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.

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.

Relationship Between In-Hospital Adverse Events and Hospital Performance on 30-Day All-cause Mortality and Readmission for Patients With Heart Failure.

BACKGROUND: Hospitals with high mortality and readmission rates for patients with heart failure (HF) might also perform poorly in other quality concepts. We sought to evaluate the association between hospital performance on mortality and readmission with hospital performance rates of safety adverse events. METHODS: This cross-sectional study linked the 2009 to 2019 patient-level adverse events data from the Medicare Patient Safety Monitoring System, a randomly selected medical records-abstracted patient safety database, to the 2005 to 2016 hospital-level HF-specific 30-day all-cause mortality and readmissions data from the United States Centers for Medicare & Medicaid Services. Hospitals were classified to one of 3 performance categories based on their risk-standardized 30-day all-cause mortality and readmission rates: better (both in <25th percentile), worse (both >75th percentile), and average (otherwise). Our main outcome was the occurrence (yes/no) of one or more adverse events during hospitalization. A mixed-effect model was fit to assess the relationship between a patient's risk of having adverse events and hospital performance categories, adjusted for patient and hospital characteristics. RESULTS: The study included 39 597 patients with HF from 3108 hospitals, of which 252 hospitals (8.1%) and 215 (6.9%) were in the better and worse categories, respectively. The rate of patients with one or more adverse events during a hospitalization was 12.5% (95% CI, 12.1-12.8). Compared with patients admitted to better hospitals, patients admitted to worse hospitals had a higher risk of one or more hospital-acquired adverse events (adjusted risk ratio, 1.24 [95% CI, 1.06-1.44]). CONCLUSIONS: Patients admitted with HF to hospitals with high 30-day all-cause mortality and readmission rates had a higher risk of in-hospital adverse events. There may be common quality issues among these 3 measure concepts in these hospitals that produce poor performance for patients with HF.

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.

Breast cancer screening during the COVID-19 pandemic: moving from disparities to health equity.

The COVID-19 pandemic created unprecedented disruptions to routine health care in the United States. Screening mammography, a cornerstone of breast cancer control and prevention, was completely halted in the spring of 2020, and screening programs have continued to face challenges with subsequent COVID-19 waves. Although screening mammography rates decreased for all women during the pandemic, a number of studies have now clearly documented that reductions in screening have been greater for some populations than others. Specifically, minoritized women have been screened at lower rates than White women across studies, although the specific patterns of disparity vary depending on the populations and communities studied. We posit that these disparities are likely due to a variety of structural and contextual factors, including the differential impact of COVID-19 on communities. We also outline key considerations for closing gaps in screening mammography. First, practices, health systems, and communities must measure screening mammography use to identify whether gaps exist and which populations are most affected. Second, we propose that strategies to close disparities in breast cancer screening must be multifaceted, targeting the health system or practice, but also structural factors at the policy level. Health disparities arise from a complex set of conditions, and multimodal solutions that address the complex, multifactorial conditions that lead to disparities may be more likely to succeed and are necessary for promoting health equity.

Patient preferences for facility-based management of hypertension and diabetes in rural Uganda: a discrete choice experiment.

OBJECTIVE: To explore how respondents with common chronic conditions-hypertension (HTN) and diabetes mellitus (DM)-make healthcare-seeking decisions. SETTING: Three health facilities in Nakaseke District, Uganda. DESIGN: Discrete choice experiment (DCE). PARTICIPANTS: 496 adults with HTN and/or DM. MAIN OUTCOME MEASURES: Willingness to pay for changes in DCE attributes: getting to the facility, interactions with healthcare providers, availability of medicines for condition, patient peer-support groups; and education at the facility. RESULTS: Respondents were willing to pay more to attend facilities that offer peer-support groups, friendly healthcare providers with low staff turnover and greater availabilities of medicines. Specifically, we found the average respondent was willing to pay an additional 77 121 Ugandan shillings (UGX) for facilities with peer-support groups over facilities with none; and 49 282 UGX for 1 month of medicine over none, all other things being equal. However, respondents would have to compensated to accept facilities that were further away or offered health education. Specifically, the average respondent would have to be paid 3929 UGX to be willing to accept each additional kilometre they would have to travel to the facilities, all other things being equal. Similarly, the average respondent would have to be paid 60 402 UGX to accept facilities with some health education, all other things being equal. CONCLUSIONS: Our findings revealed significant preferences for health facilities based on the availability of medicines, costs of treatment and interactions with healthcare providers. Understanding patient preferences can inform intervention design to optimise healthcare service delivery for patients with HTN and DM in rural Uganda and other low-resource settings.

Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States.

Importance: It is known that hospitalized patients who experience adverse events are at greater risk of readmission; however, it is unknown whether patients admitted to hospitals with higher risk-standardized readmission rates had a higher risk of in-hospital adverse events. Objective: To evaluate whether patients with pneumonia admitted to hospitals with higher risk-standardized readmission rates had a higher risk of adverse events. Design, Setting, and Participants: This cross-sectional study linked patient-level adverse events data from the Medicare Patient Safety Monitoring System (MPSMS), a randomly selected medical record abstracted database, to the hospital-level pneumonia-specific all-cause readmissions data from the Centers for Medicare & Medicaid Services. Patients with pneumonia discharged from July 1, 2010, through December 31, 2019, in the MPSMS data were included. Hospital performance on readmissions was determined by the risk-standardized 30-day all-cause readmission rate. Mixed-effects models were used to examine the association between adverse events and hospital performance on readmissions, adjusted for patient and hospital characteristics. Analysis was completed from October 2019 through July 2020 for data from 2010 to 2017 and from March through April 2022 for data from 2018 to 2019. Exposures: Patients hospitalized for pneumonia. Main Outcomes and Measures: Adverse events were measured by the rate of occurrence of hospital-acquired events and the number of events per 1000 discharges. Results: The sample included 46 047 patients with pneumonia, with a median (IQR) age of 71 (58-82) years, with 23 943 (52.0%) women, 5305 (11.5%) Black individuals, 37 763 (82.0%) White individuals, and 2979 (6.5%) individuals identifying as another race, across 2590 hospitals. The median hospital-specific risk-standardized readmission rate was 17.0% (95% CI, 16.3%-17.7%), the occurrence rate of adverse events was 2.6% (95% CI, 2.54%-2.65%), and the number of adverse events per 1000 discharges was 157.3 (95% CI, 152.3-162.5). An increase by 1 IQR in the readmission rate was associated with a relative 13% higher patient risk of adverse events (adjusted odds ratio, 1.13; 95% CI, 1.08-1.17) and 5.0 (95% CI, 2.8-7.2) more adverse events per 1000 discharges at the patient and hospital levels, respectively. Conclusions and Relevance: Patients with pneumonia admitted to hospitals with high all-cause readmission rates were more likely to develop adverse events during the index hospitalization. This finding strengthens the evidence that readmission rates reflect the quality of hospital care for pneumonia.

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.

A cross-sectional analysis of mental health disorders in a mental health services-seeking population of children, adolescents, and young adults in the context of ongoing violence and displacement in northern Cameroon.

BACKGROUND: Displacement and conflict exposure are known risk factors for mental health conditions. Here, we examine the mental health of youth in a conflict-affected region of Cameroon. METHODS: Participants were recruited from among beneficiaries of a project conducted by Univers Psy and the United Nations Population Fund in Cameroon's Far North region. Community health workers conducted sensitization campaigns, following which they referred adolescents and young adults who self-identified as having mental health concerns to clinical psychologists. We ultimately conducted chart reviews of 948 of these youth. Univariate analyses using chi-squared tests were used to assess the relationships among demographics, displacement status, and mental health. Logistic regressions were then performed to determine the odds of having a psychiatric disorder based on displacement status. OUTCOME: Sixty-eight percent of evaluated youth met criteria for a psychiatric disorder. Anxiety disorders were most prevalent at 24.3%, followed by trauma- and stressor-related disorders at 17.0%, and mood disorders at 8.0%. Refugees and IDPs had 0.11 (95% CI 0.06, 0.19) and 0.46 (95% CI 0.29, 0.74) odds, respectively, of any diagnosis compared to the host population. Females had 1.71 (95% CI 1.17, 2.50) odds of an anxiety disorder and 2.18 (95% CI 1.16, 4.10) odds of a mood disorder compared to males. INTERPRETATION: In a youth sample in Cameroon self-identified as having mental health concerns, this study found high rates of psychiatric illness, particularly anxiety disorders. We found a higher prevalence among host population individuals than among displaced individuals and especially in the female population.

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.

Rates of Adverse Events in Hospitalized Patients After Summer-Time Resident Changeover in the United States: Is There a July Effect?

