Tourette syndrome (TS) affects about 0.5% of the population worldwide, but only sparse and conflicting data exist on TS prevalence among minority samples. Here we used VISIT-TS (a survey preceded by a short video showing tic phenomenology) and community outreach to provide estimates of tic disorder prevalence in African Americans. Community health workers (CHWs) left flyers at households in a predominantly minority neighborhood and approached people at a community health fair. Of 606 such contacts, 222 individuals agreed to discuss the study. Of these, 70% enrolled, of whom 82% identified as Black and 64% female. The VISIT-TS was well received. Lifetime prevalence of TS or another chronic tic disorder (TS/CTD) was 3.2%, and 31% endorsed any lifetime simple tic. The number of enrolled Black participants is remarkable compared to earlier TS studies, allowing one of the first prevalence estimates in this population (TS 2.3%, TS/CTD 3.9%). Tic disorders were endorsed only by Black respondents, though the small White sample precluded statistical comparison. Women had higher rates than men of TS (M:F = 0:1) and of any lifetime simple tic (M:F = 0.85), differing significantly from the expected 4:1 ratio (p = .009 and p < .001, respectively). For TS/CTD the ratio was 1.2:1 (p > .15). We conclude that VISIT-TS is a feasible tic screening tool in a minority population, that CHW community outreach increases enrollment of Black participants, that TS/CTD is no less common in this population, and that tics were as common in female as in male respondents.

OBJECTIVE: The number of people with memory problems who desire or are forced to age in place has been growing rapidly. COVID-19 has brought significant challenges to the ability of those with memory problems to stay active and age in place. This study investigated the roles of neighborhood environments in helping community-dwelling people with memory problems maintain physical activity during the COVID-19 pandemic.
METHODS: We used retrospective online survey data from 75 caregivers who responded on behalf of their care recipients with memory problems living in Texas communities. We used difference-in-difference (DID) estimations based on zero-inflated negative binomial regression models to examine the changes in recreational walking and moderate-to-strenuous exercise before and during the COVID-19 pandemic and whether such changes vary by diversity of walkable neighborhood destinations.
RESULTS: In the total sample, there was a significant reduction in both recreational walking (Δ change=-45.16 min/week, p<0.001) and exercise (Δ change=-36.28 min/week, p=0.03) after the COVID-19 outbreak. The pandemic\'s impact on exercise varied by diversity of neighborhood destinations (DID=0.81, p=0.03). Those living in neighborhoods with diverse walkable destinations experienced less decline in physical activity compared to those living in areas with limited destinations.
CONCLUSIONS: These findings suggest that the impact of the COVID-19 pandemic on physical activity among people with memory problems may be partially explained by neighborhood land use characteristics. Destination-rich, mixed-use neighborhood environments can help people with memory problems stay active even during pandemics such as COVID-19 in the U.S. and potentially elsewhere.

BACKGROUND: Despite the known benefits for individuals with heart failure (HF), incomplete data suggest a low use of palliative care (PC) for HF in the United States. We aimed to investigate the national PC use for adults with HF by determining when they received their first PC consultation (PCC) and the associations with clinical factors following diagnosis of HF.
RESULTS: We conducted a retrospective cohort study in a national all-payer electronic health record database to identify adults (aged ≥18 years) with newly diagnosed HF between 2011 and 2018. The proportion of those who received PCC within 5 years following a diagnosis of HF, and associations of time to first PCC with patient characteristics and HF-specific clinical markers were determined. We followed 127 712 patients for a median of 792 days, of whom 18.3% received PCC in 5 years. Shorter time to receive PCC was associated with diagnoses of HF in 2016 to 2018 (compared with 2010-2015: adjusted hazard ratio [aHR], 1.421 [95% CI, 1.370-1.475]), advanced HF (aHR, 2.065 [95% CI, 1.940-2.198]), cardiogenic shock (aHR, 2.587 [95% CI, 2.414-2.773]), implantable cardioverter-defibrillator (aHR, 5.718 [95% CI, 5.327-6.138]), and visits at academic medical centers (aHR, 1.439 [95% CI, 1.381-1.500]).
CONCLUSIONS: Despite an expanded definition of PC and recommendations by professional societies, PC for HF remains low in the United States. Racial and geographic variations in access and use of PC exist for patients with HF. Future studies should interrogate the mechanisms of PC underusage, especially before advanced stages, and address barriers to PC services across the health care system.

