Journal articles: 'Fat percentage'

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Chakraborty, Arijit, Sujoy P. Bhattacharyya, and Malay K. Ghosal. "A comparative study of total body fat percentage, visceral fat percentage and whole body subcutaneous and skeletal fat percentage between patients with depression and normal subjects." International Journal of Research in Medical Sciences 11, no. 11 (2023): 4125–30. http://dx.doi.org/10.18203/2320-6012.ijrms20233386.

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Background: In today’s world, depression has been named as the foremost public health problem while obesity has reached epidemic proportions in India in the 21st century. A probable association between depression and obesity has been suspected. The quantification of obesity, can be done by various methods such as body mass index (BMI), bioelectrical impedance analysis (BIA) etc. Among these, BMI and BIA have emerged as well accepted techniques. From impedance measurement values and other data such as a person’s height, weight and body types, it is possible to calculate the percentage of body fat, fat-free mass (skeletal muscles), and other body composition values. Methods: This was an analytical cross-sectional study. Cases comprised of subjects who were diagnosed with depression but were ‘drug naive’ while the control group comprised of age-matched subjects drawn from the normal population. Measurement of various anthropometric parameters like BMI, total body fat (TBF) %, visceral fat % etc. was carried out among the cases and controls using a portable body fat monitor scan that employed BIA. Results: BMI, TBF%, visceral fat %, whole body subcutaneous and skeletal fat % were found to be much higher among the cases (subjects with depression) in comparison with the controls (normal subjects), in a statistically significant way. Conclusions: The study showed that the intrinsic inflammatory potential of obesity coupled with its probable dysregulatory impact on the (hypothalamo-pituitary-adrenal) HPA axis was possibly the underlying cause of the elevated anthropometric parameters noted among the cases.

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Vehrs, Pat R., Gilbert W. Fellingham, Angela McAferty, and Laurel Kelsey. "Trends in BMI Percentile and Body Fat Percentage in Children 12 to 17 Years of Age." Children 9, no. 5 (2022): 744. http://dx.doi.org/10.3390/children9050744.

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This study evaluates the cross-sectional trends in body fat percentage (BF%) and body mass index (BMI) percentile rank, and the relationship between the two in 332 (177 boys, 155 girls) 12- to 17-year-old children. Body mass index (BMI) was calculated using measured height and body mass, and sex-specific BMI for age percentile rank was determined using CDC growth charts. Body fat percentage (BF%) was measured with DEXA. Fat mass index (FMI) and fat-free mass index (FFMI) were calculated by normalizing the fat mass and fat-free mass for height. Compared to boys of the same age, girls had significantly higher BF% and FMI values and lower FFMI values. Compared to boys, at a given BMI percentile rank, females had a higher BF% and FMI, and a lower FFMI. In both boys and girls, there was an exponential increase in adiposity above the 70th percentile rank. BMI percentile rank is not an equivalent indicator of body fatness in boys and girls. Other measures of body composition can further inform the practitioner of a child’s adiposity.

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Sari, Nurul Yuli Permata, Ardesy Melizah Kurniati, Julius Anzar, Liniyanti D. Oswari, Sri Nita, and Syarinta Adenina. "The Relationship of Fat Intake and Body Fat Percentage in Medical Students." Biomedical Journal of Indonesia 10, no. 3 (2024): 92–97. http://dx.doi.org/10.32539/bji.v10i3.201.

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Introduction. Obesity is an excessive fat accumulation in the body, now the prevalence is increasing in the group aged>18 years based on Body Mass Index (BMI). Nowadays body fat percentage has been declared to assess the risk factor of disease-related body weight better than BMI, people with proportioned weight had excessive body fat percentage evenly. Excessive fat intake is one of the important factors for obesity. The objective of this study was to analyze the association between fat intake with body fat percentage. Methods. This study was conducted with a cross-sectional design on 275 medical faculty students of Sriwijaya University, starting from August until December 2017 by collecting primary data through completing forms, food records, questionnaires, and physical examinations. Results. The results were analyzed statistically using chi-square. 67.3% of subjects had excessive body fat percentage and 50.2% with excessive fat intake. Results by the chi-square test indicate a negative association between fat intake with body fat percentage (p value=0.184). Conclusion. Fat intake with body fat percentage was negatively associated.

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M.S, ANTONY VIGIL. "Estimation of Body Fat Percentage Using Neural Networks, Tensorflow and Opencv." Journal of Research on the Lepidoptera 51, no. 2 (2020): 696–709. http://dx.doi.org/10.36872/lepi/v51i2/301128.

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Setyaningrum, Sri, Dini Julia Sari Siregar, Ruth Riah Ate Tarigan, and Warisman a. "THE EFFECT OF SYNBIOTIC ON CARCASS PERCENTAGE AND ABDOMINAL FAT PERCENTAGE OF NATIVE CHICKEN." International Journal of Advanced Research 10, no. 06 (2022): 434–38. http://dx.doi.org/10.21474/ijar01/14907.

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The aim of this study was to evaluate the effect of synbiotic on carcass percentage and abdominal fat percentage of native chicken. This research used 120 birds of native chicken. Basal diet in this research formulated with metabolizable energy (ME) 3000 kcal/kg and crude protein 19%. Completely randomized design used in this research with 6 treatment and 4 replicates. The 6 treatments were P0: control (without synbiotic), P1: basal diet + 1.0% of synbiotic, P2: basal diet + 1.5% of synbiotic, P3: basal diet + 2.0% of synbiotic, P4:basal diet + 2.5% of synbioticand P5: basal diet + 3.0% of synbiotic. The parameters in this research were live weight, carcass percentage and abdominal fat percentage. Based on this research showed that the treatment of synbiotic significant different (p<0.05) on live weight, carcass percentage and abdominal fat percentage of native chicken. Conclusion of the research was the supplementation of synbiotic increased of liveweight and carcass percentageand reduced of abdominal fat percentage of native chicken.

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Nolan, John, Orla O’Donovan, Heather Kavanagh, et al. "Macular Pigment and Percentage of Body Fat." Investigative Opthalmology & Visual Science 45, no. 11 (2004): 3940. http://dx.doi.org/10.1167/iovs.04-0273.

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Indraswari, Sonya Hayu, Mohammad Zen Rahfiludin, and Ali Rosidi. "Correlation between nutritional adequacy, Fe content, body fat percentage, and muscle mass percentage with physical fitness." Jurnal Keolahragaan 10, no. 1 (2022): 21–30. http://dx.doi.org/10.21831/jk.v10i1.46001.

