Rural Health
Resources by Topic: Statistics and data
Home Environment Factors Associated with Child BMI Changes During COVID-19 Pandemic
Examines the relationship between childhood obesity and home environments during the COVID-19 pandemic. Observes body mass index (BMI) records and Family Nutrition and Physical Activity (FNPA) screenings from a predominantly rural health system in Pennsylvania.
Author(s): Carolyn F. McCabe, G. Craig Wood, Gregory J. Welk, et al.
Citation: International Journal of Behavioral Nutrition and Physical Activity, 21, 84
Date: 08/2024
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Examines the relationship between childhood obesity and home environments during the COVID-19 pandemic. Observes body mass index (BMI) records and Family Nutrition and Physical Activity (FNPA) screenings from a predominantly rural health system in Pennsylvania.
Author(s): Carolyn F. McCabe, G. Craig Wood, Gregory J. Welk, et al.
Citation: International Journal of Behavioral Nutrition and Physical Activity, 21, 84
Date: 08/2024
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The Effect of Proximity to Grocery Stores and the Pandemic on Parents' and Youths' Perceptions of Eating Habits in Predominately African American Rural Communities
Surveyed 203 youth and parents to determine the impact of grocery store access on eating habits, health, and exercise habits in 3 rural communities. Compares results between parents with and without grocery store access as well as between parents and youth. Discusses the impact of COVID-19 on eating habits and exercise.
Author(s): Amanda Williams, Sharlene D. Newman
Citation: Frontiers in Nutrition, 11
Date: 08/2024
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Surveyed 203 youth and parents to determine the impact of grocery store access on eating habits, health, and exercise habits in 3 rural communities. Compares results between parents with and without grocery store access as well as between parents and youth. Discusses the impact of COVID-19 on eating habits and exercise.
Author(s): Amanda Williams, Sharlene D. Newman
Citation: Frontiers in Nutrition, 11
Date: 08/2024
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Sociodemographic Differences in Nonfinancial Access Barriers to Health Care Among Adults: United States, 2022
Examines nonfinancial reasons adults delay medical care, such as work or other time commitments, lack of available appointments, not having access to clinic or provider hours, difficulty finding provider match for insurance, and length of time to get to provider's office. Utilizes 2022 National Health Interview Survey to break down healthcare access barriers according to sex, age, race/ethnicity, family income, education, employment, insurance status, and urbanization level, including large central metropolitan, large fringe metropolitan, medium and small metropolitan, or nonmetropolitan.
Author(s): Amanda E. Ng, Dzifa Adjaye-Gbewonyo, James M. Dahlhamer
Date: 08/2024
Sponsoring organization: National Center for Health Statistics
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Examines nonfinancial reasons adults delay medical care, such as work or other time commitments, lack of available appointments, not having access to clinic or provider hours, difficulty finding provider match for insurance, and length of time to get to provider's office. Utilizes 2022 National Health Interview Survey to break down healthcare access barriers according to sex, age, race/ethnicity, family income, education, employment, insurance status, and urbanization level, including large central metropolitan, large fringe metropolitan, medium and small metropolitan, or nonmetropolitan.
Author(s): Amanda E. Ng, Dzifa Adjaye-Gbewonyo, James M. Dahlhamer
Date: 08/2024
Sponsoring organization: National Center for Health Statistics
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Effects of Affordable Care Act on Uninsured Hospitalization: Evidence from Texas
Examines the impact of the Affordable Care Act (ACA) in Texas and its relationship to uninsured patient discharges. Analyzes 2011-2019 ACA Marketplace data with breakdowns according to patient race/ethnicity, age, sex, major diagnostic categories (MDCs), type of admission, and rural versus urban location.
Author(s): Nima Khodakarami, Benjamin Ukert
Citation: Health Services Research, 59(4), e14334
Date: 08/2024
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Examines the impact of the Affordable Care Act (ACA) in Texas and its relationship to uninsured patient discharges. Analyzes 2011-2019 ACA Marketplace data with breakdowns according to patient race/ethnicity, age, sex, major diagnostic categories (MDCs), type of admission, and rural versus urban location.
Author(s): Nima Khodakarami, Benjamin Ukert
Citation: Health Services Research, 59(4), e14334
Date: 08/2024
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Performance of Health Care Service Area Definitions for Capturing Variation in Inpatient Care and Social Determinants of Health
Examines various health care service area (HCSA) definitions and their ability to capture hospitalizations and social determinants of health (SDOH) heterogeneity in the patient population. Provides descriptive characteristics for each HCSA type, such as median population and land size, as well as characteristics of the hospital sample. Discusses which HCSA type was best able to capture hospital discharges and population heterogenity in rural areas.
