Nanobiosensor-based diagnostic tools in viral infections: Special emphasis on Covid-19.

The rapid propagation of novel human coronavirus 2019 and its emergence as a pandemic raising morbidity calls for taking more appropriate measures for rapid improvement of present diagnostic techniques which are time-consuming, labour-intensive and non-portable. In this scenario, biosensors can be considered as a means to outmatch customary techniques and deliver point-of-care diagnostics for many diseases in a much better way owing to their speed, cost-effectiveness, accuracy, sensitivity and selectivity. Besides this, these biosensors have been aptly used to detect a wide spectrum of viruses thus facilitating timely delivery of correct therapy. The present review is an attempt to analyse such different kinds of biosensors that have been implemented for virus detection. Recently, the field of nanotechnology has given a great push to diagnostic techniques by the development of smart and miniaturised nanobiosensors which have enhanced the diagnostic procedure and taken it to a new level. The portability, hardiness and affordability of nanobiosensor make them an apt diagnostic agent for different kinds of viruses including SARS-CoV-2. The role of such novel nanobiosensors in the diagnosis of SARS-CoV-2 has also been addressed comprehensively in the present review. Along with this, the challenges and future position of developing such ultrasensitive nanobiosensors which should be taken into consideration before declaring these nano-weapons as the ideal futuristic gold standard of diagnosis has also been accounted for here.

A theoretical model of college students' sleep quality and health-related quality of life.

Poor sleep confers significant morbidities and is highly prevalent among college students in the United States. This research assessed sleep quality and its association with health-related quality of life (HRQOL). Further, because sleep quality research often lacks a theoretical foundation, we applied a theoretical model using selected constructs from the Theory of Planned Behavior (TPB) and Health Belief Model (HBM). A random, stratified sample of undergraduate students participated in an online survey (N = 494). Structural equation modeling assessed the association between theoretical constructs, sleep quality, and HRQOL. The final model fit was acceptable, with ~ 20% of the variance in sleep quality explained by the theoretical constructs and control variables. HBM constructs were indirectly and negatively related to sleep quality, mediated through behavioral intention, and also positively and directly associated with behavioral intention. Behavioral intention was strongly and negatively associated with sleep quality. Approximately 31% of the variance in HRQOL was explained by poor sleep quality, behavioral intention, and gender. Poor sleep was most strongly associated with reduced HRQOL. HBM constructs and behavioral intention from TPB were significantly associated with poor sleep quality, and poor sleep was significantly related to poor HRQOL.

Hypoxia responsive phytonanotheranostics: A novel paradigm towards fighting cancer.

Hypoxia enhances tumor aggressiveness, thereby reducing the efficacy of anticancer therapies. Phytomedicine, which is nowadays considered as the new panacea owing to its dynamic physiological properties, is often plagued by shortcomings. Incorporating these wonder drugs in nanoparticles (phytonanomedicine) for hypoxia therapy is a new prospect in the direction of cancer management. Similarly, the concept of phytonanotheranostics for the precise tumor lesion detection and treatment monitoring in the hypoxic scenario is going on a rampant speed. In the same line, smart nanoparticles which step in for "on-demand" drug release based on internal or external stimuli are also being explored as a new tool for cancer management. However, studies regarding these smart and tailor-made nanotheranostics in the hypoxic tumor microenvironment are very limited. The present review is an attempt to collate these smart stimuli-responsive phytonanotherapeutics in one place for initiating future research in this upcoming field for better cancer treatment.

Building Collective Efficacy to Support Public Health Workforce Development.

CONTEXT: Leaders in public health have made great advances in workforce development over the past 30 years, while shifting from an emphasis based in training on individual, technical skills to a more holistic development approach, which boosts crosscutting skills. Efforts to increase public health workforce capabilities remain focused on workers as individuals, rather than the workforce as a collective unit. PROGRAM: Research has shown that a strategic adult learning approach can improve both individual capabilities and the collective performance of the workforce, which can be explained using social cognitive theory and the concept of collective efficacy, or the collective belief of workers in the ability of the group to succeed. We explain how a prior training program pushed us to explore this approach. IMPLEMENTATION: The proposed approach covers proposed implementation strategies to build collective efficacy as part of existing workforce development initiatives, with a focus on 5 key steps. EVALUATION: Experience in fields as diverse as sports psychology and organizational development has shown that it is possible to evaluate changes in collective efficacy using measures that can be adopted in public health. DISCUSSION: Adjusting existing public health workforce development initiatives to build collective efficacy can help link workforce self-confidence to performance. More actionable data are needed to determine the best methods for achieving those goals in the field of public health.

