scholarly journals Relationship Distress in Couples With and Without Reported Existing Cardiovascular Risk Factors: Making a Case for Relationship Education (RE)

2020 ◽  
Vol 28 (1) ◽  
pp. 40-47
Author(s):  
Andrew P. Daire ◽  
Brooke Williams ◽  
Sandy-Ann M. Griffith ◽  
Naomi Wheeler ◽  
Kelsee Tucker ◽  
...  

Cardiovascular disease (CVD) is the leading cause of death in the United States, costing billions of dollars per year in direct and indirect costs, and its prevalence is projected to increase exponentially over the next 15 years. Additionally, low-income and ethnic minority populations are especially at risk for CVD and CVD-related adverse health outcomes. This study aimed to examine the influence of a 12-hr, evidence-based relationship education (RE) program, Within Our Reach (WOR), on relational distress and satisfaction in participants with and without CVD risk factors. Findings indicated that participants significantly improved in their relationship satisfaction following the RE intervention with the female group improving in their relationship satisfaction at an amount significantly greater than the male group. However, no differences were found between CVD risk factor group and non-CVD risk factor group on their relationship satisfaction either before or after the RE intervention. Clinical implications and future directions for research in this area are also discussed.

Author(s):  
Deniz Yeter ◽  
Ellen C. Banks ◽  
Michael Aschner

There is no safe detectable level of lead (Pb) in the blood of young children. In the United States, predominantly African-American Black children are exposed to more Pb and present with the highest mean blood lead levels (BLLs). However, racial disparity has not been fully examined within risk factors for early childhood Pb exposure. Therefore, we conducted secondary analysis of blood Pb determinations for 2841 US children at ages 1–5 years with citizenship examined by the cross-sectional 1999 to 2010 National Health and Nutrition Examination Survey (NHANES). The primary measures were racial disparities for continuous BLLs or an elevated BLL (EBLL) ≥5 µg/dL in selected risk factors between non-Hispanic Black children (n = 608) and both non-Hispanic White (n = 1208) or Hispanic (n = 1025) children. Selected risk factors included indoor household smoking, low income or poverty, older housing built before 1978 or 1950, low primary guardian education <12th grade/general education diploma (GED), or younger age between 1 and 3 years. Data were analyzed using a regression model corrected for risk factors and other confounding variables. Overall, Black children had an adjusted +0.83 µg/dL blood Pb (95% CI 0.65 to 1.00, p < 0.001) and a 2.8 times higher odds of having an EBLL ≥5 µg/dL (95% CI 1.9 to 3.9, p < 0.001). When stratified by risk factor group, Black children had an adjusted 0.73 to 1.41 µg/dL more blood Pb (p < 0.001 respectively) and a 1.8 to 5.6 times higher odds of having an EBLL ≥5 µg/dL (p ≤ 0.05 respectively) for every selected risk factor that was tested. For Black children nationwide, one in four residing in pre-1950 housing and one in six living in poverty presented with an EBLL ≥5 µg/dL. In conclusion, significant nationwide racial disparity in blood Pb outcomes persist for predominantly African-American Black children even after correcting for risk factors and other variables. This racial disparity further persists within housing, socio-economic, and age-related risk factors of blood Pb outcomes that are much more severe for Black children.


2021 ◽  
Vol 5 (1) ◽  
pp. 30-41
Author(s):  
Heather Carter-Templeton ◽  
Gary Templeton ◽  
Barbara Ann Graves ◽  
Leslie G. Cole

