scholarly journals Percentile Curves for Body-Mass Index, Waist Circumference, Waist-To-Height Ratio and Waist-To-Height Ratio(Exp) in Croatian Adolescents

2019 ◽  
Vol 16 (11) ◽  
pp. 1920 ◽  
Author(s):  
Martin Zvonar ◽  
Lovro Štefan ◽  
Mario Kasović
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Height Ratio ◽  
School Students ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Percentile Curves ◽  
Percentile Curve ◽  
Waist To Height Ratio

Purpose: The main purpose of the present study was to establish percentile curves for body-mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and WHtR(exp) in adolescents. Methods: In this cross-sectional study, we recruited 1036 secondary-school students aged 15 to 18 years from eight randomly selected schools (55.3% girls). BMI, WC, WHtR and WHtR(exp) were calculated using standardized measuring protocol. The sex- and age-specific smoothed percentile curves with 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentile for each anthropometric measure were constructed using Cole’s LMS method. Results: In boys, both BMI and WC percentile curves increased by age, yet the 95th percentile curve for WHtR and WHtR(exp) decreased by age. In girls, the 95th percentile curve for BMI remained unchanged through the age of 15 to 18 years, yet the 90th and 95th percentile curves for WC and WHtR decreased by age. Conclusion: This is the first study in Croatia to establish combined BMI, WC, WHtR and WHtR(exp) percentile curves and add some new insight on anthropometric measures in 15- to 18-year-old adolescents.

scholarly journals Malnutrition associated with inflammation in the chronic renal patient on hemodialysis

2018 ◽  
Vol 64 (9) ◽  
pp. 837-844 ◽  
Author(s):  
Hákylla Rayanne Mota de Almeida ◽  
Eduila Maria Couto Santos ◽  
Keila Dourado ◽  
Cláudia Mota ◽  
Rafaella Peixoto
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Nutritional Status ◽  
Body Mass ◽  
Neck Circumference ◽  
Height Ratio ◽  
Cross Sectional ◽  
Low Frequencies ◽  
Waist To Height Ratio ◽  
Inflammation Score

SUMMARY INTRODUCTION Malnutrition-Inflammation-Atherosclerosis Syndrome is very frequent in patients with chronic kidney disease on haemodialysis. In these patients, the inflammation associated with malnutrition is observed by the Malnutrition-Inflammation Score. OBJECTIVE To analyse the relationship between malnutrition-inflammation-atherosclerosis syndrome and anthropometric and biochemical parameters of patients on haemodialysis. METHODS A cross - sectional study was performed at the Haemodialysis Clinic of the Barão de Lucena Hospital, Recife, Brazil, between July and August 2016, with patients cared at the clinic for at least six months. Patients with amputees, hospitalized, visually impaired, HIV positive, with catheters in the neck, ascites and/or oedema, and those who were unable to provide information at the time of the interview were excluded. The patients were submitted to anthropometric evaluation for the classification of the nutritional status by waist circumference, neck circumference, body mass index, waist-to-hip ratio and waist-to-height ratio. Nutritional status related to inflammation was measured by the Malnutrition-Inflammation Score and nutritional status assessment using biochemical indicators that used urea, creatinine and albumin. RESULTS Twenty-seven individuals of both genders, adults and elderly, aged 51.3 ± 13.3 years old participated in the study. The anthropometric evaluation showed that most of the population presented cardiovascular risk. The biochemical evaluation reported low frequencies of malnutrition. Malnutrition-Inflammation-Atherosclerosis syndrome was evidenced in 3.7% of the patients. The Malnutrition-Inflammation Score had a moderate negative correlation with body mass index, waist circumference, neck circumference, waist-to-height ratio and creatinine. CONCLUSION The correlation seen among the parameters suggests that most of the parameters evaluated can be used as an indirect indicator of malnutrition-inflammation-atherosclerosis syndrome.