Geographic variation in amputation rates among patients with diabetes and/or peripheral arterial disease in the rural state of West Virginia identifies areas for improved care.

OBJECTIVE: Amputation is a devastating but preventable complication of diabetes and peripheral arterial disease (PAD). Multiple studies have focused on disparities in amputation rates based on race and socioeconomic status, but few focus on amputation trends in rural populations. The objective of this study was to identify the prevalence of major and minor amputation among patients admitted with diabetes and/or PAD in a rural, Appalachian state, and to identify geographic areas with higher than expected major and minor amputations using advanced spatial analysis while controlling for comorbidities and rurality. METHODS: Patient hospital admissions of West Virginia residents with diagnoses of diabetes and/or PAD and with or without an amputation procedure were identified from the West Virginia Health Care Authority State Inpatient Database from 2011 to 2016 using relevant International Classification of Diseases, 9th edition and 10the edition codes. Bayesian spatial hierarchical modeling was conducted to identify areas of high risk, while controlling for important confounders for amputation. RESULTS: Overall, there were 5557 amputations among 459,452 hospital admissions with diabetes and/or PAD from 2011 to 2016. The majority of the amputations were minor (61.7%; n = 3430), with a prevalence of 7.5 per 1000 and 40.4% (n = 2248) were major, with a prevalence of 4.9 per 1000. Geographic analysis found significant variation in risk for both major and minor amputation across the state, even after adjusting for the prevalence of risk factors. Analyses indicated an increased risk of amputation in the central and northeastern regions of West Virginia at the county level, although zip code-level patterns of amputation varied, with high-risk areas identified primarily in the northeastern and south central regions of the state. CONCLUSIONS: There is significant geographic variation in risk of amputation across West Virginia, even after adjusting for disease-related risk factors, suggesting priority areas for further investigation. The level of granularity obtained using advanced spatial analyses rather than traditional methods demonstrate the value of this approach, particularly when risk estimates are used to inform policy or public health intervention.

The effect of rurality on the risk of primary amputation is amplified by race.

OBJECTIVE: Primary amputation (ie, without attempted revascularization) is a devastating complication of peripheral artery disease. Racial disparities in primary amputation have been described; however, rural disparities have not been well investigated. The purpose of this study was to examine the impact of rurality on risk of primary amputation and to explore the effect of race on this relationship. METHODS: The national Vascular Quality Initiative amputation data set was used for analyses (N = 6795). The outcome of interest was primary amputation. Independent variables were race/ethnicity (non-Latinx whites vs nonwhites) and rural residence. Multivariable logistic regression examined impact of rurality and race/ethnicity on primary amputation after adjustment for relevant covariates and included an interaction for race/ethnicity by rural status. RESULTS: Primary amputation occurred in 49% of patients overall (n = 3332), in 47% of rural vs 49% of urban patients (P = .322), and in 46% of whites vs 53% of nonwhites (P < .001). On multivariable analysis, nonwhites had a 21% higher odds of undergoing primary amputation overall (adjusted odds ratio [AOR], 1.21; 95% confidence interval [CI], 1.05-1.39). On subgroup analysis, rural nonwhites had two times higher odds of undergoing primary amputation than rural whites (AOR, 2.06; 95% CI, 1.53-2.78) and a 52% higher odds of undergoing primary amputation than urban nonwhites (AOR, 1.52; 95% CI, 1.19-1.94). In the urban setting, nonwhites had a 21% higher odds of undergoing primary amputation than urban whites (AOR, 1.21; 95% CI, 1.05-1.39). CONCLUSIONS: In these analyses, rurality was associated with greater odds for primary amputation in nonwhite patients but not in white patients. The effect of race on primary amputation was significant in both urban and rural settings; however, the effect was significantly stronger in rural settings. These findings suggest that race/ethnicity has a compounding effect on rural health disparities and that strategies to improve health of rural communities need to consider the particular needs of nonwhite residents to reduce disparities.

