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Objective: Characterize college student COVID-19 behaviors and attitudes during the early pandemic. Participants: Students on two university campuses in Wisconsin., Methods: Surveys administered in September and November 2020., Results: Few students (3-19%) participated in most in-person activities during the semester, with eating at restaurants as the exception (72-80%) and attending work (35%) and parties (33%) also reported more frequently. The majority wore masks in public (94-99%), but comparatively fewer (42%) did so at parties. Mask-wearing at parties decreased from September to November ( p  < 0.05). Students attending parties, or consuming more alcohol, were less concerned and more likely to take COVID-19-associated risks., Conclusions: Students were motivated to adhere to COVID-19 prevention measures but gathered socially. Though there was frequent public masking, mask-wearing at parties declined in November and may represent pandemic fatigue. High-yield strategies for decreasing viral spread may include changing masking social norms and engaging with students about creative risk-reduction strategies.

Context: Population health rankings can be a catalyst for the improvement of health by drawing attention to areas in need of relative improvement and summarizing complex information in a manner understood by almost everyone. However, ranks also have unintended consequences, such as being interpreted as "hard truths," where variations may not be significant. There is a need to improve communication about uncertainty in ranks, with accurate interpretation. The most common solutions discussed in the literature have included modeling approaches to minimize statistical noise or borrow strength from covariates. However, the use of complex models can limit communication and implementation, especially for broad audiences., Objectives: Explore data-informed grouping (cluster analysis) as an easier-to-understand, empirical technique to account for rank imprecision that can be effectively communicated both numerically and visually., Design: Cluster analysis, specifically k-means clustering with Wasserstein (earth mover's) distance, was explored as an approach to identify natural and meaningful groupings and gaps in the data distribution for the County Health Rankings' (CHR) health outcomes ranks., Setting: County-level health outcomes from the 2022 CHR., Participants: 3082 counties that were ranked in the 2022 CHR., Main Outcome Measure: Data-informed health groups., Results: Cluster analysis identified 30 health groupings among counties nationwide, with cluster size ranging from 9 to 184 counties. On average, states had 16 identified clusters, ranging from 3 in Delaware and Hawaii to 27 in Virginia. Number of clusters per state was associated with number of counties per state and population of the state. The method helped address many of the issues that arise from providing rank estimates alone., Conclusions: Public health practitioners can use this information to understand uncertainty in ranks, visualize distances between county ranks, have context around which counties are not meaningfully different from one another, and compare county performance to peer counties., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Wound trajectory and outcomes research has applications in different aspects of wound healing: forecasting wound healing time, access and utilization of wound care services, factors associated with disparities in wound care services, and its quality and outcomes. Wound care research benefits from a well-maintained record management system. In this article, we demonstrate the customization of the District Health Information Software (DHIS2) platform to integrate wound care clinical data with social determinants of health from several Comprehensive Wound Centers (CWC) in Indiana. We describe the modules and features of our platform, such as tracker capture, visualization, and maps. DHIS2 is used in more than 60 countries to monitor and evaluate health programs. However, to the best of our knowledge, this is the first attempt to use DHIS2 as a wound care data warehouse, a platform to perform wound care research for academic researchers and clinical practitioners. Clinicians can use the platform as one of the key tools to make an informed decision in determining the treatment for favorable healing trajectory and wound outcomes. We conducted a usability and acceptance survey among researchers at the Indiana Center for Regenerative Medicine and Engineering and found that DHIS2 can be a suitable infrastructure to manage metadata to import and analyze combined data from disparate sources, including Electronic Medical Records, WoundExpert, and clinical trials management software like REDCap. [ABSTRACT FROM AUTHOR]

The space heating in residential buildings during winters account for a considerable amount of conventional or high-grade electrical energy. Therefore, improving the performance of space heating systems with the inclusion of renewable energy sources like solar becomes crucial in order to have better occupant's comfort while reducing energy use. Phase change material (PCM) is one of the best solutions for the storage of renewable thermal energy, especially solar, which are intermittently available. PCM stores energy when surplus energy is available and deliver whenever it is required. It can be integrated with the system for energy storage as well as availing heat at a constant temperature. The present study will try to demonstrate the energy-saving by implementing the local heating with a spiral latent heat thermal energy storage system, when only a particular (local) space heating is of interest. In this work, an experimental, as well as the numerical studies of a dome over a bed were performed. Various heating coil configurations, namely floor coil, roof zig-zag, and roof spiral, were constructed to find the best configuration for the localized space heating. Experiments and simulations with the variable flow rate (0.25, 0.50, and 0.75 m/s) and varying inlet temperatures (55, 60, and 65 °C) of the heat transfer fluid were carried out. It was found that the floor coil heating gives better results as compared with the other two. It was also seen that the effect of mass flow rate and inlet temperature was not that much significant after a limit. A temperature difference of 20 °C was maintained between the space under consideration with the surrounding room. [ABSTRACT FROM AUTHOR]

