Rural Health
Resources by Topic: Statistics and data
Rural and Tribal Elder Justice Resource Guide
Provides an overview of elder abuse in rural and tribal communities as presented during a summit event hosted by the U.S. Department of Justice's Elder Justice Initiative on November 14-15, 2018. Includes statistical data on impacts of elder abuse in rural settings and links to toolkits, federal resources, and community outreach resources. Supplemental document contains speaker presentation slides.
Additional links: Rural and Tribal Elder Justice Summit Materials
Date: 11/2018
Sponsoring organizations: U.S. Department of Agriculture, U.S. Department of Justice
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Provides an overview of elder abuse in rural and tribal communities as presented during a summit event hosted by the U.S. Department of Justice's Elder Justice Initiative on November 14-15, 2018. Includes statistical data on impacts of elder abuse in rural settings and links to toolkits, federal resources, and community outreach resources. Supplemental document contains speaker presentation slides.
Additional links: Rural and Tribal Elder Justice Summit Materials
Date: 11/2018
Sponsoring organizations: U.S. Department of Agriculture, U.S. Department of Justice
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Rates of Obesity and Obesogenic Behaviors of Rural Appalachian Adolescents: How Do They Compare to Other Adolescents or Recommendations?
Evaluates data from a sample of Appalachian adolescents in Ohio to compare obesity and related behaviors to that of the national adolescent population. Includes comparisons for body mass index (BMI), mean body fat percentage, daily physical activity behaviors, and sugar-sweetened beverage consumption.
Author(s): Laureen H. Smith, Devin Laurent, Erica Baumker, Rick L. Petosa
Citation: Journal of Physical Activity and Health, 15(11), 874-881
Date: 11/2018
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Evaluates data from a sample of Appalachian adolescents in Ohio to compare obesity and related behaviors to that of the national adolescent population. Includes comparisons for body mass index (BMI), mean body fat percentage, daily physical activity behaviors, and sugar-sweetened beverage consumption.
Author(s): Laureen H. Smith, Devin Laurent, Erica Baumker, Rick L. Petosa
Citation: Journal of Physical Activity and Health, 15(11), 874-881
Date: 11/2018
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Rural-Urban Differences in Cancer Incidence and Trends in the United States
Examines the North American Association of Central Cancer Registries' public use dataset to compare rural and urban population-based cancer incidence rates from 2009-2013 and trends from 1995-2013. Explores factors associated with rural cancer disparities, including demographic, geographic, and socioeconomic characteristics as well as exposure to carcinogens, like tobacco and HPV.
Author(s): Whitney E. Zahnd, Aimee S. James, Wiley D. Jenkins, et al.
Citation: Cancer Epidemiology, Biomarkers & Prevention, 27(11), 1265-1274
Date: 11/2018
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Examines the North American Association of Central Cancer Registries' public use dataset to compare rural and urban population-based cancer incidence rates from 2009-2013 and trends from 1995-2013. Explores factors associated with rural cancer disparities, including demographic, geographic, and socioeconomic characteristics as well as exposure to carcinogens, like tobacco and HPV.
Author(s): Whitney E. Zahnd, Aimee S. James, Wiley D. Jenkins, et al.
Citation: Cancer Epidemiology, Biomarkers & Prevention, 27(11), 1265-1274
Date: 11/2018
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Utility and Generalizability of Multi-State, Population-Based Cancer Registry Data for Rural Cancer Surveillance Research in the United States
Analyzes various cancer registries to determine the usability of these sources in rural cancer surveillance research. Includes data from 2009-2013 on rural and urban cancer incidence rates by cancer site and race/ethnicity.
Author(s): Whitney Zahnd, Wiley Jenkins, Aimee James, et al.
Citation: Cancer Epidemiology, Biomarkers & Prevention, 27(11), 1252-1260
Date: 11/2018
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Analyzes various cancer registries to determine the usability of these sources in rural cancer surveillance research. Includes data from 2009-2013 on rural and urban cancer incidence rates by cancer site and race/ethnicity.
Author(s): Whitney Zahnd, Wiley Jenkins, Aimee James, et al.
Citation: Cancer Epidemiology, Biomarkers & Prevention, 27(11), 1252-1260
Date: 11/2018
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Factors Associated with Depression Detection in a New Hampshire Mental Health Outreach Program
Presents a study on the accuracy of depression detection in older adults in New Hampshire. Compares a number of demographic factors, such as age, sex, and rural status, among others.
Author(s): Angela R. Ghesquiere, Renée Pepin, Jennifer Kinsey, et al.
Citation: Aging and Mental Health, 22(11), 1471-1476
Date: 11/2018
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Presents a study on the accuracy of depression detection in older adults in New Hampshire. Compares a number of demographic factors, such as age, sex, and rural status, among others.
Author(s): Angela R. Ghesquiere, Renée Pepin, Jennifer Kinsey, et al.