A model exploring the relationship between nutrition knowledge, behavior, diabetes self-management and outcomes from the dining with diabetes program.

To examine the relationship between changes in participant's knowledge, beliefs, dietary behavior, diabetes self-management and program outcomes in West Virginia Dinning with Diabetes (DWD) program. We used a longitudinal pre-test and post-test study design and data from 2745 individuals with diabetes who participated from 2007 to 2012. The DWD was offered in community-based settings across the state as an educational program (five classes over a 3-month period). Associations between changes in the variables were examined by structural equation modeling using a path model in which changes in nutritional knowledge, beliefs and depression predicted changes in dietary behaviors and diabetes self-management which subsequently predicted program outcomes (e.g., follow-up with healthcare providers for diabetes care and education). Standardized regression weights are presented. Participant's mean age and duration of diabetes was 63 ± 11.5 and 7.2 ± 8.0 years, respectively. The majority were females, Whites and with less than high school education. Improvements in nutrition knowledge and belief predicted improvements in dietary behavior (ß = 0.60, p < .001 and ß = 0.11, p < .001, respectively) and diabetes self-management (ß = 0.61, p < .001 and ß = 0.10, p < .001, respectively) which in turn predicted improvements in program outcome (ß = 0.41, p < .001). Diabetes self-management mediated the relationship between knowledge, dietary behavior and program outcomes. The indexes of fit for the tested model indicated a good fit [TLI =0.99, CFI = 0.95, and Root Mean Square Error of Approximation (RMSEA) =0.05]. Results indicate DWD group sessions can be effective in supporting individuals with diabetes to change knowledge, dietary behaviors, adherence to self-management and follow-up provider visits for diabetes care.

Association Between Nonmedical Use of Prescription Drugs and Sleep Quality in a Large College Student Sample.

Objective/Background: Poor sleep and nonmedical use (NMU) of prescription drugs (NMUPD) are both common among college students. Since lack of sleep adversely influences academic performance, this study examined the association between NMUPD and subjective sleep quality among college students. Participants: Students who completed the American College Health Association-National College Health Assessment data (Fall 2010, Spring 2011; N = 135,874). Methods: Associations were examined between NMUPD in four classes over the past 12 months (antidepressant, painkillers, sedatives, and stimulants), and five aspects of sleep quality (Enough Sleep, Early Awakening, Daytime Sleepiness, Difficulty Falling Asleep, and Problem With Daytime Sleepiness) in the past seven days. Results: Any NMUPD (at least one class), NMU of stimulants specifically, and NMU of painkillers specifically were associated with getting fewer days of Enough Sleep (OR: 0.86, 0.93, and 0.84 respectively), more days of Early Awakening (OR: 1.28, 1.10, and 1.28 respectively), Daytime Sleepiness (OR: 1.23, 1.13, and 1.16 respectively), and Difficulty Falling Asleep (OR:1.32, 1.10, and 1.27 respectively; p < .0001, each). NMU of sedatives was significantly associated with having Problem With Daytime Sleepiness (OR: 1.10), more days of Early Awakening (OR: 1.12), and Difficulty Falling Asleep (OR: 1.17; p < .0001). Conclusions: NMUPD is associated with poor sleep among college students. Therefore, behavioral medicine screening and treatment of this vulnerable population should consider sleep health, NMUPD, and the potential that these problems may be comorbid.

Metabolic Syndrome Among Asian Indians in the United States.

