Prevalence and correlates of alcohol use among the elderly in the Eastern Caribbean Health Outcomes Research Network (ECHORN) cohort study.

BACKGROUND: Alcohol use is pervasive in the Caribbean; however, the prevalence and correlates of alcohol use and drinking problems in the elderly have not been extensively studied. METHODS: Data were obtained from the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study, a cohort study of Caribbean people from Puerto Rico, Barbados, Trinidad, and Tobago, and the U.S. Virgin Islands, collected between 2013 and 2018 (baseline study sample, ages 60+, n = 811). Descriptive statistics were used to compare the differences in drinking status (current vs. former vs. never), alcohol problems (Cut-down, Annoyed, Guilty, and Eye-opener (CAGE) scale score ≥2 vs. <2), and binge drinking days (0 days vs. 1-2 days vs. ≥3 days) across sample characteristics. Logistic regression analyses estimated the association of these alcohol measures with sociodemographic (e.g., sex), psychological (depression), and cultural (e.g., religion) correlates. RESULTS: Thirty-six percent were 70 + years of age, 64 % were female, and 41 % had less than a high school education. Alcohol problems (≥2 CAGE score) was 21 %. Binge drinking ≥3 days was 30.6 %. Never attending religious services (vs. attending once a week or more) was associated with almost three times higher odds of alcohol problems (adjusted Odds Ratio: OR = 2.88, 95 % CI = 1.02, 8.15) four times higher odds of increasing binge drinking days (aOR = 4.04, 95 % CI = 1.11, 14.96). College education was protective against both the outcomes. CONCLUSION: We provide current estimates of alcohol problems among elderly Eastern Caribbean people. Among the sociodemographic, psychological, and cultural correlates examined, religious attendance was significant. Replicate longitudinal studies using DSM-5 alcohol dependence are recommended.

Black-White differences in uterine cancer symptomatology and stage at diagnosis.

OBJECTIVE: To examine whether uterine cancer symptoms differ between Black and White patients and how this may influence their stage at diagnosis. METHODS: Using the Surveillance, Epidemiology and End Results-Medicare database, we identified 2328 Black and 21,774 White patients with uterine cancer in 2008-2017. Their symptoms in the 18 months before diagnosis were categorized as postmenopausal bleeding (PMB) alone, PMB together with other symptoms (e.g., abdominal/pelvic pain, bloating), non-PMB symptoms alone, or no symptoms. Stage at diagnosis was dichotomized as advanced (i.e., regional/distant) versus localized. The association between race and stage was analyzed using regression models incrementally adjusting for symptoms and other patient characteristics. RESULTS: A larger proportion of Black than White patients experienced PMB together with other symptoms (63.1% versus 58.0%) or experienced non-PMB symptoms alone (13.1% versus 9.4%) (p < 0.001). Black patients had a higher risk of advanced-stage diagnosis than White patients (45.0% versus 30.3%, unadjusted RR = 1.52, 95% CI: 1.44-1.59). Adjusting for Black-White differences in symptoms attenuated the RR to 1.46 (95% CI: 1.39-1.53). Compared to PMB symptoms alone, having additional non-PMB symptoms (RR = 1.21, 95% CI: 1.15-1.26) and having non-PMB symptoms alone (RR = 1.99, 95% CI: 1.88-2.10) were associated with increased risk of advanced-stage diagnosis. Further adjusting for histology and other patient characteristics reduced Black-White disparity in advanced-stage diagnosis to 1.08 (95% CI: 1.03-1.14) but symptoms remained significantly associated with stage at diagnosis. CONCLUSIONS: Having non-PMB symptoms was associated with more advanced stage at diagnosis. Non-PMB symptoms were more common among Black than White patients, which might hinder symptom recognition/evaluation.

Risk factors for household food insecurity in the Eastern Caribbean Health Outcomes Research Network cohort study.