OBJECTIVES: This study aimed to determine whether patients in teaching hospitals are at higher risk of suffering from an adverse event during the summer trainee changeover period. METHODS: We performed a retrospective analysis of data from the Medicare Patient Safety Monitoring System, a medical-record abstraction-based database in the United States. Hospital admissions from 2010 to 2017 for acute myocardial infarction, heart failure, pneumonia, or a major surgical procedure were studied. Admissions were divided into nonsurgical (acute myocardial infarction, heart failure, or pneumonia) and surgical. Adverse event rates in July/August were compared with the rest of the year. Hospitals were stratified into major teaching, minor teaching, or nonteaching. Results were adjusted for patient demographics, comorbidities, and hospital characteristics. Outcomes were the adjusted odds of having at least 1 adverse event in July/August versus the rest of the year. RESULTS: We included 185,652 hospital admissions. The adjusted odds ratios (ORs) of suffering from at least one adverse event in a major teaching hospital in July/August was 0.83 (95% confidence interval [CI], 0.69-0.98) for nonsurgical patients and 1.09 (95% CI, 0.84-1.40) for surgical patients. In minor teaching hospitals, the adjusted ORs were 0.96 (95% CI, 0.88-1.04) for nonsurgical patients and 0.99 (95% CI, 0.87-1.12) for surgical patients. In nonteaching hospitals, the adjusted ORs were 0.98 (95% CI, 0.91-1.06) for nonsurgical patients and 1.10 (95% CI, 0.96-1.24) for surgical patients. CONCLUSIONS: Patients admitted to teaching hospitals in July/August are not at increased risk of adverse events. These findings should reassure patients and medical educators that patients are not excessively endangered by admission to the hospital during these months.

The potential impact of triage protocols on racial disparities in clinical outcomes among COVID-positive patients in a large academic healthcare system.

BACKGROUND: The COVID-19 pandemic has had a devastating impact in the United States, particularly for Black populations, and has heavily burdened the healthcare system. Hospitals have created protocols to allocate limited resources, but there is concern that these protocols will exacerbate disparities. The sequential organ failure assessment (SOFA) score is a tool often used in triage protocols. In these protocols, patients with higher SOFA scores are denied resources based on the assumption that they have worse clinical outcomes. The purpose of this study was to assess whether using SOFA score as a triage tool among COVID-positive patients would exacerbate racial disparities in clinical outcomes. METHODS: We analyzed data from a retrospective cohort of hospitalized COVID-positive patients in the Yale-New Haven Health System. We examined associations between race/ethnicity and peak overall/24-hour SOFA score, in-hospital mortality, and ICU admission. Other predictors of interest were age, sex, primary language, and insurance status. We used one-way ANOVA and chi-square tests to assess differences in SOFA score across racial/ethnic groups and linear and logistic regression to assess differences in clinical outcomes by sociodemographic characteristics. RESULTS: Our final sample included 2,554 patients. Black patients had higher SOFA scores compared to patients of other races. However, Black patients did not have significantly greater in-hospital mortality or ICU admission compared to patients of other races. CONCLUSION: While Black patients in this sample of hospitalized COVID-positive patients had higher SOFA scores compared to patients of other races, this did not translate to higher in-hospital mortality or ICU admission. Results demonstrate that if SOFA score had been used to allocate care, Black COVID patients would have been denied care despite having similar clinical outcomes to white patients. Therefore, using SOFA score to allocate resources has the potential to exacerbate racial inequities by disproportionately denying care to Black patients and should not be used to determine access to care. Healthcare systems must develop and use COVID-19 triage protocols that prioritize equity.

Racial disparities in the SOFA score among patients hospitalized with COVID-19.

BACKGROUND: Sequential Organ Failure Assessment (SOFA) score predicts probability of in-hospital mortality. Many crisis standards of care suggest the use of SOFA scores to allocate medical resources during the COVID-19 pandemic. RESEARCH QUESTION: Are SOFA scores elevated among Non-Hispanic Black and Hispanic patients hospitalized with COVID-19, compared to Non-Hispanic White patients? STUDY DESIGN AND METHODS: Retrospective cohort study conducted in Yale New Haven Health System, including 5 hospitals with total of 2681 beds. Study population drawn from consecutive patients aged ≥18 admitted with COVID-19 from March 29th to August 1st, 2020. Patients excluded from the analysis if not their first admission with COVID-19, if they did not have SOFA score recorded within 24 hours of admission, if race and ethnicity data were not Non-Hispanic Black, Non-Hispanic White, or Hispanic, or if they had other missing data. The primary outcome was SOFA score, with peak score within 24 hours of admission dichotomized as <6 or ≥6. RESULTS: Of 2982 patients admitted with COVID-19, 2320 met inclusion criteria and were analyzed, of whom 1058 (45.6%) were Non-Hispanic White, 645 (27.8%) were Hispanic, and 617 (26.6%) were Non-Hispanic Black. Median age was 65.0 and 1226 (52.8%) were female. In univariate logistic screen and in full multivariate model, Non-Hispanic Black patients but not Hispanic patients had greater odds of an elevated SOFA score ≥6 when compared to Non-Hispanic White patients (OR 1.49, 95%CI 1.11-1.99). INTERPRETATION: Given current unequal patterns in social determinants of health, US crisis standards of care utilizing the SOFA score to allocate medical resources would be more likely to deny these resources to Non-Hispanic Black patients.

