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Psychological distress among Greater Jakarta area residents during the COVID-19 pandemic and community containment

INTRODUCTION: Coronavirus disease 2019 (COVID-19) is an emerging pandemic affecting the global population. Community-based quarantine can slow down the pandemic growth while adversely affecting population-wide psychological well-being. Affected psychological well-being could potentially influence po...

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Detalles Bibliográficos
Autores principales: Elvira, Sylvia Detri, Lamuri, Aly, Lukman, Petrin Redayani, Malik, Khamelia, Shatri, Hamzah, Abdullah, Murdani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879033/
https://www.ncbi.nlm.nih.gov/pubmed/33615018
http://dx.doi.org/10.1016/j.heliyon.2021.e06289
Descripción
Sumario:INTRODUCTION: Coronavirus disease 2019 (COVID-19) is an emerging pandemic affecting the global population. Community-based quarantine can slow down the pandemic growth while adversely affecting population-wide psychological well-being. Affected psychological well-being could potentially influence population compliance in following stipulated community quarantine procedures. AIM: The aim was to quantify psychological distress among Greater Jakarta area residents during the community containment period. OBJECTIVES: The objective was to measure depression, anxiety, and stress levels using the Indonesian version of the DASS-21. Demographic data on sex, education strata, and working/productive-age group were also collected. METHODS: This cross-sectional observational analytic study employed an online questionnaire involving participants acquired through snowball sampling. The questionnaire comprises two parts: demographic data and psychological distress indicators. Linear regression evaluated psychological distress as a response variable. RESULTS: Among 1,205 women and 824 men, our findings suggested male sex, age in the range of 15-24 years, and having a bachelor's degree or professional qualification have a strong association with psychological distress. CONCLUSION: By addressing the population at risk, policymakers can identify better countermeasures for preventing psychological distress.