scholarly journals Field methods in the evaluation of obesity in children and adolescents

2009 ◽  
Vol 9 (1) ◽  
pp. 21-29 ◽  
Author(s):  
Míriam Akemi Sampei ◽  
Dirce Maria Sigulem
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Direct Relationship ◽  
Near Infrared ◽  
Field Methods ◽  
Large Samples ◽  
Infrared Methods ◽  
Better Than

In large samples, the methods for obtaining information on obesity need to be simple, inexpensive and reasonably accurate. This review deals with articles focusing on various field methods for the evaluation of body composition. The Bioimpedance and Near Infrared methods are simple to execute but their advantage in relation to Body Mass Index is obscure. Although the Bioimpedance and near infrared methods provide estimates of fat content, they may be no better than waist circumference measurements. The latter does not distinguish body fat but points to a more direct relationship concerning health risk. Regardless of the advantages, waist circumference continues to be under discussion: there is a lack of standardization and no reference populations or cutoff points have been established. No perfect method exists, but the number of errors could be reduced, if care were taken in drawing up protocols, standardization, and the analysis of sample properties.

scholarly journals High skeletal muscle mass is associated with increased serum 25(OH)D levels in elderly

2017 ◽  
Vol 36 (3) ◽  
pp. 236
Author(s):  
Verawati Sudarma ◽  
Lukman Halim
Keyword(s):  
Skeletal Muscle ◽  
Body Mass Index ◽  
Vitamin D ◽  
Body Composition ◽  
Waist Circumference ◽  
Linear Regression ◽  
Muscle Mass ◽  
Body Fat ◽  
Skeletal Muscle Mass ◽  
Anthropometric Measurements

Background<br />Low vitamin D has been associated with various health problems. Aging influences body composition, especially body fat and fat-free mass. Anthropometric measurements, such as body weight (BW), body mass index (BMI), body fat (BF), skeletal muscle mass (SMM), waist circumference (WC) and the waist-height ratio (WHtR) represent body composition which many studies proposed will influence serum vitamin D [25(OH)D]. The objective of the present study was to determine which anthropometric measurements were determinants of 25(OH)D levels in elderly.<br /><br />Methods<br />A cross-sectional study was conducted involving 126 elderly (&gt;60 years old) men and women at Pusat Santunan Dalam Keluarga (PUSAKA) Central Jakarta centers. Anthropometric measurements [body mass index (BMI), skeletal muscle mass (SMM), body fat (BF), and waist circumference (WC)] were determined by bioelectrical impedance analysis using the Omron body composition monitor with scales (HBF-375, Omron, Japan). Fasting blood samples were taken to measure 25(OH)D level by electrochemiluminescence immunoassay. Multivariate linear regression was used to analyze the data.<br /><br />Results <br />The data showed that BMI, BF, and WC were higher than recommended, while SMM and serum 25(OH)D were lower. When the analysis was done based on sex, there were significant differences in BF, SMM, WHtR, and serum 25(OH)D. In the linear regression multivariate analysis of log 25(OH)D with age and body anthropometric measurements, only SMM reached significance level (β=0.019; p=0.025).<br /><br />Conclusions<br />This study demonstrated a positive association between skeletal muscle mass and serum levels of vitamin D in elderly.

scholarly journals Peculiarities of Physical Fitness and Body Composition of 5—7 Year-Old Children of Several Kaunas Preschools and Interaction between those Indexes

2018 ◽  
Vol 2 (73) ◽  
Author(s):  
Sandrija Čapkauskienė ◽  
Kristina Visagurskienė ◽  
Rima Bakienė ◽  
Irena Vitkienė ◽  
Daiva Vizbaraitė
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Waist Circumference ◽  
Physical Fitness ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Body Fat Mass ◽  
Percentage Body Fat ◽  
General Physical

Childhood obesity is a key public health issue around the globe in developed and developing countries (Dugan, 2008). The recent worldwide increase in the prevalence of childhood obesity may be due in part to a decrease in children’s physical activity levels (Ball et al., 2001). It is necessary to develop early interventions to improve physical fitness in children and to prevent the increase of childhood obesity (Brunet et al., 2006). So, the aim of this study was to evaluate the body composition and physical fitness of children aged 5—7 years and to estimate the interaction between body composition components and physical fitness tests. Participants: 216 children participated in this study: 104 girls, mean age 5.90 ± 0.63 years and 112 boys — mean age 5.98 ± 0.50 years from Kaunas city (Lithuania) preschools. Methods: all the subjects have been measured for their height, body mass, waist circumference (WC) and skinfolds at 2 different places — triceps and subscapular. Body mass index (BMI) and percentage body fat mass (BFM) were evaluated. All the participants did four physical fitness tests including speed shuttle run, 20 meters distance run, standing long jump and throwing 1 kg ball. General physical fitness level was evaluated based on B. Sekita (1988) methods. Results. Results showed that BMI did not significantly differ between boys and girls, and was evaluated as “optimal” for both groups. BFM was significantly higher in girls (p < 0.001), and WC did not differ between genders. But WC had a tendency to increase with age in both boys and girls. Strong relationship was observed between BMI and BFM (r = 0.660, r = 0.660 respectively; p < 0.01), and between BMI and WC (r = 0.703, r = 0.826 respectively; p < 0.01) for both boys and girls. The results of physical tests showed that boys did all the tests better than girls (p < 0.01). When we evaluated the general physical fitness of each child, the results indicated that their physical fitness waslow, evaluated as “good enough” for most boys and girls. General physical fitness of children negatively but slightly correlated with BFM (r = –0.201; p < 0.001), it indicated that higher BFM determined lower evaluation of general physical fitness.Conclusions. Optimal body weight, according to body mass index, percentage body fat mass and waist circumference, was established for the bigger part of children, aged 5—7 years old. This study shows that physical fitness of children was low — evaluated as “good enough” and negatively correlated with body fat mass, showing that high body fat mass negatively impacted physical fitness.Key words: body mass index, percentage body fat mass, waist circumference, physical fitness.

