Health insurance coverage and experiences of intimate partner violence and postpartum abuse screening among rural US residents who gave birth 2016-2020.

PURPOSE: Intimate partner violence (IPV) is elevated among rural residents and contributes to maternal morbidity and mortality. Postpartum health insurance expansion efforts could address multiple causes of maternal morbidity and mortality, including IPV. The objective of this study was to describe the relationship between perinatal health insurance, IPV, and postpartum abuse screening among rural US residents. METHODS: Using 2016-2020 data on rural residents from the Pregnancy Risk Assessment Monitoring System, we assessed self-report of experiencing physical violence by an intimate partner and rates of abuse screening at postpartum visits. Health insurance at childbirth and postpartum was categorized as private, Medicaid, or uninsured. We also measured insurance transitions from childbirth to postpartum (continuous private, continuous Medicaid, Medicaid to private, and Medicaid to uninsured). FINDINGS: IPV rates varied by health insurance status at childbirth, with the highest rates among Medicaid beneficiaries (7.7%), compared to those who were uninsured (1.6%) or privately insured (1.6%). When measured by insurance transitions, the highest IPV rates were reported by those with continuous Medicaid coverage (8.6%), followed by those who transitioned from Medicaid at childbirth to private insurance (5.3%) or no insurance (5.9%) postpartum. Nearly half (48.1%) of rural residents lacked postpartum abuse screening, with the highest proportion among rural residents who were uninsured at childbirth (66.1%) or postpartum (52.1%). CONCLUSION: Rural residents who are insured by Medicaid before or after childbirth are at elevated risk for IPV. Medicaid policy efforts to improve maternal health should focus on improving detection and screening for IPV among rural residents.

What happens to rural hospitals during a ransomware attack? Evidence from Medicare data.

PURPOSE: Hospitals are increasingly the target of cybersecurity threats, including ransomware attacks. Little is known about how ransomware attacks affect care at rural hospitals. METHODS: We used data on hospital ransomware attacks from the Tracking Healthcare Ransomware Events and Traits database, linked to American Hospital Association survey data and Medicare fee-for-service (FFS) claims data from 2016 to 2021. We measured Medicare FFS volume and revenue in the inpatient, outpatient, and emergency room setting-at the hospital-week level. We then conducted a stacked event study analysis, comparing hospital volume and revenue at ransomware-attacked and nonattacked hospitals before and after attacks. FINDINGS: Ransomware attacks severely disrupted hospital operations-with comparable effects observed at rural versus urban hospitals. During the first week of the attack, inpatient admissions volume fell by 14.7% at rural hospitals (P = .04) and 16.9% at urban hospitals (P = .01)-recovering to preattack levels within 2-3 weeks. Outpatient visits fell by 35.3% at rural hospitals (P<.01) and 22.0% at urban hospitals (P = .03) during the first week. Emergency room visits fell by 10.0% at rural hospitals (P = .04) and 19.3% at urban hospitals (P = .01). Travel time and distance to the closest nonattacked hospital was 4-7 times greater for rural ransomware-attacked hospitals than for urban ransomware-attacked hospitals. CONCLUSIONS: Ransomware attacks disrupted hospital operations in rural and urban areas. Disruptions of similar magnitudes may be more detrimental in rural areas, given the greater distances patients must travel to receive care and the outsized impact that lost revenue may have on rural hospital finances.

Rural-urban differences in meeting of physical activity recommendations by sun exposure and protection behaviors in the United States.

