The relationship between psychological resilience and quality of life among the Chinese diabetes patients: the mediating role of stigma and the moderating role of empowerment.

BACKGROUND: Although some factors, such as stigma and empowerment, influence the complex relationship between psychological resilience and quality of life, few studies have explored similar psychological mechanisms among patients with diabetes. Therefore, this study explored the mediating role of stigma and the moderating role of empowerment in the psychological mechanisms by which psychological resilience affects quality of life. METHODS: From June to September 2022, data were collected by multi-stage stratified sampling and random number table method. Firstly, six tertiary hospitals in Wuhu were numbered and then selected using the random number table method, resulting in the First Affiliated Hospital of Wannan Medical College being selected. Secondly, two departments were randomly selected from this hospital: endocrinology and geriatrics. Thirdly, survey points were set up in each department, and T2DM patients were randomly selected for questionnaire surveys. In addition, we used the Connor-Davidson Elasticity Scale (CD-RISC) to measure the psychological resilience of patients, and used the Stigma Scale for Chronic Illness (SSCI) to measure stigma. Empowerment was measured by the Diabetes Empowerment Scale (DES). Quality of Life was assessed by the Diabetes Quality of Life Scale (DQoL). We used SPSS (version 21) and PROCESS (version 4.1) for data analysis. RESULTS: (1) Psychological resilience was negatively correlated with stigma and quality of life, and positively correlated with empowerment. Stigma was positively associated with empowerment and quality of life. Empowerment was negatively correlated with quality of life. (2) The mediation analysis showed that psychological resilience had a direct predictive effect on the quality of life, and stigma partially mediated the relationship; Empowerment moderates the first half of "PR → stigma → quality of life"; Empowerment moderates the latter part of "PR → stigma → quality of life." CONCLUSIONS: Under the mediating effect of stigma, psychological resilience can improve quality of life. Empowerment has a moderating effect on the relationship between psychological resilience and stigma, and it also has a moderating effect on the relationship between stigma and quality of life. These results facilitate the understanding of the relationship mechanisms between psychological resilience and quality of life.

Impact of More Detailed Measures of Disease Severity on Racial Disparities in Cardiac Surgery Mortality among Native Hawaiians and Pacific Islanders.

Studies that examine racial disparities in health outcomes often include analyses that account or adjust for baseline differences in co-morbid conditions. Often, these conditions are defined as dichotomous (Yes/No) variables, and few analyses include clinical and/or laboratory data that could allow for more nuanced estimates of disease severity. However, disease severity - not just prevalence - can differ substantially by race and is an underappreciated mechanism for health disparities. Thus, relying on dichotomous disease indicators may not fully describe health disparities. This study explores the effect of substituting continuous clinical and/or laboratory data for dichotomous disease indicators on racial disparities, using data from the Queen's Medical Center's (QMC) cardiac surgery database (a subset of the national Society of Thoracic Surgeon's cardiothoracic surgery database) as an example case. Two logistic regression models predicting in-hospital mortality were constructed: (I) a baseline model including race and dichotomous (Yes/No) indicators of disease (diabetes, heart failure, liver disease, kidney disease), and (II) a more detailed model with continuous laboratory values in place of the dichotomous indicators (eg, including Hemoglobin A1c level rather than just diabetes yes/no). When only dichotomous disease indicators were used in the model, Native Hawaiian and other Pacific Islander (NHPI) race was significantly associated with in-hospital mortality (OR: 1.57[1.29,2.47], P=.04). Yet when the more specific laboratory values were included, NHPI race was no longer associated with in-hospital mortality (OR: 1.67[0.92,2.28], P=.28). Thus, researchers should be thoughtful in their choice of independent variables and understand the potential impact of how clinical measures are operationalized in their research.

Ethnic differences in the association between age at diagnosis of diabetes and the risk of cardiovascular complications: a population-based cohort study.

