scholarly journals Changes in Cardiovascular Risk Factors and Cardiovascular Events in the Elderly Population

2021 ◽  
Author(s):  
Pil‐Sung Yang ◽  
Eunsun Jang ◽  
Hee Tae Yu ◽  
Tae‐Hoon Kim ◽  
Hui‐Nam Pak ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Total Cholesterol ◽  
Cardiovascular Risk Factors ◽  
Lower Risk ◽  
Elderly Population ◽  
The Elderly ◽  
Very Elderly ◽  
All Cause Mortality

Background This study examines changes in the ideal cardiovascular health (CVH) status and whether these changes are associated with incident cardiovascular disease (CVD) and mortality in the elderly Asian population. Methods and Results In the Korea National Health Insurance Service–Senior cohort aged ≥60 years, 208 673 participants without prior CVD, including 109 431 who showed changes in CVH status, were assessed. The association of the changes in cardiovascular risk factors with incident CVD was assessed from 2004 to 2014 in the elderly (aged 60–74 years) and very elderly (≥75 years) groups. During the follow‐up period (7.1 years for CVD and 7.2 years for mortality), 19 429 incident CVD events and 24 225 deaths occurred. In both the elderly and very elderly participants, higher CVH status resulted in a lower risk of CVD and mortality. In the very elderly participants, compared with consistently low CVH, consistently high CVH (subhazard ratio, 0.41; 95% CI, 0.23–0.73) was associated with a lower risk of CVD. This trend was consistently observed in the elderly population. In the very elderly participants, total cholesterol level was not informative enough for the prediction of CVD events. In both the elderly and very elderly groups, body mass index and total cholesterol were not informative enough for the prediction of all‐cause mortality. Conclusions In both the elderly and very elderly Asian populations without CVD, a consistent relationship was observed between the improvement of a composite metric of CVH and the reduced risk of CVD. Body mass index and total cholesterol were not informative enough for the prediction of all‐cause mortality in both the elderly and very elderly groups.

Prevalence of Cardiovascular Risk Factors in the Elderly Population of Alentejo

2020 ◽  
pp. 185-195
Author(s):  
Maria do Céu Mendes Pinto Marques ◽  
Ana Filipa Pereira Vaz ◽  
Ana Sofia Emídio Cardoso Leite ◽  
Cláudia Sofia Araújo ◽  
Cláudia Roque Condeço ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Elderly Population ◽  
Research Question ◽  
National Level ◽  
The Elderly ◽  
Regional Level ◽  
Age Group ◽  
Prevalence Studies

The objective of this chapter is to identify cardiovascular risk factors in the elderly and their prevalence in the elderly population of Alentejo. The research question was elaborated according to the PI[C]OD methodology. The prevalence studies included allow the authors to identify the risk factors with the greatest impact on cardiovascular diseases, with the analysis of at least one of the factors (hypertension, diabetes, smoking, obesity, hypercholesterolemia, alcoholism, and sedentary lifestyle) and their prevalence in the elderly from the region of Alentejo. The results present the prevalence of cardiovascular risk factors, mainly at the national level, compared to those at the regional level, with a small number of exclusive studies in the Alentejo region, while simultaneously disaggregating the results by age group. From the data obtained, it can be concluded that the prevalence of risk factors is generally increased in the elderly population and, consequently, in Alentejo, because it is a region in the interior of the country that is predominantly rural and very old.

OS 10-01 PREVALENCE OF CAROTID PLAQUE AND ROLE OF CARDIOVASCULAR RISK FACTORS IN A VERY ELDERLY POPULATION

2016 ◽  
Vol 34 (Supplement 1) ◽  
pp. e72 ◽  
Author(s):  
Francesco Spannella ◽  
Federico Giulietti ◽  
Silvia Buscarini ◽  
Piero Giordano ◽  
Maddalena Ricci ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Carotid Plaque ◽  
Elderly Population ◽  
Very Elderly

Carotid atherosclerosis in a very elderly population: Role of ageing and other cardiovascular risk factors

2016 ◽  
Vol 252 ◽  
pp. e71-e72
Author(s):  
F. Spannella ◽  
F. Giulietti ◽  
G. Cocci ◽  
P. Giordano ◽  
M. Ricci ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Elderly Population ◽  
Carotid Atherosclerosis ◽  
Very Elderly

Haematocrit: Relationships with Blood Lipids, Blood Pressure and other Cardiovascular Risk Factors

