Your browser doesn't support javascript.
Determinants of COVID-19 testing among late middle-aged and older adults: Applying the health belief model.
Sun, Na; Hua, Cassandra L; Qiu, Xiao; Brown, J Scott.
  • Sun N; Department of Sociology and Gerontology, Miami University.
  • Hua CL; School of Public Health, Brown University.
  • Qiu X; Department of Sociology and Gerontology, Miami University.
  • Brown JS; Department of Sociology and Gerontology, Miami University.
Aging Health Res ; 2(2): 100066, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1757038
ABSTRACT

Objectives:

The purpose of this study was to examine correlates of taking a COVID-19 test among late middle-aged and older adults using nationally representative data.

Methods:

Data were obtained from the 2020 Health and Retirement Study midway release COVID-19 module. Our sample was representative of community residing adults aged 51 and over in the United States (n = 2,870). Measurements We regressed taking a COVID-19 test on demographic characteristics, medical comorbidities, and measures related to the health belief model (i.e., perceived severity, perceived susceptibility, cues to action, and perceived barriers) using logistic regression, stratifying the model by 10-year age categories.

Results:

Concern about the pandemic was associated with an increase in the likelihood of taking a test among late middle-aged adults. Knowing someone who was diagnosed with COVID-19 was associated with taking a test in most age categories. Financial barriers and knowing someone who died of COVID-19 were not associated with taking a test.

Conclusions:

How late middle-aged and older adults perceive the COVID-19 pandemic may significantly influence their likelihood of taking a COVID-19 test.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Aging Health Res Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Aging Health Res Year: 2022 Document Type: Article