Rural Health
Resources by Topic: Rural-urban differences
Cumulative Environmental Quality Is Associated with Breast Cancer Incidence Differentially by Summary Stage and Urbanicity
Identifies associations between environmental factors and breast cancer stages in North Carolina using the Environmental Quality Index (EQI). EQI factors include air, water, land, sociodemographic, and built environments. Includes analysis of urbanicity, race, screenings, and tobacco use.
Author(s): Larisa M. Gearhart-Serna, Brittany A. Mills, Hillary Hsu, et al.
Citation: Scientific Reports, 13, 20301
Date: 11/2023
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Identifies associations between environmental factors and breast cancer stages in North Carolina using the Environmental Quality Index (EQI). EQI factors include air, water, land, sociodemographic, and built environments. Includes analysis of urbanicity, race, screenings, and tobacco use.
Author(s): Larisa M. Gearhart-Serna, Brittany A. Mills, Hillary Hsu, et al.
Citation: Scientific Reports, 13, 20301
Date: 11/2023
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Why Do Older, White, Rural Residents Have Slower Broadband Speeds?
Evaluates the role of age and rurality in slower broadband speeds for older, white, rural residents. Discusses the concept of a reverse digital divide.
Author(s): Robert Gallardo
Citation: The Daily Yonder
Date: 11/2023
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Evaluates the role of age and rurality in slower broadband speeds for older, white, rural residents. Discusses the concept of a reverse digital divide.
Author(s): Robert Gallardo
Citation: The Daily Yonder
Date: 11/2023
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Cross-Sectional Population-Based Estimates of a Rural-Urban Disparity in Prevalence of Long COVID Among Michigan Adults With Polymerase Chain Reaction-Confirmed COVID-19, 2020–2022
Explores the potential correlation between rurality and experiencing long COVID. Uses the Michigan COVID-19 Recovery Surveillance Study to compare COVID recovery times in rural and urban areas. Breaks down data by age, socioeconomic status, and access to healthcare, among other measures.
Author(s): Colleen L. MacCallum-Bridges, Jana L. Hirschtick, Kristi L. Allgood, et al.
Citation: Journal of Rural Health, 40(2), 303-313
Date: 11/2023
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Explores the potential correlation between rurality and experiencing long COVID. Uses the Michigan COVID-19 Recovery Surveillance Study to compare COVID recovery times in rural and urban areas. Breaks down data by age, socioeconomic status, and access to healthcare, among other measures.
Author(s): Colleen L. MacCallum-Bridges, Jana L. Hirschtick, Kristi L. Allgood, et al.
Citation: Journal of Rural Health, 40(2), 303-313
Date: 11/2023
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U.S. Employment in Metro and Nonmetro Areas, 2007–22
Line chart showing U.S. employment in metro and nonmetro areas from 2007 through 2022, as a percent of 2007 employment.
Date: 11/2023
Sponsoring organization: USDA Economic Research Service
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Line chart showing U.S. employment in metro and nonmetro areas from 2007 through 2022, as a percent of 2007 employment.
Date: 11/2023
Sponsoring organization: USDA Economic Research Service
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U.S. Labor Force Participation Rates in Metro and Nonmetro Areas by Age Groups, 2007 and 2019–22
Bar chart showing metro and nonmetro labor force participation in 2007, 2019, 2020, 2021, and 2022 by age group for those aged 16-24, 25-64, and 65 and older.
Date: 11/2023
Sponsoring organization: USDA Economic Research Service
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Bar chart showing metro and nonmetro labor force participation in 2007, 2019, 2020, 2021, and 2022 by age group for those aged 16-24, 25-64, and 65 and older.
Date: 11/2023
Sponsoring organization: USDA Economic Research Service
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U.S. Unemployment Rates for the Prime-Working-Age Population (Ages 25 to 54) in Metro and Nonmetro Areas by Race/Ethnicity, 2007 and 2019–22
Bar chart showing metro and nonmetro unemployment rates in 2007, 2019, 2020, 2021, and 2022 for the following populations aged 25-54: White, Black or African American, and Hispanic or Latino.