Food-derived protein hydrolysates or peptides with health benefits may help to treat chronic diseases like cancer, diabetes, and hypertension. These components can be converted into bioactive ingredients suitable for use in functional foods, pharmaceuticals, and nutraceuticals, thereby creating significant value opportunities in food production. Bran, the hard-outer layer of cereal grain, is a by-product of the milling process to produce refined grains. Pigmented rice bran provides 12–16% protein and is an excellent source to produce protein hydrolysates using commercial proteases. In this investigation, the major rice bran proteins, including prolamin, albumin, globulin, and glutelin, were extracted sequentially using the modified Osborne method after raw rice bran (BRRI-Dhan-84) had been defatted. Proteins extracted from rice bran were lyophilized into powder form, and rice bran protein molecular weights were assessed using SDS-PAGE. The rice bran proteins were hydrolyzed under optimal conditions for the three commercial proteases: trypsin, alcalase, and neutrase. Trypsin hydrolyzed glutelin had the highest DPPH (76.445 ± 0.435%) and ABTS+ (99.114 ± 0.491%) radical scavenging activities. Neutrase-digested globulin and albumin exerted the highest α-amylase (77.450 ± 0.550%) and α-glucosidase (65.344 ± 0.736%) inhibitory activities, respectively. Albumin digested by trypsin exhibited the highest ACE (96.227 ± 0.355%) inhibitory activities. Our study suggests that bioactive peptides in the protein hydrolysates, produced through enzymatic hydrolysis, may be responsible for these inhibitory activities. Antioxidant, antidiabetic, and antihypertensive properties of rice bran protein hydrolysates have explored a new window for using them as nutraceuticals, however, further in vivo investigation is needed before human consumption.Article Highlights: Rice bran proteins, when broken down, show potential as natural antioxidants and disease-fighting ingredients. Protein hydrolysates from rice bran may help manage diabetes and high blood pressure. Rice bran protein hydrolysates could be used in nutraceuticals to help manage oxidative stress, diabetes, and hypertension. [ABSTRACT FROM AUTHOR]

Diabetes mellitus (DM) is a chronic disease in which the physiological mechanism by which the body uses glucose for energy is impaired. Glucose is a type of sugar found in the blood. In people with diabetes, the body does not produce enough insulin or does not use insulin effectively. Diabetes mellitus is one of the most progressive chronic diseases of the 21st century. According to the World Health Organization (WHO), in 2020, about 463 million people have established diabetes. In Bulgaria, the number of people with DM is about 600,000, and the trend is towards growth. The most common chronic diseases in Bulgaria are cardiovascular, oncological, respiratory diseases and diabetes. The impact of these chronic diseases on the affected individuals seriously reduces the quality of life in physical, psychological and social aspects. Diabetes mellitus can have a significant impact on the quality of life of patients. Modern medical practice defines the disease as an important risk factor for the development of severe debilitating complications, such as heart disease, stroke, kidney disease, blindness and amputation of limbs, which worsen the quality of life of patients and require significant economic costs. Type 2 diabetes can affect quality of life in a number of ways, such as: • Patients with DM may develop macroangiopathy, resulting in limb amputation or a cardiovascular event. This severely limits their ability to work. • People with DM can develop diabetic retinopathy, which can lead to vision loss. • Patients with DM may develop chronic kidney disease, affecting their quality of life • Patients with DM can develop diabetic neuropathy, which severely limits their ability to work These factors can lead to a significant reduction in quality of life. 170 patients with type 2 diabetes were examined and surveyed, in which we established the frequency of complications of the disease. [ABSTRACT FROM AUTHOR]

Background: This study aimed to identify the potential roles for Community Health Navigators (CHNs) in addressing problems faced by patients on discharge from hospital to the community, and attitudes and factors which may influence their adoption. Methods: Twenty-six qualitative interviews and an online codesign workshop were conducted with patients, nurses, general practice staff, health service managers, community health workers, general practitioners, medical specialists, and pharmacists in the Sydney Local Health District. Qualitative themes from the interviews and workshop transcripts were analysed inductively and subsequently grouped according to a socio-ecological model. Results: CHNs could assist patients to navigate non-clinical problems experienced by patients on discharge through assessing needs, establishing trust, providing social and emotional support that is culturally and linguistically appropriate, engaging family and carers, supporting medication adherence, and helping to arrange and attend follow up health and other appointments. Important factors for the success of the CHNs in the performance and sustainability of their roles were the need to establish effective communication and trust with other healthcare team members, be accepted by patients, have access to information about referral and support services, receive formal recognition of their training and experience, and be supported by appropriate supervision. Conclusions: This study was unique in exploring the potential role of CHNs in addressing problems faced by patients on discharge from Australian hospitals and the factors influencing their adoption. It informed training and supervision needs and further research to evaluate CHNs' effectiveness and the acceptance of their role within the healthcare team. Community health workers have been demonstrated in overseas research to play a key role in supporting patients to prevent hospital readmission. This role is now emerging in Australia especially for vulnerable and disadvantaged groups. This study identifies the key potential roles in the Australian context and the training and supervision required. [ABSTRACT FROM AUTHOR]

