Browsing by keyword "cardiovascular health"
Now showing items 1-5 of 5
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A Mobile Health Tool for Peer Support of Individuals Reentering Communities After IncarcerationIndividuals just released from prison, or returning citizens (RCs), face high mortality rates during the reentry period, with cardiovascular disease (CVD) being a leading cause. Peer mentors can support RCs' health, but they traditionally work in person, which may not always be feasible, particularly during pandemic outbreaks such as COVID-19. We used human-centered design to build a prototype of RCPeer, a web/mobile application (app) to support peer-led reentry efforts through CVD risk screening, action planning, linkage to resources addressing reintegration needs (e.g., housing, transportation), and goal-setting. We assessed feasibility, acceptability, and usability of RCPeer using mixed-methods. System Usability Scale (SUS) scores were 68 for peers and 66 for RCs, indicating good usability. Qualitative data suggests that RCPeer can support reentry tasks through RCs and peers sharing data, strengthen RC-peer relationships, and facilitate RCs meeting their goals. Future work is needed to enhance usability for RCs with limited technology experience.
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Baseline Characteristics from the Women Veterans Cohort Study: Gender Differences and Similarities in Health and Healthcare UtilizationIntroduction: With the unprecedented expansion of women's roles in the U.S. military during recent (post-9/11) conflicts in Iraq and Afghanistan, the number of women seeking healthcare through the Veterans Health Administration (VHA) has increased substantially. Women Veterans often present as medically complex due to multiple medical, mental health, and psychosocial comorbidities, and consequently may be underserved. Thus, we conducted the nationwide Women Veterans Cohort Study (WVCS) to examine post-9/11 Veterans' unique healthcare needs and to identify potential disparities in health outcomes and care. Methods: We present baseline data from a comprehensive questionnaire battery that was administered from 2016 to 2019 to a national sample of post-9/11 men and women Veterans who enrolled in Veterans Affairs care (WVCS2). Data were analyzed for descriptives and to compare characteristics by gender, including demographics; health risk factors and symptoms of cardiovascular disease, chronic pain, and mental health; healthcare utilization, access, and insurance. Results: WVCS2 included 1,141 Veterans (51% women). Women were younger, more diverse, and with higher educational attainment than men. Women also endorsed lower traditional cardiovascular risk factors and comorbidities (e.g., weight, hypertension) and greater nontraditional cardiovascular risk factors (e.g., trauma, psychological symptoms). More women reported single-site pain (e.g., neck, stomach, pelvic) and multisite pain, but did not differ from men in posttraumatic stress disorder (PTSD) symptoms or treatment for PTSD. Women seek care at VHA medical centers more frequently, often combined with outside health services, but do not significantly differ from men in their insurance coverage. Conclusion: Overall, this investigation indicates substantial variation in risk factors, health outcomes, and healthcare utilization among post-9/11 men and women Veterans. Further research is needed to determine best practices for managing women Veterans in the VHA healthcare system.
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Do U.S. adults living in food insecure households experience poorer cardiovascular health?Background Twelve percent of U.S. adults live in food insecure households, putting them at risk for adverse health outcomes. Relationships between food insecurity and cardiovascular disease (CVD) risk factors range from well-established to inconsistent and understudied. Food insecurity has been positively associated with poor glycemic control, tobacco use, and poor diet. The link with unhealthy body mass index (BMI) is only observed among women. Inconsistent evidence of relationships with hypertension and dyslipidemia has been found and literature examining physical activity is sparse. The relationships between food insecurity and overall cardiovascular health metrics have not been studied in a nationally representative sample of U.S. adults. Objective To quantify the extent to which food insecurity in U.S. adults is associated with poorer cardiovascular health, as measured by the Life Simple 7 metrics, and to assess gender differences in these associations. Methods This was a cross-sectional analysis of 1,446 National Health and Nutrition Examination Survey participants (2011-2012) aged >20 years. The United States Department of Agriculture Adult Food Security Module 10-item questionnaire assessed food insecurity status. Affirmative responses were summed and dichotomized as food secure (responses) or food insecure (>3). An ideal cardiovascular health score was generated from the sum of American Heart Association’s (AHA) Life’s Simple 7 metrics components achieved. The metrics included three health factors (blood glucose, cholesterol, and blood pressure) and four health behaviors (non-smoking, physical activity, healthy BMI, and healthy diet) as measured by laboratory values, anthropometric measures, self-reported questionnaires, and dietary recalls. Multiple linear and logistic regressions determined the associations between food insecurity and overall ideal cardiovascular health, defined as meeting all of the AHA Life Simple 7 metrics, and individual cardiovascular health components, respectively. The interaction between food insecurity and gender and ideal cardiovascular health was tested. Results No U.S. adults met all ideal cardiovascular health components. The 15.8% of adults living in food insecure households achieved a lower ideal cardiovascular health score (adjusted β coefficient: -0.27; 95% Confidence Interval (CI): [-0.50 to -0.04]) than adults living in food secure households. Tests for gender interaction were non-significant. In analyses assessing individual cardiovascular health components, only smoking was significant; adults living in food insecure households were half as likely to be non-smokers or recent quitters relative to their food secure counterparts (adjusted Odds Ratio 0.51; 95% CI: [0.31-0.81]). Conclusion Adults living in food insecure households achieved a lower ideal cardiovascular health score, which was driven by its association with smoking status. In addition to primary and secondary prevention, primordial prevention and cardiovascular health promotion approaches are necessary to reduce CVD burden. Effective policies and health behavior interventions are prudent, specifically to improve diet quality among all U.S. adults and tobacco cessation within food insecure populations.
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Physical Activity, Inactivity and Sedentary Behavior: Mediators of Vascular HealthAs part of the mini-symposium entitled "Divergent Impacts of Physical Activity and Sedentary Behavior on Glucose Intolerance and Vascular Function: From Laboratory to Clinic," this presentation shares data on the role of increased physical activity and sedentary behavior in mediating cardiovascular disease.
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Sedentary Behavior and Cardiovascular Disease Risk Factors among Latino AdultsBACKGROUND: Sedentary behavior has been associated with increased risk for cardiovascular disease (CVD) among primarily White samples, while studies among Latinos have shown mixed results. PURPOSE: To explore relationships between sedentary behavior and CVD risk factors among a sample of Latino adults. METHODS: A cross-sectional study of 602 Latino adults. Surveys of sedentary behavior and physical activity were orally administered. Anthropometric measurements included weight, height, waist circumference, and blood pressure. Medical record data for diabetes and dyslipidemia were obtained. RESULTS: Sedentary behavior was associated with BMI (beta = .164, p < .001) and waist circumference (beta = .162, p < .001). Sedentary behavior was not associated with blood pressure, high cholesterol, diabetes, or physical activity. CONCLUSIONS: The consequences of sedentary behavior may differ across groups. Evaluating the relationship between sedentary behavior and CVD risk is critical in identifying behaviors contributing to CVD.

