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Social Networks as a Key Health Determinant in Acute Illness Recovery: A Lesson from the COVID-19 Pandemic - 10/06/24

Doi : 10.1016/j.amjmed.2024.04.024 
Di Pan, DO, MS a, , Jihui L. Diaz, PhD b, Karissa Weidman, MD c, Julia Graham, MD a, Parag Goyal, MD, MSc d, Mangala Rajan, MBA e, Jennifer Lau, MPH e, Laura Pinheiro, PhD e, Leena Rachid, BS g, Will Simmons, MPH f, Edward J. Schenck, MD, MS a, Monika M. Safford, MD e, Lindsay Lief, MD a
a Division of Pulmonary and Critical Care, Department of Medicine, Weill Cornell Medical College, New York, N.Y. 
b Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Penn. 
c Division of Pulmonary and Critical Care Medicine, Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, N.Y. 
d Division of Cardiology, Department of Medicine, Weill Cornell Medical College, New York, N.Y. 
e Division of General Internal Medicine, Department of Medicine, Weill Cornell Medical College, New York, N.Y. 
f Department of Population Health Sciences, Weill Cornell Medical College, New York, N.Y. 
g Stritch School of Medicine at Loyola University Chicago, Maywood, Ill 

Requests for reprints should be addressed to Di Pan, DO, MS, Division of Pulmonary and Critical Care, Department of Medicine, Weill Cornell Medical College, 1300 York Avenue, A-328, New York, NY, 10065.Division of Pulmonary and Critical CareDepartment of MedicineWeill Cornell Medical College1300 York AvenueA-328New YorkNY10065

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Abstract

Background

The COVID-19 pandemic highlighted the importance of considering social determinants of health in health outcomes. Within this spectrum of determinants, social networks garnered attention as the pandemic highlighted the negative effects of social isolation in the context of social distancing measures. Postpandemic, examining the role social networks play in COVID-19 recovery can help guide patient care and shape future health policies. This study aimed to investigate the relationship between social networks and self-rated health change, as well as physical function, in patients recovering from COVID-19 pneumonia.

Methods

This was a retrospective cohort study utilizing clinical data from 2 New York City hospitals and a 9-month follow-up survey of COVID-19 pneumonia survivors. We evaluated a composite Social Network Score from the 6-item Lubben Social Network Scale and its association with 2 outcomes: 1) self-rated health change and 2) physical function.

Results

A total of 208 patients were included in this study. A 1-point increase in the Social Network Score was associated with greater odds of both same or improved self-rated health change (odds ratio [OR] 1.07, 95% CI 1.02-1.12, P = .01), as well as unimpaired physical function (OR 1.08, 95% CI 1.03-1.14, P < .01).

Conclusion

This study emphasized the importance of social networks as a social determinant of health among patients recovering from COVID-19 hospitalization. Targeted interventions to enhance social networks may benefit not only COVID-19 patients but also individuals recovering from other acute illnesses.

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Keywords : COVID-19, Recovery, Social network, Social support, Social determinants of health


Plan


 Funding: This study was supported by the NHLBI 2T32HL134629-06A1 grant, and the Stony Wold-Herbert Fund.
 Conflict of Interest:: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 Authorship: All authors have contributed substantially to the project and had access to the data and a role in manuscript preparation. DPD: Writing – review & editing, Writing – original draft, Methodology, Investigation, Funding acquisition, Formal analysis, Data curation, Conceptualization; JLD: Writing – original draft, Supervision, Formal analysis, Conceptualization; KW: Writing – review & editing, Writing – original draft, Conceptualization; JG: Writing – review & editing, Conceptualization; PG: Writing – review & editing, Data curation, Conceptualization; MR: Writing – review & editing, Data curation; JL: Writing – review & editing, Data curation; LP: Writing – review & editing, Data curation, Conceptualization; LR: Writing – review & editing, Conceptualization; WS: Writing – review & editing, Methodology, Formal analysis; EJS: Writing – review & editing, Methodology, Conceptualization; MMS: Writing – review & editing, Writing – original draft, Supervision, Methodology, Conceptualization; LL: Writing – review & editing, Writing – original draft, Supervision, Conceptualization.


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