Waist-to-Height Ratio Is a Better Predictor of Hyperuricemia than Body Mass Index and Waist Circumference in Chinese

2019 ◽  
Vol 75 (3) ◽  
pp. 187-194 ◽  
Author(s):  
Zhi-pei Huang ◽  
Bi-xia Huang ◽  
Hui Zhang ◽  
Ming-fan Zhu ◽  
Hui-lian Zhu
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Linear Trend ◽  
Roc Curves ◽  
Height Ratio ◽  
Cross Sectional ◽  
Predictive Values ◽  
Significant Difference ◽  
Waist To Height Ratio

Objective: Our study aimed to compare the predictive value of waist-to-height ratio (WHtR) for hyperuricemia with body mass index (BMI) and waist circumference (WC). Methods: This is a cross-sectional study of 9,206 South China residents (male/female: 4,433/4,773) aged 18–89 years recruited during years 2009–2010 and 2014–2015. Anthropometric measurements, serum uric acid, blood pressure, and plasma glucose, lipid, lipoprotein, and transferase levels were measured. Receiver operating characteristic (ROC) curve and logistic regression analyses were applied to evaluate the predictive values of anthropometric indices for hyperuricemia. Results: The prevalence of hyperuricemia increased significantly with higher quartiles of WHtR in both genders. The best cutoff points of WHtR to predict hyperuricemia are 0.52 for men and 0.49 for women and differed between different BMI and WC stratums. Although there was no significant difference between the area under the ROC curves, subjects in the top quartile of WHtR were at a highest risk of hyperuricemia (p for linear trend <0.001) and the adjusted ORs of WHtR (2.24–2.77 in men and 2.66–4.95 in women) were higher than those of BMI or WC in the multivariable regression model. Conclusions: WHtR was an independent and better predictor of hyperuricemia compared with BMI and WC.

scholarly journals HUBUNGAN LINGKAR PINGGANG, RASIO LINGKAR PINGGANG TERHADAP TINGGI BADAN DAN INDEKS MASSA TUBUH DENGAN KADAR ASAM URAT WANITA USIA 45-55 TAHUN

2017 ◽  
Vol 6 (4) ◽  
pp. 357
Author(s):  
Mawarni Uli Rizki ◽  
Enny Probosari ◽  
Choirun Nissa
Keyword(s):  
Body Mass Index ◽  
Uric Acid ◽  
Waist Circumference ◽  
Body Mass ◽  
Prevalence Ratio ◽  
Simple Random Sampling ◽  
Height Ratio ◽  
Cross Sectional ◽  
Waist To Height Ratio ◽  
Cross Sectional Design

Background: Hiperuricemia  is a risk factor of degenerative diseases and metabolic syndrome. Elevated levels of uric acid are known to be linked with central obesity. Obesity can be determined by anthropometric measurements such as waist circumference, waist-to-height ratio and Body mass index. This study aimed to determine the correlation of waist circumference, waist-to-height ratio and body mass index with uric acid levels in women aged 45-55 years old. Method: This was an observational study with the cross-sectional design. Forty-six subjects were selected using simple random sampling. The measured anthropometric indices were height, weight and waist circumference. Colorimetry method was used to measure blood uric acid levels. Data were analyzed by Fisher exact and Multiple Logistic Regression test.  Result: A total of 19.6% (n=9) subjects had high uric acid levels. These subjects had waist circumferences of over 88 cm (37.5%), waist-to-height ratios that exceed 0.58 (31.6%) and body mass index >25,0 (25%).. There was a significant correlation between waist circumference with uric acid levels, with a prevalence ratio of 5.4 (CI 95% 1.13;25.8). On the contrary, there was no correlation between waist-to-height ratio and body mass index with uric acid levels. Conclusion: There was a significant correlation between waist circumference with uric acid levels. However, no correlation was found between waist to height ratio and body mass index with uric acid levels.

scholarly journals The Influence of Anthropometric Indices and Intermediary Determinants of Hypertension in Bangladesh