BACKGROUND: We examined ethnic differences in the association between age at diagnosis of diabetes and the risk of cardiovascular complications. METHODS: We conducted a population-based cohort study in Ontario, Canada among individuals with diabetes and matched individuals without diabetes (2002-18). We fit Cox proportional hazards models to determine the associations of age at diagnosis and ethnicity (Chinese, South Asian, general population) with cardiovascular complications. We tested for an interaction between age at diagnosis and ethnicity. RESULTS: There were 453,433 individuals with diabetes (49.7% women) and 453,433 matches. There was a significant interaction between age at diagnosis and ethnicity (P < 0.0001). Young-onset diabetes (age at diagnosis < 40) was associated with higher cardiovascular risk [hazard ratios: Chinese 4.25 (3.05-5.91), South Asian: 3.82 (3.19-4.57), General: 3.46 (3.26-3.66)] than usual-onset diabetes [age at diagnosis ≥ 40 years; Chinese: 2.22 (2.04-2.66), South Asian: 2.43 (2.22-2.66), General: 1.83 (1.81-1.86)] versus ethnicity-matched individuals. Among those with young-onset diabetes, Chinese ethnicity was associated with lower overall cardiovascular [0.44 (0.32-0.61)] but similar stroke risks versus the general population; while South Asian ethnicity was associated with lower overall cardiovascular [0.75 (0.64-0.89)] but similar coronary artery disease risks versus the general population. In usual-onset diabetes, Chinese ethnicity was associated with lower cardiovascular risk [0.44 (0.42-0.46)], while South Asian ethnicity was associated with lower cardiovascular [0.90 (0.86-0.95)] and higher coronary artery disease [1.08 (1.01-1.15)] risks versus the general population. CONCLUSIONS: There are important ethnic differences in the association between age at diagnosis and risk of cardiovascular complications.

Risk Factors Associated with Diabetes among Mexican-Origin Adults in Southern Arizona.

Diabetes is the seventh leading cause of death in the United States, and it is particularly problematic among the Latine population. This study employed multivariable logistic regression models to examine how hypertension, depression, and sociodemographics were associated with diabetes in a cross-sectional sample of Mexican-origin adults living in three counties of Southern Arizona. The overall prevalence of diabetes from this primary care sample was 39.4%. Holding covariates at fixed values, individuals having hypertension were 2.36 (95% CI: 1.15, 4.83) times more likely to have diabetes, when compared to individuals not having hypertension. The odds of having diabetes for individuals with ≥12 years of educational attainment were 0.29 (95% CI: 0.14, 0.61) times the corresponding odds of individuals with <12 years of educational attainment. For individuals with depression, the odds of having diabetes for those who were born in Mexico and had <30 years living in the US were 0.04 (95% CI: 0, 0.42) times the corresponding odds of individuals without depression and who were born in the US. Findings suggest clinical and public health systems should be aware of the potential increased risk of diabetes among Mexican-origin adults with hypertension and lower educational attainment.

Association of Spousal Diabetes Status and Ideal Cardiovascular Health Metrics With Risk of Incident Diabetes Among Chinese Adults.

