142nd APHA Annual Meeting and Exposition

Annual Meeting Recordings are now available for purchase

298621
Positive Deviance in Obesity: Characteristics of counties with relatively low obesity rates

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Monday, November 17, 2014 : 10:30 AM - 10:50 AM

Maureen Canavan, PhD, MPH , Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT
Jessica Holzer, PhD, MA , Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT
Elizabeth Bradley, MBA, PhD , Health Policy, Yale School of Public Health, New Haven, CT
Background: Obesity is a national epidemic; however, substantial variation in obesity rates is apparent between and within states. We sought to identify counties with relatively low rates of obesity within states that have the highest obesity rates nationally. We termed these counties “positive deviants” and identified county-level factors associated with being a positive deviant.

Methods: We used data from the Robert Wood Johnson County Health Rankings and Ratings database to rank counties and states by obesity rates. We identified all counties with the lowest quintile obesity rates that were located in states with highest quintile obesity rates (i.e., positive deviant counties). We used fixed effects regression to identify measures of the healthcare environment, food and physical activity environments, and socio-demographic characteristics of the counties that were associated positive deviance. 

Results: Of 3,141 counties in the US, a total of 12 were positive deviants.  Compared with other counties, positive deviants had on average similar median incomes, higher per capita rates of dentists, physicians, and a larger percentage of adults reporting no leisure time physical activity. Positive deviant counties also were larger in population, had higher percentages of college graduates, lower rates of children in poverty, lower percentages of adults lacking insurance, and lower percentages of the workforce unemployed.

Conclusion: A small number of counties in the US are substantially different from their overall state in terms of obesity rates. A diverse set of factors including health care resources, physical activity, and socio-demographic characteristics distinguish these counties and may explain the deviance. 

Learning Areas:

Chronic disease management and prevention
Public health or related public policy
Public health or related research

Learning Objectives:
Identify counties exhibiting positive deviance in obesity rates relative to state and national averages. Compare characteristics of positive deviant counties with those of negative deviant counties and identify differences.

Keyword(s): Obesity, Public Health Policy

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am trained as an epidemiologist and have significant experience qualitative and quantitative data analysis as well as experience researching organizational dynamics of groups with Among my scientific interests has been health outcomes, health management and organizational culture.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.