Background: Globally, 1.3 billion people were considered food insecure as of 2022. In the Caribbean region, the prevalence of moderate or severe food insecurity was 71.3% as of 2020, the highest of all subregions in Latin America. Experienced based measurement scales, like the Latin American and Caribbean Food Security Scale, are efficient measurement tools of food insecurity used globally. The Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study is a population-based longitudinal cohort study in the two Caribbean U.S. territories of Puerto Rico and the U.S. Virgin Islands, as well as in Barbados and Trinidad & Tobago. The purpose of this research was to examine the demographic, psychosocial, behavioral, and environmental risk factors associated with household food insecurity (HFI) among adults ≥40 years of age in the ECHORN cohort. Methods: A cross-sectional analysis of baseline ECHORN cohort study data was conducted. The primary outcome was household food insecurity (none, mild, moderate/severe). A total of 16 known and potential risk factors were examined for their association with HFI. The ANOVA and chi-square statistics were used in bivariate analysis. Ordinal logistic regression was used for the multivariable and sex stratified analyses. Results: More than one-quarter of the sample (27.3%) experienced HFI. In bivariate analyses, all risk factors examined except for sex, were significantly associated with HFI status. In the multivariable analysis, all variables except sex, education, marital status, smoking status, and residing in Puerto Rico were significant predictors of HFI in the adjusted model. In sex stratified analysis, depression, food availability, self-rated physical health, and island site were significantly associated with increased odds of worsening HFI for women, but not for men. Source of potable water was an important risk factor for both men and women. Discussion: The prevalence of HFI in the ECHORN cohort study is comparable to other studies conducted in the region. While women did not have an increased risk of HFI compared to men, a different set of risk factors affected their vulnerability to HFI. More research is needed to understand how water and food security are interrelated in the ECHORN cohort.

Development of a novel healthcare discrimination measure: PreDict.

Introduction: Patient reported quality of care measures are widely recognized tools for healthcare system performance assessment. Yet, there are few existing patient reported quality of care measures regarding health equity, and none to specifically collect patient experiences of discrimination in health care. Objective: To develop an item pool to measure patient experiences of healthcare discrimination-the Patient-Reported Experiences of Discrimination in Care Tool (PreDict). Methods: Utilizing a multistage, exploratory sequential mixed methods study design, we conducted qualitative interviews (n=73) and expert panel consensus analysis to develop items to capture patient experiences of discrimination. This process plus systematic literature review identified extant items and informed de novo items for inclusion in the item pool. Items were developed in English and Spanish and were not represented by extant items. Following identification of the initial item pool (n=125), candidate items underwent cognitive interview testing with English (n=113) and Spanish (n=70) speaking participants to evaluate items for clarity and comprehensiveness. English and Spanish items were also evaluated by a bilingual expert panel to recommend pool items for inpatient field testing. Results: One hundred and three items underwent cognitive interview testing and fifty-nine items were retained. Lack of clarity was the most cited factor for removal or revision of items. Expert panel review resulted in the removal of one additional item and the revision of seven items.Fifty-eight candidate items were retained for inclusion in field testing and future analyses using item response theory modeling. Conclusion: PreDict fills an important gap in measurement of discrimination, which is known to influence patient health outcomes. Development and testing to date demonstrate evidence of validity in characterizing the complex phenomenon of healthcare discrimination.

Timeliness of diagnostic evaluation for postmenopausal bleeding: A retrospective cohort study using claims data.

BACKGROUND: Postmenopausal bleeding (PMB) is a common gynecologic condition. Although it can be a sign of uterine cancer, most patients have benign etiology. However, research on quality of diagnostic evaluation for PMB has been limited to cancer patients. To extend this research, we examined the timeliness of diagnostic evaluation for PMB among patients with benign conditions. METHODS: Using the 2008-2019 MarketScan Research Databases, we identified 499176 patients (456741 with commercial insurance and 42435 with Medicaid insurance) who presented with PMB but did not have gynecologic cancer. For each patient, we measured the time from their PMB reporting to the date of their first diagnostic procedure. The association between patient characteristics and time to first diagnostic procedure was examined using Cox proportional hazards models (for the overall sample and then stratified by insurance type). RESULTS: Overall, 54.3% of patients received a diagnostic procedure on the same day when they reported PMB and 86.6% received a diagnostic procedure within 12 months after reporting PMB. These percentages were 39.4% and 77.1%, respectively, for Medicaid patients, compared to 55.7% and 87.4%, respectively, for commercially insured patients (p<0.001 for both). Medicaid patients had an 18% lower rate of receiving a diagnostic procedure at any given time point than commercially insured patients (adjusted hazard ratio = 0.82, 95% CI: 0.81-0.83). Meanwhile, older age and non-gynecologic comorbidities were associated with a lower rate whereas concomitant gynecologic conditions and recent use of preventive care were associated with a higher rate of receiving diagnostic procedures. Analysis stratified by insurance type identified additional risk factors for delayed diagnostic procedures (e.g., non-metropolitan versus metropolitan location for commercially insured patients and Black versus White race for Medicaid patients). CONCLUSION: A sizable proportion of patients did not receive prompt diagnostic evaluation for PMB. Both clinical and non-clinical factors could affect timeliness of evaluation.

