scholarly journals Association between Body Mass Index and Body Fat in College Students

2011 ◽  
Vol 17 (1) ◽  
pp. 18-24
Author(s):  
Chang Hung HUNG

LANGUAGE NOTE | Document text in English; abstract also in Chinese. This study explored the association between BMI and body fat assessed by bioelectrical impedance analysis (BIA) in college students. Cross-sectional studies of 2,531 college students were measured. BIA was used to quantify body fat mass (BFM), percentage of body mass (%BF) and visceral fat area (VFA). Significant correlations between BMI and BFM, %BF, VFA were fund, respectively (r=0.923, 0.836, 0.912 in male, p<0.001; r=0.920, 0.741, 0.920 in female, p<0.001). Regression analysis revealed that 85.3%, 69.9%, and 83.1% of the variance for BFM, %BF, and VFA could be explained by BMI in male students (p<0.001); and 84.7%, 54.9%, and 84.6% of the variance for BFM, %BF, VFA could be explained by BMI in female students (p<0.001). BFM and VFA were highly associated with BMI in college students, suggesting that BMI serves as a good surrogate marker for obesity in college students aged 18-24 years. However, a significantly medium correlation existed in BMI and %BF, which may be a limitation for BMI, when used to study risk factors for cardiovascular or metabolic diseases. 本研究主要探討大學生身體質量指數 (BMI) 與體脂肪之關連性。總共有2,531位大學生進行測量。以生物電阻分析(BIA) 身體脂肪量 (BFM)、身體脂肪百分比 (%BF) 與內臟脂肪 (VFA),結果顯示: BMI與BFM、%BF、VFA均達顯著相關 (p<0.001)。本研究結果顯示大學生族群BMI與BFM、VFA有高度的關連性。因此,建議BMI可以做為18–24歲大學生族群評估肥胖之替代指標。然而,由於BMI與%BF僅存著中等的關連性,如果以BMI作為研究心血管或代謝疾病的危險因子,可能會成為研究之限制。

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e036335
Author(s):  
Bo Gao ◽  
Yu Liu ◽  
Chao Ding ◽  
Shunli Liu ◽  
Xiaotian Chen ◽  
...  

ObjectivesBioelectrical impedance analysis (BIA) is a simple and inexpensive method to estimate body composition. However, the accuracy of BIA is unknown. We aimed to assess the accuracy of BIA in estimating visceral fat area (VFA) in patients with gastric cancer.Study designThis was a cross-sectional study comparing the accuracy of BIA in estimating VFA with the gold standard method measured by CT. VFA was measured in enrolled patients both by CT and BIA. VFA by CT at umbilical level ≥100 cm2 was considered as visceral obesity. Reliability between the two methods was assessed by intraclass correlation coefficient (ICC) and consistency was assessed by Bland-Altman method (95% limits of agreement). The area under the receiver operating characteristic curve (AUROC) was used to assess the performance of BIA in diagnosing visceral obesity.SettingThe study was conducted in China.ParticipantsFrom 1 January 2017 to 1 December 2018, a total of 157 patients diagnosed with gastric cancer were enrolled.ResultsOverall, VFA by CT and BIA in patients was 84.39±46.43 cm2 and 71.94±22.44 cm2, respectively. VFA estimated by BIA was positively correlated with VFA measured by CT using Pearson’s test (r=0.650, p<0.001). Overall, ICC for the two methods was 0.675. The mean bias between the two measurements was 12.45±36.13 cm2. The 95% limits of agreement ranged from −58.36 cm2 to 83.26 cm2. The cut-off value for diagnosing visceral obesity by BIA was 81 cm2 (AUROC: 0.822, p<0.001, 95% CI 0.758 to 0.887).ConclusionsVFA measured by BIA showed satisfactory reliability with that measured by CT. However, the absolute values of the two methods were not interchangeable. The cut-off value for VFA by BIA in diagnosing visceral obesity was 81 cm2 for patients with gastric cancer in the Chinese population.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Kochakorn Sithinamsuwan ◽  
Pat Mahachoklertwattana ◽  
Somboon Wankanit ◽  
Suwannee Chanprasertyothin ◽  
Sarunyu Pongratanakul ◽  
...  

