Relevant bibliographies by topics / Anthropometric measures

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Anthropometric measures'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 March 2023

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Journal articles on the topic "Anthropometric measures"

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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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Shurtleff, David B., William Otis Walker, Sharon Duguay, Do Peterson, and Diana Cardenas. "Obesity and Myelomeningocele: Anthropometric Measures." Journal of Spinal Cord Medicine 33, no. 4 (January 2010): 410–19. http://dx.doi.org/10.1080/10790268.2010.11689720.

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Landi, Francesco, Rosa Liperoti, and Graziano Onder. "The usefulness of anthropometric measures." European Journal of Nutrition 52, no. 6 (July 2, 2013): 1683. http://dx.doi.org/10.1007/s00394-013-0550-6.

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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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Giudicelli, Bruno B., Leonardo G. O. Luz, Mustafa Sogut, Hugo Sarmento, Alain G. Massart, Arnaldo C. Júnior, Adam Field, and António J. Figueiredo. "Chronological Age, Somatic Maturation and Anthropometric Measures: Association with Physical Performance of Young Male Judo Athletes." International Journal of Environmental Research and Public Health 18, no. 12 (June 13, 2021): 6410. http://dx.doi.org/10.3390/ijerph18126410.

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Sport for children and adolescents must consider growth and maturation to ensure suitable training and competition, and anthropometric variables could be used as bio-banding strategies in youth sport. This investigation aimed to analyze the association between chronological age, biologic maturation, and anthropometric characteristics to explain physical performance of young judo athletes. Sixty-seven judokas (11.0–14.7 years) were assessed for anthropometric and physical performance. Predicted adult stature was used as a somatic maturation indicator. A Pearson’s bivariate correlation was performed to define which anthropometric variables were associated with each physical test. A multiple linear hierarchical regression was conducted to verify the effects of age, maturity, and anthropometry on physical performance. The regression models were built with age, predicted adult stature, and the three most significantly correlated anthropometric variables for each physical test. Older judokas performed better in most of the physical tests. However, maturation attenuated the age effect in most variables and significantly affected upper body and handgrip strength. Anthropometric variables attenuated age and maturity and those associated with body composition significantly affected the performance in most tests, suggesting a potential as bio-banding strategies. Future studies should investigate the role of anthropometric variables on the maturity effect in young judokas.
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Abrahams, Zulfa, Gary Maartens, Naomi Levitt, and Joel Dave. "Anthropometric definitions for antiretroviral-associated lipodystrophy derived from a longitudinal South African cohort with serial dual-energy X-ray absorptiometry measurements." International Journal of STD & AIDS 29, no. 12 (June 26, 2018): 1194–203. http://dx.doi.org/10.1177/0956462418778649.

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The development of lipodystrophy is associated with the long-term use of antiretroviral therapy (ART). We assessed agreement between patient-reported lipodystrophy and body composition measures using dual-energy X-ray absorptiometry (DXA) and developed objective measures to define lipoatrophy and lipohypertrophy in black South Africans. One hundred and eighty-seven ART-naïve HIV-infected adults were enrolled in a 24-month longitudinal study. Self-reported information on regional fat loss and fat gain, anthropometry, and DXA measures were collected at baseline, three, six, 12, 18, and 24 months after starting ART. Receiver operating characteristic curves were used to describe the performance of anthropometric variables using change in limb and trunk fat measured by DXA, as the reference standard. The proportion of men and women who developed lipoatrophy and lipohypertrophy increased over the 24-month period, with lipoatrophy occurring more frequently in men (21% versus 10%). In women, lipoatrophy was best determined by thigh skinfold thickness (80.3% correctly classified) and mid-arm circumference (77.6% correctly classified). None of the anthropometric measures performed well for defining lipoatrophy in men. Anthropometric measures performed well for defining lipoatrophy in women, but not lipohypertrophy.
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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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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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Satır, Benhür, and Filiz Çelikçi Erdoğan. "Comparison of classroom furniture to anthropometric measures of Turkish middle school students." Work 70, no. 2 (October 26, 2021): 493–508. http://dx.doi.org/10.3233/wor-213587.