scholarly journals Trends in obesity and adiposity measures by race or ethnicity among adults in the United States 2011-18: population based study

BMJ ◽  
2021 ◽  
pp. n365
Author(s):  
Buyun Liu ◽  
Yang Du ◽  
Yuxiao Wu ◽  
Linda G Snetselaar ◽  
Robert B Wallace ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Ethnic Groups ◽  
Body Mass ◽  
Body Fat ◽  
Lean Mass ◽  
The United States ◽  
Population Based ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.

Pre-pregnancy body mass index is associated with offspring body composition in adulthood before adiposity-related disorders: a retrospective cohort

2020 ◽  
pp. 1-17
Author(s):  
Ilana Eshriqui ◽  
Angélica Marques Martins Valente ◽  
Luciana Dias Folchetti ◽  
Bianca de Almeida-Pititto ◽  
Sandra Roberta G. Ferreira
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Retrospective Cohort ◽  
Statistical Significance ◽  
Directed Acyclic Graphs ◽  
Health Study ◽  
Appendicular Skeletal Muscle ◽  
Three Body

Abstract Objective: To investigate the association between maternal pre-pregnancy body mass index (BMI) and offspring body composition in adulthood. Design: Retrospective cohort. Undergraduates of nutrition or nutritionists were recruited at the baseline of the Nutritionists’ Health Study between 2014 and 2017. Maternal pre-pregnancy BMI and current life aspects were self-reported through online questionnaires. Three body compartments were DXA-determined. The following variables were obtained: body-fat (%), fat mass index (FMI) (kg/m2), android-to-gynoid fat ratio, visceral adipose tissue (VAT) (cm3), appendicular skeletal muscle mass index (ASMI) (kg/m2), total bone and femur mineral content (g) and density (g/cm2). Linear regression adjusted according to directed acyclic graphs recommendation was performed. Setting: São Paulo, Brazil. Participants: Healthy non-pregnant women (aged 20-45 years) (n=150). Results: Median age and BMI were 22 years (IQR=20; 29) and 22.3 kg/m2 (IQR=20.4; 25.3). Pre-pregnancy BMI≥25 kg/m2 was reported by 14.7% of mothers. In fully adjusted models, maternal pre-pregnancy BMI was associated with their daughters’ body-fat % (β=0.31; 95%CI=0.0004; 0.63), FMI (β=0.17; 95%CI=0.03; 0.30, android-to-gynoid ratio (β=0.01; 95%CI=0.004; 0.02) and VAT (β=0.09; 95%CI=0.02; 0.16), but not with total bone density (β=0.001; 95%CI=-0.003; 0.006) and content (β=7.13; 95%CI=-4.19; 18.46). Direct association with ASMI was also detected, but lost statistical significance when participants whose mothers were underweight were excluded. Conclusions: Maternal pre-pregnancy body mass index was directly associated with offspring general and visceral adiposity but seem not to be associated with bone mass. Results reinforce importance of avoiding excess of maternal adiposity, as an attempt to break the vicious cycle of obesity transmission.

scholarly journals Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentage in middle-aged and elderly Taiwanese

Medicine ◽  
2017 ◽  
Vol 96 (39) ◽  
pp. e8126 ◽  
Author(s):  
Yiu-Hua Cheng ◽  
Yu-Chung Tsao ◽  
I-Shiang Tzeng ◽  
Hai-Hua Chuang ◽  
Wen-Cheng Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Middle Aged ◽  
Fat Percentage ◽  
Total Body Fat ◽  
Total Body

The Influence of Age, Sex and Body Mass Index on the Effectiveness of Brisk Walking for Obesity Management in Adults: A Systematic Review and Meta-Analysis

2017 ◽  
Vol 14 (5) ◽  
pp. 389-407 ◽  
Author(s):  
Leon Mabire ◽  
Ramakrishnan Mani ◽  
Lizhou Liu ◽  
Hilda Mulligan ◽  
David Baxter
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Waist Circumference ◽  
Body Fat ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Body Fat Percentage ◽  
Brisk Walking ◽  
Obesity Management ◽  
Fat Percentage

