Manual Anthropometric Measurements Research Articles

Mandibular Gender Dimorphism: The Utility of Artificial Intelligence and Statistical Shape Modeling in Skeletal Facial Analysis.

In gender-affirming surgery, facial skeletal dimorphism is an important topic for every craniofacial surgeon. Few cephalometric studies have assessed this topic; however, they fall short to provide skeletal contour insights that direct surgical planning. Herein, we propose statistical shape modeling (SSM) as a novel tool for investigating mandibular dimorphism for young white individuals. A single-center, retrospective study was performed using computed tomography (CT) scans of white individuals, aged 20 to 39 years old. AI-assisted, three-dimensional (3D) mandibles were reconstructed in Materialise Mimics v25.0. We used SSM to generate average 3D models for both genders. Relevant manual anthropometric measurements were taken for the SSMs and individual mandibles. Contour disparities were then represented using 3D overlays and heatmaps. Statistical analyses were performed using unpaired student t testing or Wilcoxon signed rank testing with 95% confidence interval as deemed appropriate by population-level normality assessment. Ninety-eight patients (53 females, 45 males) were included. Male mandibles showed greater bigonial width, intercondylar width, ramus height, and body length [p<0.005]. There was no statistically significant difference in the gonial angle measurements [p=0.62]. All relevant manual individual measurements demonstrated excellent concordance to their SSM counterparts. The 3D overlays of SSMs revealed squarer male chins with more lateral but less anterior projection than their female counterparts. Also, the female mandibles showed smoother transition at the gonial angle. SSM provides a novel tool to objectively evaluate volumetric and contour dimorphisms between genders. Moreover, this method can be automated, allowing for expedited comparisons between populations of interest compared to manual assessment. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 . Bullet points about the importance of this work: Advancing Anthropometric Assessment: Statistical shape modeling (SSM) offers a cutting-edge approach to visualizing gender-specific skeletal anatomic differences for aesthetic and gender-affirming facial surgery. Expediting Comparative Analysis: The workflow established in this paper streamlines the evaluative process, enabling rapid morphologic comparisons between populations. Patient-Centered Care: This study establishes a foundation for the development of SSMs in individualized operative planning.

A comparative study of the effectiveness of photogrammetric versus manual anthropometric measurements.

The accurate measurement of the human body is essential when it comes to designing agricultural tools and equipment that can effectively accommodate and interact with individuals when performing a task. The traditional method for measuring an individual's body measurements is highly complex and requires two or more skilled individuals and reliable measurement tools. Finding a new approach that is speedier, more precise, and less expensive than current methods is therefore necessary. This study aims to develop an inexpensive novel photogrammetric anthropometric measurement setup that can extract the dimensions of an individual subject irrespective of their body shape. This study involved the creation of a setup comprising four cameras for a 360° photoshoot of human subjects to calibrate and test the developed measurement setup for capturing photos of human subjects and compare the results with manual measurements. Ten different body dimensions were measured using the setup. There was a significant correlation between the manual and photogrammetric measurement methods (0.943 < r < 0.997). The highest absolute error recorded was 1.87%. The photogrammetric method for collecting anthropometric data is a reliable substitute for manual measurements across diverse populations. The results indicate that this low-cost approach is highly precise and reliable, with strong correlation to manual measurements. Multiview photogrammetry proves effective for individuals of various body shapes, making it a versatile option for data collection.

Somatotype of the Tarung Derajat martial arts athletes in the fighter category

Somatotype is a parameter used to determine criteria based on body type. However, not many have taken somatotype measurements when selecting prospective athletes. The purpose of this study is to examine the somatotype of fighters in Tarung Derajat Martial Arts. In this study, tests and measurements of somatotype were carried out using manual anthropometric measurements, including height, weight, skinfold measurements at five points (biceps, triceps, suprailliaca, subscapula, and calf), arm circumference, calf circumference, and measurement of the width of the humerus bone and femur. The purposive sampling technique is used in determining the sample. In this study, 15 Tarung Derajat martial arts athletes, consisting of seven men and eight women, were sampled. The results of this study showed that 7 athletes had a mesomorph endomorph somatotype with a percentage of 46%, 1 athlete had an endomorph somatotype with a 7% percentage, 6 central athletes had a percentage of 40%, and 1 athlete had an ectomorph endomorph somatotype with a percentage of 7%. Finally, the dominant body type in Tarung Derajat Fighter athletes is mesomorph endomorph (46%), followed by central (40%). This study's data provide physical characteristics of degree fighters, which can be used to establish a reference for systematic sports medicine research.

