scholarly journals Characterization of Cardiometabolic Risks in Different Combination of Anthropometric Parameters and Percentage Body Fat

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yuan-Yuei Chen ◽  
Wen-Hui Fang ◽  
Chung-Ching Wang ◽  
Tung-Wei Kao ◽  
Yaw-Wen Chang ◽  
...  
Keyword(s):  
Body Fat ◽  
Adult Population ◽  
High Body Mass Index ◽  
Anthropometric Parameters ◽  
Percentage Body Fat ◽  
High Waist Circumference ◽  
Adverse Health Outcomes ◽  
Individual Vulnerability ◽  
Prevalence Of Obesity ◽  
Top 40

Abstract The prevalence of obesity was increasing and became a growing problem worldwide. Obesity increased the risk of developing metabolic abnormalities and was associated adverse health outcomes. Our aim was to examine the associations among different combinations of obesity phenotypes (high body mass index > 27 kg/m2 (O), high waist circumference (male > 90 cm, female > 80 cm) (W), fatty liver (F) and percentage body fat in top 40% (P)) and cardiometabolic diseases (type 2 diabetes mellitus (DM), hypertension (HTN), metabolic syndrome (MetS)). A total of 48426 eligible subjects were categorized based on the different definitions. After adjusting for all covariables, participants with O + F + P combination were more likely associated with the presence of DM. Participants with O + W combination were more associated with the presence of HTN than others. Participants with O + W + F + P had higher risk for the presence of MetS than others. The study addressed the associations between different obesity phenotypes and DM and HTN in the adult population. Better understanding the pathophysiological mechanisms underlined individual vulnerability and progression of cardiometabolic insults.

Prevalence of obesity using the body mass index and equivalent age- and sex-specific thresholds for percentage body fat mass

2013 ◽  
Vol 7 ◽  
pp. e93
Author(s):  
Julie A. Pasco ◽  
Haslinda Gould ◽  
Kara L. Holloway ◽  
Amelia G. Dobbins ◽  
Mark A. Kotowicz ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
The Body ◽  
Body Fat Mass ◽  
Percentage Body Fat ◽  
Equivalent Age ◽  
Prevalence Of Obesity ◽  
Age And Sex

scholarly journals Perrcentage body fat and prevalence of obesity in a UK offshore population

1986 ◽  
Vol 56 (1) ◽  
pp. 97-104 ◽  
Author(s):  
I. M. Light ◽  
M Gibson
Keyword(s):  
Body Fat ◽  
Body Height ◽  
Age Groups ◽  
Population Census ◽  
Adult Males ◽  
Percentage Body Fat ◽  
Prevalence Of Obesity ◽  
The Uk ◽  
Index Weight ◽  
Quetelet Index

1. Body-weight, body height and skinfold measurements were taken in 419 adult males working in the UK offshsore oil industry. Percentage body fat was estimated from skinfold thicknesses and the Quetelet index (weight: height2) determined.2. The prevalence of overweightness, assessed from the Quetelet index, in the age groups 20–29, 30–39 and 40–49 years was 31.6, 50.0 and 66.2% respectively. The Office of Population Census and Surveys (1981) showed that for age-matched groups, the incidence of overweightness in an onshore population was 26, 40 and 50% respectively.3. The percentage body fat for each respective age group was greater than that reported for an age-matched onshore population.4. The Quetelet index was significantly related to body fat (r 0.765, P < 0.0001) and poorly correlated with height, thus this weight: height relation may be utilized in the assessment of overweightness in offshore personnel.5. In conclusion it appears that the offshore population had a higher percentage body fat than their onshore peers and that the prevalence of overweightness was also greater.

scholarly journals Comparison of obesity and metabolic syndrome prevalence using fat mass index, body mass index and percentage body fat

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245436
Author(s):  
Joseph C. Wong ◽  
Sheila O’Neill ◽  
Belinda R. Beck ◽  
Mark R. Forwood ◽  
Soo Keat Khoo
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Body Fat ◽  
Lean Mass ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Fat Mass Index ◽  
Percentage Body Fat ◽  
Age Related ◽  
Prevalence Of Obesity