OBJECTIVE: To examine associations between sun protection behaviors and physical activity (PA) by rural and urban residence in the United States. METHODS: We analyzed data from the National Health and Nutrition Examination Survey (2013-2018), restricting to participants ages 20-59 with sun behavior data. Sunburns, sun exposure, and sun protection measures were dichotomized (yes/no): ≥1 sunburn in the past year, 2+ hour outside during workdays or non-workdays, and never/rarely/sometimes using sunscreen, wearing long sleeves, and staying in the shade. Meeting PA recommendations (yes/no) was defined as ≥150 min of vigorous/moderate or ≥ 75 min vigorous PA per week. Associations between sun behaviors and PA were analyzed using logistic regression models, which accounted for survey-weights and potential confounders, and stratified by rural-urban status. RESULTS: Rural and urban individuals meeting PA recommendations had greater odds of spending 2+ hour outside during workdays (OR: 2.26 [1.88, 2.74] and 3.95 [2.72, 5.73]) and non-workdays (OR: 2.06 [1.78, 2.38] and 3.33 [2.47, 4.46]). Among urban residents, odds of staying in the shade were lower among those who met PA recommendations (OR: 0.78 [0.66, 0.92]). We did not observe differences in sunburns or other sun behaviors by PA status, regardless of rurality. CONCLUSIONS: Meeting PA recommendations was associated with greater sun exposure in both rural and urban populations. Additional exercise location (indoors/outside) data is needed to inform PA and skin cancer prevention interventions to reduce unintended increases in sun exposure and reductions in PA, respectively, especially among rural populations.

Rural-Urban Differences in Sun Exposure and Protection Behaviors in the United States.

BACKGROUND: Evidence regarding whether rural residence is a risk factor for skin cancer is mixed. We compared sun exposure and protection behaviors between rural and urban residents by ethno-racial group in the United States. METHODS: We analyzed data from three (2013-2018) National Health and Nutrition Examination Survey cycles. We compared self-reported sun exposure and protection measures (sunburn, time spent outside, sunscreen use, wearing long sleeves, staying in shade) by rural-urban residential status using survey-weighted logistic regression models stratified by ethno-racial group, adjusting for age, sex, income, education, body mass index, and smoking. RESULTS: Hispanic rural versus urban residents more often reported sunburns in the past year [41.6% vs. 31.2%, adjusted OR (aOR): 1.46 (1.15-1.86)]. White rural versus urban residents more often spent 2+ hours outside on workdays [42.9% vs. 29.1%, aOR: 1.60 (1.27-2.01)] and non-workdays [72.2% vs. 64.8%, aOR: 1.45 (1.12-1.88)] and less often used sunscreen [26.0% vs. 35.1%, aOR: 0.74 (0.59-0.93)] and stayed in the shade [21.7% vs. 26.7%, aOR: 0.72 (0.57-0.89)]. Black rural versus urban residents stayed in the shade less often [31.6% vs. 43.9%, aOR: 0.60 (0.39-0.91)] but less often spent 2+ hours outside on non-workdays [47.6% vs. 56.8%, aOR: 0.67 (0.51-0.90)]. CONCLUSIONS: Across all ethno-racial groups included, rural residents reported greater sun risk behaviors than urban residents, with some nuances by ethno-racial identity, suggesting rural residence is a potential risk factor for skin cancer. IMPACT: Sun protection promotion programs should consider rural-urban settings while also accounting for ethno-racial identities.

Scoping Literature Review: Experiences of Sexual and Gender Minority Older Adults, With Diagnoses of Dementia, Who Use Residential Long-Term Services and Supports.

The number of sexual and gender minority (SGM) older adults utilizing residential long-term supports and services (LTSS) will increase in the forthcoming decades. Paradoxically, while requiring more LTSS services than their non-SGM counterparts, SGM older adults are less likely to access these services, partly due to fears of discrimination. Furthermore, SGM older adults living with Alzheimer's disease and related dementias (AD/ADRD) present unique challenges and opportunities for LTSS facilities. This article provides a scoping review on the intersection between experiences of SGM older adults with AD/ADRD who use residential LTSS. This review identified three themes: (1) the experiences of discrimination among SGM residents in LTSS facilities, (2) the need for comprehensive staff training in residential LTSS to ensure proper care of SGM populations, and (3) the crucial role of inclusive facility policies. As the number of SGM older adults is expected to increase, further research is necessary.

Access to Health Care for Transgender and Gender-Diverse Adults in Urban and Rural Areas in the United States.

