Testing rurality as a moderator of associations between masculinity constructs, help-seeking, and firearm storage practices.

INTRODUCTION: Self-reliance, emotional control, and honor ideology may prevent help-seeking when suicidal ideation emerges. Furthermore, these factors are associated with an increased likelihood of firearm ownership and unsecure storage, which could facilitate suicide attempts. The rurality of residence may impact these associations, as rural regions report increased independence, honor culture, and firearm prevalence. Therefore, this study examined how emotional control, self-reliance, and honor ideology relate to firearm storage and help-seeking for suicidal ideation, with rurality moderating these associations. METHODS: Participants were 733 adults (63.6% female, 33.5% male, and 2.9% transgender/other) who reported past-month suicidal ideation. Analyses tested associations between emotional control, self-reliance, and honor ideology with help-seeking for suicidal ideation and firearm storage, with rurality moderating these associations. RESULTS: The association of self-reliance and decreased help-seeking willingness for suicidal ideation was significant for those in non-urban areas. The association of emotional control and decreased help-seeking willingness for suicidal ideation was significant for those in urban areas. No variables predicted firearm storage. CONCLUSIONS: Self-reliance and emotional control could be barriers for help-seeking regardless of gender identity that depend on rurality. Clinicians may target emotional control/self-reliance via strengths-based approaches with an emphasis on when these constructs could be maladaptive, as this could promote help-seeking.

The Ecology of Economic Distress and Life Expectancy.

Objectives: To determine whether life expectancy (LE) changes between 2000 and 2019 were associated with race, rural status, local economic prosperity, and changes in local economic prosperity, at the county level. Methods: Between 12/1/22 and 2/28/23, we conducted a retrospective analysis of 2000 and 2019 data from 3,123 United States counties. For Total, White, and Black populations, we compared LE changes for counties across the rural-urban continuum, the local economic prosperity continuum, and for counties in which local economic prosperity dramatically improved or declined. Results: In both years, overall, across the rural-urban continuum, and for all studied populations, LE decreased with each progression from the most to least prosperous quintile (all p < 0.001); improving county prosperity between 2000-2019 was associated with greater LE gains (p < 0.001 for all). Conclusion: At the county level, race, rurality, and local economic distress were all associated with LE; improvements in local economic conditions were associated with accelerated LE. Policymakers should appreciate the health externalities of investing in areas experiencing poor economic prosperity if their goal is to improve population health.

Which LGBTQ+ Inclusive School Strategies Support LGBTQ+ Student, Staff and Parent Perceptions of School Climate? A Latent Class Analysis.

Lesbian, Gay, Bisexual, Transgender and Queer (LGBTQ+) students, LGBTQ+ staff and LGBTQ+ parents report schools can be unsafe and unwelcoming environments. Yet few studies have explored LGBTQ+ student, LGBTQ+ staff and LGBTQ+ parent perceptions of the school climate simultaneously or adopted person-centered perspectives. The present study sought to identify LGBTQ+ related strategies adopted by schools, and whether these were differentially related to perceptions of school safety and community. Data were collected in 2021 via online sampling of the current Australian school (1,937) students, (124) staff and (75) parents. Four distinct inclusion strategy profiles were identified via latent class analysis: Comprehensive Inclusion, Curriculum & Pedagogical Inclusion, Extracurricular Inclusion and Limited Inclusion. Just under half (48.2%) of schools lacked LGBTQ+ strategies, with participants from these schools reporting greater safety concerns. Our findings suggest that curriculum and pedagogical strategies are likely the most effective and should be a key focus for improving the school climate. Schools that employed LGBTQ+ affirming practices and included LGBTQ+ resources and activities, like Gay-Straight Alliances (GSAs), saw improved perceptions of safety and community.

The Influence of Urbanization on the Patterns of Hepatocellular Carcinoma Mortality From 1999 to 2020.

