Using machine learning models to identify the risk of depression in middle-aged and older adults with frequent and infrequent nicotine use: A cross-sectional study.

Journal: Journal of affective disorders

Published Date: Aug 31, 2024

Abstract

BACKGROUND: Depression is very prevalent in middle-aged and older smokers. Therefore, we aimed to identify the risk of depression among middle-aged and older adults with frequent and infrequent nicotine use, as this is quite necessary for supporting their well-being.

Authors

Yuran Qiu

Department of Psychology, Henan University, Kaifeng, China. Electronic address: psycholqiu@gmail.com.
Xu Ma

College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, China.

Keywords

Aged China Cross-Sectional Studies Depression Female Humans Longitudinal Studies Machine Learning Male Middle Aged Risk Factors

External Resources

View on PubMed Access via DOI PubMed (39222853)

Using machine learning models to identify the risk of depression in middle-aged and older adults with frequent and infrequent nicotine use: A cross-sectional study.

Abstract

Authors

Keywords

External Resources

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