Objective. Kisspeptin, a puberty control neuropeptide, has been discovered to have an additional role in metabolism and glucose homeostasis regulation. This study aimed to determine the association of serum kisspeptin with metabolic parameters and glucose metabolism in obese children. Design, Patients and Measurements. A cross-sectional study of 270 obese children was conducted. All children underwent an oral glucose tolerance test and had serum kisspeptin, glycated hemoglobin (HbA1c), and lipid profile measurements. Body fat mass was assessed by bioelectrical impedance analysis. Serum kisspeptin levels of both prepubertal and pubertal children with two HbA1c ranges, <5.7% (normal range) and 5.7–6.4% (prediabetes range), were analyzed and correlated with metabolic parameters and glucose metabolism status. Results. The median (IQR) serum kisspeptin level of only pubertal (not prepubertal) children with prediabetes HbA1c was higher than those with normal HbA1c (53.2 (33.9, 69.8) and 37.8 (29.6, 67.5) pg/mL; p = 0.015 , respectively). There were no differences in serum kisspeptin levels among children with different glucose metabolism status. During pubertal progression, serum kisspeptin reached the highest level at Tanner stage II only in obese boys. Additionally, there was a positive correlation between serum kisspeptin and HbA1c after adjusting for puberty (β = 12.87; p = 0.001 ). No correlations between serum kisspeptin and insulin sensitivity indices, insulin secretion indices, lipid profile, blood glucose, as well as percentage of body fat were demonstrated. Conclusions. Serum kisspeptin levels in pubertal obese children with prediabetes HbA1c were greater than those with normal HbA1c. Serum kisspeptin was positively associated with HbA1c, but not with glucose metabolism status.


2016 ◽  
Vol 5 ◽  
Author(s):  
Saijuddin Shaikh ◽  
Jessica Jones-Smith ◽  
Kerry Schulze ◽  
Hasmot Ali ◽  
Parul Christian ◽  
...  

AbstractAsian populations have a higher percentage body fat (%BF) and are at higher risk for CVD and related complications at a given BMI compared with those of European descent. We explored whether %BF was disproportionately elevated in rural Bangladeshi women with low BMI. Height, weight, mid-upper arm circumference, triceps and subscapular skinfolds and bioelectrical impedance analysis (BIA) were measured in 1555 women at 3 months postpartum. %BF was assessed by skinfolds and by BIA. BMI was calculated in adults and BMI Z-scores were calculated for females <20 years old. Receiver operating characteristic (ROC) curves found the BMI and BMI Z-score cut-offs that optimally classified women as having moderately excessive adipose tissue (defined as >30 % body fat). Linear regressions estimated the association between BMI and BMI Z-score (among adolescents) and %BF. Mean BMI was 19·2 (sd 2·2) kg/m2, and mean %BF was calculated as 23·7 (sd 4·8) % by skinfolds and 23·3 (sd 4·9) % by BIA. ROC analyses indicated that a BMI value of approximately 21 kg/m2 optimised sensitivity (83·6 %) and specificity (84·2 %) for classifying subjects with >30 % body fat according to BIA among adults. This BMI level is substantially lower than the WHO recommended standard cut-off point of BMI ≥ 25 kg/m2. The equivalent cut-off among adolescents was a BMI Z-score of –0·36, with a sensitivity of 81·3 % and specificity of 80·9 %. These findings suggest that Bangladeshi women exhibit excess adipose tissue at substantially lower BMI compared with non-South Asian populations. This is important for the identification and prevention of obesity-related metabolic diseases.


