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Refining Community Characteristic Composites Representing American Community Survey Item Data

Abstract Number:

2068 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Poster 

Participants:

Scott Rega (1), Wali Johnson (2), Irene Feurer (3)

Institutions:

(1) Vanderbilt University Medical Center, Nashville, TN, (2) Vanderbilt University Medica Center, N/A, (3) Vanderbilt University Medical Center, N/A

Co-Author(s):

Wali Johnson  
Vanderbilt University Medica Center
Irene Feurer  
Vanderbilt University Medical Center

First Author:

Scott Rega  
Vanderbilt University Medical Center

Presenting Author:

Scott Rega  
Vanderbilt University Medical Center

Abstract Text:

Our earlier work reported two US county-level composites, health/economics (HEC) and community capital/urbanicity (CCU), using American Community Survey (ACS) data and two other national health-related databases. We aim to develop new composites using 2023 5-year ACS estimates. One hundred two ACS variables among 3,144 counties were analyzed using principal components analysis. Standardized composite scores were computed for each county and their associations with HEC, CCU, Neighborhood Deprivation Index (NDI) and Urban-Rural Classification Scheme (URC) scores were evaluated. A 72-item, two-component solution that approximated "simple structure" and accounted for 41.4% of the total item covariance was interpreted to represent: 1) financial resources & educational attainment (FREA) and 2) age, demographic characteristics & urbanicity (ADU). Non-chance associations (r or rho, p<0.001) between FREA and HEC, CCU, NDI and URC were 0.77, 0.57, -0.88 and -0.44, respectively. For ADU they were 0.45, -0.69, -0.23 and 0.37. Patterns of associations indicated general concordance of the new composites with other measures. Future work will focus on smaller geographic entities using ACS data.

Keywords:

Latent variable models and principal components analysis|American Community Survey data| United States county community characteristics |Social determinants of health | |

Sponsors:

Survey Research Methods Section

Tracks:

Data Analysis/Modeling

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