scholarly journals Effect of Body Mass Index on Auricular Morphology and Auditory Functions

2019 ◽  
Vol 98 (7) ◽  
pp. E81-E86 ◽  
Author(s):  
Mehmet Surmeli ◽  
Ildem Deveci ◽  
Hasan Canakci ◽  
Mustafa Salih Canpolat ◽  
Burak Karabulut ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Soft Tissue ◽  
Body Mass ◽  
Significant Negative Correlation ◽  
The Body ◽  
Sulcus Angle ◽  
Soft Tissue Thickness ◽  
Negative Effect ◽  
The Mean ◽  
Auditory Functions

In this study, we aimed to investigate the relationship between the body mass index (BMI) and the morphometric properties of auricula and its acoustic gain characteristics. A total of 45 participants between 18 and 45 years of age were enrolled into the study. Participants’ height and weight measurements were recorded for the BMI calculation. On both sides, the morphometric properties of the auricula were measured and recorded. Additionally, the participants were subjected to multidirectional dynamic real ear measurements (REMs) to specify the intensity and frequency values of the maximum hearing gain. Participants consisted of 24 women and 21 men. The mean BMI was 23.42. The mean auricular area was 22.70 cm2. Statistically significant positive correlation was found between the auricular area and BMI ( r = 0.427, P = .03). The mean postauricular sulcus angle was 20.99°. The mastoid-helix distance was 16.07 mm. There was no statistically significant correlation between BMI level and postauricular sulcus angle and mastoid-helix distance ( P > .05). The mean dynamic REM measurement was evaluated. The maximum acoustic gain at anterior, lateral, and posterior vectorial stimulation was calculated as 20.9, 24.2, and 20.7 dB Sound Presure Level (SPL), respectively. Statistically significant negative correlation was found between the three directions acoustic gain level and BMI in the statistical examination ( r = −0.365, r = −0.386, r = −0.453, respectively, and P < .05 for all). The results of acoustic gain frequency were 2967.4, 2963, and 2934 Hz, respectively. There was no statistically significant correlation between acoustic gain frequency and BMI ( P > .05). When participants were grouped according to their BMI, participants with a BMI >25 had a statistically significantly bigger auricular area and lower maximum acoustic gain when compared with those with BMI <25 ( P < .05). We found that the auricular area increased with BMI. We think that this is related to soft tissue thickening of the auricula related to high BMI. In addition, we found that the acoustic gain level decreased inversely with BMI. We believe that the decrease in acoustic gain is due to the increase of acoustic resistance after the increase of soft tissue thickness. In conclusion, we think that BMI has a negative effect on auditory function according to findings in our study.

scholarly journals How Relevant Is the Place Where First-Year College Students Live in Relation to the Increase in Body Mass Index?

Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1638
Author(s):  
Antonio Viñuela ◽  
Juan José Criado-Álvarez ◽  
Javier Aceituno-Gómez ◽  
Carlos Durantez-Fernández ◽  
José Luis Martín-Conty ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Nursing Students ◽  
Body Mass ◽  
Repeated Measures ◽  
Eating Habits ◽  
The Body ◽  
P Value ◽  
First Year ◽  
Significant Difference ◽  
The Mean

(1) Objective: This study analyzes the evolution of the body mass index (BMI) throughout the academic year associated with changes in the lifestyle associated with the place where students live during the course, lifestyle design, and health strategies for the university community. (2) Methods: A total of 93 first-year nursing students participated in this study. Data were collected throughout the course by administering self-reported questionnaires about eating habits and lifestyles, weight, and height to calculate their BMI and place of residence throughout the course. Data were analyzed using statistical analysis (Mann–Whitney, chi-square, Student’s t-test, repeated-measures analysis of variance, and least significant difference tests). (3) Results: We found that the mean BMI increases significantly throughout the course among all students regardless of sex, age, eating habits, or where they live during the course. At the beginning of the course, the mean BMI was 22.10 ± 3.64. The mean difference between the beginning of the course and the middle has a value of p-value < 0.015 and between the middle of the course and the end a p-value < 0.009. The group that increased the most is found among students who continue to live in the family nucleus rather than those who live alone or in residence. Students significantly changed their eating and health habits, especially those who live alone or in residence. (4) Conclusions: There is an increase in BMI among students. It is necessary to carry out seminars or talks that can help students understand the importance of good eating practices and healthy habits to maintain their weight and, therefore, their health, in the short, medium, and long term and acquire a good quality of life.

scholarly journals Age relative height, weight and body mass index percentiles of children in Jos, North-Central Nigeria

2021 ◽  
Vol 12 (8) ◽  
pp. 149-154
Author(s):  
Ovayoza O. Mosugu ◽  
Francis Shinku ◽  
Jacob C. Nyam ◽  
Emmanuel S. Mador
Keyword(s):  
Body Mass Index ◽  
Childhood Obesity ◽  
Body Mass ◽  
Weight Status ◽  
Body Height ◽  
Mean Value ◽  
The Body ◽  
Healthy Weight ◽  
North Central ◽  
The Mean

