita and average sunshine duration with myopia prevalence remained directionally consistent across most sensitivity analyses.

“
Conclusion · 1 of 2

East Asia exhibits the highest global prevalence of myopia in children and adolescents, while Europe and the Americas demonstrate comparatively lower, though variable, rates.

Conclusion · 2 of 2

Key influencing factors include economic development (GDP), social welfare (GDP per capita), demographic structure (population distribution and urbanization), and geographical setting (longitude).

Read paper
0 comments

No comments yet. Be the first.

Related papers

LatestFoundational
AI / Informatics
0·962 for OCT
MerMED-FM was very accurate at diagnosing diseases using eye scans
AI / Informatics
0.98
Artificial intelligence's eyelid-height measurements matched doctors' manual measurements almost perfectly
AI / Informatics
92.1%
combining eye scans and photos correctly told benign from cancerous lesions apart nearly every time
Cohort Study
28.6%
recurred locally in more than 1 in 4 patients over years of follow-up
Cohort Study
-0.395
excision group's post-op eyelid fullness score was lower - greater improvement
Cohort Study
86.7%
of infants probed after 12 months still had unresolved tear duct blockage
Observational
16%
eyelid tissue in rosacea patients showed less of this key repair-signaling protein inside cell nuclei
Cohort Study
25%
about 1 in 4 treated cases had symptoms return after improving