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This study aims to determine the correlation between nutritional adequacy, Fe content, body fat percentage, and muscle mass percentage with physical fitness in football athletes. Adequacy of nutrients (energy, protein, fat, protein and Fe) was obtained with a 2×24 hour recall. The Fe content value of Fe was measured using the cyanmethemoglobin method and sTfR was measured using the ELWASA method. The percentage of fat and muscle was obtained by using a Bioelectrical Impedance Analysis tool. Physical fitness was measured using the ACSPFT (Asian Committee on Standardization of Physical Fitness Test) test which includes long jumps, pull-ups, sit-ups, sprints or sprints, shuttle run tests, sit and reach and long runs. The bivariate statwastical test used was the Pearson and Rank-Spearman correlation test, while the multivariate test used the Linear Regression test. There was a correlation between carbohydrate adequacy and physical fitness (p = 0.008). Physical fitness related to carbohydrate adequacy was agility and hand muscle strength (shuttle run and pull-up). There was no correlation between adequacy of energy, protein, fat, Fe Content, fat percentage, muscle percentage and physical fitness of athletes. The results of multivariate analysis showed that the most influential on physical fitness was fat adequacy (Rsquwere=14,6%).

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Indraswari, Sonya Hayu, Mohammad Zen Rahfiludin, and Ali Rosidi. "Correlation between nutritional adequacy, Fe content, body fat percentage, and muscle mass percentage with physical fitness." Jurnal Keolahragaan 10, no. 1 (2022): 21–30. http://dx.doi.org/10.21831/jk.v10i1.46001.

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This study aims to determine the correlation between nutritional adequacy, Fe content, body fat percentage, and muscle mass percentage with physical fitness in football athletes. Adequacy of nutrients (energy, protein, fat, protein and Fe) was obtained with a 2×24 hour recall. The Fe content value of Fe was measured using the cyanmethemoglobin method and sTfR was measured using the ELWASA method. The percentage of fat and muscle was obtained by using a Bioelectrical Impedance Analysis tool. Physical fitness was measured using the ACSPFT (Asian Committee on Standardization of Physical Fitness Test) test which includes long jumps, pull-ups, sit-ups, sprints or sprints, shuttle run tests, sit and reach and long runs. The bivariate statwastical test used was the Pearson and Rank-Spearman correlation test, while the multivariate test used the Linear Regression test. There was a correlation between carbohydrate adequacy and physical fitness (p = 0.008). Physical fitness related to carbohydrate adequacy was agility and hand muscle strength (shuttle run and pull-up). There was no correlation between adequacy of energy, protein, fat, Fe Content, fat percentage, muscle percentage and physical fitness of athletes. The results of multivariate analysis showed that the most influential on physical fitness was fat adequacy (Rsquwere=14,6%).

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Fila Rachmad Ramadan, Lini Anisfatus Sholihah, Noor Rohmah Mayasari, and Wildan Alfira Gusrianto. "Energy, Fat, Carbohydrate Adequacy, Physical Activity: Relation to Nutrition Students' Body Fat Percentage." Gema Lingkungan Kesehatan 22, no. 2 (2024): 149–57. http://dx.doi.org/10.36568/gelinkes.v22i2.171.

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Obesity is caused by excessive fat accumulation due to high energy, carbohydrate, fat intake, and low physical activity, leading to serious health risks. This study examines the relationship between the adequacy levels of energy, fat, carbohydrates, and physical activity with body fat percentage in nutrition students at Universitas Negeri Surabaya. This research used a quantitative method with a cross-sectional design involving 111 respondents selected through cluster random sampling based on student cohorts. Data were collected using a 3x24-hour Food Record questionnaire and the IPAQ Short Form to assess physical activity levels, and body fat percentage was measured using BIA. The results showed that most respondents had a deficit in energy adequacy (72.1%) and carbohydrate adequacy (91%), 57.6% had adequate or higher fat intake, and 64% were physically active. Statistical analysis showed a significant relationship between energy adequacy levels (p=0.024; OR=4.4) and fat adequacy (p=0.000; OR=6) with body fat percentage, as well as a significant relationship between physical activity (p=0.028; OR=2.3) and body fat percentage. No significant relationship was found between carbohydrate adequacy levels and body fat percentage (p=0.316). This study highlights the importance of maintaining balanced energy and fat intake and increasing physical activity to control body fat percentage and prevent obesity among female students. Nutrition and physical activity intervention programs tailored to the needs of female students are necessary to achieve optimal body health.

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Leng, L., H. Zhang, J. Q. Dong, et al. "Selection against abdominal fat percentage may increase intramuscular fat content in broilers." Journal of Animal Breeding and Genetics 133, no. 5 (2016): 422–28. http://dx.doi.org/10.1111/jbg.12204.

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Ferguson, Pamela L., Sarah Commodore, Brian Neelon, et al. "Early exposure to animals and childhood body mass index percentile and percentage fat mass." Child and Adolescent Obesity 5, no. 1 (2022): 3–15. http://dx.doi.org/10.1080/2574254x.2021.2021788.

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Kryst, Łukasz, Magdalena Żegleń, Małgorzata Kowal, and Agnieszka Woronkowicz. "Body fat percentage estimation in children – searching for the most accurate equation." HOMO 72, no. 3 (2021): 205–13. http://dx.doi.org/10.1127/homo/2021/1345.

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Subramanian, Senthil Kumar, Gowdarahalli Basavegowda Kuldeep, Rajathi Rajendran, and Varsha Yuvaraj. "The Role of Neck Circumference in Predicting Body Fat Distribution: A Cross-Sectional Study Among Healthy Female Medical Students." Indian Journal of Public Health Research & Development 16, no. 2 (2025): 304–9. https://doi.org/10.37506/xxgma973.

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Background: Obesity, characterized by excessive fat accumulation, poses significant health risks. Traditional anthropometric measures like BMI, waist circumference (WC), and waist-to-hip ratio (WHR) are commonly used to assess obesity, but they have limitations. This study investigates neck circumference (NC) as an alternative measure for assessing body fat distribution, particularly in the context of the "thin-fat Indian" phenotype, which exhibits central obesity despite a generally lean physique. Methods: This cross-sectional study, conducted at xxx in 2023, included 63 healthy female medical students aged 18-25 years. After obtaining ethical approval and informed consent, participants underwent anthropometric measurements including NC and body fat percentage, the latter determined via bioelectrical impedance analysis (BIA). NC was measured following ISAK guidelines. Statistical analysis was performed using IBM SPSS Statistics (version 25), with Pearson's correlation coefficient and simple linear regression analysis used to explore the relationship between NC and body fat parameters. Results: The mean age of participants was 20.8±8.2 years. Mean NC was 30.03 ± 4.74 cm. The analysis revealed a strong positive correlation between NC and body fat percentage across various body sections (all r > 0.74, all p < 0.001), with the highest correlation observed for arm fat percentage (r = 0.960). Simple linear regression analysis indicated that NC significantly predicts several body fat measures, accounting for 57.9% of the variability in BMI, 68.7% in total body fat percentage, 79.3% in subcutaneous fat percentage, 55.7% in visceral fat percentage, 92.2% in arm fat percentage, 88.9% in trunk fat percentage, and 87.1% in leg fat percentage. Conclusion: The findings suggest that NC is a robust predictor of body fat distribution, particularly for arm and trunk fat percentages. This aligns with previous research highlighting NC as a valuable tool for identifying obesity-related health risks. The strong correlations and high coefficients of determination underscore the potential of NC as a simple, non-invasive, and cost-effective method for assessing body fat composition, especially in community settings.

