Correlations of Socioeconomic and Clinical Determinants with United States County-Level Stroke Prevalence.

Socioeconomic status (SES) is a multi-faceted theoretical construct associated with stroke risk and outcomes. Knowing which SES measures best correlate with population stroke metrics would improve its accounting in observational research and inform interventions. Using the Centers for Disease Control and Prevention's (CDC) Population Level Analysis and Community Estimates (PLACES) and other publicly available databases, we conducted an ecological study comparing correlations of different United States county-level SES, health care access and clinical risk factor measures with age-adjusted stroke prevalence. The prevalence of adults living below 150% of the federal poverty level most strongly correlated with stroke prevalence compared to other SES and non-SES measures (correlation coefficient = 0.908, R2 = 0.825; adjusted partial correlation coefficient: 0.589, R2 = 0.347). ANN NEUROL 2024.

Advancing Health Equity: The Role of a Community-Academic-Public Health-Practice (CAPP) Partnership in Addressing COVID-19 Disparities in Louisiana.

We assessed the impact of an innovative Louisiana community-academic-public health-practice (CAPP) partnership in addressing COVID-19-associated Black-White vaccination disparities over 19 months. Initially (April 2021), the cumulative vaccinations for Black versus White Louisianans were 54 542 per 100 000 versus 62 435 per 100 000, respectively. By October 2022, cumulative vaccinations for Black versus White Louisianans were 142 437 per 100 000 versus 132 488 per 100 000, respectively. The vaccination equity score increased from 908 out of 1000 in April 2021 to 942 out of 1000 in October 2022. CAPP partnership efforts contributed to addressing initial Black-White COVID-19 vaccination disparities. (Am J Public Health. 2024;114(S1):S55-S58. https://doi.org/10.2105/AJPH.2023.307509).

Weight Loss in Underserved Patients - A Cluster-Randomized Trial.

BACKGROUND: Evidence of the effectiveness of treatment for obesity delivered in primary care settings in underserved populations is lacking. METHODS: We conducted a cluster-randomized trial to test the effectiveness of a high-intensity, lifestyle-based program for obesity treatment delivered in primary care clinics in which a high percentage of the patients were from low-income populations. We randomly assigned 18 clinics to provide patients with either an intensive lifestyle intervention, which focused on reduced caloric intake and increased physical activity, or usual care. Patients in the intensive-lifestyle group participated in a high-intensity program delivered by health coaches embedded in the clinics. The program consisted of weekly sessions for the first 6 months, followed by monthly sessions for the remaining 18 months. Patients in the usual-care group received standard care from their primary care team. The primary outcome was the percent change from baseline in body weight at 24 months. RESULTS: All 18 clinics (9 assigned to the intensive program and 9 assigned to usual care) completed 24 months of participation; a median of 40.5 patients were enrolled at each clinic. A total of 803 adults with obesity were enrolled: 452 were assigned to the intensive-lifestyle group, and 351 were assigned to the usual-care group; 67.2% of the patients were Black, and 65.5% had an annual household income of less than $40,000. Of the enrolled patients, 83.4% completed the 24-month trial. The percent weight loss at 24 months was significantly greater in the intensive-lifestyle group (change in body weight, -4.99%; 95% confidence interval [CI], -6.02 to -3.96) than in the usual-care group (-0.48%; 95% CI, -1.57 to 0.61), with a mean between-group difference of -4.51 percentage points (95% CI, -5.93 to -3.10) (P<0.001). There were no significant between-group differences in serious adverse events. CONCLUSIONS: A high-intensity, lifestyle-based treatment program for obesity delivered in an underserved primary care population resulted in clinically significant weight loss at 24 months. (Funded by the Patient-Centered Outcomes Research Institute and others; PROPEL ClinicalTrials.gov number, NCT02561221.).

Thresholds for Ambulatory Blood Pressure Among African Americans in the Jackson Heart Study.

