The relationships between body composition and cardiovascular risk factors in young Australian men

Liberato, Selma C.; Maple-Brown, Louise; Bressan, Josefina; Hills, Andrew P.

doi:10.1186/1475-2891-12-108

Cited by 13 publications

(7 citation statements)

References 67 publications

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“…A study conducted with adolescents in Campina Grande (PB) showed an association between BMI and TC and its LDL fraction 6 . Santos et al 25 and Liberato et al 26 reported a negative correlation between HDL-c and BMI.…”

Section: Discussionmentioning

confidence: 96%

Prevalence of Dyslipidemia According to the Nutritional Status in a Representative Sample of São Paulo

Garcez

Pereira

Fontanelli

et al. 2014

Arquivos Brasileiros De Cardiologia

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BackgroundOverweight is one of the major public health problems in Brazil; it is associated with dyslipidemia, which is an important risk factor for cardiovascular diseases.ObjectiveTo evaluate the lipid profile of residents of the municipality of São Paulo, state of São Paulo, according to the nutritional status.MethodsData from the population-based cross-sectional study ISA-Capital 2008 on a sample of residents of São Paulo were used. Participants were categorized into groups according to body mass index and age range. The levels of total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides, and non-HDL cholesterol were measured. The association between lipid profile, nutricional status, and waist circumference was investigated. The data were processed using the survey mode of the Stata 11.0 software.ResultsThe prevalence of any type of dyslipidemia in the population was 59.74%, with low HDL-cholesterol dyslipidemia being the most common type. Not overweight individuals had higher mean levels of HDL-cholesterol and lower levels of LDL-cholesterol, total cholesterol, triglycerides, and non-HDL cholesterol when compared with the overweight group. The rate of inadequacy of these variables was higher in the overweight individuals, regardless of the age group, to the exception of LDL-cholesterol in the adults and elderly. A higher prevalence of isolated hypertriglyceridemia was observed in individuals with higher waist circumference among the adults and the total population.ConclusionThe results indicate an association between dyslipidemia and overweight in the population of the city of São Paulo. The most prevalent dyslipidemia in this population was low HDL-cholesterol.

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Section: Discussionmentioning

confidence: 96%

Prevalence of Dyslipidemia According to the Nutritional Status in a Representative Sample of São Paulo

Garcez

Pereira

Fontanelli

et al. 2014

Arquivos Brasileiros De Cardiologia

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show abstract

“…Regarding the relationship between anthropometric and health parameters, previous studies reported a clear relationship between body composition and the risk of developing cardiovascular diseases and type II diabetes [ 62 , 63 ]. In contrast, in the present study, although BMI, FAT, LBM, and AG were significantly correlated with all the health parameters analyzed except SPO2, these correlations were weak or moderate in the case of BMI, FAT, and AG, and weak in the case of LBM.…”

Section: Discussionmentioning

confidence: 99%

Relationship between Specific Field-Based Physical Fitness Test Results and Selected Health Biomarkers in College-Aged Males: A Cross-Sectional Study

Prieto-González

2022

IJERPH

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Objective: This study aimed to verify the association between specific field-based physical fitness test results and selected health biomarkers in college-aged males. Method: A total of 390 males participated in this research. The association between fitness test scores and anthropometric and health variables were examined. The fitness tests conducted were: Sit-and-reach test (S&R), standing long jump test (SLJ), Shuttle run test (SHR), and 20 m Multistage Fitness Test (BT) to estimate the maximum oxygen uptake (VO2max). The anthropometric and health variables assessed were: Weight (WE), height (HE), body mass index (BMI), body fat percentage (FAT), lean body mass (LBM), abdominal Girth (AG), waist-to-hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), oxygen saturation (SPO2), average blood pressure (A-BP), double product (DP), and fasting blood glucose (GLU). Results: S&R presented a weak significant correlation with SLJ, VO2max, and AG. SLJ maintained weak to moderate significant correlations with S&R, SHR, VO2max, HE, WE, LBM, WHR, BMI, FAT, AG, SBP, DBP, A-BP, DP, and GLU. SHR presented weak to moderate significant correlations with SLJ, VO2max, WE, BMI, AG, FAT, HE, SBP, DP, and GLU. VO2max maintained weak to moderate correlations with S&R, SLJ, SHR, WE, BMI, FAT, LBM, AG, and DP. Weak to moderate correlations were found between anthropometric and health variables, whereas the anthropometric variables presented significant correlations with each other, ranging from weak to very strong. Fitness test results presented weak to moderate correlations among themselves. Conclusion: SLJ and SHR present weak to moderate validity to predict the selected anthropometric markers and weak to predict the selected health indicators except for SPO2. VO2max has only weak validity to predict the selected anthropometric markers, whereas S&R is not valid to predict the selected health or anthropometric markers. Anthropometric measurements have weak validity in predicting the selected health markers. BMI and AG are valid, simple, and economical measurements to assess body fat. A positive interaction between the results obtained in the field-based fitness tests conducted was observed.

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“…The greater the obesity level, the body fatness or the abdominal obesity the greater the risk of developing cardiovascular disease. Other risk factor of cardiovascular disease include physical inactivity, elevated psychosocial stress and inappropriate diet [4 ] .…”

Section: Introductionmentioning

confidence: 99%

Correlation of Body Composition (Body Mass Index, Waist-to-Hip Ratio, Waist-to-Height Ratio, Neck Circumference) With Fitness Index Using Harvard Step Test

Baruah Hazra

2023

Preprint

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BACKGROUND : Despite many clear benefits of active lifestyle lack of physical activity are common mostly among students, which further lead to alteration in body compositions. This alteration in body composition is the leading cause of various diseases as well as decrease in Fitness Index level. OBJECTIVE : To correlate the body compositions i.e. Body Mass Index, Waist-to-Hip Ratio, Waist-to-Height Ratio, Neck Circumference with Fitness Index using Harvard Step Test among students of PEWS Group of Institutions and also to find which body composition is the strongest predictor of Fitness Index. METHODOLOGY : 100 subjects were selected randomly in the study and were divided into two groups i.e Group A (Male) and Group B (Female), each having 50 subjects. For each subject BMI, WHR, WHtR, NC was measured. Harvard Step Test was performed and FI was calculated using it. RESULT : Based on the statistical analysis i.e Karl Pearson?s Coefficient of Correlation, BMI, WHR, WHtR, NC all are negatively correlated with FI for both males and females. BMI, WHtR, NC of females and WHR of males have greater negative correlation with FI. CONCLUSION : There is correlation between body compositions i.e. BMI, WHR, WHtR, NC and FI. BMI is the best predictor of FI in both males and females; also it has been observed that the males are fitter than the females.

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The relationships between body composition and cardiovascular risk factors in young Australian men

Cited by 13 publications

References 67 publications

Prevalence of Dyslipidemia According to the Nutritional Status in a Representative Sample of São Paulo

Prevalence of Dyslipidemia According to the Nutritional Status in a Representative Sample of São Paulo

Relationship between Specific Field-Based Physical Fitness Test Results and Selected Health Biomarkers in College-Aged Males: A Cross-Sectional Study

Correlation of Body Composition (Body Mass Index, Waist-to-Hip Ratio, Waist-to-Height Ratio, Neck Circumference) With Fitness Index Using Harvard Step Test

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