scholarly journals A Cross-Sectional Study: Predicting Health Risks Among Female University Students

2020 ◽  
Vol 13 (1) ◽  
pp. 316-322
Author(s):  
Qassim I. Muaidi ◽  
Mohammad Ahsan
Keyword(s):  
Waist Circumference ◽  
Health Risks ◽  
Visceral Fat ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Visceral Fat Area ◽  
Cross Sectional ◽  
Waist Height Ratio

Background: Good health is very important in our lives and plays a significant role. Many health risks are associated with an unhealthy lifestyle. These risks are responsible for raising the risk of chronic heart diseases and other health complications. Females are not exempted from these issues. Objective: To identify the obesity-associated health risks of female students by using selected anthropometric measurements. Methods: A cross-sectional study was conducted including 300 females aged 20.82 ± 5.23 years from the college of applied medical sciences, Imam Abdulrahman bin Faisal University. The anthropometric measurements (body mass index, percentage of body fat, visceral fat area, waist circumference, waist-hip ratio,and waist-height ratio) were taken with the help of an auto-calibrated bioelectric impedance device. The waist-height ratio was determined by dividing waist circumference with height. Cross tabulation was done to scrutinize the participant’s levels at risk and high risk. Linear regression analysis was done to see the relationship and prediction between selected anthropometric measurements. Results: The finding showed that BMI level was high in 55% of participants, Waist-height ratio over the average level was 46.67% and 21% of participants had a visceral fat area on risk. Linear regression analysis showed a strong association among body mass index, percentage of body fat, visceral fat area, waist circumference, waist-hip ratio,and waist-height ratio and statistically significant to each other at the 0.01 level. Conclusion: The selected anthropometric measurements can be used to identify health-related risks. Though, when any anthropometric measurement dichotomized as standard or high, BMI is the best measure to predict health risk.

scholarly journals Correlation of Visceral Fat Area with Metabolic Risk Factors in Romanian Patients: A Cross-Sectional Study

2015 ◽  
Vol 22 (4) ◽  
pp. 393-402 ◽  
Author(s):  
Anca Hâncu ◽  
Gabriela Radulian
Keyword(s):  
Risk Factors ◽  
Waist Circumference ◽  
Visceral Fat ◽  
Cross Sectional Study ◽  
Liver Fat ◽  
Sectional Study ◽  
Visceral Fat Area ◽  
Cross Sectional ◽  
Previous Diagnosis ◽  
Obesity Hypertension

AbstractBackground and Aims: The aim of the present study was to investigate the relationship between visceral fat area (VFA), estimated by bioimpedance, and cardiovascular risk factors independent of BMI and waist circumference in a cohort of Romanian patients. Material and Methods: This was a cross-sectional study, in which were collected data from 751 patients ≥18 years of age from Cluj-Napoca. Anthropometric, biochemistry, body composition and medical history parameters were recorded from patients’ files. Results: Compared with the participants with VFA <100 cm2, those with VFA ≥100 cm2had significantly worse levels of the laboratory parameters describing the glycemic metabolism, lipid metabolism and liver functions (p <0.05 for all). A higher percentage of participants with VFA ≥100 cm2had diabetes, obesity, hypertension, hypertriglyceridemia and hypo-HDL cholesterolemia (p <0.05 for all). VFA was correlated with systolic and diastolic blood pressure, total and LDL-cholesterol levels, triglycerides, ALT, previous diagnosis of diabetes, hypertriglyceridemia and hypo-HDL cholesterolemia independent of BMI and waist circumference. Conclusions: Among this cohort of Romanian adults, an increasing level of visceral adiposity was correlated with worse lipid and glucose metabolism parameters as well as with increased levels of ALT, which probably reflects liver fat deposition.

scholarly journals Cross-sectional study of the association between day-to-day home blood pressure variability and visceral fat area measured using the dual impedance method