Feasibility of a daily noise monitoring intervention for prevention of noise-induced hearing loss.

BACKGROUND: Despite the existence of hearing conservation programmes complying with regulatory standards, noise-induced hearing loss (NIHL) remains one of the most prevalent occupational diseases. Compulsory daily monitoring of noise exposure has been associated with decreased NIHL risk. We report on the experience of a voluntary daily noise monitoring intervention among noise-exposed workers. METHODS: Workers at three locations of a metals manufacturing company voluntarily used an in-ear noise monitoring device that could record and download, on a daily basis, the noise exposure inside of their hearing protection. We compared the hearing loss rates (in decibels hearing level/year) in these volunteers to controls from the same company matched for job title, age, gender, race, plant location, and baseline hearing level. RESULTS: Over the follow-up period, 110 volunteers for whom controls could be identified monitored daily noise exposures an average of 150 times per year. Noise exposures inside of hearing protection were lower than ambient noise levels estimated from company records. While there was no significant difference in hearing loss rates between volunteers and controls, volunteers downloading exposures 150 times per year or had less hearing loss than those who downloaded less frequently. CONCLUSION: These results indicate that voluntary daily noise exposure monitoring by workers is feasible and that greater frequency of downloading is associated with less hearing loss. If further development of noise monitoring technology can improve usability and address barriers to daily use, regular self-monitoring of noise exposure could improve the effectiveness of hearing conservation programmes. TRIAL REGISTRATION NUMBER: NCT01714375.

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.

Association Between Medicare Expenditures and Adverse Events for Patients With Acute Myocardial Infarction, Heart Failure, or Pneumonia in the United States.

Importance: Studies have shown that adverse events are associated with increasing inpatient care expenditures, but contemporary data on the association between expenditures and adverse events beyond inpatient care are limited. Objective: To evaluate whether hospital-specific adverse event rates are associated with hospital-specific risk-standardized 30-day episode-of-care Medicare expenditures for fee-for-service patients discharged with acute myocardial infarction (AMI), heart failure (HF), or pneumonia. Design, Setting, and Participants: This cross-sectional study used the 2011 to 2016 hospital-specific risk-standardized 30-day episode-of-care expenditure data from the Centers for Medicare & Medicaid Services and medical record-abstracted in-hospital adverse event data from the Medicare Patient Safety Monitoring System. The setting was acute care hospitals treating at least 25 Medicare fee-for-service patients for AMI, HF, or pneumonia in the United States. Participants were Medicare fee-for-service patients 65 years or older hospitalized for AMI, HF, or pneumonia included in the Medicare Patient Safety Monitoring System in 2011 to 2016. The dates of analysis were July 16, 2017, to May 21, 2018. Main Outcomes and Measures: Hospitals' risk-standardized 30-day episode-of-care expenditures and the rate of occurrence of adverse events for which patients were at risk. Results: The final study sample from 2194 unique hospitals included 44 807 patients (26.1% AMI, 35.6% HF, and 38.3% pneumonia) with a mean (SD) age of 79.4 (8.6) years, and 52.0% were women. The patients represented 84 766 exposures for AMI, 96 917 exposures for HF, and 109 641 exposures for pneumonia. Patient characteristics varied by condition but not by expenditure category. The mean (SD) risk-standardized expenditures were $22 985 ($1579) for AMI, $16 020 ($1416) for HF, and $16 355 ($1995) for pneumonia per hospitalization. The mean risk-standardized rates of occurrence of adverse events for which patients were at risk were 3.5% (95% CI, 3.4%-3.6%) for AMI, 2.5% (95% CI, 2.5%-2.5%) for HF, and 3.0% (95% CI, 2.9%-3.0%) for pneumonia. An increase by 1 percentage point in the rate of occurrence of adverse events was associated with an increase in risk-standardized expenditures of $103 (95% CI, $57-$150) for AMI, $100 (95% CI, $29-$172) for HF, and $152 (95% CI, $73-$232) for pneumonia per discharge. Conclusions and Relevance: Hospitals with high adverse event rates were more likely to have high 30-day episode-of-care Medicare expenditures for patients discharged with AMI, HF, or pneumonia.

