scholarly journals Is There a Link between Different Types of Alcoholic Drinks and Obesity? An Analysis of 280,183 UK Biobank Participants

2020 ◽  
Vol 17 (14) ◽  
pp. 5178
Author(s):  
Elif Inan-Eroglu ◽  
Lauren Powell ◽  
Mark Hamer ◽  
Gary O'Donovan ◽  
Mitch J. Duncan ◽  
...  
Keyword(s):  
Public Health ◽  
Alcohol Consumption ◽  
Body Fat ◽  
Overweight And Obesity ◽  
Alcoholic Beverages ◽  
Body Fat Percentage ◽  
Obesity Prevalence ◽  
Uk Biobank ◽  
Fat Percentage ◽  
Alcoholic Drinks

Understanding the associations between types of alcoholic drinks and adiposity has public health relevance, considering that adult overweight and obesity prevalence are increasing worldwide. We aimed to evaluate the association between overall alcohol consumption and types of alcohol drinks with markers of adiposity from the UK Biobank baseline data (n = 280,183, 48.3% female). Generalized linear models were used to examine the associations between alcohol consumption with body mass index (BMI) and body fat percentage. Those drinking within the public health guidelines had a lower BMI by 1.34 kg/m2 (95% CI 1.42, 1.26 kg/m2) compared to never drinkers. Association between alcohol consumption and body fat percentage were not statistically significant. Compared to those who never drink wines (red wine, champagne and fortified wine), drinkers of these alcoholic beverages had lower BMI (difference of −0.75 kg/m2, 95% CI −0.78, −0.72 kg/m2; −0.48 kg/m2, 95% CI −0.52, −0.45 kg/m2; and −0.24 kg/m2, 95% CI −0.29, −0.18 kg/m2, respectively). Beer and spirits drinkers had higher BMI compared to never drinkers of beer and spirits (difference of 0.18 kg/m2, 95% CI 0.14, 0.22 kg/m2 and 0.64 kg/m2, 95% CI 0.61, 0.68 kg/m2, respectively). Our data did not find a link between alcohol drinking and higher risk of obesity.

scholarly journals Body fat percentage, BMI and skinfold thickness among medical students in Sabah, Malaysia

2015 ◽  
Vol 4 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Thant Zin ◽  
Aza Sherin Mohamad Yusuff ◽  
Than Myint ◽  
Daw KS Naing ◽  
Kyaw Htay ◽  
...  
Keyword(s):  
Medical Students ◽  
Body Fat ◽  
Nutritional Assessment ◽  
Skinfold Thickness ◽  
Overweight And Obesity ◽  
The Body ◽  
Body Fat Percentage ◽  
Obesity Prevalence ◽  
Fat Percentage ◽  
Different Types

Nutrition is a critical part of human health and development. However, overweight and obesity prevalence are rising worldwide, with associated diabetes, cardiovascular diseases and other diet-related conditions. Body mass index (BMI) is an index of weight-for-height that is commonly used to classify overweight and obesity in adults. The skin-fold measurement method is the most widely used body fat composition testing method for assessing body fat percentage. The objective of the study was to measure the body weight and body fat of medical students of Sabah, Malaysia by using different types of nutritional assessment methods. A cross-sectional study among the selected Year 2 medical students of School of Medicine, University Malaysia Sabah was conducted using different types of nutritional assessment. The average BMI and mean body fat percentage measured by body fat analyzer of the re-spondents were 21.95±0.59 kg/m2, and 16.98±1.37% respectively. The mean body fat percentages calculated by different skinfold thickness were: abdominal 24.13±1.11%, supra-iliac 20.35±1.35%, subscapular 21.83±1.01%, and alternative three-site 19.46±1.02%. In reliability testing, results are variable between male and female – internal consistency of the alternative three-sites skinfold calculation for body fat percentage showed male (excellent) and female (acceptable), and skinfold reading for body fat percentage for triceps, abdomen, sub-scapular and supra-iliac showed male (good) and female (poor to acceptable). Our findings could be used in obesity awareness promotion among Malaysian youth. However, further investigation about the determinants of obesity and body fat, including age, sex, race, nutrition, and changes over time, is needed.DOI: http://dx.doi.org/10.3329/seajph.v4i1.21838 South East Asia Journal of Public Health Vol.4(1) 2014: 35-40

scholarly journals Comparison of predicted body fat percentage from anthropometric methods and from impedance in university students

2004 ◽  
Vol 92 (5) ◽  
pp. 827-832 ◽  
Author(s):  
Marta Arroyo ◽  
Ana M. Rocandio ◽  
Laura Ansotegui ◽  
Hector Herrera ◽  
Itziar Salces ◽  
...  
Keyword(s):  
University Students ◽  
Body Fat ◽  
Body Height ◽  
Reference Method ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Overweight And Obesity ◽  
Mean Difference ◽  
Body Fat Percentage ◽  
Fat Percentage

