scholarly journals Body fat indices for identifying risk of hypertension in Indian children

2019 ◽  
Vol 6 (5) ◽  
pp. 2116
Author(s):  
Vairamuthu G. S. ◽  
Thangavel A.
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Body Fat ◽  
Height Ratio ◽  
Indian Children ◽  
Skin Fold Thickness ◽  
Skin Fold ◽  
Triceps Skin Fold ◽  
Waist To Height Ratio ◽  
Triceps Skin Fold Thickness

Background: Studies in India shown high body fat indices were strongly associated with hypertension in Indian children, but such studies mostly not done in southern states of India. So, authors include children in Tamilnadu measure body fat indices and blood pressure to find which body fat index correlates closely with hypertension.Methods: Standing height was measured using stadiometer. Weight was measured using electronic scale. WC measured in standing position, by a stretch resistant.  WC above 90th centile will be considered as Adipose. Waist to height ratio optimal cut-off value is 0.44 for children. TSFT recorded using Harpenden caliper, on the non-dominant upper arm. Wrist circumference measured using stretch resistant tape.Results: In this study 2000 children were participated. More hypertensives are seen in 10 to 12 years(62) and 16 to 18 years(31).Increased weight correlated with hypertension. Study indicates waist circumference is significantly correlated with systolic BP p<0.003, diastolic BP p<0.000. This study shows significant correlation p<0.003 for systolic and p<0.000 for diastolic BP with triceps skin fold thickness estimation. In multivariate analysis with systolic blood pressure and diastolic blood pressure shows very strong correlation with waist circumference, waist to height ratio and triceps skin fold thickness.Conclusions: In this study we investigate the correlation between body fat indices and blood pressure correlation was statistically analyzed which shows that waist circumference, waist to height ratio and triceps skin fold thickness were strongly correlated with systolic and diastolic BP.

scholarly journals Body composition: population epidemiology and concordance in Australian children aged 11–12 years and their parents

BMJ Open ◽  
2019 ◽  
Vol 9 (Suppl 3) ◽  
pp. 95-105 ◽  
Author(s):  
Susan A Clifford ◽  
Alanna N Gillespie ◽  
Timothy Olds ◽  
Anneke C Grobler ◽  
Melissa Wake
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Correlation Coefficients ◽  
Home Visits ◽  
Overweight And Obesity ◽  
Height Ratio ◽  
Partial Correlations ◽  
Waist To Height Ratio ◽  
Parent Child

ObjectivesOverweight and obesity remain at historically high levels, cluster within families and are established risk factors for multiple diseases. We describe the epidemiology and cross-generational concordance of body composition among Australian children aged 11–12 years and their parents.DesignThe population-based cross-sectional Child Health CheckPoint study, nested within the Longitudinal Study of Australian Children (LSAC).SettingAssessment centres in seven major Australian cities and eight regional cities, or home visits; February 2015–March 2016.ParticipantsOf all participating CheckPoint families (n=1874), body composition data were available for 1872 children (49% girls) and 1852 parents (mean age 43.7 years; 88% mothers), including 1830 biological parent-child pairs.MeasuresHeight, weight, body mass index (BMI), waist circumference and waist-to-height ratio for all participants; body fat and fat-free mass by four-limb bioimpedence analysis (BIA) at assessment centres, or body fat percentage by two-limb BIA at home visits. Analysis: parent-child concordance was assessed using (i) Pearson’s correlation coefficients, and (ii) partial correlation coefficients adjusted for age, sex and socioeconomic disadvantage. Survey weights and methods accounted for LSAC’s complex sample design.Results20.7% of children were overweight and 6.2% obese, as were 33.5% and 31.6% of parents. Boys and girls showed similar distributions for all body composition measures but, despite similar BMI and waist-to-height ratio, mothers had higher proportions of total and truncal fat than fathers. Parent-child partial correlations were greatest for height (0.37, 95% CI 0.33 to 0.42). Other anthropometric and fat/lean measures showed strikingly similar partial correlations, ranging from 0.25 (95% CI 0.20 to 0.29) for waist circumference to 0.30 (95% CI 0.25 to 0.34) for fat-free percentage. Whole-sample and sex-specific percentile values are provided for all measures.ConclusionsExcess adiposity remains prevalent in Australian children and parents. Moderate cross-generational concordance across all measures of leanness and adiposity is already evident by late childhood.

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.

Assessment of overweight and obesity among Nigerian children and adolescents using triceps skin-fold thickness and body mass index

2013 ◽  
Vol 3 (3-4) ◽  
pp. 103-111
Author(s):  
A. N. Izuora ◽  
B. A. Animasahun ◽  
U. Nwodo ◽  
N. M. Ibeabuchi ◽  
O. F. Njokanma ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Body Mass ◽  
Overweight And Obesity ◽  
Skin Fold Thickness ◽  
Nigerian Children ◽  
Skin Fold ◽  
Triceps Skin Fold ◽  
Triceps Skin Fold Thickness

scholarly journals An Interrelationship between Blood Pressure, Body Roundness Index, Waist Circumference, and Waist to Height Ratio

2019 ◽  
Vol 5 ◽  
pp. 1
Author(s):  
Ashok K. Jeppu ◽  
Kavitha A. Kumar ◽  
◽  
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Cardiovascular Complications ◽  
Cross Sectional Study ◽  
The Body ◽  
Abdominal Adiposity ◽  
Height Ratio ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Waist To Height Ratio

Obesity is a global epidemic. Obesity related comorbidities include hypertension, diabetes, dyslipidemia, obstructive sleep apnea, and sudden death. Abdominal adiposity has been blamed for causing cardiovascular complications. The body roundness index (BRI) has been considered to be a superior anthropometric measure for abdominal adiposity. The aim of the study was to find the relationship of blood pressure in healthy individuals to BRI, waist circumference (WC), and waist to height Ratio (WHtR). It also tried to find out the relation of BRI to WC and WHtR. This cross-sectional study was conducted on 300 individuals aged between 18 and 60 years who were apparently healthy (not on any treatment or physical training) and willing to participate in this study. A structured questionnaire was used to collect the data. Parameters like height, weight, and WC were measured. BRI and WHtR were calculated. The data was analyzed using descriptive and inferential statistics. We observed that BRI was well correlated to the WC, body mass index (BMI), and WHtR. Both the systolic and diastolic blood pressure correlated well with BRI. BRI and WHtR, both are good parameters to evaluate the blood pressure of an individual.

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