METHODS: We included individuals ages 2 through 79 years (not pregnant or institutionalized) who were free of cardiovascular disease from the National Health and Nutrition Examination Surveys in 2013 through 2018. For all participants, we calculated the overall CVH score (range, 0 [lowest] to 100 [highest]), as well as the score for each component of diet, physical activity, nicotine exposure, sleep duration, body mass index, blood lipids, blood glucose, and blood pressure, using published American Heart Association definitions. Sample weights and design were incorporated in calculating prevalence estimates and standard errors using standard survey procedures. CVH scores were assessed across strata of age, sex, race and ethnicity, family income, and depression.
RESULTS: There were 23 409 participants, representing 201 728 000 adults and 74 435 000 children. The overall mean CVH score was 64.7 (95% CI, 63.9-65.6) among adults using all 8 metrics and 65.5 (95% CI, 64.4-66.6) for the 3 metrics available (diet, physical activity, and body mass index) among children and adolescents ages 2 through 19 years. For adults, there were significant differences in mean overall CVH scores by sex (women, 67.0; men, 62.5), age (range of mean values, 62.2-68.7), and racial and ethnic group (range, 59.7-68.5). Mean scores were lowest for diet, physical activity, and body mass index metrics. There were large differences in mean scores across demographic groups for diet (range, 23.8-47.7), nicotine exposure (range, 63.1-85.0), blood glucose (range, 65.7-88.1), and blood pressure (range, 49.5-84.0). In children, diet scores were low (mean 40.6) and were progressively lower in higher age groups (from 61.1 at ages 2 through 5 to 28.5 at ages 12 through 19); large differences were also noted in mean physical activity (range, 63.1-88.3) and body mass index (range, 74.4-89.4) scores by sociodemographic group.
CONCLUSIONS: The new Life's Essential 8 score helps identify large group and individual differences in CVH. Overall CVH in the US population remains well below optimal levels and there are both broad and targeted opportunities to monitor, preserve, and improve CVH across the life course in individuals and the population.
OBJECTIVE: To examine associations of hypertensive disorders of pregnancy or gestational diabetes mellitus with offspring cardiovascular health in early adolescence.
STUDY DESIGN: This analysis used data from the prospective Hyperglycemia and Adverse Pregnancy Outcome Study from 2000 to 2006 and the Hyperglycemia and Adverse Pregnancy Outcome Follow-Up Study from 2013 to 2016. This analysis included 3317 mother-child dyads from 10 field centers, comprising 70.8% of Hyperglycemia and Adverse Pregnancy Outcome Follow-Up Study participants. Those with pregestational diabetes and chronic hypertension were excluded. The exposures included having any hypertensive disorders of pregnancy or gestational diabetes mellitus vs not having hypertensive disorders of pregnancy or gestational diabetes mellitus, respectively (reference). The outcome was offspring cardiovascular health when aged 10-14 years, on the basis of 4 metrics: body mass index, blood pressure, total cholesterol level, and glucose level. Each metric was categorized as ideal, intermediate, or poor using a framework provided by the American Heart Association. The primary outcome was defined as having at least 1 cardiovascular health metric that was nonideal vs all ideal (reference), and the second outcome was the number of nonideal cardiovascular health metrics (ie, at least 1 intermediate metric, 1 poor metric, or at least 2 poor metrics vs all ideal [reference]). Modified poisson regression with robust error variance was used and adjusted for covariates at pregnancy enrollment, including field center, parity, age, gestational age, alcohol or tobacco use, child's assigned sex at birth, and child's age at follow-up.
RESULTS: Among 3317 maternal-child dyads, the median (interquartile) ages were 30.4 (25.6-33.9) years for pregnant individuals and 11.6 (10.9-12.3) years for children. During pregnancy, 10.4% of individuals developed hypertensive disorders of pregnancy, and 14.6% developed gestational diabetes mellitus. At follow-up, 55.5% of offspring had at least 1 nonideal cardiovascular health metric. In adjusted models, having hypertensive disorders of pregnancy (adjusted risk ratio, 1.14 [95% confidence interval, 1.04-1.25]) or having gestational diabetes mellitus (adjusted risk ratio, 1.10 [95% confidence interval, 1.02-1.19]) was associated with a greater risk that offspring developed less-than-ideal cardiovascular health when aged 10-14 years. The above associations strengthened in magnitude as the severity of adverse cardiovascular health metrics increased (ie, with the outcome measured as ≥1 intermediate, 1 poor, and ≥2 poor adverse metrics), albeit the only statistically significant association was with the "1-poor-metric" exposure.
CONCLUSION: In this multinational prospective cohort, pregnant individuals who experienced either hypertensive disorders of pregnancy or gestational diabetes mellitus were at significantly increased risk of having offspring with worse cardiovascular health in early adolescence. Reducing adverse pregnancy outcomes and increasing surveillance with targeted interventions after an adverse pregnancy outcome should be studied as potential avenues to enhance long-term cardiovascular health in the offspring exposed in utero.