Purpose: To examine trends and potential disparities in North Carolina (NC) driving while impaired by alcohol (alcohol-DWI) license suspensions from 2007–2016. Specific objectives included: 1) examining personal (e.g., race/ethnicity) and contextual (e.g., residential segregation) characteristics of alcohol-DWI license suspensions by suspension duration; and 2) examining trends in annual suspension rates by race/ethnicity, sex, and duration. Methods: We linked NC administrative licensing and county-level survey data from several sources from 2007–2016. Suspensions were categorized by duration: 1 to <4 years and 4 years or longer (proxies for initial and repeat suspensions, respectively). We calculated counts, percentages, and suspensions rates (per 1,000 person-years) with 95% confidence intervals, examined trends in annual suspension rates by race/ethnicity, sex, and suspension duration. Results: We identified 220,471 initial and 41,526 repeat license suspensions. Rates among males were three times that of females. 21-24-year-old (rates: 6.9 per 1,000 person-years for initial; 1.5 for repeat) and Black (4.1 for initial; 1.0 for repeat) individuals had the highest suspension rates. We observed decreases in annual initial and repeat suspension rates among males, but only in repeat suspensions for females during the study period. A substantial decrease in annual initial suspension rates was observed among Hispanic individuals relative to other racial/ethnic groups, while annual repeat suspension rates exhibited large decreases for most racial/ethnic groups. The highest overall suspension rates occurred in counties with higher proportions of the population without health insurance and with the highest levels of Black/White residential segregation. Conclusions: Potential disparities by race/ethnicity and sex existed by alcohol-DWI license suspension duration (i.e., initial vs. repeat suspensions) in NC. Contextual characteristics associated with suspensions, including a high degree of residential segregation, may provide indications of underlying structures and mechanisms driving potential disparities in alcohol-DWI outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Cardiometabolic diseases are rapidly becoming primary causes of death in developing countries, including Ghana. However, risk factors for these diseases, including obesity phenotype, and availability of cost-effective diagnostic criteria are poorly documented in an African-ancestry populations in their native locations. The extent to which the environment, occupation, geography, stress, and sleep habits contribute to the development of Cardiometabolic disorders should be examined. Purpose: The overall goal of this study is to determine the prevalence of undiagnosed diabetes, prediabetes, and associated cardiovascular risks using a multi-sampled oral glucose tolerance test. The study will also investigate the phenotype and ocular characteristics of diabetes and prediabetes subgroups, as well as determine if lifestyle changes over a one-year period will impact the progression of diabetes and prediabetes. Methods and analysis: The study employs a community-based quasi- experimental design, making use of pre- and post-intervention data, as well as a questionnaire survey of 1200 individuals residing in the Cape Coast metropolis to ascertain the prevalence and risk factors for undiagnosed diabetes and prediabetes. Physical activity, dietary habits, stress levels, sleep patterns, body image perception, and demographic characteristics will be assessed. Glucose dysregulation will be detected using oral glucose tolerance test, fasting plasma glucose, and glycated hemoglobin. Liver and kidney function will also be assessed. Diabetes and prediabetes will be classified using the American Diabetes Association criteria. Descriptive statistics, including percentages, will be used to determine the prevalence of undiagnosed diabetes and cardiovascular risks. Inferential statistics, including ANOVA, t-tests, chi-square tests, ROC curves, logistic regression, and linear mixed model regression will be used to analyze the phenotypic variations in the population, ocular characteristics, glycemic levels, sensitivity levels of diagnostic tests, etiological cause of diabetes in the population, and effects of lifestyle modifications, respectively. Additionally, t-tests will be used to assess changes in glucose regulation biomarkers after lifestyle modifications. Ethics and dissemination: Ethics approval was granted by the Institutional Review Board of the University of Cape Coast, Ghana (UCCIRB/EXT/2022/27). The findings will be disseminated in community workshops, online learning platforms, academic conferences and submitted to peer-reviewed journals for publication. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to evaluate the association between different levels of physical activity and risk of developing type 2 diabetes (T2D) mellitus among adults with prediabetes in Chinese population. Methods: This prospective population-based cohort study included 12,424 participants (mean [SD] age, 52.8 [16.8] years; 82.2% men) with prediabetes at 2014 survey of the Kailuan study. Physical activity information was collected through the International Physical Activity Questionnaire-Short Form and categorized by metabolic equivalent (MET) of task as low, moderate, and high. Cox regression models were built to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between physical activity levels and incident T2D. Results: During a median follow-up of 3.6 years, 2,207 (17.8%) participants developed T2D. The incident rate of T2D were 55.83/1000, 35.14/1000, and 39.61/1000 person-years in the low, moderate, and high physical activity level group, respectively. Both moderate (HR 0.57, 95% CI 0.49 to 0.67) and high (HR 0.76, 95% CI 0.66 to 0.89) physical activity levels were associated with lower risks of developing T2D compared to low physical activity level (P for trend < 0.001). The association between high physical activity level and T2D was primarily observed in participants without metabolic syndrome (P for interaction < 0.001). Moreover, participants with moderate or high levels of physical activity had significantly decreased fasting blood glucose levels during follow-up when compared to those with low level (P group*time < 0.001). Conclusion: This study suggested that individuals with prediabetes might benefit from moderate and high levels of physical activity. [ABSTRACT FROM AUTHOR]

Background: Rural areas in the United States have been disproportionately burdened with high rates of substance use, mental health challenges, chronic stress, and suicide behaviors. Factors such as a lack of mental health services, decreased accessibility to public health resources, and social isolation contribute to these disparities. The current study explores risk factors to suicidal ideation, using emergency room discharge data from Maryland. Methods: The current study used data from the Healthcare Cost and Utilization Project (HCUP) State Emergency Department Databases (SEDD) from the State of Maryland. Logistic regression was used to assess the association between ICD-10 coded opioid use disorder, alcohol use disorder, cannabis use disorder, major depressive disorder, and the outcome variable of suicidal ideation discharge. We controlled for income, race, age, and gender. Results: Lifetime major depressive disorder diagnosis (odds ration [OR] = 79.30; 95% confidence interval [CI] 51.91-121.15), alcohol use disorder (OR = 6.87; 95% CI 4.97-9.51), opioid use disorder (OR = 5.39; 95% CI 3.63-7.99), and cannabis use disorder (OR = 2.67; 95% CI 1.37-5.18) were all positively associated with suicidal ideation. Conclusions: The study highlights the strong link between prior substance use disorder, depression, and suicidal ideation visit to the emergency room, indicating the need for prevention and intervention, particularly among those in rural areas where the burden of suicidal ideation and chronic stress are high. As health disparities between rural and urban areas further widened during the COVID-19 pandemic, there is an urgent need to address these issues. [ABSTRACT FROM AUTHOR]