BACKGROUND: Ambulatory blood pressure (BP) monitoring is the reference standard for out-of-clinic BP measurement. Thresholds for identifying ambulatory hypertension (daytime systolic BP [SBP]/diastolic BP [DBP] ≥135/85 mm Hg, 24-hour SBP/DBP ≥130/80 mm Hg, and nighttime SBP/DBP ≥120/70 mm Hg) have been derived from European, Asian, and South American populations. We determined BP thresholds for ambulatory hypertension in a US population-based sample of African American adults. METHODS: We analyzed data from the Jackson Heart Study, a population-based cohort study comprised exclusively of African American adults (n=5306). Analyses were restricted to 1016 participants who completed ambulatory BP monitoring at baseline in 2000 to 2004. Mean SBP and DBP levels were calculated for daytime (10:00 am-8:00 pm), 24-hour (all available readings), and nighttime (midnight-6:00 am) periods, separately. Daytime, 24-hour, and nighttime BP thresholds for ambulatory hypertension were identified using regression- and outcome-derived approaches. The composite of a cardiovascular disease or an all-cause mortality event was used in the outcome-derived approach. For this latter approach, BP thresholds were identified only for SBP because clinic DBP was not associated with the outcome. Analyses were stratified by antihypertensive medication use. RESULTS: Among participants not taking antihypertensive medication, the regression-derived thresholds for daytime, 24-hour, and nighttime SBP/DBP corresponding to clinic SBP/DBP of 140/90 mm Hg were 134/85 mm Hg, 130/81 mm Hg, and 123/73 mm Hg, respectively. The outcome-derived thresholds for daytime, 24-hour, and nighttime SBP corresponding to a clinic SBP ≥140 mm Hg were 138 mm Hg, 134 mm Hg, and 129 mm Hg, respectively. Among participants taking antihypertensive medication, the regression-derived thresholds for daytime, 24-hour, and nighttime SBP/DBP corresponding to clinic SBP/DBP of 140/90 mm Hg were 135/85 mm Hg, 133/82 mm Hg, and 128/76 mm Hg, respectively. The corresponding outcome-derived thresholds for daytime, 24-hour, and nighttime SBP were 140 mm Hg, 137 mm Hg, and 133 mm Hg, respectively, among those taking antihypertensive medication. CONCLUSIONS: On the basis of the outcome-derived approach for SBP and regression-derived approach for DBP, the following definitions for daytime, 24-hour, and nighttime hypertension corresponding to clinic SBP/DBP ≥140/90 mm Hg are proposed for African American adults: daytime SBP/DBP ≥140/85 mm Hg, 24-hour SBP/DBP ≥135/80 mm Hg, and nighttime SBP/DBP ≥130/75 mm Hg, respectively.

A Patient-Held Smartcard With a Unique Identifier and an mHealth Platform to Improve the Availability of Prenatal Test Results in Rural Nigeria: Demonstration Study.

BACKGROUND: Community-based strategies to test for HIV, hepatitis B virus (HBV), and sickle cell disease (SCD) have expanded opportunities to increase the proportion of pregnant women who are aware of their diagnosis. In order to use this information to implement evidence-based interventions, these results have to be available to skilled health providers at the point of delivery. Most electronic health platforms are dependent on the availability of reliable Internet connectivity and, thus, have limited use in many rural and resource-limited settings. OBJECTIVE: Here we describe our work on the development and deployment of an integrated mHealth platform that is able to capture medical information, including test results, and encrypt it into a patient-held smartcard that can be read at the point of delivery without the need for an Internet connection. METHODS: We engaged a team of implementation scientists, public health experts, and information technology specialists in a requirement-gathering process to inform the design of a prototype for a platform that uses smartcard technology, database deployment, and mobile phone app development. Key design decisions focused on usability, scalability, and security. RESULTS: We successfully designed an integrated mHealth platform and deployed it in 4 health facilities across Benue State, Nigeria. We developed the Vitira Health platform to store test results of HIV, HBV, and SCD in a database, and securely encrypt the results on a Quick Response code embedded on a smartcard. We used a mobile app to read the contents on the smartcard without the need for Internet connectivity. CONCLUSIONS: Our findings indicate that it is possible to develop a patient-held smartcard and an mHealth platform that contains vital health information that can be read at the point of delivery using a mobile phone-based app without an Internet connection. TRIAL REGISTRATION: ClinicalTrials.gov NCT03027258; https://clinicaltrials.gov/ct2/show/NCT03027258 (Archived by WebCite at http://www.webcitation.org/6owR2D0kE).