2021 ◽  
Vol 18 (11) ◽  
pp. 5646
Author(s):  
Sally Sonia Simmons ◽  
John Elvis Hagan ◽  
Thomas Schack
Keyword(s):  
Public Health ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Odds Ratio ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Anthropometric Indices ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

Hypertension is a major public health burden in Bangladesh. However, studies considering the underlying multifaceted risk factors of this health condition are sparse. The present study concurrently examines anthropometric parameters and intermediary factors influencing hypertension risk in Bangladesh. Using the 2018 World Health Organisation (WHO) STEPwise approach to non-communicable disease risk factor surveillance (STEPS) study conducted in Bangladesh and involving 8019 nationally representative adult respondents, bivariate and multivariate logistic regression analyses were performed to determine the association between anthropometrics, other intermediary factors and hypertension. The regression results were presented using the odds ratio (OR) and adjusted odds ratio (AOR) at 95% confidence intervals (CIs). The risk of hypertension was higher among females and males who were 40 years and older. However, among females, those who were age 60 years and older were more than twice and thrice more likely to be hypertensive compared to those in the younger age groups (18–39, 40–59). Females who were obese (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]) or had high waist circumference [WC] were twice as likely to be hypertensive. Males and females who were physically active, consuming more fruits and vegetables daily and educated had lower odds of developing hypertension. Key findings suggest that the association between anthropometric indices (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]), waist circumference [WC]), other intermediary determinants (e.g., education, physical activity) and hypertension exist across gender and with increasing age among adults in Bangladesh. Developing appropriate public health interventions (e.g., regular assessment of anthropometric parameters) for early identification of the risk and pattern of hypertension through appropriate screening and diagnosis is required to meet the specific health needs of the adult Bangladesh population.

scholarly journals Optimal cutoff values for anthropometric indices of obesity as discriminators of metabolic abnormalities in Korea: results from a Health Examinees study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sooyoung Cho ◽  
Aesun Shin ◽  
Ji-Yeob Choi ◽  
Sang Min Park ◽  
Daehee Kang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Metabolic Abnormalities ◽  
Height Ratio ◽  
Optimal Cutoff ◽  
Waist To Hip Ratio ◽  
Cutoff Values ◽  
Waist To Height Ratio ◽  
Conicity Index

Abstract Background Obesity is well known as a risk factor for cardiovascular disease. We aimed to determine the performance of and the optimal cutoff values for obesity indices to discriminate the presence of metabolic abnormalities as a primary risk factor for cardiovascular diseases in a Health Examinees study (HEXA). Methods The current study analyzed 134,195 participants with complete anthropometric and laboratory information in a Health Examinees study, consisting of the Korean population aged 40 to 69 years. The presence of metabolic abnormality was defined as having at least one of the following: hypertension, hyperglycemia, or dyslipidemia. The area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs) were calculated for body mass index, waist to hip ratio, waist to height ratio, waist circumference, and conicity index. Results The AUC of metabolic abnormalities was the highest for waist-to-height ratio (AUC [95% CIs], 0.677 [0.672–0.683] among men; 0.691 [0.687–0.694] among women), and the lowest for the C index (0.616 [0.611–0.622] among men; 0.645 [0.641–0.649] among women) among both men and women. The optimal cutoff values were 24.3 kg/m2 for the body mass index, 0.887 for the waist-to-hip ratio, 0.499 for the waist-to-height ratio, 84.4 cm for waist circumference and 1.20 m3/2/kg1/2 for the conicity index among men, and 23.4 kg/m2 for the body mass index, 0.832 for the waist-to-hip ratio, 0.496 for the waist-to-height ratio, 77.0 cm for the waist circumference and 1.18 m3/2/kg1/2 for the conicity index among women. Conclusion The waist-to-height ratio is the best index to discriminate metabolic abnormalities among middle-aged Koreans. The optimal cutoff of obesity indices is lower than the international guidelines for obesity. It would be appropriate to use the indices for abdominal obesity rather than general obesity and to consider a lower level of body mass index and waist circumference than the current guidelines to determine obesity-related health problems in Koreans.

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