Journal articles on the topic 'Anthropometry'
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Kumar Verma, Hemendra, and Mahendra Kumar Sharma. "Dimensions of Health: Ayurveda’s Swa Anguli Pramana and Siddha Manikkadai Nool in Comparative Analysis." International Journal of Health Sciences and Research 14, no. 5 (May 23, 2024): 453–60. http://dx.doi.org/10.52403/ijhsr.20240559.
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Introduction: Anthropometry serves as a vital scientific tool for measuring human body dimensions, influenced by various factors including nutrition, psychology, environment, and infections. Ayurvedic and Siddha medical traditions provide unique insights into anthropometry, emphasizing the importance of precise measurements for assessing health and diagnosing diseases. Materials and Methods: This study reviews Ayurvedic texts, Siddha texts, Rachana Sharir books, and modern anthropometry literature to explore concepts related to anthropometry. Specific focus is given to the Swa Anguli Pramana in Ayurveda and the Manikkadai Nool in Siddha medicine. Measurements and diagnostic procedures outlined in ancient texts are compared with modern anthropometric practices. Results and Discussion: Ayurvedic Swa Anguli Pramana and Siddha Manikkadai Nool offer distinct approaches to anthropometry, providing valuable insights into human health assessment and disease diagnosis. The study highlights the correlation between wrist circumference measurements and disease prognosis in Siddha medicine. Integrating ancient anthropometric techniques with modern healthcare systems could enhance patient assessment, treatment planning, and interdisciplinary research in medical anthropology. Key words: Anthropometry, Ayurveda, Siddha, Swa Anguli Pramana, Manikkadai Nool.
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Pugh, Sarah J., Ana M. Ortega-Villa, William Grobman, Stefanie N. Hinkle, Roger B. Newman, Mary Hediger, Jagteshwar Grewal, Deborah A. Wing, Paul S. Albert, and Katherine L. Grantz. "Longitudinal changes in maternal anthropometry in relation to neonatal anthropometry." Public Health Nutrition 22, no. 5 (February 11, 2019): 797–804. http://dx.doi.org/10.1017/s1368980018003749.
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AbstractObjectiveTo characterize the association of longitudinal changes in maternal anthropometric measures with neonatal anthropometry and to assess to what extent late-gestational changes in maternal anthropometry are associated with neonatal body composition.DesignIn a prospective cohort of pregnant women, maternal anthropometry was measured at six study visits across pregnancy and after birth, neonates were measured and fat and lean mass calculated. We estimated maternal anthropometric trajectories and separately assessed rate of change in the second (15–28 weeks) and third trimester (28–39 weeks) in relation to neonatal anthropometry. We investigated the extent to which tertiles of third-trimester maternal anthropometry change were associated with neonatal outcomes.SettingWomen were recruited from twelve US sites (2009–2013).ParticipantsNon-obese women with singleton pregnancies (n 2334).ResultsA higher rate of increase in gestational weight gain was associated with larger-birth-weight infants with greater lean and fat mass. In contrast, higher rates of increase in maternal anthropometry measures were not associated with infant birth weight but were associated with decreased neonatal lean mass. In the third trimester, women in the tertile of lowest change in triceps skinfold (−0·57 to −0·06 mm per week) had neonates with 35·8 g more lean mass than neonates of mothers in the middle tertile of rate of change (−0·05 to 0·06 mm per week).ConclusionsThe rate of change in third-trimester maternal anthropometry measures may be related to neonatal lean and fat mass yet have a negligible impact on infant birth weight, indicating that neonatal anthropometry may provide additional information over birth weight alone.
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Gupta, Priya M., Kasthuri Sivalogan, Richard Oliech, Eugene Alexander, Jamie Klein, O. Yaw Addo, Dickson Gethi, Victor Akelo, Dianna M. Blau, and Parminder S. Suchdev. "Impact of anthropometry training and feasibility of 3D imaging on anthropometry data quality among children under five years in a postmortem setting." PLOS ONE 18, no. 9 (September 28, 2023): e0292046. http://dx.doi.org/10.1371/journal.pone.0292046.
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Background The Child Health and Mortality Prevention Surveillance Network (CHAMPS) identifies causes of under-5 mortality in high mortality countries. Objective To address challenges in postmortem nutritional assessment, we evaluated the impact of anthropometry training and the feasibility of 3D imaging on data quality within the CHAMPS Kenya site. Design Staff were trained using World Health Organization (WHO)-recommended manual anthropometry equipment and novel 3D imaging methods to collect postmortem measurements. Following training, 76 deceased children were measured in duplicate and were compared to measurements of 75 pre-training deceased children. Outcomes included measures of data quality (standard deviations of anthropometric indices and digit preference scores (DPS)), precision (absolute and relative technical errors of measurement, TEMs or rTEMs), and accuracy (Bland-Altman plots). WHO growth standards were used to produce anthropometric indices. Post-training surveys and in-depth interviews collected qualitative feedback on measurer experience with performing manual anthropometry and ease of using 3D imaging software. Results Manual anthropometry data quality improved after training, as indicated by DPS. Standard deviations of anthropometric indices exceeded limits for high data quality when using the WHO growth standards. Reliability of measurements post-training was high as indicated by rTEMs below 1.5%. 3D imaging was highly correlated with manual measurements; however, on average 3D scans overestimated length and head circumference by 1.61 cm and 2.27 cm, respectively. Site staff preferred manual anthropometry to 3D imaging, as the imaging technology required adequate lighting and additional considerations when performing the measurements. Conclusions Manual anthropometry was feasible and reliable postmortem in the presence of rigor mortis. 3D imaging may be an accurate alternative to manual anthropometry, but technology adjustments are needed to ensure accuracy and usability.
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Knechtle, Beat, Barbara Baumann, Patrizia Knechtle, Andrea Wirth, and Thomas Rosemann. "A Comparison of Anthropometry between Ironman Triathletes and Ultra-swimmers." Journal of Human Kinetics 24, no. 1 (January 1, 2010): 57–64. http://dx.doi.org/10.2478/v10078-010-0020-7.
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A Comparison of Anthropometry between Ironman Triathletes and Ultra-swimmersWe intended to compare the anthropometry of male and female Ironman triathletes with the anthropometry of male and female ultra-swimmers. Body mass, body mass index and body fat were lower in both male and female triathletes compared to swimmers. Body height and length of limbs were no different between the two groups. In the multi-variate analysis, in male triathletes, body mass (p=0.015) and percent body fat (p=0.0003) were related to race time; percent body fat was also related to the swim split (p=0.0036). In male swimmers, length of the arm was related to race time (p=0.0089). In female triathletes and swimmers, none of the investigated anthropometric variables showed an association with race time. We concluded that Ironman triathletes and ultra-swimmers were different regarding anthropometry and that different anthropometric variables were related to race time. We assume that other factors, such as training and equipment, as opposed to anthropometry, may better predict race time in male and female Ironman triathletes.
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Tarsha, Amir. "Anthropometry." Psychoanalytic Perspectives 12, no. 1 (January 2, 2015): 107–9. http://dx.doi.org/10.1080/1551806x.2015.979478.
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Roebuck, John, Kim Smith, and Louis Raggio. "Forecasting Crew Anthropometry for Shuttle and Space Station." Proceedings of the Human Factors Society Annual Meeting 32, no. 2 (October 1988): 35–39. http://dx.doi.org/10.1177/154193128803200206.
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Habitation module and Crew Emergency Rescue Vehicle (CERV) designs for the International Space Station to be built by the United States are expected to accommodate a wide range of persons, according to body dimensions predicted for the year 2000. This prediction was aided by the opportunity, which arose in 1985, to check actual Space Shuttle male crew anthropometry, particularly stature, against predictions made circa 1973 and by recently acquired Japanese data. Revised hypotheses discussed herein have been accepted by an Anthropometry Working Group as the bases for developing anthropometry requirements that appear in the Man-Systems Integration Standard (NASA-STD-3000), published in 1987. Pleas are made for further research in civilian anthropometry and wider use of anthropometric forecasting.