Background: Hepatocellular carcinoma (HCC) remains one of the leading causes of cancer-related fatalities despite early diagnosis and treatment progress, creating a significant public health issue in the United States. This investigation utilized death certificate data from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database to investigate HCC mortality patterns and death locations from 1999 to 2020. The objective was to analyze trends in HCC mortality across different population groups, considering the impact of urbanicity. Methods: In this study, death certificate data obtained from the CDC WONDER database were utilized to investigate the trends in HCC mortality and location of death between 1999 and 2020. The annual percent change (APC) method was applied to estimate the average annual rate of change during the specified timeframe for the relevant health outcome. Furthermore, including data on the location of death and geographic areas allowed us to gain deeper insights into the patterns and characteristics of HCC and its impact on different regions. Results: Between 1999 and 2020, there were 184,073 reported deaths attributed to HCC, and data on the location of death were available for all cases. Most deaths occurred during inpatient admissions (34.93%) or at home (41.19%). The study also found that the highest age-adjusted mortality rate (AAMR) for HCC was observed among male patients, particularly among those identified as Asian or Pacific Islander. Variations in AAMR were determined based on the level of urbanization or rurality of the area, with higher rates observed in more densely populated and urbanized regions. In contrast, less urbanized and populated areas experienced a profound increase in AAMR over the past two decades. Conclusion: The HCC-related AAMRs have worsened over time for most ethnic groups, except for Asian or Pacific Islanders, which showed a reduction in APC despite having the worst AAMR. Although rural and less densely populated areas have substantially increased AAMR over the past two decades, more urbanized areas continued to have higher AAMR rates.

Temporal evolution of suicide by levels of rurality and deprivation among Japanese adults aged 20 years or over between 2009 and 2022.

PURPOSE: Previous studies have reported that levels of rurality and deprivation are factors associated with suicide risk. Reports on the association between rurality, deprivation and suicide incidence during the COVID-19 pandemic are scarce. The study aims to investigate how suicide rates evolved in areas with different levels of rurality and deprivation among Japanese adults aged 20 years or older between 2009 and 2022. METHODS: This study used population density in 2020 as an indicator of rurality and per capita prefectural income in 2019 as a proxy for deprivation in Japan's 47 prefectures. Joinpoint regression analysis was performed to analyze secular trends in suicide rates by rurality and deprivation. RESULTS: Suicide rates for both men and women at different levels of rurality and deprivation remained roughly parallel during the research period. Suicide rates for men and women at all levels of rurality and deprivation were on a downward trend until around 2019, just before the onset of the pandemic. Following this, suicide rates in women showed a clear upward trend, while the trend in suicide rates for men also changed around 2019, with a slightly increasing or flat trend thereafter. Changes in suicide rates were greater among women and those aged 20-59 years. CONCLUSIONS: In Japan, time trends in suicide rates for both men and women have changed before and after the pandemic, but levels of rurality and deprivation across the 47 prefectures do not appear to have contributed much to these changes.

Disparities in Obesogenic Environments by Income, Race/Ethnicity, and Rurality Across All US Counties.