INTRODUCTION: Metabolic syndrome (MetS), a clustering of cardiometabolic risk factors of type 2 diabetes and cardiovascular disease, disproportionately affects Asian Indians (AIs). We examined prevalence of MetS using 3 ethnicity-specific MetS criteria among immigrant AIs in the United States. We also examined associations between MetS and health promotion behaviors. OBJECTIVE: To present MetS prevalence estimates by the 3 ethnicity-specific criteria and investigate differences in health promotion behaviors among AIs with and without MetS to highlight the critical need for lifestyle modification strategies for this population. DESIGN: We analyzed data from a national cross-sectional study of 1037 AIs in the United States (2004-2006). We used the consensus criteria, International Diabetes Federation criteria, and modified criteria to estimate MetS prevalence. The Health Promotion Lifestyle Profile II scale measured health promotion behaviors. Bioclinical data (fasting blood glucose, triglyceride levels) were collected. Directed acyclic graphs and Likelihood Ratio Test assisted with model selection. Multiple imputation inference incorporated uncertainty due to missing data and made use of all available data. Adjusted multivariable logistic regression analysis tested for associations. RESULTS: Out of all participants, 40.3% met the consensus criteria, 34.8% met the International Diabetes Federation criteria, and 52.5% met the modified criteria. We found no statistically significant associations between engagement in health promotion measures and the prevalence of MetS and its criteria. CONCLUSION: Our study confirmed the high prevalence of MetS in the immigrant AI population in the United States. Our results showed that AIs with MetS did not exhibit an increased level of engagement in health promotion behaviors. We recommend continued refining of criteria for diagnosis and culturally suitable, age-appropriate strategies to increase engagement in healthier lifestyles among this high-risk population.

Red Meat Consumption (Heme Iron Intake) and Risk for Diabetes and Comorbidities?

PURPOSE OF REVIEW: To examine the role of red meat consumption, especially heme iron intake, and risk for diabetes and its comorbidities. RECENT FINDINGS: Studies consistently show that consumption of red meat has been contributory to a multitude of chronic conditions such as diabetes, CVD, and malignancies. There are various emerging reasons that strengthen this link-from the basic constituents of red meat like the heme iron component, the metabolic reactions that take place after consumption, and finally to the methods used to cook it. The causative links show that even occasional use raises the risk of T2DM. Prior studies show how nitrites and nitrates in red meat can lead to increased insulin resistance, dysregulated blood glucose levels, and elevated oxidative stress all leading to chronic diseases. With the rise in these preventable chronic diseases, we examine how disease-causing links can be eliminated with appropriate lifestyle choices.

Guided imagery targeting exercise, food cravings, and stress: a multi-modal randomized feasibility trial.

The purpose of this randomized wait-list controlled trial was to test the feasibility and preliminary efficacy of a guided imagery based multi-behavior intervention intended to address psychological stress, food cravings, and physical activity. Personalized guided imagery scripts were created and participants were instructed to practice guided imagery every day for 35 consecutive days. Of 48 women who enrolled, we report comparisons between 16 randomized to treatment with 19 who were wait-listed (overall Mage = 45.50; Mbodymassindex = 31.43). Study completers reported 89% compliance with practicing guided imagery during the intervention. A significant time-by-group interaction was observed with reductions in food cravings and increases in physical activity compared with wait-list controls. Telephone-based multi-behavior interventions that utilize guided imagery to address food cravings and exercise behavior appear to be acceptable for overweight and obese women. Future phone-based guided imagery research testing this skill to address multiple health behaviors is justified.

Perceived discrimination and health outcomes among Asian Indians in the United States.

BACKGROUND: Perceived interpersonal discrimination while seeking healthcare services is associated with poor physical and mental health. Yet, there is a paucity of research among Asian Americans or its subgroups. This study examined the correlates of reported interpersonal discrimination when seeking health care among a large sample of Asian Indians, the 3rd largest Asian American subgroup in the US, and identify predictors of adverse self-rated physical health, a well-accepted measure of overall health status. METHODS: Cross-sectional survey. Participants comprised of 1824 Asian Indian adults in six states with higher concentration of Asian Indians. RESULTS: Mean age and years lived in the US was 45.7 ± 12.8 and 16.6 ± 11.1 years respectively. The majority of the respondents was male, immigrants, college graduates, and had access to care. Perceived interpersonal discrimination when seeking health care was reported by a relatively small proportion of the population (7.2 %). However, Asian Indians who reported poor self-rated health were approximately twice as likely to perceived discrimination when seeking care as compared to those in good or excellent health status (OR 1.88; 95 % CI 1.12-3.14). Poor self-rated health was associated with perceived health care discrimination after controlling for all of the respondent characteristics (OR 1.93; 95 % CI: 1.17-3.19). In addition, Asian Indians who lived for more than 10 years in the U.S. (OR 3.28; 95 % CI: 1.73-6.22) and had chronic illnesses (OR 1.39; 95 % CI: 1.17-1.64) (p < 0.05) were more likely to perceive discrimination when seeking health care. However, older Asian Indians, over the age of 55 years, were less likely to perceive discrimination than those aged 18-34 years Indian American. CONCLUSION: Results offers initial support for the hypothesis that Asian Indians experience interpersonal discrimination when seeking health care services and that these experiences may be related to poor self-rated health status.