Background: Interpretation of body mass index in children is quite different from that in adults which use standard weight status categories that are the same for all ages and for both men and women. Aims and Objective: The study was aimed at determining the prevalence of childhood obesity in Jos. Materials and Methods: A total of 371 children were enrolled in the study. Weight was taken with only light clothing and without foot wears. Height obtained without head-gears or shoes and the measuring flat tops pressed down to avoid errors due to tall hair. Body mass index were calculated for each subject as ratio of body weight to body height. All data were analyzed statistically and separately for different ages and the mean values for height against age, weight against age, height against weight and BMI for age was obtained with centiles of absolute deviations from the mean. Results: The age of the studied population ranged from 3 – 14 years with mean of 8.4 ± 2.8. Height of the children on the other hand ranged from 0.9 – 1.64 meters with mean value of 1.26 ± 0.15 and their weight ranged from 10 – 76 kg with mean value of 25.6 ± 9.2. Out of the 371 children studied, 14 (3.8%) were found to be underweight, 302 (81.4%) had healthy weight while 41 (11%) were at risk of overweight and 14 (3.8%) were overweight. In addition, the body mass index of girls was found to be significantly higher than those of boys at 12 and 13 years only. Conclusion: It is concluded that the prevalence of childhood obesity is high in Jos, North-central Nigeria.

scholarly journals ASSESSMENT OF BODY FAT IN OBESE PATIENTS PREOPERATIVELY FOR BARIATRIC SURGERY

2016 ◽  
Vol 29 (suppl 1) ◽  
pp. 59-61 ◽  
Author(s):  
Mônica FERNANDEZ ◽  
Rosana Farah TOIMIL ◽  
Zied RASSLAN ◽  
Elias Jirjoss ILIAS ◽  
Ana Lúcia Torloni GRADINAR ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Significant Relationship ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Anthropometric Indicators ◽  
The Mean

ABSTRACT Background: The study of body composition in patient candidates for bariatric surgery is directly related to the increase and distribution of body fat in the development of cardiovascular disease. Aim: To correlate anthropometric indicators and bioelectrical impedance in the assessment of body fat in female candidates for bariatric surgery. Methods: Cross-sectional, observational study of 88 women. The weight, height, body mass index and waist circumference data were evaluated in the anthropometric analysis. The body fat was determinate by bioelectrical impedance conducted according to the manufacturer´s recommended technique with a specific severe obesity formula. The patients were divided into two subgroups according to the average waist circumference and body mass index for better analysis of the results. Results: The group had a mean age of 39.7 years (±7.2), average weight of 125.6 kg (±16.2), mean body mass index of 48.7 kg/m2 (±6.4) and the mean waist circumference 137.6 cm (±12.4). Negative and significant relationship between BMI values waist circumference and resistance obtained by bioelectrical impedance were found. By analyzing the two groups the mean BMI and waist circumference, a significant relationship was observed, ie, the higher the degree of obesity less resistance was obtained by bioelectrical impedance. The higher is the obesity the lower is value found for resistance. Conclusion: The increase of anthropometric indicators (BMI and waist circumference) determined reduction in resistance and reactance obtained by bioelectrical impedance analysis in obese women candidates to bariatric surgery.

scholarly journals Physical Growth and Nutritional Status among Ao Naga Children of Nagaland, Northeast India

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Temsumongla Longkumer
Keyword(s):  
Body Mass Index ◽  
Nutritional Status ◽  
Body Mass ◽  
Northeast India ◽  
The Body ◽  
Physical Growth ◽  
The Mean

The present study was carried out on 571 Ao Naga children including 289 boys and 282 girls aged 8 to 15 years from Mokokchung town, Nagaland. This study tried to find out the physical growth according to the height and weight and nutritional status according to the body mass index (BMI) following the classification by Cole et al. Our study revealed that the girls were taller than boys till 13 years and the boys became taller thereafter. As for weight, the girls were heavier during 10 to 14 years. The mean height and weight increased as the age advanced in both boys and girls. The prevalence of underweight was 30.12% and the prevalence of overweight was 2.28% among the Ao Naga children, and the girls were found to have a higher prevalence of overweight and the boys had a higher prevalence of underweight. This revealed that both underweight and overweight coexisted among the Ao Naga children from Mokokchung town, although the prevalence of overweight was not high.

scholarly journals AB0168 BODY MASS INDEX IS ASSOCIATED WITH SIGNIFICANT ECHOCARDIOGRAPHIC ABNORMALITIES IN RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1110.2-1111
Author(s):  
S. Hannawi ◽  
K. Naeem ◽  
H. Hannawi
Keyword(s):  
Rheumatoid Arthritis ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Right Ventricular ◽  
Body Mass ◽  
Explanatory Variable ◽  
Left Ventricular ◽  
The Body ◽  
The Mean ◽  
And Function

