Prevalence of Stroke - Behavioral Risk Factor Surveillance System, United States, 2011-2022.

Stroke was the fifth leading cause of death in the United States in 2021, and cost U.S. residents approximately $56.2 billion during 2019-2020. During 2006-2010, self-reported stroke prevalence among noninstitutionalized adults had a relative decrease of 3.7%. Data from the Behavioral Risk Factor Surveillance System were used to analyze age-standardized stroke prevalence during 2011-2022 among adults aged ≥18 years. From 2011-2013 to 2020-2022, overall self-reported stroke prevalence increased by 7.8% nationwide. Increases occurred among adults aged 18-64 years; females and males; non-Hispanic Black or African American (Black), non-Hispanic White (White), and Hispanic or Latino (Hispanic) persons; and adults with less than a college degree. Stroke prevalence was higher among adults aged ≥65 years than among younger adults; among non-Hispanic American Indian or Alaska Native, non-Hispanic Native Hawaiian or Pacific Islander, and Black adults than among White adults; and among adults with less than a high school education than among those with higher levels of education. Stroke prevalence decreased in the District of Columbia and increased in 10 states. Initiatives to promote knowledge of the signs and symptoms of stroke, and the identification of disparities in stroke prevalence, might help to focus clinical and programmatic interventions, such as the Million Hearts 2027 initiative or the Paul Coverdell National Acute Stroke Program, to improve prevention and treatment of stroke.

Cardiovascular disease outcomes among established cigar users 40 years and older: Findings from the population assessment of tobacco and health (PATH) study, waves 1-5 (2013-2019).

This study examined associations between established cigar use and prevalence and incidence of cardiovascular diseases (CVD; congestive heart failure, stroke, or heart attack/needed bypass surgery) among U.S. adults, 40 years or older. Using Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health (PATH) Study, incidence (Nindividuals (Nind) = 6,692; Nobservations (Nobs) = 23,738) and prevalence (Nind = 7,819; Nobs = 33,952) of CVD outcomes were examined using weighted generalized estimating equations (WGEEs) among adults who were exclusive current/former established cigar smokers (ever cigar smokers who have smoked fairly regularly), exclusive current/former established cigarette smokers (lifetime smokers of 100 or more cigarettes), dual current/former established cigarette and cigar smokers compared with never smokers of cigars or cigarettes, adjusting for covariates. The population-averaged incidence of CVD from one wave to next among exclusive current/former established cigar smokers during a six-year period based on WGEEs was low (overall average rate of 3.0 %; 95 % CI: 1.2, 7.0). Compared with never users, exclusive current/former established cigar smokers (OR = 1.67, 95 % CI: 1.11, 2.51) and exclusive current/former established cigarette smokers (OR = 2.12, 95 % CI: 1.45, 3.09) were more likely to have any CVD outcome in unadjusted analyses. When adjusted for covariates, only exclusive current/former established cigarette use was associated with CVD outcomes (AOR = 1.60, CI: 1.07, 2.40). Results suggest that exclusive established use of cigars or duration of exclusive cigar use was not associated with lifetime CVD prevalence compared with never cigar or cigarette smokers, which is important in understanding health outcomes in cigar users.

Body Mass Index and Blood Pressure Improvements With a Pediatric Weight Management Intervention at Federally Qualified Health Centers.

OBJECTIVE: The Mind, Exercise, Nutrition, Do It! 7-13 (MEND 7-13) program was adapted in 2016 by 5 Denver Health federally qualified health centers (DH FQHC) into MEND+, integrating clinician medical visits into the curriculum and tracking health measures within an electronic health record (EHR). We examined trajectories of body mass index (BMI, kg/m2) percentile, and systolic and diastolic blood pressures (SBP and DBP) among MEND+ attendees in an expanded age range of 4 to 17 years, and comparable nonattendees. METHODS: Data from April 2015 to May 2018 were extracted from DH FQHC EHR for children eligible for MEND+ referral (BMI ≥85th percentile). The sample included 347 MEND+ attendees and 21,061 nonattendees. Mixed-effects models examined average rate of change for BMI percent of the 95th percentile (%BMIp95), SBP and DBP (mm Hg), after completion of the study period. RESULTS: Most children were ages 7 to 13 years, half were male, and most were Hispanic. An average of 4.2 MEND+ clinical sessions were attended. Before MEND+, %BMIp95 increased by 0.247 units/month among MEND+ attendees. After attending, %BMIp95 decreased by 0.087 units/month (P < .001). Eligible nonattendees had an increase of 0.084/month in %BMIp95. Before MEND+ attendance, SBP and DBP increased by 0.041 and 0.022/month, respectively. After MEND+ attendance, SBP and DBP decreased by 0.254/month (P < .001) and 0.114/month (P < .01), respectively. SBP and DBP increased by 0.033 and 0.032/month in eligible nonattendees, respectively. CONCLUSIONS: %BMIp95, SBP, and DBP significantly decreased among MEND+ attendees when implemented in community-based clinical practice settings at DH FQHC.