Background: Ruralhealthcarehas unique characteristics that affect thedissemination and implementation of evidence-based interventions. Numerous theories, models, and frameworks have been developed to guide implementation of healthcare interventions, though not specific to rural healthcare. The present scoping review sought to identify the theories, models, and frameworks most frequently applied to rural health and propose an approach to rural health research that harnesses selected constructs from these theories, models, and frameworks. This resulting synthesis can serve as a guide to researchers, policy makers, and clinicians seeking to employ commonly used theories, models, and frameworks to rural health. Methods: We used the Scopus abstract indexing service to identify peer-reviewed literature citing one or more of theories, models, or frameworks used in dissemination and implementation research and including the word "rural" in the Title, Abstract, or Keywords. We screened the remaining titles and abstracts to ensure articles met additional inclusion criteria. We conducted a full review of the resulting 172 articles to ensure they identified one or more discrete theory, model, or framework applied to research or quality improvement projects. We extracted the theories, models, and frameworks and categorized these as process models, determinant frameworks, classic theories, or evaluation frameworks. Results: We retained 61 articles of which 28 used RE-AIM, 11 used Community-Based Participatory Research (CBPR) framework, eight used the Consolidated Framework for Implementation Research (CFIR), and six used the integrated-Promoting Action on Research Implementation in Health Services (iPARIHS). Additional theories, models, and frameworks were cited in three or fewer reports in the literature. The 14 theories, models, and frameworks cited in the literature were categorized as seven process models, four determinant frameworks, one evaluation framework, and one classic theory. Conclusions: The RE-AIM framework was the most frequently cited framework in the rural health literature, followed by CBPR, CFIR, and iPARIHS. A notable advantage of RE-AIM in rural healthcare settings is the focus on reach as a specified outcome, given the challenges of engaging a geographically diffuse and often isolated population. We present a rationale for combining the strengths of these theories, models, and frameworks to guide a research agenda specific to rural healthcare research. Systematic Review Registration: https://osf.io/fn2cd/. [ABSTRACT FROM AUTHOR]

Background: Although studies often report the prevalence of obesity, community-based studies reporting the incidence of overweight or obesity in India are scarce. Such incidence data are crucial for improving projections about the future burden of obesity. Methods: A non-concurrent follow-up study was done in 2015 in urban Vellore, Tamil Nadu, among two groups of women aged 30-40 years, with body mass index (BMI) <25 kg/m² (normal) and BMI ≥25 kg/m² (overweight/obese) in 2012, to assess changes in BMI. The sampling frame consisted of 473 women: 209 women with BMI <25 kg/m², and 264 women with BMI ≥25 kg/m², who were part of a cross-sectional survey in 2012. A randomly selected list of 370 women (80% of the original cohort) was used to trace the women. Measurements at follow-up included weight, height, dietary and other risk factors. Results: Of 370 women, 170 (45.9%) were followed up at the end of three years, which included 82 with BMI <25 kg/m² and 88 with BMI >25 kg/m². The incidence of overweight (BMI ≥25 kg/m²) in three years, was 29.2% (24/82), among women with a normal BMI (<25 kg/m²) in 2012. Among the 88 women who were overweight/obese in 2012, there was no regression to normal BMI within the three years of follow-up. There was an association between the incidence of overweight and the intake of carbohydrates (adjusted odds ratios (AORs): 3, 95% confidence interval (CI): 1.04 to 8.63) and protein intake (AOR: 20.0, 95% CI: 2.5 to 158.3). Conclusions: This study found an incidence of nearly one-third (29.2%) of developing high BMI (≥25.0 kg/m²) in 30-40-year-old urban women from Vellore, implying a rapid increase in overweight and obesity among young women. [ABSTRACT FROM AUTHOR]

Background: Adopting a healthy lifestyle and improvements in medical care have led to an increase in life expectancy. Thus, the development and implementation of techniques for assessing healthy lifestyles have garnered more attention recently. Finding and evaluating healthy lifestyle assessment tools across all demographics is the goal of this systematic review. Method: Using online databases PubMed, Scopus, Web of Science, and APA PsycINFO, a systematic literature review was carried out in accordance with Preferred Reporting Items for Systematic Review and Meta‐analyses. Registration DOI https://doi.org/10.17605/OSF.IO/ZD9XK for the review has been set on Open Science Framework (OSF). Using the quality standards proposed for measuring features of health status surveys, two independent reviewers evaluated the methodological quality ratings of the eligible studies. Results: From 7480 studies, 47 eligible instruments were identified and included in the review. Most of the studies followed the World Health Organization's definition of healthy lifestyle to develop the scales. The instruments are categorized into those used to assess general lifestyle or healthy lifestyle in general as well as in the clinical population. Physical activity, nutrition, tobacco use, alcohol use, and stress management were the most assessed modules of healthy lifestyle. Furthermore, validity, reliability, responsiveness, floor and ceiling effects, and interpretability were among the psychometric qualities that were frequently assessed. Conclusion: Lifestyle questionnaires can be used to identify specific risk factors in a variety of populations, as well as to plan community‐based intervention programs, by acting as a predictive diagnostic tool and preventive measure. The majority of the assessments of healthy lifestyles that are currently accessible require improvements. [ABSTRACT FROM AUTHOR]

Objective: Our objective was to explore the influence of health literacy on patient-physician communication. Methods: We conducted a scoping review of academic papers using PRISMA guidelines and guidance from the Joanna Briggs Institute. We explored health literacy competencies in studies by examining methods used to evaluate the effectiveness of patient-physician communication and identifying barriers and facilitators to communication in the broader context of relevant health literacy domains. Results: In total, we identified 51 papers that met inclusion criteria. Barriers to effective patient-physician communication were physicians' lack of understanding of patients' health literacy capacity, changes in healthcare delivery (time constraints and transforming technology due to COVID-19), and language barriers. Facilitators to communication included patient health literacy level, patient trust in the patient-physician relationship leading to decision-making, telehealth/digital health services, health literacy tools, and patient education materials. Conclusion: Future research, policy, and practice should aim for comprehensive assessment of all health literacy domains crucial for patient-physician communication. Delineating health literacy competencies is essential given increasing emphasis on technological resources in healthcare, culturally and linguistically appropriate care in multicultural societies, and addressing service backlogs precipitated by the COVID-19 pandemic. Findings may inform educational programs focused on health literacy. [ABSTRACT FROM AUTHOR]