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0206945 ◽  
Author(s):  
Junko Kuwabara ◽  
Koichiro Kuwahara ◽  
Yoshihiro Kuwabara ◽  
Shinji Yasuno ◽  
Yasuaki Nakagawa ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Visceral Fat ◽  
Blood Pressure Variability ◽  
Cross Sectional Study ◽  
Home Blood Pressure ◽  
Impedance Method ◽  
Sectional Study ◽  
Visceral Fat Area ◽  
Cross Sectional

scholarly journals BMI, waist to height ratio and waist circumference as a screening tool for hypertension in hospital out patients: a cross-sectional study

2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Bijay Khatri ◽  
Madan P. Upadhyay ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  
Keyword(s):  
Risk Factor ◽  
Waist Circumference ◽  
Low Income ◽  
Cross Sectional Study ◽  
Anthropometric Measurement ◽  
Sectional Study ◽  
Height Ratio ◽  
Cross Sectional ◽  
Obesity And Overweight ◽  
Waist To Height Ratio

Abstract BackgroundObesity has become a global epidemic and an important risk factor for non-communicable diseases. Earlier thought to be a problem of developed world, it has now become a problem of low- and middle-income countries like Nepal. In absence of a routine surveillance or a registry system, the actual burden and trend of obesity in Nepal is unknown. Obesity and overweight are recognized risk factors for hypertension and associated with cardiovascular disease. The aim of the study was to find out burden of obesity, using three commonly employed metrics in hospital outpatient setting of a low-income country as predictors of hypertension, and compare ability of different anthropometric measurements through a non-inferiority study to predict hypertension.MethodsThis cross-sectional study was conducted among 40-69 years outpatients in a tertiary Eye and ENT hospital in a semi-urban area of Nepal among randomly selected 2,256 participants from 6,769 outpatients who were evaluated in Health Promotion and risk factor screening service. We did correlation analysis to determine the relationship between anthropometric measurement and blood pressure. The area under the Receiver Operating characteristic curve of Body Mass Index (BMI), Waist to Height Ratio (WHtR) and Waist Circumference (WC) was calculated and compared. ResultsThe prevalence of obesity and overweight by BMI was 16.09% and 42.20% respectively; by Waist-to-Height-Ratio was 32.76% which is two times higher than obesity measured by BMI. High waist circumference was observed among 66.76% participants. Female participants had greater prevalence of high WC (77.46%) than male (53.73%) (p<0.001). Prevalence of hypertension and pre-hypertension was 40.67% and 36.77% respectively. The areas under the curve were significantly higher than 0.5 for BMI (0.593), WHtR (0.602) and WC (0.610).ConclusionWaist circumference correlated well with obesity and hypertension. It also had higher predicting ability than WHtR and BMI to predict hypertension. Waist circumference thus proved to be non-inferior to two other commonly used metrics. It proved superior in detecting obesity in female. This simple and inexpensive tape measurement may play an important role in future diagnosis of obesity and prediction of HTN in resource constrained settings of developing countries.

scholarly journals Association of adiposity with thyroid nodules: a cross-sectional study of a healthy population in Beijing, China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Hui-xia Yang ◽  
Yu Zhong ◽  
Wei-hua Lv ◽  
Feng Zhang ◽  
Hong Yu
Keyword(s):  
Visceral Fat ◽  
Thyroid Nodules ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Continuous Variable ◽  
Overweight And Obesity ◽  
Healthy Population ◽  
Visceral Fat Area ◽  
Cross Sectional ◽  
Beijing China