Daily Adolescent Sugar-Sweetened Beverage Intake Is Associated With Select Adolescent, Not Parent, Attitudes About Limiting Sugary Drink and Junk Food Intake.

PURPOSE: To examine associations of adolescent sugar-sweetened beverage (SSB) intake with parent SSB intake and parent and adolescent attitudes about limiting SSB and junk food (SSB/JF) intake. DESIGN: Quantitative, cross-sectional study. SETTING: The 2014 Family Life, Activity, Sun, Health, and Eating study. SAMPLE: Parent-adolescent dyads (N = 1555). MEASURES: The outcome was adolescent SSB intake. Exposure variables were parent SSB intake, sociodemographics, and parent and adolescent attitudes about SSB/JF intake (responses: agree, neither, or disagree). ANALYSIS: Multinomial logistic regressions estimated adjusted odds ratios (aOR) and 95% confidence intervals (CIs). RESULTS: Half (49.5%) of adolescents and 33.7% of parents consumed SSB ≥1 time/day. Parent daily SSB intake was associated with adolescent daily SSB intake (aOR = 8.9; CI = 4.6-17.3) [referent: no consumption]. Adolescents who disagreed on having confidence to limit SSB/JF intake had higher odds of daily SSB intake (aOR = 3.5; CI = 1.8-6.8), as did those who disagreed they felt bad about themselves if they did not limit SSB/JF intake (aOR = 1.9; CI=1.1-3.3), compared to adolescents who agreed with these attitudes. No parental attitudes were significant. CONCLUSION: Higher odds of daily SSB intake among adolescents was associated with parent SSB intake and adolescent attitudes about confidence in, and feeling bad about, limiting SSB/JF intake. Parent attitudes were not associated with daily adolescent SSB intake. Efforts to reduce adolescent SSB intake could consider strategies geared toward improving adolescent attitudes and dietary behaviors and parental SSB intake.

Screening and Referral for Childhood Obesity: Adherence to the U.S. Preventive Services Task Force Recommendation.

INTRODUCTION: The U.S. Preventive Services Task Force recommends clinicians screen children aged 6 years or older for obesity and offer or refer children with obesity to intensive weight management programs. This study explores clinician awareness of weight management programs meeting the recommendation, adherence to the recommendation of screening and referral, and associations between provider and practice characteristics and weight management program referrals. METHODS: This cross-sectional study used data from the DocStyles survey 2017, a web-based panel survey, analyzed in 2017. Among 1,023 clinicians who see pediatric patients, this study examined clinician awareness of weight management programs in their communities that met the recommendation, practice of screening for childhood obesity, and referral to weight management programs. Multivariable logistic regression estimated associations between the demographic and practice characteristics of clinicians and weight management program referrals. RESULTS: Only 24.6% of surveyed clinicians were aware of a weight management program that met the U.S. Preventive Services Task Force recommendation in their community; of those aware, 88.9% referred patients to these weight management programs. Most (83.6%) clinicians screened children for obesity in ≥75% of visits. Overall, 53.5% of clinicians provided referrals to weight management programs. Referral was higher among female clinicians and clinicians serving mostly middle-income patients. Providers without teaching hospital privileges had lower odds of referral. CONCLUSIONS: Adherence to clinical recommendations is essential to curbing the childhood obesity epidemic. Only one in four surveyed clinicians were aware of weight management programs in their community meeting U.S. Preventive Services Task Force criteria. Half of clinicians referred pediatric patients with obesity to a weight management program. Results suggest efforts are needed to increase awareness of, and referral to, weight management programs meeting the recommendation.

Referrals and Management Strategies for Pediatric Obesity-DocStyles Survey 2017.

Background: Childhood obesity care management options can be delivered in community-, clinic-, and hospital-settings. The referral practices of clinicians to these various settings have not previously been characterized beyond the local level. This study describes the management strategies and referral practices of clinicians caring for pediatric patients with obesity and associated clinician characteristics in a geographically diverse sample. Methods: This cross-sectional study used data from the DocStyles 2017 panel-based survey of 891 clinicians who see pediatric patients. We used multivariable logistic regression to estimate associations between the demographic and practice characteristics of clinicians and types of referrals for the purposes of pediatric weight management. Results: About half of surveyed clinicians (54%) referred <25% of their pediatric patients with obesity for the purposes of weight management. Only 15% referred most (≥75%) of their pediatric patients with obesity for weight management. Referral types included clinical referrals, behavioral referrals, and weight management program (WMP) referrals. Within these categories, the percentage referrals ranged from 19% for behavioral/mental health professionals to 72% for registered dieticians. Among the significant associations, female clinicians had higher odds of referral to community and clinical WMP; practices in the Northeast had higher odds of referral to subspecialists, dieticians, mental health professionals, and clinical WMP; and clinics having ≥15 well child visits per week were associated with higher odds of referral to subspecialists, mental health professionals, and health educators. Not having an affiliation with teaching hospitals and serving low-income patients were associated with lower odds of referral to mental health professionals, and community and clinical WMP. Compared to pediatricians, family practitioners, internists, and nurse practitioners had higher odds of providing referrals to mental health professionals and to health educators. Conclusion: This study helps characterize the current landscape of referral practices and management strategies of clinicians who care for pediatric patients with obesity. Our data provide insight into the clinician, clinical practice, and reported patient characteristics associated with childhood obesity referral types. Understanding referral patterns and management strategies may help improve care for children with obesity and their families.