Importance: Spouses share common socioeconomic, environmental, and lifestyle factors, and multiple studies have found that spousal diabetes status was associated with diabetes prevalence. But the association of spousal diabetes status and ideal cardiovascular health metrics (ICVHMs) assessed by the American Heart Association's Life's Essential 8 measures with incident diabetes has not been comprehensively characterized, especially in large-scale cohort studies. Objective: To explore the association of spousal diabetes status and cardiovascular health metrics with risk of incident diabetes in Chinese adults. Design, Setting, and Participants: This cohort study included individuals in the China Cardiovascular Disease and Cancer Cohort without diabetes who underwent baseline and follow-up glucose measurements and had spouses with baseline glucose measurements. The data were collected in January 2011 to December 2012 and March 2014 to December 2016. The spousal study had a mean (SD) follow-up of 3.6 (0.9) years (median [IQR], 3.2 [2.9-4.5] years). Statistical analysis was performed from July to November 2022. Exposure: Spousal diabetes status was diagnosed according to the 2010 American Diabetes Association (ADA) criteria. All participants provided detailed clinical, sociodemographic, and lifestyle information included in cardiovascular health metrics. Main Outcomes and Measures: Incident diabetes, diagnosed according to 2010 ADA criteria. Results: Overall, 34 821 individuals were included, with a mean (SD) age of 56.4 (8.3) years and 16 699 (48.0%) male participants. Spousal diabetes diagnosis was associated with an increased risk of incident diabetes (hazard ratio [HR], 1.15; 95% CI, 1.03-1.30). Furthermore, participants whose spouses had uncontrolled glycated hemoglobin (HbA1c) had a higher risk of diabetes (HR, 1.20; 95% CI, 1.04-1.39) but the risk of diabetes in participants whose spouses had controlled HbA1c did not increase significantly (HR, 1.10; 95% CI, 0.92-1.30). Moreover, this association varied with composite cardiovascular health status. Diabetes risk in individuals who had poor cardiovascular health status (<4 ICVHMs) was associated with spousal diabetes status (3 ICVHMs: HR, 1.50; 95% CI, 1.15-1.97), while diabetes risk in individuals who had intermediate to ideal cardiovascular health status (≥4 ICVHMs) was not associated with it (4 ICVHMs: HR, 1.01; 95% CI, 0.69-1.50). Conclusions and Relevance: In this study, spousal diabetes diagnosis with uncontrolled HbA1c level was associated with increased risk of incident diabetes, but strict management of spousal HbA1c level and improving ICVHM profiles may attenuate the association of spousal diabetes status with diabetes risk. These findings suggest the potential benefit of couple-based lifestyle or pharmaceutical interventions for diabetes.

Race Associated With Increased Complication Rates After Total Knee Arthroplasty.

BACKGROUND: Racial and ethnic disparities have been suggested to be associated with poor outcomes after total knee arthroplasty (TKA). While socioeconomic disadvantage has been studied, analyses of race as the primary variable are lacking. Therefore, we examined the potential differences between Black and White TKA recipients. Specifically, we assessed 30-day and 90-day, as well as 1 year: (1) emergency department visits and readmissions; (2) total complications; (3) as well as risk factors for total complications. METHODS: A consecutive series of 1,641 primary TKAs from January 2015 to December 2021 at a tertiary health care system were reviewed. Patients were stratified according to race, Black (n = 1,003) and White (n = 638). Outcomes of interest were analyzed using bivariate Chi-square and multivariate regressions. Demographic variables such as sex, American Society of Anesthesiologists classification, diabetes, congestive heart failure, chronic pulmonary disease, and socioeconomic status based on Area Deprivation Index were controlled for across all patients. RESULTS: The unadjusted analyses found that Black patients had an increased likelihood of 30-day emergency department visits and readmissions (P < .001). However, in the adjusted analyses, Black race was demonstrated to be a risk factor for increased total complications at all-time points (P ≤ .0279). Area Deprivation Index was not a risk for cumulative complications at these time points (P ≥ .2455). CONCLUSION: Black patients undergoing TKA may be at increased risk for complications with more risk factors including higher body mass index, tobacco use, substance abuse, chronic obstructive pulmonary disease, congestive heart failure, hypertension, chronic kidney disease, and diabetes and were thus, "sicker" initially than the White cohort. Surgeons are often treating these patients at the later stages of their diseases when risk factors are less modifiable, which necessitates a shift to early, preventable public health measures. While higher socioeconomic disadvantage has been associated with higher rates of complications, the results of this study suggest that race may play a greater role than previously thought.

Cardiovascular Risk Factor Prevalence, Treatment, and Control in US Adults Aged 20 to 44 Years, 2009 to March 2020.