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Ma, Shengchao, Dan Wang, Menghua Zhang, et al. "Transcriptomic and Metabolomics Joint Analyses Reveal the Influence of Gene and Metabolite Expression in Blood on the Lactation Performance of Dual-Purpose Cattle (Bos taurus)." International Journal of Molecular Sciences 25, no. 22 (2024): 12375. http://dx.doi.org/10.3390/ijms252212375.

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Blood is an important component for maintaining animal lives and synthesizing sugars, lipids, and proteins in organs. Revealing the relationship between genes and metabolite expression and milk somatic cell count (SCC), milk fat percentage, milk protein percentage, and lactose percentage in blood is helpful for understanding the molecular regulation mechanism of milk formation. Therefore, we separated the buffy coat and plasma from the blood of Xinjiang Brown cattle (XJBC) and Chinese Simmental cattle (CSC), which exhibit high and low SCC/milk fat percentage/milk protein percentage/lactose percentages, respectively. The expression of genes in blood and the metabolites in plasma was detected via RNA-Seq and LC-MS/MS, respectively. Based on the weighted gene coexpression network analysis (WGCNA) and functional enrichment analysis of differentially expressed genes (DEGs), we further found that the expression of genes in the blood mainly affected the SCC and milk fat percentage. Immune or inflammatory-response-related pathways were involved in the regulation of SCC, milk fat percentage, milk protein percentage, and lactose percentage. The joint analysis of the metabolome and transcriptome further indicated that, in blood, the metabolism pathways of purine, glutathione, glycerophospholipid, glycine, arginine, and proline are also associated with SCC, while lipid metabolism and amino-acid-related metabolism pathways are associated with milk fat percentage and milk protein percentage, respectively. Finally, related SCC, milk fat percentage, and milk protein percentage DEGs and DEMs were mainly identified in the blood.

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Nicolás Messina, Diego. "Estimation of Arm Fat Percentage: from Segmental Bioimpedance to Anthropometry." International Journal of Kinanthropometry 4, no. 1 (2024): 24–31. http://dx.doi.org/10.34256/ijk2414.

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Introduction: Currently, there are no formulas to estimate the percentage of fat by segments of the body from anthropometric measurements. The objective of this work was to correlate the percentage of arm fat mass (obtained through segmental bioimpedance) with anthropometric measurements, to generate a prediction formula valid for both genders. Methods: A sample of 100 individuals (50 women and 50 men) from 18 to 70 years old was analyzed in this observational study. A bioimpedance analysis was performed along with anthropometric determinations according to ISAK standards. Results: The percentage of arm fat mass estimated by bioimpedance strongly and positively correlated with the triceps and biceps skin folds, the arm fat area, and its percentage of fat area, in both sexes. In women, the percentage of arm fat mass also correlated with body mass index, arm circumference, and arm muscle area. Conclusion: Through a linear regression formula applicable to both sexes, the percentage of arm fat can be estimated from three anthropometric measurements.

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N.M, Kavanashri, Keren Susan Cherian, Sudip Ghosh, and Venkata Ramana Yagnambhat. "Anthropometry and Physical Characteristics of Indian Badminton Players." International Journal of Kinanthropometry 3, no. 2 (2023): 78–83. http://dx.doi.org/10.34256/ijk2329.

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Introduction: Badminton is a fast-paced racket sport characterized by high-intensity intermittent actions interspersed with rest intervals. The role of anthropometry is critical in assessing athletes since the physique, body composition, physical growth, and one’s motor development are fundamental for optimal performance. Methods: 32 badminton players' anthropometry data was collected using ISAK protocol. Fat and fat free mass percentages were calculated using existing formulas. Results: Significant differences were observed across gender in body surface area, body density, fat mass, and fat free mass values. Body surface area, body density, and fat free mass and percentages are higher in male players and fat percentage and fat mass values are higher in female players. Conclusion: The average height of Indian players is less compared to other international players, whereas the fat percentage of both male and female players is relatively higher.

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Handayani, Heni Yuli, Khoirul Anwar, and Septyaningrum Septyaningrum. "The Effect of Tabata Exercise on Fat Percentage." Halaman Olahraga Nusantara (Jurnal Ilmu Keolahragaan) 5, no. 1 (2022): 305. http://dx.doi.org/10.31851/hon.v5i1.6876.

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Asgari, Rasmiyeh, Mohammad Reza Valizadeh, and Korosh Jafariyan. "Stimated Body Fat Percentage using Mechine Learning Techniques." journal of ilam university of medical sciences 25, no. 4 (2017): 171–78. http://dx.doi.org/10.29252/sjimu.25.4.171.

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Shao, Yuehjen E. "Body Fat Percentage Prediction Using Intelligent Hybrid Approaches." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/383910.

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Excess of body fat often leads to obesity. Obesity is typically associated with serious medical diseases, such as cancer, heart disease, and diabetes. Accordingly, knowing the body fat is an extremely important issue since it affects everyone’s health. Although there are several ways to measure the body fat percentage (BFP), the accurate methods are often associated with hassle and/or high costs. Traditional single-stage approaches may use certain body measurements or explanatory variables to predict the BFP. Diverging from existing approaches, this study proposes new intelligent hybrid approaches to obtain fewer explanatory variables, and the proposed forecasting models are able to effectively predict the BFP. The proposed hybrid models consist of multiple regression (MR), artificial neural network (ANN), multivariate adaptive regression splines (MARS), and support vector regression (SVR) techniques. The first stage of the modeling includes the use of MR and MARS to obtain fewer but more important sets of explanatory variables. In the second stage, the remaining important variables are served as inputs for the other forecasting methods. A real dataset was used to demonstrate the development of the proposed hybrid models. The prediction results revealed that the proposed hybrid schemes outperformed the typical, single-stage forecasting models.

