Effect Of Anthropometric Measurements Research Articles

The effect of anthropometric measurements and muscle endurance of the trunk and lower extremities on anatomic body awareness in healthy individuals with different levels of physical activity.

The interaction between anthropometric measurements and muscular endurance and how these factors manifest in anatomical body awareness have not yet been fully investigated. It was aimed to examine the relationship between physical activity, body anthropometric measurements and endurance and anatomical body awareness in healthy individuals. A total of 217 individuals aged 19-40 participated in the study. Participants were categorized into inactive (n = 65), minimally active (n = 80), and sufficiently active (n = 72) groups based on the international physical activity questionnaire (IPAQ). Anthropometric measurements including shoulder, abdomen, waist, and hip circumferences were taken. Participants' trunk muscle endurance and lower extremity endurance was assessed through various tests. Anatomic body awareness was evaluated using the Body Awareness Questionnaire (BAQ) with established validity. While no significant difference in shoulder circumference measurements was found between the inactive and minimally active groups (p > 0.05), the sufficiently active group showed significantly higher shoulder circumference measurements compared to the other groups (p < 0.05). Significant differences were observed among all endurance tests between the groups (p < 0.05). Participants' body endurance increased significantly with higher activity levels. Moreover, anatomic body awareness exhibited significant variation among the three groups (p < 0.05), with the sufficiently active group having the highest level of anatomic body awareness. Positive correlations were found between all endurance tests and anatomic body awareness (p < 0.05), as well as a positive correlation between physical activity levels and anatomic body awareness (p < 0.05). It is suggested that physical performance and endurance increase anatomical body awareness when applied with appropriate treatment methods, can be applied for a healthier life and can be an additional application in the clinical environment.

Association of cardiometabolic risks with body composition in hemodialysis patients.

High body fat ratio is known as one of the main reasons that increase the risk of cardiovascular disease. This study examined the relationship between body composition and cardiometabolic risks in hemodialysis (HD) patients. This study was conducted with chronic kidney disease (CKD) patients who received HD treatment between March 2020 and September 2021. Anthropometric measurements of the individuals and their body composition analyses were performed using the bioelectrical impedance analysis (BIA) method. Framingham risk scores were calculated in order to determine the cardiometabolic risk factors of individuals. According to the Framingham risk score, 15.96% of individuals were found to have a high cardiometabolic risk. The lean-fat tissue index (LTI)/(FTI), body shape index (BSI) and visceral adiposity index (VAI) (female-male) values of individuals with high risk according to the Framingham risk score were found to be 11.34±2.29, 13.52±2.88, 8.50±3.89, 9.60±3.07, 0.086±0.024, respectively. The effect of anthropometric measurements in estimating the Framingham risk score was examined using the linear regression analysis. The regression analysis performed with BMI, LTI, VAI values, it was determined that 1-unit increase in VAI increased the Framingham risk score by 1,468 units (OR: 0.951-1.952) (p=0.002). It has been discovered that indices indicating adipose tissue increase the Framingham risk score in HD patients, independent of BMI. It is recommended to evaluate the ratios showing body fat ratio in cardiovascular diseases.

The Effect of Anthropometric Measurements on the Incidence of Atrial Fibrillation in Patients With Acute Myocardial Infarction.

Background and objectiveAtrial fibrillation (AFib) is the most common supraventricular arrhythmia occurring after myocardial infarction (MI). Height, body weight, waist and hip circumference, and body mass index (BMI) are considered potential risk factors for the development of AFib. The aim of this study was to investigate the effect of BMI and waist circumference on the incidence of AFib in patients with acute MI.MethodsThis prospective, cross-sectional, observational study was conducted in the coronary intensive care unit (CICU) of a tertiary care university hospital between July 2014 and February 2016. Patients diagnosed with ST-elevation myocardial infarction (STEMI) or non-ST-elevation myocardial infarction (NSTEMI) were included. Demographic, clinical, echocardiographic, and laboratory data, past medical history, and anthropometric measurements were recorded. Continuous electrocardiography (ECG) monitoring was performed for following up on the occurrence of AFib. Then, AFib predictors were identified using multiple regression analysis.ResultsAFib developed in 31 (9.3%) patients in the cohort. No significant difference was observed between patients with or without AFib in terms of BMI and waist circumference values (p=0.686 vs. p=0.728, respectively). Factors associated with AFib development as per the multivariate analyses included age (OR: 1.051, 95% CI: 1.013-1.09; p=0.008), pulse rate (OR: 1.043, 95% CI: 1.018-1.069; p=0.001), peak troponin T value (OR: 1.356, 95% CI: 1.135-1.619; p=0.001), and length of CICU stay (OR: 2.247, 95% CI: 1.163-4.340; p=0.016).ConclusionBMI and waist circumference measurements were similar in patients with and without AFib during acute MI. Age, pulse rate, peak troponin T, and duration of CICU stay were identified as independent predictors of AFib development.