Importance: Declines in cardiovascular mortality have stagnated in the US over the past decade, in part related to worsening risk factor control in older adults. Little is known about how the prevalence, treatment, and control of cardiovascular risk factors have changed among young adults aged 20 to 44 years. Objective: To determine if the prevalence of cardiovascular risk factors (hypertension, diabetes, hyperlipidemia, obesity, and tobacco use), treatment rates, and control changed among adults aged 20 to 44 years from 2009 through March 2020, overall and by sex and race and ethnicity. Design, Setting, and Participants: Serial cross-sectional analysis of adults aged 20 to 44 years in the US participating in the National Health and Nutrition Examination Survey (2009-2010 to 2017-March 2020). Main Outcomes and Measures: National trends in the prevalence of hypertension, diabetes, hyperlipidemia, obesity, and smoking history; treatment rates for hypertension and diabetes; and blood pressure and glycemic control in those receiving treatment. Results: Among 12 924 US adults aged 20 to 44 years (mean age, 31.8 years; 50.6% women), the prevalence of hypertension was 9.3% (95% CI, 8.1%-10.5%) in 2009-2010 and 11.5% (95% CI, 9.6%-13.4%) in 2017-2020. The prevalence of diabetes (from 3.0% [95% CI, 2.2%-3.7%] to 4.1% [95% CI, 3.5%-4.7%]) and obesity (from 32.7% [95% CI, 30.1%-35.3%] to 40.9% [95% CI, 37.5%-44.3%]) increased from 2009-2010 to 2017-2020, while the prevalence of hyperlipidemia decreased (from 40.5% [95% CI, 38.6%-42.3%] to 36.1% [95% CI, 33.5%-38.7%]). Black adults had high rates of hypertension across the study period (2009-2010: 16.2% [95% CI, 14.0%-18.4%]; 2017-2020: 20.1% [95% CI, 16.8%-23.3%]), and significant increases in hypertension were observed among Mexican American adults (from 6.5% [95% CI, 5.0%-8.0%] to 9.5% [95% CI, 7.3%-11.7%]) and other Hispanic adults (from 4.4% [95% CI, 2.1%-6.8%] to 10.5% [95% CI, 6.8%-14.3%]), while Mexican American adults had a significant rise in diabetes (from 4.3% [95% CI, 2.3%-6.2%] to 7.5% [95% CI, 5.4%-9.6%]). The percentage of young adults treated for hypertension who achieved blood pressure control did not significantly change (from 65.0% [95% CI, 55.8%-74.2%] in 2009-2010 to 74.8% [95% CI, 67.5%-82.1%] in 2017-2020], while glycemic control among young adults receiving treatment for diabetes remained suboptimal throughout the study period (2009-2010: 45.5% [95% CI, 27.7%-63.3%]) to 2017-2020: 56.6% [95% CI, 39.2%-73.9%]). Conclusions and Relevance: In the US, diabetes and obesity increased among young adults from 2009 to March 2020, while hypertension did not change and hyperlipidemia declined. There was variation in trends by race and ethnicity.

Hostility and prevalent diabetes among black adults: The Jackson Heart Study.

BACKGROUND AND AIMS: The relationship between hostility and the prevalence of diabetes mellitus (DM) among black adults was investigated using the Jackson Heart Study (JHS) cohort. We hypothesized that Cook-Medley Hostility scores will be positively related with the prevalence of DM. METHODS AND RESULTS: A total of 3232 black adults who completed at least one question for each of the three subscales of the Cook-Medley Hostility Scale and had data available regarding DM status were included. Using multivariate logistic regression, we studied the cross-sectional relationship between the overall Total Cook-Medley Hostility scores and individual subscales, hostile affect (n = 3232), aggression (n = 3119) and cynical distrust (n = 3085), with prevalent DM, adjusting for known DM confounders. Our population was 36% male with a mean age of 53.5 ± 0.9 years. In risk-factor adjusted models, each point higher in the overall Total Cook-Medley Hostility scores was associated with increased odds of having DM [Adjusted OR 1.02, 95%CI 1.00-1.04, P = 0.03]. Higher scores of cynicism were independently associated with prevalent DM [Adjusted OR 1.04, 95%CI 1.01-1.07, p = 0.021]. CONCLUSIONS: There was a positive relationship between overall hostility levels and prevalent DM. Future studies should investigate the extent to which additional social determinants may impact the relationship between hostile affect and prevalent DM.

