Peer Reviewed Articles on the the Cardiovascular Diseased Population

• Loading metrics

Open Access

Peer-reviewed

Inquiry Commodity

Risk factors associated with cardiovascular affliction amid adult Nevadans

• Dieu-My T. Tran,
• Nirmala Lekhak,
• Karen Gutierrez,
• Sheniz Moonie

x

• Published: February 17, 2021
• https://doi.org/10.1371/periodical.pone.0247105

Figures

Abstract

Objective

Cardiovascular disease (CVD) remains the number one crusade of expiry in the Usa and Nevada is ranked 11th highest for CVD mortality. The written report sought to examine the association between self-reported hazard factors and CVD presence among developed Nevadans, betwixt years 2011 and 2017.

Methods

This is a cross-exclusive, population-based study that utilized the 2011 and 2017 Nevada Behavioral Risk Factor Surveillance System data. Information were analyzed between 2019 and 2020.

Results

A full of v,493 and iii,764 subjects in 2011 and 2017, respectively were included. BMI (overweight/obesity) remained the most prevalent CVD adventure factor. The second most common CVD risk factor was high cholesterol, followed by hypertension. Compared to females, males were 1.64 times more likely to have reported CVD in 2011, which increased to ane.92 in 2017. Compared to not-smokers, everyday smokers were i.96 times more likely in 2011 and iii.62 times more likely in 2017. Individuals with high cholesterol condition were 2.67 times more likely to have reported CVD compared to those with normal levels in 2011. In 2011, individuals with hypertension were three.74 times more likely to take reported CVD compared to those who did non accept hypertension. This human relationship increased its magnitude of run a risk to 6.18 times more than probable in 2017. In 2011, individuals with diabetes were ii.ninety times more than likely to accept reported CVD compared to those without the status.

Conclusions

Public health and healthcare providers demand to target preventable cardiovascular hazard factors and develop recommendations and strategies locally, nationally, and globally.

Citation: Tran D-MT, Lekhak North, Gutierrez K, Moonie S (2021) Take chances factors associated with cardiovascular disease amid adult Nevadans. PLoS Ane 16(two): e0247105. https://doi.org/10.1371/journal.pone.0247105

Editor: Sabine Rohrmann, Academy of Zurich, SWITZERLAND

Received: August 20, 2020; Accustomed: February i, 2021; Published: Feb 17, 2021

Copyright: © 2021 Tran et al. This is an open admission article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: The data underlying the results presented in the study are available from the Behavioral Risk Factor Surveillance Arrangement website (https://www.cdc.gov/brfss/data_documentation/index.htm).

Funding: The authors received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Cardiovascular disease (CVD) remains the number 1 crusade of decease in the United States and globally. CVD accounts for 17.6 one thousand thousand deaths globally, which is an increase of 14.five% from 2006. During 2014 in the U.S., CVD and stroke accounted for an estimated 325.2 billion in straight and indirect costs, and this gauge is projected to increase [1]. Specifically, the prevalence of CVD in adults ages twenty years and older is 48% with increasing risk with advancing historic period in both males and females [1].

Multiple CVD risk factors such as smoking and high blood pressure identify individuals at increased take chances for CVD events. These run a risk factors tend to co-occur, thus further amplifying the risk [two]. Approximately half of American adults have at to the lowest degree one of 3 central cardiovascular adventure factors (hypertension, hyperlipidemia, and smoking) despite the bulk of these take chances factors being preventable [three]. Hypertension is a meaning run a risk factor for CVD, and information technology is the well-nigh prevalent risk factor. From 2011 to 2014, the prevalence of hypertension was 45.6% in adults using the new blood pressure classification (systolic blood pressure ≥ 130 mm Hg or diastolic claret pressure ≥ 80 mm Hg [4]. In contrast, it was 31.9% using the erstwhile guidelines (systolic blood pressure ≥ 140 mm Hg or diastolic blood pressure ≥ eighty mm Hg [5]. 1 of the strongest predictors of hypertension is the high intake of sodium [vi]. Co-ordinate to a 2013, nationally representative sample of 827 adults, sodium intake was 4205 mg/d for males and 3039 mg/d for females, exceeding the recommendation of 2300 mg/d [1]. According to the American Heart Association (AHA) nigh recent guideline updates, among the cardiovascular hazard factors, tobacco utilize remains a leading cause of preventable decease in the Usa and beyond the globe [1]. Tobacco use amercement the heart and blood vessels, and nicotine raises claret pressure [iii]. From 2013 to 2016, 26 million adults were diagnosed with diabetes mellitus, excluding the 9.4 one thousand thousand adults being undiagnosed. Adults who have diabetes take a higher risk of decease from CVD compared to adults who do not take diabetes [3].