Discrepancy Between Patient Health Literacy Levels and Readability of Patient Education Materials from an Electronic Health Record.

Limited health literacy is associated with worse health outcomes. It is standard practice in many primary care clinics to provide patients with written patient education materials (PEM), which often come directly from an electronic health record (EHR). We compared the health literacy of patients in a primary care residency clinic with EHR PEM readability by grade level. We assessed health literacy using the Rapid Estimate of Adult Literacy in Medicine-Short Form (REALM-SF), and determined grade level readability for the PEM distributed for the five most common clinical diagnoses using the Simple Measure of Gobbledygook (SMOG) and Flesch-Kincaid metrics. Among 175 participants, health literacy was ≥9th grade for 76 patients (43.4%), 7th to 8th grade for 66 patients (37.7%), and ≤6th grade for 30 patients (17.1%). Average standard PEM readability by SMOG was grade 9.2 and easy-to-read PEM readability was grade 6.8. These findings suggest a discrepancy between the health literacy of most patients who were surveyed and standard PEM readability. Despite national guidelines encouraging clinicians to provide PEM at an appropriate reading level, our results indicate that PEM from EHR may not be readable for many patients. [Health Literacy Research and Practice. 2017;1(4):e203-e207.].

Low HDL-Cholesterol with Normal Triglyceride Levels is the Most Common Lipid Pattern in West Africans and African Americans with Metabolic Syndrome: Implications for Cardiovascular Disease Prevention.

BACKGROUND: Although designed to predict cardiovascular disease and type 2 diabetes mellitus, the Metabolic Syndrome (MetSyn) under-predicts these conditions in African-Americans (AA). Failure of MetSyn in AA is often attributed to their relative absence of hypertriglyceridemia. It is unknown if the African experience with MetSyn will be similar or different to that in AA. Focusing on the lipid profile, our goal was to determine in West Africans (WA) and AA the pattern of variables that leads to the diagnosis of the MetSyn. METHODS: Cross-sectional analysis of 1296 subjects (364 WA, 44% male, 932 AA, 46% male). WA were from urban centers in Nigeria and Ghana and enrolled in the Africa America Diabetes Mellitus Study. AA lived in Washington, DC and participated in the Howard University Family Study. RESULTS: The prevalence of MetSyn was different in WA women and men: 42% vs.19%, P<0.001, and in AA women and men: 25% vs.17%, P<0.01. The three variables that most often led to the diagnosis of MetSyn in WA and AA were: low HDL-C, central obesity and hypertension. Less than 40% of AA and less than 25% of WA with the MetSyn had hypertriglyceridemia. CONCLUSIONS: Elevated triglyceride levels were uncommon in both WA and AA with MetSyn. As the relative absence of hypertriglyceridemia is associated with a lack of efficacy of MetSyn in AA, caution is warranted in diagnosing MetSyn in WA, the ancestral population of AA. Prospective studies are necessary to determine if an ethnic-specific reformulation of the MetSyn scoring system for lipids might optimize risk identification in black populations.

Preventing Diabetes and Atherosclerosis in Sub-Saharan Africa: Should the Metabolic Syndrome Have a Role?

Obesity, hypertension, atherosclerosis, and type 2 diabetes mellitus are increasing in all regions of sub-Saharan Africa. The metabolic syndrome is a valuable tool in predicting atherosclerosis and type 2 diabetes in populations in Europe and North America. However, the applicability of the metabolic syndrome to African populations has not been studied. Prior to investing scarce funds into diagnosing and treating the metabolic syndrome, primary research needs to be designed to determine the prevalence of the metabolic syndrome and its ability to detect early, treatable disease in Africa. Assessment of these data should make it possible to determine if it is more effective to focus on the metabolic syndrome as a whole or on obesity, hypertension, atherosclerosis, and type 2 diabetes as individual conditions. This article is an overview of the presentation of metabolic syndrome variables in the Eastern, Western, and Southern regions of sub-Saharan Africa.