High-accuracy Cloud Point Scanning Method based on a Dual Laser 3D Scanner for Head Profile

The purpose of this study is to investigate the efficient method of collecting 3D cloud points of head profile Malaysian. The objective of the research is to analyse the head anthropometric data with having the accuracy of the computations in several typical settings characterized by time-consuming, resolution levels and computed cloud point file sizes with eliminating artefacts. This case study approach is a statistical analysis and comparison of existing manual anthropometric and digital landmark measurements. This research is also dedicated to determining the relative accuracy of anthropometric head profile measurement using a 3D scanner to digitally generate a cloud point 3D file. In addition, the scanned cloud point 3D file is to be measured, and the degree of closeness of the manual anthropometric method to the absolute true value can be calculated. Participants were among Universiti Teknologi Malaysia’s students. They volunteered to share their head profile to collect anthropometric data. The steps of process procedures were conducted by setup a 3D handheld scanner, creating and collecting data from manual anthropometric measurement, scanning and reconstructing head profile, editing scan data and parameters, creating mesh data and transferring data to the software Geomagic, and carrying out data analysis and comparison by using Minitab. Thus, the analysis of variance and the standard deviation is conducted by using Minitab. Three sample objects were specified and analysed, their parameters in the registration process and the relative accuracy of the measurement data. As result, data comparison between the percentage errors of high detail, medium detail and low detail for each set of different fixed time runs. The high detail setting, which gives the average absolute difference, achieves the highest accuracy size (0.02mm) within the given nine-time frames. In comparison, the highest average absolute difference for low detail given 1.04mm, the second was medium detail given 0.97mm and the third was high detail given 0.93mm. Based on the overall data observation, the three sets of detail resolution settings at different fixed times contributed to the measurement with an average absolute difference between 0.02mm and 1.04mm. The accuracy of data can be optimized between the processing time and the typical settings of the resolution. The overall data measurement was analysed and the best time-consuming 3D scanning is shown in the figure, each resolution of a typical setting is between 210 seconds and 240 seconds. The purpose of carrying out this experiment is intending to reduce the scan-time consumption of 3D scanning, to minimize the variability and closer to well-perform anthropometric measurement data that has high accuracy. In conclusion, the accuracy of the 3D scan model is affected by the time processing and the typical settings of the resolution during the head contour scan. Therefore, optimum typical settings of the 3D scanner can help users minimise the impact of time-consuming and quality issues on the final 3D head profile scanning model.

Comparison of Body Scanner and Manual Anthropometric Measurements of Body Shape: A Systematic Review.

Anthropometrics are a set of direct quantitative measurements of the human body’s external dimensions, which can be used as indirect measures of body composition. Due to a number of limitations of conventional manual techniques for the collection of body measurements, advanced systems using three-dimensional (3D) scanners are currently being employed, despite being a relatively new technique. A systematic review was carried out using Pubmed, Medline and the Cochrane Library to assess whether 3D scanners offer reproducible, reliable and accurate data with respect to anthropometrics. Although significant differences were found, 3D measurements correlated strongly with measurements made by conventional anthropometry, dual-energy X-ray absorptiometry (DXA) and air displacement plethysmography (ADP), among others. In most studies (61.1%), 3D scanners were more accurate than these other techniques; in fact, these scanners presented excellent accuracy or reliability. 3D scanners allow automated, quick and easy measurements of different body tissues. Moreover, they seem to provide reproducible, reliable and accurate data that correlate well with the other techniques used.

Multiple measures derived from 3D photonic body scans improve predictions of fat and muscle mass in young Swiss men.

Digital tools like 3D laser-based photonic scanners, which can assess external anthropometric measurements for population based studies, and predict body composition, are gaining in importance. Here we focus on a) systematic deviation between manually determined and scanned standard measurements, b) differences regarding the strength of association between these standard measurements and body composition, and c) improving these predictions of body composition by considering additional scan measurements. We analysed 104 men aged 19-23. Bioelectrical Impedance Analysis was used to estimate whole body fat mass, visceral fat mass and skeletal muscle mass (SMM). For the 3D body scans, an Anthroscan VITUSbodyscan was used to automatically obtain 90 body shape measurements. Manual anthropometric measurements (height, weight, waist circumference) were also taken. Scanned and manually measured height, waist circumference, waist-to-height-ratio, and BMI were strongly correlated (Spearman Rho>0.96), however we also found systematic differences. When these variables were used to predict body fat or muscle mass, explained variation and prediction standard errors were similar between scanned and manual measurements. The univariable predictions performed well for both visceral fat (r2 up to 0.92) and absolute fat mass (AFM, r2 up to 0.87) but not for SMM (r2 up to 0.54). Of the 90 body scanner measures used in the multivariable prediction models, belly circumference and middle hip circumference were the most important predictors of body fat content. Stepwise forward model selection using the AIC criterion showed that the best predictive power (r2 up to 0.99) was achieved with models including 49 scanner measurements. The use of a 3D full body scanner produced results that strongly correlate to manually measured anthropometric measures. Predictions were improved substantially by including multiple measurements, which can only be obtained with a 3D body scanner, in the models.

