The role of anthropometrics in predicting the maximum oxygen consumption in emergency medicine students

Work ◽  
2021 ◽  
pp. 1-7
Author(s):  
Payam Heydari ◽  
Farzaneh Ghiasvand ◽  
Sakineh Varmazyar
Keyword(s):  
Emergency Medicine ◽  
Oxygen Consumption ◽  
Body Fat ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
The Body ◽  
Maximum Oxygen Consumption ◽  
Leg Length ◽  
Cross Sectional ◽  
Body Dimensions

BACKGROUND: Maximum oxygen consumption (VO2 max) is an important measure of cardiovascular capacity to deliver oxygen to the working muscle at maximal exercise. Anthropometrics is one of the factors that contribute to the maximum oxygen consumption. OBJECTIVE: This study aimed to predict the maximum oxygen consumption based on anthropometrics in the emergency medicine students. METHODS: This cross-sectional study was conducted on the emergency medicine students (n = 56) at Qazvin University of Medical Sciences. Before the data collection, participants completed the consent form and Physical Activity Readiness Questionnaire (PAR-Q). Then, the maximum oxygen consumption and anthropometrics (dimensions and compositions) were measured using Gerkin treadmill test and using tape, anthropometer device and digital caliper respectively. Data were analyzed using Pearson correlation, one-way analysis of variance and multivariate linear regression. RESULTS: The mean of maximum oxygen consumption was 4.11 lit/min in the emergency medicine students. There was a significant relationship between maximum oxygen consumption and anthropometrics (body dimensions and compositions including body fat, waist to hip circumference, and BMI) (p <  0.05). Also, the leg length, the body fat, and the BMI predicted 72% of oxygen consumption. The leg length and BMI had an important role in predicting the maximum oxygen consumption. CONCLUSIONS: The body dimensions and compositions should be taken into consideration to select students and match their capabilities with required energy for the job.

scholarly journals Diagnostic accuracy of anthropometric indices in predicting excess body fat among seven to ten-year-old children

2014 ◽  
Vol 17 (1) ◽  
pp. 243-254 ◽  
Author(s):  
Edineia Aparecida Gomes Ribeiro ◽  
Danielle Biazzi Leal ◽  
Maria Alice Altenburg de Assis
Keyword(s):  
Diagnostic Accuracy ◽  
Body Fat ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
The Body ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Standardized Residuals ◽  
Highly Sensitive ◽  
Anthropometric Index

PURPOSE: To evaluate the accuracy of the body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) in detecting excess body fat among schoolchildren in Florianópolis, Santa Catarina. METHODS: Cross-sectional study with 2,772 schoolchildren aged seven to ten years. Receiver Operating Characteristic (ROC) curves were used to compare the diagnostic accuracy of the BMI, the WC and the WHtR in identifying children with excess body fat (defined as values that were equal to or higher than the 90th percentile of the standardized residuals obtained from the sum of the four skinfolds thickness). Likelihood ratio estimates were used to select, for each anthropometric index, the cut-off points that presented the highest association with excess body fat. RESULTS: The BMI, WC and WHtR performed well in detecting excess body fat, indicated by areas under the ROC curve (AUC) close to 1.0, with slightly higher AUC for the BMI in comparison to the WC and the WHtR concerning both sexes. Highly sensitive and specific cut-off points were derived for the three anthropometric indices. Sensitivity ranged from 85.7 to 92.9% for the BMI, from 78.6 to 89.7% for the WC, and from 78.6 to 89.2% for the WHtR. Specificity ranged from 83.2 to 91.4%, from 75.0 to 90.7%, and from 77.4 to 88.3% for the BMI, the WC and the WHtR, respectively. CONCLUSION: BMI, WC and WHtR can be used as diagnostic tests to identify excess body fat in children from seven to ten years of age.

scholarly journals Pengetahuan, Status Hidrasi, Persen Lemak Tubuh, Kadar Hemoglobin, dan Kebugaran Atlet Senam

2019 ◽  
Vol 2 (2) ◽  
pp. 170
Author(s):  
Ayu Ghalda ◽  
Nazhif Gifari ◽  
Nadiyah Nadiyah
Keyword(s):  
Body Composition ◽  
Physical Fitness ◽  
Body Fat ◽  
Significant Relationship ◽  
Cross Sectional Study ◽  
Hemoglobin Level ◽  
The Body ◽  
Hydration Status ◽  
Cross Sectional ◽  
Spearman Correlation Test