Additionally, a higher torso mass index (BMI) was and continues to be associated with a significantly higher risk of CVD death. The prevalence of obesity was 39.vi% among American adults [1]. However, literature supporting that a sedentary lifestyle is associated with an increased risk of cardiovascular events and mortality, less than 23% of adults report participating in inadequate amounts of physical activity coming together the 2008 federal guidelines [ane]. Ane of the leading causes of the increase in sedentary activity is the increase in applied science usage, peculiarly smartphones.

Insufficiently, Nevada is ranked 11th highest for CVD death rate in the U.S [1, 7]. In 2010, Nevadan adults who suffered from a centre set on were higher compared to the national boilerplate (v.0% versus 4.2%, respectively) [viii]. Based on the 2017 data, vi,417 people died of CVD in Nevada [seven]. When comparing Nevada CVD and stroke run a risk factors to the Usa, Nevada reported a slightly higher prevalence of electric current smokers (17.6% versus 17.1%, respectively) as well equally fewer individuals participating in more than than 150 minutes of aerobic concrete activity per week (65.7% versus 66.half dozen%, respectively) [7]. Even so, Nevada has a lower prevalence of being overweight or obese (based on cocky-reported BMI) compared to the nation (65.vii% versus 66.6%, respectively) [7]. It is of involvement to explore the cardiovascular risk factors present amid developed Nevadans and identify changes over the last decade to encourage proper funding and prevention/intervention of CVD. The purpose of this study was to examine the clan between self-reported risk factors (heavy drinking, smoking, loftier cholesterol, hypertension, overweight/obesity, and diabetes) and CVD presence among adult Nevadans. A comparison of these factors between years 2011 and 2017 was assessed.

Materials and methods

This is a cross-sectional, population-based report that utilizes the 2011 and 2017 Nevada Behavioral Take a chance Factor Surveillance Organization (BRFSS) data [nine]. The BRFSS is an annual random digit punch (RDD) phone survey that collaborates with the Centers for Illness Control and Prevention and each state across the Nation and U.South territories. Self-reported health conditions and risk behaviors are gathered across a representative sample of non-institutionalized adults 18 years and older for surveillance purposes. In an attempt to capture all segments of the population, landlines and cellular phones are incorporated. State health departments conduct telephone surveys, and they receive technical and methodological assistance from the CDC as needed. The landline and cell phone numbers selected for the study are obtained through random sampling. This survey consists of 3 components: the core component, optional modules, and country added content-specific questions. Nationwide and state-specific rates are available for comparing. Due to the selection and weighting procedures, rates are generalizable for each land and the nation. Information including sample weighting information are publicly available from the CDC website and available for download and analysis including the BRFSS Data User Guide [9]. Information analysis occurred from 2019 through 2020.

Data analysis

Two dichotomous variables were combined to construct the binary dependent variable, self-report for cardiovascular disease (CVD) presence. This variable included the presence/absenteeism of coronary center illness (CHD) and/or myocardial infarction (MI). Participants were asked if a md, nurse, or other health professional had ever told them they have had coronary heart disease or myocardial infarction (MI). If the participant said yes to having either of these two conditions, they were considered to have CVD for assay purposes. Contained variables were blocked in club to understand their respective contributions to the result of interest and included demographic variables (historic period, gender, race, and income), comorbid cocky-reported health conditions (cholesterol status, hypertension, diabetes, and BMI), as well as drinking, physical action and smoking status. Meet Table 1 for the variables operational definitions.