Impact of Obesity, Visceral Adiposity and Metabolic Syndrome on Male Fertility

OBJECTIVE: The study aimed to assess the association between the separate anthropometric indexes including visceral adiposity and metabolic syndrome on male fertility. STUDY DESIGN: In a cross-sectional study, the visceral and subcutaneous fat thickness of 162 participants were measured by ultrasonography. Participants' body mass index, waist circumference, and waist/hip ratio were determined. Participants' biochemical metabolic parameters and reproductive hormones were measured and semen parameters were recorded. Participants were divided into groups according to body mass index and different percentiles of the visceral fat thickness. Differences between groups were investigated by One-way ANOVA, Kruskal-Wallis H, and Pearson Chi-Square test. The relationship between anthropometric measurements and sperm parameters was evaluated by Pearson and Spearman’s rank correlation test. The effect of anthropometric indexes on sperm parameters was evaluated using multivariate regression analysis. RESULTS: It was seen that only total testosterone of sex hormones decreased significantly in the obesity group (p=0.003). There was a significant and reverse association between visceral fat thickness with sperm morphology (rho=–0.2, p=0.01). There was no significant correlation between semen parameters and other anthropometric measurements. In multiple regression analysis, the effect of anthropometric measurements, including visceral fat thickness, on semen parameters was not found, but only smoking was found to be a factor affecting sperm concentration, progressive motility, and morphology (p=0.03, p=0.03, and p=0.01). CONCLUSION: In this study, it was shown that increased obesity was associated with low testosterone levels and increased visceral fat was associated with abnormal sperm morphology. More extensive studies are required on this subject.

Correlation between anthropometric measurements and hypertension in Oman

Introduction: Evidence that hypertension is related to increase in body fat is well established in literature. Evidence gathered from several studies shows that central obesity is a greater risk factor for cardiovascular diseases. Oman has witnessed an epidemiological transition to non-communicable diseases. Objectives: The objective of the study was to examine the correlation between different anthropometric indicators and hypertension in Omani adults. Materials and Methods: A total of 500 adults participated in this study after taking informed consent from them. All participants underwent blood pressure and anthropometric measurements using standard procedures. The population study was separated in males and females and the effect of anthropometric measurements was compared for normotensive and hypertensive population. Correlation of anthropometric measurements with mean systolic and diastolic blood pressure was observed. Results: Mean values of all anthropometric measurements were significantly higher in hypertensive compared to people with normal blood pressure across both the gender. In both males and females; hip circumference, waist circumference, waist height ratio and BMI had significant strong positive correlation with mean systolic blood pressure (p Conclusion: Simple anthropometric measurements like hip circumference, waist circumference and waist height ratio can be used to predict hypertension in both males and females. Keywords: Hip circumference, AUC, Correlation, Body mass index, Hypertension.

Effects of Anthropometric Measurements on Treatment Outcomes in Patients with Carpal Tunnel Syndrome.