AbstractPhysical fitness is the ability of a person body to do a day work without feeling significant fatigue, that the body has a reserve of energy to overcome the excessive workload. The purpose of this study was to determine the relationship between hydration knowledge, hydration status, body composition, hemoglobin level with physical fitness in gymnastics athletes. This study was design a cross sectional study at GOR Raden Inten East Jakarta. Independent variables were hydration knowledge, hydration status, body composition (percent of body fat) and hemoglobin level, while the dependent variable was physical fitness. The statistical test used in this study was the spearman correlation test, because the dependent variable in this study was abnormally distributed. The results of this study were that there was no significant relationship between hydration knowledge and physical fitness (r = 0.181; p > 0.05), there was no significant relationship between hydration status and physical fitness (r = -0,440; p = 0,052), there was no relationship significant between body composition (percent of body fat) and physical fitness (r = 0,351; p > 0.05), and there was a significant relationship between hemoglobin level and physical fitness (r = 0,600; p < 0.05). The conclusion in this study, there was a significant relationship between hemoglobin level and physical fitness.Kebugaran jasmani merupakan kemampuan tubuh seseorang untuk melakukan suatu pekerjaan sehari-hari tanpa merasakan kelelahan yang cukup berarti, sehingga tubuh itu sendiri memiliki cadangan energi untuk mengatasi beban kerja yang berlebih. Tujuanpenelitian ini untuk mengetahui hubungan pengetahuan hidrasi, status hidrasi, komposisi tubuh, kadar hemoglobin dengan kebugaran pada atlet senam. Penelitian ini adalah penelitian kuantitatif dengan desain penelitian cross sectional yang dilakukan di GOR Raden Inten Jakarta Timur. Variabel independen yaitu pengetahuan hidrasi, status hidrasi, komposisi tubuh (persen lemak tubuh)dan kadar hemoglobin, sedangkan variabel dependen yaitu kebugaran.  Uji statistik yang digunakan dalam penelitian ini menggunakan uji korelasi spearman, karena variabel dependen pada penelitan berdistribusi tidak normal. Hasil dari penelitian yaitu tidak terdapat hubungan yang signifikan antara pengetahuan hidrasi dan kebugaran (r=0,181; p>0,05), tidak terdapat hubungan yang signifikan antara status hidrasi dan kebugaran (r=-0,440; p>0,05), tidak terdapat hubungan yang signifikan antara komposisi tubuh dan kebugaran (r=0,351; p>0,05) dan terdapat hubungan yang signifikan antara kadar hemoglobin dan kebugaran (r=0,600; p<0,05). Kesimpulan dalam penelitian ini yaitu terdapat hubungan yang signifikan antara kadar hemoglobin dengan kebugaran atlet.

scholarly journals The association between somatotype and nutritional status: a cross-sectional study among the adult Sabar males of Purulia, West Bengal, India

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Kaustav Das ◽  
Koel Mukherjee ◽  
Sayak Ganguli ◽  
Somosree Pal ◽  
Subrata Sankar Bagchi
Keyword(s):  
Nutritional Status ◽  
West Bengal ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
The Body ◽  
Sectional Study ◽  
Body Type ◽  
Chi Square ◽  
Cross Sectional ◽  
Chi Square Test

AbstractSomatotype is the parameter used to determine the body composition, which is influenced by several factors and nutrition is the crucial one. This study aimed to determine somatotype and nutritional status as well as investigate the somatotype variations in relation to the age and nutritional status among the adult males of Sabar community living in Purulia district of West Bengal, India. The present cross-sectional study included 334 Sabar males aged between 18 to 60 years. Anthropometric measurements including height, weight, 2 breadths, 2 circumferences and 4 skinfolds were taken following standard protocol. Somatotype was determined following the Heath-Carter method and Body Mass Index (BMI) was used to access the level of nutrition. Descriptive statistics, Kruskal-Wallis H test, Pearson correlation, Spearman correlation and Chi-square test were performed to find out variation, correlation and association of the somatype components with age and nutritional categories. Prior ethical clearance had been obtained. As a result, the trend of undernutrition was gradually increasing with age and found highest among aged people (50–60 years) with an overall prevalence of 49.7%. Eleven different somatotype subgroups were identified. The mean somatotype of the participants was 2.3–3.6-3.9 which indicates mesomorph-ectomorph body type. Kruskal-Wallis H test revealed significant differences among somatotype components in different nutritional categories. Undernutrition was found highest among the mesomorphic ectomorph (62.7%) type. Chi-square test stated significant association between somatotype categories and nutritional statuses (Chi-square = 283.160, p < 0.01). This is the first reporting on the somatotype study among the Sabar community, where the dominant body type was found mesomorph-ectomorph. A highly significant correlation was found between somatotype and BMI. At the same time, this study expressed the need for immediate nutritional intervention.