METHODS AND RESULTS: We used 2010 to 2018 ambulatory visit data from children aged 2 to 12 years within CAPRICORN (Chicago Area Patient-Centered Outcomes Research Network), an electronic health record network in Chicago. This study included 87 549 children who attended 197 559 well-child encounters. Across all encounters, children were 51.5% male and mean (SD) age 6.4 (3.3) years. For each child who attended a well-child visit and met age and/or risk-based criteria, receipt of body mass index, blood pressure, lipids, and/or hemoglobin A1c or fasting blood glucose measurements were assessed. We used generalized estimating equations to calculate proportion adherence for each metric overall and stratified by age, sex, race and ethnicity, and insurance status. Universal age-based screening prevalence (95% CI) per 100 eligible visits was 77.1 (76.8-77.3) for body mass index, 33.4 (33.1-33.7) for blood pressure, and 9.6 (9.3-9.9) for lipids. Risk-based screening prevalence (95% CI) per 100 eligible visits was 13.9 (12.2-15.9) for blood pressure, 6.9 (6.4-7.5) for lipids, and 13.3 (12.6-14.1) for blood glucose.
CONCLUSIONS: Early screening of cardiovascular health risk factors could lead to earlier interventions, which could alter cardiovascular health trajectories across the lifetime. Low-to-moderate levels of adherence to universal age-based and risk-based cardiovascular health screening highlight the gap between recommendations and clinical practice, emphasizing the need to understand and address barriers to screening in pediatric populations.
MATERIALS AND METHODS: Retrospective single-center analysis of adults completing IGB treatment. Weight, glycated hemoglobin (HbA1c), fasting glucose, lipid profile and blood pressure were recorded before and at the end of treatment; weight was also recorded 12 months after placement. The primary outcome was percentage total weight loss (%TWL) at end of treatment. Between-device differences were adjusted for baseline value, age, sex, diabetes and dyslipidemia and by propensity weighting, and metabolic comparisons were corrected for multiple testing.
RESULTS: Of 357 patients treated, 239 were analyzed (133 swallowable, 106 adjustable; 76.6% women); attrition before analysis was far higher in the adjustable group (48.5% vs. 11.9%). Both devices reduced weight, HbA1c and atherogenic lipids and raised high-density lipoprotein cholesterol. At end of treatment the adjustable balloon achieved greater %TWL (10.2 ± 4.2% over ≈ 12 months vs. 8.9 ± 4.0% over ≈ 4 months; adjusted difference 1.27%, 95% CI 0.20 to 2.34). At 12 months, swallowable-group %TWL had fallen to 6.6 ± 7.1% and the difference widened to 3.6% (95% CI 2.2 to 5.1). No between-device difference in metabolic change survived correction for multiple testing. A tipping-point analysis showed the end-of-treatment difference to be fragile to the observed attrition, whereas the 12-month difference was not.
CONCLUSION: Both IGBs produced meaningful weight loss and metabolic improvement, but comparison between them is strongly time-dependent: the swallowable balloon's short-term advantage per month of dwell was not maintained at 12 months. Incomplete adjustable-group follow-up means the device comparison should be read as an upper bound. Metabolic improvement was similar between devices and not proportional to weight loss.
METHODS: Sodium nitrite (50mg/L) was given to angiotensin II-infused hypertensive C57BL/6J (eight to ten weeks old) mice for two weeks in the drinking water. Arterial systolic blood pressure was measured using the tail-cuff method. Vascular responsiveness of isolated aortae and renal arteries was studied in wire myographs. The level of nitrite in the plasma and the cyclic guanosine monophosphate (cGMP) content in the arterial wall were determined using commercially available kits. The production of reactive oxygen species (ROS) and the presence of proteins (nitrotyrosine, NOx-2 and NOx-4) involved in ROS generation were evaluated with dihydroethidium (DHE) fluorescence and by Western blotting, respectively.
RESULTS: Chronic administration of sodium nitrite for two weeks to mice with angiotensin II-induced hypertension decreased systolic arterial blood pressure, reversed endothelial dysfunction, increased plasma nitrite level as well as vascular cGMP content. In addition, sodium nitrite treatment also decreased the elevated nitrotyrosine and NOx-4 protein level in angiotensin II-infused hypertensive mice.
CONCLUSIONS: The present study demonstrates that chronic treatment of hypertensive mice with sodium nitrite improves impaired endothelium function in conduit and resistance vessels in addition to its antihypertensive effect, partly through inhibition of ROS production.
METHODS AND RESULTS: Blood pressures, fasting lipid profile and fasting glucose were measured, and DASH score was computed based on a 22-item food frequency questionnaire. Older individuals, women, those not consuming alcohol and those undertaking regular physical activity were more likely to have higher DASH scores. In the Malaysian cohort, while total DASH score was not significantly associated with cardio-metabolic risk factors after adjusting for confounders, significant associations were observed for intake of green vegetable [0.011, standard error (SE): 0.004], and red and processed meat (-0.009, SE: 0.004) with total cholesterol. In the Philippines cohort, a 5-unit increase in total DASH score was significantly and inversely associated with systolic blood pressure (-1.41, SE: 0.40), diastolic blood pressure (-1.09, SE: 0.28), total cholesterol (-0.015, SE: 0.005), low-density lipoprotein cholesterol (-0.025, SE: 0.008), and triglyceride (-0.034, SE: 0.012) after adjusting for socio-demographic and lifestyle groups. Intake of milk and dairy products, red and processed meat, and sugared drinks were found to significantly associated with most risk factors.
CONCLUSIONS: Differential associations of DASH diet and dietary components with cardio-metabolic risk factors by country suggest the need for country-specific tailoring of dietary interventions to improve cardio-metabolic risk profiles.