Abstract Background The relationship between thyroid nodules (TNs) and adiposity is controversial. This paper describes a cross-sectional investigation performed to determine the existence of any such relationship. To assess adiposity, body mass index (BMI) and visceral fat area (VFA) were utilized. Methods Between January 1, 2017 and March 3, 2019. Three thousand five hundred thirty four healthy people were examined using thyroid ultrasonography, visceral fat and anthropometric measurements, laboratory tests and questionnaire interview. Binary logistic regression analyses were used. Results Of the 3534 healthy subjects, 58.69% (2074/3534) of the subjects had TNs. A total of 55.91% (1976/3534) had BMI ≥ 25 kg/m2 and 39.67% (1402/3534) had VFA ≥ 100 cm2. After adjustment to address confounders, BMI-based overweight and obesity levels only correlated with higher risk TNs when used as a continuous variable (OR = 1.031, 95% CI: 1.008–1.055, P = 0.008), while VFA was both a continuous variable (OR = 1.003, 95% CI: 1.000–1.005, P = 0.034) and a categorical variable (OR = 1.198, 95% CI: 1.014–1.417, P = 0.034) associated with significantly elevated risk of TNs. Analyzing the subgroups, BMI ≥ 25 kg/m2 (OR = 1.500, 95% CI: 1.110–2.026, P = 0.008) was significantly correlated with TN risk in individuals with TG ≥ 1.7 mmol/L. VFA ≥ 100 cm2 correlated with the TN risk irrespective of age (< 50 years: OR = 1.374, 95% CI: 1.109–1.703, P = 0.004; ≥ 50 years: OR = 1.367, 95% CI: 1.063–1.759, P = 0.015) and in the following subgroups: women (OR = 4.575, 95% CI: 2.558–8.181, P = 0.000), FBG ≥ 6.1 mmol/L (OR = 1.522, 95% CI: 1.048–2.209, P = 0.027), and TG ≥ 1.7 mmol/L (OR = 1.414, 95% CI: 1.088–1.838, P = 0.010). Conclusions Adiposity correlates with TNs. To assess TN risk in Chinese individuals, VFA is better than BMI.

scholarly journals Association between breath methane concentration and visceral fat area: a population-based cross-sectional study

2020 ◽  
Vol 14 (2) ◽  
pp. 026008
Author(s):  
Naoki Ozato ◽  
Shinichiro Saito ◽  
Tohru Yamaguchi ◽  
Mitsuhiro Katashima ◽  
Itoyo Tokuda ◽  
...  
Keyword(s):  
Visceral Fat ◽  
Methane Concentration ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Visceral Fat Area ◽  
Cross Sectional ◽  
Breath Methane

scholarly journals BMI, waist to height ratio and waist circumference as a screening tool for hypertension in hospital out patients: a cross-sectional study

2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Bijay Khatri ◽  
Madan P. Upadhyay ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Waist Circumference ◽  
Area Under The Curve ◽  
Overweight And Obesity ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Cross Sectional ◽  
High Waist Circumference ◽  
Waist To Height Ratio

Abstract Background: Obesity has become a global epidemic with a rise in noncommunicable diseases. It is now becoming the problem of low- and middle-income countries such as Nepal. Conventional risk factors are present in a high proportion in the Nepalese population. As a routine surveillance or registry system is absent, the actual burden and trend of obesity and hypertension in Nepal are unknown. Hypertension and other cardiovascular diseases can be prevented by detecting risk factors such as obesity and high blood pressure. A simple anthropometric measurement could be used to determine the risk of hypertension. However, the best predictor of hypertension remains contentious and controversial. We aimed to determine the burden of obesity and hypertension and test the ability to determine hypertension through different anthropometric measurements in hospital outpatients in a low-income setting.Methods: This hospital-based cross-sectional descriptive study was conducted from June to December 2019 among 40-69 year outpatients in a tertiary eye and ENT hospital in a semi-urban area of Nepal among a randomly selected sample of 2,256 participants from 6,769 outpatients visited in Health Promotion and risked factor screening service. We performed a correlation analysis to determine the relationship between anthropometric measurements and blood pressure. The area under the receiver operating characteristic (ROC) curve of body mass index (BMI), waist to height ratio (WHtR) and waist circumference (WC) was calculated and compared.Results: The mean (SD) age of the participants was 51.75 (8.47) years. The overall prevalence of obesity and overweight by BMI was 16.09% and 42.20%, respectively. The overall prevalence of abdominal obesity by waist-to-height ratio was 32.76%, which is higher than obesity by BMI. High waist circumference was observed among 66.76% participants, whereas female participants had a very higher prevalence of high waist circumference (77.46%) and male participants (53.73%) (p<0.001). The prevalence of hypertension among the participants with BMI≥25 kg/m2, WHtR≥0.5 and WC≥ cutoff values was 45.97%, 42.52% and 45.28%, respectively. The overall prevalence of hypertension and prehypertension was 40.67% and 36.77%, respectively. Male participants had a slightly higher prevalence of hypertension (42.72%) than female participants (39.00%). The areas under the curve (AUCs) were significantly higher than 0.5 for BMI (0.570, 95% CI: 0.548-0.592), WC (0.585, 95% CI: 0.563-0.607) and WHtR (0.586, 95% CI: 0.564-0.608). In both genders, the area under the curve was significantly higher than 0.5 (P<0.01). In all age groups, the area under the curve was also significantly higher than 0.5.Conclusion: Waist circumference was both correlated as well as had higher predictive capacity amongst WHtR and BMI and may play a major role in the future diagnosis of HTN in Nepali adults. Regardless of the anthropometric metrics used to measure overweight and obesity, the hospital setting is an opportunity centre to screen for overweight, obesity and hypertension, which are major risk factors for NCDs.

