scholarly journals Sleep duration is associated with body fat and muscle mass and waist-to-height ratio beyond conventional obesity parameters in Korean adolescent boys

2017 ◽  
Vol 26 (4) ◽  
pp. 444-452 ◽  
Author(s):  
Ga Eun Nam ◽  
Kyungdo Han ◽  
Do Hoon Kim ◽  
Jee Hyun Lee ◽  
Won Hee Seo
Keyword(s):  
Muscle Mass ◽  
Sleep Duration ◽  
Body Fat ◽  
Adolescent Boys ◽  
Height Ratio ◽  
Waist To Height Ratio ◽  
Korean Adolescent

scholarly journals Sedentary Time, Physical Activity, and Sleep Duration: Associations with Body Composition in Fibromyalgia. The Al-Andalus Project

2019 ◽  
Vol 8 (8) ◽  
pp. 1260 ◽  
Author(s):  
Blanca Gavilán-Carrera ◽  
Pedro Acosta-Manzano ◽  
Alberto Soriano-Maldonado ◽  
Milkana Borges-Cosic ◽  
Virginia A. Aparicio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Physical Fitness ◽  
Muscle Mass ◽  
Sleep Duration ◽  
Body Fat ◽  
Regression Models ◽  
Sedentary Time ◽  
Body Fat Percentage ◽  
Fat Percentage

To explore the individual–independent relationships of sedentary time (ST) and physical activity (PA) (light and moderate-to-vigorous intensity (MVPA)), with sleep duration and body composition (waist circumference, body mass index (BMI), body fat percentage, and muscle mass index) in women with fibromyalgia, and to determine whether these associations are independent of physical fitness. This cross-sectional study involved 385 women with fibromyalgia. ST and PA were assessed by triaxial accelerometry, sleep duration was self-reported. Waist circumference was measured using an anthropometric tape, and body weight, body fat percentage, and muscle mass were estimated using a bio-impedance analyzer. In individual regression models, ST and sleep were directly associated with waist circumference, BMI, and body fat percentage (β between 0.10 and 0.25; all p < 0.05). Light PA and MVPA were inversely associated with waist circumference, BMI, and body fat percentage (β between −0.23 and −0.12; all p < 0.05). In multiple linear regression models, ST (β between 0.17 and 0.23), light PA (β between −0.16 and −0.21), and sleep duration (β between 0.11 and 0.14) were independently associated with waist circumference, BMI, and body fat percentage (all p < 0.05). MVPA was associated with waist circumference independent of light physical activity (LPA) and sleep duration (β = −0.11; p < 0.05). Except for MVPA, these associations were independent of physical fitness. These results suggest that longer ST and sleep duration, and lower PA levels (especially light intensity PA), are independently associated with greater adiposity, but not muscle mass, in women with fibromyalgia. These associations are, overall, independent of physical fitness.

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.

Subcutaneous adipose tissue distribution and telomere length

2019 ◽  
Vol 57 (9) ◽  
pp. 1358-1363 ◽  
Author(s):  
Harald Mangge ◽  
Wilfried Renner ◽  
Gunter Almer ◽  
Hans-Jürgen Gruber ◽  
Sieglinde Zelzer ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Regression Analysis ◽  
Body Fat ◽  
Subcutaneous Adipose Tissue ◽  
Percent Body Fat ◽  
Hip Circumference ◽  
Height Ratio ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio ◽  
Subcutaneous Adipose