Egocentric Health Networks and Cardiovascular Risk Factors in the ECHORN Cohort Study.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the Caribbean region. OBJECTIVE: This study explored the concept of a health network, relationships focused on health-related matters, and examined associations with CVD risk factors in the Eastern Caribbean. DESIGN: The Eastern Caribbean Health Outcomes Research Network Cohort Study is an ongoing longitudinal cohort being conducted in the US Virgin Islands, Puerto Rico, Trinidad and Tobago, and Barbados. PARTICIPANTS: Participants (n = 1989) were English or Spanish-speaking adults 40 years and older, who were residents of the island for at least 10 years, and who intended to live on-island for the next 5 years. MAIN MEASURES: Logistic regression was used to examine associations between health network characteristics and CVD risk factors: physical activity, hypertension, and smoking. A baseline survey asked questions about health networks using name generator questions that assessed who participants spoke to about health matters, whose opinions on healthcare mattered, and who they would trust to make healthcare decisions on their behalf. KEY RESULTS: Health networks were mainly comprised of family members and friends. Healthcare professionals comprised 7% of networks, mean network size was four, and 74% of health network contacts were perceived to be in "good" to "excellent" health. Persons with larger health networks had greater odds of being physically active compared with those with smaller networks (OR = 1.07, CI = 1.01-1.14). CONCLUSIONS: Health networks may be useful to intervention efforts for CVD risk factor reduction. More studies are needed to examine health networks in Caribbean contexts and explore associations with other CVD risk factors.

Early hearing slope as a predictor of subsequent hearing trajectory in a noise-exposed occupational cohort.

Variations in individual susceptibility to noise-induced hearing loss have been observed among workers exposed to similar ambient noise levels but the reasons for this observation are poorly understood. Many workers are exposed to hazardous levels of occupational noise throughout their entire careers. Therefore, a mechanism to identify workers at risk for accelerated hearing loss early in their career may offer a time-sensitive window for targeted intervention. Using available longitudinal data for an occupationally noise-exposed cohort of manufacturing workers, this study aims to examine whether change in an individual's high frequency hearing level during the initial years of occupational noise exposure can predict subsequent high frequency hearing loss. General linear mixed modeling was used to model later hearing slope in the worse ear for the combined frequencies of 3, 4, and 6 kHz as a function of early hearing slope in the worse ear, age at baseline, sex, race/ethnicity, mean ambient workplace noise exposure, and self-reported non-occupational noise exposure. Those with accelerated early hearing loss were more likely to experience a greater rate of subsequent hearing loss, thus offering a potentially important opportunity for meaningful intervention among those at greatest risk of future hearing loss.

Hearing Protector Attenuation and Noise Exposure Among Metal Manufacturing Workers.

OBJECTIVES: This study utilized personal noise measurements and fit-testing to evaluate the association between noise exposures and personal attenuation rating (PAR) values among participating workers, and second, to compare the attenuated exposure levels received by the workers and the British Standards Institute's recommended noise exposure range of 70 to 80 dBA. DESIGN: We measured hearing protection device (HPD) attenuation among a sample of 91 workers at 2 US metal manufacturing facilities, through performance of personal noise dosimetry measurements and HPD fit-testing over multiple work shifts. We compared this testing with participant questionnaires and annual audiometric hearing threshold results. RESULTS: The average 8-hr time-weighted average noise exposures for study participants was 79.8 dBA (SD = 7.0 dBA), and the average PAR from fit-testing was 20.1 dB (±6.7 dB). While differences existed between sites, 84% of the 251 PAR measurements resulted in effective protection levels below the recommended 70 dBA (indicating overprotection), while workers were underprotected (i.e., effective exposures >80 dBA) during <1% of monitored shifts. Our results also demonstrated a significant positive relationship between measured noise exposure and PAR among non-custom-molded plug users (p = 0.04). Non-custom-molded plug wearers also showed a significant increase in PAR by sequential fit-test interaction (p = 0.01), where on average, subsequent fit-testing resulted in increasingly higher HPD attenuation. Workers at site 1 showed higher PARs. PARs were significantly related to race, even when adjusting for site location. While age, hearing threshold level, task, and self-reported tinnitus showed no significant effect on individual PAR in an unadjusted model, site, race, and sand- or water-blasting activities were significant predictors in adjusted models. Within-worker variability in time-weighted averages and PARs across repeated measurements was substantially lower than variability between workers. CONCLUSIONS: Careful selection of HPDs is necessary to minimize instances of overprotection to workers in low and moderate occupational noise environments. The use of fit-testing in hearing conservation programs to evaluate PAR is recommended to avoid overprotection from noise exposure while also minimizing instances of under-attenuation.