Circulatory Biomarkers and Diabetic Retinopathy in Racial and Ethnic Populations.

Clinical staging systems for diagnosis and treatment of diabetic retinopathy (DR) must closely relate to endpoints that are both relevant for patients and feasible for physicians to implement. Current DR staging systems for clinical eye care and research provide detailed phenotypic characterization to predict patient outcomes in diabetes but have limitations. Biochemical biomarkers provide a rich pool of potential candidates for new DR staging systems that can be readily measured in accessible fluids. Circulating biomarkers that are specific to the retina and relate to angiogenesis and inflammation have been suggested as relevant for DR. Although there is a lack of multi-ethnic studies evaluating circulatory biomarkers in DR, variability in circulatory biomarkers have been reported in people from different ethnic and racial backgrounds. Therefore, there is a need for future studies to evaluate individual or combinations of biomarkers in diverse populations with DR from different ethnic and racial backgrounds.

Disparities in absolute cardiovascular risk, metabolic syndrome, hypertension, and other risk factors by income within racial/ethnic groups among middle-aged and older US people.

This cross-sectional study determined income disparities in age-adjusted prevalence and trends of 10-year high absolute cardiovascular disease (CVD) risk, metabolic syndrome, hypertension, diabetes, obesity, chronic kidney disease (CKD), leisure-time physical activity (LTPA), and current tobacco smoking within racial/ethnic groups in the US. National Health and Nutrition Examination Survey 2001-2016 data of 40-79-year-old people were analyzed. Survey periods were grouped as 2001-2006, 2007-2012, and 2013-2016. Race/ethnicity was grouped as non-Hispanic whites, non-Hispanic blacks, and other races/ethnicities. Three equal-sized strata (low-, middle-, and high income) were made from the family income-to-poverty ratio. Of the 25,777 participants (mean age: 55.6 years, 48% males), a majority of the studied prevalence was higher in most survey years among non-Hispanic blacks compared to non-Hispanic whites. Most studied prevalence was also higher among low-income people than middle-/high-income people. Within racial/ethnic groups, the prevalence also differed by income for high CVD risk, metabolic syndrome, hypertension, diabetes, obesity, CKD, LTPA, and tobacco smoking (P < 0.05) in most survey periods. After stratifying by race/ethnicity, the prevalence of many conditions remained disproportionately higher among low- and middle-income people, compared to those with high income during most survey periods in all racial/ethnic groups. These results reveal income in addition to race/ethnicity to be an important correlate of cardiovascular health and underscore the need to consider each when controlling for risk factors.

Acculturation and Cardiometabolic Abnormalities Among Chinese and Korean Americans.