Abstract Background Overweight and obese individuals have a reduced life expectancy due to cardiovascular disease (CVD), type 2 diabetes, stroke and cancer. Systemic inflammation and premature telomere shortening have been discussed as potential mechanisms linking these conditions. We investigated the relation of subcutaneous adipose tissue (SAT) distribution to leukocyte relative telomere length (RTL). Methods We measured RTL in 375 participants of the observational STYJOBS/EDECTA cohort (ClinicalTrials.gov Identifier NCT00482924) using a qPCR based method. SAT distribution was determined by lipometry yielding a percent body fat value and SAT thicknesses at 15 standardized locations across the entire body. A correlation analysis between RTL, age, sex, lipometry data and conventional body measures (body mass index [BMI], waist-, hip circumference, waist-to-hip ratio, waist-to-height ratio) was calculated. The strongest determinants of RTL were determined by a stepwise multiple regression analysis. Results RTL was not associated with age or sex. RTL was significantly negatively correlated with BMI, percent body fat, waist-, hip circumference and waist-to-height ratio. Furthermore, RTL correlated with SAT at the following locations: neck, triceps, biceps, upper back, front chest, lateral chest, upper abdomen, lower abdomen, lower back, hip, front thigh, lateral thigh, rear thigh and calf. Stepwise regression analysis revealed nuchal and hip SAT as the strongest predictors of RTL. No significant association was seen between RTL and waist-to-hip ratio. Conclusions RTL is negatively associated with parameters describing body fat composure. Nuchal and hip SAT thicknesses are the strongest predictors of RTL. Central obesity appears to correlate with premature genomic aging.

scholarly journals BMI, waist-to-height ratio and body fat mass in older adults: results from the Pronutrisenior project

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Flora Correia ◽  
Bruno M. P. M. Oliveira ◽  
Rui Poínhos ◽  
Anzhela Sorokina ◽  
Cláudia Afonso ◽  
...  
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Body Fat ◽  
Fat Mass ◽  
Adult Population ◽  
Body Fat Mass ◽  
Height Ratio ◽  
Waist To Height Ratio ◽  
Older Adult Population ◽  
Geographical Characteristics

AbstractNear 20% of the Portuguese population is aged 65 years or above, a value similar to most developed countries. This older adult population also suffers from obesity and obesity-related pathologies. The environment encompasses a set of obesity determinants and knowing the associations between the environment and obesity may help health professionals and caregivers to provide for the older adults.In this study, we aimed to relate anthropometric measures with socio-demographic data in older adults.This is a cross-sectional study using data from the Pronutrisenior project, collected in Vila Nova de Gaia, Portugal. The sample consists of 456 older adults, aged 65 to 92 years without cognitive impairment. The sample consisted of older adults living at their homes. Socio-demographic, clinical, geographical, and anthropometric data was collected. The statistical analysis used IBM-SPSS-22.0 and consisted on descriptive statistics, Pearson correlations and UniANOVA. Significantly results (p < 0.05) are reported.These older adults were mostly females (54.2%) with a mean age of 73.8 years (sd = 6.3), mean body mass index (BMI) of 29.1kg/m2 (sd = 4.8), mean waist-to-height ratio (WHtR) of 0.623 (sd = 0.073) and mean percentage of body fat mass (%BFM) of 40.7% (sd = 8.9%) for females and 30.2% (sd = 8.5%) for males. BMI, WHtR and %BFM were positively correlated. In this sample of older adults, higher values of these measures were associated to being female, younger, less educated; to having articular pains and respiratory problems, and not having insomnia, hypertension, chewing problems nor hearing problems; to drink more liquids but not consuming dairy products daily; to not take nutritional supplements but to take more medicines; to be without somebody to talk to and to be more dependent; and to live in a house without stairs to climb and to live near other older adults, and in a more urbanized area with streets with steeper slopes.In this sample of older adults, obesity is related with health characteristics and those are related with socio-demographic and geographical characteristics of the area of residence. Besides the identification of risk factors for the older adult population, this information may help designing health care policies that takes in consideration the physical and geographical characteristics of the neighbourhood of the area of residence of the older adults.

scholarly journals Meal habits and anthropometric indicators in adolescents from public and private schools of the metropolitan region of Rio de Janeiro