scholarly journals Correlation between Body Fat Estimated from BMI and Bio Impedance Analysis among Population Working in IT Sector in Bangalore City - A Cross-Sectional Study

2021 ◽  
Vol 8 (17) ◽  
pp. 1174-1180
Author(s):  
Srividya Kalavagunta ◽  
Sravani Kuppam ◽  
Uma M ◽  
Srinivas Gunda ◽  
Archana Bhat
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Impedance Analysis ◽  
Cross Sectional Study ◽  
The Body ◽  
Sectional Study ◽  
Cross Sectional ◽  
Bangalore City ◽  
The Mean

BACKGROUND With the availability of more sophisticated methods, the utility of body mass index (BMI) as a measure of obesity and body fat estimation is being questioned. The current study aims to compare the estimation of body fat derived from BMI to that of directly measured bio impedance analysis (BIA). METHODS This is a cross sectional study conducted among IT employees of Bangalore City. Body fat % estimated from BMI using formula (adult BF = (1.20 x BMI) + (0.23 x age) - (10.8 x sex) - 5.4 where value for male = 1 & female = 0) and bioimpedance analysis (BIA) was compared using Bland-Altman analysis. RESULTS A total of 6901 participants were included and out of 6901 participants, 67.63 % were women. The mean age was 29.6 ± 6.68 years. The mean of the difference in body fat % calculated from BMI and estimated by BIA was 3.29, (- 9.99 to + 16.58 %). The mean difference was 3.43, (- 9.58 to + 16.45 %) and 2.89, (- 10.90 to + 16.68 %) among men and women respectively. CONCLUSIONS The results showed that the body fat estimated by BMI varies significantly from body fat estimated from BIA. KEYWORDS Obesity, Body Mass Index, Body Fat Percentage, Bioelectrical Impedance

scholarly journals Evaluation of spirometric parameters and maximum oxygen consumption in athletes and non-athletes

2018 ◽  
Vol 71 (5-6) ◽  
pp. 157-161
Author(s):  
Aleksandra Rakovac ◽  
Lana Andric ◽  
Vedrana Karan ◽  
Maja Bogdan ◽  
Danijel Slavic ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Oxygen Consumption ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
The Body ◽  
Body Fat Mass ◽  
Maximum Oxygen Consumption ◽  
Low Degree

Introduction. There is a great interest to identify factors that influence the value of maximum oxygen consumption. The goal of this research was to assess the body composition, pulmonary parameters, and maximum oxygen consumption in different types of sports and in non-athletes. Material and Methods. The research included 149 male participants: aerobic athletes (n = 55), anaerobic athletes (n = 53) and non-athletes (n = 41). The participants were tested at the Department of Physiology, Faculty of Medicine of the University of Novi Sad. Anthropometric parameters and body mass index were measured. Also, the body fat mass was determined by bioelectrical impedance. pulmonary parameters by spirometry and maximum oxygen consumption on a bicycle ergometer. Results. The body mass index values in non-athletes were the highest and significantly different compared to the aerobic athletes (p = 0.01). Also, non-athletes had significantly higher values of body fat mass compared to athletes (p < 0.001). The pulmonary parameters were not significantly different between the tested groups (p > 0.05). However. the values of maximum oxygen consumption were significantly different between all three tested groups (aerobic athletes 53.75 ? 7.82 ml/kg/min; anaerobic athletes 48.04 ? 6.79 ml/kg/min; non-athletes 41.95 ? 8.53 ml/kg/min) (p < 0.001). A low degree of correlation was found between maximum oxygen consumption and pulmonary parameters in the tested groups. Conclusion. Body composition has an impact on the pulmonary parameters. The values of maximum oxygen consumption depend on the type of sport and training. and the highest values are in aerobic sports. There is a low degree of correlation between maximum oxygen consumption and pulmonary parameters in the tested groups.