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Jodeh, Diana S., and S. Alex Rottgers. "High-Fidelity Anthropometric Facial Measurements Can Be Obtained From a Single Stereophotograph From the Vectra H1 3-Dimensional Camera." Cleft Palate-Craniofacial Journal 56, no. 9 (April 7, 2019): 1164–70. http://dx.doi.org/10.1177/1055665619839577.
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Background: Anthropometry is a well-established means of measuring facial morphology. Although reliable, direct anthropometry can be time-consuming and not conducive to a busy clinical practice. The Vectra H1 handheld stereophotogrammetric system requires 3 stereophotographs taken from different perspectives to generate a three-dimensional (3D) surface. The time needed to take the 3 stereophotographs can increase the possibility of involuntary movements, precluding its use to assess young patients. To overcome this limitation, we evaluated if accurate linear facial measurements can be obtained from a single stereophotograph and compare these to the measurements taken by direct anthropometry. Methods: Twenty pediatric patients, aged 0 to 10 years, who were undergoing minor surgical procedures at Johns Hopkins All Children’s Hospital were recruited. Fourteen linear facial distances were obtained from each participant using direct anthropometry under general anesthesia. These same distances were measured using Mirror 3D analysis. Intraclass correlation was used to determine intrarater reliability on duplicate 3D images. Results: Correlation coefficients between 3D imaging in frontal view and direct anthropometric measurements were excellent for 13 measures taken, ranging from 0.8 (subnasale to columella and subnasale to stomion superius) to 0.98 (nasion to subnasale and subnasale to labiale superius). Correlation coefficients between submental view and direct anthropometric measurements were excellent for 13 measures as well, ranging from 0.77 (subnasale to columella) to 0.98 (nasion to subnasale). Conclusions: Linear anthropometric measurements taken from 3D surfaces generated from a single stereophotograph correlate closely with direct anthropometric measures. This improves workflow and applicability of anthropometric studies to our youngest patients.
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Murdakai, Tanko, Usman I.U., Sadeeq AA, Ominiyi AA, and Mukthar AI. "Some Anthropometric and Sociodemographic Parameters of School Age Respondents (10-20) Years in Garun Mallam, Kano State, Nigeria." Kanem Journal Medical Sciences 16, no. 1 (June 20, 2022): 39–46. http://dx.doi.org/10.36020/kjms.2022.1601.005.
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ABSTRACT Background: Anthropometric characteristics vary from one ethnic group to another. The study was carried out to assess the anthropometric and sociodemographic characteristics of School-aged children and adolescents (10-20 years of age) in Garun Mallam Local Government Area, Kano State. Methodology: Four hundred subjects made up of 299 males and 101 females were recruited for this research. The anthropometric variables measured were height, weight, body mass index, head and neck circumferences, hand length, hand breadth, foot length, and foot breadth as well as some sociodemographic characteristics. All measurements were taken according to standard protocols. One-way Analysis of variance was used for the comparison of the parametric data among the four groups of independent categories and the Kruskal Wallis test was used for non-parametric data among two groups of independent categories. Pearson correlation was used to test for the correlation of all the measured anthropometry parameters. Data were analyzed using SPSS Version 17 and P<0.05. Results: Sexual dimorphism in the anthropometric variables such as height, weight, hand anthropometry, and foot anthropometry. There was no significant difference observed between the Igbos and Yoruba in both sexes (p>0.05). Hausas were relatively shorter in both sexes and all the measured anthropometry parameters had a strong positive correlation with each other. Conclusion: The study has documented some of the anthropometric parameters of School children and sociodemographic characteristics of the parents of children and adolescents of Garun Mallam Local Government of Kano State which can serve as baseline data.
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Jayaratne, Yasas S. N., and Roger A. Zwahlen. "Application of Digital Anthropometry for Craniofacial Assessment." Craniomaxillofacial Trauma & Reconstruction 7, no. 2 (June 2014): 101–7. http://dx.doi.org/10.1055/s-0034-1371540.
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Craniofacial anthropometry is an objective technique based on a series of measurements and proportions, which facilitate the characterization of phenotypic variation and quantification of dysmorphology. With the introduction of stereophotography, it is possible to acquire a lifelike three-dimensional (3D) image of the face with natural color and texture. Most of the traditional anthropometric landmarks can be identified on these 3D photographs using specialized software. Therefore, it has become possible to compute new digital measurements, which were not feasible with traditional instruments. The term “digital anthropometry” has been used by researchers based on such systems to separate their methods from conventional manual measurements. Anthropometry has been traditionally used as a research tool. With the advent of digital anthropometry, this technique can be employed in several disciplines as a noninvasive tool for quantifying facial morphology. The aim of this review is to provide a broad overview of digital anthropometry and discuss its clinical applications.
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Valleroy, Linda. "Applied Dimensions in Biomedical Anthropology." Practicing Anthropology 8, no. 1-2 (January 1, 1986): 5. http://dx.doi.org/10.17730/praa.8.1-2.w008607885115672.
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Anthropometry, the systematic measurement of human body dimensions and composition using standardized procedures, has long been one of the physical anthropologist's most important methods. Early work in biomedical anthropology used anthropometric variables to test associations among body types, body characteristics, and diseases. Today there is a renewed interest in anthropometry, ratios and equations derived from anthropometric measurements, and longitudinal changes in body measurements, for evaluating health and understanding disease in individuals and populations. The measurement of the human body is once again at the forefront of applied biomedical anthropology.
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Faqih, Febri Abdul, Supriatna Supriatna, Yulingga Nanda Hanief, and Roesdiyanto Roesdiyanto. "Hubungan antara Antropometri dan Biomotor dengan Keterampilan Menggiring dalam Permainan Sepak Bola." COMSERVA Indonesian Jurnal of Community Services and Development 2, no. 12 (April 25, 2023): 2995–3003. http://dx.doi.org/10.59141/comserva.v2i12.706.
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The relationship between anthropometry and biomotor on dribbling skills has been done in many previous studies. These kinds of studies explain that anthropometric and biomotor relationships have a positive influence, especially on dribbling skills in football athletes. However, the results obtained from each study have different results, so it is necessary to analyze data inclusively and exclusively so that the information provided is valid about anthropometric and biomotor relationships on dribbling skills in football games. The purpose of this study was to find out whether there is a relationship between anthropometry and biomotor with dribbling skills in football games. This research used quantitative research with meta-analysis methods by reviewing several articles in national journals that can be accessed online through google scholar. The findings in this study showed a positive influence on the relationship between anthropometry and biomotor in dribbling skills. With a value of 0.546, which indicates that anthropometric and biomotor relationships in dribbling skills are in the high category. The conclusion of this study is that anthropometric and biomotor relationships in dribbling skills have a significant influence on soccer games, especially on dribbling skills.
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Taha, Zahari, Mohd Azri Aris, Zulkifli Ahmad, Mohd Hasnun Arif Hassan, and Nina Nadia Sahim. "A Low Cost 3D Foot Scanner for Custom-Made Sports Shoes." Applied Mechanics and Materials 440 (October 2013): 369–72. http://dx.doi.org/10.4028/www.scientific.net/amm.440.369.
