Epidemiological Association Between Body Fat Percentage and Cervical Cancer: A Cross-sectional Population-based Survey from Mexico

2013 ◽  
Vol 44 (6) ◽  
pp. 454-458 ◽  
Author(s):  
Daniel López-Hernández
Keyword(s):  
Cervical Cancer ◽  
Body Fat ◽  
Population Based ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Population Based Survey ◽  
Epidemiological Association

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.

FOUR-SITE SKINFOLDS THICKNESS PERCENTILES of SCHOOLCHILDREN and ADOLESCENTS in TURKEY

2021 ◽  
pp. 1-28
Author(s):  
Meltem Soylu ◽  
Nazlı Şensoy ◽  
İsmet Doğan ◽  
Nurhan Doğan ◽  
Mümtaz M. Mazicioğlu ◽  
...  
Keyword(s):  
Body Fat ◽  
Skinfold Thickness ◽  
Population Based ◽  
Specific Reference ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Lms Method ◽  
And Gender ◽  
Thickness Measurements ◽  
Gender Specific

Abstract Objective: The primary purpose of this study was to establish Turkish smoothed centile charts and LMS tables for four-site skinfold thickness based on a population-based sample and secondary purpose was to elaborate a reference for the percentage of body fat. Design: A cross-sectional and descriptive study was conducted between January and May 2017. Triceps, biceps and subscapular, suprailiac skinfold thickness were measured using Holtain skinfold caliper. Age and gender specific percentile values were determined with the LMS method, and body fat percentage was calculated using the Westrate and Deurenberg equation. Setting: Afyonkarahisar province in Turkey. Participants: This study was conducted on 4565, 6-18 years old students. Results: The triceps, biceps, and subscapular skinfolds of the girls were higher than the boys. From the age of seven, the sum of four skinfold thicknesses of the girls was more than those of the boys. This difference became more evident after the age of 12. Although fat percentages of girls showed a fluctuating change, it decreased with the age in boys. Westrate and Deurenberg equation fat percentages of girls until adolescence were lower than boys, but increased after 12 years of age and exceeded that of boys. Conclusions: This study has provided sex and age specific reference values for skinfold thickness, and has shown that obesity in girls is higher than in boys in schoolchildren in Afyonkarahisar. This study has also shown that skinfold thickness measurements are a valuable tool for screening obesity in children.

scholarly journals Assessment of Age-Induced Changes in Body Fat Percentage and BMI Aided by Bayesian Modelling: A Cross-Sectional Cohort Study in Middle-Aged and Older Adults

2020 ◽  
Vol Volume 15 ◽  
pp. 2301-2311
Author(s):  
Pawel Macek ◽  
Malgorzata Terek-Derszniak ◽  
Malgorzata Biskup ◽  
Halina Krol ◽  
Jolanta Smok-Kalwat ◽  
...  
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Bayesian Modelling ◽  
Middle Aged ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Induced Changes

scholarly journals PERBEDAAN ASUPAN ENERGI, MAKRONUTRIEN, STATUS GIZI, DAN VO2 MAKS ANTARA ATLET SEPAK BOLA ASRAMA DAN NON ASRAMA [The Differences of Energy, Macronutrient Intake, Nutritional Status, and VO2 Max between Boarding and Non-Boarding Football Athletes]

2019 ◽  
Vol 14 (1) ◽  
pp. 14
Author(s):  
Ayu Alfitasari ◽  
Fillah Fithra Dieny ◽  
Martha Ardiaria ◽  
A. Fahmi Arif Tsani
Keyword(s):  
Nutritional Status ◽  
Physical Fitness ◽  
Dietary Intake ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Body Fat Percentage ◽  
Macronutrient Intake ◽  
Fat Percentage ◽  
Vo2 Max ◽  
Cross Sectional

