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Scientific Reports May 2016Anthropometric quantities are widely used in epidemiologic research as possible confounders, risk factors, or outcomes. 3D laser-based body scans (BS) allow evaluation... (Comparative Study)
Comparative Study
Anthropometric quantities are widely used in epidemiologic research as possible confounders, risk factors, or outcomes. 3D laser-based body scans (BS) allow evaluation of dozens of quantities in short time with minimal physical contact between observers and probands. The aim of this study was to compare BS with classical manual anthropometric (CA) assessments with respect to feasibility, reliability, and validity. We performed a study on 108 individuals with multiple measurements of BS and CA to estimate intra- and inter-rater reliabilities for both. We suggested BS equivalents of CA measurements and determined validity of BS considering CA the gold standard. Throughout the study, the overall concordance correlation coefficient (OCCC) was chosen as indicator of agreement. BS was slightly more time consuming but better accepted than CA. For CA, OCCCs for intra- and inter-rater reliability were greater than 0.8 for all nine quantities studied. For BS, 9 of 154 quantities showed reliabilities below 0.7. BS proxies for CA measurements showed good agreement (minimum OCCC > 0.77) after offset correction. Thigh length showed higher reliability in BS while upper arm length showed higher reliability in CA. Except for these issues, reliabilities of CA measurements and their BS equivalents were comparable.
Topics: Anthropometry; Body Size; Female; Humans; Imaging, Three-Dimensional; Lasers; Male; Middle Aged
PubMed: 27225483
DOI: 10.1038/srep26672 -
Arquivos Brasileiros de Cardiologia Oct 2021
Topics: Anthropometry; Cardiovascular Diseases; Humans; Waist Circumference
PubMed: 34709298
DOI: 10.36660/abc.20210716 -
Traffic Injury Prevention Oct 2020This study aims to evaluate the assumption of geometric similitude inherent to equal-stress equal-velocity scaling by determining if scale factors created with different...
OBJECTIVE
This study aims to evaluate the assumption of geometric similitude inherent to equal-stress equal-velocity scaling by determining if scale factors created with different anthropometry metrics result in different scaled injury tolerance predictions. This assumption will be evaluated when equal-stress equal-velocity scaling is employed across dissimilar (e.g., 50 male to small female) and similar (e.g., small female to a reference small female anthropometry) anthropometries.
METHODS
Three average male and three small female lower extremity specimens that were tested in ankle inversion/eversion were selected for scaling analysis. Three additional female specimens were selected as a reference dataset, such that the accuracy of the scaled data could be compared to an independent measured dataset. The failure moments, total height and total weight for these donors were determined from literature. Additional anthropometry metrics (leg length, calcaneus height, and bimalleolar width) were taken from each of their respective CT scans. Scale factors were calculated from these previously determined anthropometric metrics for the six donors selected for scaling analysis by targeting the averaged anthropometry metrics of the reference small female dataset. Equal-stress equal-velocity scaling was applied to the failure moments from literature using different scale factors. The mean predicted failure tolerance and standard deviation for scaled data using different scale factors were compared to one another and to the mean failure tolerance from the reference (unscaled) small female dataset.
RESULTS
When using average male data to predict ankle failure moment for a small female anthropometry, scaled moments were statistically significantly different from measured small female failure moment. Furthermore, scaled failure moments predicted using scale factors based on different anthropometry metrics were found to be significantly different from one another. Conversely, predicted mean failure moment using scaled female data of a similar size to the reference data was not significantly different from measured female failure moment, and the predicted failure moments were not significantly affected by choice of scale factor.
CONCLUSIONS
This study shows that an injury metric predicted with equal-stress equal-velocity scaling is sensitive to choice of scale factor when employing scaling across occupants of dissimilar size and sex. This conclusion suggests error can be introduced into scaled response due to choice of anthropometry metric used to create a scale factor, and therefore, anthropometry metrics used to create scale factors should be justified mechanistically and shown to apply across size and sex before being employed.
