Rural Health
Resources by Topic: Mental health conditions
Associations Between Screen Time Use and Health Outcomes Among US Teenagers
Examines screen use and its correlation to health outcomes in teenagers aged 12 to 17. Utilizes self-reported data from the 2021–2023 National Health Interview Survey-Teen (NHIS-Teen) to analyze physical activity, sleep, weight, and mental health, further broken down by respondent demographics, including metro versus nonmetro location.
Author(s): Benjamin Zablotsky, Amanda E. Ng, Lindsey I. Black, et al.
Citation: Preventing Chronic Disease, 22
Date: 07/2025
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Examines screen use and its correlation to health outcomes in teenagers aged 12 to 17. Utilizes self-reported data from the 2021–2023 National Health Interview Survey-Teen (NHIS-Teen) to analyze physical activity, sleep, weight, and mental health, further broken down by respondent demographics, including metro versus nonmetro location.
Author(s): Benjamin Zablotsky, Amanda E. Ng, Lindsey I. Black, et al.
Citation: Preventing Chronic Disease, 22
Date: 07/2025
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Illegally Made Fentanyl Use in the United States: 2022 and 2023
Report highlights findings from the 2022 and 2023 National Survey on Drug Use and Health (NSDUH) on the use of illegally made fentanyl across the U.S. Explores co-usage with other drugs, emergency room visits/hospitalizations, and breaks down user characteristics by age, poverty level, and rurality, among other measures.
Citation: NSDUH Data Brief, 2(2)
Date: 07/2025
Sponsoring organizations: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration
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Report highlights findings from the 2022 and 2023 National Survey on Drug Use and Health (NSDUH) on the use of illegally made fentanyl across the U.S. Explores co-usage with other drugs, emergency room visits/hospitalizations, and breaks down user characteristics by age, poverty level, and rurality, among other measures.
Citation: NSDUH Data Brief, 2(2)
Date: 07/2025
Sponsoring organizations: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration
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Assessing Older Adult Behavioral Health Diagnoses in Oregon by Geographical Area, Physical Disability Status, and Age
Analyzes rural and urban variations in behavioral health diagnoses among older adults in Oregon, utilizing 2017-2021 Oregon Older Adult Behavioral Health Initiative data drawn from 5,123 consultation reports. Compares rural and urban diagnosis rates and behavioral health diagnosis types, with further data breakdowns for select demographics.
Author(s): N.F. Parsons, Allyson Stodola, Ellis Hews, et al.
Citation: Aging & Mental Health, 30(1), 167-175
Date: 06/2025
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Analyzes rural and urban variations in behavioral health diagnoses among older adults in Oregon, utilizing 2017-2021 Oregon Older Adult Behavioral Health Initiative data drawn from 5,123 consultation reports. Compares rural and urban diagnosis rates and behavioral health diagnosis types, with further data breakdowns for select demographics.
Author(s): N.F. Parsons, Allyson Stodola, Ellis Hews, et al.
Citation: Aging & Mental Health, 30(1), 167-175
Date: 06/2025
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Effects of Using Different Rural Measurements on Estimates of Hospitalizations for Depression and Substance Use
Explores how using different rural measurements can affect estimates of hospitalization rates for behavioral health conditions. Highlights how Rural-Urban Commuting Areas (RUCA) codes, Core-Based Statistical Areas (CBSA), Urban-Rural Category 4 (URCategory4), and Rural-Urban Continuum Codes (RUCC) affect hospitalization estimates. Discusses the consequences these difference can have on policy.
Author(s): Robin Danek, Justin Blackburn, Marion Greene, et al.
Citation: BMC Health Services Research, 25, 818
Date: 06/2025
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Explores how using different rural measurements can affect estimates of hospitalization rates for behavioral health conditions. Highlights how Rural-Urban Commuting Areas (RUCA) codes, Core-Based Statistical Areas (CBSA), Urban-Rural Category 4 (URCategory4), and Rural-Urban Continuum Codes (RUCC) affect hospitalization estimates. Discusses the consequences these difference can have on policy.
Author(s): Robin Danek, Justin Blackburn, Marion Greene, et al.
Citation: BMC Health Services Research, 25, 818
Date: 06/2025
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Economic Factors Associated With County-Level Mental Health – United States, 2019
Explores the correlation between economic factors, such as household income, education, and supplemental income and nutritional support, and county-level mental health. Breaks down economic factors, such as employment, income and wealth, and expenses by rural and urban location.
Author(s): Michele L.F. Bolduc, Parya Saberi, Torsten B. Neilands, et al.
Citation: PLoS One, 20(6), e0300939
Date: 06/2025
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Explores the correlation between economic factors, such as household income, education, and supplemental income and nutritional support, and county-level mental health. Breaks down economic factors, such as employment, income and wealth, and expenses by rural and urban location.
Author(s): Michele L.F. Bolduc, Parya Saberi, Torsten B. Neilands, et al.
