County-Level Geographic Disparities in Disabilities Among US Adults, 2018

Details

• Journal Article:
  Preventing Chronic Disease (PCD)
• Personal Author:
  Lu, Hua ; Wang, Yan ; Liu, Yong ; Holt, James B. ; Okoro, Catherine A. ; Zhang, Xingyou ; Zhang, Qing C. ; Greenlund, Kurt J.
• Description:
  Introduction ; Local data are increasingly needed for public health practice. County-level data on disabilities can be a valuable complement to existing estimates of disabilities. The objective of this study was to describe the county-level prevalence of disabilities among US adults and identify geographic clusters of counties with a higher or lower prevalence of disabilities. ; Methods ; We applied a multilevel logistic regression and poststratification approach to geocoded 2018 Behavioral Risk Factor Surveillance System data, Census 2018 county-level population estimates, and American Community Survey 2014–2018 poverty estimates to generate county-level estimates for 6 functional disabilities and any disability type. We used cluster-outlier spatial statistical methods to identify clustered counties. ; Results ; Among 3,142 counties, median estimated prevalence was 29.5% for any disability and differed by type: hearing (8.0%), vision (4.9%), cognition (11.5%), mobility (14.9%), self-care (3.7%), and independent living (7.2%). The spatial autocorrelation statistic, Moran’s I, was 0.70 for any disability and 0.60 or greater for all 6 types of disability, indicating that disabilities were highly clustered at the county level. We observed similar spatial cluster patterns in all disability types except hearing disability. ; Conclusion ; The results suggest substantial differences in disability prevalence across US counties. These data, heretofore unavailable from a health survey, may help with planning programs at the county level to improve the quality of life for people with disabilities.
• Subjects:
  • Humans
  • Adult
  • Quality of Life
  • Disabled Persons
  • Poverty
  • Censuses
  • Logistic Models
• Source:
  Prev Chronic Dis. 2023; 20
• DOI:
  http://dx.doi.org/10.5888/pcd20.230004
• ISSN:
  1545-1151
• Pubmed ID:
  37167553
• Pubmed Central ID:
  PMC10199691
• Document Type:
  Journal Article
• Place as Subject:
  United States
• Volume:
  20
• Download URL:
  https://stacks.cdc.gov/view/cdc/151006/cdc_151006_DS1.pdf
• File Type:
  [PDF - 1.48 MB]
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:808c7bfde9c5dec812cbf1ebcadef2c8fb944c6c9f9512a9007e37f1c15723e42395f9b1819d2d85aea34f2fdaabbbb1dd3db0b4c727a46da3bc4a51860e9c81