1Universal AI University, Mumbai, India
Email: archanat@mldc.edu.in
2Universal AI University, Mumbai, India
Email: shilpa.joshi@universalai.in
Aim: To evaluate the influence of parental myopia, residence type, digital exposure, outdoor activities, breaks from near work, and lighting conditions on myopia among youth in Mumbai.
Method: The study is a cross-sectional epidemiological study. 1660 students participated in the survey. The survey collected refractive, behavioural, environmental, and genetic data. Digital time was calculated as a composite variable based on time spent on different digital devices. Variance Inflator Factor was used to test for multicollinearity among variables. Multivariable logistic regression was used on a balanced dataset to analyze the relationship between digital time, parental myopia, outdoor time, breaks in near work, and lighting conditions during near work with myopia. Model performance was assessed using the Hosmer-Lemeshow Test and AUC. Model performance metrics were reported to describe model behaviour rather than to support clinical prediction.
Result: Myopia prevalence in the study population was 29.6%. The mean self-reported age of myopia onset was 13.35±3.46 years. Bivariate analysis revealed noteworthy associations between myopia and digital screen time, parental myopia, and residence type (p<0.05). However, only parental myopia (OR=1.59, 95% CI: 1.20-2.11) and residence type (OR=1.39, 95% CI: 1.04-1.86) were associated with myopia in multivariable logistic regression. After adjustment, no significant association was found between digital screen time, outdoor time, breaks in near work, and room lighting and myopia. The model's accuracy was modest at 63% (AUC=0.675). Precision and recall were balanced across groups, and the model showed good calibration (Hosmer-Lemeshow p=0.846).
Conclusion: Parental myopia and residence type were identified as primary factors responsible for myopia onset. With its multifactorial nature, further longitudinal investigations are needed. Public health strategies should emphasize early screening and context-specific preventive measures in urban settings.
Keywords: Myopia, Epidemiology, Urban Youth, Lifestyle Factors, Digital Time, Environmental Exposure, Genetic Factors, Logistic Regression, Mumbai.
How to cite this article: Talekar AM, Joshi S. Factors Associated With Myopia Prevalence Among Urban Youth In Mumbai. Int J Drug Deliv Technol. 2026;16(2s): 1020-1027; DOI: 10.25258/ijddt.16.2s.123
Source of support: None
Conflict of interest: None