Preferences for groundnut products among urban residents in Ghana.

BACKGROUND: The present study identifies factors influencing preferences for common groundnut products using information about product perceptions from residents in Ghana's cities collected in 2011. In Ghana, domestically produced groundnuts, processed into a variety of groundnut products, are a vital source of protein and other nutrients. RESULTS: Response summaries provide insights about the eating frequency of various products, whereas a bivariate ordered probit model identifies factors influencing preferences for groundnut paste and roasted groundnuts. Attributes such as taste, protein content and healthfulness are important for roasted groundnuts, whereas aroma, taste and protein content are associated with a preference for groundnut paste. Large households prefer paste, whereas the less educated and those from households with children prefer roasted groundnuts. Adding a child (4-12 years old) increases probability of 'liking very much' roasted groundnuts and an additional adult at home changes that probability regarding groundnut paste. College-educated consumers prefer groundnut paste less than those with less education. Consumers from Tamale and Takoradi prefer roasted groundnuts and groundnut paste more than Accra households. CONCLUSIONS: Taste and protein content are attributes of groundnut paste and roasted groundnuts preferred by consumers. Location is a significant factor shaping preference for roasted groundnuts and groundnut paste. © 2017 Society of Chemical Industry.

Measuring the Affordability of Nutritious Diets in Africa: Price Indexes for Diet Diversity and the Cost of Nutrient Adequacy.

Policies and programs often aim to improve the affordability of nutritious diets, but existing food price indexes are based on observed quantities that may not meet nutritional goals. To measure changes in the cost of reaching international standards of diet quality, we introduce a new cost of diet diversity index based on the lowest-cost way to include at least five different food groups as defined by the widely used minimum dietary diversity for women (MDD-W) indicator and compare that to a Cost of Nutrient Adequacy indicator for the lowest-cost way to meet estimated average requirements of essential nutrients and dietary energy. We demonstrate application of both indexes using national average monthly prices from two very different sources: an agricultural market information system in Ghana (2009-14) and the data used for national consumer price indexes in Tanzania (2011-15). We find that the cost of diet diversity index for Ghana fluctuated seasonally and since mid-2010 rose about 10% per year faster than national inflation, due to rising relative prices for fruit, which also drove up the cost of nutrient adequacy. In Tanzania there were much smaller changes in total daily costs, but more adjustment in the mix of food groups used for the least-cost diet. These methods can show where and when nutritious diets are increasingly (un)affordable, and which nutritional criteria account for the change. These results are based on monthly national average prices, but the method is generalizable to other contexts for monitoring, evaluation, and assessment of changing food environments. JEL codes: I15, Q11, Q18.

Evaluation of Physician Prescribing Patterns For Antibiotics in the Treatment of Nonnecrotizing Skin and Soft Tissue Infections.

PURPOSE: Skin and soft tissue infections (SSTIs) cause about 15 million cases of infection that result in more than 869,000 annual hospitalizations in the United States. Cellulitis accounted for 63% of all patients hospitalized with SSTIs between 2009 and 2011. The primary objective of this study was to evaluate physician adherence rates to evidence-based practice guidelines. Secondary objectives included evaluating antibiotic selection preferences and duration of therapy. The goal of the project was to generate data to inform the development of a hospital-based protocol for nonnecrotizing SSTI treatment. METHODS: This study was a single-center, retrospective, electronic chart review of patients admitted to the hospital for nonnecrotizing SSTI. We reviewed charts of patients who were admitted with a diagnosis of cellulitis and abscess infection from August 2014 to August 2015. RESULTS: Vancomycin, piperacillin/tazobactam, and clindamycin were the initial empiric antibiotics used most frequently. The adherence rates to guideline-recommended empiric antibiotic therapy and duration of treatment were about 40% and 70%, respectively. The median duration of antibiotic therapy was 12 days. Male gender and presence of purulent discharge as independent variables led to poor adherence to guideline-recommended empiric antibiotic therapy (male versus female gender, 35% versus 50.8%; P = 0.045; purulent discharge [yes versus no], 23.9% versus 60.4%; P < 0.0001). CONCLUSIONS: The results showed substantial noncompliance with guideline recommendations on empiric antibiotic selection for the treatment of nonnecrotizing SSTIs. There is a substantial opportunity for clinical pharmacist intervention in ensuring the efficient utilization of hospital resources to improve guideline compliance; promote appropriate antibiotic selection; reduce unnecessary antibiotic exposure; and reduce cost of hospitalization.

