scholarly journals Factor analysis for the clustering of cardiometabolic risk factors and sedentary behavior: a VGH-HEALTHCARE substudy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T.Y Tsai ◽  
S.S Lim ◽  
S.C Chan ◽  
Y.L Yang ◽  
P.F Hsu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Factor Analysis ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Validation Group ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Clustering Pattern

Abstract Background Few studies have reported the clustering pattern of new CVD risk factors including sedentary behavior, systemic inflammation and cadiometabolic components in the general population. Purpose We aimed to explore the clustering pattern of CVD risk factors using exploratory factor analysis to investigate the underlying relationships between various CVD risk factors Methods A total of 5606 subjects (3157 male, 51.5±11.7y/o) were enrolled and 14 cardiovascular risk factors including sedentary behaviors and physical inactivity were analyzed in exploratory group (n=3926). The established model was validated with the validation group (n=1676). Results Five factor clusters had been identified to explained 69.4% of total variance, including adiposity (BMI, TG, HDL, UA, and HsCRP 21.3%), lipid, (Total cholesterol, and LDL-cholesterol 14.0%), blood pressure (SBP & DBP 13.3%), glucose (HbA1C, fasting glucose 12.9%) and sedentary behavior (MET per week and sitting time per day 8.0%), respectively. HsCRP was clustered with adiposity factors, not other cardiometabolic risk factors. This clustering pattern was verified in the validation group. Conclusion Our current study confirmed the clustering structure of cardiometabolic risk factors including sedentary behavior in general population. hsCRP was clustered with adiposity factors while physical inactivity and sedentary behavior were clustered with each other. Funding Acknowledgement Type of funding source: None

scholarly journals Factor analysis for the clustering of cardiometabolic risk factors and sedentary behavior, a cross-sectional study

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242365
Author(s):  
Tsung-Ying Tsai ◽  
Pai-Feng Hsu ◽  
Chung-Chi Lin ◽  
Yuan-Jen Wang ◽  
Yaw-Zon Ding ◽  
...  
Keyword(s):  
Risk Factors ◽  
Factor Analysis ◽  
General Population ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Validation Group ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Clustering Pattern

Background Few studies have reported on the clustering pattern of CVD risk factors, including sedentary behavior, systemic inflammation, and cadiometabolic components in the general population. Objective We aimed to explore the clustering pattern of CVD risk factors using exploratory factor analysis to investigate the underlying relationships between various CVD risk factors. Methods A total of 5606 subjects (3157 male, 51.5±11.7 y/o) were enrolled, and 14 cardiovascular risk factors were analyzed in an exploratory group (n = 3926) and a validation group (n = 1676), including sedentary behaviors. Results Five factor clusters were identified to explain 69.4% of the total variance, including adiposity (BMI, TG, HDL, UA, and HsCRP; 21.3%), lipids (total cholesterol and LDL-cholesterol; 14.0%), blood pressure (SBP and DBP; 13.3%), glucose (HbA1C, fasting glucose; 12.9%), and sedentary behavior (MET and sitting time; 8.0%). The inflammation biomarker HsCRP was clustered with only adiposity factors and not with other cardiometabolic risk factors, and the clustering pattern was verified in the validation group. Conclusion This study confirmed the clustering structure of cardiometabolic risk factors in the general population, including sedentary behavior. HsCRP was clustered with adiposity factors, while physical inactivity and sedentary behavior were clustered with each other.