1994 ◽  
Vol 72 (01) ◽  
pp. 058-064 ◽  
Author(s):  
Goya Wannamethee ◽  
A Gerald Shaper
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Alcohol Intake ◽  
Blood Lipids ◽  
The Other ◽  
The Relationship

SummaryThe relationship between haematocrit and cardiovascular risk factors, particularly blood pressure and blood lipids, has been examined in detail in a large prospective study of 7735 middle-aged men drawn from general practices in 24 British towns. The analyses are restricted to the 5494 men free of any evidence of ischaemic heart disease at screening.Smoking, body mass index, physical activity, alcohol intake and lung function (FEV1) were factors strongly associated with haematocrit levels independent of each other. Age showed a significant but small independent association with haematocrit. Non-manual workers had slightly higher haematocrit levels than manual workers; this difference increased considerably and became significant after adjustment for the other risk factors. Diabetics showed significantly lower levels of haematocrit than non-diabetics. In the univariate analysis, haematocrit was significantly associated with total serum protein (r = 0*18), cholesterol (r = 0.16), triglyceride (r = 0.15), diastolic blood pressure (r = 0.17) and heart rate (r = 0.14); all at p <0.0001. A weaker but significant association was seen with systolic blood pressure (r = 0.09, p <0.001). These relationships remained significant even after adjustment for age, smoking, body mass index, physical activity, alcohol intake, lung function, presence of diabetes, social class and for each of the other biological variables; the relationship with systolic blood pressure was considerably weakened. No association was seen with blood glucose and HDL-cholesterol. This study has shown significant associations between several lifestyle characteristics and the haematocrit and supports the findings of a significant relationship between the haematocrit and blood lipids and blood pressure. It emphasises the role of the haematocrit in assessing the risk of ischaemic heart disease and stroke in individuals, and the need to take haematocrit levels into account in determining the importance of other cardiovascular risk factors.

scholarly journals The role of physical activity on cardiovascular risk factors in adolescents

2010 ◽  
Vol 50 (4) ◽  
pp. 220
Author(s):  
Nadia Dwi Insani ◽  
Sukman Tulus Putra ◽  
Agus Firmansyah
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
High Activity ◽  
Blood Lipid ◽  
Waist To Hip Ratio ◽  
Activity Group

Background Cardiovascular diseases remain the leading cause of death worldwide. Atherosclerotic process increases rapidly during adolescence. Physical activity is considered important in this period to modify cardiovascular risk factors, thus preventing disease in the future.Objective To determine whether different physical activity status in adolescence can influence body mass index (BMBMI), waist-to-hip ratio, blood pressure (BP), and blood lipid profile.Methods This was a cross-sectional descriptive study, conducted from December 2009 to January 2010. Adolescents who fulfilled the study criteria were classified into high and low physical activity category. Further examination including body mass index, waist-to-hip ratio, blood pressure, and blood lipid profile were performed.Results Adolescents with high physical activity had higher, but statistically insignificant, BMBMI compared to adolescents in the P=0.493] and significantly lower waist-to-hip ratio [0.80 (range 0.73-0.9) vs.. 0.82 (range 0.7-0.9), P=0.019]. Difference in BP was not statistically significant between both groups [diastolic BP (70 (range 60-90) mmHg vs. 70 (range 60-90) mmHg, P=0.148; systolic BP 100 (range 90-130) mmHg vs. 100 (range 90-140) mmHg, P=0.228)]. Blood lipid examination in the high activity group showed significantly higher HDL cholesterol and lower triglyceride compared to the low activity group [HDL 59.8 (SD 11.8) mg/dL vs. 54.7 (SD 8.9) mg/dL; p=0.044; triglyceride: 60 (range 32-203) mmHg vs. 82 (range 37-198) mmHg, P=0.014]. Total and LDL cholesterol [total cholesterol 169.8 (SD 28.6) mmHg vs. 181.2 (SD 30.8) mmHg, P=0.107; LDL 103.6 (SD 26.8) mmHg vs. 114.1 (SD 27.3) mmHg, P=0.100] were lower in the high activity group but not statistically different in both groups.Conclusions Adolescents with high physical activity show less cardiovascular risk factors compared to those in the low physical activity group.

