Estimating county-level tobacco use and exposure in South Carolina: a spatial model-based small area estimation approach

Jan M. Eberth; Alexander C. McLain; Yuan Hong; Erica Sercy; Abdoulaye Diedhiou; Daniel J. Kilpatrick

doi:10.1016/j.annepidem.2018.03.015

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Estimating county-level tobacco use and exposure in South Carolina: a spatial model-based small area estimation approach

Journal article

Peer reviewed

Estimating county-level tobacco use and exposure in South Carolina: a spatial model-based small area estimation approach

Jan M. Eberth, Alexander C. McLain, Yuan Hong, Erica Sercy, Abdoulaye Diedhiou and Daniel J. Kilpatrick

Annals of epidemiology, v 28(7), pp 481-488

Jul 2018

DOI: https://doi.org/10.1016/j.annepidem.2018.03.015

PMID: 29685650

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Abstract

Adult

Small area estimation

Smoking

Surveys and Questionnaires

Tobacco

Local health statistics are increasingly requested for policy-making and programmatic purposes; however, population-based surveys are often inadequate to support direct estimation for small areas. Model-based estimation techniques can be used to create local estimates for public health outcomes. Using the 2014–2015 South Carolina (SC) Adult Tobacco Survey, we examined tobacco-related outcomes at the county level using a spatial multilevel, poststratification approach. To create county-level tobacco estimates, we used a two-level model with a spatially intrinsic conditional autoregressive random intercept. Stratum-specific (race, age, and sex) estimates for each county were then created and averaged based on population data obtained from the U.S. Census. The estimated prevalence of current smoking in SC counties among adults ranged from 7.4% to 35.1%, and the percentage reporting ever trying an e-cigarette ranged from 4.2% to 30.2%. Model validation showed considerable agreement between direct and indirect estimates (Pearson and Spearman correlations all >0.75) that varied by the sample size of the outcome, as hypothesized. Data from the SC Adult Tobacco Survey were used to develop county-level estimates of multiple tobacco-related outcomes using a spatial multilevel, poststratification approach. The results showed heterogeneity in smoking behaviors across the state along with marked spatial correlation.

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8 citations in Scopus

Details

Title: Estimating county-level tobacco use and exposure in South Carolina: a spatial model-based small area estimation approach
Creators: Jan M. Eberth - Drexel University, Health Management and Policy
Alexander C. McLain - University of South Carolina
Yuan Hong - Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
Erica Sercy - University of South Carolina
Abdoulaye Diedhiou - South Carolina Department of Health and Environmental Control
Daniel J. Kilpatrick - South Carolina Department of Health and Environmental Control
Publication Details: Annals of epidemiology, v 28(7), pp 481-488
Publisher: Elsevier
Resource Type: Journal article
Language: English
Academic Unit: Health Management and Policy
Web of Science ID: WOS:000435227000010
Scopus ID: 2-s2.0-85045906484
Other Identifier: 991021855514104721

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Web of Science research areas: Public, Environmental & Occupational Health