Comparing health care systems is important for several reasons. E.g. lower-resource health care systems can learn from higher-resource ones, and country-specific progress can be made. Previous rankings of health care systems have been based on objective factors such as the number of available hospital beds or health care spending. An index is considered here that includes a subjective level that is intended to represent access to the health care system. Therefore, this study investigates the divergence between subjective and objective indices related to health care expenditure, with a focus on the influence of involuntary and voluntary payments. Utilizing the Rational Choice Theory as a framework, it explores how individual preferences and perceived benefits affect these indices. The analysis reveals that social insurance contributions, which are mandatory and beyond individual control, are evaluated differently in subjective indices compared to objective indices. This discrepancy is less pronounced for voluntary expenditures, where individuals have decision-making power. The findings highlight significant variations in the correlations between macroeconomic health care indicators and the indices, emphasizing the critical role of autonomy in financial decisions related to health care. [ABSTRACT FROM AUTHOR]

Background: Associations between reproductive factors and risk of breast cancer differ by subtype defined by joint estrogen receptor (ER), progesterone receptor (PR), and HER2 expression status. Racial and ethnic differences in the incidence of breast cancer subtypes suggest etiologic heterogeneity, yet data are limited because most studies have included non-Hispanic White women only. Methods: We analyzed harmonized data for 2,794 breast cancer cases and 4,579 controls, of whom 90% self-identified as African American, Asian American or Hispanic. Questionnaire data were pooled from three population-based studies conducted in California and data on tumor characteristics were obtained from the California Cancer Registry. The study sample included 1,530 luminal A (ER-positive and/or PR-positive, HER2-negative), 442 luminal B (ER-positive and/or PR-positive, HER2-positive), 578 triple-negative (TN; ER-negative, PR-negative, HER2-negative), and 244 HER2-enriched (ER-negative, PR-negative, HER2-positive) cases. We used multivariable unconditional logistic regression models to estimate subtype-specific ORs and 95% confidence intervals associated with parity, breast-feeding, and other reproductive characteristics by menopausal status and race and ethnicity. Results: Subtype-specific associations with reproductive factors revealed some notable differences by menopausal status and race and ethnicity. Specifically, higher parity without breast-feeding was associated with higher risk of luminal A and TN subtypes among premenopausal African American women. In contrast, among Asian American and Hispanic women, regardless of menopausal status, higher parity with a breast-feeding history was associated with lower risk of luminal A subtype. Among premenopausal women only, luminal A subtype was associated with older age at first full-term pregnancy (FTP), longer interval between menarche and first FTP, and shorter interval since last FTP, with similar OR estimates across the three racial and ethnic groups. Conclusions: Subtype-specific associations with reproductive factors overall and by menopausal status, and race and ethnicity, showed some differences, underscoring that understanding etiologic heterogeneity in racially and ethnically diverse study samples is essential. Breast-feeding is likely the only reproductive factor that is potentially modifiable. Targeted efforts to promote and facilitate breast-feeding could help mitigate the adverse effects of higher parity among premenopausal African American women. [ABSTRACT FROM AUTHOR]

Background: Prediabetes is a highly prevalent condition that heralds an increased risk of progression to type 2 diabetes, along with associated microvascular and macrovascular complications. The Diabetes Prevention Program (DPP) is an established effective intervention for diabetes prevention. However, participation in this 12-month lifestyle change program has historically been low. Digital DPPs have emerged as a scalable alternative, accessible asynchronously and recognized by the Centers for Disease Control and Prevention (CDC). Yet, most digital programs still incorporate human coaching, potentially limiting scalability. Furthermore, existing effectiveness results of digital DPPs are primarily derived from per protocol, longitudinal non-randomized studies, or comparisons to control groups that do not represent the standard of care DPP. The potential of an AI-powered DPP as an alternative to the DPP is yet to be investigated. We propose a randomized controlled trial (RCT) to directly compare these two approaches. Methods: This open-label, multicenter, non-inferiority RCT will compare the effectiveness of a fully automated AI-powered digital DPP (ai-DPP) with a standard of care human coach-based DPP (h-DPP). A total of 368 participants with elevated body mass index (BMI) and prediabetes will be randomized equally to the ai-DPP (smartphone app and Bluetooth-enabled body weight scale) or h-DPP (referral to a CDC recognized DPP). The primary endpoint, assessed at 12 months, is the achievement of the CDC’s benchmark for type 2 diabetes risk reduction, defined as any of the following: at least 5% weight loss, at least 4% weight loss and at least 150 min per week on average of physical activity, or at least a 0.2-point reduction in hemoglobin A1C. Physical activity will be objectively measured using serial actigraphy at baseline and at 1-month intervals throughout the trial. Secondary endpoints, evaluated at 6 and 12 months, will include changes in A1C, weight, physical activity measures, program engagement, and cost-effectiveness. Participants include adults aged 18–75 years with laboratory confirmed prediabetes, a BMI of ≥ 25 kg/m2 (≥ 23 kg/m2 for Asians), English proficiency, and smartphone users. This U.S. study is conducted at Johns Hopkins Medicine in Baltimore, MD, and Reading Hospital (Tower Health) in Reading, PA. Discussion: Prediabetes is a significant public health issue, necessitating scalable interventions for the millions affected. Our pragmatic clinical trial is unique in directly comparing a fully automated AI-powered approach without direct human coach interaction. If proven effective, it could be a scalable, cost-effective strategy. This trial will offer vital insights into both AI and human coach-based behavioral change strategies in real-world clinical settings. Trial registration: ClinicalTrials.gov NCT05056376. Registered on September 24, 2021, [ABSTRACT FROM AUTHOR]