Background: Research is needed to explore inequities in physical activity (PA) and access to healthy eating resources for children on a national scale. This study examined disparities in childhood obesogenic environments across all United States (US) counties by income and race/ethnicity and their interaction with county rurality. Methods: Data for four PA variables (exercise opportunities, school proximity, walkability, crime) and six nutrition variables (grocery stores, farmers markets, fast-food restaurants, full-service restaurants, convenience stores, and births at baby-friendly hospitals) were collected for all US counties (n = 3142) to comprise the Childhood Obesogenic Environment Index (COEI). Variables were ranked and allocated a percentile for each county, and a total obesogenic environment score was created by averaging variable percentiles. Analysis of variance was used to assess differences by tertiles of county-level median household income (low/intermediate/high) and percentage of non-Hispanic (NH) White residents (low/intermediate/high). Interaction tests were used to assess effect modification by rurality, and stratified results were presented for all significant interactions. Results: There were significant differences in COEI values according to tertiles of median household income (F = 260.9, p < 0.0001). Low-income counties (M = 54.3, SD = 8.3) had worse obesogenic environments than intermediate (M = 49.9, SD = 7.9) or high (M = 45.9, SD = 8.8) income counties. There was also a significant interaction between rurality and median household income (F = 13.9, p < 0.0001). Similarly, there were significant differences in COEI values according to tertiles of race/ethnicity (F = 34.5, p < 0.0001), with low percentage NH White counties (M = 51.8, SD = 9.8) having worse obesogenic environment scores than intermediate (M = 48.7, SD = 8.4) or high (M = 49.5, SD = 8.5) NH White counties. There was also a significant interaction between rurality and race/ethnicity (F = 13.9, p < 0.0001). Conclusion: Low-income counties and those with more racial/ethnic minority residents, especially in rural areas, had less supportive PA and healthy eating environments for youth. Targeted policy and environmental approaches that aimed to address concerns specific to underserved communities are needed.

A multilevel analysis of changing telehealth availability in opioid use disorder treatment settings: Conditional effects of rurality, the number and types of medication for opioid use disorder available, and time, US, 2016-2023.

PURPOSE: The opioid overdose crisis requires strengthening treatment systems with innovative technologies. How people use telehealth for opioid use disorder (OUD) is evolving and differs in rural versus urban areas, as telehealth is emerging as a local resource and complementary option to in-person treatment. We assessed changing trends in telehealth and medication for OUD (MOUD) and pinpoint locations of low telehealth and MOUD access. METHODS: We used national data from the Mental health and Addiction Treatment Tracking Repository (2016-2023) to identify specialty outpatient SUD treatment facilities in the United States (N = 83,988). We modeled the availability of telehealth using multilevel multivariable logistic regression, adjusting for covariates. We included a 3-way interaction to test for conditional effects of rurality, the number of MOUD medication types dispensed, and year. We included two random effects to account for clustering within counties and states. FINDINGS: We identified 495 facilities that offered both telehealth and all three MOUD medication types (methadone, buprenorphine, naltrexone) in 2023, clustered in the eastern United States. We identified a statistically significant 3-way interaction (p < 0.0001), indicating that telehealth in facilities that did not offer MOUD shifted from more telehealth in rural facilities in earlier years to more telehealth in urban facilities in later years. CONCLUSIONS: Treatment facilities that offer both telehealth and all three MOUD medication types may improve access for hard-to-reach populations. We stress the importance of continued health system strengthening and technological resources in vulnerable rural communities, while acknowledging a changing landscape of increased OUD incidence and MOUD demand in urban communities.

Care Fragmentation, Social Determinants of Health, and Postoperative Mortality in Older Veterans.

INTRODUCTION: Veterans Affairs Surgical Quality Improvement Program (VASQIP) benchmarking algorithms helped the Veterans Health Administration (VHA) reduce postoperative mortality. Despite calls to consider social risk factors, these algorithms do not adjust for social determinants of health (SDoH) or account for services fragmented between the VHA and the private sector. This investigation examines how the addition of SDoH change model performance and quantifies associations between SDoH and 30-d postoperative mortality. METHODS: VASQIP (2013-2019) cohort study in patients ≥65 y old with 2-30-d inpatient stays. VASQIP was linked to other VHA and Medicare/Medicaid data. 30-d postoperative mortality was examined using multivariable logistic regression models, adjusting first for clinical variables, then adding SDoH. RESULTS: In adjusted analyses of 93,644 inpatient cases (97.7% male, 79.7% non-Hispanic White), higher proportions of non-veterans affairs care (adjusted odds ratio [aOR] = 1.02, 95% CI = 1.01-1.04) and living in highly deprived areas (aOR = 1.15, 95% CI = 1.02-1.29) were associated with increased postoperative mortality. Black race (aOR = 0.77, CI = 0.68-0.88) and rurality (aOR = 0.87, CI = 0.79-0.96) were associated with lower postoperative mortality. Adding SDoH to models with only clinical variables did not improve discrimination (c = 0.836 versus c = 0.835). CONCLUSIONS: Postoperative mortality is worse among Veterans receiving more health care outside the VA and living in highly deprived neighborhoods. However, adjusting for SDoH is unlikely to improve existing mortality-benchmarking models. Reduction efforts for postoperative mortality could focus on alleviating care fragmentation and designing care pathways that consider area deprivation. The adjusted survival advantage for rural and Black Veterans may be of interest to private sector hospitals as they attempt to alleviate enduring health-care disparities.