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Conventional methods to obtain foot anthropometry for custom made sports shoes using anthropometer, callipers and measuring tapes are inaccurate due to the complex anatomy and curvature of the instep, foot arc and related joints. They lead to poor repeatability and large variances, particularly when measurements are taken of different people. Measurements from 3D model have been claimed as a perfect tool to obtain anthropometric data. However a commercial 3D foot scanner to create a 3D foot model can be very costly. In this paper we propose a low cost 3D foot scanner system by integrating available image capture technology such as the Kinect®, appropriate 3D scanning software and a foot scanner rig. An experiment was conducted to compare the anthropometry data taken using conventional method and from the 3D model. The differences recorded for all regions were found to be less than 5%, suggesting that the 3D model produced by this method is accurate. The use of 3D scanner has also decreased the measurement duration, thus increasing the repeatability whilst decreasing human errors that normally occur during the measurement process.
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Carvalho, Humberto M., Manuel J. Coelho-e-Silva, Sérgio Franco, António J. Figueiredo, Óscar M. Tavares, Béatrice Ferry, Ilsabeth Hidalgo-Hermanni, Daniel Courteix, and Robert M. Malina. "Agreement between anthropometric and dual-energy X-ray absorptiometry assessments of lower-limb volumes and composition estimates in youth-club rugby athletes." Applied Physiology, Nutrition, and Metabolism 37, no. 3 (June 2012): 463–71. http://dx.doi.org/10.1139/h2012-027.
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The purpose of this study was to assess the agreement of lower-limb volume estimates based on anthropometry and dual-energy X-ray absorptiometry (DXA) as a reference method in male rugby athletes. Predictive models using body mass and skinfolds were tested to improve the relative agreement between protocols (anthropometry, DXA). Rugby players (n = 41; 19.9 ± 2.2 years) volunteered for the study. Lower-limb total and fat-free volumes were estimated by anthropometry and also derived using DXA. Cross-validation between the anthropometry technique and DXA was then performed. Lower-limb volume estimates by anthropometry overestimated reference values and tended to be further from the reference values with the increase of scale. For the total sample, standard errors of measurement for volume estimates by anthropometry were 1.99 L and 1.34 L for total and fat-free volumes, respectively. Correlations with reference values were 0.81 for lower-limb volume and 0.90 for lower-limb fat-free volume. Correlations between estimated prediction equations and reference values showed higher correlations (r = 0.96 for lower-limb volume and r = 0.93 for lower-limb fat-free volume) compared with anthropometric estimates. Overall, the agreement of anthropometry method to quantify lower-limb volumes with DXA as a reference in young adult rugby players is acceptable and is a practical method when more expensive and complex techniques are not available. The consideration of body mass and lower-limb skinfolds increases the precision of lower-limb volume estimates using anthropometry in the young adult rugby players.
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A.H.Hilmi and A.R.A.Hamid. "Current Issues Related to Anthropometry in Engineering." Malaysian Journal of Ergonomics (MJEr) 4 (June 12, 2024): 51–58. http://dx.doi.org/10.58915/mjer.v4.2022.739.
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Anthropos and Metrikos both mean "human" in Greek, which is where the term anthropometry comes from. Anthropometry is employed in a variety of fields, including apparel and textile design. For anthropometric evaluations, a current, thorough, and community-specific anthropometric normative-reference standard is necessary. In health care, ergonomic design is utilised to reduce pain and illness. Misalignments between humans and machines result in pain, accidents, biomechanical stress, tiredness, and musculoskeletal injuries. Designing for the anthropometrics of end users improves long-term viability. The human body comes in a wide range of sizes and shapes. Manual measurement and 3D scanning procedures, on the other hand, are inefficient and expensive, making precise body measurements difficult. This is especially true for head-worn medical devices. Manual measurement and 3D scanning are inefficient and expensive, making precise body measurements difficult. Grip strength and force were determined using hand measurements. Anthropometric parameter estimate is more precise when a 3D model is used to boost pinnae features. While numerous anatomical features have been gathered to aid in the ergonomic design of wearable devices, there is still a lot more work to be done. In three dimensions, the segment masses and torso Centre of Mass (COM) may be calculated. Researchers tracking mobility would benefit greatly from the ability to locate the body COM using a weighted sum of segment masses. Design features such as comfort and usefulness are crucial. Ergonomic characteristics like taller seats with front slopes and saddle chairs encourage good posture, movement, and alternation. In the creation of wearable technologies, using outdated anthropometric reference standards may be insufficient. This review discuses common issues related to anthropometry in engineering which includes the human body, anthropometric parameters, anthropometric measurements, the force plate method, ergonomic design, and body dimension. The goal is to give a broad overview of the subject.
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Kroemer, Karl H. E. "Standardization in Anthropometry and Biomechanics." Proceedings of the Human Factors Society Annual Meeting 30, no. 14 (September 1986): 1405–8. http://dx.doi.org/10.1177/154193128603001414.
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Describing body size (anthropometry) and physical properties of the body (biomechanics) are areas of interest both in research and in application. The human factors engineer needs anthropometric and biomechanical information primarily for designing the operator/equipment interface. Available information is piecemeal, incomplete, and often not compatible since researched and provided in various scientific disciplines. However, even the researcher is hindered by the “scatter” of data, measuring techniques, and research objectives. Hence, an effort to standardize in the areas of anthropometry and biomechanics would, if done properly, help both scientists and engineers.
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Pratama, Fandy Surya, Istianah Muslim, and Muhammad Ihsan Zul. "Digitalization of Human Head Anthropometry Measurement Using Pixels Measurement Method." IJITEE (International Journal of Information Technology and Electrical Engineering) 2, no. 3 (February 20, 2019): 63. http://dx.doi.org/10.22146/ijitee.43698.
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Head Anthropometry is a part of anthropometry that needed to be measured carefully. It is because human head becomes an important part that necessary to be protected. The protection aims to look after the safety of the human head. Safety factors can be achieved by designing head products. Therefore, head anthropometry data is required to make a product design Currently, data retrieval of head anthropometry is still using several measuring devices such as anthropometers, sliding callipers, spreading callipers, and tape gauges. This measurement method makes the standard deviation become higher and also take a lot of time to capture huge amounts of anthropometry data. However, the problem has been resolved by other study research with building a head dimension measurement system using digital camera. But the system still need the integration with digital camera. This study uses the IP Camera that has been integrated with the system to capture human head from the front and side. The captured image is segmented into several areas based on head dimension. Then, the image is processed using pixel measurement method by performing feature extraction on each head dimension to get the result of head dimension measurement. The result shows that calliper measurement and system measurement against ten of fourteen human head anthropometry dimensions is identical with the best distance between IP Camera and the head as far as 200 cm. This head anthropometry data is expected to make a contribution to Indonesian Ergonomics Society.
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Ilias, Noor Fatihah, Siti Soraya Mohd Elias, and Muhammad Alif Zulkifli. "RELATIONSHIP BETWEEN ANTHROPOMETRY AND CARDIORESPIRATORY FITNESS AMONG UiTM FOOTBALL PLAYERS." Malaysian Journal of Sport Science and Recreation 19, no. 2 (September 15, 2023): 226–34. http://dx.doi.org/10.24191/mjssr.v19i2.23998.
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Cardiorespiratory fitness (CRF) is one of the important components among football players. Physiological characteristics of individuals such as anthropometry may influence the level of CRF. Therefore, this study aims to determine the relationship between anthropometry and CRF among UiTM Football Players. A causal- comparative research design, consisting of 24 male participants representing Universiti Teknologi MARA Football Club (UiTM FC) were recruited. Anthropometry was measured via body weight and body height and CRF was measured using a bleep test and the result of the test was calculated to estimate maximum volume of oxygen (VO2 max). Pearson correlation was used to determine the relationship between anthropometry and CRF. Mean score for anthropometry was 65.17 ± 5.90 for body weight (kg) and 171.18 ± 4.66 for body height (cm). Mean score for CRF was 47.20 ± 4.34 (ml/kg/min). Results show a very weak relationship between body weight and CRF (r = 0.027). Meanwhile, there was a positive and weak relationship between body height and CRF (r = 0.265). In conclusion, evidence from this study showed no association between anthropometry and cardiorespiratory fitness. However, possibly a good anthropometry characteristic possibly gives the advantage of having good cardiorespiratory fitness. Ideal body weight and height is a potential physiological characteristic in determinants of cardiorespiratory fitness. Anthropometric does have a role as part of holistic monitoring of talented players in future development. Viewing the limitations of this study, further studies involving larger sample size are needed to find actual association with this hypothesis.