Topics: Acceleration; Accidents, Traffic; Ankle; Ankle Injuries; Anthropometry; Female; Humans; Male; Reproducibility of Results
PubMed: 33179977
DOI: 10.1080/15389588.2020.1829919 -
Ergonomics Oct 2022The objective of this work is to identify the most effective techniques for reweighting anthropometric data such that it accurately represents a target user population....
The objective of this work is to identify the most effective techniques for reweighting anthropometric data such that it accurately represents a target user population. Seven methods are compared, including uniform weighting, stratification and permutations of nearest neighbour (NN) reweighting. The analysis illuminates the performance of existing and novel approaches to reweighting data specifically for approximating body size and shape ('anthropometry'). While uniform weighting and stratified sampling are often used in this field, the present analysis indicates that lower-order NN approaches will produce more representative results. Although anthropometric data are crucial to the design of artefacts, tasks and environments, finding appropriate representative data is challenging. Designers and ergonomists are unlikely to find data that are simultaneously accessible, up-to-date, detailed and from the relevant population. The application of new statistical weights - - is one useful strategy for meeting this shortfall. This research indicates the best methods for reweighting and provides guidance for sampling strategies in future data collection efforts. Reweighting anthropometric data is one strategy for matching available data to a target user population. Stratified sampling is often used as the method for calculating weights, but it has been shown to produce inaccurate estimates. This research examines seven strategies and finds low-order NN approaches are the more accurate methods.
Topics: Anthropometry; Body Size; Cluster Analysis; Humans; Research Design
PubMed: 35193477
DOI: 10.1080/00140139.2022.2039409 -
BMC Pediatrics Sep 2020Accurate anthropometric measurements are essential for assessing nutritional status, monitoring child growth, and informing clinical care. We aimed to improve height...
BACKGROUND
Accurate anthropometric measurements are essential for assessing nutritional status, monitoring child growth, and informing clinical care. We aimed to improve height measurements of hospitalized pediatrics patients through implementation of gold standard measurement techniques.
METHODS
A quality improvement project implemented computerized training modules on anthropometry and standardized wooden boards for height measurements in a tertiary children's hospital. Heights were collected pre- and post-intervention on general pediatric inpatients under 5 years of age. Accuracy of height measurements was determined by analyzing the variance and by comparing to World Health Organization's defined biologically plausible height-for-age z-scores. Qualitative interviews assessed staff attitudes.
RESULTS
Ninety-six hospital staff completed the anthropometry training. Data were available on 632 children pre- and 933 post-intervention. Training did not increase the proportion of patients measured for height (78.6% pre-intervention vs. 75.8% post-intervention, p = 0.19). Post-intervention, wooden height boards were used to measure height of 34.8% patients, while tape measures and wingspan accounted for 42.0% and 3.5% of measurements, respectively. There was no improvement in the quality of height measurements based on plausibility (approximately 3% height-for-age z-scores measurements flagged out of range pre- and post-intervention), digit preference (13.4% of digits pre- and 12.3% post-intervention requiring reclassification), or dispersion of measurements (height-for-age z-scores standard deviation 1.9 pre- and post-intervention). Staff reported that using the wooden board was too labor consuming and cumbersome.
CONCLUSIONS
Our findings suggest that efforts to improve anthropometric measurements of hospitalized children have multiple obstacles, and further investigation of less cumbersome methods of measurements may be warranted.
Topics: Anthropometry; Body Height; Body Weight; Child; Family; Hospitals, Pediatric; Humans; Inpatients; Nutritional Status
PubMed: 32883257
DOI: 10.1186/s12887-020-02289-1 -
Vital & Health Statistics. Series 3,... Jan 2021Based on nationally representative anthropometric data, the National Center for Health Statistics (NCHS) has published reference tables on the distribution of various...
