Non-communicable chronic diseases and timely breast cancer screening among women of the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study

SHARE: An ethical framework for equitable data sharing in Caribbean health research

Data sharing increasingly underpins collaborative research to address complex regional and global public health problems. Advances in analytic tools, including machine learning, have expanded the potential benefits derived from large global repositories of open data. Participating in open data collaboratives offers opportunities for Caribbean researchers to advance the health of the region's population through shared data-driven science and policy. However, ethical challenges complicate these efforts. Here we discuss fundamental challenges that threaten to impede progress if not strategically addressed, including power dynamics among funders and researchers in high-income countries and Caribbean stakeholders; research and health equity; threats to privacy; and risk of stigma. These challenges may be exacerbated by resource and infrastructure limitations often seen in small island developing states (SIDS) and low- and middle-income countries. We propose a framework for Safeguarding Health And Research data sharing by promoting Equity (SHARE) for Caribbean researchers and communities participating in shared data science. Using the SHARE framework can support regionally relevant and culturally responsive work already underway in the region and further develop capacity for intentional sharing and (re)use of Caribbean health data.

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.

Association of diabetes and breast cancer characteristics at diagnosis

PURPOSE

This study aims to examine the association of diabetes and breast cancer characteristics at diagnosis in Aotearoa/New Zealand.

METHODS

Patients diagnosed with invasive breast cancer between 2005 and 2020 were identified from the National Breast Cancer Register. Logistic regression modeling was used to estimate the adjusted odds ratio (OR) of having stage III-IV cancer and the OR of having stage IV cancer for women with diabetes compared to those without diabetes. The adjusted OR of having screen-detected breast cancers for patients aged 45-69 years with diabetes compared to patients without diabetes was estimated.

RESULTS

26,968 women were diagnosed with breast cancer, with 3,137 (11.6%) patients having diabetes at the time of cancer diagnosis. The probability of co-occurrence of diabetes and breast cancer increased with time. Māori, Pacific and Asian women were more likely to have diabetes than European/Others. The probability of having diabetes also increased with age. For patients with diabetes, the probability of being diagnosed with stage III-IV cancer and stage IV cancer was higher than for patients without diabetes (OR 1.14, 95% CI 1.03-1.27; and 1.17, 95% CI 1.00-1.38). Women aged 45-69 years with diabetes were more likely to have screen-detected cancer than those without diabetes (OR 1.13, 95% CI 1.02-1.26).

CONCLUSIONS

The co-occurrence of diabetes and breast cancer is becoming more common. Overall there is a small but significant adverse impact of having advanced disease for women with diabetes that is found at the time of breast cancer diagnosis, and this may contribute to other inequities that occur in the treatment pathway that may impact on patient outcomes.

Glycemic control and management of cardiovascular risk factors among adults with diabetes in the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study

AIMS

To determine the level of glycemic control and cardiovascular (CVD) risk among adults with diabetes in the Eastern Caribbean.

METHODS

Baseline data from the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study (ECS) were used for the analysis. ECS participants were 40 years of age and older, residing in the US Virgin Islands, Puerto Rico, Trinidad, or Barbados. Participants completed a survey, physical exam, and laboratory studies. CVD risk was calculated using the Atherosclerotic CVD risk equation. Bivariate analysis followed by multinomial logistic regression was used to assess social and biological factors (education, lifestyle, access to care, medical history) associated with level of glycemic control.

RESULTS

Twenty-three percent of participants with diabetes had an HbA1c ≥ 9% (>75 mmol/mol). Participants with diabetes had poorly controlled CVD risk factors: 70.2% had SBP ≥ 130 mmHg, 52.2% had LDL ≥ 100 mg/dl (2.59 mmol/L), and 73.2% had a 10-year CVD risk of more than 10%. Age and education level were significant, independent predictors of glycemic control.

CONCLUSION

There is a high prevalence of uncontrolled diabetes among adults in ECS. The high burden of elevated CVD risk explains the premature mortality we see in the region. Strategies are needed to improve glycemic control and CVD risk factor management among individuals with diabetes in the Caribbean.

Differences in Breast Cancer Screening Practices by Diabetes Status and Race/Ethnicity in the United States

Introduction: Socioeconomic and health-related factors, including comorbid illness, may affect mammography screening rates and subsequently contribute to breast cancer outcomes. We explored the association between diabetes and mammography screening, and whether this association varied between racial, ethnic, and geographic groups. Methods: Cross-sectional data from the 2012, 2014, 2016, and 2018 Behavioral Risk Factor Surveillance System were used to fit logistic regression models assessing the association between diabetes and up-to-date mammography screening in 497,600 women, aged 50-74 years. Participants were considered exposed if they responded "yes" to "(Ever told) you have diabetes?" and up to date on screening if they responded "yes" to having a mammogram within the past 2 years. Models were adjusted for age, health status, socioeconomic, and access variables. Results: The majority of participants were White (79.6%), non-Hispanic (88.9%), and up to date on screening (78.8%). Overall, 16.8% reported having diabetes. In fully adjusted models, White women with diabetes were 12% more likely to be up to date on screening (odds ratio [OR]: 1.12, 95% confidence interval [CI]: 1.06-1.19) than those without diabetes. Black/African American women and those of Hispanic ethnicity with diabetes were more likely to report being up to date with mammography (OR_Black: 1.28, 95% CI: 1.12-1.45; OR_Hispanic: 1.19, 95% CI: 1.13-1.24) than those without. Patterns were similar across geographic regions. Conclusions: Women of ages 50-74 years with diabetes were more likely to be up to date on screening than women without diabetes. Chronic disease management may represent an opportunity to address cancer screening.