Inclusion of Rurality and Social Determinants of Health in Documents for the Primary Prevention of Type 2 Diabetes: A Systematic Review.

Purpose: The type 2 diabetes (T2D) burden is disproportionately concentrated in low- and middle-income economies, particularly among rural populations. The purpose of the systematic review was to evaluate the inclusion of rurality and social determinants of health (SDOH) in documents for T2D primary prevention. Methods: This systematic review is reported following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We searched 19 databases, from 2017-2023, for documents on rurality and T2D primary prevention. Furthermore, we searched online for documents from the 216 World Bank economies, categorized by high, upper-middle, lower-middle, and low income status. We extracted data on rurality and the ten World Health Organization SDOH. Two authors independently screened documents and extracted data. Findings: Based on 3318 documents (19 databases and online search), we selected 15 documents for data extraction. The 15 documents applied to 32 economies; 12 of 15 documents were from nongovernment sources, none was from low-income economies, and 10 of 15 documents did not define or describe rurality. Among the SDOH, income and social protection (SDOH 1) and social inclusion and nondiscrimination (SDOH 8) were mentioned in documents for 25 of 29 high-income economies, while food insecurity (SDOH 5) and housing, basic amenities, and the environment (SDOH 6) were mentioned in documents for 1 of 2 lower-middle-income economies. For U.S. documents, none of the authors was from institutions in noncore (most rural) counties. Conclusions: Overall, documents on T2D primary prevention had sparse inclusion of rurality and SDOH, with additional disparity based on economic status. Inclusion of rurality and/or SDOH may improve T2D primary prevention in rural populations.

Rural-urban Differences in Long-term Mortality and Readmission Following COVID-19 Hospitalization, 2020 to 2023.

Background: We compared long-term mortality and readmission rates after COVID-19 hospitalization based on rural-urban status and assessed the impact of COVID-19 vaccination introduction on clinical outcomes by rurality. Methods: The study comprised adults hospitalized for COVID-19 at 17 hospitals in 4 US states between March 2020 and July 2022, followed until May 2023. The main analysis included all patients, whereas a sensitivity analysis focused on residents from 4 states containing 17 hospitals. Additional analyses compared the pre- and postvaccination periods. Results: The main analysis involved 9325 COVID-19 hospitalized patients: 31% were from 187 rural counties in 31 states; 69% from 234 urban counties in 44 states; the mean age was 65 years (rural, 66 years; urban, 64 years); 3894 women (rural, 41%; urban, 42%); 8007 Whites (rural, 87%; urban, 83%); 1738 deaths (rural, 21%; urban, 17%); and 2729 readmissions (rural, 30%; urban, 29%). During a median follow-up of 602 days, rural residence was associated with a 22% higher all-cause mortality (log-rank, P < .001; hazard ratio, 1.22; 95% confidence interval, 1.10-1.34, P < .001), and a trend toward a higher readmission rate (log-rank, P = .038; hazard ratio, 1.06; 95% confidence interval, .98-1.15; P = .130). The results remained consistent in the sensitivity analysis and in both pre- and postvaccination time periods. Conclusions and Relevance: Patients from rural counties experienced higher mortality and tended to be readmitted more frequently following COVID-19 hospitalization over the long term compared with those from urban counties, a difference that remained even after the introduction of COVID-19 vaccines.