BACKGROUND: Studies generally show that higher acculturation is associated with greater cardiovascular disease (CVD) risk among immigrants in the United States (US). However, few studies have compared how proxies of acculturation are differentially associated with metabolic abnormalities measured using objective biomarkers, self-reported diagnosis, and medication use, particularly among East Asian Americans. METHODS: Survey data and biomarker measurements collected from random (non-fasting) blood samples of Chinese and Korean immigrants in the US (n = 328) were used to examine the associations between two proxies for acculturation (years living in the US and English speaking proficiency) with three cardiometabolic abnormalities (high triglyceride levels, diabetes, and hypercholesterolemia). Poisson regression models estimated prevalence ratios adjusted for demographic characteristics, socioeconomic factors, and body mass index. Gender, Asian subgroup, and household income were tested as potential effect modifiers. RESULTS: Living longer in the US was associated with greater likelihood of having high triglycerides. In addition, living longer in the US was associated with greater likelihood of diabetes for people with lower household income and greater likelihood of hypercholesterolemia for people with higher household income. Higher level of English proficiency was less consistently associated with higher cardiometabolic risk, although there was a significant association with greater likelihood of hypercholesterolemia. CONCLUSIONS: Longer time lived in the US is associated with higher risk of cardiometabolic abnormalities among Chinese and Korean Americans. Future studies of acculturation and cardiometabolic risk should carefully consider potential mechanisms and what proxy measures of acculturation capture. TRIAL REGISTRATION NUMBER: NCT03481296, date of registration: 3/29/2018.

The Impact of the COVID-19 Pandemic on Ethnic Minority Groups With Diabetes.

Major ethnic disparities in diabetes care, especially for intermediate outcomes and diabetes complications, were evident prior to the coronavirus disease 2019 (COVID-19) pandemic. Diabetes is a risk factor for severe COVID-19, and the combination of these ethnic disparities in diabetes care and outcomes may have contributed to the inequity in COVID-19 outcomes for people with diabetes. Overall, ethnic minority populations have suffered disproportionate rates of COVID-19 hospitalization and mortality. Results from the limited number of studies of COVID-19 in ethnic minority populations with diabetes are mixed, but there is some suggestion that rates of hospitalization and mortality are higher than those of White populations. Reasons for the higher incidence and severity of COVID-19-related outcomes in minority ethnic groups are complex and have been shown to be due to differences in comorbid conditions (e.g., diabetes), exposure risk (e.g., overcrowded living conditions or essential worker jobs), and access to treatment (e.g., health insurance status and access to tertiary care medical centers), which all relate to long-standing structural inequities that vary by ethnicity. While guidelines and approaches for diabetes self-management and outpatient and inpatient care during the pandemic have been published, few have recommended addressing wider structural issues. As we now plan for the recovery and improved surveillance and risk factor management, it is imperative that primary and specialist care services urgently address the disproportionate impact the pandemic has had on ethnic minority groups. This should include a focus on the larger structural barriers in society that put ethnic minorities with diabetes at potentially greater risk for poor COVID-19 outcomes.

Psychosocial Impact of the COVID-19 Pandemic in Racially/Ethnically Diverse Youth With Diabetes.

OBJECTIVE: This study examined caregiver perceived impact of the Coronavirus Disease 2019 (COVID-19) pandemic on a diverse sample of U.S. youth with diabetes and their families. METHODS: Caregivers of youth with diabetes completed an electronic survey in English or Spanish at two sites. Participants provided demographic and disease characteristics and completed the COVID-19 Exposure and Family Impact Scales (CEFIS). Glycemic health was assessed via Hemoglobin A1c (HbA1c) from medical chart review. Analysis of variance and analyses of covariance were utilized to examine racial/ethnic differences in glycemic health and in COVID-19 Exposure, Impact, and Distress scales. Hierarchical linear regression was conducted to predict HbA1c. Thematic analysis was conducted on open-ended responses regarding the effects of COVID-19 on youth and families' overall and diabetes-related well-being. RESULTS: Caregivers (n = 114) of youth with diabetes (M = 12.6 ± 3.5 years) completed study measures. Mean HbA1c for Non-Hispanic White youth was lowest and significantly different from Hispanic and Non-Hispanic Black youth. Exposure to COVID-19 stressors differed by race/ethnicity (p < .05) with Hispanic caregivers reporting greatest exposure. CEFIS scales did not predict HbA1c after controlling for demographic/disease variables. Caregivers described child/family changes during COVID (e.g., more time together, health-related hypervigilance), as well as differences in diabetes management during COVID-19. CONCLUSIONS: Findings indicate differences in COVID-19 exposure but did not demonstrate other racial/ethnic disparities in COVID-19 impact or distress. Household income was the most important predictor of glycemic health. Addressing structural inequalities experienced by youth with diabetes and their families is critical. Recommendations to support families with diabetes are made.