Frequencies and weighted percentages for demographics were obtained overall, and the prevalence of select cocky-reported health variables by subgroup. Multiple logistic regression using the proc survey logistic procedure was utilized to model the association betwixt the independent variables with CVD presence. Age-adjusted odds ratios and 95% conviction intervals were obtained. Historic period was a covariate in each model due to the strong clan between age and CVD. Data were weighted in order to clinch generalizability to the state of Nevada [9]. All analyses were conducted using SAS version nine.iv.

Results

Demographics

The Nevada BRFSS dataset included a full of 5,493 and 3,764 subjects in 2011 and 2017, respectively. From both years, gender was evenly divided between females and males. Age was categorized into four groups: 18–24 years erstwhile, 25–44 years erstwhile, 45–64 years sometime, and 65 years and older. Over a third of the subjects in 2011 and 2017 were 25–44 years old (38.5% and 35.4%, respectively), white and non-Hispanic (58% and 53.five%, respectively) and with an income above $50,000 (37.v% and 44.8% respectively) (Tabular array 2).

Gender and historic period vs. the cardiovascular gamble factors outcome

Gender and historic period group differences in reported cardiovascular risk factors for both years were examined. Betwixt males versus females, in that location were significant differences with the following: current smoker, hypertension, BMI, and CVD in 2011, which is similar in 2017 except cholesterol became significant between the genders (Tables two and iii). Specifically, between males and females, females tend to have higher risk factors reported in both years. Amongst the different age categories, at that place were significant differences between all the cardiovascular risk factors except for heavy drinkers in 2011 and 2017. Specifically, centre-aged (45–64 years old) reported more cardiovascular risk factors compared to the other historic period groups for both years. BMI (overweight and obese) remained the nearly prevalent CVD risk gene. The 2nd most common CVD risk factor was high cholesterol (37.3% and 33.1%, respectively), followed past hypertension (30.viii% and 32.6%, respectively). Among the CVD risk factors, heavy drinkers were the least mutual representing approximately 6% of the population. The cardiovascular adventure factor prevalence was like for both years when stratified by gender and age. Specifically, the prevalence was college in males versus females between ages xviii–64, except for diabetes. In 2011, more males reported diabetes, while in 2017, more females had diabetes. Additionally, diabetes was more prevalent in adults older than 65 and older than the remaining population. Lastly, in 2017, those 65 years and older exhibited an increase in all CVD hazard factors relative to 2011 (Table 3).

Relationships of modifiable and non-modifiable cardiovascular run a risk factors

Multiple logistic regressions were performed to examine the association of dissimilar demographic and take a chance factors with CVD presence in Nevada past twelvemonth. Adjusted odds ratios are reported. Compared to females, males were 1.64 times more likely to have reported CVD in 2011 [OR = 1.64 (1.xv, ii.33)], which increased to 1.92 in 2017 [OR = 1.92 (1.29, 2.85)]. As expected, the age group 18–64 years onetime, when compared with 65 years and older, were 83% less probable to have reported CVD in 2011 [OR = 0.17 (0.12, 0.25)], which dropped to 73% in 2017 [OR = 0.27(0.eighteen, 0.40)]. Among the different racial groups, Black not-Hispanics were 2.01 times more likely to have reported CVD in 2011 compared to White Not-Hispanic. Compared to Nevadans earning in the highest income level, those with an income level of less than $fifteen,000 were 2.25 times [OR = 2.25 (i.34, three.77)] and $xv,000–25,000 were two.06 times more likely [OR = two.06 (1.19, 3.56)] to have reported CVD in 2011. Moreover, those in the income level of $25,000–35,000 were 2.30 times more than likely to have reported CVD compared to those in the highest income level in 2017 [OR = 2.30 (1.nineteen,iv.42)] (S1 Table).

The study also examined the relationships of behavioral activities such as smoking, drinking alcohol, and physical activity. When adjusted for other gamble factors, self-reported physical activity level was not significantly associated with CVD for either twelvemonth. The relationship of heavy drinkers, when compared to non-heavy drinkers, changed from non-meaning in 2011 to 77% less likely to have reported CVD [OR = 0.23 (0.08, 0.62)] in 2017. Compared to non-smokers, everyday smokers were 1.96 times more likely in 2011 [OR = one.96 (1.16, 3.28)] and three.62 times more than likely in 2017 [OR = 3.62 (1.77, 7.44)] whereas former smokers were 2.12 times more likely in 2011 [OR = two.12 (1.26, 3.57)] and two.76 times more likely in 2017 [OR = 2.76 (i.76, iv.31)] to accept reported CVD (Table 4).