Classification of blood pressure during sleep impacts designation of nocturnal nondipping.

The identification of nocturnal nondipping blood pressure (< 10% drop in mean systolic blood pressure from awake to sleep periods), as captured by ambulatory blood pressure monitoring, is a valuable element of risk prediction for cardiovascular disease, independent of daytime or clinic blood pressure measurements. However, capturing measurements, including determination of wake/sleep periods, is challenging. Accordingly, we sought to evaluate the impact of different definitions and algorithms for defining sleep onset on the classification of nocturnal nondipping. Using approaches based upon participant self-reports, applied definition of a common sleep period (12 am -6 am), manual actigraphy, and automated actigraphy we identified changes to the classification of nocturnal nondipping, and conducted a secondary analysis on the potential impact of an ambulatory blood pressure monitor on sleep. Among 61 participants in the Eastern Caribbean Health Outcomes Research Network hypertension study with complete ambulatory blood pressure monitor and sleep data, the concordance for nocturnal nondipping across methods was 0.54 by Fleiss' Kappa (depending on the method, 36 to 51 participants classified as having nocturnal nondipping). Sleep quality for participants with dipping versus nondipping was significantly different for total sleep length when wearing the ambulatory blood pressure monitor (shorter sleep duration) versus not (longer sleep duration), although there were no differences in sleep efficiency or disturbances. These findings indicate that consideration of sleep time measurements is critical for interpreting ambulatory blood pressure. As technology advances to detect blood pressure and sleep patterns, further investigation is needed to determine which method should be used for diagnosis, treatment, and future cardiovascular risk.

Excess Mortality and Years of Potential Life Lost Among the Black Population in the US, 1999-2020.

Importance: Amid efforts in the US to promote health equity, there is a need to assess recent progress in reducing excess deaths and years of potential life lost among the Black population compared with the White population. Objective: To evaluate trends in excess mortality and years of potential life lost among the Black population compared with the White population. Design, setting, and participants: Serial cross-sectional study using US national data from the Centers for Disease Control and Prevention from 1999 through 2020. We included data from non-Hispanic White and non-Hispanic Black populations across all age groups. Exposures: Race as documented in the death certificates. Main outcomes and measures: Excess age-adjusted all-cause mortality, cause-specific mortality, age-specific mortality, and years of potential life lost rates (per 100 000 individuals) among the Black population compared with the White population. Results: From 1999 to 2011, the age-adjusted excess mortality rate declined from 404 to 211 excess deaths per 100 000 individuals among Black males (P for trend <.001). However, the rate plateaued from 2011 through 2019 (P for trend = .98) and increased in 2020 to 395-rates not seen since 2000. Among Black females, the rate declined from 224 excess deaths per 100 000 individuals in 1999 to 87 in 2015 (P for trend <.001). There was no significant change between 2016 and 2019 (P for trend = .71) and in 2020 rates increased to 192-levels not seen since 2005. The trends in rates of excess years of potential life lost followed a similar pattern. From 1999 to 2020, the disproportionately higher mortality rates in Black males and females resulted in 997 623 and 628 464 excess deaths, respectively, representing a loss of more than 80 million years of life. Heart disease had the highest excess mortality rates, and the excess years of potential life lost rates were largest among infants and middle-aged adults. Conclusions and relevance: Over a recent 22-year period, the Black population in the US experienced more than 1.63 million excess deaths and more than 80 million excess years of life lost when compared with the White population. After a period of progress in reducing disparities, improvements stalled, and differences between the Black population and the White population worsened in 2020.

Self-Management and Glycemic Targets in Adult Haitian Immigrants With Type 2 Diabetes: Research Protocol.