Citation: PLoS One, 20(6), e0300939
Date: 06/2025
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Care Packages to Promote Universal Suicide Prevention for Remote Alaska Native Communities: What Worked?
Presents a study on the efficacy of a suicide prevention intervention aimed at teens in remote Alaska Native communities. Details the distribution of mental health and safety promotion care packages sent to participants through the mail and highlights the results of a survey of participants on the perceived success of the intervention.
Author(s): Joshua Kennedy, Lisa Wexler, Tara Schmidt, et al.
Citation: Journal of Rural Health, 41(2), e70032
Date: 05/2025
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Presents a study on the efficacy of a suicide prevention intervention aimed at teens in remote Alaska Native communities. Details the distribution of mental health and safety promotion care packages sent to participants through the mail and highlights the results of a survey of participants on the perceived success of the intervention.
Author(s): Joshua Kennedy, Lisa Wexler, Tara Schmidt, et al.
Citation: Journal of Rural Health, 41(2), e70032
Date: 05/2025
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Prevalence and Predictors of Chronic Disease among Rural and Medically Underserved Populations Using Smokeless Tobacco
Examines chronic disease prevalence and associated risk factors among 532 smokeless tobacco (SLT) cessation intervention participants who live in rural and medically underserved communities. Includes data on chronic diseases including cancer, cardiovascular disease, diabetes, oral health, and more.
Author(s): Elaine Sang, Susan Silva, Sarah Grenon, et al.
Citation: Frontiers in Public Health, 13, 1565910
Date: 05/2025
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Examines chronic disease prevalence and associated risk factors among 532 smokeless tobacco (SLT) cessation intervention participants who live in rural and medically underserved communities. Includes data on chronic diseases including cancer, cardiovascular disease, diabetes, oral health, and more.
Author(s): Elaine Sang, Susan Silva, Sarah Grenon, et al.
Citation: Frontiers in Public Health, 13, 1565910
Date: 05/2025
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Rural and Urban Differences in Suicide in the United States, 2018-2021
Highlights the rates of suicide across the U.S. from 2018-2021 in rural and urban areas. Discusses some of the geographic and demographic characteristics that correlate with higher rates of suicide. Breaks down data by year, demographics, Census and HHS regions, and rural versus urban location. Makes policy recommendations based on the report's findings.
Author(s): Qian Huang, Nicole Galler, Michael Meit, Amy Wahlquist
Date: 05/2025
Sponsoring organization: ETSU/NORC Rural Health Research Center
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Highlights the rates of suicide across the U.S. from 2018-2021 in rural and urban areas. Discusses some of the geographic and demographic characteristics that correlate with higher rates of suicide. Breaks down data by year, demographics, Census and HHS regions, and rural versus urban location. Makes policy recommendations based on the report's findings.
Author(s): Qian Huang, Nicole Galler, Michael Meit, Amy Wahlquist
Date: 05/2025
Sponsoring organization: ETSU/NORC Rural Health Research Center
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Rural–Urban Disparities in Cancer Care—Analyzing Routinely Collected Patient‐Reported Outcomes. A Cross‐Sectional Study
Compares rural and urban patient-reported outcomes related to anxiety, depression, fatigue, pain interference, and physical function among 7,271 cancer patients who received treatment at the Huntsman Cancer Institute between 2016 and 2019. Includes data breakdowns by rural or urban status, including comparisons by specific cancer types.
Author(s): Dominik J. Ose, Bayarmaa Mark, Krista Ocier, et al.
Citation: Cancer Medicine, 14(8), e70437
Date: 04/2025
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Compares rural and urban patient-reported outcomes related to anxiety, depression, fatigue, pain interference, and physical function among 7,271 cancer patients who received treatment at the Huntsman Cancer Institute between 2016 and 2019. Includes data breakdowns by rural or urban status, including comparisons by specific cancer types.
Author(s): Dominik J. Ose, Bayarmaa Mark, Krista Ocier, et al.
Citation: Cancer Medicine, 14(8), e70437
Date: 04/2025
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Chronic Disease Prevalence among New Mexican Adults: Results from the 2023 New Mexico Behavioral Risk Factor Surveillance System
Reports on chronic health conditions in New Mexico using New Mexico Behavioral Risk Factor Survey (NM BRFSS) data. Covers conditions including arthritis, respiratory diseases, cancer, cardiovascular disease, obesity, depression, and more. Provides data breakdowns for each condition by level of rurality and other demographics.
Date: 04/2025
Sponsoring organization: New Mexico Department of Health
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Reports on chronic health conditions in New Mexico using New Mexico Behavioral Risk Factor Survey (NM BRFSS) data. Covers conditions including arthritis, respiratory diseases, cancer, cardiovascular disease, obesity, depression, and more. Provides data breakdowns for each condition by level of rurality and other demographics.
Date: 04/2025
Sponsoring organization: New Mexico Department of Health
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