The objective of this study is to examine access to care based on gender identity in urban and rural areas, focusing on transgender and gender diverse (TGD) populations. Data on TGD (n = 1,678) and cisgender adults (n = 403,414) from the 2019 to 2020 Behavioral Risk Factor Surveillance System were used. Outcome measures were four barriers to care. We conducted bivariate and multivariable logistic regressions to assess associations between access, rurality, and gender identity. Bivariate results show that TGD adults were significantly more likely to experience three barriers to care. In multivariable models, TGD adults were more likely to delay care due to cost in the full sample (adjusted odds ratio [AOR]: 2.00, p < .001), rural subsample (AOR: 2.14, p < .01), and urban subsample (AOR: 1.97, p < .01). This study revealed greater barriers to care for TGD adults, with the most frequent barriers found among rural TGD adults. Increased provider awareness and structural policy changes are needed to achieve health equity for rural TGD populations.

Rural/urban differences in rates and predictors of intimate partner violence and abuse screening among pregnant and postpartum United States residents.

OBJECTIVE: To describe rates and predictors of perinatal intimate partner violence (IPV) and rates and predictors of not being screened for abuse among rural and urban IPV victims who gave birth. DATA SOURCES AND STUDY SETTING: This analysis utilized 2016-2020 Pregnancy Risk Assessment Monitoring System (PRAMS) data from 45 states and three jurisdictions. STUDY DESIGN: This is a retrospective, cross-sectional study using multistate survey data. DATA COLLECTION/EXTRACTION METHODS: This analysis included 201,413 survey respondents who gave birth in 2016-2020 (n = 42,193 rural and 159,220 urban respondents). We used survey-weighted multivariable logistic regression models, stratified by rural/urban residence, to estimate adjusted predicted probabilities and 95% confidence intervals (CIs) for two outcomes: (1) self-reported experiences of IPV (physical violence by a current or former intimate partner) and (2) not receiving abuse screening at health care visits before, during, or after pregnancy. PRINCIPAL FINDINGS: Rural residents had a higher prevalence of perinatal IPV (4.6%) than urban residents (3.2%). Rural respondents who were Medicaid beneficiaries, 18-35 years old, non-Hispanic white, Hispanic (English-speaking), or American Indian/Alaska Native had significantly higher predicted probabilities of experiencing perinatal IPV compared with their urban counterparts. Among respondents who experienced perinatal IPV, predicted probabilities of not receiving abuse screening were 21.3% for rural and 16.5% for urban residents. Predicted probabilities of not being screened for abuse were elevated for rural IPV victims who were Medicaid beneficiaries, 18-24 years old, or unmarried, compared to urban IPV victims with those same characteristics. CONCLUSIONS: IPV is more common among rural birthing people, and rural IPV victims are at higher risk of not being screened for abuse compared with their urban peers. IPV prevention and support interventions are needed in rural communities and should focus on universal abuse screening during health care visits and targeted support for those at greatest risk of perinatal IPV.

Rural/urban differences in receipt of governmental rental assistance: Relationship to health and disability.

PURPOSE: Housing is essential to health. Governmental rental assistance is one way to increase access to affordable housing, but little is known about how it varies by rural/urban location. This paper seeks to address that gap by examining rural/urban and within-rural differences in receipt of rental assistance, with particular attention differences by health and disability. METHODS: We used data from the 2021 National Health Interview Survey (n = 28,254) to conduct bivariate analyses to identify significant differences in receipt of rental assistance by rural/urban location. We then conducted logistic regression analyses to generate odds ratios of receiving rental assistance, adjusting for self-rated health, disability, sociodemographic characteristics, and the US Census region. FINDINGS: When limiting the sample to those who rent (20.6% of rural residents and 29.6% of urban residents), rural residents were nearly 5 percentage points more likely to receive rental assistance (13.1% vs 8.2%, P<.001). Rural recipients of rental assistance were more likely to have a disability than urban residents (27.9% vs 20.3%, P<.05) and were more likely to report fair/poor health (41.6% vs 31.4%, P<.05). CONCLUSIONS: Rural residents are less likely to rent their homes, but, among those who rent, they are more likely to receive governmental rental assistance. This may be reflective of the greater need for rental assistance among rural residents, who were in poorer health and of lower socioeconomic status than urban renters. As housing is essential to good health, policy attention must prioritize addressing a persistent and growing need for affordable housing in rural and urban areas alike.