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Kinghorn, Rhonda A., and Alvah C. Bittner. "Truck Driver Anthropometric Data: Estimating the Current Population." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 9 (October 1993): 580–84. http://dx.doi.org/10.1177/154193129303700914.
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This report shows that a challenge facing designers of commercial trucks and other vehicles is a lack of current operator anthropometric data on which to base design decisions. Specifically, it was points out that current data suffer from a number of limitations including secular size changes, ethnic and gender composition shifts, and excessive standard errors (S.E.) of percentiles estimates. These and other limitations point out the need for estimates of contemporary, professional driver anthropometry. This report presents tabulations of comprehensive male and female driver population anthropometry estimates, and outlines a method for applying these anthropometric data to the design of trucks and other vehicles.
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Frisancho, A. Roberto. "Nutritional anthropometry." Journal of the American Dietetic Association 88, no. 5 (May 1988): 553–55. http://dx.doi.org/10.1016/s0002-8223(21)02006-x.
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Dang, Rushil R., Carly E. Calabrese, Hamad M. Burashed, Michael Doyle, Louis Vernacchio, and Cory M. Resnick. "Craniofacial Anthropometry." Journal of Craniofacial Surgery 30, no. 6 (September 2019): e539-e542. http://dx.doi.org/10.1097/scs.0000000000005489.
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KROEMER, KARL H. E. "Engineering anthropometry." Ergonomics 32, no. 7 (July 1989): 767–84. http://dx.doi.org/10.1080/00140138908966841.
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Hodgkinson, P. D. "Craniofacial anthropometry." British Journal of Plastic Surgery 50, no. 8 (December 1997): 672. http://dx.doi.org/10.1016/s0007-1226(97)90528-2.
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KARSLI, Erol, and Ahmet YAĞCI. "Overview of Orthodontics and Anthropometry; Cephalometry-Anthropometry Affinity." Turkiye Klinikleri Journal of Dental Sciences 24, no. 1 (2018): 47–55. http://dx.doi.org/10.5336/dentalsci.2017-55751.
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Siregar, Juliyan Syahputra, Nasuka Nasuka, and Agung Wahyudi. "Analysis of the Contribution of Anthropometry and Physical Conditions to the Spike Ability of the Praporprov Volleyball Team of Semarang City in 2022." JUARA : Jurnal Olahraga 8, no. 1 (January 14, 2023): 246–56. http://dx.doi.org/10.33222/juara.v8i1.2661.
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The purpose of this study is to analyze the contribution of anthropometry and physical condition to the spike ability of the Semarang City Praporprov Volleyball Team in 2022. The research method used is the quantitative method with a descriptive approach. This research uses survey methods and techniques, namely test and measurement techniques. A study sample of 28 athletes. The instruments studied are components of anthropometry (height, weight, arm length, leg length and sitting height) and physical condition components (strength, speed, flexibility, explosiveness, and agility) to spike ability. Research shows that 1) there is a distribution between anthropometry and spikes that is normal, and 2) there is an influence of distribution between physical conditions and regular spikes. 3) there is a positive relationship between anthropometry and spike ability with a strong relationship category 4) there is a positive relationship between physical condition and spike ability with the category of relationships that the relationship is moderate. 5) there is a contribution of influence made by anthropometry and physical condition on the spike ability of the Praporprov volleyball team in Semarang City in 2022. Conclusion There is a relationship between anthropometry and the spike ability of the Semarang City Praporprov volleyball team in 2022. There is an anthropometric contribution to the spike ability of the Semarang City Praporprov volleyball team in 2022. The physical condition contributes to the spike ability of the Praporprov Semarang City volleyball team in 2022. There is a contribution of influence made by anthropometry and physical condition on the spike ability of the Praporprov volleyball team in Semarang City in 2022.
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Yusuf, Asuku A. "Predictability of Metabolic Risk factors from hand and foot anthropometry in Hausa ethnic population of Kano, Nigeria." Nigerian Journal of Physiological Sciences 38, no. 1 (June 30, 2023): 1–6. http://dx.doi.org/10.54548/njps.v38i1.1.
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articular ethnic/racial group. Adiposity measures are employed to screen MRF by clinicians. The ratio of the second to fourth digit of the hand (2D:4D) has been shown to be a tight correlate of MRF. Attempts to predict MRF from hand anthropometry is relatively a new idea. The present study aims to predict MRF from digit and body anthropometry. The study recruited 266 males and 199 females of Hausa origin. Systematic random sampling was employed. Anthropometric measurements and blood pressure were obtained using standard techniques. Regression analysis was used to predict MRF, SPSS version 20 was used for statistical analyses and P < 0.05 was set as level of significance. MRF (serum glucose, total cholesterol, lipoprotein cholesterol, and blood pressure (BP) were predictable from 2D:4D and body anthropometric measures. Waist-to-hip ratio (WHR) was the most consistent MRF predictor. In males, WHR alone predicted TC (R2 = 0.67 and P<0.0001), HDL-C (R2 =0.68 and P <0.0001), LDL-C (R2 = 0.67 and P < 0.001) and diastolic blood pressure (DBP) [R2 =0.43 and P <0.001)]. The right 2D:4D contributed slightly to the prediction of SBP and FBG increasing the R2 value to 0.62from 0.6 for FBG and from 0.6 to 0.64 for SBPKeywords: Body anthropometry, Digit anthropometry, Metabolic risk, Predictability
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Sharma, Neelesh Kumar, Sachin Rana, Pravesh Kushwaha, and Yatika Gori. "Recent Advancements in Contactless Anthropometry." International Journal of Materials Manufacturing and Sustainable Technologies 1, no. 2 (December 30, 2022): 1–9. http://dx.doi.org/10.56896/ijmmst.2022.1.2.007.
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Anthropometry is a widely used tool across scientific disciplines like, clinical nutrition for assessing growth, body composition and anticipating the health risks, and clothing industry for customized designing. The conventional tools such as the calipers and measuring taps are now being replaced by the digital devices. Among digital devices, the latest technology revolves around low cost 3-D optical imaging techniques which finds their application in all domains including clinical, research and even day-today lives. The literature survey here was carried out in SCOPUS and fifteen research articles, meeting the inclusion criteria, were selected for this review. The study indicated the propensity of the USA and image processing technologies in contactless anthropometric measurements. The consistent studies since 1996 and the domination of the application of the anthropometric data in health services and textile industry suggest necessity of this study. This study utilizes the domain of the optical imaging techniques and provide an overview of the potential applications, operational details and validation studies. The contactless anthropometry is rapidly transforming the static and dormant areas of ergonomics with numerous research opportunities and novel applications.
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Toro-Román, Víctor, Francisco J. Grijota, Diego Muñoz, Marcos Maynar-Mariño, Sara Clemente-Gil, and María C. Robles-Gil. "Anthropometry, Body Composition, and Physical Fitness in Semi-Professional Soccer Players: Differences between Sexes and Playing Position." Applied Sciences 13, no. 3 (January 17, 2023): 1249. http://dx.doi.org/10.3390/app13031249.