OBJECTIVE: Rural populations are at risk for poorer access to health services and lower quality care, and recent policy efforts have focused on the reduction of rural-urban health inequities. The objective of this study was to identify differences in (1) patient demographic factors, (2) the utilization of confirmatory electrodiagnostic (EDS) testing, and (3) preoperative EDS severity between rural and urban populations undergoing carpal tunnel release (CTR).
METHODS: We retrospectively identified 1,297 patients who underwent CTR at a tertiary referral center from July 2008 to June 2013. Exclusion criteria were acute trauma or infection, revision surgery, incomplete medical records, neoplasm excision, and the lack of rural-urban commuting area (RUCA) code for rural-urban classification. A final cohort of 1,138 patients who underwent CTR were included. The RUCA was used to classify patients by rural or urban residence. We assessed patient demographic factors including comorbidities, the utilization of confirmatory EDS testing, and preoperative EDS severity. A bivariate screen was performed for associations between rural-urban residence and our outcome variables, and variables with p <0.05 in the bivariate screen were included in a multivariable logistic regression model.
RESULTS: Of the 1,138 patients, 55 patients (5%) resided in a rural area and 1,083 patients (95%) resided in an urban area. No difference was found in the utilization of confirmatory EDS testing between rural and urban patients undergoing CTR. The final multivariable logistic regression model showed that rural residence was independently associated with older age, lower body mass index (BMI), and EDS-negative disease.
CONCLUSIONS: Rural patients undergoing CTR are more likely to have EDS-negative disease, which calls into question the effectiveness of EDS testing as a confirmatory test in this population. There is a paucity of literature on the outcomes of CTR in a rural population, and further studies are needed to ensure rural-urban equity in care.

Access to online medical records (OMRs) can help enhance cancer patient engagement and improve their health outcomes. This study investigates disparities in OMR access among cancer survivors and examines the association between OMR access and health perceptions. We conducted a cross-sectional analysis using data from the National Cancer Institute\'s Health Information National Trends Survey (HINTS) from 2017 to 2022. The sample included 4713 cancer survivors. We employed regression analysis to assess the associations between the different factors. Overall, 18.78% of participants accessed their OMRs once or twice, while 36.69% accessed them three times or more. Gender minority groups (β = -0.0038, p = 0.01), older adults (β = -0.1126, p < 0.001), and racial minority groups (β = -0.059, p < 0.001) were less likely to access their OMRs. Additionally, higher education levels (β = 0.274, p < 0.001), insurance coverage (β = 0.365, p < 0.001), and higher incomes (β = 0.115, p < 0.001) were associated with increased OMR access. Positive health perceptions were significantly associated with OMR usage, including perceived good health (β = 0.148, p < 0.001), quality of care (β = 0.15, p = 0.026), and self-efficacy (β = 0.178, p = 0.002). Disparities in OMR access among cancer survivors are influenced by socio-economic factors and health perceptions. Interventions targeting vulnerable groups, enhancing digital health literacy, and improving health perceptions could promote equitable OMR usage.

We applied natural language processing (NLP) to a corpus extracted from 4 hours of expert panel discussion transcripts to determine the sustainability of a Stage II-III clinical trial of online social support interventions for Hispanic and African American dementia caregivers. Prominent topics included Technology/hard to reach populations, Training younger populations, Building trust, Privacy and security issues, Simplification of screening questions and recruitment procedures, Understanding participants\' needs, Planning strategies and logistics, Potential recruitment places, Adjusting intervention size downwards to engage elderly participants, Targeting different generations, Internet-based interventions by age range, and Providing step-by-step instructions and an overview of the entire research process during recruitment. The application of NLP to qualitative data on a dementia caregiving clinical trial provides useful insights for recruitment, retention, and adherence to guidelines for such interventions serving Hispanic and African American dementia caregivers.

Cancer-related pain has a significant impact on quality of life for patients with cancer. In populations without cancer, there are documented pain inequities associated with minoritized racial and/or ethnic groups, women, and low socioeconomic status. However, our understanding of pain inequities specifically among patients with cancer remains incomplete. We narratively synthesized published quantitative research on cancer-related pain inequities in the US in the past decade. A search identified 17 English-language articles examining pain for patients with various cancer types at different treatment stages. Our review revealed mixed findings comparing cancer-related pain by racial group (e.g., Black vs White) and sex (male vs female), but consistent findings indicating that people with lower (vs higher) socioeconomic status and younger (vs older) patients report more cancer-related pain. Research on cancer pain among sexual and gender minorities remains scant. Key research gaps include a need for more research that incorporates an intersectional perspective by exploring intersecting subgroups and measuring social and structural processes that drive pain inequities. These findings underscore an important need for researchers to use an intersectional approach to cancer pain to help elucidate key populations at-risk for exacerbated cancer-related pain and identify ways to mitigate social and structural processes that drive these inequities.
There are known differences in pain experiences among people from different racial or ethnic groups, sex (male or female) or gender (men or women), and socioeconomic groups such as low income people. However, we don\'t fully understand these differences among cancer patients yet. This review looks at the past 10 years of research on how cancer-related pain may differ for people from different sociodemographic groups. We collected information from 17 studies in the US that looked at how pain from different types of cancer and different stages of treatment may differ for people from these different groups. We found mixed results when comparing pain between racial groups and sex and/or gender groups, but consistently found that people with lower incomes and younger patients reported more pain. There\'s not much research on how cancer pain affects sexual and gender minorities (LGBTQ+ people). Our review suggests that we need an intersectional approach to best understand cancer-related pain in order to best address how structural discrimination influences pain. Researchers should use an intersectional perspective, which will help us find out who\'s most at risk of severe cancer pain and find ways to help them better.

