ArticlePreventing chronic disease2011
Using small-area estimation method to calculate county-level prevalence of obesity in Mississippi, 2007-2009.
Article in Preventing chronic disease, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Temporal Trends of the Obesity Epidemic in the United States.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Review
- Impact of the use of small-area models on estimation of attributable mortality at a regional level.European journal of public health · 2024Article
- Temporal trends in early-onset colorectal cancer incidence (2000-2020) by age group and five geographic regions in the state of Georgia.American journal of cancer research · 2024Article
- Validation of a small-area model for estimation of smoking prevalence at a subnational level.Tobacco induced diseases · 2023Article
- Small-area models to assess the geographical distribution of tobacco consumption by sex and age in Spain.Tobacco induced diseases · 2023Article
- Colorectal Cancer in Younger Adults.Hematology/oncology clinics of North America · 2022Review
- Estimates of Childhood Overweight and Obesity at the Region, State, and County Levels: A Multilevel Small-Area Estimation Approach.American journal of epidemiology · 2021Article
- Small area estimation and childhood obesity surveillance using electronic health records.PloS one · 2021Article
- Use of Small-Area Estimates to Describe County-Level Geographic Variation in Prevalence of Extreme Obesity Among US Adults.JAMA network open · 2020Article
- Epidemiology and Mechanisms of the Increasing Incidence of Colon and Rectal Cancers in Young Adults.Gastroenterology · 2020Review
- INCORPORATING DESIGN WEIGHTS AND HISTORICAL DATA INTO MODEL-BASED SMALL-AREA ESTIMATION.Journal of data science : JDS · 2020Article
- Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- National Food Affordability: A County-Level Analysis.Preventing chronic disease · 2018Article
- The "Obesity Paradox" in Chronic Obstructive Pulmonary Disease: Can It Be Resolved?Annals of the American Thoracic Society · 2018Article
- A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System.Preventing chronic disease · 2016Article
- Using Small-Area Estimation to Calculate the Prevalence of Smoking by Subcounty Geographic Areas in King County, Washington, Behavioral Risk Factor Surveillance System, 2009-2013.Preventing chronic disease · 2016Article
- The impact of preventive screening resource distribution on geographic and population-based disparities in colorectal cancer in Mississippi.BMC research notes · 2015Article
- Validation of multilevel regression and poststratification methodology for small area estimation of health indicators from the behavioral risk factor surveillance system.American journal of epidemiology · 2015Article
- The relationship between interviewer-respondent race match and reporting of energy intake using food frequency questionnaires in the rural South United States.Preventive medicine reports · 2015Article
- Examination of spatial polygamy among young gay, bisexual, and other men who have sex with men in New York City: the P18 cohort study.International journal of environmental research and public health · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionObesity is one of Mississippi's pressing public health problems. Since 2005, the state has ranked first in the nation in adult obesity prevalence. For authorities to take targeted action against the obesity epidemic, counties, regions, and subpopulations that are most affected by obesity need to be identified. The objective of this study was to assess the scope, socioeconomic and geographic characteristics, and temporal trends of the obesity epidemic in Mississippi.
methodsUsing 2007-2009 Mississippi Behavioral Risk Factor Surveillance System data and auxiliary data, we applied a small-area estimation method to estimate county-level obesity prevalence in 2007 through 2009, to assess the association between obesity and socioeconomic factors and to evaluate temporal trends. We determined geographic patterns by mapping obesity prevalence. We appraised the precision of estimates by the width of 95% confidence intervals, and we validated our small-area estimates by comparing them with direct estimates.
resultsIn 2009, the county prevalence of obesity ranged from 30.5% to 44.2%. Counties with the highest prevalence of obesity were in the Delta region and along the Mississippi River. The obesity prevalence increased from 2007 through 2009. Age, sex, race, education, and employment status were associated with obesity.
conclusionThe 2009 obesity prevalence in all Mississippi counties was substantially higher than the national average and differed by geography and race. Although urgent intervention measures are needed in the entire state, policies and programs giving higher priority to higher-risk areas and subpopulations identified by this study may be better strategies.
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21672409PMC3136983What OpenQuestion holds
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