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Performance in soccer has been associated with specific morphological characteristics. Few studies have simultaneously compared the relationships between physical fitness and body composition in both sexes. This study aimed (i) to analyze the differences in anthropometric parameters, body composition, and physical fitness between sexes and playing position in soccer players and (ii) to determine the relationship among anthropometric and body composition parameters to physical fitness parameters according to sex. A total of 50 soccer players (men: n = 26; women: n = 24), participated in the study. Assessments of nutritional intake, anthropometry, body composition, and physical fitness (isometric strength, maximal aerobic capacity, and vertical jump) were carried out. Differences between sexes were observed in all anthropometric and body composition parameters (p < 0.001). There were differences between midfielders and forwards in fat percentage (p < 0.05). Regarding physical condition, differences were found between sexes in all tests performed (p < 0.001). In men soccer players, there were significant correlations between body composition and aerobic capacity (p < 0.05), while in women soccer players, there were correlations with isometric strength tests (p < 0.05). Anthropometry, body composition, and physical fitness differed between sexes. Fat percentages were different among playing positions. There were relationships between anthropometry and body composition with physical fitness. Knowledge of anthropometric and fitness characteristics by playing position and gender in soccer players could help develop specific training programs.
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Weinberg, Seth M., Nicole M. Scott, Katherine Neiswanger, Carla A. Brandon, and Mary L. Marazita. "Digital Three-Dimensional Photogrammetry: Evaluation of Anthropometric Precision and Accuracy Using a Genex 3D Camera System." Cleft Palate-Craniofacial Journal 41, no. 5 (September 2004): 507–18. http://dx.doi.org/10.1597/03-066.1.
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Objective To determine the precision and accuracy of facial anthropometric measurements obtained through digital three-dimensional (3D) photogrammetry. Design Nineteen standard craniofacial measurements were repeatedly obtained on 20 subjects by two independent observers, using calipers and 3D photos (obtained with a Genex 3D camera system), both with and without facial landmarks labeled. Four different precision estimates were then calculated and compared statistically across techniques. In addition, mean measurements from 3D photos were compared statistically with those from direct anthropometry. Results In terms of measurement precision, the 3D photos were clearly better than direct anthropometry. In almost all cases, the 3D photo with landmarks labeled had the highest overall precision. In addition, labeling landmarks prior to taking measurements improved precision, regardless of method. Good congruence was observed between means derived from the 3D photos and direct anthropometry. Statistically significant differences were noted for seven measurements; however, the magnitude of these differences was often clinically insignificant (< 2 mm). Conclusions Digital 3D photogrammetry with the Genex camera system is sufficiently precise and accurate for the anthropometric needs of most medical and craniofacial research designs.
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Campa, Francesco, Catarina N. Matias, Tatiana Moro, Giuseppe Cerullo, Andrea Casolo, Filipe J. Teixeira, and Antonio Paoli. "Methods over Materials: The Need for Sport-Specific Equations to Accurately Predict Fat Mass Using Bioimpedance Analysis or Anthropometry." Nutrients 15, no. 2 (January 5, 2023): 278. http://dx.doi.org/10.3390/nu15020278.
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Bioelectrical impedance analysis (BIA) and anthropometry are considered alternatives to well-established reference techniques for assessing body composition. In team sports, the percentage of fat mass (FM%) is one of the most informative parameters, and a wide range of predictive equations allow for its estimation through both BIA and anthropometry. Although it is not clear which of these two techniques is more accurate for estimating FM%, the choice of the predictive equation could be a determining factor. The present study aimed to examine the validity of BIA and anthropometry in estimating FM% with different predictive equations, using dual X-ray absorptiometry (DXA) as a reference, in a group of futsal players. A total of 67 high-level male futsal players (age 23.7 ± 5.4 years) underwent BIA, anthropometric measurements, and DXA scanning. Four generalized, four athletic, and two sport-specific predictive equations were used for estimating FM% from raw bioelectric and anthropometric parameters. DXA-derived FM% was used as a reference. BIA-based generalized equations overestimated FM% (ranging from 1.13 to 2.69%, p < 0.05), whereas anthropometry-based generalized equations underestimated FM% in the futsal players (ranging from −1.72 to −2.04%, p < 0.05). Compared to DXA, no mean bias (p > 0.05) was observed using the athletic and sport-specific equations. Sport-specific equations allowed for more accurate and precise FM% estimations than did athletic predictive equations, with no trend (ranging from r = −0.217 to 0.235, p > 0.05). Regardless of the instrument, the choice of the equation determines the validity in FM% prediction. In conclusion, BIA and anthropometry can be used interchangeably, allowing for valid FM% estimations, provided that athletic and sport-specific equations are applied.
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Lahange, Sandeep. "Pramana Sharir: An Ancient Method of Measurement of Body Constituents and its Utility in Various Fields of Ayurveda." Journal of Natural & Ayurvedic Medicine 3, no. 4 (October 14, 2019): 1–7. http://dx.doi.org/10.23880/jonam-16000210.
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Anthropometry is systemic, quantitative representation of human body. Anthropometry is a Latin word. Anthropos means human and metry means measurement. Anthropometry is the study of the measurement of the human body in terms of the dimensions of bone, muscle, and adipose (fat) tissue. Anthropometry was first used in 19th and early 20th century in criminalities to identify criminals. Now it has wide application in the field of medicine, space programming and archeology. Anthropometry plays an important role in industrial design, clothing, design, ergonomics and architecture where statistical data about the distribution of body dimensions in the population are used to optimize products. Changes in life styles, nutrition and ethnic composition of populations lead to changes in the distribution of body dimensions (e.g. the obesity epidemic), and require regular updating of anthropometric data collections. In ancient Anthropometry the overall measurements were done in Swa-Angula Pramana. Our Seers explained the concept of Swa-Angula Pramana. It can be ideal parameter irrespective of sex, race and place. The growth of the body varies indifferent ages and gets ceased after a particular stage, though the average measurement of the body is fixed by random study, the variation of measurement in growing age may take place. If we see the development of modern Anthropometry it helps in various fields of Science, Art and Business, but the concepts of Ayurveda are unique as on the basis of these Pramana one can know not only about the prognosis diagnosis of diseases but also about the longevity of an individual. So it is necessary to explore the concept of Anthropometry practiced in ancient era as Pramana Sharir and its utility in clinical, Para clinical and surgical fields.
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Phadke, M., R. Nair, P. Menon, and V. Singal. "Evolution of Anthropometry in Malnutrition." International Journal of Nutrition 4, no. 4 (January 1, 2020): 25–35. http://dx.doi.org/10.14302/issn.2379-7835.ijn-19-3111.
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The present paper describes the significance of anthropometric measurements in detecting nutritional status of individuals, specially children. It highlights evolution of anthropometry, discusses importance of various measurements & their role in determining undernutrition & obesity. There is a need to have one measurement to detect obesity & undernutrition both. An ideal such measure is yet to be established.
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Ulijaszek, Stanley J., and Deborah A. Kerr. "Anthropometric measurement error and the assessment of nutritional status." British Journal of Nutrition 82, no. 3 (September 1999): 165–77. http://dx.doi.org/10.1017/s0007114599001348.
