scholarly journals FRAILTY SYNDROME AND ANTHROPOMETRIC MEASUREMENTS IN THE ELDERLY LIVING AT HOME

2017 ◽  
pp. 1-7
Author(s):  
R.A. Partezani Rodrigues ◽  
J.R. Silva Fhon ◽  
V.M. Rojas Huayta ◽  
W.L. Fuentes Neira ◽  
M. de Lourdes de Farias Pontes ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
The Elderly ◽  
Anthropometric Measurements ◽  
Frailty Syndrome ◽  
Height Ratio ◽  
Anthropometric Measures ◽  
Waist Height Ratio ◽  
At Home

Disturbance in the nutritional status in the elderly can change anthropometric measurements. These changes on their body could associated with frailty syndrome. The aim was to assess the frailty syndrome and its association with demographic variables and anthropometric measures. Cross-sectional study with 235 elderly people living at home. Descriptive statistics applied were measures of central tendency and dispersion, with frequencies for the qualitative variables. Student’s t test was used to compare the means of sex with age, weight, height, waist circumference, waist/height ratio, body mass index and frailty and multinomial logistic regression analysis between categories of frailty and demographic and anthropometric variables. It was significant p≤0.05. There was a relationship between gender and body weight, waist circumference and the waist/height ratio; the data also showed that frailty increases with age. It was found that having a waist/height ratio ≥0.50 and a body mass index ≥27 increased the risk of frailty. The study shows that the association between frailty and anthropometric measures should be a priority in elderly care.

scholarly journals Independent and joint associations of body mass index, waist circumference, waist-height ratio and their changes with risks of hyperuricemia in middle-aged and older Chinese individuals: a population-based nationwide cohort study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Zonglei Zhou ◽  
Kunpeng Li ◽  
Xianzhi Li ◽  
Rongsheng Luan ◽  
Ruzhen Zhou
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Waist Circumference ◽  
Body Mass ◽  
Middle Aged ◽  
Height Ratio ◽  
Body Adiposity ◽  
Adiposity Indices ◽  
Joint Associations ◽  
Waist Height Ratio

Abstract Background Previous reports regarding the predictive power of adiposity indices remain inconsistent, and longitudinal studies on this top are limited. The associations of hyperuricemia risk with changes in obesity status, as well as the joint effects of baseline adiposity indices and body adiposity change on hyperuricemia risk are not fully elucidated. This study aimed to explore the independent and joint associations of baseline adiposity indicators and body adiposity change with hyperuricemia risk among middle-aged and older population in China. Methods A total of 2895 participants aged ≥ 45 years from the baseline survey of the China Health and Retirement Longitudinal Study were followed up for 4 years. Anthropometric parameters (weight, height, and waist circumference) and serum uric acid were obtained using standard devices. Adjusted odds ratio and 95% confidential interval were calculated to estimate the associations between predictor variables and hyperuricemia risk using multivariate logistic regression. Results Of the 2895 participants, 293 (10.12%) cases of hyperuricemia were identified. Increased baseline body mass index (BMI), waist circumference, and waist-height ratio (WHtR) were significantly associated with higher risks of hyperuricemia. A slightly greater but non-significant area under the curve value was observed for waist circumference (0.622) than for BMI (0.611) and WHtR (0.614) (P = 0.447). Compared to subjects with stable adiposity status, participants with weight loss of ≥ 4 kg or waist circumference loss of ≥ 6 cm had a 56% or 55% lower risk of hyperuricemia, and those with weight gain of > 4 kg had a 1.62-fold higher risk of hyperuricemia. Compared to those without obesity, participants with incident or persistent obesity were more likely to develop hyperuricemia. Additionally, regardless of stable or increased weight/waist circumference during follow-up, individuals with obesity at baseline had a higher risk of incident hyperuricemia. Conclusion This study demonstrates that BMI, waist circumference, and WHtR equally predict the development of hyperuricemia, and weight loss and waist circumference reduction are favorable in preventing hyperuricemia.

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 Prevalence of hypertension and its association with anthropometric parameters in adult population of Raipur city, Chhattisgarh, India

2017 ◽  
Vol 5 (5) ◽  
pp. 2120 ◽  
Author(s):  
Prem S. Panda ◽  
Kamlesh K. Jain ◽  
Gopal P. Soni ◽  
Shubhra A. Gupta ◽  
Srishti Dixit ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Adult Population ◽  
Public Health Problem ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Waist Hip Ratio ◽  
Waist Height Ratio

Background: Obesity is now an important emerging public health problem in India. It is one of the major risk factor for hypertension. Overweight persons have two to six fold increase in the risk of developing hypertension. This study was carried out with objective to find out prevalence of Hypertension and assess its association with four obesity-related indices- body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR).Methods: A cross-sectional community-based study was done among 640 study subjects of age group 25-59 years during July 2015 to June 2016. Multi stage random sampling method was used. Data collection was done using WHO STEPS instrument V 3.1. Privacy and confidentiality of data was maintained. Data was entered in the Microsoft excel, collected data was checked for its completeness and correctness before data analysis with the help of PSPP software.Results: Prevalence of hypertension among study subjects was found to be 22.19% (142 out of 640).With respect to body mass index, waist circumference, waist hip ratio and waist height ratio, 4.38%, 64.35%, 85.33%, 76.2% were found to be obese respectively. Hypertension was strongly associated with BMI (p<0.001), waist circumference (p<0.001), waist hip ratio (p<0.05), waist height ratio (p<0.05). Out of the four anthropometric variables waist hip ratio (WHR) was most strongly associated with hypertension (β=420.236, p=0.007).Conclusions: The study shows a rising burden of hypertension among study population. As WHR is the best indicator for measuring obesity, so measurement of WHR should be made compulsory in healthy life style clinics along with other parameters.

scholarly journals Body Composition Indices and Predicted Cardiovascular Disease Risk Profile among Urban Dwellers in Malaysia

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Tin Tin Su ◽  
Mohammadreza Amiri ◽  
Farizah Mohd Hairi ◽  
Nithiah Thangiah ◽  
Maznah Dahlui ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Body Composition ◽  
Waist Circumference ◽  
Body Mass ◽  
Risk Profile ◽  
Kuala Lumpur ◽  
Height Ratio ◽  
Cvd Risk ◽  
Waist Height Ratio

Objectives. This study aims to compare various body composition indices and their association with a predicted cardiovascular disease (CVD) risk profile in an urban population in Kuala Lumpur, Malaysia.Methods. A cross-sectional survey was conducted in metropolitan Kuala Lumpur, Malaysia, in 2012. Households were selected using a simple random-sampling method, and adult members were invited for medical screening. The Framingham Risk Scoring algorithm was used to predict CVD risk, which was then analyzed in association with body composition measurements, including waist circumference, waist-hip ratio, waist-height ratio, body fat percentage, and body mass index.Results. Altogether, 882 individuals were included in our analyses. Indices that included waist-related measurements had the strongest association with CVD risk in both genders. After adjusting for demographic and socioeconomic variables, waist-related measurements retained the strongest correlations with predicted CVD risk in males. However, body mass index, waist-height ratio, and waist circumference had the strongest correlation with CVD risk in females.Conclusions. The waist-related indicators of abdominal obesity are important components of CVD risk profiles. As waist-related parameters can quickly and easily be measured, they should be routinely obtained in primary care settings and population health screens in order to assess future CVD risk profiles and design appropriate interventions.

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