2005 ◽  
Vol 33 (06) ◽  
pp. 851-858 ◽  
Author(s):  
Ho-Jun Kim ◽  
Dympna Gallagher ◽  
Mi-Yeon Song

Bioelectrical impedance analysis (BIA), a device that analyzes the current conduction differences between the fat and water components is widely used for reasons that include convenience of use, non-invasiveness, safety, and low cost. Dual energy X-ray absorptiometry (DXA) allows for the assessment of total body and regional lean and fat tissues and bone mineral content (BMC). The objective of this study was to compare body composition assessments by BIA and DXA before and after a 6-week herbal diet intervention program in 50 pre-menopausal women [mean ± SD: age 30.58 ± 6.15, body mass index (BMI) 31.72 ± 3.78]. Waist-to-hip ratio (WHR) was measured by BIA and anthropometry. Lean body mass (LBM), body fat (BF), BMC and percent body fat (%BF) were measured by BIA and DXA. Highly significant correlations were observed between BIA and DXA measurements for LBM, BF, BMC and %BF (r = 0.73, 0.93, 0.53, 0.79, respectively) before the intervention. Differences between BIA and DXA measurements were observed in LBM, BF, %BF and BMC before intervention ( p < 0.01) where WHR by BIA was significantly higher compared to anthropometry before ( p < 0.01) and after the intervention ( p < 0.01). BIA underestimated LBM by 1.85 kg and overestimated BF by 2.54 kg compared to DXA before the intervention. Although BIA and DXA showed highly significant correlations for LBM, BF, BMC and %BF before the intervention, they did not produce statistically comparable results in pre-menopausal Korean women and therefore should not be used interchangeably when measuring body composition.


Author(s):  
Roselya Mutiara Pratiwi ◽  
Ni Luh Putu Arum Puspitaning Ati

Backgound: Measurement of body fat percentage as estimates of obesity, which can be done with the method of measuring the bioelectrical impedance analysis (BIA) and the meter inches inelastic. Both of these methods can be used as a simple, safe and non-nvasive. Objective: To analyze the comparative measurement of obesity with the BIA and the meter inches inelastic. Method: The study was observational analytic with cross sectional design. Sample were taken and selected through simple ramdomize sampling method. Data obtained directly by measuring samples that met the inclusion criteria. Obesity screening data obtained by measuring the percentage of body fat using BIA method and meter inches inelastic. Results: Based on the calculationn, as many as 65 samples taken by proportional random sampling in each specialization the student of the Faculty of Public Health 2014 Airlangga University. The percentage of female students with obesity using the BIA was 29,2% and inelastic inch meter is 21,5%. The statistical test showed t test was 0,897 ( sig>0,05). Conclusion: There are differences in the measurement result mean obesity BIA metered inches inelastic screening tools and have a good validity in measuring obesity. Suggestion : For further research it is recommended to be more accurate in measuring using an inelastic inch meter, while when using BIA  it  should use altimeter measurement because it is needed for data input. 


2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Nandita Nury Latifah ◽  
Ani Margawati ◽  
Ayu Rahadiyanti