scholarly journals Evaluation of Salivary Glucose and Creatinine for Screening of Diabetes and Kidney Disease

2020 ◽  
Author(s):  
Marziye Aghazadeh ◽  
Paria Motahari
Keyword(s):  
Kidney Disease ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
Serum Glucose ◽  
The Body ◽  
Diagnostic Methods ◽  
Cross Sectional ◽  
Glucose Levels ◽  
Multiple Organs ◽  
The Mean

Objective: Diabetes mellitus is a multifactorial metabolic disorder that affects multiple organs of the body, one of the most important of which is chronic kidney disease. Early diagnosis of this disease is suggested as an important strategy to reduce the complications of the disease worldwide. Since the measurement of salivary creatinine and glucose is an easy and noninvasive method, the aim of this study was to evaluate the serum and salivary levels of creatinine and glucose for screening of diabetes and kidney disease. Materials and Methods: This cross-sectional study was performed on 50 seemingly healthy individuals referred to the Department of Oral Medicine of the Faculty of Dentistry. Serum andsalivary creatinine levels were measured in these individuals. Data (mean + standard deviation) were presented for variables. Data were analyzed by SPSS 19 software. Pearson correlation coefficient was used to determine the correlation between serum and salivary levels of creatinine and glucose. P-values less than 0.05 were considered significant. Results: The mean salivary and serum creatinine levels was reported to be 0.27 (+ 0.29) and 0.90 (+0.12) mg/dl, respectively. Also, the mean salivary and serum glucose levels were reported to be 3.1 (+ 0.7) and 88.92 (+6.16) mg/dl, respectively. The results of Pearson correlation test showed no significant correlation between serum and salivary glucose and cratinine. Conclusion: The use of non-invasive diagnostic methods such as saliva is of great value. The study found no association between serum and salivary creatinine and glucose in seemingly healthy subjects.

scholarly journals Circulating Metabolites Associated with Body Fat and Lean Mass in Adults with Overweight/Obesity

Metabolites ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 317
Author(s):  
Christopher Papandreou ◽  
Jesús García-Gavilán ◽  
Lucía Camacho-Barcia ◽  
Thea T. Hansen ◽  
Anders Sjödin ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Lean Mass ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
The Body ◽  
Acid Oxidation ◽  
Cross Sectional ◽  
Body Compartments ◽  
Fold Cross Validation

The interplay between fat mass and lean mass within human metabolism is not completely understood. We aimed to identify specific circulating metabolomic profiles associated with these body composition compartments. Cross-sectional analyses were conducted over 236 adults with overweight/obesity from the Satiety Innovation (SATIN) study. Body composition was assessed by dual-energy X-ray absorptiometry. A targeted multiplatform metabolite profiling approach was applied. Associations between 168 circulating metabolites and the body composition measures were assessed using elastic net regression analyses. The accuracy of the multimetabolite weighted models was evaluated using a 10-fold cross-validation approach and the Pearson’s correlation coefficients between metabolomic profiles and body compartments were estimated. Two different profiles including 86 and 65 metabolites were selected for % body fat and lean mass. These metabolites mainly consisted of lipids (sphingomyelins, phosphatidylcholines, lysophosphatidylcholines), acylcarnitines, and amino acids. Several metabolites overlapped between these body composition measures but none of them towards the same direction. The Pearson correlation coefficients between the metabolomic profiles and % body fat or lean mass were 0.80 and 0.79, respectively. Our findings suggest alterations in lipid metabolism, fatty acid oxidation, and protein degradation with increased adiposity and decreased lean body mass. These findings could help us to better understand the interplay between body composition compartments with human metabolic processes.

scholarly journals Growth Hormone Status In Obese Subjects and Correlation With Age

2020 ◽  
Vol 9 (2) ◽  
pp. 368-373
Author(s):  
Mufarrihul Ihsan ◽  
Lilik Herawati ◽  
Purwo Sri Rejeki
Keyword(s):  
Growth Hormone ◽  
Body Mass ◽  
Body Fat ◽  
Pearson Correlation ◽  
Fasting Blood Glucose ◽  
Cross Sectional Study ◽  
Female Adolescent ◽  
Cross Sectional ◽  
Gh Secretion ◽  
Obese Subjects