Tobacco Quitline utilization compared with cigarette smoking prevalence in Virginia across rurality and Appalachian Status, 2011-2019.

Introduction: While cigarette smoking rates have declined, rural and Appalachian populations in the United States have not seen similar decreases. Quitline programs are promising strategies in reducing disparities in these areas, but research on their usage is limited. Methods: We employed Small Area Estimation on the Virginia Behavioral Risk Factor Surveillance System (2011-2019) to estimate county-level smoking prevalence and utilized The Quit Now Virginia Quitline data (2011-2019) to estimate Quitline users. We analyzed differences in Quitline utilization by rurality and Appalachian status using statistical t-tests. Stepwise regression assessed the absolute estimate of county features, including poverty rate, tobacco retailer density, physician availability, coal mining industry, and tobacco agriculture, on Quitline usage. Results: While the average smoking rate overall was 15.3 %, only 7.4 % of smokers accessed Quitline services from 2011 to 2019. Appalachian regions exhibited higher smoking rates (20.9 %) and lower quitline usage (4.8 %) compared to non-Appalachian areas (14 % smoking prevalence, 8 % quitline usage). Rural regions had higher smoking prevalence (19.0 %) than urban areas (12.9 %), but no significant difference in Quitline utilization (7.6 % vs. 7.2 %, p = 0.7). Stepwise regression revealed counties with more tobacco agriculture had 3.2 % (p = 0.04) lower Quitline utilization. Also, more physicians availability in the county was associated with 3.9 % higher Quitline usage (p = 0.03) and Appalachian counties exhibited a 3.6 % lower Quitline usage rate compared to non-Appalachian counties. Conclusion: A significant gap exists between cigarette smoking prevalence and Quitline utilization, particularly in underserved rural and Appalachian areas, despite no clear barriers to accessing this remote cessation resource. Implication: The study underscores persistent disparities in smoking rates, with rural and Appalachian regions in the United States facing higher smoking prevalence and limited utilization of Quitline services. Despite no clear barriers to access, the gap between smoking prevalence and Quitline usage remains significant, particularly in underserved areas. Tailoring interventions to address regional disparities and factors like tobacco agriculture and physician availability is essential to reduce smoking rates and improve Quitline utilization in these communities.

Socioeconomic Deprivation and Invasive Breast Cancer Incidence by Stage at Diagnosis: A Possible Explanation to the Breast Cancer Social Paradox.

In this study, we assessed the influence of area-based socioeconomic deprivation on the incidence of invasive breast cancer (BC) in France, according to stage at diagnosis. All women from six mainland French departments, aged 15+ years, and diagnosed with a primary invasive breast carcinoma between 2008 and 2015 were included (n = 33,298). Area-based socioeconomic deprivation was determined using the French version of the European Deprivation Index. Age-standardized incidence rates (ASIR) by socioeconomic deprivation and stage at diagnosis were compared estimating incidence rate ratios (IRRs) adjusted for age at diagnosis and rurality of residence. Compared to the most affluent areas, significantly lower IRRs were found in the most deprived areas for all-stages (0.85, 95% CI 0.81-0.89), stage I (0.77, 95% CI 0.72-0.82), and stage II (0.84, 95% CI 0.78-0.90). On the contrary, for stages III-IV, significantly higher IRRs (1.18, 95% CI 1.08-1.29) were found in the most deprived areas. These findings provide a possible explanation to similar or higher mortality rates, despite overall lower incidence rates, observed in women living in more deprived areas when compared to their affluent counterparts. Socioeconomic inequalities in access to healthcare services, including screening, could be plausible explanations for this phenomenon, underlying the need for further research.

Self-reported and accelerometry measures of sleep components in adolescents living in Pacific Island countries and territories: Exploring the role of sociocultural background.