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Hara, Masahide, Tetsunori Saikawa, Mamoru Kurokawa, Toshiie Sakata, and Hironobu Yoshimatsu. "Leg Fat Percentage Correlates Negatively With Coronary Atherosclerosis." Circulation Journal 68, no. 12 (2004): 1173–78. http://dx.doi.org/10.1253/circj.68.1173.

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Caputo, Jennifer L., Brandi M. Eveland-Sayers, Richard S. Farley, and Gina S. Evans. "Body Fat Percentage and Physical Fitness in Adolescents." Medicine & Science in Sports & Exercise 39, Supplement (2007): S399. http://dx.doi.org/10.1249/01.mss.0000274572.46615.e1.

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Singh, Harinderpal, and Rishiv Sharma. "A study of fat percentage and muscle mass." International Journal of Sports, Health and Physical Education 6, no. 1 (2024): 259–61. http://dx.doi.org/10.33545/26647559.2024.v6.i1d.133.

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Misra, Madhusmita, Debra K. Katzman, Jennalee Cord, et al. "Percentage extremity fat, but not percentage trunk fat, is lower in adolescent boys with anorexia nervosa than in healthy adolescents." American Journal of Clinical Nutrition 88, no. 6 (2008): 1478–84. http://dx.doi.org/10.3945/ajcn.2008.26273.

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Mech, L. David. "Precision of Descriptors for Percent Marrow Fat Content for White-tailed Deer, Odocoileus viriginianus." Canadian Field-Naturalist 122, no. 3 (2008): 273. http://dx.doi.org/10.22621/cfn.v122i3.615.

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Based on 168 records of both verbal descriptors of White-tailed Deer (Odocoileus virginianus) femur-marrow fat and percentage of fat measured later, “gelatinous” served well to distinguish fat < 46% from higher percentages. “Waxy” distinguished fat > 56%.

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Fernandes, Haniel. "Refeeding Day Strategies in Elite Soccer Players: A New Way to Maintain Performance Losing Body Fat Percentage." Journal of Clinical and Biomedical Investigation 3, no. 1 (2023): 20–21. http://dx.doi.org/10.52916/jcbi234025.

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The refeeding days strategies are already used by bodybuilders in pre-contest periods to increase the decrease in body fat percentage without impairing the performance of these athletes and maintain fat-free mass for their competition day. But, among elite soccer players, who always want to have low percentages of body fat, how could the refeeding days strategies be used? Perhaps in off-season periods where there is not so much concern in optimizing performance but in keeping the fat-free mass high and reducing the body fat percentage. This work demonstrates a scientifically based commentary with articles that address the subject and a proposal of how the prescription of a dietary week that includes refeeding days strategies for elite soccer players who want to reduce body fat percentage during off-season periods could be.

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Shiva, Shanth Reddy Ainala, Aljohani Nawaf, Roy Kaushik, Yuan Xiaohong, and A. Yu Huiming. "Study on Body Fat Density Prediction Based on Anthropometric Variables." International Journal of Data Mining & Knowledge Management Process (IJDKP) 5, no. 3 (2019): 1–8. https://doi.org/10.5281/zenodo.3532859.

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For a human body to function properly it is essential to have a certain amount of body fat. Fat serves to manage body temperature, pads and protects the organs. Fat is the fundamental type of the body's vitality stockpiling. It is important to have a healthy amount of body fat. Overabundance of fat quotient can build danger of genuine wellbeing issues. Anthropometry is a broadly accessible and basic strategy for the appraisal of body composition. Anthropometry measures are weight, height, Body Mass Index (BMI), waist, boundary, biceps, skinfold etc. The human fat percentage is figured by taking anthropometric variables. We proposed a methodology to determine the body fat percentage using R programming and regression formula. We analyzed 10 anthropometric variables and 3 demographic variables. Our study shows that the impact of certain variables has an edge over other in predicting body fat percentage.

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Johnson, ER, and CB Davis. "The use of physical measurements in live cattle to predict carcass composition." Australian Journal of Experimental Agriculture 31, no. 4 (1991): 479. http://dx.doi.org/10.1071/ea9910479.

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Of 13 physical measurements made on live cattle, anal fold fat thickness measured with a hand caliper and fasted liveweight were the most accurate predictors of carcass composition, particularly when used together. Anal fold fat thickness plus fasted liveweight predicted the percentages (mean � s.e. of estimate) of side muscle (59.62 � 1.80), side bone (14.23 � 0.81) and side fat (23.58 � 2.18). Scanoprobe measurements made on live animals were correlated (P<0.01) with the actual carcass measurements as follows: fat thickness at the 10th rib, 0.50; fat thickness at the 12th rib, 0.69; muscle depth at the 10th rib, 0.56; muscle depth at the 12th rib, 0.66. Anal fold fat thickness, with a standard error of estimate of 2.22%, was a better predictor of percentage side muscle than the live Scanoprobe measurements, depth of M. longissimus at the 12th rib (3.44%) and depth of M. gluteus medius (3.61%). When used to measure the fat depth over M. longissimus at the 12th rib in live cattle, the standard errors of estimate of the Scanoprobe in predicting percentage side muscle and percentage side fat were not significantly different from those of anal fold fat thickness determined with the caliper. For the prediction of percentage side muscle the errors for Scanoprobe and caliper were 3.44 and 2.22, respectively; for the prediction of percentage side fat they were 3.79 and 3.12, respectively. Tuber coxae width, the most accurate of the linear skeletal measurements in predicting side bone percentage, was not as accurate as anal fold fat thickness (s.e. of estimate, 1.02 v. 0.89%).

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Bertram, M. J., W. D. Schoenherr, E. J. Eisen, and M. T. Coffey. "Effects of dietary protein level on growth and body composition in mice divergently selected for fat content." Canadian Journal of Animal Science 76, no. 4 (1996): 613–20. http://dx.doi.org/10.4141/cjas96-090.