Background: Cardiovascular disease (CVD) is the number one cause of death in the United States with risk factors including hypertension, hyperlipidemia, diabetes, obesity, smoking, physical inactivity, age, genetics, and unhealthy diets. A university-based workplace wellness program (WWP) consisting of an annual biometric screening assessment with targeted, individualized health coaching was implemented in an effort to reduce these risk factors while encouraging and nurturing ideal cardiovascular health.Objective: The purpose of this study was to examine and describe the prevalence of single and combined, or multiple, CVD risk factors within a workplace wellness dataset.Methods: Cluster analysis was used to determine CVD risk factors within biometric screening data (BMI, waist circumference, LDL, total cholesterol, HDL, triglycerides, blood glucose age, ethnicity, and gender) collected during WWP interventions.Results: The cluster analysis provided visualizations of the distributions of participants having specific CVD risk factors. Of the 8,802 participants, 1,967 (22.4%) had no CVD risk factor, 1,497 (17%) had a single risk factor, and 5,529 (60.5%) had two or more risk factors. The majority of sample members are described as having more than one CVD risk factor with 78% having multiple.Conclusion: Cluster analysis demonstrated utility and efficacy in categorizing participant data based on their CVD risk factors. A baseline analysis of data was captured and provided understanding and awareness into employee health and CVD risk. This process and analysis facilitated WWP planning to target and focus on education to promote ideal cardiovascular health.


Author(s):  
Norrina B Allen ◽  
Mercedes Carnethon ◽  
Penny Gordon-Larsen ◽  
Catarina Kiefe ◽  
Ana Diez-Roux ◽  
...  

Background: Over 65 million Americans live in Primary Care Health Professional Shortage Areas (HPSAs) which are associated with less preventive care, poorer general health and an increased risk for hospitalizations. However, little is known about how living in a HPSA impacts primary prevention for CVD. Methods: We used data from CARDIA, a multi-center cohort study of black and white men and women. Participants who had risk factor data and geocoded addresses available at year 20 (2005) were included in this analysis (n=3479). Primary care HPSAs were defined using data from US HRSA. Diabetes, hypertension and hyperlipidemia prevalence and control were defined according to ADA Guidelines 2000, JNC VI, and ATP III, respectively. Individuals who reported being diagnosed or reported use of medications were considered aware of the risk factor. The prevalence of smoking and obesity was also examined. Neighborhood (census block) characteristics were derived from Census 2000 and ACCRA. Multivariable Poisson models were used to examine the independent association of HPSA residence with each outcome. Results: Over 11% of CARDIA participants live in a HPSA. Residents of HPSAs were more likely to be female (64% vs 56%), African American (81% vs 43%), have low education, and low income. HPSA residents had more difficulty paying for food/basics and medical care, had poorer access to medical care and lived in areas with a higher cost of healthcare and low neighborhood SES. HPSA residents had a higher prevalence of hypertension (PR 1.39, 95% CI 1.18-1.65), obesity (1.30, 1.16-1.45) and smoking (1.72, 1.46-2.03) and were less likely to have their hypertension (0.79, 0.66-0.95) or hyperlipidemia (0.66, 0.44-0.99) controlled as compared to non-residents. The association between HPSA and risk factors prevalence was explained by race and neighborhood SES. The cost of medical care and having a usual source of care were the largest mediators of the association between HPSA residence and risk factor control. Conclusion: The increased prevalence and poorer control of CVD risk factors in HPSAs, can be explained by the demographic and neighborhood characteristics of their residents. Future interventions should be targeted to these high-risk populations found within HPSAs.


2020 ◽  
Author(s):  
Geofrey Musinguzi ◽  
Rawlance Ndejjo ◽  
Isaac Ssinabulya ◽  
Hilde Bastiaens ◽  
Harm van Marwijk ◽  
...  

Abstract Introduction Sub-Saharan Africa (SSA) is experiencing an increasing burden of Cardiovascular Diseases (CVDs). Modifiable risk factors including hypertension, diabetes, obesity, central obesity, sedentary behaviours, smoking, poor diet (characterised by inadequate vegetable and fruit consumption), and psychosocial stress are attributable to the growing burden of CVDs. Small geographical area mapping and analysis of these risk factors for CVD is lacking in most of sub-Saharan Africa and yet such data has the potential to inform monitoring and exploration of patterns of morbidity, health-care use, and mortality, as well as the epidemiology of risk factors. In the current study, we map and describe the distribution of the CVD risk factors in 20 parishes in two neighbouring districts in Uganda. Methods A baseline survey benchmarking a type-2 hybrid stepped wedge cluster randomised trial design was conducted in December 2018 and January 2019. A sample of 4372 adults aged 25-70 years was drawn from 3689 randomly selected households across 80 villages in 20 parishes in Mukono and Buikwe districts in Uganda. Descriptive statistics and generalized linear modelling controlled for clustering were conducted for this analysis in Stata 13.0, and a visual map showing risk factor distribution developed in QGIS. Results Mapping the prevalence of selected CVD risk factors indicated substantial gender and small area geographic heterogeneity. Patterns and clustering were observed for some major risk factors for CVDs including hypertension, physical inactivity, smoking, and risk factor combination. Prevalence of unhealthy diet was very high across all parishes with no significant observable differences across areas. Conclusion Modifiable cardiovascular risk factors are common in this low income context. Moreover, across small area geographic setting, it appears significant differences in distribution of risk factors exist. These differences suggest that underlying drivers such as sociocultural, environmental and economic determinants may be promoting or inhibiting the observed risk factor prevalences which should be further explored.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Longjian Liu