Long-term effects (>24 months) of multiple lifestyle intervention on major cardiovascular risk factors among high risk subjects: a meta-analysis

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
H Bergum ◽  
I Sandven ◽  
TO Klemsdal
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Systolic Blood Pressure ◽  
Total Cholesterol ◽  
Cardiovascular Risk Factors ◽  
Lifestyle Intervention ◽  
Small Study ◽  
Long Term Effects

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The Norwegian health department Background The evidence of the long-term effects of multiple lifestyle intervention on cardiovascular risk is uncertain. We aimed to summarize the evidence from randomized clinical trials examining the efficacy of lifestyle intervention on major cardiovascular risk factors in subjects at high cardiovascular risk. Methods  Eligible trials investigated the impact of lifestyle intervention versus usual care with minimum 24 months follow-up, reporting more than one major cardiovascular risk factor. A literature search updated April 15, 2020 identified 12 eligible studies. The results from individual trials were combined using fixed and random effect models, using the standardized mean difference (SMD) to estimate effect sizes. Small-study effect was evaluated, and heterogeneity between studies examined by subgroup and meta-regression analyses considering patient- and study-level variables. Results  Small-study effect was not identified. Lifestyle intervention reduced systolic blood pressure modestly with an estimated SMD of -0.13, 95% confidence interval (CI): -0.21 to -0.04, with moderate heterogeneity (I² = 59%), corresponding to a mean difference of approximately 2 mmHg (MD = -1.86, 95% CI: -3.14 to -0.57, p = 0.0046). This effect disappeared in the subgroup of trials judged at low risk of bias (SMD = 0.02, 95% CI: -0.08 to 0.11). For the outcome total cholesterol SMD was -0.06, 95% CI: -0.13 to 0.00, with no heterogeneity (I² = 0%), indicating no effect of the intervention. Conclusion  Lifestyle intervention resulted in only a modest effect on systolic blood pressure and no effect on total cholesterol after 24 months. Further lifestyle trials should consider the challenge of maintaining larger long-term benefits to ensure impact on cardiovascular outcomes.

Abstract 13944: J Relationship of Body Mass Index of 22-year Cardiovascular Disease Mortality versus Body Mass Index

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
William J Kostis ◽  
Javier Cabrera ◽  
Fei Wang ◽  
Sara J Guterl ◽  
Dhammika Amaratunga ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Systolic Hypertension ◽  
Female Gender ◽  
The Elderly ◽  
Linear Term ◽  
Quadratic Term ◽  
All Cause Mortality ◽  
Cv Disease

Introduction: J relationships of body mass index (BMI) with mortality have been described. However, little data are available on long-term follow-up in controlled clinical trials with respect to cardiovascular (CV) and all cause mortality. Hypothesis: We tested whether there is a J shape relationship between BMI with CV and all cause mortality at 22 years in the Systolic Hypertension in the Elderly Program (SHEP). Methods: SHEP was a placebo controlled, randomized clinical trial of antihypertensive therapy in patients with isolated systolic hypertension aged 60 and older. The relationship between CV and all cause mortality with baseline BMI was examined in 4,211 SHEP participants. Results: In unadjusted analyses, a J relationship was observed for all-cause mortality (linear term p=0.0318, quadratic term p=0.3217 and tricubic term p=0.0046) and for CV mortality (linear term p=0.0962, quadratic term p=0.6866 and tricubic term p=0.0908, left figure). The lowest risk was at a BMI of 25.9 for all-cause and 25.5 for CV mortality. The J shaped relationship between BMI and mortality was attenuated after adjustment for age, gender, comorbidities (e.g. diabetes, heart failure) and risk factors for CV disease (e.g. smoking and dyslipidemia, right figure). Age and gender were significant predictors of both all- cause and CV mortality: age p<0.0001, female gender p=0.0063 for all-cause mortality and p<0.0001 for age and p=0.0004 for female gender for CV mortality. <br/Conclusions: This study indicates that both very low and very high BMI are markers of high risk. The J relationship between BMI and mortality is mediated by age, female gender, comorbidities and risk factors for CV disease.

A comparison of body mass index and percent body fat as predictors of cardiovascular risk factors

2019 ◽  
Vol 13 (1) ◽  
pp. 570-575 ◽  
Author(s):  
Hosein Sheibani ◽  
Habibollah Esmaeili ◽  
Maryam Tayefi ◽  
Maryam Saberi-Karimian ◽  
Susan Darroudi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Body Mass ◽  
Body Fat ◽  
Percent Body Fat
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