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BACKGROUND: The match between classroom furniture and students’ anthropometry is an important factor in students’ academic performance. OBJECTIVE: Our aim was to investigate the ergonomic suitability of the classroom furniture to the students, and to propose design suggestions for both desks and chairs. METHODS: We analyzed the ergonomics of classroom furniture that students aged 10–14 years old in Turkey currently use. To this end, we selected Maltepe Primary Education School, one of the largest schools in the Çankaya district of Turkey’s capital city, Ankara, in which to conduct the study. A sample of 119 students was selected, and seven anthropometric measurements were taken for each of these students. We then calculated five relationships between the dimensions of the furniture and the students’ anthropometric measures. RESULTS: We observed high levels of mismatch rates, with an average of 66.6%and high values of over 95%for the relations of two furniture measures, seat depth (related with buttock-popliteal length) and seat-to-desk height (related with elbow height, sitting). Each anthropometric measure was applied a fit probability distribution, and based on those distributions; we suggested the most appropriate classroom furniture dimensions in order to maximize suitability of the furniture to the anthropometric measures in terms of fixed-size (i.e., non-adjustable) classroom furniture. CONCLUSIONS: High mismatch rates can be reduced by 52.0%on average based on the classroom furniture dimensions suggested in this study.
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Garimella, Raman, Thomas Peeters, Eduardo Parrilla, Jordi Uriel, Seppe Sels, Toon Huysmans, and Stijn Verwulgen. "Estimating Cycling Aerodynamic Performance Using Anthropometric Measures." Applied Sciences 10, no. 23 (December 2, 2020): 8635. http://dx.doi.org/10.3390/app10238635.

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Aerodynamic drag force and projected frontal area (A) are commonly used indicators of aerodynamic cycling efficiency. This study investigated the accuracy of estimating these quantities using easy-to-acquire anthropometric and pose measures. In the first part, computational fluid dynamics (CFD) drag force calculations and A (m2) values from photogrammetry methods were compared using predicted 3D cycling models for 10 male amateur cyclists. The shape of the 3D models was predicted using anthropometric measures. Subsequently, the models were reposed from a standing to a cycling pose using joint angle data from an optical motion capture (mocap) system. In the second part, a linear regression analysis was performed to predict A using 26 anthropometric measures combined with joint angle data from two sources (optical and inertial mocap, separately). Drag calculations were strongly correlated with benchmark projected frontal area (coefficient of determination R2 = 0.72). A can accurately be predicted using anthropometric data and joint angles from optical mocap (root mean square error (RMSE) = 0.037 m2) or inertial mocap (RMSE = 0.032 m2). This study showed that aerodynamic efficiency can be predicted using anthropometric and joint angle data from commercially available, inexpensive posture tracking methods. The practical relevance for cyclists is to quantify and train posture during cycling for improving aerodynamic efficiency and hence performance.
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Dissertations / Theses on the topic "Anthropometric measures"

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Kerns, R. C. "The Relationship of Anthropometric Measures to Vertical Jump Height." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/honors/60.