Abstract 012: Psoriasis is Associated With Atherogenic Lipoprotein Particle Concentration and Size Independent of Cardiometabolic Risk Factors

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Ron C Li ◽  
Parasuram Krishnamoorthy ◽  
YiDing Yu ◽  
Jules Antigua ◽  
Anna Raper ◽  
...  
Keyword(s):  
Risk Factors ◽  
Particle Concentration ◽  
Cardiometabolic Risk ◽  
Traditional Risk Factor ◽  
Cardiometabolic Risk Factors ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Atherogenic Lipoprotein ◽  
Lipoprotein Particle ◽  
Increased Risk

Introduction: Psoriasis is a chronic inflammatory skin disease associated with increased risk of cardiovascular disease (CVD). We have previously shown that psoriasis is associated with atherogenic lipoprotein particle concentration and size. However, it is unknown whether this association is independent of traditional CVD risk factors or insulin resistance (IR). Methods: We prospectively enrolled a consecutive sample of patients with psoriasis (n=122) and compared cardiometabolic risk factors with an asymptomatic sample without psoriasis from our practice (n=129). Fasting lipids, insulin, glucose were measured by standard assays, and lipoprotein concentration and size were measured by nuclear magnetic resonance (NMR) (LipoScience, North Carolina). HOMA-IR, an estimation of IR, was calculated by standard methods. Multivariable linear regression for adjusted models was performed using STATA12 software. Results: LDL-C and HDL-C were lower in psoriasis compared to controls [106.9 mg/dL (90-132.5) vs 128 (110.2-145.6), p<0.01 and 43 mg/dL (36-58) vs 50 (42-62), p<0.01] with no difference in triglycerides. However, NMR showed an atherogenic profile in psoriasis similar to that observed in diabetes, with significant increase in LDL [1210.5 (1002-1498) vs 1115 (935-1291), p=0.03] particle concentration with a concomitant decrease in LDL size [20.6 (20.3-21.1) vs 21.3 (20.6-21.1), p<0.001] even after adjusting for obesity, tobacco use, hypertension, lipids, and HOMA-IR (p=0.001). An increase in VLDL particle concentration was also seen before [61.9 (38.3-95.3) vs 53.4 (30.4-84.5), p=0.05] and after adjusting for cardiometabolic risk factors (p=0.018). Conclusions: Despite normal lipids, we demonstrate a more atherogenic lipoprotein profile by NMR in psoriasis compared to healthy controls after adjustment for CVD risk factors and IR. These findings suggest that traditional risk factor analysis and lipid testing may not ideally capture the increased CVD risk observed in psoriasis.

Sedentary behavior moderates the relationship between physical activity and cardiometabolic risk in young Latino children

2021 ◽  
Author(s):  
Jamil A Malik ◽  
Jennifer Coto ◽  
Elizabeth R Pulgaron ◽  
Amber Daigre ◽  
Janine E Sanchez ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Sedentary Behavior ◽  
Low Income ◽  
Latent Variables ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Cardiometabolic Risk Factors ◽  
Metabolic Risk ◽  
Latino Children

Abstract This study investigated the role of objectively measured moderate–vigorous physical activity (MVPA) and sedentary behavior on cardiometabolic risk factors of young Latino children. We hypothesized that MVPA would be associated with lower cardiometabolic risk when sedentary behavior is low. We studied 86 primarily low-income, Latino children using a cross-sectional study design. The study sample consisted of 51 girls and 35 boys, with mean age 5.6 (SD = .53) years. Physical activity was measured by accelerometry, anthropometric measures obtained, and fasting blood samples were used to measure cardiometabolic risk factors. Greater levels of sedentary behavior were associated with increased waist circumference (rs = .24, p &lt; .05) and metabolic risks. MVPA, however, had significant beneficial associations with all cardiometabolic risk factors (rs-range = −.20 to −.45, p &lt; .05) with the exception of plasma insulin. MVPA predicted latent variables representing anthropometric risk (β = −.57, p &lt; .01), cardiac risk (β = −.74, p &lt; .01), and metabolic risk (β = −.88, p &lt; .01). Sedentary behavior significantly moderated the effect of MVPA on anthropometric (β-interaction = .49, p &lt; .01), cardiac (β-interaction = .45, p &lt; .01), and metabolic risk (β-interaction = .77, p &lt; .01), such that more MVPA was associated with better health outcomes under conditions of lower sedentary behavior. The model explained 13%, 22%, and 45% variance in anthropometric, cardiac, and metabolic risk factors, respectively. Increased MVPA is associated with decreased cardiometabolic risk in young Latino children, particularly when sedentary behavior is low.