Guideline-discordant inhaler regimens after COPD hospitalization: associations with rurality, drive time to care, and fragmented care - a United States cohort study.

Background: Many patients receive guideline-discordant inhaler regimens after chronic obstructive pulmonary disease (COPD) hospitalization. Geography and fragmented care across multiple providers likely influence prescription of guideline-discordant inhaler regimens, but these have not been comprehensively studied. We assessed patient-level differences in guideline-discordant inhaler regimens by rurality, drive time to pulmonary specialty care, and fragmented care. Methods: Retrospective cohort analysis using national Veterans Health Administration (VA) data among patients who received primary care and prescriptions from the VA. Patients hospitalized for COPD exacerbation between 2017 and 2020 were assessed for guideline-discordant inhaler regimens in the subsequent 3 months. Guideline-discordant inhaler regimens were defined as short-acting inhaler/s only, inhaled corticosteroid (ICS) monotherapy, long-acting beta-agonist (LABA) monotherapy, ICS + LABA, long-acting muscarinic antagonist (LAMA) monotherapy, or LAMA + ICS. Rural residence and drive time to the closest pulmonary specialty care were obtained from geocoded addresses. Fragmented care was defined as hospitalization outside the VA. We used multivariable logistic regression models to assess associations between rurality, drive time, fragmentated care, and guideline-discordant inhaler regimens. Models were adjusted for age, sex, race/ethnicity, Charlson Comorbidity Index, Area Deprivation Index, and region. Findings: Of 33,785 patients, 16,398 (48.6%) received guideline-discordant inhaler regimens 3 months after hospitalization. Rural residents had higher odds of guideline-discordant inhalers regimens compared to their urban counterparts (adjusted odds ratio [aOR] 1.18 [95% CI: 1.12-1.23]). The odds of receiving guideline-discordant inhaler regimens increased with longer drive time to pulmonary specialty care (aOR 1.38 [95% CI: 1.30-1.46] for drive time >90 min compared to <30 min). Fragmented care was also associated with higher odds of guideline-discordant inhaler regimens (aOR 1.56 [95% CI: 1.48-1.63]). Interpretation: Rurality, long drive time to care, and fragmented care were associated with greater prescription of guideline-discordant inhaler regimens after COPD hospitalization. These findings highlight the need to understand challenges in delivering evidence-based care. Funding: NIHNCATS grants KL2TR002492 and UL1TR002494.

Racial Arrest Disparities in the USA by Rural-Urban Location and Region.

BACKGROUND: Urban racial arrest disparities are well known. Emerging evidence suggests that rural policing shares similar patterns as urban policing in the USA, but without receiving the same public scrutiny, raising the risk of biased rural policing going unnoticed. METHODS: We estimated adult and adolescent arrest rates and rate ratios (RR) by race, rural-urban status, and US region based on 2016 Uniform Crime Reporting Program arrest and US Census population counts using general estimating equation Poisson regression models with a 4-way interaction between race, region, age group, and urbanicity. RESULTS: With few exceptions, arrest rates were highest in small towns and rural areas, especially among Black and American Indian populations. Arrest rates differed between US regions with highest rates and racial disparities in the Midwest. For example, arrest rates among Black adults in the rural Midwest were 148.6 arrests [per 1000 population], 95% CI 131.4-168.0, versus 94.4 arrests, 95% CI 77.2-115.4 in the urban Midwest; and versus corresponding rural Midwest arrests among white adults, 32.7 arrests, 95% CI 30.8-34.8, Black versus white rural RR 4.54, 95% CI 4.09-5.04. Racial arrest disparities in the South were lower but still high, e.g., rural South, Black versus White adults, RR 1.86, 95% CI 1.71-2.03. CONCLUSIONS: Rural areas and small towns are potential hotspots of racial arrest disparities across the USA, especially in the Midwest. Approaches to overcoming structural racism in policing must include strategies targeted at rural/small town communities. Our findings underscore the importance of dismantling racist policing in all US communities.