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The capability to perform your best is an important aspect in the sport of soccer. The relationship between anthropometric measures to vertical jump height among NCAA Division I Women’s soccer players is a subject lacking sufficient scientific research. Purpose: To analyze this relationship, body mass and %body fat was correlated with un-weighted countermovement jump height to determine the strength of this relationship in NCAA DI female soccer players. Methods: Data from an ongoing athlete monitoring program from fourteen NCAA D1 female soccer players in the year 2007 was analyzed. Air Displacement Plethysmography (ADP) via a BOD POD (Life Measurement, Inc., Concord, CA) measured body composition. Height and weight were measured using BOD POD Scale (Life Measurement Inc., Concord, CA) and a stadiometer (Detecto Scale Program, Webb City, MO). To measure the strength characteristics, a Countermovement Jump was utilized. Those jumps were measured using force plates (Rice Lake Weighing Systems, Rice Lake, WI). Results: There was an inverse and moderate correlation (r = -0.371) between 0kg CMJ and %BF, and an inverse and trivial correlation (r = -0.034) between the 0kg CMJ and BM. Conclusion: The relationship between %BF and jump height has a larger impact on this particular group compared to the BM relationship with jump height, but they both however play a significant role in DI women’s soccer.
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Astin, Angela DiDomenico. "Finger force capability: measurement and prediction using anthropometric and myoelectric measures." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/30923.

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Hand and finger force data are used in many settings, including industrial design and indicating progress during rehabilitation. The application of appropriate work design principles, during the design of tools and workstations that involve the use of the hand and fingers, may minimize upper extremity injuries within the workplace. Determination and integration of force capabilities and requirements is an essential component of this process. Available data in the literature has focused primarily on whole-hand or multi-digit pinch exertions. The present study compiled and examined maximal forces exerted by the fingers in a variety of couplings to both enhance and supplement available data. This data was used to determine whether finger strength could be predicted from other strength measures and anthropometry. In addition, this study examined whether exerted finger forces could be estimated using surface electromyography obtained from standardized forearm locations. Such processes are of utility when designing and evaluating hand tools and human-machine interfaces involving finger intensive tasks, since the integration of finger force capabilities and task requirements are necessary to reduce the risk of injury to the upper limbs.

Forces were measured using strain gauge transducers, and a modification of standard protocols was followed to obtain consistent and applicable data. Correlations within and among maximum finger forces, whole-hand grip force, and anthropometric measures were examined. Multiple regression models were developed to determine the feasibility of predicting of finger strength in various finger couplings from more accessible measures. After examining a wide variety of such mathematical models, the results suggest that finger strength can be predicted from easily obtained measures with only moderate accuracy (R2-adj: 0.45 - 0.64; standard error: 11.95N - 18.88N). Such models, however, begin to overcome the limitations of direct finger strength measurements of individuals.

Surface electrodes were used to record electromyographic signals collected from three standardized electrode sites on the forearm. Multiple linear regression models were generated to predict finger force levels with the three normalized electromographic measures as predictor variables. The results suggest that standardized procedures for obtaining EMG data and simple linear models can be used to accurately predict finger forces (R2-adj: 0.77 - 0.88; standard error: 9.21N - 12.42N) during controlled maximal exertions. However, further work is needed to determine if the models can be generalized to more complex tasks.
Master of Science

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Hinojosa, Richard. "The Interrelationships of Strength, Speed, Power and Anthropometric Measures in College Aged Women." Thesis, North Texas State University, 1985. https://digital.library.unt.edu/ark:/67531/metadc500785/.

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The purpose of the investigation was to determine the interrelationships of strength, speed, power and anthropometric measures in women. Sixty females ranging in ages from 18 to 25 volunteered as subjects. Subjects were measured for strength on the bench press, leg extension and leg curl, power vertical jump, speed--a 40 yard dash, body weight (BW) and fat weight (FW) using a scale and skinfold tests. The correlations for strength and power (.35 to .53), strength and speed (-.37 to -.56) and speed and power (-.45) were significant (p < .01). Partial correlations with (BW) and (FW) held constant were also significant, but were not significantly greater than their zero-order correlations.
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De, Vos Alphons Cornelius 1962. "Prediction of minimum wrestling weight in adolescent wrestlers by using anthropometric measures." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276594.