The objective of the present study was to compare different methods for evaluating body fat percentage (BF%) (anthropometric methods and bioelectrical impedance analysis) in university students. Subjects were 653 healthy students whose mean age, body height, body weight and BMI were 21·1 (SD 2·5) years, 166·0 (SD 8·4) cm, 62·8 (SD 11·0) kg and 22·7 (SD 3·1) kg/m2, respectively. Results showed that BMI is a poor predictor of body fatness since the sensitivity was low in comparison with the reference method (Siri equation). The lowest values of BF% were obtained using the reference method (Siri equation) (21·8 (SD 6·8)%). The two methods with the highest agreement were Siri and Lean (mean difference, −0·5), followed by Brozek (mean difference, −1·4) and Deurenberg (mean difference, −1·5). The largest mean difference for BF% was between Siri and impedance (−4·5). Although the methods and/or equations used in the present study have been commonly utilised to estimate BF% in young adults, the results must be interpreted with caution in the diagnosis and monitoring of overweight and obesity.

scholarly journals L Score as a Novel Anthropometric Measure for Obesity Screening in Adult Individuals: An Exploratory Study

2020 ◽  
Vol 8 (E) ◽  
pp. 60-64
Author(s):  
Devi Prasad Mohapatra ◽  
Jaya Prakash Sahoo ◽  
Madhusmita Mohanty Mohaptra ◽  
Sitanshu Sekhar Kar ◽  
Sridharan Kalyani ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Body Fat ◽  
Tertiary Care ◽  
Primary Objective ◽  
Overweight And Obesity ◽  
Rapid Screening ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Secondary Objective ◽  
Total Body

BACKGROUND: Obesity is one of today’s most neglected public health problems, affecting every region of the world. Early identification of increased weight gain among the population is paramount to prevent the attendant complications associated with obesity. OBJECTIVES: The primary objective of this study was to measure the distribution of L score in the representative population and the secondary objective was to identify an association between L score values and other measures of obesity such as body mass index, waist circumference, waist-to-height ratio, neck circumference (NC), and total body fat percentage. METHODS: This study was conducted in the departments of plastic surgery and endocrinology of a tertiary care institute. The L score (a measure of fullness of the lateral retromalleolar fossa in the lower limb) was assessed in all the participating individuals. Statistical analysis was performed using the Statistical Package for the Social Sciences version 19.0. p < 0.05 was considered as statistically significant in statistical analysis. RESULTS: Among the 50 participants taken in this study, 24 had L score 0, 15 had score 1, and 11 had score 2. The participants with L score 1 and 2 had higher obesity, higher NC, and more body fat percentage compared to those having score 0. All the participants with L score 2 were overweight and had central obesity. CONCLUSIONS: The L score measure has a potential for simple and rapid screening of at-risk population for overweight and obesity.

scholarly journals Associations between Sleep Quality and Different Measures of Obesity in Saudi Adults

2016 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Hala Hazam AL-Otaibi
Keyword(s):  
Saudi Arabia ◽  
Waist Circumference ◽  
University Students ◽  
Sleep Quality ◽  
Body Fat ◽  
Overweight And Obesity ◽  
Poor Sleep ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Poor Sleep Quality

The prevalence's of overweight and obesity have grown to epidemic proportions in Saudi Arabia the past few years, epidemiological studies have suggested that sleeping for less than seven hours/day is associated with increased morbidity in terms of the development of obesity. The aim of this study was to examine the association between sleep quality and different measures of obesity (body mass index, waist circumference and body fat percentage) and some lifestyle habits among female university students. A cross-sectional study targeted a convenience sample of 233 undergraduate female students at King Faisal University (KFU) in AL-Hasa, Saudi Arabia. The results indicated that poor sleep quality was common in students (54%) with mean total sleeping hours of five hours/day. Poor sleep quality was associated with overweight/obese (OR 4.210, P=0.000), at risk waist circumference (OR 2.005, P=0.009), moderate/high body fat percentage (OR 1.058, P=0.025), low physical active (OR 2.045, P=0.037), and skipping breakfast (OR 2.710, P=0.003). In conclusion, the present study highlights the prevalence of poor sleep quality among female university students in Saudi Arabia, and they support previously published studies indicating that poor sleep quality was associ­ated with different measures of obesity and some of lifestyle habits. Sleep quality is an untraditional approach that might be used to prevent or treat overweight and obesity.

scholarly journals Association between physical activity and body fat percentage, with adjustment for BMI: a large cross-sectional analysis of UK Biobank

BMJ Open ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. e011843 ◽  
Author(s):  
Kathryn E Bradbury ◽  
Wenji Guo ◽  
Benjamin J Cairns ◽  
Miranda E G Armstrong ◽  
Timothy J Key
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Uk Biobank ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals Adiposity and risk of prostate cancer death: a prospective analysis in UK Biobank and meta-analysis of published studies