The purpose of this study was to investigate the relationship between anthropometric hand/wrist measurements and outcomes following static wrist splintage in patients with mild-to-moderate carpal tunnel syndrome (CTS). Thirty nine patients with mild-to-moderate CTS were enrolled in this study. Anthropometric measurements of hand and wrist including wrist width, wrist depth, palm length, hand length, wrist ratio (wrist depth/wrist width) and wrist/palm ratio (wrist depth/palm length) were recorded as well as body mass index and ultrasonographic cross sectional area of median nerve. Patients were treated with static wrist splints and evaluated at 2nd, 4th and 12th weeks with Boston Carpal Tunnel Questionnaire, median nerve nerve conduction studies, Visual Analog Scale for pain and Likert Scale for numbness. Following treatment with a static wrist splint, the wrist ratio was correlated significantly with improvements in Boston Functional Status Scale at the second and forth weeks (r = -0.354, p = 0.027 and r = -0.320, p = 0.050 respectively) and Visual Analog Scale at the forth and 12th weeks (r = -0.352, p = 0.030 and r = -0.360, p = 0.029 respectively). Splinting provides symptomatic improvement in mild-to-moderate CTS and this study suggests that the wrist anthropometric measurements may influence treatment outcomes.

The Effect of Anthropometric Measures and Upper Body Strength on a Physically Demanding Soldiering Task

Soldiers serving in the combat arms are required to perform tasks with high physical demands. Armor personnel perform a tank ammunition loading task (TAL) where Soldiers repeatedly lift and carry rounds. While having Soldiers perform the actual TAL is the most direct method for determining their ability to perform the TAL, the combination of height, body mass and upper body strength may provide guidance on potential for successful task performance and possible training strategies. PURPOSE: To determine the effect of height, body mass and upper body strength on a Soldier’s ability to perform the TAL task. METHODS: While wearing a fighting load minus a weapon (approximately 32 kg), 94 men and 90 women Soldiers carried 18 tank rounds (25 kg each) 5 meters and lifted the rounds onto a platform simulating an Abrams tank hull (lift height = 1.63m). TAL performance was measured by the number of rounds moved per min (rounds·min-1). Soldiers performed an isometric bicep curl (BCkg) for upper body strength and their height in cm (HTcm) and body mass in kg (BMkg) were measured. Stepwise multiple regression was used to develop separate equations for males and females. RESULTS: For male Soldiers, average HTcm was 177.68 ± 19.56 cm (mean ± SD), BMkg 75.96 ± 12.18 kg, and they moved 7.69 ± 1.61 rounds·min-1. The regression equation was TAL = 7.03 - .011(HTcm) -.012(BMkg) + .079 (BCkg) (SEE = 1.51 rounds·min-1). Approximately 15 percent of the variability in the prediction (i.e. R2) of TAL performance is explained by the combination of HT, BM and BC. For women Soldiers, average HTcm was 165.80 ± 6.48 cm, BMkg 63.46 ± 9.23 kg, and they moved 3.32 ± 1.82 rounds · min-1. The regression equation was TAL = -9.83 + .029 (HTcm) + .090 (BMkg) + .097 (BCkg) (SEE = 1.36 rounds·min-1). Approximately 48 percent of the variability in the prediction (i.e. R2) of TAL performance is explained by the combination of HT, BM and BC. CONCLUSIONS: The combination of HT, BM and BC did not have a significant effect on male Soldier’s performance of the TAL, but the BC did. For women, BM and BC had the greatest effect. Training programs designed to develop a Soldier’s upper body strength may enhance TAL task performance and mitigate injury. Views expressed in this abstract are those of the authors and do not reflect official policy of the Department of Army, Department of Defense, or U.S. Government.

Determining The Effect Of Anthropometric Measures On Lower Limb Power Output In College Aged Students.

Determining The Effect Of Anthropometric Measures On Lower Limb Power Output In College Aged Students.

Allometric scaling and age-related differences in change of direction speed performances of young soccer players

Purpose: The purposes of this study were to compare change of direction speed (CODS) performances between different age categories (i.e., U-10, U-12, U-13, and U-18) and to develop allometric exponents for scaling this quality. Material and method: Data were gathered with the participation of 101 male soccer players (mean ± SD; age = 12.5 ± 2.9 years, mass = 44.4 ± 14.7 kg, height = 149.3 ± 17.7 cm, and leg length = 75.7 ± 13.1 cm). All players performed the Illinois change of direction speed test (ICDST). Results: U-18 players achieved significantly better results in ICDST compared with the other groups, whereas U-10 players had the lowest performances (F = 48.78, P 0.05). The ICDST performances were significantly associated with body mass (r = -0.58; P 0.05), indicating the effectiveness of allometric exponents in partialing out the effect of anthropometric measures on ICDST's compared to ratio scaling. Conclusion: Results indicated differences in CODS performance among soccer players of different age categories. These results demonstrated that developing allometric exponents are effective in controlling for anthropometric measures.

