Dataset Information

Prevalence of Ideal Cardiovascular Health Metrics in the Million Veteran Program.

ABSTRACT: No data exist on the prevalence of ideal cardiovascular health metrics in a national sample of U.S. veterans. We assessed the prevalence of ideal Life's Simple Seven (LSS) metrics in a cross-sectional study of 554,855 U.S. veterans enrolled in the Million Veteran Program (MVP) from 2011 to 2017. We used the American Heart Association's established criteria to categorize each LSS metric as either poor, intermediate, or ideal for a veteran at time of MVP enrollment. Information on adiposity/body mass index, smoking status, diet, and physical activity was obtained from self-reported survey data, and clinical measurements for total cholesterol, blood pressure, and plasma glucose were obtained from electronic health records. Complete data on all LSS health factors were available for 201,745 veterans. The prevalence of having 0, 1, 2, 3, 4, 5, 6, and 7 ideal cardiovascular health metrics was 29.2%, 34.6%, 22.6%, 10.0%, 3.0%, 0.6%, <0.1%, and 0%, respectively. The frequency of ideal body mass index, physical activity, smoking status, total cholesterol, blood pressure, and plasma glucose was 19.4%, 3.8%, 27.0%, 21.8%, 17.8%, and 34.5%, respectively, in our study population. Among the 7 metrics, MVP participants were least likely to achieve ideal diet (0.4%), particularly the recommendation for fruit and vegetable (at least 4.5 cups/day) intake. Our data show an extremely low prevalence of ideal cardiovascular health factors among veterans in the MVP, especially for diet and physical activity. These findings underscore the need to improve adherence to modifiable lifestyle factors that could result in subsequent reduction in cardiovascular disease burden among veterans.

SUBMITTER: Nguyen XT

PROVIDER: S-EPMC7020617 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Prevalence of Ideal Cardiovascular Health Metrics in the Million Veteran Program.

Nguyen Xuan-Mai T XT Quaden Rachel M RM Wolfrum Sarah S Song Rebecca J RJ Yan Joseph Q JQ Gagnon David R DR Wilson Peter W F PWF Cho Kelly K O'Donnell Christopher C Gaziano J Michael JM Djousse Luc L

The American journal of cardiology 20180412 2

No data exist on the prevalence of ideal cardiovascular health metrics in a national sample of U.S. veterans. We assessed the prevalence of ideal Life's Simple Seven (LSS) metrics in a cross-sectional study of 554,855 U.S. veterans enrolled in the Million Veteran Program (MVP) from 2011 to 2017. We used the American Heart Association's established criteria to categorize each LSS metric as either poor, intermediate, or ideal for a veteran at time of MVP enrollment. Information on adiposity/body m ...[more]

PMID: 29753396

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Project description:BackgroundGenetic studies may help identify causal pathways; therefore, we sought to identify genetic determinants of ideal CVH and their association with CVD outcomes in the multi-population Veteran Administration Million Veteran Program.MethodsAn ideal health score (IHS) was calculated from 3 clinical factors (blood pressure, total cholesterol, and blood glucose levels) and 3 behavioral factors (smoking status, physical activity, and BMI), ascertained at baseline. Multi-population genome-wide association study (GWAS) was performed on IHS and binary ideal health using linear and logistic regression, respectively. Using the genome-wide significant SNPs from the IHS GWAS, we created a weighted IHS polygenic risk score (PRSIHS) which was used (i) to conduct a phenome-wide association study (PheWAS) of associations between PRSIHS and ICD-9 phenotypes and (ii) to further test for associations with mortality and selected CVD outcomes using logistic and Cox regression and, as an instrumental variable, in Mendelian Randomization.ResultsThe discovery and replication cohorts consisted of 142,404 (119,129 European American (EUR); 16,495 African American (AFR)), and 45,766 (37,646 EUR; 5,366 AFR) participants, respectively. The mean age was 65.8 years (SD = 11.2) and 92.7% were male. Overall, 4.2% exhibited ideal CVH based on the clinical and behavioral factors. In the multi-population meta-analysis, variants at 17 loci were associated with IHS and each had known GWAS associations with multiple components of the IHS. PheWAS analysis in 456,026 participants showed that increased PRSIHS was associated with a lower odds ratio for many CVD outcomes and risk factors. Both IHS and PRSIHS measures of ideal CVH were associated with significantly less CVD outcomes and CVD mortality.ConclusionA set of high interest genetic variants contribute to the presence of ideal CVH in a multi-ethnic cohort of US Veterans. Genetically influenced ideal CVH is associated with lower odds of CVD outcomes and mortality.