Background:Overweight/obesity is associated with a high incidence of chronic autoimmune diseases such as rheumatoid arthritis (RA). In RA, obesity represents an increasingly prevalent comorbidity even at its first presentation, with more than 60% of patients with RA classified as overweight or obese by the body mass index (BMI ≥25 kg/m2). On the other hand, RA is related with excess cardiovascular disease (CVD) mortality, which accounts for over 50% of premature deaths in RA. Obesity contributes to the development of inflammation via changes in metabolism and function of adipose tissue and it appears to coexist with other CVD risk factors such as hypertension, insulin resistance and dyslipidemia.Objectives:For the first time, this study looks at the effect of the BMI on echocardiography parameters in established RA cases.Methods:A cross section study was carried out to recruit patients meeting the 2010 ACR/EULAR criteria during 2019. Standard trans-thoracic echocardiography examination was performed by a specialist cardio-sonographer who was blinded to the status of the participants. The echocardiography parameters studied included left ventricular dimensions, wall geometry, systolic and diastolic parameters, ejection fraction, right ventricular size and function, valve structure and function, aortic root dimensions, pulmonary pressures and pericardium. Anthropometric measurements of BMI were carried out as weight in kilograms divided by the square of height in meters (kg/m2). Data was analysed using the BMI as the explanatory variable and repeating the simple linear regression analysis using the echocardiography parameters as outcome variables. P value of <0.05 was considered significant.Results:During the one-year period, 44 RA patients were recruited, of which 91% (40) were female and 4 (9 %) male. The mean (SD) of age was 50±13 years (Min 28, Max 72). The mean (SD) of BMI was 30.887 ± 6.348 Kg/m2 (Min 21, Max 44.38). As per BMI classification of obesity, only 11% patients were found to have normal BMI. Echocardiography revealed that 14% patients had aortic regurgitation, 2% had aortic stenosis, 2% had mitral stenosis, and 7% had tricuspid regurgitation.Using BMI as an explanatory variable, with echocardiography parameters as outcome variables, it was found that BMI contributed positively in a linear manner to the Interventricular Septal thickness in diastole (mm) (p=0.004, CI: 0.048-0.227), LV End Diastolic Diameter (mm) (p=0.033, CI: 0.033-0.722), LV mass (g) (0.04, CI: 0.022-6.339), Early Diastolic Velocity, E, by PW mitral inflow measurement (cm/s) (p=0.02, CI: 0.150-1.933), E/E’ ratio by Tissue Doppler study (p=0.01, CI: 0.025-0.225), and to Right Ventricle function measured by Tricuspid Annular Plane Systolic Excursion (TAPSE) (mm) (p=0.02, CI: 0.035-0.346).Conclusion:Obesity and Inflammation overlap syndrome may interplay to produce various cardiovascular abnormalities. Body Mass Index is shown to be associated with significant echocardiographic abnormalities including left ventricular dimension, diastolic parameters and right ventricular function. In view of the complex interrelation between obesity, rheumatoid arthritis and cardiovascular disease, measuring Body Mass Index might help predict adverse cardiovascular events in rheumatoid arthritis patients.References:[1]Body mass index and the risk of rheumatoid arthritis: a systematic review and dose-response meta-analysis. Qin B, Yang M, Fu H, Ma N, Wei T, Tang Q, Hu Z, Liang Y, Yang Z, Zhong R. Arthritis Res Ther. 2015; 17(1): 86. doi: 10.1186/s13075-015-0601-x.[2]Cardiac eccentric remodeling in patients with rheumatoid arthritis. Pascale V, Finelli R, Giannotti R, Coscioni E, Izzo R, Rozza F, Caputo D, Moscato P, Iaccarino G, Ciccarelli M. Sci Rep. 2018; 8: 5867. doi: 10.1038/s41598-018-24323-0.Disclosure of Interests:None declared

scholarly journals AB0244 BODY MASS INDEX AND BODY COMPOSITIONS CORRELATES WITH CAROTID INTIMA MEDIA THICKNESS IN RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1422.1-1422
Author(s):  
S. Hannawi ◽  
H. Hannawi ◽  
M. Alamadi ◽  
R. Sultan ◽  
I. Al Salmi
Keyword(s):  
Rheumatoid Arthritis ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
The Body ◽  
Composition Analysis ◽  
Cvd Risk ◽  
The Mean