Author(s): Hannah Crook, Manuel Horta, Kenneth A. Michelson, John A. Graves
Citation: Health Services Research, 59(4)
Date: 08/2024
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Examines various health care service area (HCSA) definitions and their ability to capture hospitalizations and social determinants of health (SDOH) heterogeneity in the patient population. Provides descriptive characteristics for each HCSA type, such as median population and land size, as well as characteristics of the hospital sample. Discusses which HCSA type was best able to capture hospital discharges and population heterogenity in rural areas.
Author(s): Hannah Crook, Manuel Horta, Kenneth A. Michelson, John A. Graves
Citation: Health Services Research, 59(4)
Date: 08/2024
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Healthiest Communities 2024
Presents data and comparative rankings for urban and rural counties describing population health, health equity, education, housing, food and nutrition, and environment, among other indicators. Includes peer group rankings for rural high-performing and up-and-coming counties. Offers searchable county data at the bottom of the page by county name or ZIP code.
Date: 08/2024
Sponsoring organization: U.S. News & World Report
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Presents data and comparative rankings for urban and rural counties describing population health, health equity, education, housing, food and nutrition, and environment, among other indicators. Includes peer group rankings for rural high-performing and up-and-coming counties. Offers searchable county data at the bottom of the page by county name or ZIP code.
Date: 08/2024
Sponsoring organization: U.S. News & World Report
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Food Insecurity Among Seniors and Older Adults in 2022
Provides data on food insecurity in seniors (adults aged 60 and older) and older adults (adults aged 50-59). Includes demographic and socioeconomic data breakdowns related to food insecurity as well as metro versus nonmetro location.
Date: 07/2024
Sponsoring organization: Feeding America
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Provides data on food insecurity in seniors (adults aged 60 and older) and older adults (adults aged 50-59). Includes demographic and socioeconomic data breakdowns related to food insecurity as well as metro versus nonmetro location.
Date: 07/2024
Sponsoring organization: Feeding America
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Student Bullying
Provides information on students aged 12-18 who were bullied in school according to demographic information, type and frequency of bullying, impact on health and wellness, and school characteristics, including school locale of rural, town, suburban, or city.
Date: 07/2024
Sponsoring organization: National Center for Education Statistics
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Provides information on students aged 12-18 who were bullied in school according to demographic information, type and frequency of bullying, impact on health and wellness, and school characteristics, including school locale of rural, town, suburban, or city.
Date: 07/2024
Sponsoring organization: National Center for Education Statistics
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Clinical Outcomes of Rural Patients with Diabetes Treated by ECHO-Trained Providers Versus an Academic Medical Center
Evaluates the effectiveness of Project ECHO trained rural primary care provider team treating diabetes compared to specialists at an academic medical center by measuring cardiorenal risk factor changes. Discusses implications of study findings for rural populations with diabetes.
Author(s): Matthew F. Bouchonville, Larissa Myaskovsky, Yuridia L. Leyva, et al.
Citation: Journal of General Internal Medicine, 39, 298-2986
Date: 07/2024
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Evaluates the effectiveness of Project ECHO trained rural primary care provider team treating diabetes compared to specialists at an academic medical center by measuring cardiorenal risk factor changes. Discusses implications of study findings for rural populations with diabetes.
Author(s): Matthew F. Bouchonville, Larissa Myaskovsky, Yuridia L. Leyva, et al.
Citation: Journal of General Internal Medicine, 39, 298-2986
Date: 07/2024
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Factors Associated With Surveillance Testing in Individuals With COVID-19 Symptoms During the Last Leg of the Pandemic: Multivariable Regression Analysis
Examines demographic, clinical, and behavioral factors associated with COVID-19 testing in a predominantly rural, underserved population in West Virginia between May and November 2022. Utilizes Rapid Acceleration of Diagnostics for Underserved Populations program (RADx-UP2) survey data of 2103 individuals. Includes a geospatial analysis of associations between county-level community distress and likelihood of being symptomatic when presenting for testing.
Author(s): Timothy Dotson, Brad Price, Brian Witrick, et al.
Citation: JMIR Public Health and Surveillance, 2024(10), e52762
Date: 07/2024
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Examines demographic, clinical, and behavioral factors associated with COVID-19 testing in a predominantly rural, underserved population in West Virginia between May and November 2022. Utilizes Rapid Acceleration of Diagnostics for Underserved Populations program (RADx-UP2) survey data of 2103 individuals. Includes a geospatial analysis of associations between county-level community distress and likelihood of being symptomatic when presenting for testing.
Author(s): Timothy Dotson, Brad Price, Brian Witrick, et al.
Citation: JMIR Public Health and Surveillance, 2024(10), e52762
Date: 07/2024
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