Effect of social capital, social support and social network formation on the quality of life of American adults during COVID-19.

Ebenezer Larnyo, Sharon Tettegah, Brianna Griffin, Jonathan Aseye Nutakor, Natasha Preece, Stephen Addai-Dansoh, Natalia Dubon, Senyuan Liu
Author Information
  1. Ebenezer Larnyo: Center for Black Studies Research, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA. elarnyo@ucsb.edu. ORCID
  2. Sharon Tettegah: Center for Black Studies Research, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.
  3. Brianna Griffin: University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.
  4. Jonathan Aseye Nutakor: Department of Health Policy and Management, School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province, China. ORCID
  5. Natasha Preece: University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.
  6. Stephen Addai-Dansoh: Department of Health Policy and Management, School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province, China. ORCID
  7. Natalia Dubon: University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.
  8. Senyuan Liu: University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.

Abstract

This study aims to evaluate the effect of social capital (SC), social support (SS), and social network formation (SNF) on the quality of life of American adults during COVID-19. Using a probability sample of American adults aged 49+, 2370 respondents were selected from the National Social Life Health and Aging Project (NSHAP) dataset for analysis using an integrated partial least squares based on structural equation modeling (PLS-SEM)-K-fold cross-validation approach. The analysis showed that social capital assessed using civic engagement, social cohesion, socioeconomic status (SES), social support, and social network formation were significantly and positively associated with American adults' quality of life during the COVID-19 pandemic. Furthermore, the results showed that using the PLS-SEM and K-fold cross-validation approach produced a medium predictive power of the overall model, confirming the importance of SC, SS, and SNF in predicting quality of life-outcomes. These findings suggest that efforts to promote the well-being of American adults, especially older adults, during the pandemic should focus on strengthening social capital, social support and social network formation.

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MeSH Term

Humans
United States
Aged
Quality of Life
Social Capital
Pandemics
COVID-19
Social Support
Social Class
Social Networking

Word Cloud

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