Abstract P470: Heterogeneity In Prevalence Of Cardiovascular Disease Risk Factors Among Hispanic Ethnic Groups: Evidence From The 2010-2018 National Health Interview Survey

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Sabrina Elias ◽  
Ruth-alma N Turkson-ocran ◽  
Binu Koirala ◽  
Samuel Byiringiro ◽  
Hailey Miller ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Ethnic Groups ◽  
Physical Inactivity ◽  
High Cholesterol ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Current Smoking ◽  
Hispanic Adults ◽  
Ethnic Subgroups

Introduction: Persons of Hispanic origin are a growing share of the U.S. population but include diverse ethnic groups with unique cultures, lifestyles, exposures, and countries of origin. Hispanics are disproportionately affected by cardiovascular disease (CVD) risk factors in comparison to non-Hispanics. However, few studies have examined the heterogeneity in their burden of CVD risk. Hypothesis: We hypothesized that there would be significant heterogeneity in the prevalence of CVD risk factors among ethnic subgroups of Hispanic adults. Methods: We used a cross-sectional design to examine the prevalence of CVD risk factors, defined per national guidelines, among Hispanic adults in the 2010-2018 National Health Interview Surveys. Generalized linear models using Poisson distribution were fitted to obtain adjusted predicted probabilities and risk of self-reported hypertension, overweight/obesity, diabetes, high cholesterol, physical inactivity, and current smoking by Hispanic ethnic subgroup. Results: We included 185,511 participants with mean(±sd) age 31(0.2) years and 50% male. Most were Mexican (65.1%) whereas, few were Dominican (3.0%). Prevalence of hypertension (28.4%), diabetes (12.9%), high cholesterol (25.0%), and current smoking (6.1%) was highest among Puerto Ricans. Prevalence of overweight/obesity was highest among Mexicans (74.5%) and physical inactivity was highest among Dominicans (62.3%). Compared to Mexicans, Central Americans were less likely to smoke and have hypertension, overweight/obesity, and diabetes (ps<0.05). ( Table ) Conclusion: We observed striking heterogeneity in the prevalence of CVD risk factors across Hispanic ethnic subgroups, especially for diabetes, physical inactivity, and smoking. These results suggest that aggregating data on Hispanics may mask differences in CVD risk and hinder efforts to reduce health disparities in this population. Our findings provide actionable information on CVD risk factors for specific Hispanic ethnic subgroups.

Factor Analysis of Cardiometabolic Risk Factors Clustering in Children and Adolescents

2011 ◽  
Vol 9 (2) ◽  
pp. 151-156 ◽  
Author(s):  
Yousef S. Khader ◽  
Anwar Batieha ◽  
Hashim Jaddou ◽  
Zahi Batieha ◽  
Mohammed El-Khateeb ◽  
...  
Keyword(s):  
Risk Factors ◽  
Factor Analysis ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

scholarly journals Sitting Time and Cardiometabolic Risk Factors in African American Overweight Women

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Rebecca E. Lee ◽  
Scherezade K. Mama ◽  
Ygnacio Lopez III
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
African American ◽  
Sedentary Behavior ◽  
African American Women ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
Cardiometabolic Risk Factors ◽  
Sitting Time ◽  
Relationship Of

Findings from previous research linking sedentary time with cardiometabolic risk factors and body composition are inconsistent, and few studies address population groups most vulnerable to these compromising conditions. The purpose of this paper was to investigate the relationship of sitting time to cardiometabolic risk factors and body composition among African American women. A subsample of African American women (N=135) completed health and laboratory assessments, including measures of blood pressure, resting heart rate, cholesterol, triglycerides, glucose, body mass index, body fat, sitting time, and demographics. Simultaneous, adjusted regression models found a positive association between weekend sitting time and glucose and an inverse association between weekly sedentary time and cholesterol (ps<.05). There were no significant associations between sedentary behavior and body composition. The unexpected relationship between sedentary time and cholesterol suggests that the relationship of sedentary behavior to cardiometabolic risk factors may depend on existing characteristics of the population and measurement definition of sedentary behavior. Results suggest distinctly different relationships between weekend and weekday sitting time, implicating a need for careful measurement and intervention that reflects these differences.