2021 ◽  
Author(s):  
Aurora Perez-Cornago ◽  
Yashvee Dunneram ◽  
Eleanor L. Watts ◽  
Timothy J. Key ◽  
Ruth C. Travis
Keyword(s):  
Prostate Cancer ◽  
Body Fat ◽  
Meta Analysis ◽  
Body Fat Percentage ◽  
Cancer Death ◽  
Central Adiposity ◽  
Uk Biobank ◽  
Fat Percentage ◽  
Prostate Cancer Death ◽  
Total Body

AbstractIntroductionThe association of adiposity with prostate cancer specific mortality remains unclear. We examined how adiposity and its distribution relates to fatal prostate cancer by analysing data from UK Biobank, and conducting a dose-response meta-analysis to integrate existing prospective evidence. We also described the cross-sectional associations in UK Biobank of commonly used adiposity measurements with indices of adiposity estimated by imaging.Methods218,246 men from UK Biobank who were free from cancer at baseline were included and participants were followed-up via linkage to health administrative datasets. Body mass index (BMI), total body fat percentage (using bioimpedance), waist circumference (WC) and waist-to-hip ratio (WHR) were collected at recruitment. Risk of dying from prostate cancer (primary cause) by the different adiposity measurements was estimated using multivariable-adjusted Cox proportional hazards models. Results from this and other prospective cohort studies were combined in a dose-response meta-analysis.ResultsIn UK Biobank, 631 men died from prostate cancer over a mean follow-up of 11.5 years. The hazard ratios (HR) for prostate cancer death were 1.10 (95% confidence interval=1.00-1.21) per 5 kg/m2 higher BMI, 1.03 (0.96-1.11) per 5% increase in total body fat percentage, 1.09 (1.02-1.18) per 10 cm increase in WC, and 1.09 (1.02-1.16) per 0.05 increase in WHR. Our meta-analyses of prospective studies included 22,106 prostate cancer deaths for BMI, 642 for body fat percentage, 3,153 for WC and 1,611 for WHR, and the combined HRs for dying from prostate cancer for the increments above were 1.10 (1.08-1.13), 1.03 (0.96-1.11), 1.08 (1.04-1.12), and 1.07 (1.02-1.12), respectively. In up to 4,800 UK Biobank participants with magnetic resonance imaging and dual-energy X-ray absorptiometry, BMI and WC were strongly associated with imaging estimations of total and central adiposity (e.g. visceral fat, trunk fat), with associations marginally larger for WC. There might be ∼1000 fewer prostate cancer deaths per year in the UK if the mean BMI in men was reduced by 5 kg/m2.ConclusionOverall, we found that men with higher total and central adiposity had similarly higher risks of prostate cancer death, which may be biologically driven or due to differences in detection. In either case, these findings provide further reasons for men to maintain a healthy body weight.

scholarly journals Q223R Polymorphism of the LEPR and obesity

2016 ◽  
Vol 1 (5) ◽  
pp. 170-174
Author(s):  
Шенеман ◽  
Ekaterina Sheneman ◽  
Иевлева ◽  
Kseniya Ievleva ◽  
Рычкова ◽  
...  
Keyword(s):  
Body Fat ◽  
Genetic Disorders ◽  
Adolescent Females ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Clinical Group ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Hip Circumference ◽  
Leptin Receptors

The problem of overweight and obesity is one of the most urgent health issues in the world. 13% of girls and 21% of boys aged 11 suffer from overweight in the Russian Federation.The main causes of pubertal obesity are endocrine pathology, lifestyle and genetic disorders including mutation and polymorphisms of different metabolic pathways. Leptin produced in adipose tissue participates in reproduction regula-tion, glucose homeostasis, bone formation, etc. These effects are provided by leptin receptors coding LEPR gene. Q223R (rs1137101) polymorphism is associated with an increased serum level of leptin and overweight. There is no exact information about association between this polymorphism and obesity of adolescent females. The objective was to reveal LEPR Q223R polymorphism association between overweight and obesity in adolescent females.123 Caucasian adolescent females were involved in this study. All samples could be separated into two groups: the girls with normal weight (SDS BMI ±1.0; controlgroup), girls with overweight and obesity (SDS BMI≥ +1.0–2.0; studied group). Anthropometric measurements (weight, height, waist and hip circumference, body fat percentage) were taken, and genotyping was performed using polymerase chain reaction with electrophoresis detection.G-allele frequency was 43.1% in control and 40% in the clinical group. We found no significant differences of the prev-alence of polymorphism Q223Rbetween the studied groups (р=0,862). Furthermore, there was no association between the carriage of AG and GG with weight, BMI, body fat percentage, waist and hip circumference in both groups (р&#62; 0.05).We have not found any association between LEPR Q223R and overweight and obesity in adolescent females.

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