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Fifty-five wrestlers from Tucson, Arizona were studied to develop equations using anthropometric measurements to predict a wrestler's minimum wrestling weight (MWW). This sample was also used to cross-validate seven equations that predict MWW by using anthropometric measures. All estimates of percent fat and MWW were validated by densitometry. The mean age, weight, percent fat and MWW for this sample, with standard deviations, were 16.8 ± 1.1 yrs, 63.7 ± 12.7 kg, 8.8 ± 5.49 percent, and 60.6 ± 9.49 kg. Using multiple regression analysis, the best combination of variables predicted MWW with an adjusted R2 of.93 and standard error of estimate (SEE) of 2.45 kg. The next best equation from this sample predicted MWW with an adjusted R2 of.91 and SEE of 2.8 kg. All seven of the equations from other samples were successfully cross validated on this sample. These equations predicted the criterion MWW with respective adjusted R2's and SEE's ranging from.91 and 2.84 kg to.79 and 4.28 kg.
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Haywood, Kirstie Louise. "Health outcomes in ankylosing spondylitis : an evaluation of patient-based and anthropometric measures." Thesis, University of York, 2000. http://etheses.whiterose.ac.uk/9814/.

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Mishu, Masuma Pervin. "The association between dental caries and anthropometric measures in 5-9-year-old Bangladeshi children." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/10038327/.

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BACKGROUND: Dental caries is the most common childhood disease worldwide. Previous research on the associations between dental caries and height, weight and body-mass-index (BMI) among children has produced inconsistent results. Dental caries also has a negative impact on oral health related quality of life (OHRQoL) in children. However, the precise nature and underlying mechanism of this relationship is yet to be fully investigated. Thus the PhD thesis aimed to assess the associations between dental caries and anthropometric measures (height, weight and BMI) among 5-9-year-old Bangladeshi children. A secondary aim was to examine whether any associations between dental caries and anthropometric measurements were explained by OHRQoL, in particular dental pain, eating difficulty, poor appetite and sleep disturbance. METHODS: A cross sectional observational study was conducted among 5-9-year-old children in Dhaka, Bangladesh. Data were collected from children and their parents from Dhaka Dental College Hospital and from three nearby primary schools. Multiple linear regression analysis was used to assess the associations of interest, adjusted for potential covariates. RESULTS: The final sample comprised 788 children. Dental caries and sepsis showed negative associations with height-for-age z-scores (HAZ), weight-for-age z-scores (WAZ) and BMI-for-age z-scores (BAZ) after adjusting for all confounders. Children who had higher level of caries and sepsis had lower HAZ, WAZ and BAZ compared to caries and sepsis free children. Adjusting for OHRQoL led to significant attenuation on associations between dental caries, sepsis and anthropometric outcomes. Moreover, OHRQoL showed significant inverse association with weight-for-age and BMI-for-age but not with height-for-age. Finally, amongst all potential mediators, adjusting for dental pain and eating difficulty led to significant attenuation on these associations. Therefore, dental pain and eating difficulty might be considered to partly explain the inverse associations. However, only eating difficulty showed significant inverse association with weight-for-age and BMI-for-age but not with height-for-age. Thus OHRQoL particularly eating difficulty might be considered on the hypothesized pathway of negative associations between dental caries, sepsis and weight-for-age and BMI-for-age. CONCLUSION: The results of this study provide evidence that dental caries was associated with lower height, weight and BMI among the study population. Secondly, OHRQoL particularly dental pain and eating difficulty partly explained the negative association.
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Sadetskaya, Katie. "Measuring wellbeing in New Zealand during the 19th - early 20th centuries : a spatial perspective." Thesis, University of Canterbury. Economics, 2014. http://hdl.handle.net/10092/9221.