The relationships between comorbid illnesses and CVD in Nevada were likewise examined. Individuals with high cholesterol condition were two.67 times more probable to take reported CVD compared to those with normal levels [OR = 2.67 (1.75, 4.07)] in 2011. However, this relationship was attenuated and lost significance in 2017. In 2011 individuals with hypertension were 3.74 times more probable to take reported CVD compared to those who did not accept hypertension [OR = iii.74 (ii.42, 5.77)]. This relationship increased its magnitude of risk to 6.18 times more than likely in 2017 [OR = 6.18 (three.70, x.33)]. The increase in the relationship of hypertension with CVD other factors in the model in 2017. In 2011 individuals with diabetes were two.90 times more likely to have reported CHD or MI [OR = 2.90 (ane.81, iv.65)] compared to those without the condition. The forcefulness of this human relationship decreased to 1.89 more likely in 2017 [OR = 1.89 (i.eighteen, iii.05)]. Compared to average weight, those of elevated BMI levels did not demonstrate a significant increase of CVD; however, underweight individuals were 3.thirty times more likely to have reported CVD [OR = 3.xxx (1.29, viii.44)] in 2011. While in 2017 underweight individuals were 89% less likely to have reported CVD compared to those of average weight [OR = 0.11 (0.02, 0.55)]. Notably, hypertension was the leading cardiovascular run a risk factor when compared to cholesterol, diabetes, BMI, and age (Tabular array 5).

Discussion

The main aim of the study was to find the relationship betwixt different cardiovascular risk factors and CVD amid adult Nevadans in 2011 and 2017. Thus, the study provides an overview of how cardiovascular risk factors among this population has changed in 6 years. The report institute some predictable results every bit well as other interesting relationships and trends. As expected, males had higher odds of reporting CVD than females, and this increased between years. Interestingly, the literature besides demonstrated that adult males had a college risk of CVD compared to females; however, the gender gap closes equally females gets older [10, 11]. Similarly, the younger age group had less likelihood of reporting CVD in 2011, compared to the older age group. Although the younger age group however had less likelihood of reporting CVD in 2017, this percentage was less compared to 2011 indicating increased prevalence among the xviii–64 years age group. Andersson and Vasan's review indicated that CVD rates are increasing amidst younger adults, which could exist due to high prevalence of obesity and lack of do and nutritious food [12]. Equally this population grow older, the healthcare industry needs to be better prepared and educated to treat them. Among racial groups, as expected, Blackness Not-Hispanics were more probable to have reported CVD compared to White Non-Hispanics; all the same, at that place were no meaning racial differences in reported CVD in 2017. Because data collected were cross-sectional in nature, the population was different at these two-fourth dimension points. However, the random digit dialing methodology and weighting protocol for this survey assure that the findings are representative of the state for any given year. With more focus on reducing health disparity, this finding is a positive and expected event. Still, it will be interesting to come across if this trend continues in the time to come and if whatever preventive measures exist to reduce the burden of CVD in Nevada. At that place has been documented testify in the literature supporting the use of preventive measures to reduce CVD, which the AHA reports summarized [one, 13]. In 2011, lower income was associated with a higher odds of reporting CVD compared to a college income level. However, in 2017, Nevadans reporting less than $fifteen,000 annual income continued to take higher likelihood of reporting CVD with a slight increase in odds relative to 2011 and income grouping of $25–35,000 became significant in terms of increased hazard compared to $50,000 or college income level group. The increased odds in the everyman income level attenuated and were no longer significant in 2017. Overall, Nevadans with lower earnings had higher odds of self-reported CVD. This is consistent with the literature equally lower socioeconomic status is related to lack of access to quality health care, which in turn increases the likelihood of elevated CVD prevalence and higher hospital readmission rates [14, 15].