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Anthropometry involves the external measurement of morphological traits of human beings. It has a widespread and important place in nutritional assessment, and while the literature on anthropometric measurement and its interpretation is enormous, the extent to which measurement error can influence both measurement and interpretation of nutritional status is little considered. In this article, different types of anthropometric measurement error are reviewed, ways of estimating measurement error are critically evaluated, guidelines for acceptable error presented, and ways in which measures of error can be used to improve the interpretation of anthropometric nutritional status discussed. Possible errors are of two sorts; those that are associated with: (1) repeated measures giving the same value (unreliability, imprecision, undependability); and (2) measurements departing from true values (inaccuracy, bias). Imprecision is due largely to observer error, and is the most commonly used measure of anthropometric measurement error. This can be estimated by carrying out repeated anthropometric measures on the same subjects and calculating one or more of the following: technical error of measurement (TEM); percentage TEM, coefficient of reliability (R), and intraclass correlation coefficient. The first three of these measures are mathematically interrelated. Targets for training in anthropometry are at present far from perfect, and further work is needed in developing appropriate protocols for nutritional anthropometry training. Acceptable levels of measurement error are difficult to ascertain because TEM is age dependent, and the value is also related to the anthropometric characteristics of the group or population under investigation. R > 0·95 should be sought where possible, and reference values of maximum acceptable TEM at set levels of R using published data from the combined National Health and Nutrition Examination Surveys I and II (Frisancho, 1990) are given. There is a clear hierarchy in the precision of different nutritional anthropometric measures, with weight and height being most precise. Waist and hip circumference show strong between-observer differences, and should, where possible, be carried out by one observer. Skinfolds can be associated with such large measurement error that interpretation is problematic. Ways are described in which measurement error can be used to assess the probability that differences in anthropometric measures across time within individuals are due to factors other than imprecision. Anthropometry is an important tool for nutritional assessment, and the techniques reported here should allow increased precision of measurement, and improved interpretation of anthropometric data.
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Wong, Julielynn Y., Albert K. Oh, Eiichi Ohta, Anne T. Hunt, Gary F. Rogers, John B. Mulliken, and Curtis K. Deutsch. "Validity and Reliability of Craniofacial Anthropometric Measurement of 3D Digital Photogrammetric Images." Cleft Palate-Craniofacial Journal 45, no. 3 (May 2008): 232–39. http://dx.doi.org/10.1597/06-175.
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Background: Direct anthropometry performed during a patient examination is the standard technique for quantifying craniofacial dysmorphology, as well as for surgical planning and outcome assessment. Several new technologies have been designed to computerize anthropometric measurements, including three-dimensional (3D) digital photogrammetry. These digital systems have the advantage of acquiring patient craniofacial surface images quickly and noninvasively. Before morphometry using digital photogrammetry can be applied in clinical and research practice, it must be assessed against direct anthropometry. Objective: To evaluate the validity and reliability of facial anthropometric linear distances imaged by 3D digital photogrammetry with respect to direct anthropometry. Design, Setting, Participants, Measures: Standard craniofacial distances were directly measured twice on 20 normal adult volunteers. Craniofacial surfaces were also imaged using the 3dMDface digital photogrammetry system, and distances were digitally measured twice for each subject. Validity measures of accuracy and bias (for direct versus digital measurements) and reproducibility measures of precision and test-retest reliability (for repeated sets of digital measurements) were computed. Results: Seventeen of the 18 direct measurements correlated highly with digital values (mean r = 0.88). The correlation for one measurement (upper prolabial width) was not statistically significant. The overall precision of all 17 digital measurements was less than 1 mm, and the reliability was high (mean r = 0.91). Conclusions: Craniofacial anthropometry using the 3dMDface System is valid and reliable. Digital measurements of upper prolabial width may require direct marking, prior to imaging, to improve landmark identification.
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Gaskin, Pamela S., Peter Chami, Tamara Nancoo, Patricia Warner, Patrick Barrett, and Yvette Mayers. "Electronic based reported anthropometry—A useful tool for interim monitoring of obesity prevalence in developing states." PLOS ONE 15, no. 12 (December 7, 2020): e0243202. http://dx.doi.org/10.1371/journal.pone.0243202.
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Background Wide participation in electronic surveys and reliable reporting of anthropometry can serve to reduce costs associated with monitoring of obesity among adolescents where resources are limited. We conducted a single school pilot study among Caribbean adolescents to assess use of electronic surveys and whether face to face encouragement could promote enrollment. In addition, we assessed students’ ability to reliably report simple anthropometry. Methods Students were provided with access to an electronic survey on anthropometry and food preferences regarding school-based food offerings. Responses to survey questions were presented as percentages. A sample of students also had their heights and weights measured after reporting these measures from memory. Intra-class correlation coefficients were used to assess reliability among measurers and Bland-Altman plots, consistency between student reported and recorded anthropometric measures and Support Vector Machine to assess robustness of anthropometry prediction models. Results Response rate to the electronic survey was low (9%). Students were able to interpret questions; open-ended options were inappropriately used 13% of the time. Post survey qualitative responses indicated displeasure with use of school-associated e-mail addresses. Concerns with confidentiality were expressed as well as preference for completion of surveys during school time. Students reliably reported anthropometry most measures fell within the 95% CI of Bland-Altman plots. SVM classified with a prediction accuracy of 95%. Estimates of overweight from recorded and reported measures were similar. Conclusions Adolescents are able to report simple anthropometry, and this can be used to help with monitoring of growth and overweight. Although they are capable of competently completing electronic surveys, school-based email is an ineffective contact tool. In-person school-based contact and administration of surveys are preferred. Adolescents can reliably report simple anthropometry that can be utilized for estimation of overweight/obesity prevalence. This method can be widely applied.
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Sesbreno, Erik, Gary Slater, Margo Mountjoy, and Stuart D. R. Galloway. "Development of an Anthropometric Prediction Model for Fat-Free Mass and Muscle Mass in Elite Athletes." International Journal of Sport Nutrition and Exercise Metabolism 30, no. 2 (March 1, 2020): 174–81. http://dx.doi.org/10.1123/ijsnem.2019-0232.
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The monitoring of body composition is common in sports given the association with performance. Surface anthropometry is often preferred when monitoring changes for its convenience, practicality, and portability. However, anthropometry does not provide valid estimates of absolute lean tissue in elite athletes. The aim of this investigation was to develop anthropometric models for estimating fat-free mass (FFM) and skeletal muscle mass (SMM) using an accepted reference physique assessment technique. Sixty-four athletes across 18 sports underwent surface anthropometry and dual-energy X-ray absorptiometry (DXA) assessment. Anthropometric models for estimating FFM and SMM were developed using forward selection multiple linear regression analysis and contrasted against previously developed equations. Most anthropometric models under review performed poorly compared with DXA. However, models derived from athletic populations such as the Withers equation demonstrated a stronger correlation with DXA estimates of FFM (r = .98). Equations that incorporated skinfolds with limb girths were more effective at explaining the variance in DXA estimates of lean tissue (Sesbreno FFM [R2 = .94] and Lee SMM [R2 = .94] models). The Sesbreno equation could be useful for estimating absolute indices of lean tissue across a range of physiques if an accepted option like DXA is inaccessible. Future work should explore the validity of the Sesbreno model across a broader range of physiques common to athletic populations.
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Acar, B. S., and A. M. Weekes. "Design guidelines for pregnant occupant safety." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 219, no. 7 (July 1, 2005): 857–67. http://dx.doi.org/10.1243/095440705x28402.
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During pregnancy a woman's body undergoes a considerable change in size and shape, and this can impact upon her safety during car travel. The two main issues are proper seat belt use and positioning, and steering wheel clearance. A comprehensive analysis of the questionnaire responses by pregnant women and anthropometric measurements demonstrates that the difficulties experienced can be explained by the physical changes and interactions throughout the body during gestation. Analysis of the anthropometry of pregnant women highlights that many pregnant users could easily be excluded from designs inadvertently if the design is based on males or non-pregnant females. Thus incorporation of pregnant women's anthropometry into automotive design could reduce the exclusion rates and alleviate problems. This paper presents guidelines for the automotive industry generated from experiences and anthropometry of pregnant women, with the aim of improving safety for pregnant car occupants.
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Ganga, A. M., and M. I. Usman. "Relationship between somatotype and cephalofacial anthropometry among adolescents of Ngamo ethnic group of Fika Local Government Area of Yobe State, Nigeria." Journal of Experimental and Clinical Anatomy 21, no. 1 (July 7, 2024): 72–77. http://dx.doi.org/10.4314/jeca.v21i1.11.