scholarly journals Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil

2010 ◽  
Vol 104 (6) ◽  
pp. 908-913 ◽  
Author(s):  
Diana Barbosa Cunha ◽  
Renan Moritz Varnier Rodrigues de Almeida ◽  
Rosely Sichieri ◽  
Rosangela Alves Pereira
Keyword(s):  
Waist Circumference ◽  
Low Income ◽  
Dietary Patterns ◽  
Eating Habits ◽  
Linear Regression Analysis ◽  
Positive Association ◽  
Population Based ◽  
Cross Sectional Study ◽  
Protective Role ◽  
Cross Sectional

Traditional analysis of food intake usually fails to show an association between energy and nutrient intake and indicators of obesity. The analysis of food patterns can contribute to the understanding of the association between eating habits and anthropometric indicators. A population-based cross-sectional study was carried out on a low-income neighbourhood in the Rio de Janeiro metropolitan area, and 1009 subjects between 20 and 65 years of age completed an FFQ. Dietary patterns were identified by means of factor analysis, and their associations with BMI and waist circumference (WC) were ascertained by applying a linear regression analysis. Three main dietary patterns were identified: a mixed pattern, which included cereals, fish and shrimp, vegetables, roots, fruits, eggs, meat and caffeinated beverages; a Western pattern, which consisted of ‘fast foods’, soft drinks, juices, cakes, cookies, milk and dairy, sweets and snacks; a traditional pattern, which included rice, beans, bread, sugar, fats and salad dressings. After adjusting for age and energy intake, we found that the traditional dietary pattern was inversely associated with BMI (β = − 1·14, P < 0·001) and WC (β = − 14·9, P = 0·002) among females. Additionally, a positive association between the Western pattern and WC (β = 12·8, P = 0·02) was observed for females. A diet based on rice and beans may have a protective role against weight gain in women.

scholarly journals Comparison of body composition parameters in the study of the association between body composition and pulmonary function

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Caren Ishikawa ◽  
Marco Antonio Barbieri ◽  
Heloisa Bettiol ◽  
Gabriel Bazo ◽  
Alexandre A. Ferraro ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Pulmonary Function ◽  
Fat Mass ◽  
Mass Measurement ◽  
Height Ratio ◽  
Cross Sectional ◽  
Bod Pod ◽  
Waist Height Ratio ◽  
Composition Measurements

