Relationship between neighborhood census-tract level socioeconomic status and respiratory syncytial virus-associated hospitalizations in U.S. adults, 2015-2017.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
23 Mar 2021
Historique:
received: 12 11 2020
accepted: 15 03 2021
entrez: 24 3 2021
pubmed: 25 3 2021
medline: 23 4 2021
Statut: epublish

Résumé

Respiratory syncytial virus (RSV) infection causes substantial morbidity and mortality in children and adults. Socioeconomic status (SES) is known to influence many health outcomes, but there have been few studies of the relationship between RSV-associated illness and SES, particularly in adults. Understanding this association is important in order to identify and address disparities and to prioritize resources for prevention. Adults hospitalized with a laboratory-confirmed RSV infection were identified through population-based surveillance at multiple sites in the U.S. The incidence of RSV-associated hospitalizations was calculated by census-tract (CT) poverty and crowding, adjusted for age. Log binomial regression was used to evaluate the association between Intensive Care Unit (ICU) admission or death and CT poverty and crowding. Among the 1713 cases, RSV-associated hospitalization correlated with increased CT level poverty and crowding. The incidence rate of RSV-associated hospitalization was 2.58 (CI 2.23, 2.98) times higher in CTs with the highest as compared to the lowest percentages of individuals living below the poverty level (≥ 20 and < 5%, respectively). The incidence rate of RSV-associated hospitalization was 1.52 (CI 1.33, 1.73) times higher in CTs with the highest as compared to the lowest levels of crowding (≥5 and < 1% of households with > 1 occupant/room, respectively). Neither CT level poverty nor crowding had a correlation with ICU admission or death. Poverty and crowding at CT level were associated with increased incidence of RSV-associated hospitalization, but not with more severe RSV disease. Efforts to reduce the incidence of RSV disease should consider SES.

Sections du résumé

BACKGROUND BACKGROUND
Respiratory syncytial virus (RSV) infection causes substantial morbidity and mortality in children and adults. Socioeconomic status (SES) is known to influence many health outcomes, but there have been few studies of the relationship between RSV-associated illness and SES, particularly in adults. Understanding this association is important in order to identify and address disparities and to prioritize resources for prevention.
METHODS METHODS
Adults hospitalized with a laboratory-confirmed RSV infection were identified through population-based surveillance at multiple sites in the U.S. The incidence of RSV-associated hospitalizations was calculated by census-tract (CT) poverty and crowding, adjusted for age. Log binomial regression was used to evaluate the association between Intensive Care Unit (ICU) admission or death and CT poverty and crowding.
RESULTS RESULTS
Among the 1713 cases, RSV-associated hospitalization correlated with increased CT level poverty and crowding. The incidence rate of RSV-associated hospitalization was 2.58 (CI 2.23, 2.98) times higher in CTs with the highest as compared to the lowest percentages of individuals living below the poverty level (≥ 20 and < 5%, respectively). The incidence rate of RSV-associated hospitalization was 1.52 (CI 1.33, 1.73) times higher in CTs with the highest as compared to the lowest levels of crowding (≥5 and < 1% of households with > 1 occupant/room, respectively). Neither CT level poverty nor crowding had a correlation with ICU admission or death.
CONCLUSIONS CONCLUSIONS
Poverty and crowding at CT level were associated with increased incidence of RSV-associated hospitalization, but not with more severe RSV disease. Efforts to reduce the incidence of RSV disease should consider SES.

Identifiants

pubmed: 33757443
doi: 10.1186/s12879-021-05989-w
pii: 10.1186/s12879-021-05989-w
pmc: PMC7986301
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

293

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Auteurs

Jenna E Holmen (JE)

UCSF Benioff Children's Hospital, 747 52nd St, Oakland, CA, 94609, USA. Jenna.Holmen@ucsf.edu.

Lindsay Kim (L)

Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
US Public Health Service, Atlanta, GA, USA.

Bryanna Cikesh (B)

Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.

Pam Daily Kirley (PD)

California Emerging Infections Program, Oakland, CA, USA.

Shua J Chai (SJ)

Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
California Emerging Infections Program, Oakland, CA, USA.

Nancy M Bennett (NM)

University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.

Christina B Felsen (CB)

University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.

Patricia Ryan (P)

Maryland Department of Health, Baltimore, MD, USA.

Maya Monroe (M)

Maryland Department of Health, Baltimore, MD, USA.

Evan J Anderson (EJ)

Departments of Medicine and Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Emerging Infections Program, Georgia Department of Health, Atlanta, GA, USA.
Veterans Affairs Medical Center, Atlanta, GA, USA.

Kyle P Openo (KP)

Emerging Infections Program, Georgia Department of Health, Atlanta, GA, USA.
Veterans Affairs Medical Center, Atlanta, GA, USA.
Foundation for Atlanta Veterans Education and Research, Decatur, GA, USA.

Kathryn Como-Sabetti (K)

Minnesota Department of Health, St. Paul, MN, USA.

Erica Bye (E)

Minnesota Department of Health, St. Paul, MN, USA.

H Keipp Talbot (HK)

Vanderbilt University Medical Center, Nashville, TN, USA.

William Schaffner (W)

Vanderbilt University Medical Center, Nashville, TN, USA.

Alison Muse (A)

New York State Department of Health, Albany, NY, USA.

Grant R Barney (GR)

New York State Department of Health, Albany, NY, USA.

Michael Whitaker (M)

Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.

Jennifer Ahern (J)

Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.

Christopher Rowe (C)

Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
San Francisco Department of Public Health, San Francisco, CA, USA.

Gayle Langley (G)

Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.

Art Reingold (A)

Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.

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Classifications MeSH