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BACKGROUND AND AIM: Cephalofacial anthropometry is very important in surgery and syndromology. The aim of the study was to investigate the relationship between cephalofacial anthropometry and somatotype among adolescents of Ngamo lineage in Fika Local Government Area of Yobe State. METHODOLOGY: The sample size for the study was 391 subjects comprising male (196) and female (195) subjects with mean age 15.46 ± 1.82 from selected secondary schools in Fika Local Government. The design was cross sectional and participants were classified into three basic somatotypes; endomorph, mesomorph and ectomorph. Cephalic, facial and nasal anthropometric variables were measured using standard protocol. Spearman’s correlation was used to determine the relationship between somatotype and cephalofacial anthropometry, stepwise logistic regression analysis was deployed to predict somatotype components from cephalofacial parameters. RESULTS: Significant sexual dimorphism was found in somatotype components and cephalofacial anthropometry. A significant correlation was found between some cephalofacial measurements and somatotype components, somatotype components were significantly predicted from cephalofacial parameters and facial breadth was the best predictor. CONCLUSION: A relationship was found between somatotype and cephalofacial parameters among adolescents of Ngamo tribe of Fika LGA, Yobe state, Nigeria.
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Reeves, Maureen L. "Anthropometry in the Royal Navy." Journal of The Royal Naval Medical Service 72, no. 3 (December 1986): 143–48. http://dx.doi.org/10.1136/jrnms-72-143.
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AbstractThe increase in technology has resulted in greater demands being placed on machine operators. In order to promote greater efficiency and economy it is important to ensure the user and the equipment are well matched. Staff at the Institute of Naval Medicine are beginning a major anthropometric survey of Royal Navy personnel. This article introduces the reader to some relevant concepts of anthropometry and to the methods to be adopted during the survey.
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Robinette, Kathleen M. "3-D Fit Mapping." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 38 (July 2000): 735–38. http://dx.doi.org/10.1177/154193120004403813.
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One of the biggest advantages of 3-D surface anthropometry is the ability to capture the 3-D interface between the person and the equipment they wear or use. When combined with fit performance information this permits measurement and visualization of the geometry of fit for individuals. It dramatically improves our understanding of fit, and our ability to create accurate fit maps in multi-dimensional anthropometric spaces. This paper will attempt to demonstrate with real examples, that capturing and mapping fit is essential to effective engineering, and that 3-D surface anthropometry dramatically improves our fit mapping capability.
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Hoekstra, Pyter N. "Predicting Centre-Dependent Spatial Density Functions of 3D Surface Anthropometry Data." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 38 (July 2000): 778–81. http://dx.doi.org/10.1177/154193120004403825.
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A new, valuable but vast dataset will become available to the scientific and general public: the results of the CAESAR project (Civilian American and European Surface Anthropometry Resource). The concept of centre-dependent spatial density functions was introduced earlier to realise a major reduction in surface anthropometry scan data. Here the basic mathematics are described of centre-dependent vector shifts needed to arrive at these spatial density functions. Since as yet no real 3D scan data are available to us the concepts are tested with a Monte Carlo generation of ninetytwo models with a reasonable variation in eight anthropometric variables and discussed.
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Bonilla, Diego A. "Artificial Intelligence Applications in Digital Anthropometry <sup><a class="tippyShow" data-tippy-arrow="true"data-tippy-content="Presented as a keynote at the 'I Congreso Iberoamericano de Antropometría Aplicada' organized by the 'Red Iberoamericana de Investigadores en Antropometría Aplicada'." data-tippy-interactive="true"data-tippy-theme="light-border"style="cursor:pointer">1</a></sup>." OBM Integrative and Complementary Medicine 07, no. 04 (December 26, 2022): 1–4. http://dx.doi.org/10.21926/obm.icm.2204056.
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Anthropometric measurements are frequently used to assess changes in body composition in different populations. Despite being a cheap, in-field, and relatively valid technique, the COVID-19 pandemic has impulse research on digital anthropometry across the globe. Machine learning, as the convergence of artificial intelligence and data mining, has the potential to improve data collection and analysis in the applications of kinanthropometry. Far from replacing conventional methods, digital anthropometry is a powerful opportunity to increase accuracy, validity, practicality, and the use of self-monitoring procedures under professional supervision. However, further research and scientific literacy among practitioners are warranted.
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Fasitasari, Minidian, Suparmi Suparmi, and Fadzil Latifah. "Pengukuran Antropometri dan Komposisi Tubuh pada Masyarakat di Perumahan Sembungharjo Permai Semarang." Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) 7, no. 4 (April 1, 2024): 1775–86. http://dx.doi.org/10.33024/jkpm.v7i4.13968.
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ABSTRAK Kegiatan ini berawal dari permasalahan yang dialami masyarakat di Perumahan Sembungharjo Semarang yang (1) sebagian di antara mereka merasakan kegemukan di usia yang semakin bertambah, (2) ketidaktahuan masyarakat tentang pentingnya pengukuran antropometri dan komposisi tubuh, dan (3) kurangnya ketrampilan masyarakat dalam menjaga kesehatan dengan memonitor antopometri tubuhnya masing-masing. Tujuan: (1) meningkatkan pengetahuan masyarakat tentang pentingnya pengukuran antopometri dan komposisi tubuh, (2) meningkatkan ketrampilan masyarakat dalam memonitor antropometri tubuhnya masing-masing, dan (3) meningkatkan self-efficacy masyarakat untuk memperbaiki status gizinya dengan self-monitoring antropometri. Kegiatan yang dilakukan antara lain: (1) Pengukuran antropometri tubuh, (2) Sosialisasi tentang penentuan status gizi menggunakan data antropometri, (3) Pengukuran komposisi tubuh, (4) Penyukuhan tentang pentingnya pengukuran antropometri dan komposisi tubuh dikaitkan dengan risiko penyakit, (5) Pelatihan melakukan pengukuran lingkar perut, dan (6) Diskusi dan konsultasi tentang kesehatan dan obat. Terdapat 70 orang berusia 15 – 74 tahun yang berpartisipasi pada kegiatan ini, namun hanya 53 orang yang mengembalikan kuesioner untuk menilai tingat pengetahuan tentang pengukuran antopometri dan komposisi tubuh. Sebagian besar (>60%) dapat menjawab pertanyaan dengan benar. Hasil antropometi didapatkan rerata IMT 26,1 ± 4,0 kg/m2 dan lebih dari 60% obesitas dengan massa lemak yang lebih tinggi dari normal. Pengetahuan masyarakat tentang antropometri dan komposisi tubuh cukup baik. Status gizi masyarakat sebagian besar obesitas dan obesits sentral dengan massa lemak tergolong sangat tinggi. Kata Kunci: Antropometri, Status Gizi, Komposisi Tubuh, Massa Lemak ABSTRACT This activities began with the problems experienced by the community in the Sembungharjo Housing Complex, Semarang, e.g. (1) some of them felt obese as they got older, (2) the public's ignorance about the importance of anthropometric and body composition measurements , and (3) lack of community skills in maintaining health by monitoring the anthropometry of their respective bodies. (1) increase community knowledge about the importance of anthropometric measurements and body composition, (2) increase community skills in monitoring the anthropometry of their own bodies, and (3) increase community self-efficacy to improve their nutritional status by self-monitoring anthropometry. Activities carried out include: (1) Anthropometric body measurements, (2) Socialization about determining nutritional status using anthropometric data, (3) Body composition measurements, (4) Education about the importance of anthropometric measurements and body composition in relation to disease risk, (5) Training in measuring abdominal circumference, and (6) Discussion and consultation about health and medicine. There were 70 people aged 15 – 74 years who participated in this activity, but only 53 people returned questionnaires to assess their level of knowledge about anthropometric measurements and body composition. Most (>60%) were able to answer the questions correctly. Anthropometric results showed a mean BMI of 26.1 ± 4.0 kg/m2 and more than 60% obesity with a fat mass higher than normal. The knowledge about anthropometry and body composition was quite good. The nutritional status of the majority of people was obese and central obese with very high fat body mass. Keywords: Anthropometry, Nutritional Status, Body Composition, Fat Mass
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Nurwati, Yuni, Hardinsyah Hardinsyah, Sri Anna Marliyati, Budi Iman Santoso, and Dewi Anggraini. "Effects of Maternal Anthropometry on Infant Anthropometry: A Cross-sectional Study at Public Hospital X in Ternate, Indonesia." Kesmas: Jurnal Kesehatan Masyarakat Nasional 19, no. 1 (February 29, 2024): 59. http://dx.doi.org/10.21109/kesmas.v19i1.7336.