Abstract Background The excess adiposity, even in the absence of diseases, is responsible for a decline in pulmonary function, which is considered a predictor of mortality and a risk factor for diseases in several epidemiological studies. However, studies on the association between obesity and pulmonary function have found only few associations or inconclusive results. The aim of the study is to evaluate the association between body composition and spirometric parameters, comparing simple obesity measures such as body mass index (BMI) and waist circumference with more precise body composition measurements such as dual-energy X-ray absorptiometry (DXA) and air-displacement plethysmography (BOD POD). Methods This is an observational, cross-sectional study that used data from the 1978/79 Ribeirão Preto birth cohort (São Paulo, Brazil). The study included 1746 participants from the 5th follow-up of the cohort. Linear regressions were calculated to evaluate the association between BMI, waist circumference, waist–height ratio (WHtR), BOD POD- and DXA-measured fat mass percentage, and spirometric parameters FEV1, and FVC. Results For every 1-kg/m2 BMI increase, FVC decreased by 13 ml in males and by 6 ml in females and FEV1 decreased by 11 ml and 5 ml, respectively. Regarding body composition measurements, for a 1% increase in fat mass assessed by BOD POD, FVC decreased by 16 ml in males and by 8 ml in females and FEV1 decreased by 13 ml and 7 ml, respectively. Hence, negative associations between body measurements and FEV1 and FVC were observed in both genders, especially when using the fat mass measurement and were more expressive in men. Conclusion The anthropometric and body composition parameters were negatively associated with the spirometric variables FVC and FEV1. We have also observed that simple measures such as waist-height ratio were sufficient to detect the association of body composition with pulmonary function reduction.

scholarly journals The visceral fat area to leg muscle mass ratio is significantly associated with the risk of hyperuricemia among women: a cross-sectional study

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Xiao-He Wang ◽  
Wei-Ran Jiang ◽  
Min-Ying Zhang ◽  
Ying-Xin Shi ◽  
Yun-Ping Ji ◽  
...  
Keyword(s):  
Visceral Fat ◽  
Density Lipoprotein ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Significant Positive Association ◽  
Visceral Fat Area ◽  
Cross Sectional ◽  
Menopausal Women ◽  
Leg Muscle

Abstract Background A significant positive association was found in previous studies among obesity, visceral fat accumulation, and hyperuricemia. The purpose of this study was to explore the association between the ratio of visceral fat area to leg muscle mass (VFA-to-LMM) and hyperuricemia, and verify the role of gender differences in the association. Methods A total of 3393 (43.3% are men) participants from Tianjin Union Medical Center-Health Management Center were recruited for this cross-sectional study. The VFA-to-LMM ratio was used as the independent variable. Hyperuricemia, a serum uric acid level ≥ 416 μmol/L in men and in menopausal women and ≥ 357 μmol/L in premenopausal women, was used as the dependent variable. Multiple logistic regression analysis was used to estimate the odds ratio and the 95% confidence interval between the VFA-to-LMM ratio and hyperuricemia. Results The overall prevalence of hyperuricemia was 14.8% (8.9% in women, and 22.5% in men). After adjustment by age, smoking status (for males), menopause status (for females), drinking status, exercise frequency, blood pressure, alanine aminotransferase, fasting plasma glucose, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, creatinine, and history of diseases, a strong positive association was found between the VFA-to-LMM ratio and hyperuricemia in both men (4th vs. 1st quartile 1.60, 95%CI: 1.03–2.49) and women (4th vs. 1st quartile 5.22, 95%CI: 2.44–12.56). After additional adjustment by BMI, there was still a significant positive association in women (4th vs. 1st quartile 2.57, 95%CI: 1.06–6.77). The results of subgroup analysis showed that pre-menopausal women (4th vs. 1st quartile OR: 3.61) have a higher risk of hyperuricemia than postmenopausal women (4th vs. 1st quartile OR: 1.94) with the increase of the VFA-to-LMM ratio. Besides, the interaction analysis results showed the highest risk of hyperuricemia when VFA and LMM were both in the highest quantile (OR: 11.50; 95% CI: 4.86–31.98). Conclusion The VFA-to-LMM ratio was positively associated with the risk of hyperuricemia in women after adjustment by confounders. Pre-menopausal women have a higher risk of hyperuricemia than postmenopausal women with the increase of the VFA-to-LMM ratio. In addition, the highest risk of hyperuricemia was demonstrated when both VFA and LMM were at the highest quartile.

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