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The overall objective of this thesis is to compare and contrast alternative measures of wellbeing in New Zealand during the 19th -early 20th centuries from a spatial perspective by collecting, collating and analyzing new economic, social and anthropometric data. Provincial data was collected from the Statistics New Zealand Annual Reports and New Zealand Census. Anthropometric data was derived from the personnel records of New Zealanders serving in WWI, which only became available to the public in 2005. Time-series tests for convergence and causality have been applied to analyze New Zealand’s economic history, where appropriate. The last quarter of the 19th century in New Zealand was a period of rapid change both in terms of economic and demographic indicators. Prior to the universal convergence of the existing monetary-based measures of wellbeing across Provinces, there were some apparent disparities in the commodity price and real wage series, as well as urban-rural differences in occupation-specific real wages and infant mortality trends. There was also no single pattern of stature decline across provinces during 1871-1898, or between urban and rural areas, where disparities were particularly apparent. The traditional view of the healthy and wealthy New Zealand could only be established at an aggregate level, during a certain time period and for a certain ethnic group (New Zealand European only). Using Provincial data for the period 1874-1919 I have been able to show that improvements in real wages and a decrease in education inequality (between females and males) corresponded to lower infant deaths and thus better health outcomes, while increased dwelling density created unfavorable conditions for infants’ chances of survival. Anthropometric data was used in conjunction with socio-economic provincial data to establish the relationship between stature, urbanization, real wages and infant mortality. The results showed that dwelling density (overcrowding) and general economic conditions were both important in determining stature outcomes during 1870-1900, while the effect of infant mortality on stature was negligible. Most importantly, it has been demonstrated that in New Zealand stature represents a much more robust measure of living standards than real wages or health indicators on their own, at least during the 1870-1900 period.
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Gaines, Rodney P. "Comparison of Anthropometric Measures of Competitive Bodybuilders to Judges' Scores and a Comparison of Judges' Scores." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/29253.

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This research compared physical characteristics of bodybuilders to judges' rankings, and compared the judges' rankings across three levels of judges: Elite, Trained, and Untrained. Twenty-nine male and nine female bodybuilding athletes consented to anthropometric and circumference measurements. The independent variables in this study were bodyfat, fat-free weight, and proportionality of muscle. Three groups of judges ranked male and female athletes in the Open, Novice, Collegiate, and Masters divisions. The measurements of proportionality of muscle, bodyfat, girths, and fat-free weight were analyzed using simple and multiple regression. The judges' rankings in each class were compared using reliability coefficients, correlation, repeated measures analysis of variance, and the generalized theory for inter-rater reliability. There were significant correlations between the Elite judges' rankings and bodyfat in the Men's Open lightweight class. The Trained and Elite judges' rankings were significantly correlated with bodyfat in the Women's Novice class. Fat-free weight was significantly correlated with the Untrained and Elite judges' rankings in the Women's Novice division. Proportionality of muscle was significantly correlated with the Elite and Trained judges' rankings in the Men's Open lightweight class. Elite and Trained judges' rankings were significantly correlated with bodyfat and proportionality of muscle. All three groups of judges' were significantly correlated with the Overall rankings. The Trained judges' rankings were more correlated and more reliable with the Elite judges. The inter-rater reliability scores were higher for the Elite and Trained judges than for the Untrained judges. When fat-free weight was substituted for body weight in the calculation of proportionality of muscle, prediction of ranking was enhanced. The education session led to a significant disparity in judges' rankings between Trained and Untrained judges. Bodyfat appears to be a better selection variable when comparing physical measurements to judges' rankings in women. Proportionality of muscle is a better selection variable in predicting judges' rankings in men. Prediction models developed from this investigation need further testing.
Ph. D.
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Gaines, Rodney Perry. "Comparison of Anthropometric Measures of Competitive Bodybuilders to Judges' Scores and a Comparison of Judges' Scores." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/29253.

