Association Between Outdoor and Indoor Air Pollution Exposure and Depression Among Middle-Aged and Older Adults Using Machine Learning Approaches


Date Published : 10 January 2026

Contributors

R.V. Prakash

1Lincoln University College
Author

Dr. Shrikant Kulkarni

Lincoln University College, Malaysia, Research Professor, Sanjivani University, India
Author

Midhunchakkaravarthy Janarthanan

Lincoln University of College
Author

Keywords

Depression Air pollution Machine Learning Ageing population India

Proceeding

Track

Engineering, Sciences, Mathematics & Computations

License

Copyright (c) 2026 Sustainable Global Societies Initiative

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

For older adults, depression is a major public health issue, and scientific literature links environmental exposures to depression. This study used machine learning to examine the relationship between indoor and outdoor air pollution and depression in 45-year-old Indians. We classified Indian depressive symptoms using environmental, demographic, and health data using linear support vector machines and neural network classifiers. Our classifiers were assessed using Receiver Operating Characteristic and Precision-Recall analyses. The Linear Support Vector Machine classifier outperformed the neural networks and baseline logistic regression classifiers. The results also suggest that machine learning will help public health professionals identify at-risk populations and track environmental factors affecting mental health.

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How to Cite

Rajanala, V. P., Kulkarni, D. S. ., & Midhunchakkaravarthy Janarthanan, M. J. (2026). Association Between Outdoor and Indoor Air Pollution Exposure and Depression Among Middle-Aged and Older Adults Using Machine Learning Approaches. Sustainable Global Societies Initiative, 1(1). https://vectmag.com/sgsi/paper/view/150