scholarly journals Habitual physical activity is not associated with lower cardiovascular risk profile or higher aerobic fitness

2020 ◽  
pp. 1-6
Author(s):  
Denis Fabrício Valério ◽  
Arthur Fernandes Gáspari ◽  
Giovana Vergínea de Souza ◽  
Cleiton Augusto Libardi ◽  
Claudia Regina Cavaglieri ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Aerobic Fitness ◽  
Physical Inactivity ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Risk Profile ◽  
Cardiovascular Risk Profile ◽  
Vo2 Max

Introduction: Physical inactivity is considered as one of the factors to increase the risk of developing cardiovascular diseases (CVDs) and decrease aerobic fitness mainly in middle-age. Increased habitual physical activity (HPA) is one of the strategies recommended to reduce physical inactivity. However, it is not known whether middle-age individuals who exclusively perform greater amount of HPA have greater aerobic fitness and / or a lower risk of CVDs. Objective: Verify the association between HPA with the risk of CVDs and aerobic fitness in individuals who only perform HPA. Method: We selected 89 male volunteers, age: 47.4 ± 5.06 years, who did not practice systemized physical training. Our measurements were: HPA by the International Physical Activity Questionnaire and Baecke questionnaires, the aerobic fitness by direct assessment of maximal oxygen consumption (VO2 máx) and the risk of developing cardiovascular disease by the score calculation of General Cardiovascular Risk Profile from Framingham Study. Results: There was no correlation of the HPA level with cardiovascular risk factors, general cardiovascular disease risk and VO2 máx. Moreover, no difference was found between the categorical groups of the IPAQ questionnaire and between the groups, “clusters”, calculated from the Baecke questionnaire scores for the variables of cardiovascular risk, general cardiovascular disease risk and VO2 máx. Conclusion: This study have found that the HPA level of middle-aged men is not associated with lower cardiovascular risk profile or higher aerobic fitness, suggesting that only increase HPA may not be enough to promote beneficial adaptations in aerobic fitness and improve risk profile for CVDs. These results may be related to low volume and intensity of HPA, which reinforces the importance of performing physical training with control of these variables for health promotion.

scholarly journals Physical Activity and Cardiovascular Disease Risk Profile in Women

1997 ◽  
Vol 146 (4) ◽  
pp. 322-328 ◽  
Author(s):  
M. A. Pols ◽  
P. H. M. Peeters ◽  
J. W. R. Twisk ◽  
H. C. G. Kemper ◽  
D. E. Grobbee
Keyword(s):  
Physical Activity ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Risk Profile

The Effectiveness of a General-Practice-Based Physical Activity Intervention on Patient Physical Activity Status

1994 ◽  
Vol 11 (3) ◽  
pp. 132-144 ◽  
Author(s):  
Peita Graham-Clarke ◽  
Brian Oldenburg
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
General Practice ◽  
Risk Factor ◽  
Clinical Setting ◽  
Physical Inactivity ◽  
Physical Activity Intervention ◽  
Disease Risk ◽  
Cardiovascular Disease Risk

Physical inactivity is a risk factor for a number of chronic diseases, including cardiovascular disease. Interventions designed to reduce the prevalence of physical inactivity have focused primarily on either adoption of physical activity or noncompliance and relapse, and no interventions have been reported which cover adoption, compliance, maintenance, and relapse, particularly within the clinical setting. TheFresh Startprogram, a multiple risk factor intervention program for the reduction of cardiovascular disease risk factors in general practice patients, was developed to cover all aspects of the adoption and maintenance of habitual physical activity, using Prochaska and DiClemente's Transtheoretical model. The evaluation of the program on cardiovascular disease risk factors and behaviours provided the opportunity to evaluate the impact of a staged program on patient physical activity behaviour. The program was evaluated in a randomised controlled trial in Sydney's Western, South-western, and Wentworth regions with 80 volunteer general practitioners and 758 volunteer patients between January 1991 and January 1993. Self-reported physical activity data were used as the basis for estimating energy expenditure due to leisure-time physical activity. The results failed to show any differences between groups over time, as a function of patients' baseline stages of change, and as a function of baseline activity levels. There were some indications, however, that the least active would respond to doctor-based advice to increase their physical activity, and that doctor advice would lead to a progression inintention to changein approximately 20% of patients. Limitations of the study, the program, and physical activity intervention in the clinical setting are discussed.

scholarly journals Cardiovascular Disease Risk Factors: How Relevant in African Men With Prostate Cancer Receiving Androgen-Deprivation Therapy?