scholarly journals The Effects of Different Exercise Modalities in the Treatment of Cardiometabolic Risk Factors in Obese Adolescents with Sedentary Behavior—A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Children ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 1062
Author(s):  
Daxin Li ◽  
Ping Chen
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
High Risk ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Cardiometabolic Risk Factors ◽  
Controlled Trials ◽  
Obese Adolescents ◽  
Randomized Controlled

Purpose: Obesity has become increasingly prevalent in adolescents due to unhealthy diet habits, sedentary behavior and a lack of physical activities. This study aims to assess the effects of different exercise modalities in the treatment of cardiometabolic risk factors (CRF) in obese adolescents with sedentary behavior. Methods: A systematic search was conducted using databases (PubMed, Embase, Cochrane library, Web of Science, CNKI and VIP database) from the earliest available date to August 2021. Nineteen randomized controlled trials (RCTs) with 704 participants were included. The included studies were evaluated for methodological quality by the Cochrane bias risk assessment tool, and a statistical analysis was performed by the Review Manage 5.3 and Stata 15.1 software. Results: The results of the meta-analysis showed that exercise could significantly improve obese adolescents’ body mass index (BMI) (MD = −1.99, 95% CI: −2.81 to −1.17, p < 0.00001), low density liptein cholesterol (LDL-C) (SMD = −0.98, 95% CI: −1.58 to −0.37, p = 0.002), triglyceride (TG) (SMD = −0.93, 95% CI: −1.72 to −0.14, p = 0.02), total cholesterol (TC) (SMD = −1.00, 95% CI: −1.73 to −0.26, p = 0.008), peak oxygen uptake (VO2peak) (MD = 3.27, 95% CI: 1.52 to 5.02, p = 0.0003) and homeostatic model assessment insulin resistance (HOMA-IR) (SMD = −2.07, 95% CI: −3.3 to −0.84, p = 0.001). However, there was no statistically significant difference in high-density liptein cholesterol (HDL-C) (SMD = 0.40, 95% CI: −0.28 to 1.08, p = 0.25). Conclusion: Exercise can effectively improve cardiometabolic risk factors in obese adolescents with sedentary behavior. For obese adolescents who want to lose weight and improve cardiorespiratory fitness, combined aerobic and resistance training and high-intensity interval training are optimal choices. For obese adolescents with high blood lipids, aerobic training can be regarded as a primary exercise modality to reduce the high risk of cardiovascular diseases; For obese adolescents with insulin resistance, combined aerobic and resistance training can be considered to reduce the high risk of diabetes. It is hoped that more high-quality studies will further expand the meta-analysis results and demonstrate the optimal exercise frequency and treatment intensity of cardiometabolic risk factors in obese adolescents with sedentary behavior in the future.

scholarly journals ApoB48-Lipoproteins Are Associated with Cardiometabolic Risk in Adolescents with and without Polycystic Ovary Syndrome

2020 ◽  
Vol 4 (8) ◽  
Author(s):  
Donna F Vine ◽  
Lawrence J Beilin ◽  
Sally Burrows ◽  
Rae-Chi Huang ◽  
Martha Hickey ◽  
...  
Keyword(s):  
Risk Factors ◽  
Polycystic Ovary Syndrome ◽  
Adolescent Girls ◽  
Cardiometabolic Risk ◽  
Polycystic Ovary ◽  
Cardiometabolic Risk Factors ◽  
Cvd Risk ◽  
Ovary Syndrome ◽  
Apo B ◽  
Fasting Plasma

