2023
DOI: 10.3389/fpubh.2023.1239158
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Prevalence and associated factors of myopia among school students in Shenyang, China: a cross-sectional study

Dan Zhang,
Baijun Sun,
Ming Wu
et al.

Abstract: BackgroundIn recent years, the prevalence of myopia has increased significantly and caused great concern. Nevertheless, an estimate of myopia in the student population in Shenyang, Liaoning Province, China is still lacking. This study aims to determine the prevalence of myopia among students in Shenyang and investigate the associated factors affecting myopia development.MethodsStandard logarithmic visual acuity chart and automatic computerized optometry under non-ciliary muscle paralysis were used to test the … Show more

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Cited by 5 publications
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“…The criteria established for identifying myopia stipulated that a standard logarithmic visual acuity below 5.0 in the naked eye, combined with a spherical equivalent of less than − 0.50D as determined by computerized optometry under non-ciliary muscle paralysis conditions, would classify an individual as myopic. In this assessment, any student diagnosed with myopia in at least one eye was included in the overall count of myopia cases [21]. The questionnaire section was conducted anonymously, with the survey content speci cally including: Demographic characteristics: gender, age, family annual income (yuan), place of residence, father's education level, mother's education level, parents' myopia condition; Daily life behaviors: frequency of using eyes while lying down or leaning forward, frequency of using eyes while walking or riding in the car, frequency of outdoor exercise weekly, proper posture for reading and writing, distance from eyes to television screen (meter), distance from eyes to computer screen (centimeter), screen duration on smart phone and computer daily (hour), watching television duration daily (hour), homework duration daily (hour), sleep duration daily (hour).…”
Section: Measurement Of Myopia and Questionnaire Surveymentioning
confidence: 99%
“…The criteria established for identifying myopia stipulated that a standard logarithmic visual acuity below 5.0 in the naked eye, combined with a spherical equivalent of less than − 0.50D as determined by computerized optometry under non-ciliary muscle paralysis conditions, would classify an individual as myopic. In this assessment, any student diagnosed with myopia in at least one eye was included in the overall count of myopia cases [21]. The questionnaire section was conducted anonymously, with the survey content speci cally including: Demographic characteristics: gender, age, family annual income (yuan), place of residence, father's education level, mother's education level, parents' myopia condition; Daily life behaviors: frequency of using eyes while lying down or leaning forward, frequency of using eyes while walking or riding in the car, frequency of outdoor exercise weekly, proper posture for reading and writing, distance from eyes to television screen (meter), distance from eyes to computer screen (centimeter), screen duration on smart phone and computer daily (hour), watching television duration daily (hour), homework duration daily (hour), sleep duration daily (hour).…”
Section: Measurement Of Myopia and Questionnaire Surveymentioning
confidence: 99%