Date: 11/2023
Sponsoring organization: USDA Economic Research Service
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Bar chart showing metro and nonmetro unemployment rates in 2007, 2019, 2020, 2021, and 2022 for the following populations aged 25-54: White, Black or African American, and Hispanic or Latino.
Date: 11/2023
Sponsoring organization: USDA Economic Research Service
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Food Insecurity in the Appalachian Region
Reports on food insecurity in Appalachia, comparing regional and national trends and identifying contributing factors. Discusses the impacts of food insecurity on health, and profiles initiatives contributing to food security. Appendix C provides tables comparing data, with breakdowns by level of rurality, on topics including childhood food insecurity, households receiving SNAP benefits, low food access, low income population, and more.
Date: 11/2023
Sponsoring organization: Appalachian Regional Commission
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Reports on food insecurity in Appalachia, comparing regional and national trends and identifying contributing factors. Discusses the impacts of food insecurity on health, and profiles initiatives contributing to food security. Appendix C provides tables comparing data, with breakdowns by level of rurality, on topics including childhood food insecurity, households receiving SNAP benefits, low food access, low income population, and more.
Date: 11/2023
Sponsoring organization: Appalachian Regional Commission
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Engaging Students in Advancing Campus Tobacco-Free Policies: A Qualitative Study of California Community Colleges' Efforts
Examines student engagement with tobacco-free campus policies in California community colleges. Analyzes 33 semi-structured interviews from stakeholders across 12 community colleges with a focus on themes such as engaging students, ways students are involved in tobacco-free policies, and the benefits of student engagement, according to rural versus urban campus location.
Author(s): Setareh Harsamizadeh Tehrani, Sang Leng Trieu, Lien Dao, Carissa Samuel, Camillia K. Lui
Citation: Preventing Chronic Disease, 20
Date: 11/2023
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Examines student engagement with tobacco-free campus policies in California community colleges. Analyzes 33 semi-structured interviews from stakeholders across 12 community colleges with a focus on themes such as engaging students, ways students are involved in tobacco-free policies, and the benefits of student engagement, according to rural versus urban campus location.
Author(s): Setareh Harsamizadeh Tehrani, Sang Leng Trieu, Lien Dao, Carissa Samuel, Camillia K. Lui
Citation: Preventing Chronic Disease, 20
Date: 11/2023
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Impact of Geography and Rurality on Preconception Health Status in the United States
Examines preconception health risk and disparities in women aged 18 to 44 years according to health factors, health behaviors, and sociodemographics. Utilizes 2019 Behavioral Risk Factor Surveillance System (BRFSS) data to assess for preconception health risk with results broken down by race, age, education, insurance status, income, rural versus urban, and regional location.
Author(s): Madison D. Haiman, Catherine Cubbin
Citation: Preventing Chronic Disease, 20
Date: 11/2023
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Examines preconception health risk and disparities in women aged 18 to 44 years according to health factors, health behaviors, and sociodemographics. Utilizes 2019 Behavioral Risk Factor Surveillance System (BRFSS) data to assess for preconception health risk with results broken down by race, age, education, insurance status, income, rural versus urban, and regional location.
Author(s): Madison D. Haiman, Catherine Cubbin
Citation: Preventing Chronic Disease, 20
Date: 11/2023
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Recent Demographic Trends Have Implications for Rural Health Care
Data snapshot describing national nonmetropolitan population change, natural population change, and net migration between 2010-2020 and 2020-2022. Discusses the importance of monitoring demographic trends in order to inform planning for medical facilities, staffing, and access to specialized care.
Author(s): Kenneth Johnson
Date: 11/2023
Sponsoring organization: Carsey School of Public Policy
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Data snapshot describing national nonmetropolitan population change, natural population change, and net migration between 2010-2020 and 2020-2022. Discusses the importance of monitoring demographic trends in order to inform planning for medical facilities, staffing, and access to specialized care.
Author(s): Kenneth Johnson
Date: 11/2023
Sponsoring organization: Carsey School of Public Policy
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