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A study was conducted to examine the effects of dietary protein percentage and selection for divergence in fat content on growth and body composition in mice. The three lines used had been selected as follows: high epididymal fat pad weight as a percentage of body weight (HF), low epididymal fat pad weight as a percentage of body weight (LF) and a randomly selected control (RC). Mice from each line were allotted at weaning (3 wk of age) to one of four dietary protein percentages: 12, 16, 20, and 24%. Growth and efficiency of feed conversion were measured at 2-wk intervals and mice were killed and body composition was measured at 9-wk of age. Overall, HF mice grew faster were more efficient at converting feed to body weight gain, and had empty carcasses with a higher percentage of tat (P < 0.05) and a lower percentage of protein than LF mice. However, fat-free empty-body protein and ash percentages, protein gain, protein gain:protein intake, and protein gain:energy intake ratios were not different among genotypes. As dietary protein percentage increased, gain:feed ratio increased quadratically (P < 0.05) in all genotypes and was maximized m mice consuming 16% protein. Protein gain was maximized in mice consuming 16% protein. Feeding diets providing protein percentages above or below 16% depressed protein gain and protein gain:energy intake ratio. Genetic line-by-dietary-protein-level interactions were generally not significant for growth, feed efficiency and body composition traits. Key words: Mice, dietary protein, growth, body composition, fat deposition

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Martin, Ryan, Gabrielle Giersch, Courtney Stosnider, Jacob D. Ridings, Christopher J. Womack, and Trent A. Hargens. "Obstructive Sleep Apnea Increases Visceral Fat Deposition but Not Total Body Fat Percentage." Medicine & Science in Sports & Exercise 48 (May 2016): 356. http://dx.doi.org/10.1249/01.mss.0000486081.20890.33.

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Delia Nova, T., and A. Firda. "Utilization of Bidara Leaf Plant (Ziziphus mauritiana) as Feed Aditive For Carcass, Abdomen Fat, and Inside Organ In Raja Duck." IOP Conference Series: Earth and Environmental Science 1341, no. 1 (2024): 012013. http://dx.doi.org/10.1088/1755-1315/1341/1/012013.

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Abstract This study aims to determine the application of Bidara leaves (Ziziphus mauritiana) as a feed additive at different percentages of carcasses, abdominal fat, and internal organs in Raja ducks. This study used 80 DOD Raja ducks. This study used an experimental method with a randomized block design (RBD) consisting of 4 treatments and 5 groups. Treatment of Bidara leaf plants A(0%), B(1%), C(2%) and D(3%). The results showed that the use of Bidara leaves as a feed additive, using a percentage of 2% was the best for carcass percentage of 66.79%, abdominal fat percentage of 0.78%, liver percentage of 2.27%, and proventriculus percentage of 0.42%. Efficient in using Bidara leaf plants against Raja ducks. The conclusion of this study showed that the use of Bidara leaves as a feed additive at different percentages had significance on the abdominal fat carcasses and internal organs of the Raja duck, but had nonsignificant on the proventriculus organs.

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Nova, T. D., R. Zein, and T. I. Arlin. "Using garlic (Allium sativum) as a feed additive can help hybrid ducks lose belly fat." E3S Web of Conferences 373 (2023): 01012. http://dx.doi.org/10.1051/e3sconf/202337301012.

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The purpose of this study is to ascertain the effects of using garlic (Allium sativum) as a feed addition at various percentages on hybrid ducks' performance, energy usage, carcass, and belly fat. In this investigation, 80 was a randomized block design (RBD) with 5 replications and treatments. Treatments with garlic flour included A (0%), B (0.5%), C (1%), and D (1.5%). Energy consumption, carcass percentage, and belly fat percentage were the variables that were measured. The findings demonstrated that the performance, energy consumption, and carcass percentage of hybrid ducks were not significantly affected by the use of garlic flour as a feed addition at various percentages. Yet there was a hybrid ducks' belly fat showed a significant influence (Pandlt;0.05), however the study's findings revealed that adding garlic meal at a 0.5% percentage had the best effects on calorie intake. Using garlic meal, 1.0%.

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Johnson, ER. "Comparison of twelfth rib and rump fat thickness measurements for predicting commercial beef yield in local market carcasses." Australian Journal of Experimental Agriculture 27, no. 5 (1987): 613. http://dx.doi.org/10.1071/ea9870613.

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The abilities of 12th rib and rump fat thickness measurements to predict yield of saleable beef were compared in 40 Hereford steer carcasses weighing 173-235 kg. Saleable beef yield and fat trim were significantly related (P< 0.05) to all 4 fat thickness measurements studied, rump P8, rump sacral crest, 12th rib (all cold) and 12th rib (hot). Rump measurements generally, had slightly lower standard errors of estimate than the 12th rib measurements in predicting the weights and percentages of saleable beef yield and fat trim. Rump P8 predicted saleable beef yield weight, saleable beef yield percentage, fat trim weight and fat trim percentage with means (� s.e.) of 72.55 (� 6.69) kg, 70.52 (� 0.72)%, 7.23 (� 0.86) kg and 6.99 (� 0.68)%, respectively. Multiple regression analysis showed that the addition of hot carcass weight or cold carcass weight as the second regressor resulted in predictions of similar accuracy. Quadratic analyses indicated that weight or percentage of cuts, manufacturing trim, saleable beef yield and fat trim were linearly related to 12th rib (cold) fat thickness and to P8 fat thickness.

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ALI, T. E., and L. R. SCHAEFFER. "SIRE-SON CORRELATIONS OF GENETIC EVALUATIONS FOR FAT PERCENTAGE IN HOLSTEIN-FRIESIANS." Canadian Journal of Animal Science 67, no. 3 (1987): 631–35. http://dx.doi.org/10.4141/cjas87-066.

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The correlation between sire and son genetic evaluations for fat percentage has been shown to be lower than corresponding correlations for milk or fat yield for the population of bulls in artificial insemination. The purpose of this study was to determine the cause of this low correlation. Based on 302 935 first-lactation daughters of 11 396 sires, the heritabilities of milk, fat and fat percentage were 0.28, 0.27 and 0.52, respectively. Indirect versus direct calculation of sire evluations for fat percentage were correlated at 0.997, and resulting sire-son correlations were 0.45 for directly calculated proofs and 0.43 for indirectly calculated proofs. The low sire-son correlations were due to the intense selection of sires of sons, especially for fat percentage, which resulted in a change in genetic parameters among the bulls used as sires of sons compared to the parameters in the overall population. Key words: Fat percentage, pedigree indexing, dairy sires

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Dr., Suresh Kumar. "A COMPARATIVE STUDY OF HEART RATE AND BODY FAT PERCENTAGE AMONG UNIVERSITY STUDENTS." International Journal of Current Research and Modern Education 3, no. 1 (2018): 616–18. https://doi.org/10.5281/zenodo.3551478.

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The present study will aware to the teachers, parents and students about university students health status and to further research projects in this field will be helpful in planning out a health programme of other students like colleges, Schools on the basis of findings and conclusions. Thus, it would lead to improvement the standard of health status in Universities.For fulfillment this purpose researcher comparesheart rate and body fat percentage of CBLU students. The study was carried out on 158 students (who studied in different departments of Chaudhary bansilal university) were taken to help in assessing and comparing the difference in total heart rate and body fat percentage. The data was collected by use of measurements of heart rate and body fat percentage. The data was analyzed and compared with the help of statistical procedures in which arithmetic mean, standard deviation (S.D.), correlation were employed. The value of correlation was 0.056 which shows that the positive correlation between university student’s heart rate and university student’s body fat percentage.