Background Accurate obesity classification is important so that appropriate intervention can be instituted to modify metabolic risk factors. Commonly utilized body mass index (BMI) and percentage body fat (PBF) are influenced by lean mass whereas fat mass index (FMI) measures only body fat. This study compares the prevalence of obesity and metabolic risk factors with FMI, BMI and PBF using DXA (dual-energy x-ray absorptiometry). Methods 489 women randomly recruited from the electoral roll were stratified into 4 age groups; 40–49, 50–59, 60–69 and 70–79 years from 2000 to 2001. Clinical data and DXA body composition were obtained. Statistical analyses were performed using Medcalc v15 (Ostend, Belgium) with significance level at p = 0.05 (two-tailed). Results There was higher prevalence of obesity using PBF compared to BMI and FMI (p<0.001). This difference was greater from age 50–59 (p<0.05) which may be explained by age-related lean mass loss. PBF over-classified obesity in over 35% of normal and 95% of overweight categories compared to FMI and BMI. BMI has a sensitivity of 78.9% and specificity of 98.3% for obesity using FMI as the standard. BMI under-classified obesity in the overweight category by 14.9% compared to FMI. There was no difference in diabetes, dyslipidemia, hypertension and metabolic syndrome prevalence within the BMI-obesity and FMI-obesity categories (p>0.05). Conclusion PBF classified more obesity than BMI and FMI because of its low pre-determined threshold. The greater difference with PBF compared to BMI and FMI from the 50–59 decade onwards can be attributed to age-related lean mass loss. BMI had the lowest sensitivity for obesity diagnosis. BMI under-classified obesity in the overweight category compared to FMI due to its inability to differentiate lean mass. However, there was no significant difference in the prevalence of metabolic risk factors between BMI and FMI-obesity categories indicating that fat location may influence metabolic dysregulation.

scholarly journals Perceived Neighbourhood Problems over Time and Associations with Adiposity

2018 ◽  
Vol 15 (9) ◽  
pp. 1854 ◽  
Author(s):  
Anne Ellaway ◽  
Ruth Dundas ◽  
Jonathan Olsen ◽  
Paul Shiels
Keyword(s):  
Waist Circumference ◽  
Body Fat ◽  
Health Behaviours ◽  
Local Environment ◽  
Cross Sectional ◽  
Percentage Body Fat ◽  
Waist Hip Ratio ◽  
Local Environments ◽  
Prevalence Of Obesity ◽  
Using Data

There is growing interest in understanding which aspects of the local environment influence obesity. Using data from the longitudinal West of Scotland Twenty-07 study (n = 2040) we examined associations between residents’ self-reported neighbourhood problems, measured over a 13-year period, and nurse-measured body weight and size (body mass index, waist circumference, waist–hip ratio) and percentage body fat. We also explored whether particular measures such as abdominal obesity, postulated as a marker for stress, were more strongly related to neighbourhood conditions. Using life course models adjusted for sex, cohort, household social class, and health behaviours, we found that the accumulation of perceived neighbourhood problems was associated with percentage body fat. In cross-sectional analyses, the strongest relationships were found for contemporaneous measures of neighbourhood conditions and adiposity. When analyses were conducted separately by gender, perceived neighbourhood stressors were strongly associated with central obesity measures (waist circumference, waist–hip ratio) among both men and women. Our findings indicate that chronic neighbourhood stressors are associated with obesity. Neighbourhood environments are modifiable, and efforts should be directed towards improving deleterious local environments to reduce the prevalence of obesity.

scholarly journals Relationship between BMI with percentage body fat and obesity in Singaporean adults – The Yishun Study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kexun Kenneth Chen ◽  
Shiou-Liang Wee ◽  
Benedict Wei Jun Pang ◽  
Lay Khoon Lau ◽  
Khalid Abdul Jabbar ◽  
...  
Keyword(s):  
Prediction Model ◽  
Body Fat ◽  
Population Based ◽  
Overweight And Obesity ◽  
Community Dwelling ◽  
Percentage Body Fat ◽  
High Prevalence ◽  
The Us ◽  
Prevalence Of Obesity ◽  
Age And Sex

Abstract Background The main aim of this study was to the determine relationship between Body Mass Index (BMI) and percentage body fat (BF%) in Singaporean adults, derive a prediction model to estimate BF%, and to report population BF%. The secondary aim was to determine the prevalence of overweight and obesity based on BF% threshold and the new risk categories for obesity in Singaporean population. Methods This was a population-based study of 542 community-dwelling Singaporeans (21–90 years old, 43.1% men). Anthropometry and body composition were assessed. Relationship between BMI and BF% were analysed using multiple regression models. Prevalence of overweight and obesity were estimated using WHO and Singapore Ministry of Health (MOH) Clinical Practice Guidelines for BMI classification, and BF% cut-off points of 25 and 35% for men and women respectively. Results We derived a prediction model to estimate BF% based on BMI, age and sex. The current cohort of Singaporeans when compared to Caucasians in the US and Europe as well as a Singapore cohort from 20 years age have higher BF% when matched for BMI, age, and sex. The overall population-adjusted prevalence of obesity according to WHO International classification (BMI ≥30 kg/m2) was 12.9% (14.9% men; 11.0% women); and 26.6% (30.7% men; 22.8% women) according to the MOH classification (BMI ≥27.5 kg/m2). However, using the BF% cut-off (> 25% for men and > 35% for women) resulted in very high prevalence of obesity of 82.0% (80.2% men; 83.8% women). Conclusion There is a large discrepancy between BF% and BMI measured obesity in Singaporean adults. The results confirmed that Singaporean adults have higher BF% at lower BMI compared to US and Europe white counterparts; and that BF% in our population has increased over two decades.