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This research compared physical characteristics of bodybuilders to judges' rankings, and compared the judges' rankings across three levels of judges: Elite, Trained, and Untrained. Twenty-nine male and nine female bodybuilding athletes consented to anthropometric and circumference measurements. The independent variables in this study were bodyfat, fat-free weight, and proportionality of muscle. Three groups of judges ranked male and female athletes in the Open, Novice, Collegiate, and Masters divisions. The measurements of proportionality of muscle, bodyfat, girths, and fat-free weight were analyzed using simple and multiple regression. The judges' rankings in each class were compared using reliability coefficients, correlation, repeated measures analysis of variance, and the generalized theory for inter-rater reliability. There were significant correlations between the Elite judges' rankings and bodyfat in the Men's Open lightweight class. The Trained and Elite judges' rankings were significantly correlated with bodyfat in the Women's Novice class. Fat-free weight was significantly correlated with the Untrained and Elite judges' rankings in the Women's Novice division. Proportionality of muscle was significantly correlated with the Elite and Trained judges' rankings in the Men's Open lightweight class. Elite and Trained judges' rankings were significantly correlated with bodyfat and proportionality of muscle. All three groups of judges' were significantly correlated with the Overall rankings. The Trained judges' rankings were more correlated and more reliable with the Elite judges. The inter-rater reliability scores were higher for the Elite and Trained judges than for the Untrained judges. When fat-free weight was substituted for body weight in the calculation of proportionality of muscle, prediction of ranking was enhanced. The education session led to a significant disparity in judges' rankings between Trained and Untrained judges. Bodyfat appears to be a better selection variable when comparing physical measurements to judges' rankings in women. Proportionality of muscle is a better selection variable in predicting judges' rankings in men. Prediction models developed from this investigation need further testing.
Ph. D.
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White, Jason B. "Effects of Supersets Versus Traditional Strength Training Methods on Muscle Adaptations, Recovery, and Selected Anthropometric Measures." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1305138820.

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Books on the topic "Anthropometric measures"

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Parker, Kimberly J. Anthropometric measures of malnutrition in children: October 1955 through March 1989, 529 citations. Bethesda, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Library of Medicine, Reference Section ; [Washington, D.C. : Supt. of Docs., U.S. G.P.O., distributor, 1989.

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D, Fryar Cheryl, Ogden Cynthia L, National Center for Health Statistics (U.S.), and National Health and Nutrition Examination Survey (U.S.), eds. Anthropometric reference data for children and adults: United States, 1988-1994. Hyattsville, Md: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2009.

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1932-, Bailar John C., Meyer Emily Ann, Pool Robert 1955-, Institute of Medicine (U.S.). Committee for the Assessment of the NIOSH Head-and-Face Anthropometric Survey of U.S. Respirator Users., and National Academy of Sciences (U.S.), eds. Assessment of the NIOSH head-and-face anthropometric survey of U.S. respirator users. Washington, D.C: National Academies Press, 2007.

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), National Center for Health Statistics (U S. Anthropometric reference data for children and adults: United States, 2007-2010 : data from the nathional health and nutrition survey. Hyattsville, Md: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2012.

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E, Clauser Charles, Gordon Claire C, U.S. Army Natick Research and Development Laboratories., and Anthropology Research Project Inc, eds. Measurer's handbook: U.S. Army anthropometric survey, 1987-1988. Natick, Mass: U.S. Army Natick Research, Development and Engineering Center, 1988.

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Handbook of anthropometry: Physical measures of human form in health and disease. New York: Springer, 2012.

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Mary, McDonald, and Wilkin Mike ill, eds. How do you measure up? [Santa Rosa, CA]: SRA, 1994.

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Engineers, Society of Automotive, ed. Child anthropometry for improved vehicle occupant safety. Warrendale, PA: SAE International, 2010.

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National Household Survey Capability Programme. How to weigh and measure children: Assessing the nutritional status of young children in household surveys. New York: United Nations, Department of Technical Co-operation for Development and Statistical Office, 1986.

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Das, S. R. Mixed-longitudinal growth data for 22 measures, the Sarsuna Barisha series (301 boys and 261 girls, 6 months to maturity), West Bengal, India. Calcutta: Anthropological Survey of India, Govt. of India, Dept. of Culture, 1985.