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Isti, Isti Dwi Puspita, Nining Widyah Kusnanik, Endang Sri Wahjuni, Y. Touvan Juni Samodra, Asriah Nurdini Mardiyyaningsih, and Didi Suryadi. "The BMI, fat percentage and total cholesterol of athletes: what is their status?" Retos 51 (October 21, 2023): 712–18. http://dx.doi.org/10.47197/retos.v51.100275.

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There is a mutual relationship between body mass index (BMI), percentage of fat, and total cholesterol levels in the blood. Maintaining a normal BMI becomes a reference for health maintenance. A higher BMI increases the risk of a higher percentage of fat and cholesterol which contribute to a negative impact on health. This study was conducted to determine whether the BMI, fat levels and total blood cholesterol of sportsmen can be maintained properly. The research involved 323 athletes, ranging from 13 - 46 years with an average of 22 years of age. The participants represented 26 sports fields. The BMI test is done by measuring their weight and height. Fat percentage test was conducted by measuring the total fat of triceps, abdominal, and supra iliac fat, as well as by measuring the width of the upper arm, humeral, and femur. The total cholesterol was determined from the blood sample. All data were analyzed using Excel and SPSS IMB serial 26. Results showed that on average the BMI status was 22.82, meanwhile, the percentage of fat was 18.94 and the total cholesterol was 170.77. There was a high correlation between BMI and the percentage of fat (0.505). However, the correlation between BMI and cholesterol was not significant, and only a low correlation was detected between fat percentage and cholesterol. Keywords: BMI, Fat Percentage, Total Cholesterol, Athlete

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Rinki, Hada. "A Study Of Correlation Of Pulmonary Functions And Percentage Of Body Fat In Normal And Overweight Medical Students." International Journal of Basic and Applied Physiology 1, no. 1 (2021): 61–95. https://doi.org/10.5281/zenodo.4468641.

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Background & Objectives: Clinically less severe obesity like overweight is not generally thought to have significant effect on ventilator function. The purpose of our study is to explore effects of body fat percentage and its distribution on ventilatory functions. We hypothesized that there is significant difference in Pulmonary Function among normal and overweight young healthy adults. Objectives: To assess & compare the difference in Pulmonary Function Tests among normal and overweight young healthy adults and to detect the correlation between Pulmonary Function Tests and Body fat percentage if any. Method: The study underwent in one forty eight young healthy medical students (74 male & 74 female) of 18-25 years of SMS Medical College, Jaipur categorized into 4 groups - Normal weight (37 males and 37 females) & over weight (37males and 37 females) on the basis of BMI. After measuring skin fat thickness with the help of Lange calliper, body fat percentage was calculated by Durnin and Womersley method. Body fat distribution was also estimated by measuring waist hip ratio and then pulmonary function tests were recorded by spirometer(Medspiror) in all groups. Results: Analysis done by using SPSS window. Simple regression was used to determine correlation and ‘r’ is coefficient of correlation. In males and females overweight groups forced vital capacity (FVC), and FEV1 were decreased significantly (P<0.05). In males group body fat % showed significant negative correlation with FVC (r = –0.2), and FEV1 (r = –0.20). It is seen that body fat % in females also had negative correlation with FVC (r = –0.2) and FEV1(r= –0.24). Whereas WHR with FVC in males shows(r= –7.3) and with FEV1(r= –7.4). In case of females subject WHR also shows negative correlation with FVC(r= –11.6) and FEV1 (r= –10.5). Interpretation & Conclusion: Our study shows that increase in body fat percentage itself and the way of fat distribution have sovereign effects on pulmonary functions.

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Natan, Okdi, Yuniar Lestari, Dessy Arysanty, and Delmi Sulastri. "Association between carbohydrate and fat intake and estradiol levels with body fat percentage in Minangkabau ethnic premenopausal women, in Padang City West Sumatra year 2018." International Journal of Research in Medical Sciences 7, no. 2 (2019): 600. http://dx.doi.org/10.18203/2320-6012.ijrms20190364.

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Background: Excessive carbohydrate and fat intake with excess estradiol levels will cause an increase in body fat percentage, thus causing obesity in premenopausal women. Objective was to determine the association between carbohydrate intake with fat percentage, the association between fat intake with fat percentage, the association between SAFA intake with fat percentage, the association between MUFA intake with fat percentage, the association between PUFA intake with fat percentage, and the association between estradiol levels with fat percentage in Minangkabau ethnic premenopausal women in Padang City, West Sumatra.Methods: This research was carried out in Padang City. Research conducted was observational research with cross sectional research design. Subjects in this research were 52 people. Variables in body fat percentage were measured using Bioelectrical Impedance Analysis (BIA), carbohydrate and fat intake data were obtained by interviewing the Food Frequency Questionnaire (FFQ), and estradiol levels were examined by ELISA. Data analysis was performed using Pearson correlation test.Results: In premenopausal women in the city of Padang, low carbohydrate intake was found with an average of 227.25grams, high fat intake was found with an average of 77.84grams, high SAFA intake was found with an average of 27.59grams, low MUFA intake was found with an average of 9.91grams, normal PUFA intake was found with an average of 9.37grams, normal estradiol levels was found with an average of 145.95pg/ml, and more fat percentage was found with an average of 33.31.Conclusions: There was an association between carbohydrate intake with fat percentage, there was an association between fat intake with fat percentage, there was an association between SAFA intake with fat percentage, there was an association between MUFA intake with fat percentage, there was an association between PUFA intake with fat percentage, and no association between estradiol levels with of fat percentage in premenopausal women in Padang City.

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Subramanian, Senthil Kumar, Rajathi Rajendran, Anumalasetty Venkata Vijaya Sai, and Siriki Ramachandra. "Correlation of Neck Circumference with Body Fat Percentage by Bioelectrical Impedance Analysis." International Journal of Kinanthropometry 3, no. 1 (2023): 102–8. http://dx.doi.org/10.34256/ijk23111.

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Introduction: Obesity is a significant public health concern associated with various health risks. Accurate and accessible methods for assessing body fat percentage are essential for obesity evaluation. This study aimed to investigate the relationship between neck circumference and body fat percentage, considering bioelectrical impedance analysis as the reference method. Methods: A cross-sectional study was conducted among 63 male medical and paramedical students aged 18 to 25 years. Neck circumference, body fat percentage, weight, height, and body mass index (BMI) were measured using standardized techniques. Statistical analysis included descriptive statistics, correlation analysis, and significance testing. Results: The mean neck circumference was 37.4 cm (SD = ±1.6), and the mean body fat percentage was 22.8% (SD = ±4.5). A strong positive correlation was observed between neck circumference and body fat percentage (r = 0.75, p ≤ 0.001). The results indicated that neck circumference can serve as a practical and accessible measurement for estimating body fat percentage. Conclusion: Neck circumference strongly correlated with body fat percentage, suggesting its potential as an obesity assessment tool. Further research involving larger and more diverse populations is needed to validate these findings and explore the clinical implications of using neck circumference in obesity evaluation.