BACKGROUND: Type 2 diabetes (T2D) is a chronic condition affecting more than 34.2 million U.S. adults, and people of African descent have a disproportionate burden. Haitian immigrants' unique cultural and biological factors put them at elevated risk for T2D-related complications. Despite prior research highlighting the success of multimethod approaches to T2D self-management behaviors on glycemic targets, a dearth of studies have used these methods to improve diabetes self-management in this marginalized population. OBJECTIVES: This article describes a repeated-measures design protocol of a going study about self-management behaviors among adult Haitian immigrants with T2D and characterizing their barriers to T2D self-management. METHODS: We will enroll 100 Haitian immigrants aged 18-64 years who have lived with T2D for at least 1 year. Using multiple recruitment methods and Research Electronic Data Capture, subjective and objective data on T2D self-management practices, glucose variability via continuous glucose monitor, and a comprehensive view of physical activity via actigraphy are collected. RESULTS: Data analysis will follow a two-part approach mirroring the two primary study objectives. DISCUSSION: Findings from the study will guide the development and testing of a culturally tailored diabetes self-management education program that will contribute essential information about best practices for this population and break barriers that may impede research on unique individuals and subsequent effective self-management.

Consumption of sugar-sweetened beverages and T2D diabetes in the Eastern Caribbean.

OBJECTIVE: Sugar-sweetened beverages (SSB) are implicated in the increasing risk of diabetes in the Caribbean. Few studies have examined associations between SSB consumption and diabetes in the Caribbean. DESIGN: SSB was measured as teaspoon/d using questions from the National Cancer Institute Dietary Screener Questionnaire about intake of soda, juice and coffee/tea during the past month. Diabetes was measured using self-report, HbA1C and use of medication. Logistic regression was used to examine associations. SETTING: Baseline data from the Eastern Caribbean Health Outcomes Research Network Cohort Study (ECS), collected in Barbados, Puerto Rico, Trinidad and Tobago and US Virgin Islands, were used for analysis. PARTICIPANTS: Participants (n 1701) enrolled in the ECS. RESULTS: Thirty-six percentage of participants were unaware of their diabetes, 33% aware and 31% normoglycaemic. Total mean intake of added sugar from SSB was higher among persons 40-49 (9·4 tsp/d), men (9·2 tsp/d) and persons with low education (7·0 tsp/d). Participants who were unaware (7·4 tsp/d) or did not have diabetes (7·6 tsp/d) had higher mean SSB intake compared to those with known diabetes (5·6 tsp/d). In multivariate analysis, total added sugar from beverages was not significantly associated with diabetes status. Results by beverage type showed consumption of added sugar from soda was associated with greater odds of known (OR = 1·37, 95 % CI (1·03, 1·82)) and unknown diabetes (OR = 1·54, 95 % CI (1·12, 2·13)). CONCLUSIONS: Findings indicate the need for continued implementation and evaluation of policies and interventions to reduce SSB consumption in the Caribbean.

Racial disparities in diagnostic evaluation of uterine cancer among Medicaid beneficiaries.

BACKGROUND: To inform reasons contributing to Black-White disparity in early diagnosis of uterine cancer, we compared the quality of diagnostic evaluation received by Black vs White patients with abnormal uterine bleeding (AUB) ultimately diagnosed with uterine cancer. METHODS: Using 2008-2019 MarketScan Multi-State Medicaid Database, we identified Black (n = 858) and White (n = 1749) patients with uterine cancer presenting with AUB. Quality of diagnostic evaluation was measured by delayed diagnosis (>1 year after AUB reporting), not receiving guideline-recommended diagnostic procedures, delayed time to first diagnostic procedure (>2 months after AUB reporting), number of diagnostic procedures received, and number of evaluation and management visits for AUB. The association between race and quality indicators was examined by multivariable regressions adjusting for patient characteristics. RESULTS: Black patients were more likely than White patients to experience delayed diagnosis (11.3% vs 8.3%, P = .01; adjusted odds ratio [OR] = 1.71, 95% confidence interval [CI] = 1.27 to 2.29) or to not receive guideline-recommended diagnostic procedures (10.1% vs 5.0%, P < .001; adjusted OR = 1.94, 95% CI = 1.40 to 2.68). Even when they did receive recommended diagnostic procedures, Black patients were more likely than White patients to experience delay in time to the first diagnostic procedure (adjusted OR = 1.46, 95% CI = 1.09 to 1.97). In addition, Black patients underwent more evaluation and management visits for AUB before getting diagnosed compared with White patients (adjusted mean ratio = 1.13, 95% CI = 1.04 to 1.23). CONCLUSIONS: Black and White patients with uterine cancer differed in the quality of diagnostic evaluation received. Improving equity in this area may help reduce Black-White disparity in stage at diagnosis.

The Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study: Design, Methods, and Baseline Characteristics.

Noncommunicable diseases (NCDs) account for a higher proportion of mortality and morbidity in the Caribbean and US territories-majority-minority communities-than in the United States or Canada. Strategies to address this disparity include enhancing data collection efforts among racial/ethnic communities. The ECHORN Cohort Study (ECS), a regional adult cohort study, estimates prevalence and assesses risk factors for NCDs in two United States territories and two Caribbean islands. Here, we describe the cohort study approach, sampling methods, data components, and demographic makeup for wave one participants. We enrolled ECS participants from each participating island using random and probability sampling frames. Data components include a clinical examination, laboratory tests, a brief clinical questionnaire, and a self-administered health survey. A subset of ECS participants provided a blood sample to biobank for future studies. Approximately 2961 participants were enrolled in wave one of the ECS. On average, participants are 57 years of age, and the majority self-identify as female. Data from the ECS allow for comparisons of NCD outcomes among racial/ethnic populations in the US territories and the US and evaluations of the impact of COVID-19 on NCD management and will help highlight opportunities for new research.

Centering Health Equity Within COVID-19 Contact Tracing: Connecticut's Community Outreach Specialist Program.

CONTEXT: The COVID-19 pandemic has disproportionately impacted vulnerable populations, including those who are non-English-speaking and those with lower socioeconomic status; yet, participation of these groups in contact tracing was initially low. Distrust of government agencies, anticipated COVID-19-related stigma, and language and cultural barriers between contact tracers and communities are common challenges. PROGRAM: The Community Outreach Specialist (COS) program was established within the Connecticut Department of Public Health (DPH) COVID-19 contact tracing program to encourage participation in contact tracing and address a need for culturally competent care and social and material support among socially vulnerable and non-English-speaking populations in 11 high-burden jurisdictions in Connecticut. IMPLEMENTATION: In partnership with state and local health departments, we recruited 25 COS workers with relevant language skills from target communities and trained them to deliver contact tracing services to vulnerable and non-English speaking populations. EVALUATION: We conducted a cross-sectional analysis using data from ContaCT, DPH's enterprise contact tracing system. Overall, the COS program enrolled 1938 cases and 492 contacts. The proportion of residents reached (ie, called and interviewed) in the COS program was higher than that in the regular contact tracing program for both cases (70% vs 57%, P < .001) and contacts (84% vs 64%, P < .001). After adjusting for client age, sex, race and ethnicity, language, and jurisdiction, we found that the COS program was associated with increased reach for contacts (odds ratio [OR] = 1.52; 95% confidence interval [95% CI], 1.17-1.99) but not for cases (OR = 0.78; 95% CI, 0.70-0.88). Rapid qualitative analysis of programmatic field notes and meeting reports provided evidence that the COS program was feasible and acceptable to clients and contributed to COVID-19 education and communication efforts. CONCLUSION: A COS program employing a client-centered, community-engaged strategy for reaching vulnerable and non-English-speaking populations was feasible and more effective at reaching contacts than standard COVID-19 contact tracing.

Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data.

Improving public health initiative requires an accurate anthropometric index that is better suited to a specific community. In this study, the anthropometric grouping index is proposed as a more efficient and discriminatory alternative to the popular BMI for the Eastern Caribbean population. A completely distribution-free cluster analysis was performed to obtain the 11 categories, leading to AGI-11. Further, we studied these groups using novel non-parametric clustering summaries. Finally, two generalized linear mixed models were fitted to assess the association between elevated blood sugar, AGI-11 and BMI. Our results showed that AGI-11 tends to be more sensitive in predicting levels of elevated blood sugar compared to BMI. For instance, individuals identified as obese III according to BMI are (POR: 2.57; 95% CI: (1.68, 3.74)) more likely to have elevated blood sugar levels, while, according to AGI, individuals with similar characteristics are (POR: 3.73; 95% CI: (2.02, 6.86)) more likely to have elevated blood sugar levels. In conclusion, the findings of the current study suggest that AGI-11 could be used as a predictor of high blood sugar levels in this population group. Overall, higher values of anthropometric measures correlated with a higher likelihood of high blood sugar levels after adjusting by sex, age, and family history of diabetes.

Evaluation of Racial Disparities in Quality of Care for Patients With Gastrointestinal Tract Cancer Treated With Surgery.