"Going Back in the Closet": Addressing Discrimination Against Sexual and Gender Minority Residents in Long-Term Services and Supports by Providing Culturally Responsive Care.

Sexual and gender minority (SGM) older adults face discrimination in long-term services and supports (LTSS). Yet, SGM older adults use LTSS disproportionately higher relative to their non-SGM counterparts. The discrimination is compounded by existing disparities, resulting in worse health outcomes and well-being for SGM older adults. Guided by socioecological model, we posit that training LTSS staff in SGM responsive care and implementing SGM anti-discrimination policies will be needed to improve care. Considering accessibility and turnover challenges, training should be online, interactive, and easily accessible. Studies that assess interventions for SGM responsive care are needed to guide policy and practice.

Factors Associated With Health Care Professionals' Choice to Practice in Rural Minnesota.

Importance: Rural health inequities are due in part to a shortage of health care professionals in these areas. Objective: To determine the factors associated with health care professionals' decisions about where to practice. Design, Setting, and Participants: This prospective, cross-sectional survey study of health care professionals in Minnesota was administered by the Minnesota Department of Health from October 18, 2021, to July 25, 2022. Advanced practice registered nurses (APRNs), physicians, physician assistants (PAs), and registered nurses (RNs) renewing their professional licenses were eligible. Exposures: Individuals' ratings on survey items related to their choice of practice location. Main Outcomes and Measures: Rural or urban practice location as defined by the US Department of Agriculture's Rural-Urban Commuting Area typology. Results: A total of 32 086 respondents were included in the analysis (mean [SD] age, 44.4 [12.2] years; 22 728 identified as female [70.8%]). Response rates were 60.2% for APRNs (n = 2174), 97.7% for PAs (n = 2210), 95.1% for physicians (n = 11 019), and 61.6% for RNs (n = 16 663). The mean (SD) age of APRNs was 45.0 (10.3) years (1833 [84.3%] female); PAs, 39.0 (9.4) years (1648 [74.6%] female); physicians, 48.0 (11.9) years (4455 [40.4%] female); and RNs, 42.6 (12.3) years (14 792 [88.8%] female). Most respondents worked in urban (29 456 [91.8%]) vs rural (2630 [8.2%]) areas. Bivariate analysis suggested that family considerations are the most important determinant of practice location. Multivariate analysis revealed that having grown up in a rural area was the strongest factor associated with rural practice (odds ratio [OR] for APRNs, 3.44 [95% CI, 2.68-4.42]; OR for PAs, 3.75 [95% CI, 2.81-5.00]; OR for physicians, 2.44 [95% CI, 2.18-2.73]; OR for RNs, 3.77 [95% CI, 3.44-4.15]). When controlling for rural background, other associated factors included the availability of loan forgiveness (OR for APRNs, 1.42 [95% CI, 1.19-1.69]; OR for PAs, 1.60 [95% CI, 1.31-1.94]; OR for physicians, 1.54 [95% CI, 1.38-1.71]; OR for RNs, 1.20 [95% CI, 1.12-1.28]) and an educational program that prepared for rural practice (OR for APRNs, 1.44 [95% CI, 1.18-1.76]; OR for PAs. 1.70 [95% CI, 1.34-2.15]; OR for physicians, 1.31 [95% CI, 1.17-1.47]; OR for RNs, 1.23 [95% CI, 1.15-1.31]). Autonomy in one's work (OR for APRNs, 1.42 [95% CI, 1.08-1.86]; OR for PAs, 1.18 [95% CI, 0.89-1.58]; OR for physicians, 1.53 [95% CI, 1.31-1.78]; OR for RNs, 1.16 [95% CI, 1.07-1.25]) and a broad scope of practice (OR for APRNs, 1.46 [95% CI, 1.15-1.86]; OR for PAs, 0.96 [95% CI, 0.74-1.24]; OR for physicians, 1.62 [95% CI, 1.40-1.87]; OR for RNs, 0.96 [95% CI, 0.89-1.03]) were important factors associated with rural practice. Lifestyle and area considerations were not associated with rural practice; family considerations were associated with rural practice for RNs only (OR for APRNs, 0.97 [95% CI, 0.90-1.06]; OR for PAs, 0.95 [95% CI, 0.87-1.04]; OR for physicians, 0.92 [95% CI, 0.88-0.96]; OR for RNs, 1.05 [95% CI, 1.02-1.07]). Conclusions and Relevance: Understanding the interconnected factors involved in rural practice requires modeling relevant factors. The findings of this survey study suggest that loan forgiveness, rural training, autonomy, and a broad scope of practice are factors associated with rural practice for most health care professionals. Other factors associated with rural practice vary by profession, suggesting that there may not be a one-size-fits-all approach to recruitment of rural health care professionals.