OBJECTIVES: The objective of this study is to assess the concordance and its association with sociocultural background of a four-question survey with accelerometry in a multiethnic adolescent population, regarding sleep components. Based on questions from the Pittsburgh Sleep Quality Index and adapted to a school context, the questionnaire focussed on estimating sleep onset time, wake-up time and sleep duration on both weekdays and weekends. This subjective survey was compared with accelerometry data while also considering the influence of sociocultural factors (sex, place of living, ethnic community and socio-economic status). METHODS: Adolescents aged 10.5-16 years (n = 182) in New Caledonia completed the survey and wore an accelerometer for seven consecutive days. Accelerometry was used to determine sleep onset and wake-up time using validated algorithms. Based on response comparison, Bland-Altman plots provided agreement between subjective answers and objective measures. We categorized participants' answers to the survey into underestimated, aligned and overestimated categories based on time discrepancies with accelerometry data. Multinomial regressions highlighted the sociocultural factors associated with discrepancies. RESULTS: Concordance between the accelerometer and self-reported assessments was low particularly during weekends (18%, 26% and 19% aligned for onset sleep time, wake-up time and sleep duration respectively) compared with weekdays (36%, 53% and 31% aligned, respectively). This means that the overall concordance was less than 30%. When considering the sociocultural factors, only place of living was associated with discrepancies in onset sleep time and wake-up time primarily on weekdays. Rural adolescents were more likely to overestimate both onset sleep time (B = -1.97, p < 0.001) and wake-up time (B = -1.69, p = 0.003). CONCLUSIONS: The study found low concordance between self-assessment and accelerometry outputs for sleep components. This was particularly low for weekend days and for participants living in rural areas. While the adapted four-item questionnaire was useful and easy to complete, caution should be taken when making conclusions about sleep habits based solely on this measurement.

Differences between rural and urban residence in the detection and treatment of perinatal mood and anxiety disorders.

BACKGROUND: Perinatal mood and anxiety disorders are common, serious complications of pregnancy. Disparities exist by race and income in the prevalence and treatment of these conditions, and overall treatment rates remain low. Outside of pregnancy, a small body of literature suggests that rural residency may contribute to higher rates of depression for those who identify as women. However, among more diverse populations, evidence suggests urban residency may be associated with higher rates of depression among women of color. It is not known whether these trends hold for mood and anxiety disorders during pregnancy and postpartum. OBJECTIVE: We examined differences in the detection and treatment of perinatal mood and anxiety disorders by rural and urban residents and assessed if the observed differences varied by maternal race or ethnicity. STUDY DESIGN: We conducted a cross-sectional study using linked Medicaid claims and birth certificate records from Oregon and South Carolina from 2016 to 2020. We identified perinatal mood and anxiety disorder diagnoses during the perinatal period (pregnancy and within 60 days postpartum) using International Classification of Disease 10th edition codes and enumerated receipt of pharmacotherapy and psychotherapy treatment using Medicaid claims. We used logistic regression models controlling for relevant clinical and sociodemographic characteristics to estimate associations between rural residence and mood disorder detection and treatment. RESULTS: Among the 185,809 births in our sample, 27% of births (n=50,820) were to people who lived in rural areas and 73% (n=134,989) to those in urban areas. The prevalence of any perinatal mood and anxiety disorders diagnosis was higher for urban residents (19.5%) than for rural residents (18.0%; P<.001). Overall treatment rates were low among people with a perinatal mood and anxiety disorder (42% [n=14,789]). In our adjusted models, those living in urban areas had higher odds of a perinatal mood and anxiety disorder diagnosis (adjusted odds ratio, 1.059 [95% confidence interval, 1.059-1.059], P<.001). We found a significant interaction between maternal race and rurality (P<.001). When we stratified by race, we found that among those who identified as Black, the odds of a perinatal mood and anxiety disorder diagnosis were increased for urban residents (odds ratio, 1.188 [95% confidence interval, 1.188-1.188]), whereas among those who identified as White, there were no such increased odds (odds ratio, 1.027 [95% confidence interval, 0.843-1.252]). CONCLUSION: We saw small but meaningful differences between rural and urban residents in perinatal mood and anxiety disorder diagnosis rates. We detected an interaction between race and rural vs urban maternal residence that impacted the observed differences. By elucidating the intersection between race and other sociodemographic factors, we hope more targeted and meaningful investments can be made in the communities most in need.