Effects of Anthropometric Measurements on Spinal Anaesthesia Block Characteristics and Hemodynamics

Effects of Anthropometric Measurements on Spinal Anaesthesia Block Characteristics and Hemodynamics

Determining The Effect Of Anthropometric Measures On Vertical Jump Displacement In College Aged Students.

Determining The Effect Of Anthropometric Measures On Vertical Jump Displacement In College Aged Students.

Fitness assessment using step tests: should anthropometrics be taken into consideration?

Step tests are commonly used to estimate cardiorespiratory fitness as nonexpensive and easy to administered evaluations. Although a positive effect of lower limbs length on step test performance could be hypothesized (Sekeljic et al., 2013), there is a need of substantiate the relationship between anthropometric aspects and step height. Therefore, the aim of this study was to evaluate the effects of anthropometric measurements on step test performances. After signing an informed consent, anthropometric data (body weight, height, sitting height) were measured in 13 (Female=9; Male=5) college students (age: 25.7±3.2 years). Lower limbs length was calculated as the difference between standing and sitting height. Heart rate (HR) values were recorded 5-minute after 3 tests performed with 30cm- (HR30), 40cm- (HR40), and 50cm- (HR50) step heights, randomly organized with a 2-day interval in between. ANOVA verified differences (p<0.05) in HR, whereas a correlation analysis was applied to anthropometric and HR values. No difference emerged for step height (HR30: 70.4±12.0 beat.min-1; HR40: 73.7±16.6 beat.min-1; HR50: 82.0±17.8 beat. min-1). Significant (p<0.05) correlations were found only between standing height (168.1±9.4cm) and HR50 (r=-0.69) and between lower limbs length (81.6±6.6 cm) and HR30 (r=-0.63). These findings suggest considering anthropometric measures of the individual when administering step test with 50cm- and 30cm-steps.

EFFECT OF MEASURES OF OBESITY ON THE ASSOCIATION BETWEEN RED CELL DISTRIBUTION WIDTH AND CARDIOVASCULAR MORTALITY AMONG REPRESENTATIVE U.S. ADULTS

Red cell distribution width (RDW), a novel biomarker, and anthropometric measures have been shown to be independent predictors of cardiovascular (CVD) events. We sought to explore the effect of anthropometric measures on predictive value of RDW for CVD, coronary heart disease (CHD) and all-cause

Effects of Anthropometric Measurements on Renal Function

Although the negative effect of increased body mass index on kidney has been examined, the relation between other anthropometric measurements and kidney functions has not been investigated sufficiently. This study looks at the influence of anthropometric measurements on kidney functions. Forty patients were included in the study. Patients who had increased or normal anthropometric measurements were compared by serum levels of the urea, creatinine, albumin, 24 hr urine creatinine clearance, and urinary albumin excretion rate (UAER). Of all patients, 22 (55%) had an increased body mass index (BMI), 19 (47.5%) had an increased waist circumference (WC), and 24 (60%) had an increased waist-hip ratio (WHR). Subjects with increased BMI, WC, and WHR had significantly higher levels of serum creatinine and UAER than the subjects with normal measurements. The relation between CC and BMI was statistically significant only among the anthropometric measurements (p = 0.026). The ratio of microalbuminuria was 27.3%, 21.1%, and 29.2% in persons with increased BMI, WC, and WHR, respectively. Increases of anthropometric measurements affect kidney functions negatively. However, the influence of BMI on kidney function is more prominent. For this reason; individuals with increased anthropometric measurements should be monitored closely in terms of renal functions additional to cardiovascular risk factors.