Introduction: Stroke is a significant global health concern, and numerous studies have established a link between depression and an increased risk of stroke. While many investigations explore this link, some overlook its long-term effects. Depression may elevate stroke risk through physiological pathways involving nervous system changes and inflammation. This systematic review and meta-analysis aimed to assess the association between depression and stroke. Methodology: We conducted a comprehensive search of electronic databases (PubMed, Embase, Scopus, and PsycINFO) from inception to 9 April 2023, following the Preferred Reporting Items for Systemic Review and Meta-analysis (PRISMA) and Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. We included all articles assessing the association between different stroke types and depression, excluding post-stroke depression. Two investigators independently extracted data and assessed quality using the Newcastle-Ottawa Scale and Cochrane Risk of Bias tool, utilizing a random-effects model for data synthesis. The primary outcome was the association of depression with stroke, with a secondary focus on the association of antidepressants with stroke. Results: The initial search yielded 10,091 articles, and 44 studies were included in the meta-analysis. The pooled analysis revealed a significant association between depression and stroke risk, with an overall hazard ratio of 1.41 (95% CI 1.32, 1.50; p<0.00001), indicating a moderately positive effect size. Subgroup analyses showed consistent associations with ischemic stroke (HR=1.30, 95% CI 1.13, 1.50; p=0.007), fatal stroke (HR=1.39, 95% CI 1.24, 1.55; p<0.000001), and hemorrhagic stroke (HR=1.33, 95% CI 1.01, 1.76; p=0.04). The use of antidepressants was associated with an elevated risk of stroke (HR=1.28, 95% CI 1.05, 1.55; p=0.01). Conclusion and relevance: This meta-analysis indicates that depression moderately raises the risk of stroke. Given the severe consequences of stroke in individuals with depression, early detection and intervention should be prioritized to prevent it. Systematic review registration: Prospero (CRD42023472136). [ABSTRACT FROM AUTHOR]

This document summarizes a study conducted in India that examines the relationship between serum orexin levels and various metabolic markers in women of reproductive age. The study found that there is a positive correlation between serum orexin levels and weight, BMI, waist circumference, and serum glucose levels. However, there is a weak negative correlation between serum orexin levels and serum insulin levels. The study suggests that orexin neuropeptide may be involved in the development of metabolic syndrome and that orexin antagonists could potentially be used as a treatment for metabolic disorders. The study acknowledges its limitations and recommends further research with a larger sample size. [Extracted from the article]

Individual-level assessment of health and well-being permits analysis of community well-being and health risk evaluations across several dimensions of health. It also enables comparison and rankings of reported health and well-being for large geographical areas such as states, metropolitan areas, and counties. However, there is large variation in reported well-being within such large spatial units underscoring the importance of analyzing well-being at more granular levels, such as ZIP codes. In this paper, we address this problem by modeling well-being data to generate ZIP code tabulation area (ZCTA)-level rankings through spatially informed statistical modeling. We build regression models for individual-level overall well-being index and scores from five subscales (Physical, Financial, Social, Community, Purpose) using individual-level demographic characteristics as predictors while including a ZCTA-level spatial effect. The ZCTA neighborhood information is incorporated by using a graph Laplacian matrix; this enables estimation of the effect of a ZCTA on well-being using individual-level data from that ZCTA as well as by borrowing information from neighboring ZCTAs. We deploy our model on well-being data for the U.S. states of Massachusetts and Georgia. We find that our model can capture the effects of demographic features while also offering spatial effect estimates for all ZCTAs, including ones with no observations, under certain conditions. These spatial effect estimates provide community health and well-being rankings of ZCTAs, and our method can be deployed more generally to model other outcomes that are spatially dependent as well as data from other states or groups of states. [ABSTRACT FROM AUTHOR]

The term prediabetes describes blood glucose levels above the normal range but below the threshold to diagnose type 2 diabetes. Several population health initiatives encourage a test and treat approach for prediabetes. In this approach, screening and identification of individuals with prediabetes should be followed by prompt referral to structured lifestyle modification programs or pharmacologic interventions that have been shown to prevent or delay the progression to type 2 diabetes in clinical trials. Here we provide a critical review of evidence for this test and treat approach by examining health outcomes associated with prediabetes and the availability and effectiveness of lifestyle modification approaches that target prediabetes. We also describe current limitations to the reach and uptake of evidence-based treatment options for prediabetes. Finally, we highlight lessons learned from identifying and labeling other preconditions to consider challenges and opportunities that may arise with increasing awareness of prediabetes as part of routine preventive care. [ABSTRACT FROM AUTHOR]

Copyright of Annals of African Medicine is the property of Wolters Kluwer India Pvt Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

6357437865112 dci240057video1 Video 1. This image is from a video available online at https://bcove.video/3WedKuq. American Diabetes Association 84th Scientific Sessions: SELECT Trial—New Looks at Glycemia, Inflammation, and Heart Failure. [ABSTRACT FROM AUTHOR]

