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Cross-sectional Associations between Particulate Matter (PM2.5) and Depression (PHQ-9) in the Elderly |
Kyung Hee Jo, So Yeon Ryu, Mi Ah Han, Seong Woo Choi, Min Ho Shin, Jong Park |
J Health Info Stat. 2021;46(2):163-170. Published online 2021 May 31 DOI: https://doi.org/10.21032/jhis.2021.46.2.163 |
Cross-sectional Associations between Particulate Matter (PM<sub>2.5</sub>) and Depression (PHQ-9) in the Elderly Predicting Particulate Matter (PM2.5) Concentrations in the Air of Shahr-e Ray City, Iran, by Using an Artificial Neural Network The contribution of outdoor particulate matter (PM1, PM2.5, PM10) to school indoor environment Relationships between Meteorological and Particulate Matter Concentrations (PM2.5 and PM10) during the Haze Period in Urban and Rural Areas, Northern Thailand Predicting Hourly Particulate Matter (PM2.5) Concentrations Using Meteorological Data 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE). 2019; Simulations of fine particulate matter (PM2.5) in Houston, Texas Spatio-Temporal Variation of Particulate Matter (Pm10 and Pm2.5) Over Ahmedabad Associations between (sub) clinical stress- and anxiety symptoms in mentally healthy individuals and in major depression: a cross-sectional clinical study Water-insoluble fraction of airborne particulate matter (PM10) induces oxidative stress in human lung epithelial A549 cells Correlation between Exposure to Fine Particulate Matter (PM2.5) during Pregnancy and Congenital Anomalies: Its Surgical Perspectives |
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