Red blood cells based nanotheranostics: A smart biomimetic approach for fighting against cancer.

The technique of engineering drug delivery vehicles continues to develop, which bring enhancements in working more efficiently and minimizing side effects to make it more effective and safer. The intense capability of therapeutic agents to remain undamaged in a harsh extracellular environment is helpful to the success of drug development efforts. With this in mind, alterations of biopharmaceuticals with enhanced stability and decreased immunogenicity have been an increasingly active focus of such efforts. Red blood cells (RBCs), also known as erythrocytes have undergone extensive scrutiny as potential vehicles for drug delivery due to their remarkable attributes over the years of research. These include intrinsic biocompatibility, minimal immunogenicity, flexibility, and prolonged systemic circulation. Throughout the course of investigation, a diverse array of drug delivery platforms based on RBCs has emerged. These encompass genetically engineered RBCs, non-genetically modified RBCs, and RBC membrane-coated nanoparticles, each devised to cater to a range of biomedical objectives. Given their prevalence in the circulatory system, RBCs have gained significant attention for their potential to serve as biomimetic coatings for artificial nanocarriers. By virtue of their surface emulation capabilities and customizable core materials, nanocarriers mimicking these RBCs, hold considerable promise across a spectrum of applications, spanning drug delivery, imaging, phototherapy, immunomodulation, sensing, and detection. These multifaceted functionalities underscore the considerable therapeutic and diagnostic potential across various diseases. Our proposed review provides the synthesis of recent strides in the theranostic utilization of erythrocytes in the context of cancer. It also delves into the principal challenges and prospects intrinsic to this realm of research. The focal point of this review pertains to accentuating the significance of erythrocyte-based theranostic systems in combating cancer. Furthermore, it precisely records the latest and the most specific methodologies for tailoring the attributes of these biomimetic nanoscale formulations, attenuating various discoveries for the treatment and management of cancer.

Drug-loaded polymer-coated silver nanoparticles for lung cancer theranostics.

Lung cancer is the leading cause of death in cancer across the globe. To minimize these deaths, the replacement of traditional chemotherapy with novel strategies is significant. We have developed a nanotheranostic approach using silver nanoparticles for imaging and treatment. Silver nanoparticles (AgNPs) are fabricated by chemical reduction method. The formulation of AgNPs was confirmed by different characterization techniques like stability test, UV-Visible spectroscopy, Confocal Raman Spectroscopy, and Energy-Dispersive X-ray analysis. Further, AgNPs are coated with poly lactic-co-glycolic acid (PLGA) and then loaded with paclitaxel (Pac). Then the drug-loaded PLGA-coated AgNPs were characterized for size and zeta potential measurement by zetasizer, surface morphology study by atomic force microscopy, Fourier transform infrared spectroscopy, and release kinetics study. The imaging and anticancer properties of these nanoformulations are investigated using lung cancer cell lines. The results proved that the particles are in the nanometer range with smooth surface morphology. Moreover, the drug-loaded NPs showed a sustained release of the drug for a longer period of time. Further the formulations showed imaging property with greater anticancer efficacy. Thus, the results suggest the effective use of these nanoformulation in both lung cancer imaging and treatment using a simple and efficient approach.

Educational Intervention to Increase COVID-19 Vaccine Uptake in Rural Patients with Chronic Diseases: Lessons Learned from An Innovative Academic-Community Partnership.