Breast Cancer in the Caribbean

Breast cancer (BC) is one of the leading causes of death among women globally. In the Caribbean, there is a higher mortality rate compared with North American and European countries which have higher incidence rates. We conducted a literature review to examine the BC dynamic in the Caribbean and determine the areas where further investigations are needed. The PubMed database was used for identifying relevant studies using a combination of specific keyword searches. All studies focusing on BC within the defined Caribbean population were selected for this review. A total of 117 papers were included. The data were organized and presented under the following headings and reported according to the country where available: BC incidence and mortality, patient demographics, clinicopathology, genetics, behavioral risks, diagnosis and treatment, and BC control. Our review uncovered major variability in the incidence, management, etiology, and mortality of BC among Caribbean countries. Low-resource countries are burdened by more advanced disease with expected poorer BC outcomes (i.e., shorter periods of disease-free survival). Countries with established national cancer registries seem to have a better approach to the management of BC. The introduction of cancer treatment programs in association with international nonprofit groups has shown tremendous improvement in quality, accessible cancer care for patients, particularly in low- and middle-income settings. BC research is relatively limited in the Caribbean, lacking in both scope and consistency. The unique Caribbean BC population of diverse ethnicities, environmental influence, immigrants, socioeconomic status, and sociocultural practices allows an optimal opportunity for epidemiological investigations that can provide deeper insights into the status of BC.

Anthropometric measures of obesity and associated cardiovascular disease risk in the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study

BACKGROUND

Accurately defining obesity using anthropometric measures that best capture obesity-related risk is important for identifying high risk groups for intervention. The purpose of this study is to compare the association of different anthropometric measures of obesity with 10-year cardiovascular disease (CVD) risk in adults in the Eastern Caribbean.

METHODS

Data from the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study (ECS) were analyzed. The ECS is comprised of adults aged 40 and older residing in the US Virgin Islands, Puerto Rico, Barbados, and Trinidad. 10-year CVD risk was calculated using the American Heart Association (ACC/AHA) ASCVD Risk Algorithm and categorized in the following high-risk groups: > 7.5, > 10, and > 20%. Logistic regression was used to examine associations between four anthropometric measures of obesity (BMI, waist circumference, waist-to-hip ratio, waist-to height ratio) and 10-year CVD risk.

RESULTS

Mean age (SD) of participants (n = 1617) was 56.6 years (±10.2), 64% were women, 74% were overweight/obese, and 24% had an ASCVD risk score above 10%. Elevated body mass index (BMI, > 30 kg/m2) and waist circumference were not associated with CVD risk. Elevated waist-to-hip ratio (WHR, > 0.9 men, > 0.85 women) and elevated waist-to-height ratio (> 0.5) were associated with all three categories of CVD risk. Area under the receiver curve was highest for WHR for each category of CVD risk. Elevated WHR demonstrated odds of 2.39, 2.58, and 3.32 (p < 0.0001) for CVD risk of > 7.5, > 10 and > 20% respectively.

CONCLUSION

Findings suggest that WHR is a better indicator than BMI of obesity-related CVD risk and should be used to target adults in the Caribbean, and of Caribbean-descent, for interventions.

Information Loss in Harmonizing Granular Race and Ethnicity Data: Descriptive Study of Standards

BACKGROUND

Data standards for race and ethnicity have significant implications for health equity research.

OBJECTIVE

We aim to describe a challenge encountered when working with a multiple-race and ethnicity assessment in the Eastern Caribbean Health Outcomes Research Network (ECHORN), a research collaborative of Barbados, Puerto Rico, Trinidad and Tobago, and the US Virgin Islands.

METHODS

We examined the data standards guiding harmonization of race and ethnicity data for multiracial and multiethnic populations, using the Office of Management and Budget (OMB) Statistical Policy Directive No. 15.

RESULTS

Of 1211 participants in the ECHORN cohort study, 901 (74.40%) selected 1 racial category. Of those that selected 1 category, 13.0% (117/901) selected Caribbean; 6.4% (58/901), Puerto Rican or Boricua; and 13.5% (122/901), the mixed or multiracial category. A total of 17.84% (216/1211) of participants selected 2 or more categories, with 15.19% (184/1211) selecting 2 categories and 2.64% (32/1211) selecting 3 or more categories. With aggregation of ECHORN data into OMB categories, 27.91% (338/1211) of the participants can be placed in the "more than one race" category.

CONCLUSIONS

This analysis exposes the fundamental informatics challenges that current race and ethnicity data standards present to meaningful collection, organization, and dissemination of granular data about subgroup populations in diverse and marginalized communities. Current standards should reflect the science of measuring race and ethnicity and the need for multidisciplinary teams to improve evolving standards throughout the data life cycle.

Toward Reducing Health Information Inequities in the Caribbean: Our Experience Building a Participatory Health Informatics Project

Precision medicine seeks to leverage technology to improve the health for all individuals. Successful health information systems rely fundamentally on the integration and sharing of data from a range of disparate sources. In many settings, basic infrastructure inequities exist that limit the usefulness of health information systems. We discuss the work of the Yale Transdisciplinary Collaborative Center for Health Disparities focused on Precision Medicine, which aims to improve the health of people in the Caribbean and Caribbean diaspora by leveraging precision medicine approaches. We describe a participatory informatics approach to sharing data as a potential mechanism to reducing inequities in the existing data infrastructure.