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Sargeant, J. M., K. E. Leslie, M. M. Shoukri, S. W. Martin, and K. D. Lissemore. "Trends in milk component production in dairy herds in Ontario: 1985–1994." Canadian Journal of Animal Science 78, no. 3 (1998): 413–20. http://dx.doi.org/10.4141/a97-106.

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The objectives of this study were to investigate the dynamics of milk component production in dairy herds in Ontario, Canada, over time and to assess the impact of changes to the allocation of milk quota and payment systems on component production. The data consisted of monthly production records from all of the approximately 11 000 farms that shipped milk in Ontario between March 1985 and July 1994.Farm mean yields of milk and milk components have increased over the past decade. The mean fat percentage among the farms increased from 3.85% in 1985 to 3.99% in 1994; protein percentage remained relatively constant at 3.30% in 1985 to 3.32% in 1994. The percentages of protein and fat showed a seasonal pattern. Relatively high component percentages were observed during the fall of each year, and low component percentages were observed during the summer months. Mean fat and protein percentages did not appear to change in response to changes in the allocation of quota or pricing systems. Farms with high (or low) relative protein percentage in one year tended to maintain high (or low) relative protein percentage in the subsequent year, suggesting that herd level factors are related to protein percentage. Key words: Milk components, time trends, dairy

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Shavela, Aliza, and Mariani. "The Association between Body Fat Percentage and Incidence of Prehypertension among Medical Student." Sriwijaya Journal of Medicine 3, no. 2 (2020): 84–94. http://dx.doi.org/10.32539/sjm.v3i2.68.

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INTRODUCTION. The prevalence of prehypertension in Indonesia is 48,4%. Obesity is one of the risk factors fordeveloping prehypertension. Obesity can be measured using body fat percentage. A high body fat percentage will increasethe level of plasma angiotensinogen, renin, the activity angiotensin-converting enzyme, and aldosterone. These factors contribute to higher blood pressure. This study aims to determine whether there is a significant association between body fat percentage and incidence of prehypertension.METHODS. This study is an analytic study with cross-sectional study approach. Data collection was carried out with a total of 106 respondents aged around 17- 22 years. This researched was conducted from August to September 2019 at the Faculty of Medicine and Health Science of Atma Jaya. The research data were collected through filling out a demographic questionnaire, blood pressure measurement using sphygmomanometer, and body fat percentage measurement using bioelectrical impedance analysis. Bivariate analysis of the association between gender and blood pressure, the association between gender and body fat percentage, and the association of body fat percentage with blood pressure were analyzed using the chi-square method.RESULTS. The bivariate analysis shows that there is a significant association between gender and blood pressure (p=0,001), the association between gender and body fat percentage (p=0,000) and the association between body fat percentage and the incidence of prehypertension (p=0,000) with OR = 3,992CONCLUSION. A high body fat percentage is a risk factor for developing prehypertension.

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*, Samir Ranjan Dash Pravat Kumar Padhy**. "EFFECT OF BYPASS FAT FFEDING ON FEED INTAKE AND CORRELATION WITH MILK PRODUCTION AND BODY CONDITIONS OF CROSS BREED LACTATING COWS IN COASTAL DISTRICT OF ODISHA." MULTILOGIC IN SCIENCE XIII, no. XXXXVI (2023): 631–36. https://doi.org/10.5281/zenodo.7789287.

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A total of sixty reproductive crossbreed cows were selected for this experiment which were divided into  two groups in equal numbers of 30 animals in each.  Animals in control group (C) were maintained as per the traditional practices of the farmer where as treatment groups were fed bypass fat @ 200 g along with mineral mixture 100gm per day   for 45 days per animal in (T1 )group. The performances were measured in tunes of milk yield, fat percentage; SNF percentage and price of milk realized by the farmers and net return   were calculated. The average daily gain in milk per animal, fat percentage and SNF percentage   of the treatment group differed significantly at  (p<0.05) from the control group. Higher percentage of fat   , SNF in milk and   net return was achieved in treated group followed by control group. Due to increase in fat and SNF % percentage in milk the price realized by the dairy farmers was higher as compared to control group.  The higher percentage of milk yield and milk Fat % was in treated group. It may be concluded that mineral mixture and bypass fat supplementation increased milk yield and fat percentage of milk and milk price of crossbred cows, which increased dairy farmer’s net return.

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Rickta, Jannatul Ferdaus, Yeasir Arafat, Fatima Tus Johora Mukta, and Rezaul Islam. "Correlation between body fat percentage and aerobic capacity in various athletes." Scientific Journal of Sport and Performance 4, no. 1 (2024): 85–91. https://doi.org/10.55860/xeoz6800.

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Introduction: The Body Fat Percentage is an indicator of the Body's fitness level and its effects on VO2max and thus the cardiovascular status of the athletes. Physical exercise can help to improve a healthy life interestingly. Aims: This study aims to understand the relationship between Body Fat Percentage and Aerobic Capacity of different athletes. Methods: A total of 150 athletes were randomly selected as the subjects for the present study. In the present study VO2max was measured by Step test in millimeters of oxygen per kilogram of body weight per minute (ml.kg-1.min-1) and Fat percentage was measured by Skinfold Calliper in Millimeters (mm). The collected data were inferential statistics and an independent t-test was applied to check the level of significance. The significance level was set at p < .05. Descriptive and for the relationship appropriate multiple relation statistical tools will be used for the analysis of gathering data. Results: In between fat percentage and Step Test Pulse rate (b/min) coefficient of correlation (r = .441) and level of significance (p = .00) indicated statistical significance with a small positive correlation. At the time relationship between fat percentage and VO2max (ml/kg/min) (r = -.450) and level of significance (p = .00) indicated a statistically significant and medium negative correlation. Conclusion: The relationship between body fat percentage variables and VO2max was statistically significant and indicated a negative correlation but step pulse rate and fat percentage were statistically significant with a small positive correlation.

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Cho, A.-Ra, Eunkyung Suh, Hyoju Oh, Baek Hwan Cho, Minchan Gil, and Yun-Kyong Lee. "Low Muscle and High Fat Percentages Are Associated with Low Natural Killer Cell Activity: A Cross-Sectional Study." International Journal of Molecular Sciences 24, no. 15 (2023): 12505. http://dx.doi.org/10.3390/ijms241512505.