Regional Disparities in Hyperacute Treatment and Functional Outcomes after Acute Ischemic Stroke in Japan.

AIM: This study investigated the impact of rurality on acute ischemic stroke (AIS) outcomes, emphasizing the hyperacute phase, in which immediate care is crucial. METHODS: This retrospective cohort study analyzed data from a large Japanese hospital network covering AIS patients from 2013-2021, was analyzed. The focus was on patients admitted within 4.5 h of the onset, using the Rurality Index for Japan (RIJ) to categorize patients into rural or urban groups. This study examined treatment methods (intravenous thrombolysis [IVT] and mechanical thrombectomy [MT]) and functional outcomes measured using the modified Rankin Scale (mRS), where scores of 3-6 indicated poor outcomes. Multilevel logistic regression was used to calculate the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for poor outcomes baSed on rurality. The study also evaluated the population-attributable fraction (PAF) to estimate potential outcome improvements in urban settings. RESULTS: Of 27,691 patients, 17,516 were included in the total cohort and 4,954 in the hyperacute cohort. Urban patients constituted 73.7% (12,902), with higher IVT (5.2%) and MT (3.6%) rates than rural patients (4.1% IVT, 2.0% MT). Poor mRS outcomes were more common in rural areas than in urban areas, with adjusted ORs of 1.30 (1.18-1.43) in the total cohort and 1.43 (1.19-1.70) in the hyperacute cohort. The PAF for poor outcomes due to rural residency was 14.8% (0.5%-31.0%). CONCLUSION: This study demonstrated a notable association between rurality and poorer AIS outcomes in Japan, particularly in the hyperacute phase.

Sense of neighborhood belonging and health: geographic, racial, and socioeconomic variation in Wisconsin.

Background: Individuals' sense of belonging (SoB) to their neighborhood is an understudied psychosocial factor that may influence the association between neighborhood characteristics, health, and disparities across socio-demographic groups. Methods: Using 2014-2016 data from the Survey of the Health of Wisconsin (SHOW, N = 1,706), we conduct a detailed analysis of SoB and health in an American context. We construct OLS and logistic regressions estimating belonging's association with general, physical, and mental health. We explore geographic, racial, and socioeconomic variation to understand both the differential distribution of SoB and its heterogeneous relationship with health. Results: A higher SoB is positively associated with better physical, mental, and general health. White participants report higher SoB than Black participants, yet the association between SoB and mental health is strongest among participants of color and urban residents. Conclusion: Sense of belonging to neighborhood significantly predicts many facets of health, with place and individual characteristics appearing to moderate this relationship. Racial, geographic, and socioeconomic disparities in belonging-health associations raise important questions about who benefits from the social, economic, and physical aspects of local communities.

Disparities in Access to Bariatric Surgery in North Carolina.