Project description:BackgroundLifestyle changes when transitioning from high-school to college expose students to unhealthy behaviors associated with high cardiovascular risk. The study aimed to assess the cardiovascular behavior metrics according to the AHA criteria, in freshman college adolescents from Northwest Mexico.MethodsThe study was cross-sectional. Demographics and health history were collected by questionnaires. Four behaviors were evaluated: diet quality using a duplicated FFQ, physical activity (PA) using the IPAQ, smoking, and body mass index (BMI) percentile; blood pressure was measured as a biological metric. Intakes were averaged and summed for each food group; sodium and saturated fat were calculated using the Mexican System of Food Equivalents or the USDA Database. Metrics were categorized into ideal, intermediate or poor level according to the AHA criteria. Diet outliers (± 3 SD) were trimmed and data was tested for normality. Mean±SD were calculated for continuous and percentages for categorical variables. Chi-square test compared the prevalence of demographic variables and levels of each cardiovascular metric by sex. Independent T-test evaluated differences in anthropometrics, dietary, and PA by sex, and the prevalence of ideal vs. non-ideal dietary intakes.ResultsParticipants were n = 228, 55.6% men, age = 18.5±0.4 y. A higher prevalence of men indicated working, playing sports, and family history hypertriglyceridemia (p < 0.05). Men showed higher weight, height, BMI, waist, blood pressure, and lower PA and body fat (p < 0.05). Concerning diet quality, significant differences by sex were observed in nuts and seeds (1.1±0.6 and 0.9±0.6 oz/week, p = 0.042) and processed meats (749.8±639 and 503.6±300.3 g/week, p = 0.002); only fish and shellfish group reached AHA recommendations (513.1 ± 450.7 vs. 501.7 ± 428 g/week, p = 0.671) for men and women, respectively. Ideal level was reached by 70.9% participants for BMI percentile, 87% for smoking, 67.2% for blood pressure, 25.9% for PA, and 12.2% for diet score. Regarding food groups and nutrients, the lower prevalence in the ideal level was for sugar-sweetened beverages (10%, p = 0.013) and processed meats (4.8%, p = 0.208), and the highest for fish and shellfish (87.8%, p = 0.281) .ConclusionsThe diet and PA patterns of Northwest Mexican freshman adolescents make them a high-risk group for developing long-term unhealthy habits and cardiovascular complications early in adulthood.

Project description:ImportanceWhether optimal cardiovascular health metrics may counteract the risk of cardiovascular events among patients with prediabetes or diabetes is unclear.ObjectiveTo investigate the associations of ideal cardiovascular health metrics (ICVHMs) with subsequent development of cardiovascular disease (CVD) among participants with prediabetes or diabetes as compared with participants with normal glucose regulation.Design, setting, and participantsThe China Cardiometabolic Disease and Cancer Cohort Study was a nationwide, population-based, prospective cohort study of 20 communities from various geographic regions in China. The study included 111 765 participants who were free from CVD or cancer at baseline. Data were analyzed between 2011 and 2016.ExposuresPrediabetes and diabetes were defined according to the American Diabetes Association 2010 criteria. Seven ICVHMs were adapted from the American Heart Association recommendations.Main outcomes and measuresThe composite of incident fatal or nonfatal CVD, including cardiovascular death, myocardial infarction, stroke, and hospitalized or treated heart failure.ResultsOf the 111 765 participants, 24 881 (22.3%) had normal glucose regulation, 61 024 (54.6%) had prediabetes, and 25 860 (23.1%) had diabetes. Mean (SD) age ranged from 52.9 (8.6) years to 59.4 (8.7) years. Compared with participants with normal glucose regulation, among participants with prediabetes, the multivariable-adjusted hazard ratio for CVD was 1.34 (95% CI, 1.16-1.55) for participants who had 1 ICVHM or less and 0.57 (95% CI, 0.43-0.75) for participants who had at least 5 ICVHMs; among participants with diabetes, the hazard ratios for CVD were 2.05 (95% CI, 1.76-2.38) and 0.80 (95% CI, 0.56-1.15) for participants who had 1 ICVHM or less and at least 5 ICVHMs, respectively. Such pattern of association between ICVHMs and CVD was more prominent for participants younger than 55 years (prediabetes and at least 5 ICVHMs: hazard ratio [HR], 0.32; 95% CI, 0.16-0.63; 1 ICVHM or less: HR, 1.58; 95% CI, 1.13-2.21; diabetes and at least 5 ICVHMs: HR, 0.99; 95% CI, 0.44-2.26; 1 ICVHM or less: HR, 2.46; 95% CI, 1.71-3.54; compared with normal glucose regulation) than for participants 65 years or older (prediabetes and at least 5 ICVHMs: HR, 0.80; 95% CI, 0.50-1.26; 1 ICVHM or less: HR, 1.01; 95% CI, 0.79-1.31; diabetes and at least 5 ICVHMs: HR, 0.79; 95% CI, 0.46-1.35; 1 ICVHM or less: HR, 1.73; 95% CI, 1.36-2.22, compared with normal glucose regulation; P values for interaction ≤.02). Additionally, the hazard ratio for CVD per additional ICVHM was 0.82 (95% CI, 0.79-0.86) among participants with prediabetes and was 0.85 (95% CI, 0.80-0.89) among participants with diabetes.Conclusions and relevanceParticipants with prediabetes or diabetes who had 5 or more ICVHMs exhibited lower or no significant excess CVD risks compared with the participants with normal glucose regulation.

Dataset Information

Prevalence of Ideal Cardiovascular Health Metrics in the Million Veteran Program.

Publications

Prevalence of Ideal Cardiovascular Health Metrics in the Million Veteran Program.

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