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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

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Cross-sectional Associations between Particulate Matter (PM<sub>2.5</sub>) and Depression (PHQ-9) in the Elderly
Journal of Health Informatics and Statistics. 2021;46(2):163-170   Crossref logo
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Predicting Particulate Matter (PM2.5) Concentrations in the Air of Shahr-e Ray City, Iran, by Using an Artificial Neural Network
Environmental Quality Management. 2016;25(4):71-83   Crossref logo
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The contribution of outdoor particulate matter (PM1, PM2.5, PM10) to school indoor environment
Indoor and Built Environment. 2014;24(8):1038-1047   Crossref logo
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Simulations of fine particulate matter (PM2.5) in Houston, Texas
Journal of Geophysical Research. 2005;110(D16):   Crossref logo
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Water-insoluble fraction of airborne particulate matter (PM10) induces oxidative stress in human lung epithelial A549 cells
Environmental Toxicology. 2012;29(2):226-233   Crossref logo
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Associations between (sub) clinical stress- and anxiety symptoms in mentally healthy individuals and in major depression: a cross-sectional clinical study
BMC Psychiatry. 2020;20(1):   Crossref logo
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Preliminary analysis of variability in concentration of fine particulate matter - PM1.0, PM2.5 and PM10 in area of Poznań city
E3S Web of Conferences. 2018;28:01005   Crossref logo
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Correlation between Exposure to Fine Particulate Matter (PM2.5) during Pregnancy and Congenital Anomalies: Its Surgical Perspectives
Journal of Korean Medical Science. 2021;36(38):   Crossref logo
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Modelling of nitrogen dioxide (NO2) and fine particulate matter (PM10) air pollution in the metropolitan areas of Barcelona and Bilbao, Spain
Environmetrics. 2009;20(5):477-493   Crossref logo
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Associations between pain, self-efficacy, sleep duration, and symptoms of depression in adolescents: a cross-sectional survey
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This metadata service is kindly provided by CrossRef from May 29, 2014. J Health Info Stat has participated in CrossRef Text and Data Mining service since March 1, 2016.