BACKGROUND: This study sought to identify factors that contribute to disparities in access to bariatric surgery in North Carolina (NC). METHODS: Using the rate of bariatric surgery in the county with the best health outcome as the reference, we calculated the Surgical Equity Index (SEI) in the remaining counties in NC. RESULTS: Approximately 2.95 million individuals (29%) were obese in NC. There were 992 (.5%) bariatric procedures performed on a population of 194 209 individuals with obesity in the Reference County (RC). The mean SEI for bariatric surgery in NC was .47 (SD .17, range .15-.95). A statistically significant difference was observed in 89 counties. Univariable analyses identified the following variables to be significantly associated with the SEI: percent of population living in rural areas (% rural) (relative rate change in SEI [RR] = .994, 95% CI .92-.997; <.0001), median household income (RR = 1.0, 95% CI = 1.0-1.0; P = .0002), prevalence of diabetes (RR = .947, 95% CI .917-.977; .0006), the primary care physician ratio (RR = .995, 95% CI .991-.998; P = .006), and percent uninsured adults (RR = .955, 95% CI .927-.985; P = .003). By multivariable hierarchical regression analysis, only the % rural remained statistically associated with a low SEI (RR = .995 per 1% increase in % rural, 95% CI = .992, .998; P = .0002). DISCUSSION: The percent rural is the most significant predictor of disparities in access to bariatric surgery. For every 1% increase in % rural, the rate of surgery decreased by .5%. Understanding the characteristics of rurality that are barriers to access is crucial to mitigate disparities in bariatric surgical access in NC.

Patient experiences in primary care do not differ according to rurality: a cross-sectional study.

BACKGROUND: Living in rural areas is a major contributor of health inequity. Tackling health inequity is important for primary care physicians. Therefore, it is important to compare the quality of primary care between rural and urban areas. To the best of our knowledge, this is the first study to examine the association between rurality and patient experience (PX) in Japan using validated measures. METHODS: This cross-sectional study was conducted using online surveys. Participants were selected using a stratified random sample based on sex and age. The Japanese version of the Person-Centered Primary Care Measure (PCPCM) was used as an indicator of PX. We used the Rurality Index for Japan (RIJ) to measure rurality. Furthermore, we used multivariate linear regression analysis to examine the relationship between the RIJ and PCPCM after adjusting for confounders. RESULTS: Of the 1112 eligible participants, 800 responded to the survey (response rate:71.9%). The mean PCPCM scores were 2.46 (standard deviation: 0.73) and median RIJ was 15 (interquartile range: 6-33). The crude and adjusted coefficients of rurality were - 0.02 (- 0.006-0.001, p = 0.114) and - 0.02 (- 0.005-0.001), respectively, demonstrating that rurality was not significantly associated with the total PCPCM score. Subgroup analyses were similar to the main analyses. CONCLUSION: We found that PX in primary care did not differ by rurality in the general Japanese population.

Cultural, Linguistic, and Geographical Diversity of Participants in Australian Physical Activity Research Studies: A Systematic Review.

BACKGROUND: The Australian population is highly diverse in terms of cultural heritage, languages spoken, and geographical dispersion. Health outcomes are often worse among these culturally, linguistically, and geographically diverse populations, and this is reflected in rates of physical activity participation, with people from these groups often engaging in insufficient physical activity for health benefits. This research aimed to investigate if physical activity intervention studies conducted in Australia were (1) designed to recruit culturally, linguistically, and geographically diverse participants and (2) recruiting culturally, linguistically, and geographically diverse participants. METHODS: We conducted a systematic review of physical activity intervention studies conducted in adults in Australia between 2015 and November 2022. Information relevant to inclusivity in study recruitment methods and diversity of recruited participants was extracted. RESULTS: We identified and extracted data from 371 studies, of which 98 were protocol papers for which no follow-up data was available. Only 26 studies (7%) included methods to recruit culturally or linguistically diverse participants. Most studies (189, 51%) recruited participants from major city locations, with few studies recruiting from more remote locations. No studies included recruitment from very remote regions. Information on cultural, linguistic, or geographic diversity of participants recruited to physical activity studies was provided by 109 studies (40% of studies including results) with the majority recruiting White, English-speakers from major cities. CONCLUSIONS: Few Australian physical activity studies are designed to recruit culturally, linguistically, and geographically diverse participants. Due to limited reporting of the diversity of participants, comparisons with population-representative data are unreliable.