Komposisi tubuh yang tidak optimal dapat menurunkan kesegaran jasmani atlet sehingga dapat terjadi penurunan performa ketika bertanding. Tujuan dari penelitian ini adalah mengetahui hubungan persen lemak tubuh, persen massa otot, dan somatotype dengan kesegaran jasmani pada atlet hockey. Desain penelitian yaitu cross-sectional dengan jumlah subjek 35 atlet di Pelatihan Hockey Universitas Negeri Semarang dan Universitas Negeri Yogyakarta yang dipilih dengan purposive sampling. Data persen lemak tubuh dan persen massa otot diukur menggunakan bioelectrical impedence analysis (BIA). Data somatotype menggunakan metode antropometri Heath-Carter dan data kesegaran jasmani berupa nilai VO2max diambil menggunakan metode Balke. Analisis data menggunakan uji Pearson, Rank Spearman dan uji regresi linier. Sebagian besar atlet hockey (54,3%) memiliki nilai VO2max dengan kategori baik. Nilai persen lemak tubuh terendah 6,8% dan nilai tertinggi 35%. Nilai persen massa otot terendah 23,9% dan nilai tertinggi 40,9%. Nilai rata-rata dari nilai endomorph, mesomorph, dan ectomorph adalah (-0,04)±0,3; 4,2±0,9; dan 2,3±1,2. Ada hubungan yang signifikan antara persen lemak tubuh (p<0,001), persen massa otot (p<0,001), nilai endomorph (p<0,001), dan nilai ectomorph (p=0,016) dengan nilai VO2max. Variabel yang paling berkaitan dengan nilai VO2max adalah persen lemak (p<0,001). Correlation of body composition with physical fitness of hockey athletes AbstractSuboptimal body composition could reduce the physical fitness and performance of athletes. This study analyzed the relationship of percent body fat, percent muscle mass and somatotype on physical fitness in hockey athletes. This study was a cross-sectional study with 35 athletes in Pelatihan Hockey Universitas Negeri Semarang and Universitas Negeri Yogyakarta which selected by purposive sampling. Percent body fat and percent muscle mass were measured using bioelectrical impedance analysis (BIA). Somatotype measurement used the anthropometric Heath-Carter method and physical fitness (VO2max) measurement by the Balke method. Data were analyzed using the Pearson test, Rank-Spearman test, and Linear Regression test. Most hockey athletes (54.3%) had good VO2max value. The lowest percentage of body fat was 6.8%. The highest percentage of muscle mass was 40.9%. The average value of the endomorph, mesomorph, and ectomorph values were (-0.04) ± 0.3; 4.2 ± 0,9; and 2.3 ± 1.2.  There were a significant relationship between percent body fat (p <0.001), percent muscle mass (p <0.001), endomorph value (p <0.001), and ectomorph value (p = 0.016) with VO2max value. Percent of body fat was the most related variable to VO2max (p<0.001).


2014 ◽  
Vol 28 (4) ◽  
pp. 553-560 ◽  
Author(s):  
Marcelo Custódio Rubira ◽  
Ana Paula Fernandes de Angelis Rubira ◽  
Lucas De Angelis Rubira ◽  
Milton Carlos Martins Lima ◽  
Roberto Jorge da Silva Franco ◽  
...  

Body composition has fundamental importance in the quality of life and is a powerful predictor of mortality and morbidity in humans. The identification and monitoring of the amount of body fat have been receiving special attention in aspects related to health promotion, not just for its actions in the prevention and in the control of cardiovascular diseases but also for their induction and association with risk factors, especially in the plasmatic lipid levels and arterial pressure. It was investigated the relationship between body mass index (BMI) and body fat percentage (%BF) by bioelectrical impedance analysis (BIA) with the blood pressure levels (systolic and diastolic) and serum lipids (TC, HDL-c, LDL-c, VLDL-c, TG). In a group of fifty seven women (aged 18 to 26 years old ), obesity was detected in 5 and 19 women by BMI (≥ 30 kg/m2) and %BF (≥ 30%), respectively. BMI and % BF were positively correlated with blood pressure (systolic and diastolic), and highly significant in the obese group by %BF. Moreover, BMI and % BF were significantly correlated with all lipids and lipoprotein fractions VLDL-c and triglyceride, respectively. These results suggest that %BF is a good indicator of “occult obesity” in subjects with normal body mass index. The associated use of BMI and %BF to better evaluate obesity may improve the study of blood pressure levels and serum lipid changes that are commonly associated with obesity.


2018 ◽  
Vol 14 (3) ◽  
pp. 99
Author(s):  
Rahmani Welan ◽  
Gusti Revilla ◽  
Desmawati Desmawati

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.


Sign in / Sign up

Export Citation Format

Share Document