Football athletes require high-quality physical fitness that affects achievement. Nutritional status was the outcome of dietary intake and can influence physical fitness. Athletes who boarded have an organized eating arrangement, so the dietary intake is more assured. The objective of this study was to analyze the differences of energy, macronutrients intake, nutritional status, and V2 max between boarding and nonboarding football athletes aged 13 - 18 years. A cross-sectional study was done in 32 people who divided into two groups (boarding and non-boarding football athletes).The collected datas included food intake using 6x24 hoursfood recalls, height using microtoise, weight using digital scales, BMI for Age using WHO Anthro Plus, body fat percentage using Bioelectrical Impedance Analysis, VO2 max using Cooper Test 2.4 km. Nutrient values were analyzed using NutriSurvey. Statistical analysis using Independent TTest. There were significant differences between energy and macronutrient intake (p=0.001), body fat percentage (p=0.004), and VO2 max score (p=0.001) of boarding and non-boarding athletes. Energy and macronutrient intake of boarding and non-boarding athletes were still in the deficient category; however, the average nutritional intake of boarding athletes were still higher than non-boarding athletes. Most nutritional status of athletes based on BMI/Age were in normal category (87.5% in boarding athletes and 62.5% in non-boarding athletes). There was no over in non-boarding athlete. However, there were 12.5% of boarding athletes in the over fat category. 25% of non-boarding athletes were in the under fat category, while in boarding athletes, none of athlete in under fat category. 62.5% boarding athletes had VO2 max score at a very good level, while 87.5% of non boarding athletes were in enough category. There were significant differences between energy and macronutrient intake, body fat percentage, and VO2 max score between boarding and non-boarding football athletes.

scholarly journals Korelasi persentase lemak tubuh dengan kadar adipsin pada premenopause

2018 ◽  
Vol 14 (3) ◽  
pp. 99
Author(s):  
Rahmani Welan ◽  
Gusti Revilla ◽  
Desmawati Desmawati
Keyword(s):  
Body Fat ◽  
Venous Blood ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Enzyme Linked Immunosorbent Assay ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional ◽  
The Mean

Background: One of the conditions on premenopausal period is the increase in body fat, among which are caused by levels of the fluctuating estrogen hormone. Increase fat affects the body fat percentage and adipsin levels. Adipsin plays a role in the stimulation of insulin secretion by producing C3a, in which C3AR1 (C3a Receptor 1) fragments interact with beta cells to secrete insulin.Objective: The purpose of this study is to determine correlation of body fat percentage with adipsin levels on premenopause.Design: This was an analytical study with cross-sectional design. Body fat percentage was obtained by examination using Bioelectrical Impedance Analysis (BIA). Venous blood was taken at the mediana cubiti area used for serum adipsin levels. Adipsin levels were analyzed by Enzyme-linked Immunosorbent Assay (ELISA) technique.Results: The mean of body fat percentage on premenopausal was 36,18 ± 8,35%. The mean of adipsin levels on premenopausal was 117,05 ± 87,93 ng/ml. Result of Pearson test analysis got value r = 0,632 and value p = 0.0005 (p <0,05).Conclusions: There is a positive significant correlation between the percentage of body fat with adipsin levels on premenopause.

Expanded normal weight obesity and blood pressure in Chinese adults: a community-based cross-sectional study

2019 ◽  
Vol 25 (3) ◽  
pp. 256 ◽  
Author(s):  
Huijing He ◽  
Li Pan ◽  
Feng Liu ◽  
Jingang Ma ◽  
Zhiping Hu ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Fat ◽  
Normal Weight ◽  
Shaanxi Province ◽  
High Risk Population ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Increased Risk ◽  
Normal Weight Obesity

The study aimed to explore the independent association between expanded normal weight obesity categories and blood pressure among adults aged 20–80 years in China. By cross-sectional design, a total of 4279 adults living in Shaanxi Province, China, were selected from communities via multi-stage stratified cluster sampling in 2014. Information on anthropometric, body composition and blood pressure was collected and analysed. Expanded normal weight obesity (ENWO) categories were used to identify the level of bodyweight based on the combination of body mass index (BMI) and body fat percentage (BFP) categories. The age- and sex-standardised prevalence of hypertension increased within ENWO groups, from 10.12% in the underweight-low body fat group to 45.92% in the obesity-high body fat group. In under or normal weight participants, body fat percentage was found independently associated with hypertension in men, with an adjusted odds ratio of 3.69 in the fourth quartile of BFP compared with the first one. However, this effect was not observed in women. BFP was independently associated with increased risk of hypertension, especially in men. People with normal BMI should be re-identified as a high-risk population based on BFP level when it comes to hypertension prevention in primary healthcare settings.

scholarly journals Adiposity is Associated with Decreased Serum 17-Hydroxyprogesterone Levels in Non-Diabetic Obese Men Aged 18–49: A Cross-Sectional Study