Based on nationally representative anthropometric data, the National Center for Health Statistics (NCHS) has published reference tables on the distribution of various body measurements for the U.S. population (1-5). National Health and Nutrition Examination Survey (NHANES) data are the primary source of body measurement information for the U.S. population. These measurements reflect the mean weight, height, length, and various circumferences of U.S. children and adults. Anthropometry is a measure of nutritional or general health status, dietary adequacy, and growth. This report presents anthropometric reference data from the years 2015-2018 for U.S. children and adults.
Topics: Adolescent; Adult; Anthropometry; Body Height; Body Mass Index; Body Weight; Child; Child, Preschool; Female; Humans; Infant; Infant, Newborn; Male; Middle Aged; National Center for Health Statistics, U.S.; Nutrition Surveys; Reference Values; United States; Young Adult
PubMed: 33541517
DOI: No ID Found -
Nutrition and Cancer 2019Anthropometric indices have a debatable relationship with breast cancer (BC) among different ethnicity. In the current study, we have evaluated the relationship between...
Anthropometric indices have a debatable relationship with breast cancer (BC) among different ethnicity. In the current study, we have evaluated the relationship between anthropometric indices and BC in Iranian participants. Between 2012 and 2014, a total of 7,805 women were enrolled from different mammography centers in Isfahan province, Iran. For each participant, a detailed questionnaire was filled out and anthropometric indices were measured by trained technicians. We used logistic regression models to estimate odds ratios (OR) and 95% confidence interval (CI) for BC risk associated with anthropometry measurements, stratified on menopausal status. In the postmenopausal group, weight ≥68 kg compared to weight <61.75 kg was associated with decreased risk of BC (OR = 0.78; 95% CI: 0.63-0.97). Postmenopausal women with Waist-Hip Ratio (WHR) ≥ 0.85 compared to WHR < 0.77 were at increased risk of BC (OR = 1.36; 95% CI: 1.07-1.73). Both premenopausal and postmenopausal women had a decreased risk of BC with higher Obesity Index (OI) and Relative Weight. Ethnicity appears to play an important role in the discrepancies between results of different studies about the correlation of anthropometric features with BC.
Topics: Adult; Anthropometry; Body Mass Index; Body Weight; Breast Neoplasms; Female; Humans; Iran; Middle Aged; Obesity; Odds Ratio; Postmenopause; Premenopause; Retrospective Studies; Risk Factors; Waist Circumference; Waist-Hip Ratio
PubMed: 31025887
DOI: 10.1080/01635581.2019.1604005 -
Clinical Nutrition ESPEN Oct 2019Measurement of length and head circumference (HC) in addition to weight is vital in assessing the nutritional status of preterm infants. Current anthropometry represents...
BACKGROUND
Measurement of length and head circumference (HC) in addition to weight is vital in assessing the nutritional status of preterm infants. Current anthropometry represents an interruption to preterm infants, and may not be possible in unstable infants. Handheld 3D scanning has the potential to perform bedside anthropometry (length and HC) in a less invasive manner. We aimed to evaluate the feasibility and performance of 3D scanning as a 'non-touch' measuring technique for routine anthropometry.
METHODS
Preterm infants born before 30 weeks gestation were recruited from a single neonatal unit. HC and length were measured both manually and by a handheld 3D scanner at recruitment and weekly until discharge. The two methods were compared using the Bland-Altman method and linear regression.
RESULTS
Seventeen infants had manual and 3D-scan measurements (67 HC, 87 length). The mean difference (95%CI) between manual and 3D-scan measures, as a percentage of the manual value, was 2.87% (2.27-3.47%) for HC and 3.10% (2.65-3.54%) for length. Correlation between manual and 3D measures was high; HC r = 0.957 and length 0.963. Bland-Altman plots showed reasonable agreement between the two methods, and there was a high correlation between scanner and manual measurements.
