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Assessing the association between daily self-reported health symptoms and mental health among respiratory patients during high-pollution period in Thailand

Wee Mekwilai (), Worawan Sirichana (), Sarita Thawanaphong (), Kamon Kawkitinarong () and Nutta Taneepanichskul ()

International Journal of Innovative Research and Scientific Studies, 2023, vol. 6, issue 3, 626-632

Abstract: This study aimed to explore the relationship between daily self-reported health symptoms and mental health among respiratory patients during a high-pollution period in Thailand. A cross-sectional study was conducted at the pulmonary clinic of King Chulalongkorn Memorial Hospital in Bangkok, Thailand in February 2022. Patients with respiratory diseases were enrolled and asked to self-evaluate their health via ChulaAir mobile application. Daily respiratory symptoms were assessed using a checklist for a month. The DASS21 questionnaire was used to identify depression, anxiety, and stress at the end of the month. Binary logistic regression was performed to find the associations. A total of 98 patients participated in the study, and the prevalence of depression, anxiety, and stress was 30.6%, 28.6%, and 26.5%, respectively. Cough and Phlegm were the most common health symptoms during the high-pollution period. An increase in the number of days with self-reported sore eyes was associated with depression (AOR=1.307; p=0.001), anxiety (AOR=1.261; p=0.001), and stress (AOR=1.178; p=0.001). Health symptoms are related to the presence of depression, anxiety, and stress during the high-pollution period. For individuals with respiratory symptoms, measures are required to alleviate mental health problems.

Keywords: Air pollution; Health symptoms; Mental health; Respiratory patients; Depression; Anxiety; Stress. (search for similar items in EconPapers)
Date: 2023
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