BACKGROUND: The pandemic has disproportionately impacted rural communities with a higher burden of chronic disease and COVID-19 infection. West Virginia is a rural state with a high rate of diabetes, hypertension, and COPD, which are known risk factors for severe COVID-19 and long COVID. Yet, there is a significant hesitancy regarding COVID-19 vaccination uptake in the state. The purpose of this study was to use an educational intervention to increase vaccine knowledge and vaccine acceptance in rural patients with chronic disease(s) in West Virginia. This project used an academic-community partnership comprised of researchers, practitioners, community organizations, community-engaged partners, and patient stakeholders to increase COVID-19 health literacy and increase vaccine acceptance among rural West Virginians with chronic conditions. MATERIALS AND METHODS: A quasi-experimental study design was used to deliver an educational intervention by trained Health Navigators using short videos to increase COVID-19 health literacy and address participants' vaccine concerns. Eligibility included adults (18 years and older) who have at least one chronic condition. A statewide community advisory board (CAB) guided the development of the educational training curriculum and implementation strategies. An adapted version of the Exploration, Preparation, Implementation, Sustainment (EPIS) framework guided the development of the intervention. Health Navigators (n = 45) delivered the educational intervention in their local communities between November 2022 and October 2023 (project implementation is still ongoing). Intervention fidelity checks, an adaptable script, and a flow chart allowed tailoring of brief videos to address participants' specific COVID-19 questions and vaccine concerns. A validated online survey, monitored by an online Research Electronic Data Capture (REDCap) database, assessed participants' knowledge, perceived susceptibility, and vaccine intention. RESULTS: Health Navigators delivered the intervention to 1368 West Virginians in 52 counties (59.2% women; 61.8% without a college degree). Participants reported living with an average of 2.1 ± 1.4 chronic conditions. The mean age was 43.5 ± 18.8 years. The majority of participants (81.2%) had received the primary vaccination series, and 63.1% had at least one booster. However, 18% were unvaccinated or did not complete the primary COVID-19 vaccine series. Discussions to improve vaccine literacy focused on how the vaccine was so quickly developed and protects against variants, addressing concerns related to the safety, short- and long-term side effects, and importance of vaccine uptake for immunocompromised individuals. Participants with higher concerns were more likely to be unvaccinated and to have not completed their primary series or boosters (p < 0.001). However, the educational intervention improved the willingness of individuals who were either unvaccinated or did not complete their primary vaccine series to get vaccinated (11.4%). DISCUSSION: Our findings highlight the importance of vaccine literacy in increasing vaccination rates among rural patients with chronic diseases. Using the EPIS framework allowed us to reflect upon the challenges, ensure resilience during changing local contexts, and plan and implement a promising, cost-effective intervention in rural areas. CONCLUSIONS: This study provides insights into the need for tailored educational interventions based on disease status, which has implications for public health and patient care in rural and underserved communities. Academic-community partnerships can be useful for successful knowledge transfer for vaccine acceptance to reduce rural health disparities.

Relationship of ethnicity and CD4 Count with glucose metabolism among HIV patients on Highly-Active Antiretroviral Therapy (HAART).

BACKGROUND: HIV patients on HAART are prone to metabolic abnormalities, including insulin resistance, lipodystrophy and diabetes. This study purports to investigate the relationship of ethnicity and CD4+ T cell count attained after stable highly-active antiretroviral treatment (HAART) with glucose metabolism in hyperrtriglyceridemic HIV patients without a history of diabetes. METHODS: Demographic, anthropometric, clinical, endocrinologic, energy expenditure and metabolic measures were obtained in 199 multiethnic, healthy but hypertriglyceridemic HIV-infected patients [46% Hispanic, 17% African-American, 37% Non-Hispanic White (NHW)] on stable HAART without a history of diabetes. The relationship of glucose and insulin responses to ethnicity, CD4 strata (low (<300/cc) or moderate-to-high (≥ 300/cc)), and their interaction was determined. RESULTS: African-Americans had significantly greater impairment of glucose tolerance (P < 0.05) and HbA1c levels (P < .001) than either Hispanics or NHWs. In multivariate models, after adjusting for confounders (age, sex, HIV/HAART duration, smoking, obesity, glucose, insulin and lipids), African-Americans and Hispanics had significantly higher HbA1c and 2-hour glucose levels than NHW's. Demonstrating a significant interaction between ethnicity and CD4 count (P = 0.023), African Americans with CD4 <300/cc and Hispanics with CD4 ≥300/cc had the most impaired glucose response following oral glucose challenge. CONCLUSIONS: Among hypertriglyceridemic HIV patients on HAART, African-Americans and Hispanics are at increased risk of developing diabetes. Ethnicity also interacts with CD4+ T cell count attained on stable HAART to affect post-challenge glycemic response.

