FRI034 Visceral Adiposity Index Is Associated With Cardiovascular Diseases, Independent Of Body Mass Index: Analysis From NHANES Study
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Abstract Disclosure: H. Ayesh: None. A.B. Bradley: None. Introduction: Cardiovascular diseases (CVD) are associated with significant mortality and morbidity. Early identification of at-risk individuals plays an essential role in the treatment and management of CVD. There are multiple reports in the literature that Visceral Adiposity Index (VAI), has been associated with CVD. In this study, we will investigate the association of VAI with CVD, independent of body mass index (BMI), age, and diabetes status. Methods: A sample of 6587 individuals were selected from the NHANES study population (2011-2020). The sample included all individuals in the NHANES population (2011-2020) who are above 18 years and have waist circumference (WC), serum high-density lipoprotein (HDL) level, and serum triglyceride level (TG) available to calculate VAI. CVD status was assigned based on the question “Ever told you had coronary heart disease” from the NHANES survey. VAI for men was calculated using the formula “(WC/(39,68+(1.88*BMI) *(TG/1.03) *(1.31/HDL)”. VAI for women was calculated using the formula “(WC/(36,58+(BMI *1.89) *(TG/0.81) *(1.52/ HDL)” .VAI values were divided into 4 quartiles as follows: 1st(<1.81), 2nd (< 3.03), 3rd(< 5.09), 4th(> 5.09). Logistic regression analysis was performed to study the association between VAI and CVD. Statistical analysis was adjusted for age, BMI, and diabetes status. Results: Statistical analysis showed a statistically significant association between CVD and VAI independent of age, BMI and diabetes status. The odds of CVD were higher in the VAI 4th quartile group compared to the 1st quartile group with an odds ratio of 1.44 (95% CI 1.05-1.98), P value 0.02. Discussion/Conclusion: These results indicate that VAI can serve as a screening tool to identify individuals at risk for cardiovascular diseases. Waist circumference measurements, serum triglyceride levels, and high-density lipoproteins serum levels values are often easily accessible in clinical practice. Implementation of auto-calculation of VAI in electronic health records will provide robust screening and monitoring tools to identify individuals at risk for CVD, especially those with normal BMI. Future high-quality prospective studies will be helpful to further understand the association. Presentation: Friday, June 16, 2023Keywords:
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Purpose: Obesity and overweight are associated with variety of conditions detrimental to health, wellbeing and longevity. Waist circumference and waist to hip ratio are indicators of risk of central adiposity while body mass index is an indicator of overall risk of obesity. Body mass index has been traditionally used as a standard for determining overweight and obesity. This study was designed to determine the relationship between waist circumference, waist to hip ratio and body mass index among female undergraduates of a Nigerian University. Also prevalence of obesity based on waist circumference, waist to hip ratio and body mass index was explored. Methods: Three hundred and sixty four apparently healthy subjects were recruited for the study using a cross-sectional simple random sampling technique. Waist circumference, waist to hip ratio and body mass index were determined using standard methods. Descriptive statistics were used to summarize the physical characteristics of the participants. Pearson correlation coefficient was used to analyze the relationship between waist circumference, waist to hip and body mass index. Results: The mean age, waist circumference, waist to hip ratio and body mass index of the participants were 22.5 (±2.20) years, 79.36 (±10.4) cm, 0.81 (±0.06), and 22.48 (±4.50) kg/m2 respectively. The prevalence of obesity based on body mass index, waist circumference and waist to hip ratio was found to be 6.3%, 17.6% and 25.5% respectively. Significant relationship was found between waist circumference and body mass index (r = 0.81; p< 0.001), and between waist to hip ratio and body mass index (r = 0.25; p< 0.001). Conclusions: Body mass index was related to waist circumference, as well as to waist to hip ratio. The prevalence of obesity based on waist to hip ratio was highest among female undergraduates in a Nigerian university. Awareness on the importance of waist to hip ratio as indicator of risk of obesity should be created among female undergraduates in Nigerian Universities and by extension among the women population in general.
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The aim of the study was to assess the relationship between age and obesity, to assess waist circumference and obesity. This type of quantitative research uses a cross-sectional design. The sample is 161 respondents. Data was collected using a questionnaire and measuring body mass index. Data were analyzed using the Pearson correlation test and linear regression analysis. The results showed that there were 144 respondents (89.4%) in the 18 - 25 year age category, 13 respondents (8.1%) for Body Mass Index for the first obesity category, 12 respondents (7.5%) for obesity II. There is a relationship between age and waist circumference with a p-value of 0.0001, there is a relationship between age and body mass index with a p-value of 0.0001. There is a relationship between age and body weight with a p-value of 0.001. Age is a risk factor for waist circumference, BMI, weight and hearing. As you get older, your waist circumference increases, your BMI increases, your weight increases and your age decreases your hearing ability. An obesity risk factor is age
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Objective: This study was carried out on different populations of genetic and physical conditions to confer the relationship between genetic polymorphisms and the body mass index(BMI) and waist circumference(WC).And on this basis,this study observes the impact of the changes of FTO gene polymorphism of people with different levels of physical activity on the body mass index(BMI) and waist circumference(WC),so as to understand the interaction of genetic and environmental effects on physical condition,and provide theoretical guidance of developing physical health research.Method: The FTO variant rs1121980 was genotyped in 20,774 participants(39~79 y of age) from the Han population in Northern China,an ethnically homogeneous population based cohort physical activity(PA) was assessed with a validated self reported questionnaire.The interaction between rs1121980 and PA on body mass index(BMI) and waist circumference(WC) was examined by including the interaction term in mixed effect models.Result: It confirmed that the risk(T) allele of rs1121980 was significantly associated with BMI and WC.The PA level attenuated the effect of rs1121980 on body mass index(BMI) and waist circumference(WC);Conclusion: the results showed that PA attenuates the effect of the FTO rs1121980 genotype on body mass index(BMI) and waist circumference(WC).This observation has important public health implications because it shown that a genetic susceptibility to obesity induced by FTO variation can be overcome,at least to some extent,by adopting a physically active lifestyle.