Trends in lifetime risk and years of potential life lost from diabetes in the United States, 1997-2018.

BACKGROUND: Both incidence and mortality of diagnosed diabetes have decreased over the past decade. However, the impact of these changes on key metrics of diabetes burden-lifetime risk (LR), years of potential life lost (YPLL), and years spent with diabetes-is unknown. METHODS: We used data from 653,811 adults aged ≥18 years from the National Health Interview Survey, a cross-sectional sample of the civilian non-institutionalized population in the United States. LR, YPLL, and years spent with diabetes were estimated from age 18 to 84 by survey period (1997-1999, 2000-2004, 2005-2009, 2010-2014, 2015-2018). The age-specific incidence of diagnosed diabetes and mortality were estimated using Poisson regression. A multistate difference equation accounting for competing risks was used to model each metric. RESULTS: LR and years spent with diabetes initially increased then decreased over the most recent time periods. LR for adults at age 20 increased from 31.7% (95% CI: 31.2-32.1%) in 1997-1999 to 40.7% (40.2-41.1%) in 2005-2009, then decreased to 32.8% (32.4-33.2%) in 2015-2018. Both LR and years spent with diabetes were markedly higher among adults of non-Hispanic Black, Hispanic, and other races compared to non-Hispanic Whites. YPLL significantly decreased over the study period, with the estimated YPLL due to diabetes for an adult aged 20 decreasing from 8.9 (8.7-9.1) in 1997-1999 to 6.2 (6.1-6.4) in 2015-2018 (p = 0.02). CONCLUSION: In the United States, diabetes burden is declining, but disparities by race/ethnicity remain. LR remains high with approximately one-third of adults estimated to develop diabetes during their lifetime.

Neighborhood Environment and Metabolic Risk in Hispanics/Latinos From the Hispanic Community Health Study/Study of Latinos.

INTRODUCTION: This study examines the associations of neighborhood environments with BMI, HbA1c, and diabetes across 6 years in Hispanic/Latino adults. METHODS: Participants from the Hispanic Community Health Study/Study of Latinos San Diego site (n=3,851, mean age=39.4 years, 53.3% women, 94.0% Mexican heritage) underwent assessment of metabolic risk factors and diabetes status (categorized as normoglycemia, prediabetes, and diabetes) at baseline (2008-2011) and approximately 6 years later (2014-2017). In the Study of Latinos Community and Surrounding Areas Study ancillary study (2015-2020), participant baseline addresses were geocoded, and neighborhoods were defined using 800-meter circular buffers. Neighborhood variables representing socioeconomic deprivation, residential stability, social disorder, walkability, and greenness were created using Census and other public databases. Analyses were conducted in 2020-2021. RESULTS: Complex survey regression analyses revealed that greater neighborhood socioeconomic deprivation was associated with higher BMI (ß=0.14, p<0.001) and HbA1c (ß=0.08, p<0.01) levels and a higher odds of worse diabetes status (i.e., having prediabetes versus normoglycemia and having diabetes versus prediabetes; OR=1.25, 95% CI=1.06, 1.47) at baseline. Greater baseline neighborhood deprivation also was related to increasing BMI (ß=0.05, p<0.01) and worsening diabetes (OR=1.27, 95% CI=1.10, 1.46) statuses, whereas social disorder was related to increasing BMI levels (ß=0.05, p<0.05) at Visit 2. There were no associations of expected protective factors of walkability, greenness, or residential stability. CONCLUSIONS: Neighborhood deprivation and disorder were related to worse metabolic health in San Diego Hispanic/Latino adults of mostly Mexican heritage. Multilevel interventions emphasizing individual and structural determinants may be most effective in improving metabolic health among Hispanic/Latino individuals.