Differential increase in prevalence estimates of inadequate sleep among black and white Americans.

BACKGROUND: The National Health Interview Survey (NHIS) was used to ascertain whether increases in inadequate sleep differentially affected black and white Americans. We tested the hypothesis that prevalence estimates of inadequate sleep were consistently greater among blacks, and that temporal changes have affected these two strata differentially. METHODS: NHIS is an ongoing cross-sectional study of non-institutionalized US adults (≥18 years) providing socio-demographic, health risk, and medical factors. Sleep duration was coded as very short sleep [VSS] (<5 h), short sleep [SS] (5-6 h), or long sleep [LS] (>8 h), referenced to 7-8 h sleepers. Analyses adjusted for NHIS' complex sampling design using SAS-callable SUDAAN. RESULTS: Among whites, the prevalence of VSS increased by 53% (1.5% to 2.3%) from 1977 to 2009 and the prevalence of SS increased by 32% (19.3% to 25.4 %); prevalence of LS decreased by 30% (11.2% to 7.8%). Among blacks, the prevalence of VSS increased by 21% (3.3% to 4.0%) and the prevalence of SS increased by 37% (24.6 % to 33.7%); prevalence of LS decreased by 42% (16.1% to 9.4%). Adjusted multinomial regression analysis showed that odds of reporting inadequate sleep for whites were: VSS (OR = 1.40, 95% CI = 1.13-1.74, p < 0.001), SS (OR = 1.34, 95 % CI = 1.25-1.44, p < 0.001), and LS (OR = 0.94, 95% CI = 0.85-1.05, NS). For blacks, estimates were: VSS (OR = 0.83, 95% CI = 0.60-1.40, NS), SS (OR = 1.21, 95% CI = 1.05-1.50, p < 0.001), and LS (OR = 0.84, 95% CI = 0.64-1.08, NS). CONCLUSIONS: Blacks and whites are characteristically different regarding the prevalence of inadequate sleep over the years. Temporal changes in estimates of inadequate sleep seem dependent upon individuals' race/ethnicity.

Prescribing Patterns of Metformin in High-risk Patients with Prediabetes.

AIMS: The primary objective of this study is to examine the rates of metformin prescribing in patients with prediabetes who are either less than 60 years of age, have a BMI greater than 35 kg/m2, or women with a history of gestational diabetes mellitus (GDM). Secondary objectives include: 1) examination of the time from diagnosis of prediabetes to the initiation of metformin and 2) if metformin initiation status and length of time correlates to the patient having any other additional diabetes mellitus (DM) risk factors. METHODS: This was a single center, retrospective cohort study. This study included all patients with prediabetes, defined as having hemoglobin A1c (HbA1c) of 39 through 46 mmol/mol (5.7-6.4 percent), who were patients at the Interim LSU Hospital and Clinics from January 2012-September 2013. RESULTS: There were a total of 13 patients out of 160 patients in the study population who were prescribed metformin for an overall metformin initiation rate of 8.1 percent. The metformin initiation rate for the three individual groups; history of GDM, aged less than 60 years, and BMI greater than 35 kg/m2 were 0 percent, 9.0 percent, and 17.5 percent respectively. CONCLUSION: Metformin initiation rates in patients with prediabetes are not in accordance with current recommendations, and provider education is necessary to increase rates to delay or prevent the progression of prediabetes to type 2 Diabetes Mellitus.

Tipping the scales on obesity: church-based health promotion for African American women.

Research suggests that over 80% of U.S. adult African American (AA) women are at risk for hypertension, cardiovascular disease, and diabetes. In 2011-2012, 56.6% of non-Hispanic Black women were obese (BMI ≥ 30 kg/m2). Project TEACH--Transforming, Empowering, and Affecting Congregation Health was designed to determine the effectiveness of a faith-based, culturally competent, nutrition and exercise program targeting AA women in a church setting.

Gene-environment interaction between SCN5A-1103Y and hypokalemia influences QT interval prolongation in African Americans: the Jackson Heart Study.

