| Literature DB >> 36011898 |
Amaya Perez-Brumer1, Rebecca Balasa1,2, Aarti Doshi1, Jessica Brogdon3, Thuy Doan3,4, Catherine E Oldenburg3,4,5,6.
Abstract
While effective for slowing the transmission of SARS-CoV-2, public health measures, such as physical distancing and stay-at-home orders, have significantly shifted the way people interact and maintain social connections. To better understand how people sought social and psychological support amid the pandemic, we conducted a longitudinal qualitative evaluation of participants enrolled in a COVID-19 treatment trial (N = 30). All participants from the parent trial who consented to being contacted for future research studies were recruited electronically via email, and first-round virtual interviews were conducted between December 2020 and March 2021. Participants who participated in first-round interviews were contacted again, and follow-up interviews were conducted in January-February 2022. The results reported significant shifts in how participants connected to social support, including changes from physical to virtual modalities, and using different social networks for distinct purposes (i.e., Reddit/Facebook for information, WhatsApp for community connection). While having COVID-19, profound loneliness during isolation was described; yet, to mitigate effects, virtual support (i.e., emotional, knowledge-seeking) as well as in-person material support (e.g., groceries, snow-shoveling), were key. Public health efforts are needed to develop interventions that will improve the narratives about mental health challenges related to COVID-19 isolation, and to provide opportunities to share challenges in a supportive manner among social networks. Supporting social cohesion, despite the everchanging nature of COVID-19, will necessitate innovative multimodal strategies that learn from lived experiences across various stages of the pandemic.Entities:
Keywords: COVID-19; psychosocial health; social connection; social support
Mesh:
Year: 2022 PMID: 36011898 PMCID: PMC9407900 DOI: 10.3390/ijerph191610264
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Participant demographic characteristics.
| Characteristic | N (%) |
|---|---|
| Race/Ethnicity l | |
| African American | 1 (5.3%) |
| Afro-Caribbean | 1 (5.3%) |
| Asian American | 2 (10.5%) |
| Black | 1 (5.3%) |
| East Asian | 2 (10.5%) |
| Hispanic | 3 (15.8%) |
| Indian American | 2 (10.5%) |
| South Asian | 2 (10.5%) |
| Southeast Asian | 2 (10.5%) |
| White | 15 (75.0%) |
| Co-morbidities 1 | |
| None | 14 (73.7%) |
| Asthma | 2 (10.5%) |
| Chronic kidney di sease | 1 (5.3%) |
| Diabetes | 1 (5.3%) |
| History of cancer | 1 (5.3%) |
| Hypertension | 2 (10.5%) |
| State | |
| California | 11 (57.9%) |
| Georgia | 1 (5.3%) |
| Michigan | 1 (5.3%) |
| Missouri | 1 (5.3%) |
| New Mexico | 1 (5.3%) |
| New York | 3 (15.8%) |
| Texas | 1 (5.3%) |
1 Sum is >100% because some participants selected more than one option.