Background:Risk of rheumatoid arthritis (RA) had been reported in overweight obese compared with normal weight people. More, obesity is associated with high prevalence of cardiovascular disease (CVD) risk factors in RA. No previous publications have examined the detailed body composition parameters among RA, or its relation to CVD in RA.Objectives:This study looked at the body composition and the body mass index and correlated it with the subclinical cardiovascular disease as manifested by carotid intima media thickness (cIMT).Methods:During 2019, a cross-sectional study was carried out to recruit cases that met the 2010 American College of Rheumatology/EULAR criteria for diagnosis of RA. All the patients were free of cardiovascular and or cerebrovascular disease. Patients with clinical diagnosis of hypertension, diabetes, renal disease, dyslipidemia, thyroid disorder and pregnant female were excluded. None of the participants is smoker or had history of smoking.cMIT ultrasound (US) measures were obtained using a real-time US scanner equipped with a 7.5 MHz linear probe by a single sonographer. Patients underwent a detailed body composition analysis within the same week of the cIMT measurement. The body composition analysis involved assessing the level of total body water, protein, minerals, body fat mass, intra- and extracellular water, basal metabolic rate, waist hip ratio, visceral fat level, obesity degree, bone mineral content, body cell mass, arm and arm muscle circumference, detailed muscle fat analysis, obesity analysis, segmental lean analysis, weight control parameters, and segmental fat analysis.Results:During 2019, 35 female RA patients were recruited that met the inclusion criteria. The mean (SD) of the age was 52 (10) with a minimum of 20 and maximum of 72 years old. The mean (SD) of cIMT was 0.59 (0.098) mm with a minimum of 0 .38 and maximum of 0.87. The mean (SD) of the BMI was 30.7 (7.0) with a minimum of 20 and maximum of 56.9 Kg/m2. Mean systolic blood pressure was 126 (19) with a minimum of 91 and maximum of 140 mmHg. Also, the mean diastolic blood pressure was mmHg 74 (11) with a minimum of 49 and maximum of 96.The correlation of cIMT with the parameters of the body composition in a linear regression analysis showed a positive linear relationship between cIMT and each of the Body fat mass (kg): P=0.045, CI 0.000-0.004), BMI (p=0.029, CI: 0.001, 0 .009), the target weight (p=0.040, CI: 0.000- 0.001), extracellular water (P=0.033, CI: 0.002, 0.034) and bone mineral content (p=0.031, CI: 0.009, 0.192).The Multiple linear regression analysis showed persistence of the relationship between the cIMT and the age of the participants (p=0.049, CI:0.001-0.007) and the BMI (p=0.031, CI: 0.002- 0.032), with R2of the model was 0.38.Conclusion:To the best of our knowledge, this is the first paper to examine the detailed body composition parameters among RA and found a good correlation with subclinical cardiovascular disease as manifested by cIMT. More research with larger study population is needed to look at the association between body mass index and CVD risk factor in RA.References:[1]Body mass index and the risk of rheumatoid arthritis: a systematic review and dose-response meta-analysis. Qin B, Yang M, Fu H, Ma N, Wei T, Tang Q, Hu Z, Liang Y, Yang Z, Zhong R. Arthritis Res Ther. 2015; 17(1): 86. doi: 10.1186/s13075-015-0601-x[2]Body Mass Index and the Risk of Rheumatoid Arthritis: An Updated Dose-Response Meta-Analysis. Feng X, Xu X, Shi Y, Liu X, Liu H, Hou H, Ji L, Li Y, Wang W, Wang Y, Li D. Biomed Res Int. 2019; 2019: 3579081. doi: 10.1155/2019/3579081Disclosure of Interests:None declared

scholarly journals Correlation of Body Mass Index, Skeletal Muscle, Subcutaneous and Visceral Adipose Tissue in Healthy Adults: A Cross Sectional Study

2021 ◽  
Vol 66 (3) ◽  
pp. 69-76
Author(s):  
NORBERT CSABA LUKÁCS
Keyword(s):  
Skeletal Muscle ◽  
Body Mass Index ◽  
Adipose Tissue ◽  
Body Mass ◽  
Visceral Adipose Tissue ◽  
Negative Correlation ◽  
Significant Negative Correlation ◽  
The Body ◽  
Cross Sectional ◽  
Visceral Adipose

ABSTRACT. Introduction. Obesity is one of the 21st century major health challenges. Adipose tissue is distributed in different proportions in the human body depending on where it is located in the body. The purpose of the research. This study aims to determine the relationship between body mass index, skeletal muscle, subcutaneous and visceral adipose tissue in case of first year students of Partium Christian University from Oradea. Subjects and methods. The research included a sample group of 112 students. The analysis of the body composition was performed using the method of bioelectrical impedance. Results. The registered data reveal that 23% of the subjects were overweight or obese and 15% had a low percentage of skeletal muscle. Conclusions. In case of both genders there is a significant negative correlation between the percentage of skeletal muscle and subcutaneous adipose tissue and a significant negative correlation between the percentage of skeletal muscle and visceral adipose tissue.

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

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