2017 ◽  
Vol 3 (1) ◽  
pp. 7-14
Author(s):  
Okon Ekwere Essien ◽  
Iya Eze Bassey ◽  
Rebecca Mtaku Gali ◽  
Alphonsus Ekpe Udoh ◽  
Uwem Okon Akpan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Waist Circumference ◽  
Total Cholesterol ◽  
Ldl Cholesterol ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Treatment Naïve

Purpose Cardiovascular disease risk factors have been associated with androgen-deprivation therapy (ADT) in white and Hispanic populations. It is therefore relevant to determine if there exists a relationship between these parameters in the African population. Patients and Methods The design of the study was cross sectional. Prostate-specific antigen concentration, waist circumference, body mass index (BMI), lipid profile, glucose level, and insulin level were determined in 153 patients with prostate cancer and 80 controls. The patients with prostate cancer were divided into subgroups of treatment-naïve patients and those receiving ADT. Results Mean total cholesterol ( P = .010), LDL cholesterol ( P = .021), BMI ( P = .001), and waist circumference ( P = .029) values were significantly higher in patients treated with ADT when compared with treatment-naïve patients. In patients treated with ADT for up to 1 year, only mean BMI was significantly higher than in treatment-naïve patients, whereas those treated with ADT for more than 1 year had significantly higher mean BMI, waist circumference, total cholesterol, and LDL cholesterol values when compared with treatment-naïve patients. There were no significant differences in insulin or glucose levels. Those undergoing hormone manipulation after orchiectomy had fewer cardiovascular risk factors compared with those undergoing hormone manipulation alone. Conclusion This study shows that ADT results in elevated total cholesterol, LDL cholesterol, BMI, and waist circumference values, all of which are risk factors of cardiovascular disease. Screening for cardiovascular risk factors should be included in treatment plans for patients with prostate cancer.

Abstract P375: Vascular Age Versus Calendar Age as Surrogate for Atherosclerotic Burden and Cardiovascular Disease Risk

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Sanne A Peters ◽  
Karlijn A Groenewegen ◽  
Hester M den Ruijter ◽  
Michiel L Bots
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Disease Risk ◽  
Meta Analysis ◽  
Cardiovascular Disease Risk ◽  
Intima Media Thickness ◽  
Chronological Age ◽  
Specific Reference ◽  
Communication Tool ◽  
Vascular Age

Background Vascular age is the chronological age of an individual adjusted by their level of atherosclerosis. Vascular age can be used as understandable communication tool towards patients. It has been proposed that carotid intima-media thickness (CIMT) could be used to estimate the vascular age in individuals. The issue on how to best estimate vascular age remains an unanswered question and was evaluated in this study. Methods Data were used from the USE-IMT study collaboration, a global individual patient data meta-analysis including 14 population-based cohorts contributing data for 45 828 individuals. We used two methods to define vascular age. First, vascular age was the age at which a participant’s CIMT value would be at the 50th percentile of the age-and sex specific reference values of the healthy USE-IMT subpopulation (VA50). Second, vascular age was the age at which the estimated cardiovascular risk equals the risk of the observed CIMT value (VArisk). Results Mean (+/- standard deviation [SD]) chronological age, VA50, and VArisk were 58 (9), 63 (19), and 59 (7) years, respectively. VArisk was 0.24 yrs higher in women and 1.5 yrs higher in men than chronological age whereas VA50 was 4.4 yrs higher in women and 5.8 yrs higher in men than chronological age. After adjustment for traditional cardiovascular risk factors, a SD increase in VA50 and VArisk was associated with a 15% (95% confidence interval [CI]: 1.12; 1.19) and 22% (95% CI: 1.17; 1.28) higher risk of cardiovascular disease. For comparison, a SD increase in mean common CIMT increased the risk of cardiovascular disease with 15% (95% CI: 1.12; 1.19). Conclusion We presented two distinct measures a vascular age: VA50, and VArisk. VA50 is a straightforward translation of CIMT and is a measure of the age at which the average person would be expected to have a certain CIMT. In contrast, VArisk incorporates information about expected cardiovascular risk and is the chronological age of a person that conveys the same risk as the CIMT. VA50 and VArisk might provide a convenient transformation of CIMT to a scale that is more easily understood by patients and clinicians.

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