Importance: Racial disparities have been demonstrated in many facets of health care, but a comprehensive understanding of who is most at risk for substandard surgical care of gastrointestinal tract cancers is lacking. Objective: To examine racial disparities in quality of care of patients with gastrointestinal tract cancers. Design, Setting, and Participants: This retrospective cohort study of patients with gastrointestinal tract cancer included the US population as captured in the National Cancer Database with a diagnosis from January 1, 2004, to December 31, 2017. Participants included 565 124 adults who underwent surgical resection of gastrointestinal tract cancers. Data were analyzed from June 21 to December 23, 2021. Exposures: Race and site of cancer. Main Outcomes and Measures: Oncologic standard of care, as defined by negative resection margin, adequate lymphadenectomy, and receipt of indicated adjuvant chemotherapy and/or radiotherapy. Results: Among 565 124 adult patients who underwent surgical resection of a gastrointestinal tract cancer, 10.9% were Black patients, 83.5% were White patients, 54.7% were men, and 50.7% had Medicare coverage. The most common age range at diagnosis was 60 to 69 years (28.5%). Longer median survival was associated with negative resection margins (87.3 [IQR, 28.5-161.9] months vs 22.9 [IQR, 8.8-69.2] months; P < .001) and adequate lymphadenectomies (80.7 [IQR, 25.6 to not reached] months vs 57.6 [IQR, 17.7-153.8] months; P < .001). After adjustment for covariates, Black patients were less likely than White patients to have negative surgical margins overall (odds ratio [OR], 0.96 [95% CI, 0.93-0.98]) and after esophagectomy (OR, 0.71 [95% CI, 0.58-0.87]), proctectomy (OR, 0.71 [95% CI, 0.66-0.76]), and biliary resection (OR, 0.75 [95% CI, 0.61-0.91]). Black patients were also less likely to have adequate lymphadenectomy overall (OR, 0.89 [95% CI, 0.87-0.91]) and after colectomy (OR, 0.89 [95% CI, 0.87-0.92]), esophagectomy (OR, 0.72 [95% CI, 0.63-0.83]), pancreatectomy (OR, 0.90 [95% CI, 0.85-0.96]), proctectomy (OR, 0.93 [95% CI, 0.88-0.98]), proctocolectomy (OR, 0.90 [95% CI, 0.81-1.00]), and enterectomy (OR, 0.71 [95% CI, 0.65-0.79]). Black patients were more likely than White patients not to be recommended for chemotherapy (OR, 1.15 [95% CI, 1.10-1.21]) and radiotherapy (OR, 1.49 [95% CI, 1.35-1.64]) because of comorbidities and more likely not to receive recommended chemotherapy (OR, 1.68 [95% CI, 1.55-1.82]) and radiotherapy (OR, 2.18 [95% CI, 1.97-2.41]) for unknown reasons. Conclusions and Relevance: These findings suggest that there are significant racial disparities in surgical care of gastrointestinal tract cancers. Black patients are less likely than White patients to receive standard of care with respect to negative surgical margins, adequate lymphadenectomies, and use of adjuvant therapies. Both system- and physician-level reforms are needed to eradicate these disparities in health care.

Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018.