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Infant anthropometry is an indicator of neonatal survival. This study aimed to determine the effects of maternal anthropometry on estimating infant anthropometry. This cross-sectional study on 173 pregnant women at Public Hospital X in Ternate, Indonesia, was conducted from August 2018 to March 2023. The eligible criteria were pregnant women aged ≥18 years, single pregnancy, and antenatal care (ANC) visits to the same hospital. The variables used included maternal anthropometric measurements (body weight, body height, third-trimester weight (TTW)), gestational weight gain (GWG), education, age, ANC visits, and gestational age at delivery (GAD). A logistic regression model was employed to estimate significant variables related to infant anthropometric measurements (birth weight, birth length, and head circumference). The results showed that TTW, GWG, ANC, and GAD had significantly affected birth weight. Bodyweight, height, and TTW also significantly affected birth length. In addition, only GAD significantly affected the head circumference. In multivariate analysis, TTW and GWG significantly affected birth weight. Furthermore, only body height and GAD affected the birth length. Maternal anthropometrics become important indicators for estimating birth weight and birth length.
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Korff, Thomas, and Jody L. Jensen. "Effect of Relative Changes in Anthropometry during Childhood on Muscular Power Production in Pedaling: A Biomechanical Simulation." Pediatric Exercise Science 20, no. 3 (August 2008): 292–304. http://dx.doi.org/10.1123/pes.20.3.292.
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When performing skillful movement muscular and nonmuscular forces act in concert to produce a resultant force that complies with the goal of the task. Nonmuscular forces are directly dependent on the anthropometry of the performer. The purpose of this study was to determine the effect of age-related changes in relative anthropometric characteristics between 5 and 10 years of age on muscular power production during pedaling. A secondary purpose was to determine the dependence of this effect on movement speed. A torque-driven model of two-legged pedaling was used to track experimental kinematics and forces obtained from 6 experienced adult cyclists pedaling at 60 and 120 rpm. Relative anthropometric characteristics were modified to simulate pedaling for children of 5, 7.5, and 10 years of age. Analyses of variance revealed that age-related differences in anthropometry did not affect the muscular contribution to crank power (p > .05), while they had a significant effect on the muscular contribution to limb power (p < .05). Adjustments by the proximal muscle groups (muscles spanning the hip and knee joints) were necessary to account for anthropometry-driven changes in nonmuscular power. These effects were independent of movement speed. Our results provide researchers with useful information to interpret age-related differences in muscular power production more accurately.
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Ginés, Honorato J., Florentino Huertas, Tomás García Calvo, Jose Carlos Ponce-Bordón, António J. Figueiredo, and Rafael Ballester. "Age and Maturation Matter in Youth Elite Soccer, but Depending on Competitive Level and Gender." International Journal of Environmental Research and Public Health 20, no. 3 (January 21, 2023): 2015. http://dx.doi.org/10.3390/ijerph20032015.
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This study aimed to explore the relevance of the relative age effect (RAE), maturity status and anthropometry, and their influence on coaches’ assessment of players’ performance, analyzing both genders and different types of academies (elite vs. non-elite). The sample included 603 soccer players (385 male), from the under 12 (U12), under 14 (U14) and under 16 (U16) categories, belonging to elite and nonelite teams. Coaches’ assessment of players´ performance, chronological age, anthropometric characteristics, maturity offset (MO) and peak height velocity (PHV) were registered. Our results showed that RAE was present in both genders within the elite, but not in the nonelite academies. Early maturity players were overrepresented in the male elite, but not in the female academies. No relationship was found between RAE and anthropometry in male elite academies. Male elite players showed better anthropometric characteristics than nonelite players, while this pattern of results was not found for female players. The coaches´ assessment on players´ current performance was not influenced by the chronological age nor anthropometry, but it was linked to the PHV. Coaches from nonelite academies rated better in current assessment of performance the taller players. Our findings suggest that maturity status and RAE play an independent and important role in the talent selection process.
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Zhenbiao, Zhang. "Modernization Requires Anthropometry." Chinese Sociology & Anthropology 21, no. 1 (October 1988): 15–21. http://dx.doi.org/10.2753/csa0009-4625210115.
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BUCKLE, P. W. "Self-reported anthropometry." Ergonomics 28, no. 11 (November 1985): 1575–77. http://dx.doi.org/10.1080/00140138508963289.
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Štefánková, Eva, František Horn, Eva Neščáková, Michal Kabát, Michal Petrík, and Ján Trnka. "Anthropometry of craniosynostosis." Neurologia i Neurochirurgia Polska 49, no. 4 (July 2015): 229–38. http://dx.doi.org/10.1016/j.pjnns.2015.05.006.
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Lakshminarayana, Prema, K. Janardhan, and Hemalatha S. David. "Anthropometry for syndromology." Indian Journal of Pediatrics 58, no. 2 (March 1991): 253–58. http://dx.doi.org/10.1007/bf02751131.
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Moczynski, Allison N., Charles A. Weisenbach, and James S. McGhee. "Retrospective Assessment of U.S. Army Aviator Anthropometric Screening Process." Aerospace Medicine and Human Performance 91, no. 9 (September 1, 2020): 725–31. http://dx.doi.org/10.3357/amhp.5462.2020.
Full textAbstract:
INTRODUCTION: The current U.S. Army aviator anthropometric screening process for rotary-wing cockpit compatibility was codified over 30 yr ago. Critical to the process are the anthropometric standards that define what is acceptable for U.S. Army flight school applicants. The purpose of this study was to assess and optimize the efficiency of the standards in screening for anthropometric cockpit compatibility while maintaining safety.METHODS: A retrospective analysis was performed. Anthropometry and disposition data of flight school applicants from 2005 to 2014 were taken from the Aeromedical Electronic Resource Office database to determine efficiency of the process. Data on mishaps from 1972 to 2017 were retrieved from the Risk Management Information System database to determine the safety benchmark of the existing process, to which adjusted standards would be held. Adjustments to standards were modeled that would more efficiently pass applicants over the period studied without exceeding the established acceptable safety level.RESULTS: There were 40,136 (98.28%) applicants who passed the standards, while 702 (1.72%) failed. Most (98.52%) applicants who failed the standards and applied for an anthropometry exception to policy (ETP) received one. The models would pass up to 396 (99.25%) applicants who received ETPs without exceeding the established number of mishaps attributable to the anthropometry standards, which was found to be zero.DISCUSSION: The screening process is efficient and effective, but could be improved. Adjusting the standards could increase process efficiency by passing more applicants during their flight physical and widening the applicant pool, while maintaining the current level of safety.Moczynski AN, Weisenbach CA, McGhee JS. Retrospective assessment of U.S. Army aviator anthropometric screening process. Aerosp Med Hum Perform. 2020; 91(9):725731.