Abstract MP31: Diurnal Patterns of Physical Activity and Cardiovascular Risk Factors Over 10 Years: Results From the Coronary Artery Risk Development in Young Adults Study

Circulation ◽  
2019 ◽  
Vol 139 (Suppl_1) ◽  
Author(s):  
Amanda E Paluch ◽  
Kelley Pettee Gabriel ◽  
Samantha Montag ◽  
Juned Siddique ◽  
Pamela Schreiner ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Young Adults ◽  
Cardiovascular Risk ◽  
Coronary Artery ◽  
Cardiovascular Risk Factors ◽  
Diurnal Patterns

Association of Habitual Physical Activity With Cardiovascular Risk Factors and Target Organ Damage in Adolescents and Young Adults

2018 ◽  
Vol 15 (3) ◽  
pp. 176-182 ◽  
Author(s):  
Samuel G. Wittekind ◽  
Nicholas M. Edwards ◽  
Philip R. Khoury ◽  
Connie E. McCoy ◽  
Lawrence M. Dolan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Young Adults ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Target Organ Damage ◽  
Organ Damage ◽  
Target Organ ◽  
Habitual Physical Activity ◽  
Adolescents And Young Adults

scholarly journals Prevalence of coronary artery calcification in young adults in UK

2021 ◽  
Vol 22 (Supplement_3) ◽  
Author(s):  
G Koulaouzidis
Keyword(s):  
Risk Factors ◽  
Computed Tomography ◽  
Young Adults ◽  
Cardiovascular Risk ◽  
Coronary Artery ◽  
Cardiovascular Risk Factors ◽  
Coronary Artery Calcification ◽  
Subclinical Atherosclerosis ◽  
Study Cohort ◽  
History Of

Abstract Funding Acknowledgements Type of funding sources: None. Background Coronary atherosclerosis is a continuous process beginning early in life, with a long and clinically asymptomatic phase, before manifestations appear in middle and/or late adulthood. Coronary artery calcification (CAC) is a well-established marker of atherosclerosis; but the clinical validity of CAC in young adults (traditionally considered as a population group of low cardiovascular risk) remains unclear. Aim We aimed to assess the prevalence of CAC in a population of young individuals without previous history of coronary artery disease (CAD) in the UK and its association with conventional cardiovascular risk factors. Methods This analysis includes 4186 asymptomatic young individuals who underwent electron beam computed tomography (EBCT). Demographic information and the presence of cardiovascular risk factors were abstracted from referral letters and/or questionnaires completed by the patients prior to their tests. Individuals with previously documented CAD or chronic kidney disease were excluded. All EBCT CAC studies were performed using the same scanner (Imatron C300 Ultrafast computed tomography scanner, GE Healthcare, London, UK) and the same scanning protocol. Results The age (mean SD) of the study cohort was 40.5 ±3.6 years (range 26–45 years, 83.8% males). Hypertension, dyslipidemia, and diabetes mellitus (DM) were present in 15.5, 7.9, and 2.8% of individuals, respectively. Family history of premature CAD was present in 17% and 17.4% were smokers.  CAC was present in 21.8% of the cohort, while individuals with CAC comparing with those with CAC score 0 were males (95.2 vs. 80%, p < 0.002), older in age (41.4 3.2 vs. 40.3 3.7 years, p < 0.0001), with DM (5.5 vs. 25%, p < 0.0001), hypertension (22 vs. 13.7%, p < 0.0001), and dyslipidemia (14.8 vs. 6%, p < 0.0001). The prevalence of CAC score 0, 1–100, 101–400, 401–1000, >1000 were 78.2, 19, 2.1, 0.5, and 0.2%, respectively. The prevalence and distribution of CAC among various age groups are shown in Table 1. CAC was found in 24.8% of males (CAC score 1–100, 101–400, 400–1000, >1000 in 21.6, 2.5, 0.5, and 0.1%, respectively) and 6.6% of females (CAC score 1–100, 101–400, 400–1000, >1000 in 5.4, 0.6, 0.15 and 0.4%, respectively) (p < 0.0001). There was no statistical difference of mean CAC score between genders (males 13.8 72.7; females 11.8 142.4; p = 0.6). In multivariate analysis, the presence of CAC was associated with age (p< 0.0001), male gender (p< 0.0001), DM (p< 0.0001), hypertension (p< 0.0001), and dyslipidemia (p< 0.0001).  Conclusion   In a large cohort of asymptomatic young individuals, subclinical atherosclerosis (CAC score >0) was identified in approximately 20%. Assessment of CAC score is a useful clinical tool in young individuals, as it can confirm the presence of subclinical atherosclerosis.