Importance: Historically marginalized racial and ethnic groups are generally more likely to experience sleep deficiencies. It is unclear how these sleep duration disparities have changed during recent years. Objective: To evaluate 15-year trends in racial and ethnic differences in self-reported sleep duration among adults in the US. Design, Setting, and Participants: This serial cross-sectional study used US population-based National Health Interview Survey data collected from 2004 to 2018. A total of 429 195 noninstitutionalized adults were included in the analysis, which was performed from July 26, 2021, to February 10, 2022. Exposures: Self-reported race, ethnicity, household income, and sex. Main Outcomes and Measures: Temporal trends and racial and ethnic differences in short (<7 hours in 24 hours) and long (>9 hours in 24 hours) sleep duration and racial and ethnic differences in the association between sleep duration and age. Results: The study sample consisted of 429 195 individuals (median [IQR] age, 46 [31-60] years; 51.7% women), of whom 5.1% identified as Asian, 11.8% identified as Black, 14.7% identified as Hispanic or Latino, and 68.5% identified as White. In 2004, the adjusted estimated prevalence of short and long sleep duration were 31.4% and 2.5%, respectively, among Asian individuals; 35.3% and 6.4%, respectively, among Black individuals; 27.0% and 4.6%, respectively, among Hispanic or Latino individuals; and 27.8% and 3.5%, respectively, among White individuals. During the study period, there was a significant increase in short sleep prevalence among Black (6.39 [95% CI, 3.32-9.46] percentage points), Hispanic or Latino (6.61 [95% CI, 4.03-9.20] percentage points), and White (3.22 [95% CI, 2.06-4.38] percentage points) individuals (P < .001 for each), whereas prevalence of long sleep changed significantly only among Hispanic or Latino individuals (-1.42 [95% CI, -2.52 to -0.32] percentage points; P = .01). In 2018, compared with White individuals, short sleep prevalence among Black and Hispanic or Latino individuals was higher by 10.68 (95% CI, 8.12-13.24; P < .001) and 2.44 (95% CI, 0.23-4.65; P = .03) percentage points, respectively, and long sleep prevalence was higher only among Black individuals (1.44 [95% CI, 0.39-2.48] percentage points; P = .007). The short sleep disparities were greatest among women and among those with middle or high household income. In addition, across age groups, Black individuals had a higher short and long sleep duration prevalence compared with White individuals of the same age. Conclusions and Relevance: The findings of this cross-sectional study suggest that from 2004 to 2018, the prevalence of short and long sleep duration was persistently higher among Black individuals in the US. The disparities in short sleep duration appear to be highest among women, individuals who had middle or high income, and young or middle-aged adults, which may be associated with health disparities.

Perceptions of the local food environment and fruit and vegetable intake in the Eastern Caribbean Health Outcomes research Network (ECHORN) Cohort study.

INTRODUCTION: Studies conducted in the US and other high-income countries show that the local food environment influences dietary intakes that are protective for cardiovascular health.However, few studies have examined this relationship in the Caribbean. This study aimed to determine whether perceptions of the local food environment were associated with fruit and vegetable (FV) intake in the Eastern Caribbean, where daily FV intake remains below recommended levels. METHODS: Cross-sectional analysis of Eastern Caribbean Health Outcomes Research Network Cohort Study (ECS) baseline data (2013-2016) from Barbados, Puerto Rico, Trinidad and Tobago, and US Virgin Islands was conducted in 2020. The National Cancer Institute Dietary Screener Questionnaire was adapted to measure daily servings of FV. Existing scales were used to assess participant perceptions of the food environment (availability, affordability, and quality). Chi-square tests and Poisson regression were used for analyses. RESULTS: Participants reported eating one mean daily serving of FV. Mean daily intake was higher among those who perceived FV as usually/always affordable, available, and high quality. Multivariate results showed statistically significant associations between FV and affordability. Persons who perceived FV as affordable had 0.10 more daily servings of FV compared to those who reported FV as not always affordable (p = 0.02). Food insecurity modified the association between affordability and FV intake. CONCLUSIONS: This study highlights the importance of affordability in consumption of FV in the Eastern Caribbean, and how this relationship may be modified by food insecurity.

Technology Utilization in Black Adolescents with Type 1 Diabetes: Exploring the Decision-Making Process.

Background: Significant disparities in diabetes device (DD) use exist for Black adolescents with type 1 diabetes (T1D), meriting further exploration. We sought to describe how Black adolescents with T1D and their parents make decisions about using DDs and understand personal, familial, and cultural beliefs that may influence use. Materials and Methods: Nineteen Black adolescents with T1D and 17 parents participated in individual qualitative semistructured interviews. Adolescents were purposively sampled for a range of socioeconomic and clinical demographics. Interview data were recorded, transcribed, and coded for thematic analysis, analyzed separately for parents and adolescents, and then compared across groups. Data collection continued until thematic saturation was achieved. Results: Adolescents and parents reported similar themes related to the (1) intersectionality of multiple identities: T1D experience of Black adolescents; (2) decision to use DDs: complexities of T1D management and easing the burden; and (3) reasons for differential uptake of DDs in Black adolescents. Adolescents reported lacking peers with T1D "who look like me," leading to stigmatization, exacerbated by device visibility and alarms. Cultural and familial traditions as well as individual factors were described as both facilitators and barriers in DD use. Lack of familiarity with T1D, limited exposure to DDs, and mistrust of the medical community, both historically and currently, were brought up as reasons for inequities in DD use. Conclusions: Understanding the decision-making process surrounding DDs in one sample of Black adolescents and their parents is critical to guide further research to improve equity in DD use and glycemic outcomes.