Prevalence and factors associated with diagnosed diabetes mellitus among Asian Indian adults in the United States.

Higher prevalence of diabetes mellitus (DM) has been documented among South Asians living in the United States. However, combining the south Asian subgroups into one category masks the heterogeneity in the diagnosed DM, after controlling for known protective and risk factors. We assessed the association of Asian Indian ethnicity to diagnosed DM using a nationally representative sample of 1,986 Asian Indian adults in the US compared to 109,072 Non-Hispanic Whites (NHWs) using disaggregated data from the National Health Interview Survey (2012-2016) (NHIS). 2010 US census figures were used for age-sex standardization. Age-sex adjusted prevalence of DM was 8.3% in Asian Indians as compared to 5.8% in NHW. In adjusted multivariable logistic regression models, Asian Indians had higher odds ratios of reporting diagnosed DM compared to NHWs (AOR = 1.39, 95% CI: 1.12, 1.71). This association remained strong and significant even after controlling for other risk factors in the model (AOR = 1.47, 95% CI: 1.16, 1.85). Results suggest a favorable socio-economic profile of Asian Indians was not protective on diagnosed DM. In addition, they were more likely to have diagnosed DM due to higher prevalence of obesity despite healthier behaviors of smoking and exercise.

Exploring facilitators and barriers to patient-provider communication regarding diabetes self-management.

Objective: Long-term type 2 diabetes management requires open communication between a patient and their provider for self-care adherence. This study explored facilitators and barriers to diabetes-specific communication in West Virginia, a medically underserved state with the highest prevalence of diabetes (16.2%) in the U.S. Methods: A secondary qualitative analysis was conducted using data from semi-structured interviews (n = 34) and 4 focus groups (n = 23) with participants of a diabetes education program. Transcripts were analyzed using thematic analysis. Results: Three facilitators to patient-provider communication emerged: "Patient-Provider Partnership", "Provider Accessibility", and "Empowerment Through Education". Partnership with providers, especially those who were accessible outside of scheduled appointments, and empowerment obtained through diabetes education facilitated diabetes-specific patient-provider communication. However, barriers included "Providers' Focus on 'Numbers' Rather than Patient Concerns", "Patient Lack of Preparation for Appointments", and "Providers 'Talking Down to' Patients". Conclusion: The findings highlight patient- and provider-related factors that impact diabetes-specific communication. Innovation: Previous interventions have trained providers in communication skills. Despite some success, challenges in implementation remain considering providers' limited time and overwhelming demands. This study suggests that diabetes education programs incorporating communication and self-advocacy skills could be a promising alternative as they can empower patients to communicate their diabetes-specific needs/preferences with providers.

Factors associated with COVID-19-related mental health among Asian Indians in the United States.

Background: In the United States, the COVID-19 pandemic has caused increased mental health symptoms and mental illness. Specific subgroups such as Asian Indians in the US have also been subject to additional stressors due to unprecedented loss of lives in their home country and increased Asian hate due to the misperception that Asians are to be blamed for the spread of the SARS-CoV-2. Objective: We examined the various factors including discrimination associated with COVID-19-related mental health symptoms among Asian Indians. Methods: We administered an online survey between May 2021 and July 2021 using convenient and snowball sampling methods to recruit Asian Indian adults (age > 18 years, N = 289). The survey included questions on mental health and the experience with unfair treatment in day-to-day life. Descriptive analysis and logistic regressions were performed. Results: Overall, 46.0% reported feeling down, depressed, or lonely and feeling nervous, tense, or worried due to the COVID-19 pandemic; 90.0% had received at least one dose of vaccination and 74.7% reported some form of discrimination. In the fully-adjusted logistic regression, age (AOR = 0.95; 95%CI- 0.92, 0.97;p < 0.01) and general health (AOR=0.84; 95%CI- 0.73, 0.97; p < 0.015) were negatively associated with mental health symptoms. Participants who experienced discrimination were more likely (AOR=1.26; 95%CI- 1.08, 1.46; p < 0.01) to report mental health symptoms. Conclusion: In this highly vaccinated group of Asian Indians discriminatory behaviors were associated with mental health symptoms suggesting the need for novel institutional level policy responses to reduce anti-Asian racism.