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Persistent Disparities In Smoking Among Rural Appalachians: Evidence From The Mountain Air Project, Kathryn Cardarelli, Susan C. Westneat, Madeline Dunfee, Beverly May, Nancy Schoenberg, Steven R. Browning
Persistent Disparities In Smoking Among Rural Appalachians: Evidence From The Mountain Air Project, Kathryn Cardarelli, Susan C. Westneat, Madeline Dunfee, Beverly May, Nancy Schoenberg, Steven R. Browning
Health, Behavior & Society Faculty Publications
BACKGROUND: Adult smoking prevalence in Central Appalachia is the highest in the United States, yet few epidemiologic studies describe the smoking behaviors of this population. Using a community-based approach, the Mountain Air Project (MAP) recruited the largest adult cohort from Central Appalachia, allowing us to examine prevalence and patterns of smoking behavior.
METHODS: A cross-sectional epidemiologic study of 972 participants aged 21 years and older was undertaken 2015-2017, with a response rate of 82%. Prevalence ratios and 95% confidence intervals for current smoking (compared to nonsmokers) were computed for the entire cohort then stratified by multiple characteristics, including respiratory health. …
An Interactive, Mobile-Based Tool For Personal Social Network Data Collection And Visualization Among A Geographically Isolated And Socioeconomically Disadvantaged Population: Early-Stage Feasibility Study With Qualitative User Feedback, Katherine S. Eddens, Jesse M. Fagan, Tom Collins
An Interactive, Mobile-Based Tool For Personal Social Network Data Collection And Visualization Among A Geographically Isolated And Socioeconomically Disadvantaged Population: Early-Stage Feasibility Study With Qualitative User Feedback, Katherine S. Eddens, Jesse M. Fagan, Tom Collins
Health, Behavior & Society Faculty Publications
Background: Personal social networks have a profound impact on our health, yet collecting personal network data for use in health communication, behavior change, or translation and dissemination interventions has proved challenging. Recent advances in social network data collection software have reduced the burden of network studies on researchers and respondents alike, yet little testing has occurred to discover whether these methods are: (1) acceptable to a variety of target populations, including those who may have limited experience with technology or limited literacy; and (2) practical in the field, specifically in areas that are geographically and technologically disconnected, such as rural …