Forth with the relationship of different demographic factors, the study likewise looked at modifiable cardiovascular risk factors (behavioral and wellness conditions) in Nevada. In order to reduce bias, age was adjusted for in each model due to the potent and linear relationship between age and having a eye event. Amidst different behavioral factors, information technology is interesting to note that physical activeness was not significantly associated with CVD in both years. This could be explained by the limitations of self-report data instead of objective measurements. This is in contrast to current literature, which indicates that any kind of physical activeness is beneficial to cardiovascular health [16]. The non-pregnant relationship between heavy drinking and CVD was pregnant in 2017. In 2017, heavy drinkers were less probable to take reported CVD when compared to non-heavy drinkers. In this report, alcohol consumption demonstrated a slight protective effect on cardiovascular health. Research has indicated that booze shows a U-shaped relationship with CVD, indicating that depression or moderate drinking may be beneficial for cardiovascular health concerning abstinence or abusive drinking [17]. Protective characteristics of moderate booze drinking are associated with its blood-thinning properties, reduced inflammatory response and increased high-density lipoprotein [xviii]. Compared to non-smokers, regular smokers, and one-time smokers were at greater risk. This chance was higher for everyday smokers and the odds increased in 2017 for both of these groups. These data did not provide further caption on who the former smokers were and when they had the heart event; therefore, temporality could non be established. Former smokers may have experienced the heart effect prior to quitting. Smoking continues to remain one of the modifiable take chances factors of CVD although at that place has been significant improvement in preventive measures to reduce CVD and smoking cessation programs [xix]. Although smoking utilise in Nevada continues to decline, there is still initiatives to prevent secondhand exposure as evident by continuous funding from CDC to forbid and command smoking [20].

Among different health weather condition that were examined, hypertension had the most substantial relationship to self-reported CVD. This relationship increased from 3-fold in 2011 to over 6-fold risk in 2017, causing the other comorbidities to attenuate or become insignificant. Nevadans with diabetes were at greater take a chance for both years. Nevadans with elevated cholesterol status had higher odds of reporting CVD in 2011, yet this relationship was not significant in 2017. This could be due to the dominating human relationship of hypertension with the result. This is in back up of the literature as hypertension is one of the pregnant documented cardiovascular take a chance factors in the literature, along with obesity [21, 22]. Information technology is of import to note that hypertension rates will increase partially due to the new blood pressure classification guidelines implemented for tighter blood pressure control [four]. There has been lot of research indicating that obesity is one of the modifiable risk factors of CVD [1]. However, in our study obesity was non a significant predictor of CVD. There have been studies to back up that the risk of CVD associated with obesity is mainly due to comorbid weather condition [23, 24]. This is reflected in our findings where comorbid conditions such hypertension and diabetes are amend predictors of CVD. 1 of the interesting findings of this written report is that compared to normal weight, individuals who were underweight had reported higher odds of CVD in 2011 and lower risk in 2017. Further analyses are needed to empathize this interesting association. Withal, fewer research in underweight and CVD has shown contrasting findings. Research indicating increased CVD take chances with underweight take associated this risk with lack of proper nutritional status and those with lower CVD run a risk accept associated underweight with lower cholesterol and without comorbid conditions such every bit diabetes and hypertension [25, 26].

Limitations

This report is not without limitations. Start, this written report's cess and variables relied on self-report; therefore, misclassification is a possibility due to recall bias. We also lack objective measurements in physical activity, as well equally clinical markers such as fasting lipid panels, glucose, and claret pressure readings taken past a trained professional. Some other limitation is the lifetime prevalence of CVD, information technology is quite possible that participants have fabricated lifestyle changes post-heart events. This would explain some unexpected findings in the written report, such as the insignificant clan between physical activity and cardiovascular status. Thirdly, despite this written report being a population-based research design, it is cantankerous-sectional; therefore, the sample changed over time. However, using the BRFSS dataset provided a large sample size of over 9000 participants with a better representation of the land. Generalizability can be made considering of the BRFSS weighting and inclusion of random individuals that eliminate selection biases.