Body height and waist circumference of young Swiss men as assessed by 3D laser-based photonic scans and by manual anthropometric measurements.

Overweight and obesity are considered among the major health concerns worldwide. The body mass index is a frequently used measure for overweight and obesity and is associated with common non-communicable diseases such as diabetes type II, cardiovascular diseases and certain cancers. However, the body mass index does not account for the distribution of body fat and relative fat to muscle mass. 3D laser-based photonic full body scans provide detailed information on various body circumferences, surfaces, and volumes as well as body height and weight (using an integrated scale). In the literature, body scans showed good feasibility, reliability, and validity, while also demonstrating a good correlation with health parameters linked to the metabolic syndrome. However, systematic differences between body scan derived measurements and manual measurements remain an issue. This study aimed to assess these systematic differences for body height, waist circumference, and body mass index using cross-sectional data from a homogenous sample of 52 young Swiss male volunteers. In addition to 3D laser-based photonic full body scans and correlative manual measurements, body fat distribution was assessed through bioelectrical impedance analysis. Overall, an excellent correlation was found between measurements of waist circumference and body mass index, and good correlation between body mass index and total fat mass, as well as between waist circumference and visceral fat mass as assessed by bioelectrical impedance analysis. Volunteers were shorter in height measured by body scan when compared to manual measurements. This systematic difference became smaller when volunteers stood in the scanner in a completely upright position with their feet together. Waist circumference was slightly smaller for manual measurements than for body scan derived values. This systematic difference was larger in overweight volunteers compared to leaner volunteers.

A comparison of manual anthropometric measurements with Kinect-based scanned measurements in terms of precision and reliability

Collecting anthropometric data for real-life applications demands a high degree of precision and reliability. Itis important to test new equipment that will be used for data collectionOBJECTIVE:Compare two anthropometric data gathering techniques - manual methods and a Kinect-based 3D body scanner- to understand which of them gives more precise and reliable results. The data was collected using a measuring tape and a Kinect-based 3D body scanner. It was evaluated in terms of precision by considering the regular and relative Technical Error of Measurement and in terms of reliability by using the Intraclass Correlation Coefficient, Reliability Coefficient, Standard Error of Measurement and Coefficient of Variation. The results obtained showed that both methods presented better results for reliability than for precision. Both methods showed relatively good results for these two variables, however, manual methods had better results for some body measurements. Despite being considered sufficiently precise and reliable for certain applications (e.g. apparel industry), the 3D scanner tested showed, for almost every anthropometric measurement, a different result than the manual technique. Many companies design their products based on data obtained from 3D scanners, hence, understanding the precision and reliability of the equipment used is essential to obtain feasible results.

Improving the quality of child anthropometry: Manual anthropometry in the Body Imaging for Nutritional Assessment Study (BINA).

Anthropometric data collected in clinics and surveys are often inaccurate and unreliable due to measurement error. The Body Imaging for Nutritional Assessment Study (BINA) evaluated the ability of 3D imaging to correctly measure stature, head circumference (HC) and arm circumference (MUAC) for children under five years of age. This paper describes the protocol for and the quality of manual anthropometric measurements in BINA, a study conducted in 2016–17 in Atlanta, USA. Quality was evaluated by examining digit preference, biological plausibility of z-scores, z-score standard deviations, and reliability. We calculated z-scores and analyzed plausibility based on the 2006 WHO Child Growth Standards (CGS). For reliability, we calculated intra- and inter-observer Technical Error of Measurement (TEM) and Intraclass Correlation Coefficient (ICC). We found low digit preference; 99.6% of z-scores were biologically plausible, with z-score standard deviations ranging from 0.92 to 1.07. Total TEM was 0.40 for stature, 0.28 for HC, and 0.25 for MUAC in centimeters. ICC ranged from 0.99 to 1.00. The quality of manual measurements in BINA was high and similar to that of the anthropometric data used to develop the WHO CGS. We attributed high quality to vigorous training, motivated and competent field staff, reduction of non-measurement error through the use of technology, and reduction of measurement error through adequate monitoring and supervision. Our anthropometry measurement protocol, which builds on and improves upon the protocol used for the WHO CGS, can be used to improve anthropometric data quality. The discussion illustrates the need to standardize anthropometric data quality assessment, and we conclude that BINA can provide a valuable evaluation of 3D imaging for child anthropometry because there is comparison to gold-standard, manual measurements.