2020 ◽  
Vol 9 (12) ◽  
pp. 3873
Author(s):  
José Ignacio Martínez-Montoro ◽  
María Molina-Vega ◽  
Maite Asenjo-Plaza ◽  
María Concepción García-Ruiz ◽  
Enrique Varea-Marineto ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Fat ◽  
Cross Sectional Study ◽  
Body Fat Percentage ◽  
Bonferroni Correction ◽  
Sectional Study ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Male Sex ◽  
17 Hydroxyprogesterone

Obesity is associated with decreased circulating testosterone levels, the main male sex hormone. However, there are a number of different male sex hormones whose dynamics remain poorly understood regarding this pathology. In this regard, 17 hydroxyprogesterone (17-OH progesterone), as an important precursor of testosterone synthetized in testes and adrenal glands, could play an essential role in testosterone deficiency in male obesity. Moreover, similarly to testosterone, 17-OH progesterone could be closely associated with visceral fat distribution and metabolic dysfunction. Thus, the aim of this study was to assess serum 17-OH progesterone levels in non-diabetic obese young men and to evaluate their relationship with clinical, analytical, and anthropometric parameters. We conducted a cross-sectional study including 266 non-diabetic men with obesity (BMI ≥ 30 kg/m2) aged 18–49 years; 17-OH progesterone and total testosterone (TT) were determined by high-performance liquid chromatography mass spectrometry. 17-OH progesterone levels were significantly lower in tertile 3 of body fat percentage in comparison with tertile 1 (0.74 ng/mL vs. 0.94 ng/mL, p < 0.01; Bonferroni correction) and in comparison with tertile 2 (0.74 ng/mL vs. 0.89 ng/mL, p = 0.02; Bonferroni correction). 17-OH progesterone levels correlated negatively with weight, BMI, waist circumference, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), and visceral fat, and positively with TT, free testosterone (FT), luteinizing hormone, and fat-free mass percentage. Multivariate linear-regression analysis showed that body fat percentage and HOMA-IR were inversely associated with 17-OH progesterone levels, while FT and ACTH were positively linked to circulating 17-OH progesterone levels. In conclusion, in a population of non-diabetic obese young men, 17-OH progesterone levels were inversely associated with adiposity. Body fat percentage and insulin resistance were negatively related to 17-OH progesterone levels, whereas FT and ACTH levels were positively associated with 17-OH progesterone levels.

scholarly journals Relative Fat Mass as an estimator of whole-body fat percentage among children and adolescents: A cross-sectional study using NHANES

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Orison O. Woolcott ◽  
Richard N. Bergman
Keyword(s):  
Waist Circumference ◽  
Children And Adolescents ◽  
Body Fat ◽  
Fat Mass ◽  
Misclassification Error ◽  
Whole Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Overweight Or Obesity

Abstract We evaluated the ability of the Relative Fat Mass (RFM) to estimate whole-body fat percentage among children and adolescents who participated in the National Health and Nutrition Examination Survey from 1999 through 2006 (n = 10,390). The RFM equation for adults (64 − (20 × height/waist circumference) + (12 × sex)) may be used for adolescents 15 to 19 years of age. For children and adolescents 8 to 14 years of age, we suggest a modified RFM equation, named as the RFMp (RFM pediatric): 74 − (22 × height/waist circumference) + (5 × sex). In both equations, sex equals 0 for boys and 1 for girls. RFMp was more accurate than BMI to estimate whole-body fat percentage (measured by dual energy X-ray absorptiometry, DXA) among girls (percentage of estimates that were <20% of measured body fat percentage, 88.2% vs. 85.7%; P = 0.027) and boys 8 to 14 years of age (83.4% vs. 71.0%; P < 0.001). RFM was more accurate than BMI among boys 15 to 19 years of age (82.3% vs. 73.9%; P < 0.001) but slightly less accurate among girls (89.0% vs. 92.6%; P = 0.002). Compared with BMI-for-age percentiles, RFMp had lower misclassification error of overweight or obesity (defined as a DXA-measured body fat percentage at the 85th percentile or higher) among boys 8 to 14 years of age (6.5% vs. 7.9%; P = 0.018) but not girls (RFMp: 8.2%; BMI-for-age: 7.9%; P = 0.681). Misclassification error of overweight or obesity was similar for RFM and BMI-for-age percentiles among girls (RFM: 8.0%; BMI-for-age: 6.6%; P = 0.076) and boys 15 to 19 years of age (RFM: 6.9%; BMI-for-age: 7.8%; P = 0.11). RFMp for children and adolescents 8 to 14 years of age and RFM for adolescents 15 to 19 years of age were useful to estimate whole-body fat percentage and diagnose body fat-defined overweight or obesity.

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