Rural Health
Resources by Topic: Statistics and data
Diagnoses and Prevalence of HIV Infection Among Hispanics or Latinos - United States, 2008-2013
Reports on changes in diagnoses of HIV infection in Hispanic and Latino adults and adolescents between 2008 and 2013. Table 1 includes year-by-year data by location of residence for urban, suburban, and rural areas.
Author(s): Kristen Mahle Gray, Eduardo E. Valverde, Tian Tang, Azfar-e-Alam Siddiqi, H. Irene Hall
Citation: MMWR (Morbidity and Mortality Weekly Report), 64(39), 1097-103
Date: 10/2015
Sponsoring organization: Centers for Disease Control and Prevention
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Reports on changes in diagnoses of HIV infection in Hispanic and Latino adults and adolescents between 2008 and 2013. Table 1 includes year-by-year data by location of residence for urban, suburban, and rural areas.
Author(s): Kristen Mahle Gray, Eduardo E. Valverde, Tian Tang, Azfar-e-Alam Siddiqi, H. Irene Hall
Citation: MMWR (Morbidity and Mortality Weekly Report), 64(39), 1097-103
Date: 10/2015
Sponsoring organization: Centers for Disease Control and Prevention
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A Cross-Sectional Study on Health Differences Between Rural and Non-Rural U.S. Counties Using the County Health Rankings
Examines the rural and urban differences in health and healthcare within the U.S. using data accessed from the 2013 County Health Rankings and Roadmaps. Vital health factors evaluated include mortality, morbidity, health behaviors, clinical care, social and economic factors, and the physical environment.
Author(s): Timothy J. Anderson, Daniel M. Saman, Martin S. Lipsky, M. Nawal Lutfiyya
Citation: BMC Health Services Research, 15, 441
Date: 10/2015
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Examines the rural and urban differences in health and healthcare within the U.S. using data accessed from the 2013 County Health Rankings and Roadmaps. Vital health factors evaluated include mortality, morbidity, health behaviors, clinical care, social and economic factors, and the physical environment.
Author(s): Timothy J. Anderson, Daniel M. Saman, Martin S. Lipsky, M. Nawal Lutfiyya
Citation: BMC Health Services Research, 15, 441
Date: 10/2015
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Nonmetro Unemployment Rates Have Declined, but Remain Highest for Adults with the Lowest Levels of Education
Line chart showing unemployment rates for rural adults year-by-year for 2007-2014, for those with less than a high school diploma, a high school diploma, some college, an associate's degree, a bachelor's degree, or graduate/professional degree.
Date: 10/2015
Sponsoring organization: USDA Economic Research Service
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Line chart showing unemployment rates for rural adults year-by-year for 2007-2014, for those with less than a high school diploma, a high school diploma, some college, an associate's degree, a bachelor's degree, or graduate/professional degree.
Date: 10/2015
Sponsoring organization: USDA Economic Research Service
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Delay Discounting and Self-Reported Impulsivity in Adolescent Smokers and Nonsmokers Living in Rural Appalachia
Examines whether impulsivity is associated with adolescent smoking status in rural Appalachian regions of Ohio and Kentucky. Impulsivity data was collected for two measures, delay discounting and the Barratt Impulsiveness Scale 11, through self-reported assessments. Includes demographic data on adolescent smokers and nonsmokers by number of cigarettes per day, number of friends who smoke, whether their closest friend smokes, and if at least one parent smokes.
Author(s): Russell Lewis, Millie Harris, Stacey A. Slone, Brent J. Shelton, Brady Reynolds
Citation: The American Journal on Addictions, 24(6), 492-494
Date: 09/2015
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Examines whether impulsivity is associated with adolescent smoking status in rural Appalachian regions of Ohio and Kentucky. Impulsivity data was collected for two measures, delay discounting and the Barratt Impulsiveness Scale 11, through self-reported assessments. Includes demographic data on adolescent smokers and nonsmokers by number of cigarettes per day, number of friends who smoke, whether their closest friend smokes, and if at least one parent smokes.
Author(s): Russell Lewis, Millie Harris, Stacey A. Slone, Brent J. Shelton, Brady Reynolds
Citation: The American Journal on Addictions, 24(6), 492-494
Date: 09/2015
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Not Just an Urban Phenomenon: Uninsured Rural Trauma Patients at Increased Risk for Mortality
Examines major trauma centers serving rural states to determine if rural uninsured patients have an increased risk of traumatic death. Includes data by type of insurance and rurality.
Author(s): Azeemuddin Ahmed, Karisa K. Harland, Bryce Hoffman, et al.
Citation: Western Journal of Emergency Medicine, 16(5), 632-641
Date: 09/2015
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Examines major trauma centers serving rural states to determine if rural uninsured patients have an increased risk of traumatic death. Includes data by type of insurance and rurality.
Author(s): Azeemuddin Ahmed, Karisa K. Harland, Bryce Hoffman, et al.