Comparison of 3D laser‐based photonic scans and manual anthropometric measurements of body size and shape in a Swiss validation study

Manual anthropometric measurements are time‐consuming and challenging to perform within acceptable intra‐ and inter‐individual error margins in large studies. Three‐dimensional (3D) laser body scanners provide a fast and precise alternative: Within a few seconds the system produces a 3D image of the body topography and calculates some 150 standardized body size measurements.The aim was to enhance the small number of existing validation studies and compare scan and manual techniques based on five selected measurements. We assessed the agreement between two repeated measurements within the two methods, analyzed the direct agreement between the two methods, and explored the differences between the techniques when used in regressions assessing the effect of health related determinants on body shape indices.We performed two repeated body scans on 123 volunteering young men using a Vitus Smart XXL body scanner. We manually measured height, waist, hip, buttock, and chest circumferences twice for each participant according to the WHO guidelines. The participants also filled in a basic questionnaire.Mean differences between the two scan measurements were smaller than between the two manual measurements, and precision and intra‐class correlation coefficients were higher. Both techniques were strongly correlated. When comparing means between both techniques we found significant differences: Height was systematically shorter by 2.1cm, whereas waist, hip and bust circumference measurements were larger in the scans by 1.17–4.37cm. In consequence, body shape indices also became larger and the prevalence of overweight was greater when calculated from the scans. Between 4.1% and 7.3% of the probands changed risk category from normal to overweight when classified based on the scans. However, when employing regression analyses the two measurement techniques resulted in very similar coefficients, confidence intervals, and p‐values.For performing a large number of measurements in a large group of probands in a short time, body scans generally showed good feasibility, reliability, and validity in comparison to manual measurements. The systematic differences between the methods may result from their technical nature (contact vs. non‐contact).Support or Funding InformationMäxi Foundation

Comparison of 3D laser-based photonic scans and manual anthropometric measurements of body size and shape in a validation study of 123 young Swiss men.

BackgroundManual anthropometric measurements are time-consuming and challenging to perform within acceptable intra- and inter-individual error margins in large studies. Three-dimensional (3D) laser body scanners provide a fast and precise alternative: within a few seconds the system produces a 3D image of the body topography and calculates some 150 standardised body size measurements.ObjectiveThe aim was to enhance the small number of existing validation studies and compare scan and manual techniques based on five selected measurements. We assessed the agreement between two repeated measurements within the two methods, analysed the direct agreement between the two methods, and explored the differences between the techniques when used in regressions assessing the effect of health related determinants on body shape indices.MethodsWe performed two repeated body scans on 123 volunteering young men using a Vitus Smart XXL body scanner. We manually measured height, waist, hip, buttock, and chest circumferences twice for each participant according to the WHO guidelines. The participants also filled in a basic questionnaire.ResultsMean differences between the two scan measurements were smaller than between the two manual measurements, and precision as well as intra-class correlation coefficients were higher. Both techniques were strongly correlated. When comparing means between both techniques we found significant differences: Height was systematically shorter by 2.1 cm, whereas waist, hip and bust circumference measurements were larger in the scans by 1.17–4.37 cm. In consequence, body shape indices also became larger and the prevalence of overweight was greater when calculated from the scans. Between 4.1% and 7.3% of the probands changed risk category from normal to overweight when classified based on the scans. However, when employing regression analyses the two measurement techniques resulted in very similar coefficients, confidence intervals, and p-values.ConclusionFor performing a large number of measurements in a large group of probands in a short time, body scans generally showed good feasibility, reliability, and validity in comparison to manual measurements. The systematic differences between the methods may result from their technical nature (contact vs. non-contact).

Assessment of Child Anthropometry in a Large Epidemiologic Study.

A high proportion of children have overweight and obesity in the United States and other countries. Accurate assessment of anthropometry is essential to understand health effects of child growth and adiposity. Gold standard methods of measuring adiposity, such as dual X-ray absorptiometry (DXA), may not be feasible in large field studies. Research staff can, however, complete anthropometric measurements, such as body circumferences and skinfold measurements, using inexpensive portable equipment. In this protocol we detail how to obtain manual anthropometric measurements from children, including standing and sitting height, weight, waist circumference, hip circumference, mid-upper arm circumference, triceps skinfold thickness, and subscapular skinfold thickness, and procedures to assess the quality of these measurements. To demonstrate accuracy of these measurements, among 1,110 school-aged children in the pre-birth cohort Project Viva we calculated Spearman correlation coefficients comparing manual anthropometric measurements with a gold standard measure of body fat, DXA fat mass1. To address reliability, we evaluate intra-rater technical error of measurement at a quality control session conducted on adult female volunteers.

