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ArticleFrontiers in public health2025

Effect of individual and provincial levels on stress among general population during the COVID-19 pandemic: a multilevel analysis using mental health survey in Thailand.

Pankaew Tantirattanakulchai, Nuchanad Hounnaklang, Tiwa Mahaprom, Aphichaya Polrak, Nada Lukkahatai

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Pankaew TantirattanakulchaiCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Nuchanad HounnaklangCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Tiwa MahapromBoromarajonani College of Nursing Chiang Mai, Faculty of Nursing, Praboromarajchanok Institute, Chiang Mai, Thailand.
Aphichaya PolrakDepartment of Mental Health, Prasrimahabhodi Hospital, Ubon Ratchathani, Thailand.
Nada LukkahataiSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The differential effects of the COVID-19 pandemic across various regions and demographic groups underscore the importance of comprehending the role of social determinants of health (SDOH) in shaping mental health disparities. This research seeks to investigate the influence of both individual-level and provincial-level factors on stress experienced by the Thai general population during the second wave of the pandemic. By incorporating the SDOH conceptual framework within a multi-level modeling approach. The focus is on understanding the impact of these factors on mental health concerns, which have significantly increased due to the pandemic. Methods: This study is a secondary data analysis of data collected between December 17, 2020, and February 23, 2021, from the Department of Mental Health, Ministry of Public Health, Thailand. Data for the provincial-level including COVID-19 zone and population density, with 258,830 participants nested within the 77 provinces. Stress was measured with 5-item of Srithanya stress test (ST-5). Multilevel analysis was carried out in HLM 8.2 software. Results: The study found that individual-level factors including male respondents, unemployed, financial hardship, chronic underlying diseases, having older and/or children in family, and having bedridden patients in family tended to report higher stress scores. While, older age respondents, contracted with COVID-19 infection in self and/or family, and having greater resilience showed the lower stress scores. After adjustment for individual-level factors, the respondents who lived in higher and strict control area, and higher population density reported higher stress scores. Conclusion: Individual and provincial factors appear to influence elevated stress levels. Our research indicates that the government should establish effective resilience promotion programs to mitigate the impact of stress on severe physical and psychological illnesses. Implementing these measures will improve the mental health and well-being of the general population and enhance the country's preparedness for future pandemics or emerging outbreaks.

Indexed as

COVID-19Mental HealthSocial Determinants of HealthStress, PsychologicalAdolescentAdultAgedFemaleHealth SurveysHumansMaleMiddle AgedMultilevel AnalysisPandemicsSARS-CoV-2Socioeconomic FactorsCOVID-19individual-levelmultilevel analysisprovincial-levelstressThailand

Identifiers

PMID40951392
PMCPMC12427797

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.