Background:Brisk walking is the most popular activity for obesity management for adults. We aimed to identify whether participant age, sex and body mass index (BMI) influenced the effectiveness of brisk walking.Methods:A search of 9 databases was conducted for randomized controlled trials (RCTs). Two investigators selected RCTs reporting on change in body weight, BMI, waist circumference, fat mass, fat-free mass, and body fat percentage following a brisk walking intervention in obese adults.Results:Of the 5072 studies screened, 22 met the eligibility criteria. The pooled mean differences were: weight loss, –2.13 kg; BMI, –0.96 kg/m2; waist circumference, –2.83 cm; fat mass, –2.59 kg; fat-free mass, 0.29 kg; and body fat percentage, –1.38%. Meta-regression of baseline BMI showed no effect on changes.Conclusions:Brisk walking can create a clinically significant reduction in body weight, BMI, waist circumference, and fat mass for obese men and women aged under 50 years. Obese women aged over 50 years can achieve modest losses, but gains in fat-free mass reduce overall change in body weight. Further research is required for men aged over 50 years and on the influence of BMI for all ages and sexes.

scholarly journals Body Fat Percentage, Waist Circumference and Body Mass Index are Correlated with Nitric Oxide Levels in Young Adults with Central Obesity

2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Feriyandi Nauli ◽  
Nurhasanah Nurhasanah ◽  
Endang Mahati ◽  
Udin Bahrudin
Keyword(s):  
Nitric Oxide ◽  
Body Mass Index ◽  
Young Adults ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Central Obesity ◽  
Subcutaneous Fat ◽  
Body Fat Percentage ◽  
Fat Percentage

Background: Central obesity stands for the corner-stone of cardio-metabolic health, while nitric oxide (NO) is a major regulator of cardiovascular function. To day, the correlation between serum NO metabolites nitrate/nitrite and the obesity components in young adults remains elusive. Thus, this current study was conducted to know the correlation between serum NO metabolites levels and body fat percentage, waist circumference (WC) as well as body mass index (BMI) in young adults with central obesity.Materials and Methods: A cross-sectional study was conducted in Riau, Indonesia, involving 79 young adults aged 18-25 years, composing of 39 and 40 subjects with and without central obesity, respectively. Anthropometric measurements were performed to assess WC and BMI. Body fat percentage was measured using bioelectrical impedance analysis and serum NO metabolites levels were assessed using Griess methods.Results: Levels of serum NO metabolites were significant higher in the subjects with central obesity (168.41±12.64 μmol/L) than that of normal subjects (70.57±44.99 μmol/L, p<0.001), but the levels were no significant different between male and female subjects. Serum NO metabolites levels were strongly correlated with total body fat (r=0.618, p<0.001), visceral fat (r=0.733, p<0.001), subcutaneous fat (r=0.547, p<0.001), WC (r=0.717, p<0.001) and BMI (r=0.788, p<0.001).Conclusions: For young adults in Riau, Indonesia, levels of serum NO metabolites are higher in the central obesity group than that of the normal. In this population, body fat percentage, waist circumference and body mass index are correlated with serum nitric oxide metabolites levels.Keywords: nitric oxide, body fat percentage, young adults, central obesity

scholarly journals Which is a better marker for overweight: waist height ratio or waist circumference?

2019 ◽  
Vol 7 (2) ◽  
pp. 462
Author(s):  
Sanam Anwar ◽  
Bushra Aleem ◽  
Hajir H. Rashid ◽  
Ghadeer J. Moslhey
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Fat ◽  
Roc Curve ◽  
Nutritional Assessment ◽  
Height Ratio ◽  
Overweight People ◽  
Prevalence Of Obesity ◽  
Males And Females ◽  
Waist Height Ratio

Background: The global prevalence of obesity has been increasing. Body mass index, waist circumference and waist height ratio have been widely used for nutritional assessment. Waist height ratio has the advantage of taking into account abdominal obesity as well as height associated with body fat accumulation or distribution. The objective of this study was to suggest cut off points for waist circumference and waist height ratio to identify overweight in Omani adults.Methods: Weight, height, waist circumference and waist height ratio were measured for all participants. Pearson’s correlation was used to determine correlation of BMI with waist circumference and waist height ratio. ROC curve was used to identify AUC and specific cut off point for anthropometric indicators.Results: The largest proportion of overweight was picked up by waist height ratio across both the genders. Correlation of BMI with waist height ratio was stronger (r=0.699) than correlation with waist circumference (r=0.589) for both the genders. Maximum AUC was for waist height ratio in males (AUC=0.833, 95% CI=0.791-0.875). The specific cut off point for waist circumference in males and females was 89.5cm and 87.6cm respectively. The specific cut off point for waist height ratio in males and females was 0.53 and 0.57 respectively.Conclusions: Maximum participants were found overweight by waist height ratio followed by waist circumference and the least by BMI. The higher cut off points should be used in this population for identifying overweight people.

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