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Book chapters on the topic "Anthropometric measures"

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Jones, Peter R. M., Jean Peters, and Keith M. Bagnall. "Anthropometric Measures of Fetal Growth." In Human Growth, 255–74. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2101-9_14.

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Nydegger, Andreas, and Julie E. Bines. "Anthropometric Measures in Children with Renal Failure." In Handbook of Anthropometry, 1237–47. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_75.

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Mok, Chi Chiu. "Changes in Anthropometric Measures in Systemic Lupus Erythematosus." In Handbook of Anthropometry, 2391–402. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_147.

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Bragança, Sara, Pedro Arezes, Miguel Carvalho, and Susan Ashdown. "Effects of Different Body Postures on Anthropometric Measures." In Advances in Ergonomics in Design, 313–22. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41983-1_28.

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Mizrahi-Lehrer, Eddy, Beatriz Cepeda-Valery, and Abel Romero-Corral. "Anthropometry of Body Fat: How Anthropometric Measures Predict Mortality and Especially Cardiovascular Mortality." In Handbook of Anthropometry, 385–95. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_21.

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Mathieu, Marie-Eve, and Louise Béliveau. "The Use of Skinfolds in Anthropometric Measures and Their Applications to Diabetes." In Handbook of Anthropometry, 2107–19. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_129.

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Mironov, Boris N. "Anthropometric Measures of Birth and Stature: Perspectives on Russian Mothers and Newborns." In Handbook of Anthropometry, 2561–80. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_159.

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Orsatti, Fábio Lera, Erick Prado de Oliveira, and Roberto Carlos Burini. "Relationship Between Plasma Hormones and Anthropometric Measures of Muscle Mass in Postmenopausal Women." In Handbook of Anthropometry, 1481–90. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_90.

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Hanson, Lars, and Dan Högberg. "Use of Anthropometric Measures and Digital Human Modelling Tools for Product and Workplace Design." In Handbook of Anthropometry, 3015–34. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_186.

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Andrews, David M., and Timothy A. Burkhart. "Prediction of Upper and Lower Extremity Tissue Masses Using Surface Anthropometric Measures and DXA." In Handbook of Anthropometry, 679–96. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_37.

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Conference papers on the topic "Anthropometric measures"

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Komandur, S., P. W. Johnson, R. L. Storch, and M. G. Yost. "Relation between index finger width and hand width anthropometric measures." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333195.

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Li, Kai Way, Chao-Cheng Su, and Szu-Yin Huang. "Anthropometric measures and static muscular strengths for youths males and females." In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2013. http://dx.doi.org/10.1109/ieem.2013.6962388.

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Thamizhselvi, E., and V. Geetha. "A Comparative Study of Anthropometric Measures and its significance on Diverse Applications." In 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2019. http://dx.doi.org/10.1109/icscan.2019.8878748.

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F. Catapan, Márcio, Maria Lucia Okimoto, Mateus Villas Boas, and Roberto Waldhauer. "Statistical Analysis of the Height of Human Head in the Use of Ballistic Helmets." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001309.

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The adequacy and improvements of the artifacts have been the concern of ergonomics, where the focus is the preservation of the physical, mental and social human being. This is the view of the anthropometry which is the measurement science and art of human knowledge of geometry, so it can be defined as the part of anthropology that studies the proportions and measurements of the human body. To defining a new measure anthropometric a statistical study is required with the correct number of samples for the experiment, definitions of the standard deviation and its variance, identification and comparison of means between groups, as the size for example, among other studies as design of the experiment. Knowing that the ballistic helmets used by national armed forces show up discomfort for many users, you must define new measures in the human head for a better dimensioning of the correct helmet proposing a new artifact for that function. Thus in this study a human head anthropometric survey of some potential users ballistic helmets, following a defined statistically, through its basic measures such as circumference, width and height of the head, as well as a new measure that is the height of human head for use of ballistic helmets. This new measure is statistically analyzed for its proof. It is in this scope that fits the purpose of this work that statistically analyzes the height measurement of the human head, based on the sizes of helmets S, M and L and verifies what is the required height for better seating of the product in question. So be correlated which of the measures of the head that is related to this point, in order to check whether it is necessary to analyze this measure for all users or you can check out other measures that are directly related.
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Seifert, Emily, Christopher Curry, and Linsey Griffin. "3D Anthropometric Assessment of Functional Hand Grasps for Surgeons and Medical Professionals." In 2019 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dmd2019-3310.