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This article outlines the clinical values and limitations of body mass index and waist circumference for nutritional assessment among obese individuals and emphasizes the importance of combining these two parameters for diagnosis of obesity.
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OBJECTIVES. Abdominal obesity may be a better predictor than overall obesity for the risk of cardiovascular disease and type 2 diabetes. Waist circumference and waist-height ratio are 2 simple, yet effective, surrogate measures of abdominal obesity. We sought to examine the recent trends in mean waist circumference and waist-height ratio and prevalence of abdominal obesity among children and adolescents aged 2 to 19 years in the United States. METHODS. Representative samples of the civilian, noninstitutionalized US population from the National Health and Nutrition Examination Survey conducted during 4 time periods, 1988–1994 (ie, National Health and Nutrition Examination Survey III), 1999–2000, 2001–2002, and 2003–2004, were examined to estimate the mean waist circumference and waist-height ratio of boys and girls in 4 different age groups. Data from the 3 most recent National Health and Nutrition Examination Surveys were combined to establish a National Health and Nutrition Examination Survey 1999–2004 category. RESULTS. Categorized by age group, the unadjusted mean waist circumference for boys increased between National Health and Nutrition Examination Survey III and National Health and Nutrition Examination Survey 1999–2004 from 50.7 cm (aged 2–5 years), 61.9 cm (aged 6–11 years), 76.8 cm (aged 12–17 years), and 81.3 cm (aged 18–19 years) to 51.9, 64.5, 79.8, and 86.6 cm, respectively. During the same time periods and within the same age groups, the unadjusted mean waist circumference for girls increased from 51.0, 61.7, 75.0, and 77.7 cm to 51.8, 64.7, 78.9, and 83.9 cm, respectively. The relative change in waist-height ratio was similar to waist circumference at each age group for both boys and girls. Using the 90th percentile values of waist circumference for gender and age, the prevalence of abdominal obesity increased by 65.4% (from 10.5% to 17.4%) and 69.4% (from 10.5% to 17.8%) for boys and girls, respectively. CONCLUSIONS. Mean waist circumference and waist-height ratio and the prevalence of abdominal obesity among US children and adolescents greatly increased between 1988–1994 and 1999–2004.
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Objective:This study was carried out on groups of different physical condition,exploring the relationship between changes of gene polymorphism and BMI(body mass index)and WC(waist circumference).And on the basis it explores the effect of different levels of physical activity on BMI and the crowd WC.Method:The Han population in northern China in the subjects(age 39~79 years) were assessed for physical activity(PA),and the subjects(subjects are from the same ethnic group)height,weight,waist circumference and other indices were measured.Effects of physical activity on body mass index and waist circumference(WC) were analyzed.Conclusion:The physical activity significantly reduced the effects on BMI and WC.The effect of BMI and WC of the inactive group is greater than the active group.The findings have great in promoting significance public health,which shows that the increase in body mass index and waist circumference can be controlled lifestyle physical activity.
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Abstract Body mass index (BMI) is typically used to define overweight and obesity. However, without waist circumference information, BMI may misclassify as overweight or obese. Therefore, we proposed a new index based on BMI. We developed a New Body Mass Index (NBMI) by adding waist circumference (WC) to BMI, which combined BMI and WC. That is, it also combined weight-for-height and waist-to-height ratios. The formula is: NBMI = BMI × WC (m) = WT (kg) / HT (m 2 ) × WC (m) = WT (kg) / HT (m) × WC (m) / HT (m) = weight-for-height × waist-to-height. Firstly, individuals with the same height and weight have the same BMI, but their waist circumferences could vary considerably, and NBMI could distinguish body differences among people's waist sizes. Secondly, NBMI could better identify central obesity than BMI. Thirdly, NBMI could not only measure body mass but also classify health and obesity degrees according to a wide range of scores. Firstly, NBMI incorporating WC could better reflect the body difference in waist size than BMI. Secondly, NBMI is more convenient for identifying central obesity. Thirdly, NBMI could better classify different weight types by expanding the score range.
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Abstract Background Copper is an essential trace metal with potential interest for cardiovascular effects. Few studies have explored the association between copper and blood pressure in children and adolescents (hereafter referred to as youths). Method: We conducted a cross-sectional analysis of 1242 youths aged 8–17 years who participated in the 2011 to 2016 National Health and Nutrition Examination Survey. Using 2017 American Academy of Pediatrics guidelines, Elevated Blood Pressure (EBP) was defined as a mean systolic and/or diastolic blood pressure (BP) ≥ 90th percentile for sex, age, and height for children aged 1–12 years and systolic BP ≥ 120 mmHg or diastolic BP ≥ 80 mmHg for adolescent age 13–17 years. Mean serum copper was 114.17 µg/dL. Results After multiple adjustments, dose-response analyses revealed that EBP was associated with progressively higher serum copper concentrations in a nonlinear trend. In comparison with the lowest quartile of serum copper concentrations, the adjusted odds of EBP for the highest quartile was 5.26 (95% confidence interval [CI], 2.76–10.03). Conclusion Our results suggested that high serum copper concentrations were significantly associated with EBP in US youths.
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