Background: Limited evidence exists on the role of depression in the risk of developing stroke and other cardiovascular outcomes in patients who have undergone percutaneous coronary interventions (PCI). We investigated this relationship with data from the Korean National Health Insurance Service database., Methods: Our nationwide retrospective cohort study included 164,198 patients who had undergone PCI between 2010 and 2017. Depression was defined with the ICD-10 codes recorded prior to the PCI. The primary outcome was a new-onset stroke following the PCI. Secondary outcomes included PCI with myocardial infarction (MI), revascularization (PCI or coronary artery bypass grafting), and all-cause mortality. A multivariable Cox proportional hazards regression analysis was used to calculate adjusted hazard ratios (aHR) and 95% confidence intervals (CI), adjusting for potential confounders, including sociodemographic and lifestyle factors, comorbidities, and MI at the index PCI., Results: Over a median follow-up of 5.0 years, acute stroke occurred in 5.7% of patients with pre-existing depression (17.4% of the study population), compared to 3.5% of those without depression. Depression was associated with a 27% increased risk of acute stroke (aHR 1.27, 95% CI 1.20-1.35). Additionally, depression was linked with a 25% elevated risk of all-cause death (aHR 1.25, 95% CI, 1.21-1.29) and an 8% increased risk of revascularization (aHR 1.08, 95% CI 1.04-1.11). The associations with the risk of stroke and all-cause mortality were stronger in patients under 65 years., Conclusions: Our findings suggest that pre-existing depression may increase the risk of stroke and all-cause mortality following PCI, particularly in patients under 65 years. Additionally, depression was significantly associated with an increased need for revascularization. This underscores the potential benefits of managing depression to reduce stroke risk and overall cardiovascular outcomes following PCI., (© 2024 The Association for the Publication of the Journal of Internal Medicine.)

Purpose: Breast cancer mortality has significantly declined in the U.S. due in part to effective clinical screening methods. However, previous studies have found many women first detect their breast cancers through means other than their providers. Given that detection method has been shown to be an important prognostic factor, we examined the association between breast cancer detection method and various demographic and health-related factors in a representative sample of female breast cancer patients aged 40 + in California., Methods: We analyzed data from the 2009 and 2011-2012 California Health Interview Survey. Weighted percentages of breast cancer patients by detection method were calculated. A multivariable logistic regression model was used to quantify each factor's association with the likelihood of having a patient-detected versus clinically detected breast cancer using odds ratios (ORs) and 95% confidence intervals (CIs)., Results: 36% of female breast cancer patients first detected their cancer themselves. Compared to U.S.-born women, those who had spent 40% or less of their lifetime in the U.S. were more than twice as likely to report their breast cancer being patient-detected versus clinically detected (OR = 2.27, 95% CI 1.06-4.86, p = 0.035). Rural women were also more likely to report a patient-detected breast cancer than urban women (OR = 1.51, 95% CI 1.01-2.11, p = 0.044)., Conclusions: Recent immigrants and those residing in rural areas were more likely to report self-detecting their breast cancer. Given the persistent disparities with regard to breast cancer mortality, particularly among underserved communities, strategies addressing barriers to screening uptake in these populations may be warranted., Competing Interests: Declarations Competing interests The authors declare no competing interests. Ethics approval The data used in this analysis were de-identified and publicly available, hence the work presented here was considered exempt from Institutional Review Board review. Consent to participate Based on the methodology used by the California Health Interview Survey, all respondents provided verbal informed consent prior to survey administration. Consent to publish Not applicable., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Previous studies have shown that lifestyle was associated with depression. Thus, the aim of this study was to examine the causality between multiple lifestyles and depression by Mendelian randomization (MR) analysis. Methods: The single-nucleotide polymorphisms (SNPs) of depression, alcoholic drinks per week, sleeplessness or insomnia, body mass index (BMI), mood swings, weekly usage of mobile phone in the last 3 months, beef intake, cooked vegetable intake, and “smoking status: never” were acquired from the Integrative Epidemiology Unit Open genome-wide association study database. Causal effects of eight exposure factors and depression were investigated using MR-Egger, weighted median, inverse variance weighted (IVW), simple mode, and weighted mode, and results were primarily referred to IVW. Subsequently, univariable MR (UVMR) analysis was performed on eight exposure factors and depression, separately. In addition, sensitivity analysis, including heterogeneity test, horizontal pleiotropy, and leave-one-out (LOO) methods, was conducted to evaluate the stability of MR results. Furthermore, multivariable MR (MVMR) analysis was carried out. Results: UVMR analysis revealed that all eight exposure factors were causally associated with depression; alcoholic drinks per week, sleeplessness or insomnia, BMI, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake were risk factors, and beef intake and “smoking status: never” were protection factors. Heterogeneity tests revealed no heterogeneity for alcoholic drinks per week, sleeplessness or insomnia, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake. Meanwhile, there was no horizontal pleiotropy in UVMR, and LOO analysis verified that univariable analysis results were reliable. Moreover, MVMR analysis indicated that mood swings and weekly usage of mobile phone in the last 3 months were risk factors, and beef intake was a protection factor for depression when multiple factors occurred at the same time. Conclusion: Alcoholic drinks per week, sleeplessness or insomnia, BMI, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake were risk factors, and beef intake and “smoking status: never” were protection factors. In addition, mood swings, weekly usage of mobile phone in the last 3 months, and beef intake had a direct effect on depression when multiple factors occurred simultaneously. [ABSTRACT FROM AUTHOR]