Prediction of percentage body fat from anthropometry and bioelectrical impedance in Singaporean and Beijing Chinese

2000 ◽  
Vol 9 (2) ◽  
pp. 93-98 ◽  
Author(s):  
Paul Deurenberg ◽  
Mabel Deurenberg-Yap ◽  
Jingzhong Wang ◽  
Fu Po Lin ◽  
Gordon Schmidt
Keyword(s):  
Body Fat ◽  
Bioelectrical Impedance ◽  
Percentage Body Fat

scholarly journals Evolution of the prevalence of obesity in the adult population in France, 2013–2016: the Constances study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sébastien Czernichow ◽  
Adeline Renuy ◽  
Claire Rives-Lange ◽  
Claire Carette ◽  
Guillaume Airagnes ◽  
...  
Keyword(s):  
Linear Trend ◽  
Adult Population ◽  
Age Groups ◽  
French Population ◽  
Obesity Prevalence ◽  
Point Change ◽  
Men And Women ◽  
Class 1 ◽  
Prevalence Of Obesity ◽  
Age And Sex

AbstractThis study provides trends in obesity prevalence in adults from 2013 to 2016 in France. 63,582 men and women from independent samples upon inclusion from the Constances cohort were included. Anthropometrics were measured at Health Screening Centers and obesity defined as a Body mass index (BMI) ≥ 30 kg/m2; obesity classes according to BMI are as follows: class 1 [30–34.9]; class 2 [35–39.9]; class 3 [≥ 40 kg/m2]. Linear trends across obesity classes by sex and age groups were examined in regression models and percentage point change from 2013 to 2016 for each age category calculated. All analyses accounted for sample weights for non-response, age and sex-calibrated to the French population. Prevalence of obesity ranged from 14.2 to 15.2% and from 14 to 15.3% in women and men respectively from 2013 to 2016. Class 1 obesity category prevalence was the only one to increase significantly across survey years in both men and women (p for linear trend = 0.04 and 0.01 in women and men respectively). The only significant increase for obesity was observed in the age group 18–29 y in both women and men (+ 2.71% and + 3.26% point increase respectively, equivalent to an approximate rise of 50% in women and 93% in men, p = 0.03 and 0.02 respectively). After adjustment for survey non-response and for age and sex distribution, the results show that class 1 obesity prevalence has significantly increased in both women and men from 2013 to 2016, and only in young adults in a representative sample of the French population aged 18–69 years old.

scholarly journals A novel body circumferences-based estimation of percentage body fat

2018 ◽  
Vol 119 (6) ◽  
pp. 720-725 ◽  
Author(s):  
Yair Lahav ◽  
Yoram Epstein ◽  
Ron Kedem ◽  
Haggai Schermann
Keyword(s):  
Body Fat ◽  
Field Research ◽  
Cost Effective ◽  
Population Based ◽  
Reliable Estimate ◽  
Study Cohort ◽  
Anthropometric Measures ◽  
Percentage Body Fat ◽  
Health Club ◽  
Body Circumferences

AbstractAnthropometric measures of body composition are often used for rapid and cost-effective estimation of percentage body fat (%BF) in field research, serial measurements and screening. Our aim was to develop a validated estimate of %BF for the general population, based on simple body circumferences measures. The study cohort consisted of two consecutive samples of health club members, designated as ‘development’ (n 476, 61 % men, 39 % women) and ‘validation’ (n 224, 50 % men, 50 % women) groups. All subjects underwent anthropometric measurements as part of their registration to a health club. Dual-energy X-ray absorptiometry (DEXA) scan was used as the ‘gold standard’ estimate of %BF. Linear regressions where used to construct the predictive equation (%BFcal). Bland–Altman statistics, Lin concordance coefficients and percentage of subjects falling within 5 % of %BF estimate by DEXA were used to evaluate accuracy and precision of the equation. The variance inflation factor was used to check multicollinearity. Two distinct equations were developed for men and women: %BFcal (men)=10·1−0·239H+0·8A−0·5N; %BFcal (women)=19·2−0·239H+0·8A−0·5N (H, height; A, abdomen; N, neck, all in cm). Bland–Altman differences were randomly distributed and showed no fixed bias. Lin concordance coefficients of %BFcal were 0·89 in men and 0·86 in women. About 79·5 % of %BF predictions in both sexes were within ±5 % of the DEXA value. The Durnin–Womersley skinfolds equation was less accurate in our study group for prediction of %BF than %BFcal. We conclude that %BFcal offers the advantage of obtaining a reliable estimate of %BF from simple measurements that require no sophisticated tools and only a minimal prior training and experience.

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