OBJECTIVE: This study aims to explore obesity-related behaviors (ORB) and health-related quality of life (HRQoL) in socioeconomically vulnerable children, while also examining potential associations between these variables.
METHODS: A total of 721 children enrolled in after-school care programs for socioeconomically vulnerable children participated in this study. Height (in cm) and weight (in kg) were measured directly by trained research assistants. ORB, including eating behaviors and physical activity, was assessed utilizing the Nutrition Quotient Questionnaire. HRQoL was measured utilizing the PedsQL™ 4.0. Data were analyzed using logistic regression.
RESULTS: The findings revealed that participants exhibited lower levels of ORB and reduced HRQoL, particularly in the physical health dimension of HRQoL. Inadequate physical activity and poor dietary habits were strongly associated with a 2.625-fold (OR = 2.625, 95% CI = 1.867-3.691) and a 4.251-fold (OR = 4.251, 95% CI = 2.466-7.328) increase, respectively, in the likelihood of having low HRQoL. Surprisingly, the study did not find a significant link between ORB levels and obesity, and obesity status did not predict a higher probability of low HRQoL.
CONCLUSIONS: This study underscores the need for tailored interventions designed specifically for children from socioeconomically vulnerable families to address their unique challenges.
CONCLUSIONS: This research provides valuable insights for pediatric nurses and healthcare providers, highlighting the crucial role of promoting healthy ORB in socioeconomically vulnerable children to address disparities in childhood obesity and HRQoL.

BACKGROUND: Substance use is a public crisis in the U.S. Substance use can be understood as a series of events in the life course, from initiation to mortality. Social Determinants of Health (SDoH) have increasingly been recognized as essential contributors to individuals\' health. This scoping review aims to examine available evidence of SDoH impact on the life course of substance use disorder (SUD).
METHODS: This study identified peer-reviewed articles that reported longitudinal studies with SDoH factors as independent variables and substance use and disorders as dependent variables from PubMed, Embase, and Web of Science. The reported associations between SDoH and substance use stages over the life course were narratively and graphically summarized.
RESULTS: Among the 50 studies identified, ten revealed parental monitoring/support and early childhood education as protective factors, while negative peer influences and neighborhood instability were risk factors of substance use initiation. Nineteen articles reported factors associated with escalation in substance use, including unemployment, neighborhood vulnerability, negative peer influence, violence/trauma, and criminal justice system (CJS) involvement. Ten articles suggested that employment, social support, urban living, and low-barrier medication treatment facilitated treatment participation, while stigma and CJS involvement had negative impact on treatment trajectory. Social support and employment could foster progress in recovery and CJS involvement and unstable housing deterred recovery. Four studies suggested that unemployment, unstable housing, CJS involvement, and lack of social support were associated with overdose and mortality.
CONCLUSIONS: This review underscores the influence of social networks and early life experiences on the life course of SUD. Future SDoH research should investigate overdose and mortality and the impact of broader upstream SDoH on SUD. Interventions addressing these social factors are needed to mitigate their detrimental effects on the trajectories of SUD over the life course.

BACKGROUND: Mild cognitive impairment (MCI) is a significant public health concern and a potential precursor to Alzheimer\'s disease (AD). This study leverages electronic health record (EHR) data to explore rural-urban differences in MCI incidence, risk factors, and healthcare navigation in West Michigan.
METHODS: Analysis was conducted on 1,528,464 patients from Corewell Health West, using face-to-face encounters between 1/1/2015 and 7/31/2022. MCI cases were identified using International Classification of Diseases (ICD) codes, focusing on patients aged 45+ without prior MCI, dementia, or AD diagnoses. Incidence rates, cumulative incidences, primary care physicians (PCPs), and neuropsychology referral outcomes were examined across rural and urban areas. Risk factors were evaluated through univariate and multivariate Cox regression analyses. The geographic distribution of patient counts, hospital locations, and neurology department referrals were examined.
RESULTS: Among 423,592 patients, a higher MCI incidence rate was observed in urban settings compared to rural settings (3.83 vs. 3.22 per 1,000 person-years). However, sensitivity analysis revealed higher incidence rates in rural areas when including patients who progressed directly to dementia. Urban patients demonstrated higher rates of referrals to and completion of neurological services. While the risk factors for MCI were largely similar across urban and rural populations, urban-specific factors for incident MCI are hearing loss, inflammatory bowel disease, obstructive sleep apnea, insomnia, being African American, and being underweight. Common risk factors include diabetes, intracranial injury, cerebrovascular disease, coronary artery disease, stroke, Parkinson\'s disease, epilepsy, chronic obstructive pulmonary disease, depression, and increased age. Lower risk was associated with being female, having a higher body mass index, and having a higher diastolic blood pressure.
CONCLUSIONS: This study highlights rural-urban differences in MCI incidence and access to care, suggesting potential underdiagnosis in rural areas likely due to reduced access to specialists. Future research should explore socioeconomic, environmental, and lifestyle determinants of MCI to refine prevention and management strategies across geographic settings.
UNASSIGNED: Leveraged EHRs to explore rural-urban differences in MCI in West Michigan.Revealed a significant underdiagnosis of MCI, especially in rural areas.Observed lower rates of neurological referrals and completions for rural patients.Identified risk factors specific to rural and urban populations.