Objectives: Adults with chronic kidney disease (CKD) carry an extraordinarily excess risk for cardiovascular disease (CVD). The present study aimed to test two hypotheses: (1) Non-Hispanic black (NHB) with CKD have significantly higher CVD risk profiles than non-Hispanic white (NHW). (2) This difference significantly contributes to the excess risk of CVD in NHB versus NHW. Methods: A total of 3,939 participants aged 21-74 years old in the baseline Chronic Renal Insufficiency Cohort Study, a multiethnic population-based study supported by the National Institute of Diabetes and Digestive and Kidney Diseases, were analyzed. CKD was classified using estimate glomerular filtration rate. A sum weighted CVDRisk score was developed from multiple CVD risk factors. Differences in CVDRisk score by race/ethnicity were tested using quantile regression (QR), a novel data mining approach to identify distribution of risk factors and outcomes. Results: The prevalence of CVD was 30.7 and 38.2% in NHW and NHB with CKD (p<0.001). The means (SD) of CVDRisk score were 12.6 (5.7) in NHW and 14.6 (6.4) in NHB (p<0.001). QR analysis indicated that NHB had significantly higher CVDRisk score in all quantile (Qs) of CVDRisk score than NHW. This race/ethnicity difference was even worse among younger NHB (aged <65). An estimated 32% of the excess CVD prevalence for NHB versus NHW may be attributable to a higher CVDRisk score in those aged<65 years old. Conclusion: The study highlights an excess and disproportionate distribution of CVD risk factor profile in subjects with CKD for NHB versus NHW. An estimated one third of the excess CVD prevalence in younger NHB with CKD could be explained by their higher CVD risk factor profiles.


2020 ◽  
Author(s):  
Geofrey Musinguzi ◽  
Rawlance Ndejjo ◽  
Isaac Ssinabulya ◽  
Hilde Bastiaens ◽  
Harm van Marwijk ◽  
...  

Abstract Introduction Sub-Saharan Africa (SSA) is experiencing an increasing burden of Cardiovascular Diseases (CVDs). Modifiable risk factors including hypertension, diabetes, obesity, central obesity, sedentary behaviours, smoking, poor diet (characterised by inadequate vegetable and fruit consumption), and psychosocial stress are attributable to the growing burden of CVDs. Small geographical area mapping and analysis of these risk factors for CVD is lacking in most of sub-Saharan Africa and yet such data has the potential to inform monitoring and exploration of patterns of morbidity, health-care use, and mortality, as well as the epidemiology of risk factors. In the current study, we map and describe the distribution of the CVD risk factors in 20 parishes in two neighbouring districts in Uganda. Methods A baseline survey benchmarking a type-2 hybrid stepped wedge cluster randomised trial design was conducted in December 2018 and January 2019. A sample of 4372 adults aged 25-70 years was drawn from 3689 randomly selected households across 80 villages in 20 parishes in Mukono and Buikwe districts in Uganda. Descriptive statistics and generalized linear modelling controlled for clustering were conducted for this analysis in Stata 13.0, and a visual map showing risk factor distribution developed in QGIS. Results Mapping the prevalence of selected CVD risk factors indicated substantial gender and small area geographic heterogeneity. Patterns and clustering were observed for some major risk factors for CVDs including hypertension, physical inactivity, smoking, and risk factor combination. Prevalence of unhealthy diet is very high across all parishes with no significant observable difference. Conclusion Modifiable cardiovascular risk factors are common in this low income context. Moreover, across small area geographic setting, it appears significant differences in distribution of risk factors exist. These differences suggest that underlying drivers such as sociocultural, environmental and economic determinants may be promoting or inhibiting the observed risk factor prevalences which should be further explored.