Worldwide Research Trends on Diabetic Foot Ulcers (2004-2020): Suggestions for Researchers.

OBJECTIVES: Diabetic foot ulcer (DFU) is one of the devastating complications of diabetes. It has high mortality and disability rates. The number of research articles on DFUs has increased. This study was designed to explore the global trends and research hotspots of DFUs to benefit researchers in shaping future research directions. METHODS: Literatures relating to DFU from 2004 to 2020 were retrieved from the Science Citation Index Expanded (SCI-expanded) of Web of Science Core Collection (WoSCC). The current status of DFU research (including publications, journals, the performances of relevant countries, institutions, and authors and the research trends and hotspots of DFU) was analyzed with the WoSCC. VOSviewer v1.6.10.0 was utilised for cocitation, coauthorship, cooccurrence analyses, and bibliographic coupling. RESULTS: A total of 5869 publications on DFUs were retrieved. We performed a longitudinal review of publications over 17 years: 4500 articles and 865 review articles on DFUs published from 2004 to 2020 were analyzed. The total citation was 107,296. The USA (n = 1866), England (n = 606), and China (n = 599) were the three largest contributors. The University of Washington had the greatest number of publications within this time period (n = 103), and it had the most cooperative units and was in the core position in all research institutions, followed by the University of Manchester (n = 94) and the University of Miami (n = 92). Armstrong DG (91/1.69%) and Lavery LA (55/1.19%) should be regarded as scholars who have made outstanding contributions. The top journal with the greatest total link strength was Diabetes Care. Analysis showed that the global research hotspots of DFU focused on lower limb amputation, diabetic foot infection, and treatment and management of DFU. Studies on osteomyelitis, wound therapy and management, multidisciplinary integration and mechanism of DFUs, and its related diseases are the research fronts that should be closely watched in the future. CONCLUSIONS: This study revealed the current research status and hotspots in the domain of DFU over the past 17 years, which can help researchers to further pinpoint potential perspectives on hot topics and research frontiers.

Prevalence, patterns and determinants of dyslipidaemia among South African adults with comorbidities.

The present study assessed the prevalence, patterns and determinants of dyslipidaemia among South African adults with multi-morbidities. In this study, 614 individuals with DM and hypertension were recruited. Dyslipidaemia was defined as elevated levels of total cholesterol (TC) ≥ 5.2 mmol/L and/or low-density lipoprotein cholesterol (LDL-C) ≥ 2.6 mmol/L, triglycerides (TG) ≥ 1.8 mmol/L and low high-density lipoprotein cholesterol (HDL-C) < 1 mmol/L for men and < 1.2 mmol/L for women. Multivariate regression model (adjusted) analysis was used to identify the significant determinants of dyslipidaemia. The prevalence of dyslipidaemia was 76.7% (n = 471), with females showing the highest prevalence 357 (75.79%). Elevated TG (62.21%) was the most prevalent form of dyslipidemia. Only 103 (16.77%) participants were on statin therapy. The multivariate logistic regression model analysis (adjusted) showed that, the Zulu ethnicity (AOR = 2.45; 95%CI 1.48-4.05) was associated with high TC. DM (AOR = 2.00; 95%CI 1.30-3.06) and the female sex (AOR = 2.54; 95%CI 1.56-4.12) were associated with low HDL-C. Obesity (AOR = 1.57; 95%CI 1.12-2.21) and the Zulu ethnicity (AOR = 1.60; 95%CI 1.00-2.54) were associated with elevated LDL-C. DM (AOR = 2.32; 95%CI 1.61-3.34) was associated with elevated TG. We found a high prevalence of dyslipidaemia. The study further demonstrated that prevention and treatment of dyslipidaemia should be prioritised among individuals with multi-morbidities.