Obesity also increases the risk of decreased Growth Hormone (GH) secretion. Decreased GH secretions have an impact on increasing body fat and decreasing lean body mass. This study aims to analyze the status of Growth Hormone (GH) in obese subjects and the correlation of GH with age. This study used a cross sectional study method using 30 obese female adolescent Body Mass Index (BMI) subjects 25-35 kg/m2, Percentage of Body Fat (PBF) above 30% and fasting blood glucose (FBG) below 100 mg/dL. Measurement of GH levels used the Enzym Link Immunosorbent Assay (ELISA) method. Data analysis techniques used the Pearson Correlation test with the Statistical Package for Social Science. Results obtained mean GH levels (761.119±504.627) pg/mL and average age (20.863±1.082) years (r =-0.483) and (p=0.023). Based on the results of the study, it can be concluded that there is a negative correlation between GH status and age in obese subjects

scholarly journals HUBUNGAN PANJANG TUNGKAI DENGAN KECEPATAN BERJALAN PADA SISWA SEKOLAH MENENGAH ATAS NEGERI 6 MANADO

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Christian H. Sorongan
Keyword(s):  
Standard Deviation ◽  
Random Sampling ◽  
Walking Speed ◽  
Pearson Correlation ◽  
Body Height ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Leg Length ◽  
Cross Sectional ◽  
Average Value

Abstract: This is caused by factors that affect normal human walking speed i.e., sex, fitness level, body height and weight. People with long strides could walk faster than those with short steps if they take the same number of steps per minute because they can travel a distance further in every step of their feet. But some said that the shorter leg is not a reason for a slow walking speed. The purpose of this research is to find out whether or not there is a relationship between the length of the legs with walking speed. This study was carried out with the design of cross sectional study. The population taken all SMAN 6 Manado grade 3 by the number of samples of 40 people, the determination of sample by random sampling techniques by means of a lottery. Data obtained from the results of measurements of the length of the limb and walking speed is done by the researcher themselves. Acquired long limbs with an average rating of 98 cm, 3,79608 cm, standard deviation value for a minimum of 90 cm and a maximum of 105 cm, While the walking speed obtained average value of 1,2983 m/s, the standard deviation 0.14007 m/s, the minimum value of 1.06 m/s and maximum 1,93 m/s. Conclusion, there is a significant correlation between leg length and walking speed with the value of the Pearson correlation coefficient analysis was obtained value of r = 0.262 and p = 0.051 in the direction of a positive correlation.Keywords: the length of the legs, walking speed Abstrak: Tidak semua orang berjalan dengan kecepatan berjalan rata-rata manusia. Hal ini disebabkan oleh faktor-faktor yang mempengaruhi kecepatan berjalan normal manusia yaitu, jenis kelamin, tingkat kebugaran tubuh, tinggi dan berat badan. Orang dengan langkah panjang bisa berjalan lebih cepat daripada orang-orang dengan langkah pendek jika mereka mengambil jumlah langkah yang sama per menit karena mereka dapat menempuh jarak lebih jauh dalam setiap langkah kaki mereka. Tapi ada yang mengatakan bahwa kaki yang lebih pendek tidak menjadi alasan kecepatan berjalan yang lambat. Tujuan penelitian ini adalah untuk mengetahui ada tidaknya hubungan antara panjang tungkai dengan kecepatan berjalanPenelitian ini dilaksanakan dengan desain cross sectional study. Populasi yang diambil semua siswa SMA Negeri 6 Manado kelas 3 dengan jumlah Sampel 40 orang, penentuan sampel dengan teknik random sampling dengan cara undian. Data diperolehdari hasil pengukuran panjang tungkai dan kecepatan berjalan yang dilakukan oleh peneliti sendiri. Diperoleh panjang tungkai dengan nilai rata-rata 98 cm, standar deviasi 3,79608 cm, nilai minimum 90 cm dan maksimum 105 cm sedangkan kecepatan berjalan diperoleh nilai rata-rata 1,2983 m/s, standar deviasi 0,14007 m/s, nilai minimum 1,06 m/s dan maksimum 1,93 m/s. Kesimpulan, terdapat hubungan yang signifikan antara panjang tungkai dan kecepatan berjalan dengan nilai analisis koefisien korelasi Pearson diperoleh nilai r = 0,262 dengan p = 0,051 dengan arah korelasi positif.Kata kunci: Kecepatan Berjalan dan Panjang Tungkai

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