2018 ◽  
Vol 31 (1) ◽  
pp. 35-47
Author(s):  
Mara Lima DE CNOP ◽  
Luana Silva MONTEIRO ◽  
Paulo Rogério Melo RODRIGUES ◽  
Camilla Chermont Prochnik ESTIMA ◽  
Gloria Valeria da VEIGA ◽  
...  
Keyword(s):  
Body Fat ◽  
Private Schools ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Height Ratio ◽  
Public And Private ◽  
Anthropometric Indicators ◽  
Waist To Height Ratio ◽  
Consumption Profile ◽  
Meal Consumption

ABSTRACT Objective To describe meal consumption habits and assess their associations with anthropometric indicators. Methods A cross-sectional study was performed on 1,749 elementary and high school students from public and private schools in the city of Rio de Janeiro, Brazil (mean age=15.3 years), who were selected for the baseline of the Longitudinal Study for Nutritional Assessment of Adolescents. Meal habits and meals consumed in the company of parents were assessed using a self-administered questionnaire. The consumption of the main meals was categorized as regular (daily) or irregular (≤6 times a week). The meal consumption profile was considered either satisfactory (breakfast, lunch, and dinner consumed on a daily basis) or unsatisfactory. Body Mass Index, waist-to-height ratio, and body fat percentage were calculated. The association between meal consumption habits and anthropometric indicators was estimated using multivariate logistic regression models, adjusted for age and sex and stratified according to the type of school. Results Regular lunch consumption was more frequent among private schools students, who also had higher frequency of eating dinner irregularly. Among students from private schools, the unsatisfactory meal consumption profile and irregular meal habits were associated with being overweight, having a high waist-to-height ratio, and increased body fat percentage. Among students from public schools, it was observed association between being overweight with irregular breakfast habits. Conclusion In adolescents, the association between meal habits and weight status may be modulated by socioeconomic condition.

scholarly journals Propriedade diagnóstica dos indicadores antropométricos na predição do excesso de gordura corporal estimado por meio do DXA em mulheres hipertensas

2017 ◽  
Vol 19 (3) ◽  
pp. 299
Author(s):  
Camila Tomicki ◽  
Aline Mendes Gerage ◽  
Raphael Mendes Ritti-Dias ◽  
Diego Augusto Santos Silva ◽  
Tânia Rosane Bertoldo Benedetti
Keyword(s):  
Body Fat ◽  
Roc Curve ◽  
Reference Method ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Cross Sectional ◽  
Anthropometric Indicators ◽  
Waist To Height Ratio ◽  
Total Fat ◽  
Conicity Index

Excess body fat is an important risk factor for the development of arterial hypertension. The aim of this study was to verify the diagnostic performance of anthropometric indicators in the prediction of excess body fat estimated by Dual-energy Radiometric Absorptiometry (DXA) in hypertensive women. A cross-sectional study with 71 hypertensive women (57.9 ± 10.1 years; 77.8 ± 15.1 kg; 156.8 ± 5.2 cm) was carried out. he anthropometric indicators analyzed were: Body Mass Index (BMI), Waist Circumference (WC), Waist-to-Hip Ratio (WHR), Waist-to-Height Ratio (WHtR) and Conicity Index (C Index). Body fat measured by DXA was used as the reference method. Descriptive statistics and ROC curve were used for data analysis. Comparing the anthropometric indicators with the percentage of total fat estimated by DXA, signiicant diferences were observed in BMI, WC and WHR (P <0.05). In relation to the percentage of trunk fat, a diference was identiied in BMI and WC (P <0.05). Among the anthropometric indicators analyzed, BMI (0.83), WC (0.79) and WHtR (0.80) had the largest areas under the ROC curve in relation to excess body fat determined by DXA. he cutof points were conservative in relation to those suggested in literature. Anthropometric indicators BMI (24.72 kg/m²), WC (87.81 cm) and WHtR (0.55) can be adopted in the evaluation of excess body fat in hypertensive women, since they demonstrated to be good predictors when confronted with DXA.

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