CONCLUSIONS
These data show a high correlation between measurements gathered from 3D scan images and standard anthropometry. However, 3D measures are not yet precise enough for routine clinical use. Refinement of technique/technology may translate into practical monitoring the growth of preterm infants with minimal handling and without interruption to developmental care.
Topics: Anthropometry; Body Weight; Cephalometry; Female; Gestational Age; Humans; Imaging, Three-Dimensional; Infant, Newborn; Infant, Premature; Male; Nutrition Assessment; United Kingdom
PubMed: 31451267
DOI: 10.1016/j.clnesp.2019.06.012 -
Acta Neurologica Belgica Feb 2022Most studies on body awareness offer data on assessment and treatment in disease situations. The aim of this study is to investigate the relationship between...
Most studies on body awareness offer data on assessment and treatment in disease situations. The aim of this study is to investigate the relationship between anthropometric measurements and body awareness level of healthy people. The study was carried out with 289 volunteer students between the ages of 18-25 who studied at university. Anthropometric measurements included height, weight, circumference measurements and measurement rates, skinfold thicknesses. In addition, grip strength and lower limb muscle strength was evaluated. The level of body awareness was evaluated by the Body Awareness Questionnaire. The mean age of the participants included in the study was 19.34 ± 1.48. Sixty five percent were female and 35% were male. A negative correlation was found between body weight and body awareness level (p = 0.02). According to the results of canonical correlation analysis, the model created with circumference measurement rates and sub-dimensions of the Body Awareness Questionnaire was found significant. There was significantly correlated between the changes in the body process and attention to responses, which are sub-dimension, and total right measurement of the lower limb (r:0.124; p: 0.035). In addition, there was a significant relationship between sleep-wakefulness cycle and waist-to-thigh ratios (r:- 0.172; p: 0.003). Our study showed that body awareness is directly related to body weight, lower limb circumference measurements, and waist-to-thigh ratio. These data revealed the effect of body awareness on anatomical structures.
Topics: Adolescent; Adult; Anthropometry; Body Composition; Body Height; Body Image; Body Mass Index; Female; Humans; Male; Muscle Strength; Skinfold Thickness; Surveys and Questionnaires; Young Adult
PubMed: 33661514
DOI: 10.1007/s13760-020-01578-x -
Andes Pediatrica : Revista Chilena de... Aug 2022Physical fitness is one of the important health markers as a predictor of cardiovascular disease mor bidity and mortality.
UNLABELLED
Physical fitness is one of the important health markers as a predictor of cardiovascular disease mor bidity and mortality.
OBJECTIVES
To evaluate the relationship between fat mass with anthropome tric indicators and, secondly, to compare the performance of physical fitness among children and adolescents categorized with adequate and excess fat mass.
SUBJECTS AND METHOD
A descriptive cross-sectional study was conducted with 863 schoolchildren aged 6 to 17.9 years. Weight, height, and waist circumference were measured. physical fitness [speed (20m), agility (10x5m), and ho rizontal jump] was evaluated. Fat mass was calculated by anthropometric equation, body mass index, ponderal index, and waist to height ratio. Data were grouped into 6 age groups.
RESULTS
Children of both sexes categorized as having adequate levels of fat mass had lower values of body mass index, ponderal index, and waist to height ratio than children with high levels of fat mass. In physical fitness, children with adequate fat mass were better than the ones with elevated fat mass. In girls with adequate fat mass, better results were observed in horizontal jump and agility during adolescence. There were no differences in the speed test.
CONCLUSION
Fat mass can be considered as a valuable tool for determining excess body fat and categorizing children and adolescents with adequate and excess fat mass. In addition, having acceptable levels of fat mass may contribute to better physical fitness in boys in horizontal jump, agility, and speed and, in girls, only in horizontal jump and agility.
Topics: Male; Female; Humans; Child; Adolescent; Cross-Sectional Studies; Physical Fitness; Body Mass Index; Anthropometry; Waist Circumference
PubMed: 37906845
DOI: 10.32641/andespediatr.v93i4.3906