Who Will Care for Rural Older Adults? Measuring the Direct Care Workforce in Rural Areas.

Using the 2021 Occupational Employment and Wage Statistics (OEWS) dataset, we calculate the ratio of direct care workers relative to the population of older adults (ages 65+) across rural and urban areas in the US. We find that there are, on average, 32.9 home health aides per 1000 older adults (age 65+) in rural areas and 50.4 home health aides per 1000 older adults in urban areas. There are, on average, 20.9 nursing assistants per 1000 older adults in rural areas and 25.3 nursing assistants per 1000 older adults in urban areas. There is substantial regional variation. Greater investment needs to be made in improving wages and job quality for direct care workers to attract workers to these critical occupations, especially in rural areas where the need for direct care is greater.

Unmet Needs for Help With Mobility Limitations Among Older Adults Aging in Place: The Role of Rurality.

OBJECTIVES: This study identifies differences in unmet mobility needs among older adults living in rural versus urban areas. METHODS: We used data from Round 9 of the National Health and Aging Trends Study (NHATS), limiting our analyses to respondents who had not moved since baseline (average housing tenure of 27 years; n = 3343). We conducted bivariate and multivariate analyses to detect rural/urban differences in unmet mobility needs, adjusting for socio-demographics, health status, and housing characteristics. RESULTS: Rural residence was associated with higher odds of any unmet mobility needs for older adults aging in place (adjusted odds ratio: 1.64, 95% confidence interval: 1.10-2.44, p < .05). The relationship between rurality and unmet needs for help with mobility limitations remained significant in fully adjusted models. DISCUSSION: Rural older adults aging in place have greater unmet needs for help with mobility limitations. This study highlights several important gaps in supporting rural older adults aging in place.

Rural/urban differences in access to paid sick leave among full-time workers.

PURPOSE: Access to paid sick leave is critically important to promoting good health, caregiving, and stopping the spread of disease. In this study, we estimate whether access to paid sick leave among US full-time workers differs between rural and urban residents. METHODS: We used data from the 2020 National Health Interview Survey and included adult respondents between the ages of 18 and 64 who were employed full-time (n = 12,086). We estimated bivariate differences in access to paid sick leave by rural/urban residence, and then calculated the predicted probability of access to paid sick leave, adjusting for sociodemographic and health characteristics, across different education levels. FINDINGS: We find a nearly 10-percentage point difference in access to paid sick leave between rural and urban adults (68.1% vs 77.1%, P<.001). The difference in access to paid sick leave between rural and urban residents remained significant even after adjusting for sociodemographic and health characteristics. The fully adjusted predicted probability of paid sick leave for rural full-time workers was 69.8%, compared with 76.4% for urban full-time workers (P<.001). We also identified lower levels of paid leave for rural (vs urban) workers within each educational category. CONCLUSIONS: Full-time workers in rural areas have less access to paid sick leave than full-time workers in urban areas. Without access to paid sick leave, rural and urban residents may go to work while contagious or forego necessary health care. Left to individual employers or localities, rural inequities in access to paid sick leave will likely persist.

Rural health disparities in health care utilization for dementia in Minnesota.