Implications and conclusions

To reduce CVD, public wellness and healthcare providers need to target preventable cardiovascular chance factors and develop recommendations and strategies. Currently, locally and nationally, strategies and efforts are in place to reduce the CVD brunt. This includes the AHA recommendations of the Life'due south Simple 7 (stop smoking, swallow better, become active, lose weight, manage claret pressure, control cholesterol, and reduce blood sugar) and Healthy People 2020 goals and objectives to increase overall cardiovascular wellness in the U.s.a. population which have achieved lilliputian success. Specifically, this study identified hypertension as the leading cardiovascular risk factor, which warrants a closer test of our current practice in clinical, research, and policy to reduce prevalence statewide and nationally. The long-term do good of addressing modifiable cardiovascular hazard factors such as hypertension before center health declines may be impactful, including improved quality of life every bit well as decreases in the economic brunt to the health intendance system. When it comes to preventable risk factors, master prevention should be a priority locally, nationally, and globally.

Supporting information

References

1. 1. Benjamin EJ, Muntner P, Bittencourt MS. Heart affliction and stroke statistics-2019 update: A written report from the american heart association. Circulation. 2019;139(10):e56–e528. pmid:30700139
   • View Commodity
   • PubMed/NCBI
   • Google Scholar
2. 2. Tran DT, Kupzyk KA, Zimmerman LM. Using cluster analysis to identify subgroups of college students at increased take a chance for cardiovascular affliction. J Nurs Meas. 2018;26(3):470–482. pmid:30593573
   • View Article
   • PubMed/NCBI
   • Google Scholar
3. 3. CDC. Know your take a chance for heart affliction. 2019. Available from: https://www.cdc.gov/heartdisease/risk_factors.htm
   • View Article
   • Google Scholar
4. 4. Whelton PK, Carey RM, Aronow WS, Casey DE Jr, Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: A written report of the american college of cardiology/american heart clan task strength on clinical practice guidelines. Circulation. 2017;00:e000.
   • View Article
   • Google Scholar
5. 5. National Heart, Lung, and Blood Constitute. The 7th report of the joint national committee on prevention, detection, evaluation, and handling of loftier blood force per unit area. NIH publication. 2004(04–5230).
   • View Article
   • Google Scholar
6. 6. He FJ, MacGregor GA. Upshot of modest common salt reduction on claret pressure: A meta-analysis of randomized trials. implications for public health. J Hum Hypertens. 2002;sixteen(eleven):761. pmid:12444537
   • View Article
   • PubMed/NCBI
   • Google Scholar
7. 7. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA: A Cancer Journal for Clinicians. 2017;67(1):7–30. https://onlinelibrary.wiley.com/doi/abs/ten.3322/caac.21387. pmid:28055103
   • View Article
   • PubMed/NCBI
   • Google Scholar
8. viii. Teramoto M, Moonie S, Cantankerous CL, Chino M, Alpert PT. Association of leisure-time physical activity to cardiovascular disease prevalence in relation to smoking amid adult nevadans. PloS one. 2015;10(five). pmid:26010914
   • View Article
   • PubMed/NCBI
   • Google Scholar
9. 9. CDC. Behavioral adventure factor surveillance system. 2019. Available from: https://world wide web.cdc.gov/brfss/
   • View Commodity
   • Google Scholar
10. 10. Dib JG, Alameddine Y, Geitany R, Afiouni F. National cholesterol education panel III functioning in preventing myocardial infarction in immature adults. Ann Saudi Med. 2008;28(i):22–27. pmid:18299654
    • View Article
    • PubMed/NCBI
    • Google Scholar
11. 11. Loria CM, Liu Thousand, Lewis CE, et al. Early adult gamble factor levels and subsequent coronary avenue calcification: The CARDIA study. J Am Coll Cardiol. 2007;49(xx):2013–2020. pmid:17512357
    • View Article
    • PubMed/NCBI
    • Google Scholar
12. 12. Andersson Charlotte, and Vasan Ramachandran S. "Epidemiology of cardiovascular disease in young individuals." Nature Reviews Cardiology. 2018;fifteen(iv):230. pmid:29022571
