Prevalence and Associated Factors of Myopia among Third-Grade Primary School Students in the Gongshu District of Hangzhou
Notice bibliographique
Résumé
Objective: To study the prevalence and risk factors of myopia in the initial stage among third-grade students in public primary schools, and to provide protective suggestions for the prevention and control of myopia among adolescents. Methods: A cross-sectional study was used. From November 2017 to February 2018, a total of 1 004 third-grade students in Gongshu District of Hangzhou City were surveyed. Myopia questionnaires were used and eyesight-related parameters were obtained using cycloplegic refraction and biometry. Detailed questions on date-of-birth, outdoor activities, indoor activity, and parental refractive errors were asked in face-to-face interviews using a standard questionnaire. Cycloplegic refraction was performed on each research subject and a spherical equivalent (SE) of≤-0.5 D was designated as the myopia group and an SE>-0.5 D was designated as the non-myopia group. A rank sum test and Chi square were applied for parameters between the myopia and non-myopia groups. A binary logistic regression analysis was performed with myopia/non-myopia as dependent variables and all parameters as independent variables. Results: The prevalence of myopia (SE≤-0.5 D) was 32.3% among the 1 004 investigated subjects, 29.2% for male students and 35.4% for female students, implying a significant difference (χ2=4.43, P=0.035). Myopia prevalence for subjects born in the second quarter was significantly higher than those born in the first (χ2=4.30, P=0.041) and the fourth quarters (χ2=12.06, P<0.001). Logistic regression analysis demonstrated that the risk factors for the prevalence of myopia include degree of myopia on the paternal side (OR=1.509, P<0.001), degree of myopia on the maternal side (OR=1.360, P<0.001), female gender (binary logistic regression, OR=1.329, P=0.049), time spent on nearwork after school (OR=1.467, P=0.034), time spent on nearwork during holidays (OR=1.352, P<0.001), time spent on middle-distance work after school (OR=1.626, P=0.045) and time spent on middle-distance work during holidays (OR=1.860, P<0.001), while time spent outdoors after school (OR=0.618, P<0.001) and time spent outdoors during holidays (OR=0.823, P=0.004) act as protective factors. Conclusion: For the initial stage of myopia, our data analysis on third-grade students in the Gongshu District of Hangzhou shows that less outdoor activity, more near-distance and middle-distance work, parental history of myopia and female gender were associated with a greater risk for myopia. More outdoor activities may help to reduce the high prevalence of myopia. In addition to school days, holidays deserve more attention. Key words: prevalence of myopia; primary students; associated factors
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».