Background While the social determinants of health (SDOH) have a greater impact on individual health outcomes than the healthcare services a person receives, healthcare providers face barriers to addressing these factors in clinical settings. Previous studies have shown that providers often lack the necessary knowledge and resources to adequately screen for and otherwise assist patients with unmet social needs. This study explores the perceptions and behaviors related to SDOH among healthcare providers in the United States (US). Methods This cross-sectional study analyzed data from a 22-item online survey using Reaction Data’s research platform of healthcare professionals in the US. Survey items included demographic questions as well as Likert scale questions about healthcare providers’ perceptions and behaviors related to SDOH. Descriptive statistics were calculated, and further analyses were conducted using t-tests and analysis of variance. Results A total of 563 respondents completed the survey, with the majority being male (72.6%), White (81%), and located in urban areas (82.2%). In terms of perceptions, most providers agreed or strongly agreed that SDOH affect the health outcomes of all patients (68.5%), while only 24.1% agreed or strongly agreed that their healthcare setting was set up to address SDOH. In terms of behavior, fewer than half currently screened for SDOH (48.6%) or addressed (42.7%) SDOH in other ways. Most providers (55.7%) wanted additional resources to focus on SDOH. Statistical analyses showed significant differences by gender, with females being more likely than males to prioritize SDOH, and by specialty, with psychiatrists, pediatricians, and family/general medicine practitioners being more likely to prioritize SDOH. Conclusion Most healthcare providers understand the connection between unmet social needs and their patients’ health, but they also feel limited in their ability to address these issues. Ongoing efforts to improve medical education and shift the healthcare system to allow for payment and delivery of more holistic care that considers SDOH will likely provide new opportunities for healthcare providers. In addition to what they can do at the institutional and patient evels, providers have the potential to advocate for policy and system changes at the societal level that can better address the root causes of social issues. [ABSTRACT FROM AUTHOR]

Purpose: Geographic access to physicians has been shown to be unevenly distributed in the USA, with those in closer proximity having superior outcomes. The purpose of this study was to describe how geographic access to pediatric neurosurgeons varies across socioeconomic and demographic factors. Methods: Actively practicing neurosurgeons were identified by matching several registries and membership logs. This data was used to find their primary practice locations and the distance the average person in a county must travel to visit a surgeon. Counties were categorized into "surgeon deserts" and "surgeon clusters," which were counties where providers were significantly further or closer to its residents, respectively, compared to the national average. These groups were also compared for differences in population characteristics using data obtained from the 2020 American Community Survey. Results: A total of 439 pediatric neurosurgeons were identified. The average person in a surgeon desert and cluster was found to be 189.2 ± 78.1 miles and 39.7 ± 19.6 miles away from the nearest pediatric neurosurgeon, respectively. Multivariate analyses showed that higher Rural–Urban Continuum (RUC) codes (p < 0.001), and higher percentages of American Indian (p < 0.001) and Hispanic (p < 0.001) residents were independently associated with counties where the average person traveled significantly further to surgeons. Conclusion: Patients residing in counties with greater RUC codes and higher percentages of American Indian and Hispanic residents on average need to travel significantly greater distances to access pediatric neurosurgeons. [ABSTRACT FROM AUTHOR]

Copyright of Medical Gazette / Medicinski Glasnik is the property of Specijalna bolnica za bolesti stitaste zlezde i bolesti metabolizma Zlatibor and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: There is a broad array of health equity policy actions that may be important for addressing social determinants of obesity. The objective of this study was to identify local policy actions most salient for addressing health equity among practitioners, policymakers, and researchers active in obesity. Methods: We surveyed 195 participants in August-November 2020, including US public health practitioners, local policymakers, and researchers active in obesity policy or health equity. We asked them to select the most important health equity policy actions and rate them for potential impact and feasibility. Results: Living wage and access to early education scored highly across 3 dimensions of importance, potential impact, and feasibility among 3 of the 4 groups -- local public service employees and policymakers, academics, and others. Local public service employees and policymakers also rated expanded childcare and job/skills training programs highly across all 3 dimensions. Respondents rated policy actions higher for potential impact than feasibility. Conclusions: We present novel, timely findings for prioritizing health equity policy actions for addressing obesity at the local level. Several policy actions not typically considered in obesity research were identified as salient by groups relevant to local obesity policymaking. [ABSTRACT FROM AUTHOR]

Purpose: Lesbian, gay, bisexual, transgender, queer, and other sexual and gender diverse (LGBTQ+) individuals experience disparities in cancer screening. We examined whether experience of LGBTQ+ -related discrimination in medical settings was associated with cancer screening disparities., Methods: Participants were recruited via social media for a cross-sectional survey study. Those who self-reported as LGBTQ+ , being 40+ years of age, and residing in the US were eligible. Participants reported their clinical and demographic characteristics, cancer screening history, and experiences of discrimination in a medical setting. We examined the odds (OR) of ever undergoing cancer screening by experienced discrimination, stratified by sex assigned at birth., Results: Participants (n = 310) were on average 54.4 ± 9.0 years old and primarily White (92.9%). Most identified as lesbian (38.1%) or gay (40.0%) while 17.1% were transgender or gender diverse. Nearly half (45.5%) reported experiencing LGBTQ+ -related discrimination in the medical setting. Participants assigned female at birth with discriminatory experiences had significantly lower odds of ever undergoing colonoscopy/sigmoidoscopy compared to those without discriminatory experiences (OR: 0.37; 95% Confidence Interval (CI) 0.15-0.90). No significant differences in colonoscopy/sigmoidoscopy uptake were observed in those assigned male at birth by discriminatory experiences (OR: 2.02; 95% CI 0.59-6.91). Pap tests, mammogram, and stool colorectal cancer screening did not differ by discriminatory experience., Conclusion: Discrimination in medical settings was commonly reported by LGBTQ+ individuals in this study. When treating LGBTQ+ patients, clinicians should ask about prior experiences and continue to promote cancer screening. Future studies should examine discrimination as a key driver of LGBTQ+ disparities in cancer screening., (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)