PURPOSE: We visualized rural-urban differences in inpatient hospitalization and emergency department (ED) health care utilization (HCU) for older adults with dementia to understand the HCU of rural versus urban older adults in Minnesota and to examine in greater detail the variability of HCU in rural areas. METHODS: For 3 older adult age groups, we utilized Healthcare Cost and Utilization Project (H-CUP) datasets from 2016 to 2018 to profile hospital admission rates, and ED visit rates related to dementia stratified by rurality and regions. Rates were visualized by spatial interpolation method. We then used logistic regression analysis adjusted by multiple covariates to evaluate rural-urban differences of the chance of having a dementia diagnosis in HCU. FINDINGS: Minnesota rural areas showed 17.6% lower age-adjusted rate (AAR) of dementia mortality than urban areas. AARs of ED visits for dementia were 12.4% higher in rural ZIP codes, whereas AARs of hospitalization were 24.7% lower. After controlling for neighborhood-level risk factors, such as income, education, health behaviors, and provider access, the odds ratios of having dementia diagnosis are 12% lower if an ED visit patient lives in rural as opposed to an urban area (OR = 0.88, P<.0001). CONCLUSIONS: In comparison to AAR, the fully adjusted data showed larger rural-urban predictors of having dementia diagnoses in hospitalizations and ED utilizations and demonstrated differences between AAR of ED visit and odds ratios of having dementia diagnosis. A regional comparison revealed that dementia ED visits were higher for Northeast MN compared to Minnesota's largest metropolitan region.

Rural/urban differences in mental health and social well-being among older US adults in the early months of the COVID-19 pandemic.

OBJECTIVES: This study seeks to identify differences in mental health and social well-being during the early months of the COVID-19 pandemic among older adults by rural/urban location. METHODS: We use data from the COVID-19 Coping Study, a nation-wide online study of U.S. adults aged 55 and older (n = 6,873) fielded during April-May, 2020. We investigated rural/urban differences in mental health (depressive symptoms and anxiety symptoms) and social well-being (loneliness and social isolation); concern about COVID-19; and types of social participation (e.g. phone/video calls, visits). We also used multivariable logistic regression models to assess the relationship of rurality with mental health, adjusting for socio-demographic correlates, COVID-19 history, and COVID-19 concern. RESULTS: We found similar prevalence of mental health and social well-being outcomes for rural and urban respondents. Rural respondents reported lower concern about COVID-19 and more frequent use of social media than urban respondents. CONCLUSION: Mental health and social well-being did not differ by rural/urban location in the early months of the COVID-19 pandemic. However, rural residents reported less concern about COVID-19 and more use of social media, potentially leading to greater risk of illness from the pandemic in later months.

Incidental sun exposures as a source of sunburn among rural compared to urban residents in the United States.

PURPOSE: Melanoma incidence is higher in rural than in urban areas in the United States, possibly due to greater incidental sun exposures from rural outdoor-focused lifestyles and occupational patterns. Our aim was to compare activities at the time of a sunburn between rural and urban residents. METHODS: Utilizing the nationally representative 2019 cross-sectional Health Information National Trends Survey (HINTS), we report odds ratios (OR) and confidence intervals (CI) from logistic regression models comparing self-reported activities at most recent sunburn among rural versus urban adults. FINDINGS: About one-third of participants (37.2%) reported a sunburn in the past year, higher in urban (38.0%) than in rural populations (32.5%). At the time of most recent sunburn, swimming (36.6%) and working outside a home (29.4%) were the most commonly reported activities. Working on a job (30.4% vs 10.4%; OR: 3.30, 95% CI: 1.33, 8.20) or outside the house (38.7% vs 28.1%; OR: 1.86, 95% CI: 1.03, 3.33) were more common, while exercising or sunbathing were less common, among rural compared to urban participants. CONCLUSIONS: Incidental sun exposures during outdoor-focused rural occupations and work outside the house may be critical skin cancer prevention targets in rural populations; outdoor exercise and sunbathing may be more important in urban populations; incidental exposures while swimming may be important in both populations.