Development and Application of Portable Manual Non-Contact-Type Anthropometric Instruments for Measuring Human Anatomical Longitudinal Parameters

Several contact-type anthropometric instruments have been previously established for use in population surveys that contribute to the construction of anthropometric databases. Manual anthropometric measurements need to comply with or fulfill the following conditions: anatomical landmarks (term, location, and detecting method); measuring methods (item and subject's posture); five contact-type instruments (anthropometer, large sliding caliper, sliding caliper, spreading caliper, and tape measure); and well-trained examiners. Here, two manual non-contact-type portable anthropometric instruments were developed for measuring small regions such as the head and for larger regions such as the trunk of the human body, and for obtaining anatomical longitudinal parameters (length, height, breadth, and depth) based on the principle of projection by spot irradiation using laser markers. A new landmark-detecting method, based on the idea of visual landmarks, was proposed instead of the conventional palpation method (direct feeling with fingers), which was not appropriate for a non-contact measuring system. The accuracy of each instrument was tested using industrial tools, and performance was compared with contact-type instruments using a skeletal model (four measurements), a free posture manikin (eight measurements), and the healthy human body (five males and five females; nine measurements). Measurement errors and visual inspection to detect landmarks were discussed. The instruments show applicability to non-contact anthropometry.

Comparison of body fat estimates using 3D digital laser scans, direct manual anthropometry, and DXA in men

The purpose of this study was to assess the feasibility of utilizing three dimensional whole body laser surface scanning (3DS) to obtain specific anthropometric measurements to estimate percent body fat (BF). Percent BF estimates from 37 male volunteers, of age 18-62 yr, were determined by inputting manual anthropometric (MA) and 3DS anthropometric measurements into the current Army BF prediction equation for males. The results were compared with each other and to BF values from Dual Energy X-ray Absorptiometry (DXA), employed as a reference method. Mean percent BF estimates (+/-SD) derived from MA, 3DS and from DXA were 18.4(+/-3.8), 18.8(+/-3.9), and 18.9(+/-4.7), respectively. Analysis of Variance tests revealed no statistical difference between the mean values. Correlation analysis comparing MA and 3DS derived percent BF estimates to each other and to those measured by DXA revealed moderate to strong Pearson correlation coefficients (r), small to moderate standard errors of the estimate (SEE), and were statistically significant (p < 0.05). Correlation coefficients and SEE results for this sample were: (1) DXA vs 3DS; r = 0.74, SEE = 3.2, (2) MA vs DXA; r = 0.82, SEE = 2.8, and (3) MA vs 3DS; r = 0.96, SEE = 1.0. Lin's concordance analysis, including Bland-Altman limits of agreement (LOA), revealed statistically significant measurement agreement among the three measurement modalities (p < 0.05). The application of 3DS scanning to estimate percent BF from commonly used anthropometric measurements are in close agreement with BF estimates derived from analogous MA measurements and from DXA scanning.

3D body scan analysis of dimensional change in lower body measurements for active body positions

In this study we use 3D scans to measure and analyze lower body measurement change for various active body positions, comparing a standing posture, a 120° knee bend posture, a one pace stepping posture, and a sitting posture with 90° knee bend. Small hemispherical markers identified body landmarks for reliable measurement of the 3D scans. Study participants were 25 females, aged 18 to 24, with hip measurements from 93 cm to 103 cm. We compared the measurements from each posture to a standing posture with feet apart and arms abducted (a modified anthropometric stance commonly used for body scanning). We also tested the reliability of the 3D measurements on active postures. Two types of measurements were compared, 3D scan measurements using virtual tools on the computer screen and traditional manual anthropometric measurements. No significant differences between the two types of measurements were found except for knee height. Selected scan measurements were also repeated three times and found to be reliable. A comparison of scan measurements in the active postures showed significant changes from the standard standing scan posture. The sitting posture showed the most change in measurements. Back center leg length, front center leg length, front waist to hip line depth, front crotch length, back crotch length, knee girth, and hip girth were the items that exhibited the most change in the sitting posture. The measurement of 3D scans provided a reliable and convenient method for comparative measurements between active body positions, which would be impractical to measure using standard anthropometric methods.