2017 ◽  
Vol 25 (4) ◽  
pp. 291-300 ◽  
Author(s):  
Andrew P. Daire ◽  
Xun Liu ◽  
Brooke Williams ◽  
Kelsee Tucker ◽  
Naomi Wheeler ◽  
...  

Cardiovascular (CV) disease is the leading cause of death in the United States (Hoyert & Xu, 2012), and low-income and ethnic minorities are disproportionally affected. Relationship education (RE) interventions have been shown to improve relationship quality and reduce distress in individuals and couples, including low-income and ethnic minority populations. This study examined the effect of an evidenced-based, individual-oriented, RE intervention, within my reach, (WMR), on emotional distress in a population of mostly low-income and ethnic minority individuals with existing CV disease and/or CV disease risk factors (CVD) to those without disease or risk factors (non-CVD). Results showed significant improvements in overall distress for both the CVD and non-CVD groups, but neither group improved significantly more than the other. The authors found similar changes in distress levels when we examined a subset of the population that met the criteria for clinical distress. Also, data showed that CVD participants presented with significantly greater overall distress than non-CVD participants. These findings are consistent with prior research that showed the effectiveness of the WMR curriculum in stress reduction. Furthermore, this study contributes knowledge about a unique population, individuals with CV disease and/or CVD, who may greatly benefit from interventions focused on stress reduction.


2019 ◽  
Author(s):  
Geofrey Musinguzi ◽  
Rawlance Ndejjo ◽  
Isaac Ssinabulya ◽  
Hilde Bastiaens ◽  
Harm van Marwijk ◽  
...  

Abstract Introduction Sub-Saharan Africa (SSA) is experiencing an increasing burden of Cardiovascular Diseases (CVDs). Modifiable risk factors including hypertension, diabetes, obesity, central obesity, sedentary behaviours, smoking, poor diet (characterised by inadequate vegetable and fruit consumption), and psychosocial stress are attributable to the growing burden of CVDs. Small geographical area mapping and analysis of these risk factors for CVD is lacking in most of sub-Saharan Africa and yet such data has the potential to inform monitoring and exploration of patterns of morbidity, health-care use, and mortality, as well as the epidemiology of risk factors. In the current study, we map and describe the distribution of the CVD risk factors in 20 parishes in two neighbouring districts in Uganda. Methods A baseline survey benchmarking a type-2 hybrid stepped wedge cluster randomised trial design was conducted in December 2018 and January 2019. A sample of 4372 adults aged 25-70 years was drawn from 3689 randomly selected households across 80 villages in 20 parishes in Mukono and Buikwe districts in Uganda. Descriptive statistics and generalized linear modelling controlled for clustering were conducted for this analysis in Stata 13.0, and a visual map showing risk factor distribution developed in QGIS. Results Mapping the prevalence of selected CVD risk factors indicated substantial gender and small area geographic heterogeneity. Patterns and clustering were observed for some major risk factors for CVDs including hypertension, physical inactivity, smoking, and risk factor combination. Prevalence of unhealthy diet is very high across all parishes with no significant observable difference. Conclusion Modifiable cardiovascular risk factors are common in this low income context. Moreover, across small area geographic setting, it appears significant differences in distribution of risk factors exist. These differences suggest that underlying drivers such as sociocultural, environmental and economic determinants may be promoting or inhibiting the observed risk factor prevalences which should be further explored.


2020 ◽  
Author(s):  
Aireen Wingert ◽  
Jennifer Pillay ◽  
Michelle Gates ◽  
Samantha Guitard ◽  
Sholeh Rahman ◽  
...  