Citation: Aging and Mental Health, 22(11), 1471-1476
Date: 11/2018
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Talking about Hepatitis C: FAQs from Young Adults who Inject Drugs
Highlights some common questions posed by rural young adults at high risk of hepatitis C (HCV) infection due to injectable drug use. Breaks down demographic data by sex and education among other measures.
Author(s): Lauren L. Knight, Katherine Wagner, Yuridia Leyva, et al.
Citation: Health Promotion Practice, 19(6), 815-822
Date: 11/2018
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Highlights some common questions posed by rural young adults at high risk of hepatitis C (HCV) infection due to injectable drug use. Breaks down demographic data by sex and education among other measures.
Author(s): Lauren L. Knight, Katherine Wagner, Yuridia Leyva, et al.
Citation: Health Promotion Practice, 19(6), 815-822
Date: 11/2018
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Practice Rurality of Family Physicians Enrolled in a Practice Transformation Network
An analysis of the enrollment of small and rural practices in the Transforming Clinical Practice Initiative (TCPI), supporting nationwide, collaborative and peer-based learning, to determine if a greater proportion of rural practices are enrolled in Practice Transformation Networks (PTNs) than are found among non-enrolled practices. In addition, the analysis includes the enrollment of family physicians across states and PTNs. Rural Urban Commuting Area (RUCA, version 2.0) codes were used to determine rurality. TCPI enrollment variation within rural practices is discussed.
Author(s): Robert L. Phillips, Elizabeth M. Bishop, Lars E. Peterson, et al.
Citation: Journal of the American Board of Family Medicine, 31(6), 952-956
Date: 11/2018
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An analysis of the enrollment of small and rural practices in the Transforming Clinical Practice Initiative (TCPI), supporting nationwide, collaborative and peer-based learning, to determine if a greater proportion of rural practices are enrolled in Practice Transformation Networks (PTNs) than are found among non-enrolled practices. In addition, the analysis includes the enrollment of family physicians across states and PTNs. Rural Urban Commuting Area (RUCA, version 2.0) codes were used to determine rurality. TCPI enrollment variation within rural practices is discussed.
Author(s): Robert L. Phillips, Elizabeth M. Bishop, Lars E. Peterson, et al.
Citation: Journal of the American Board of Family Medicine, 31(6), 952-956
Date: 11/2018
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Incidence of Gastroschisis in California
Reports on the incidence of gastroschisis in California by county using data from the Linked Birth Database from the California Office of Statewide Health Planning and Development from 1995 to 2012. Identifies counties according to the 2010 census as rural, partially rural, and metropolitan; identifies agricultural counties based on agricultural production.
Author(s): Jamie E. Anderson, Yvonne Cheng, Jacob T. Stephenson, et al.
Citation: JAMA Surgery, 153(11), 1053-1055
Date: 11/2018
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Reports on the incidence of gastroschisis in California by county using data from the Linked Birth Database from the California Office of Statewide Health Planning and Development from 1995 to 2012. Identifies counties according to the 2010 census as rural, partially rural, and metropolitan; identifies agricultural counties based on agricultural production.
Author(s): Jamie E. Anderson, Yvonne Cheng, Jacob T. Stephenson, et al.
Citation: JAMA Surgery, 153(11), 1053-1055
Date: 11/2018
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Comparison of Dermatologist Density Between Urban and Rural Counties in the United States
Evaluates the longitudinal trends, and demographic and environmental factors associated with the rural and urban distribution of dermatologists using 1995-2013 county-level data from the Area Health Resources File.
Author(s): Hao Feng, Juliana Berk-Krauss, Paula W. Feng, et al.
Citation: JAMA Dermatology, 154(11), 1265-1271
Date: 11/2018
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Evaluates the longitudinal trends, and demographic and environmental factors associated with the rural and urban distribution of dermatologists using 1995-2013 county-level data from the Area Health Resources File.
Author(s): Hao Feng, Juliana Berk-Krauss, Paula W. Feng, et al.
Citation: JAMA Dermatology, 154(11), 1265-1271
Date: 11/2018
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Designed Cultural Adaptation and Delivery Quality in Rural Substance Use Prevention: An Effectiveness Trial for the Keepin' it REAL Curriculum
Examines the effectiveness of two versions – one urban and one rural - of a culturally adapted evidence-based middle school substance use prevention curriculum on adolescents. Data collected included adolescent self-reported substance use, and ratings of quality in delivery analyzed from video recordings of lessons presented.
Author(s): Michael L. Hecht, YoungJu Shin, Jonathan Pettigrew, Michelle Miller-Day, Janice L. Krieger
Citation: Prevention Science 19(8), 1008-1018
Date: 11/2018
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Examines the effectiveness of two versions – one urban and one rural - of a culturally adapted evidence-based middle school substance use prevention curriculum on adolescents. Data collected included adolescent self-reported substance use, and ratings of quality in delivery analyzed from video recordings of lessons presented.
Author(s): Michael L. Hecht, YoungJu Shin, Jonathan Pettigrew, Michelle Miller-Day, Janice L. Krieger
Citation: Prevention Science 19(8), 1008-1018
Date: 11/2018
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