    • View Article
    • PubMed/NCBI
    • Google Scholar
13. xiii. Goff DC Jr, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular adventure: A report of the american college of cardiology/american heart association task strength on practice guidelines. Circulation. 2014;129(25 Suppl ii):49.
    • View Commodity
    • Google Scholar
14. 14. Parikh PB, Yang J, Leigh S, et al. The impact of financial barriers on access to care, quality of intendance and vascular morbidity amid patients with diabetes and coronary center disease. Periodical of general internal medicine. 2014;29(i):76–81. pmid:24078406
    • View Article
    • PubMed/NCBI
    • Google Scholar
15. 15. Schultz WM, Kelli HM, Lisko JC, et al. Socioeconomic status and cardiovascular outcomes: Challenges and interventions. Circulation. 2018;137(20):2166–2178. pmid:29760227
    • View Commodity
    • PubMed/NCBI
    • Google Scholar
16. 16. Lavie C. J., Ozemek C., Carbone South., Katzmarzyk P. T., & Blair S. Northward. Sedentary beliefs, exercise, and cardiovascular health. Circulation research. 2019;124(5):799–815. pmid:30817262
    • View Commodity
    • PubMed/NCBI
    • Google Scholar
17. 17. Chiva-Flinch G, Badimon 50. Benefits and risks of moderate alcohol consumption on cardiovascular illness: Current findings and controversies. Nutrients. 2020;12(ane):108.
    • View Article
    • Google Scholar
18. 18. Piano MR. Booze's effects on the cardiovascular system. Alcohol research: current reviews. 2017;38(two):219. pmid:28988575
    • View Article
    • PubMed/NCBI
    • Google Scholar
19. 19. Burke G. M., Genuardi M., Shappell H., D'Agostino Sr, R. B., & Magnani J. W. Temporal associations between smoking and cardiovascular disease, 1971 to 2006 (from the Framingham Heart Study). The American journal of cardiology. 2017;120(10):1787–1791. pmid:28865894
    • View Article
    • PubMed/NCBI
    • Google Scholar
20. 20. CDC. Smoking & Tobacco Utilize–Extinguishing the Tobacco Epidemic in Nevada. 2020. Bachelor from: https://world wide web.cdc.gov/tobacco/most/osh/state-fact-sheets/nevada/alphabetize.html
    • View Article
    • Google Scholar
21. 21. James PA, Oparil Due south, Carter BL, et al. 2014 evidence-based guideline for the management of loftier blood pressure in adults: Report from the console members appointed to the eighth joint national commission (JNC 8). JAMA. 2014;311(5):507–520. pmid:24352797
    • View Article
    • PubMed/NCBI
    • Google Scholar
22. 22. Mancia Yard, Fagard R, Narkiewicz K, et al. 2013 ESH/ESC guidelines for the management of arterial hypertension: The task force for the management of arterial hypertension of the european society of hypertension (ESH) and of the european society of cardiology (ESC). Blood Press. 2013;22(4):193–278. pmid:23777479
    • View Article
    • PubMed/NCBI
    • Google Scholar
23. 23. Lu Y, Hajifathalian K, Ezzati M, et al. Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects). Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart affliction and stroke: a pooled analysis of 97 prospective cohorts with 1.eight million participants. Lancet.2014;383:970–83. pmid:24269108
    • View Article
    • PubMed/NCBI
    • Google Scholar
24. 24. Wormser D, Kaptoge S, Di Angelantonio E, et al. Emerging Risk Factors Collaboration. Divide and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet.2011;377:1085–95 pmid:21397319
    • View Article
    • PubMed/NCBI
    • Google Scholar
25. 25. Park D, Lee JH, Han Southward. Underweight: another risk factor for cardiovascular disease?: a cross-sectional 2013 Behavioral Chance Factor Surveillance System (BRFSS) study of 491,773 individuals in the USA. Medicine.2017;96(48). pmid:29310352
    • View Article
    • PubMed/NCBI
    • Google Scholar
26. 26. Loprinzi PD, Crespo CJ, Andersen RE, Smit E. Association of body mass index with cardiovascular disease biomarkers. American Periodical of Preventive Medicine.2015.48(3):338–44. pmid:25442230
    • View Commodity
    • PubMed/NCBI
    • Google Scholar

johnsonwhorned.blogspot.com

Source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247105

Share this post