Background: Identification of high-risk groups is needed to inform COVID-19 vaccine prioritization strategies in Canada. A rapid review was conducted to determine the magnitude of association between potential risk factors and risk of severe outcomes of COVID-19. Methods: Methods, inclusion criteria, and outcomes were prespecified in a protocol that is publicly available. Ovid MEDLINE(R) ALL, Epistemonikos COVID-19 in LOVE Platform, and McMaster COVID-19 Evidence Alerts, and select websites were searched to 15 June 2020. Studies needed to be conducted in Organisation for Economic Co-operation and Development countries and have used multivariate analyses to adjust for potential confounders. After piloting, screening, data extraction, and quality appraisal were all performed by a single reviewer. Authors collaborated to synthesize the findings narratively and appraise the certainty of the evidence for each risk factor-outcome association. Results: Of 3,740 unique records identified, 34 were included in the review. The studies included median 596 (range 44 to 418,794) participants with a mean age between 42 and 84 years. Half of the studies (17/34) were conducted in the United States and 19/34 (56%) were rated as good quality. There was low or moderate certainty evidence for a large (≥2-fold) association with increased risk of hospitalization in people having confirmed COVID-19, for the following risk factors: obesity class III, heart failure, diabetes, chronic kidney disease, dementia, age over 45 years (vs. younger), male gender, Black race/ethnicity (vs. non-Hispanic white), homelessness, and low income (vs. above average). Age over 60 and 70 years may be associated with large increases in the rate of mechanical ventilation and severe disease, respectively. For mortality, a large association with increased risk may exist for liver disease, Bangladeshi ethnicity (vs. British white), age over 45 years (vs. <45 years), age over 80 years (vs. 65-69 years), and male gender in those 20-64 years (but not older). Associations with hospitalization and mortality may be very large (≥5-fold increased risk) for those aged over 60 years. Conclusion: Among other factors, increasing age (especially >60 years) appears to be the most important risk factor for severe outcomes among those with COVID-19. There is a need for high quality primary research (accounting for multiple confounders) to better understand the level of risk that might be associated with immigration or refugee status, religion or belief system, social capital, substance use disorders, pregnancy, Indigenous identity, living with a disability, and differing levels of risk among children. PROSPERO registration: CRD42020198001


2021 ◽  
Vol 6 (1) ◽  
pp. e003499
Author(s):  
Ryan G Wagner ◽  
Nigel J Crowther ◽  
Lisa K Micklesfield ◽  
Palwende Romauld Boua ◽  
Engelbert A Nonterah ◽  
...  

IntroductionCardiovascular disease (CVD) risk factors are increasing in sub-Saharan Africa. The impact of these risk factors on future CVD outcomes and burden is poorly understood. We examined the magnitude of modifiable risk factors, estimated future CVD risk and compared results between three commonly used 10-year CVD risk factor algorithms and their variants in four African countries.MethodsIn the Africa-Wits-INDEPTH partnership for Genomic studies (the AWI-Gen Study), 10 349 randomly sampled individuals aged 40–60 years from six sites participated in a survey, with blood pressure, blood glucose and lipid levels measured. Using these data, 10-year CVD risk estimates using Framingham, Globorisk and WHO-CVD and their office-based variants were generated. Differences in future CVD risk and results by algorithm are described using kappa and coefficients to examine agreement and correlations, respectively.ResultsThe 10-year CVD risk across all participants in all sites varied from 2.6% (95% CI: 1.6% to 4.1%) using the WHO-CVD lab algorithm to 6.5% (95% CI: 3.7% to 11.4%) using the Framingham office algorithm, with substantial differences in risk between sites. The highest risk was in South African settings (in urban Soweto: 8.9% (IQR: 5.3–15.3)). Agreement between algorithms was low to moderate (kappa from 0.03 to 0.55) and correlations ranged between 0.28 and 0.70. Depending on the algorithm used, those at high risk (defined as risk of 10-year CVD event >20%) who were under treatment for a modifiable risk factor ranged from 19.2% to 33.9%, with substantial variation by both sex and site.ConclusionThe African sites in this study are at different stages of an ongoing epidemiological transition as evidenced by both risk factor levels and estimated 10-year CVD risk. There is low correlation and disparate levels of population risk, predicted by different risk algorithms, within sites. Validating existing risk algorithms or designing context-specific 10-year CVD risk algorithms is essential for accurately defining population risk and targeting national policies and individual CVD treatment on the African continent.


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