Citation: Western Journal of Emergency Medicine, 16(5), 632-641
Date: 09/2015
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Comparison of Asthma Prevalence Among African American Teenage Youth Attending Public High Schools in Rural Georgia and Urban Detroit
Compares the prevalence of asthma among African American youth in rural Georgia and Detroit, Michigan. Examines potential contributing factors for asthma, including rural-urban residence, socioeconomic status, and ancestry.
Author(s): Dennis R. Ownby, Martha S. Tingen, Suzanne Havstad, et al.
Citation: Journal of Allergy and Clinical Immunology, 136(3), 595-600.e3
Date: 09/2015
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Compares the prevalence of asthma among African American youth in rural Georgia and Detroit, Michigan. Examines potential contributing factors for asthma, including rural-urban residence, socioeconomic status, and ancestry.
Author(s): Dennis R. Ownby, Martha S. Tingen, Suzanne Havstad, et al.
Citation: Journal of Allergy and Clinical Immunology, 136(3), 595-600.e3
Date: 09/2015
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Individual and Neighborhood Predictors of Mortality among HIV-Positive Latinos with History of Injection Drug Use, Florida, 2000–2011
Examines disparities as well as individual and neighborhood predictors of mortality in HIV-positive Latinos with a history of injection drug use (IDU) in Florida. Provides demographic and other information on individuals age 13 and older diagnosed with HIV, with data for those with and without a history of IDU. Offers zip code-level characteristics, including rural/urban location. Includes implications for targeting prevention strategies in rural areas.
Author(s): Diana M. Sheehan, Mary Jo Trepka, Kristopher P. Fennie, et al.
Citation: Drug and Alcohol Dependence, 154, 243-250
Date: 09/2015
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Examines disparities as well as individual and neighborhood predictors of mortality in HIV-positive Latinos with a history of injection drug use (IDU) in Florida. Provides demographic and other information on individuals age 13 and older diagnosed with HIV, with data for those with and without a history of IDU. Offers zip code-level characteristics, including rural/urban location. Includes implications for targeting prevention strategies in rural areas.
Author(s): Diana M. Sheehan, Mary Jo Trepka, Kristopher P. Fennie, et al.
Citation: Drug and Alcohol Dependence, 154, 243-250
Date: 09/2015
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Comparison of Coliform Contamination in Non-Municipal Waters Consumed by the Mennonite Versus the Non-Mennonite Rural Populations
Determines the risk of Escherichia coli exposure from consuming non-municipal water sources by Mennonite and non-Mennonite rural households. Includes Mennonite and non-Mennonite data by season, water quality, health risk, and contaminant level.
Author(s): Alok Ravindra Amraotkar, Charles William Hargis, Alexander C. Cambon, et al.
Citation: Environmental Health and Preventive Medicine, 20(5), 338-346
Date: 09/2015
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Determines the risk of Escherichia coli exposure from consuming non-municipal water sources by Mennonite and non-Mennonite rural households. Includes Mennonite and non-Mennonite data by season, water quality, health risk, and contaminant level.
Author(s): Alok Ravindra Amraotkar, Charles William Hargis, Alexander C. Cambon, et al.
Citation: Environmental Health and Preventive Medicine, 20(5), 338-346
Date: 09/2015
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Evaluating Adverse Rural Crash Outcomes Using the NHTSA State Data System
Evaluates individual factors associated with severe injury and death after injury has occurred in rural motor vehicle crashes. Analyzes data from the National Highway Traffic Safety Administration and police-reported crashes in 11 states. Includes information on injury severity by rural versus urban location, age, driver or passenger, seat belt use, time of crash, and factors influencing the crash.
Author(s): Christine Peura, Joseph A. Kilch, David E. Clark
Citation: Accident Analysis & Prevention, 82, 257-262
Date: 09/2015
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Evaluates individual factors associated with severe injury and death after injury has occurred in rural motor vehicle crashes. Analyzes data from the National Highway Traffic Safety Administration and police-reported crashes in 11 states. Includes information on injury severity by rural versus urban location, age, driver or passenger, seat belt use, time of crash, and factors influencing the crash.
Author(s): Christine Peura, Joseph A. Kilch, David E. Clark
Citation: Accident Analysis & Prevention, 82, 257-262
Date: 09/2015
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Disparities in Patterns of Health Care Travel Among Inpatients Diagnosed With Congestive Heart Failure, Florida, 2011
Investigates the nonclinical factors that motivate patients with congestive heart failure (CHF) to travel greater distances to seek treatment rather than utilize their local hospital service area. Study was based on 2011 individual hospital discharge data and analyzes the odds of local hospitalization and various predictors of travel time including race, ethnicity, payer, severity of the condition, and rural/urban patient location.
Author(s): Peng Jia, Imam M. Xierali
Citation: Preventing Chronic Disease,12
Date: 09/2015
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Investigates the nonclinical factors that motivate patients with congestive heart failure (CHF) to travel greater distances to seek treatment rather than utilize their local hospital service area. Study was based on 2011 individual hospital discharge data and analyzes the odds of local hospitalization and various predictors of travel time including race, ethnicity, payer, severity of the condition, and rural/urban patient location.
Author(s): Peng Jia, Imam M. Xierali
Citation: Preventing Chronic Disease,12
Date: 09/2015
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