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.

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 Effects of Sweet-Liking on Body Composition Depend on Age and Lifestyle: A Challenge to the Simple Sweet-Liking—Obesity Hypothesis

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2702
Author(s):  
Vasiliki Iatridi ◽  
Rhiannon M. Armitage ◽  
Martin R. Yeomans ◽  
John E. Hayes
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Weight Maintenance ◽  
Age Groups ◽  
Hierarchical Cluster ◽  
Food Choices ◽  
Fat Free Mass ◽  
Obesogenic Environment ◽  
Anthropometric Measures ◽  
The Uk

Taste hedonics drive food choices, and food choices affect weight maintenance. Despite this, the idea that hyper-palatability of sweet foods is linked to obesity development has been controversial for decades. Here, we investigate whether interpersonal differences in sweet-liking are related to body composition. Healthy adults aged 18–34 years from the UK (n = 148) and the US (n = 126) completed laboratory-based sensory tests (sucrose taste tests) and anthropometric measures (body mass index; BMI, body fat; fat-free mass; FFM, waist/hips circumferences). Habitual beverage intake and lifestyle and behavioural characteristics were also assessed. Using hierarchical cluster analysis, we classified participants into three phenotypes: sweet liker (SL), sweet disliker (SD), and inverted-U (liking for moderate sweetness). Being a SD was linked to higher body fat among those younger than 21 years old, while in the older group, SLs had the highest BMI and FFM; age groups reflected different levels of exposure to the obesogenic environment. FFM emerged as a better predictor of sweet-liking than BMI and body fat. In the older group, sweetened beverage intake partially explained the phenotype–anthropometry associations. Collectively, our findings implicate underlying energy needs as an explanation for the variation in sweet-liking; the moderating roles of age and obesogenic environment require additional consideration.

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.

scholarly journals Associations of active travel with adiposity among children and socioeconomic differentials: a longitudinal study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e036041
Author(s):  
Anthony A Laverty ◽  
Thomas Hone ◽  
Anna Goodman ◽  
Yvonne Kelly ◽  
Christopher Millett
Keyword(s):  
Longitudinal Study ◽  
Active Transport ◽  
Body Fat ◽  
Public Transport ◽  
Statistical Significance ◽  
Active Travel ◽  
Lower Percentage ◽  
Percentage Body Fat ◽  
The Uk ◽  
Motorised Transport

ObjectivesExamine longitudinal associations between modes of travel to school and adiposity.SettingThe UK.Participants8432 children surveyed at ages 7, 11 and 14 years from the UK Millennium Cohort Study.Primary and secondary outcomesObjective percentage body fat and body mass index (BMI). Transport mode was categorised as private motorised transport, public transport and active transport (walking or cycling). Socioeconomic position (SEP) was measured by household income group and occupational social class. We adjusted analyses for changes in the country of UK, frequency of eating breakfast, self-reported growth spurts, hours of screen time and days per week of moderate-to-vigorous physical activity. Longitudinal (panel) regression models adjusting for individual fixed effects examined associations in changes in mode of travel to school and adiposity, controlling for both time-varying and time-invariant potential confounders. Interaction tests and stratified analyses investigated differences by markers of SEP.ResultsAt age 14 years, 26.1% of children (2198) reported using private motorised transport, 35.3% (2979) used public transport and 38.6% (3255) used active transport to get to school. 36.6% (3083) of children changed mode two times between the three waves and 50.7% (4279) changed once. Compared with continuing to use private transport, switching to active transport was associated with a lower BMI (−0.21 kg/m2, 95% CI −0.31 to −0.10) and body fat (−0.55%, 95% CI −0.80% to −0.31%). Switching to public transport was associated with lower percentage body fat (−0.43%, 95% CI −0.75% to −0.12%), but associations with BMI did not reach statistical significance (−0.13 kg/m2, 95% CI −0.26 to 0.01). Interaction tests showed a trend for these effects to be stronger in more deprived groups, but these interactions did not reach statistical significance.ConclusionThis longitudinal study during a key life course period found switching to physically active forms of travel can have beneficial adiposity impacts; these associations may be more apparent for more disadvantaged children. Increasing active travel has potential to ameliorate inequalities.

scholarly journals Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players?