Vigorous physical activity and cardiovascular risk factors in young adults

1986 ◽  
Vol 39 (2) ◽  
pp. 115-120 ◽  
Author(s):  
James F. Sallis ◽  
William L. Haskell ◽  
Peter D. Wood ◽  
Stephen P. Fortmann ◽  
Karen M. Vranizan
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Young Adults ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Vigorous Physical Activity

Abstract P171: Hemoglobin A1c and Incident Albuminuria Among Individuals Without Diabetes: The Coronary Artery Risk Development in Young Adults (CARDIA) Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
April P Carson ◽  
Paul Muntner ◽  
Mercedes R Carnethon ◽  
Myron D Gross ◽  
Cora E Lewis
Keyword(s):  
Risk Factors ◽  
Young Adults ◽  
Cardiovascular Risk ◽  
Coronary Artery ◽  
Cardiovascular Risk Factors ◽  
Hemoglobin A1c ◽  
The United States ◽  
Continuous Variable ◽  
Urine Albumin ◽  
Increased Risk

Background: Higher hemoglobin A1c (HbA1c) has been associated with an increased risk of reduced estimated glomerular filtration rate <60 mls/min/1.73m2 among individuals without diabetes. However, it is unclear whether higher HbA1c in the non-diabetic glycemic range also is associated with an increased risk of albuminuria. This study investigated the association of HbA1c with incident albuminuria in a biracial cohort of middle-aged men and women without a history of diabetes in the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Methods: The CARDIA Study is a prospective cohort study of 5,115 African-American and white adults, age 18-30 years at baseline (1985-86), from four field centers in the United States: Birmingham, AL; Chicago, IL; Minneapolis, MN; and Oakland, CA. Participants with prevalent diabetes (defined as fasting glucose ≥126 mg/dL, 2-hour post-challenge glucose ≥ 200 mg/dL, HbA1c ≥ 6.5%, or used diabetes medications) or albuminuria (defined as a race- and sex-adjusted urine albumin-to-creatinine ratio ≥ 25 mg/g) at the year 20 examination (2005-06; baseline for this analysis) were excluded. This study included 2174 participants who had HbA1c measured at the year 20 examination and had urine albumin and creatinine measured at the year 25 examination (2010-11). Poisson regression with robust error variances was used to obtain risk ratios (RR) and 95% confidence intervals (CI) for the association of HbA1c, both as a continuous variable and dichotomous variable using its prediabetes cut-point, with albuminuria in unadjusted models and models adjusted for socio-demographics and cardiovascular risk factors. Results: During the follow-up period, 103 (4.7%) participants developed incident albuminuria. In unadjusted analyses, each 1% increase in HbA1c was associated with incident albuminuria (RR=2.55, 95% CI=1.48, 4.39). This association was attenuated and not statistically significant after adjustment for age, race, sex, and education (RR=1.68, 95% CI=0.98, 2.88) and further adjustment for cardiovascular risk factors (RR=1.42, 95% CI=0.81, 2.50). Additionally, individuals with HbA1c in the prediabetes range (5.7%-6.4%) had an increased risk of albuminuria (RR=1.59, 95% CI=1.04, 2.43) compared with those with HbA1c in the normal glycemic range (<5.7%) in the unadjusted model. However, this association was attenuated after adjustment for socio-demographics (RR=1.11, 95% CI=0.71, 1.72) and cardiovascular risk factors (RR=0.98, 95% CI=0.61, 1.55). Conclusions: After taking into account socio-demographics and traditional cardiovascular risk factors, HbA1c was not associated with incident albuminuria among individuals without diabetes.

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.

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