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Social determinants of health related to stay-at-home order adherence and social distancing attitudes among a diverse Deep South population

OBJECTIVE: To describe COVID-19 related symptoms and medical care experienced in the first six months of the pandemic as well as stay-at-home order adherence, and attitudes related to COVID-19 risk and social distancing among a diverse sample of adults in the Deep South. METHODS: Survey data were co...

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Detalles Bibliográficos
Autores principales: Lemacks, Jennifer L., Greer, Tammy, Aras, Sermin, Abbott, Laurie, Willis, Darlene, Gipson, June, Elasri, Mohamed O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609987/
https://www.ncbi.nlm.nih.gov/pubmed/34814881
http://dx.doi.org/10.1186/s12889-021-12093-w
Descripción
Sumario:OBJECTIVE: To describe COVID-19 related symptoms and medical care experienced in the first six months of the pandemic as well as stay-at-home order adherence, and attitudes related to COVID-19 risk and social distancing among a diverse sample of adults in the Deep South. METHODS: Survey data were collected from 411 Louisiana and Mississippi residents for three weeks in June 2020 through social media. RESULTS: Over half (52.5%) of participants who experienced COVID-19 related symptoms (with 41.5% experiencing at least one symptom) did not feel the severity of symptoms warranted seeking medical care. 91.6% of the Deep South adults visited certain places or did activities where visiting or gathering with other people was involved during stay-at-home mandates. Religiosity/spirituality, age, education, number of children in the home, attitudes related to COVID-19 risk of complications and social distancing were related to the greater/lesser likelihood of stay-at-home order adherence. CONCLUSIONS: Various cultural and contextual factors were related to stay-at-home order adherence. Understanding how social values, life stage, socioeconomic, and geographic factors influence stay-at-home order adherence would lead to more effective policy design to improve population adherence.