BACKGROUND: African-American ancestry, hypokalemia, and QT interval prolongation on the electrocardiogram are all risk factors for sudden cardiac death (SCD), but their interactions remain to be characterized. SCN5A-1103Y is a common missense variant, of African ancestry, of the cardiac sodium channel gene. SCN5A-1103Y is known to interact with QT-prolonging factors to promote ventricular arrhythmias in persons at high risk for SCD, but its clinical impact in the general African-American population has not been established. METHODS: We genotyped SCN5A-S1103Y in 4,476 participants of the Jackson Heart Study, a population-based cohort of African Americans. We investigated the effect of SCN5A-1103Y, including interaction with hypokalemia, on QT interval prolongation, a widely-used indicator of prolonged myocardial repolarization and predisposition to SCD. We then evaluated the two sub-components of the QT interval: QRS duration and JT interval. RESULTS: The carrier frequency for SCN5A-1103Y was 15.4%. SCN5A-1103Y was associated with QT interval prolongation (2.7 milliseconds; P < .001) and potentiated the effect of hypokalemia on QT interval prolongation (14.6 milliseconds; P = .02). SCN5A-1103Y had opposing effects on the two sub-components of the QT interval, with shortening of QRS duration (-1.5 milliseconds; P = .001) and prolongation of the JT interval (3.4 milliseconds; P < .001). Hypokalemia was associated with diuretic use (78%; P < .001). CONCLUSIONS: SCN5A-1103Y potentiates the effect of hypokalemia on prolonging myocardial repolarization in the general African-American population. These findings have clinical implications for modification of QT prolonging factors, such as hypokalemia, in the 15% of African Americans who are carriers of SCN5A-1103Y.

Associations between inadequate sleep and obesity in the US adult population: analysis of the national health interview survey (1977-2009).

BACKGROUND: Epidemiologic studies show a curvilinear relationship between inadequate sleep (< 7 or > 8 hours) and obesity (Body Mass Index > 30 kg/m2), which have enormous public health impact. METHODS: Using data from the National Health Interview Survey, an ongoing nationally representative cross-sectional study of non-institutionalized US adults (≥18 years) (1977 through 2009), we examined the hypothesis that inadequate sleep is independently related to overweight/obesity, with adjustment for socio-demographic, health risk, and medical factors. Self- reported data on health risks, physician-diagnosed medical conditions, sleep duration, and body weight and height were used. RESULTS: Prevalence of overweight and obesity increased from 31.2% to 36.9% and 10.2% to 27.7%, respectively. Whereas prevalence of very short sleep (<5 hours) and short sleep (5-6 hours) has increased from 1.7% to 2.4% and from 19.7% to 26.7%, it decreased from 11.6% to 7.8% for long sleep. According to multivariate-adjusted multinomial regression analyses, odds of overweight and obesity associated with very short sleep and short sleep increased significantly from 1977 to 2009. Odds of overweight and obesity conferred by long sleep did not show consistent and significant increases over the years. Analyses based on aggregated data showed very short sleepers had 30% greater odds of being overweight or were twice as likely to be obese, relative to 7-8 hour sleepers. Likewise, short sleepers had 20% greater odds of being overweight or 57% greater odds of being obese. Long sleepers had 20% greater odds of being obese, but no greater odds of being overweight. CONCLUSIONS: Our findings support the hypothesis that prevalence of very short and short sleep has gradually increased over the last 32 years. Inadequate sleep was associated with overweight and obesity for each available year.

Research participants' opinions on genetic research and reasons for participation: a Jackson Heart Study focus group analysis.

The Jackson Heart Study (JHS) convened focus groups to engage the community in dialogue on participation in the National, Heart, Lung and Blood Institute's Candidate Gene Resource (CARe) project. CARe, a genome wide association and candidate gene study, required the release of participant phenotypic and genotypic data with storage at NIH for widespread distribution to qualified researchers. The authors wanted to assess the willingness of an African American community to participate in the genetics research, given the past history of bioethical misconduct in ethnic minority communities. The discussion produced the following specific issues of interest: reasons for participants' interest in genetics research; participants' knowledge about the JHS; and participants' knowledge about genetics research and its advantages and disadvantages. Training on genetic issues was also developed for the JHS community and staff.