2021 ◽  
Vol 11 (8) ◽  
pp. 3492
Author(s):  
Souhail Hermassi ◽  
Lawrence D. Hayes ◽  
René Schwesig
Keyword(s):  
Body Mass ◽  
Body Fat ◽  
Linear Regression Analysis ◽  
Body Height ◽  
Field Tests ◽  
Predictive Ability ◽  
Normal Weight ◽  
Fat Percentage ◽  
Percentage Body Fat ◽  
Team Handball

This study examined the physical fitness, anthropometry, and throwing velocity of normal weight and overweight male team handball players. Twenty-five players from the Qatar handball first professional league participated. The anthropometry and physical performance—yo-yo intermittent recovery test, jumping ability (squat and countermovement jumps (SJ and CMJ)), T-half test for change-of-direction (COD) ability, sprint tests (15 and 30 m), and 3 kg medicine ball overhead throw—was measured. The handball-throwing velocity was measured using a three-step running shot and a jump shot. Only the CMJ (p = 0.016, ηp2 = 0.227) was different between the normal and overweight subjects. Two-step linear regression analysis using body height and body mass (step 1) and percentage body fat (%BF) (step 2) predictors showed an increase in the explained variance by adding %BF. The largest r2 change was calculated for COD (0.53). The predictive ability was observed for CMJ (step 1: r2 = 0.18, step 2: r2 = 0.22) and SJ (step 1: r2 = 0.05, step 2: r2 = 0.09). With the exception of the sprint parameters (β-coefficient 15 m sprint: −0.07; β-coefficient 30 m sprint: −0.06) and COD (β-coefficient: −0.09), a lower %BF was associated with greater performance in all parameters. %BF seems to be important for predicting sprint and agility performance.

scholarly journals Movement activity determination with health-related variables of university students in Kosice

2018 ◽  
Vol 57 (2) ◽  
pp. 88-95
Author(s):  
Peter Bakalár ◽  
Martin Zvonar ◽  
Jaromir Sedlacek ◽  
Rut Lenkova ◽  
Peter Sagat ◽  
...  
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Body Fat ◽  
Ecological Model ◽  
Scientific Evidence ◽  
Body Height ◽  
Current Evidence ◽  
Percentage Body Fat ◽  
Study Programs ◽  
Health Related

Abstract Introduction There is currently a strong scientific evidence about the negative health consequences of physical inactivity. One of the potential tools for promoting physical activity at the institutional level of the Ecological model is to create conditions and settings that would enable pupils, students and employees engage in some form of physical activity. However, physical activities as a subject are being eliminated from the study programs at Slovak universities. The purpose of the study was to find current evidence about the level of structured physical activity and health-related variables in university students in Košice. Material and methods The sample consisted of 1,993 or, more precisely, 1,398 students who attended two universities in Košice. To collect data, students completed a questionnaire and were tested for body height, body weight, circumferential measures and percentage body fat. Results The university students did not sufficiently engage in a structured physical activity. A large number of students had either low or high values of percentage body fat and BMI and high WHR values. Conclusions Our findings have shown that the research into physical activity of university students should receive more attention.

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 Body fatness, relative weight and frame size in young adults

1982 ◽  
Vol 48 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Jos A. H. Baecke ◽  
Jan Burema ◽  
Paul Deurenberg
Keyword(s):  
Body Weight ◽  
Body Fat ◽  
Body Height ◽  
Age Groups ◽  
Relative Weight ◽  
Regression Equations ◽  
Frame Size ◽  
Body Fatness ◽  
Percentage Of Body Fat ◽  
Skinfold Measurements

1. Body-weight, body height, knee width, wrist width and skinfold measurements were made on males (n 139) and females (n 167) in three age-groups (20–22, 25–27 and 30–32 years). Percentage of body fal was calculated from skinfold thicknesses using regression equations according to Durnin & Womersley (1974), Three indices of relative weight were calculated: W/H2, W/Hp and W/Ŵ, where W is body-weight, H is body height, p is the exponent that made the index of relative weight independent of height and W is the weight, estimated from body height and frame size.2. The standard error of the estimate of body-weight was only reduced by 5% in males and by 13% in females when, in addition to body height, knee width was taken into account.The addition of wrist width did not improve the accuracy of estimation of body-weight in either sex. Therefore in further analyses W was estimated from body height and knee width. In the present population the exponent p was 1·7 in males and 1·6 in females.3. The correlations between the percentage of body fat and the indices, W/H2, W/HP, and W/Ŵ, were all very similar, being approximately 0·8 in both sexes.4. A positive relationship was observed between percentage of body fat and knee width in females, which may be explained by an artifact of measurement.5. In conclusion it can be stated that the accuracy of estimation of percentage of body fat was not improved when the index of relative weight was adjusted for knee width or wrist width in the present population. The W/H2was the most preferable of the three indices which were calculated.

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.

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