Abstract Context Adolescents with polycystic ovary syndrome (PCOS) have increased incidence of cardiometabolic risk factors including dyslipidemia. Atherogenic apolipoprotein (apo) B-lipoprotein remnants are associated with increased cardiovascular disease (CVD) risk. Objective The aim of this study was to determine the concentrations of fasting plasma apoB-lipoprotein remnants, apoB48 and apoB100, and their association with cardiometabolic risk factors and androgen indices in adolescent girls with and without PCOS. Design, setting and participants Participants (n = 184) aged 17 years were recruited in the Menstruation in Teenagers Study from the Western Australian Pregnancy Cohort (Raine) Study. The main outcome measures Fasting plasma apo-B48 and -B100 lipoprotein remnant concentrations in adolescent girls with and without PCOS. Results Fasting plasma apoB48-lipoprotein remnants but not apoB100-lipoprotein remnants were elevated in adolescent girls with increased cardiometabolic risk compared with those with lower cardiometabolic risk (13.91 ± 5.06 vs 12.09 ± 4.47 µg/mL, P &lt; .01). ApoB48-lipoprotein remnants were positively correlated with fasting plasma triglycerides (b = .43, P &lt; .0001). The prevalence of increased cardiometabolic risk factors was 2-fold higher in those diagnosed with PCOS (35.3%) than in those without PCOS (16.3%).Conclusion: Adolescents with PCOS have a 2-fold higher incidence of cardiometabolic risk factors than those without PCOS. Fasting apoB48-lipoprotein remnants are elevated in adolescent girls with a high prevalence of cardiometabolic risk factors.

scholarly journals Restrictive pattern on spirometry: association with cardiovascular risk and level of physical activity in asymptomatic adults

2016 ◽  
Vol 42 (1) ◽  
pp. 22-28 ◽  
Author(s):  
Evandro Fornias Sperandio ◽  
Rodolfo Leite Arantes ◽  
Agatha Caveda Matheus ◽  
Rodrigo Pereira da Silva ◽  
Vinícius Tonon Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Arterial Hypertension ◽  
Cardiorespiratory Fitness ◽  
Physical Inactivity ◽  
Center Of Pressure ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Systemic Arterial Hypertension ◽  
Restrictive Pattern

Objective : To determine whether a restrictive pattern on spirometry is associated with the level of physical activity in daily life (PADL), as well as with cardiovascular disease (CVD) risk factors, in asymptomatic adults. Methods : A total of 374 participants (mean age, 41 ± 14 years) underwent spirometry, which included the determination of FVC and FEV1. A restrictive pattern on spirometry was defined as an FEV1/FVC ratio > 0.7 and an FVC < 80% of the predicted value. After conducting demographic, anthropometric, and CVD risk assessments, we evaluated body composition, muscle function, and postural balance, as well as performing cardiopulmonary exercise testing and administering the six-minute walk test. The PADL was quantified with a triaxial accelerometer. Results : A restrictive pattern on spirometry was found in 10% of the subjects. After multivariate logistic regression, adjusted for confounders (PADL and cardiorespiratory fitness), the following variables retained significance (OR; 95% CI) as predictors of a restrictive pattern: systemic arterial hypertension (17.5; 1.65-184.8), smoking (11.6; 1.56-87.5), physical inactivity (8.1; 1.43-46.4), larger center-of-pressure area while standing on a force platform (1.34; 1.05-1.71); and dyslipidemia (1.89; 1.12-1.98). Conclusions : A restrictive pattern on spirometry appears to be common in asymptomatic adults. We found that CVD risk factors, especially systemic arterial hypertension, smoking, and physical inactivity, were directly associated with a restrictive pattern, even when the analysis was adjusted for PADL and cardiorespiratory fitness. Longitudinal studies are needed in order to improve understanding of the etiology of a restrictive pattern as well as to aid in the design of preventive strategies.

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