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This study aimed to investigate whether body fat and muscle percentages are associated with natural killer cell activity (NKA). This was a cross-sectional study, conducted on 8058 subjects in a medical center in Korea. The association between the muscle and fat percentage tertiles and a low NKA, defined as an interferon-gamma level lower than 500 pg/mL, was assessed. In both men and women, the muscle mass and muscle percentage were significantly low in participants with a low NKA, whereas the fat percentage, white blood cell count, and C-reactive protein (CRP) level were significantly high in those with a low NKA. Compared with the lowest muscle percentage tertile as a reference, the fully adjusted odd ratios (ORs) (95% confidence intervals (CIs)) for a low NKA were significantly lower in T2 (OR: 0.69; 95% CI: 0.55–0.86) and T3 (OR: 0.74; 95% CI: 0.57–0.95) of men, and T3 (OR: 0.76; 95% CI: 0.59–0.99) of women. Compared with the lowest fat percentage tertile as a reference, the fully adjusted OR was significantly higher in T3 of men (OR: 1.31; 95% CI: 1.01–1.69). A high muscle percentage was significantly inversely associated with a low NKA in men and women, whereas a high fat percentage was significantly associated with a low NKA in men.

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Harshkant Gharote, Kumar Pushpanshu, Rachna Kaushik, and Radhika Gharote. "Estimation of Body Fat Percentage in Oral Squamous Cell Carcinoma." International Healthcare Research Journal 2, no. 11 (2019): 291–96. http://dx.doi.org/10.26440/ihrj.v2i11.207.

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BACKGROUND: The purpose of this study was to calculate the body fat percentage and learn its relationship with body mass index in oral squamous cell carcinoma. MATERIALS AND METHOD: the study comprised of 31 oral squamous cell carcinoma patients and 28 controls. Body mass index was calculated for each individual by recording the height (in meters) and weight (in Kilograms). Prediction equations given by Deurenberg, Gallagher and Jackson-Pollock were used to calculate body fat percentage. RESULTS: Definite correlation between body fat percent and body mass index was found in oral squamous cell carcinoma and controls. Comparisons of body fat percentages between both groups were found to be statistically significant in Gallagher (p = 0.04) and Jackson-Pollock (p = 0.03) equations. CONCLUSION: This study suggests that body fat percentage can be a useful indicator for assessing severity of lipolysis due to cachexia in cancer patients. The study can help in evaluating nutritional status during postoperative care of cancer patients.

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Behera, Swikruti, Ayaskant Sahoo, and P. Satyanarayana. "Relationship of blood group with body fat percentage, visceral fat, and waist-hip ratio." National Journal of Physiology, Pharmacy and Pharmacology 6, no. 6 (2016): 591. http://dx.doi.org/10.5455/njppp.2016.6.0615624062016.

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Williams, D. P. "Relationship of body fat percentage and fat distribution with dehydroepiandrosterone sulfate in premenopausal females." Journal of Clinical Endocrinology & Metabolism 77, no. 1 (1993): 80–85. http://dx.doi.org/10.1210/jc.77.1.80.

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Firdaus, Nais Volum, Tonang Dwi Ardyanto, and Isna Qadrijati. "RELATIVE FAT MASS AND BIOELECTRICAL IMPEDANCE ANALYSIS TO MEASURE BODY FAT PERCENTAGE IN ADOLESCENTS." Media Penelitian dan Pengembangan Kesehatan 33, no. 3 (2023): 117–22. http://dx.doi.org/10.34011/jmp2k.v33i3.1774.

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Relative Fat Mass (RFM) adalah metode pengukuran persentase lemak tubuh yang ditemukan oleh para peneliti di Cedars-Sinai Medical Center di California, Amerika Serikat pada tahun 2018 dengan memasukkan tinggi badan dan lingkar pinggang seseorang ke dalam rumus dan dapat digunakan pada remaja usia 15-19 tahun. Bioelectrical impedance analysis (BIA) adalah alat yang menggunakan empat elektroda, dua di antaranya digunakan untuk menghantarkan arus sinusoidal 50 kHz ke tubuh dan sisanya digunakan untuk mengukur tegangan yang dihasilkan oleh tubuh untuk analisis impedansi. Tujuan penelitian ini untuk menganalisis hubungan Relative Fat Mass (RFM) dan Bioelectrical Impedance Analysis (BIA) untuk pengukuran persen lemak tubuh pada remaja. Penelitian yang digunakan merupakan penelitian kuantitatif dengan desain penelitian studi cross-sectional. Jumlah responden sebanyak 117 orang terdiri dari 40 laki-laki dan 77 perempuan. Pengukuran persen lemak tubuh menggunakan Relative Fat Mass (RFM) dengan memasukan pengukuran tinggi badan dan lingkar pinggang ke dalam rumus. Pengukuran persen lemak tubuh menggunakan Bioelectrical Impedance Analysis (BIA), body composition monitor, Model HBF-375. Analisis data menggunakan uji Rank Spearman. Penelitian ini menemukan signifikasi p-value sebesar 0,000<0,05. Dapat disimpulkan bahwa RFM dan BIA memiliki hubungan yang signifikan terhadap pengukuran persen lemak tubuh remaja. Dengan demikian, Relative Fat Mass (RFM) dapat digunakan untuk pengukuran persen lemak tubuh selain menggunakan Bioelectrical Impedance Analysis (BIA) pada remaja.

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Williams, D. P., T. W. Boyden, R. W. Pamenter, T. G. Lohman, and S. B. Going. "Relationship of body fat percentage and fat distribution with dehydroepiandrosterone sulfate in premenopausal females." Journal of Clinical Endocrinology & Metabolism 77, no. 1 (1993): 80–85. http://dx.doi.org/10.1210/jcem.77.1.8325963.

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Wongpom, Bodin, Skorn Koonawootrittriron, Mauricio A. Elzo, and Thanathip Suwanasopee. "Milk yield, fat yield and fat percentage associations in a Thai multibreed dairy population." Agriculture and Natural Resources 51, no. 3 (2017): 218–22. http://dx.doi.org/10.1016/j.anres.2016.12.008.

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Kagawa, Masaharu, Deborah Kerr, and Colin W. Binns. "New Percentage Body Fat Prediction Equations for Japanese Males." Journal of PHYSIOLOGICAL ANTHROPOLOGY 25, no. 4 (2006): 275–79. http://dx.doi.org/10.2114/jpa2.25.275.

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Journal articles on the topic 'Fat percentage'

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