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Fine and gross motor skills of the hand are essential to complete the work of surgery. During examinations and surgery, the hand becomes a surgeon and a medical professional’s first point of contact with a patient, as they use their hands to perform tasks with various tools while wearing gloves. The anthropometry of hands and the interaction of the tool can affect the probability of developing a musculoskeletal injury [3]. Tools for healthcare professionals are typically designed using male anthropometric data taken from only one position using tape measures and calipers. The problem with this approach is that humans are rarely in these positions when carrying out everyday tasks and hand measurements and form change with movement. This paper discusses a new method of capturing dynamic hand anthropometry through the use of 3D scanners, to address traditional anthropometric hand data’s limitation. Based on an initial assessment of surgical instruments, six functional hand grasps were selected and compared to traditional hand anthropometric poses. Using these poses, a pilot study with one male was conducted. In total 65 measurements were gathered through 8 poses. The positions with the largest range of measurement change were: Total Hand Length-Palmar with 48 mm, Total Hand Length-Dorsal with 39 mm, and the tip of the first digit through webspace to the tip of digit 2 (Web) with 26 mm. Understanding dimensional change in select areas of the hand is essential to developing more ergonomic, better fitting products for surgeons and medical professionals. A 26–48 mm dimensional change can have a significant impact on the positioning of surgical tool properties, as well as the functionality of the tool and precision of work for surgeons and medical professionals with different hand sizes. This pilot study demonstrated the feasibility of using functional hand grasps as a basis for collecting hand anthropometric data using a 3D scanner.
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Afzan, Z. Z., S. A. Hadi, B. T. Shamsul, H. Zailina, I. Nada, and A. R. S. Rahmah. "Mismatch between school furniture and anthropometric measures among primary school children in Mersing, Johor, Malaysia." In 2012 Southeast Asian Network of Ergonomics Societies Conference (SEANES). IEEE, 2012. http://dx.doi.org/10.1109/seanes.2012.6299557.

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Craig, SE, M. Kohler, D. Nicoll, M. Siccoli, RJ Davies, and JR Stradling. "Metabolic Sydrome Prediction in Mild/Moderate OSA Patients – Anthropometric Measures and Abdominal Fat Estimations by MRI." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a5335.

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Antónia Gonçalvesa, Maria, and Pedro Arezesb. "Analysis of the Mismatch Between School Furniture and Children." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100792.

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The characteristics of school furniture are strongly associated with back and neck pain, referred by school-aged children. In Portugal, about 60% of the adolescents involved in a recent study reported having felt back pain at least once in the last three months. The aim of this study was to compare furniture sizes of the 2 types indicated for primary schools, within 9 schools, with the anthropometric characteristics of Portuguese students, in order to evaluate the mismatch between them. The sample consisted of 432 volunteer students. Regarding the methodology, 5 anthropometric measures were gathered, as well as 5 dimensions from the school furniture. For the evaluation of classroom furniture, a (mis)match criterion equation was defined. Results indicated that there is a significant mismatch between furniture dimensions and the anthropometric characteristics of the students.
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Fromuth, Robert C., and Matthew B. Parkinson. "Predicting 5th and 95th Percentile Anthropometric Segment Lengths From Population Stature." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50091.

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Designing for human variability frequently necessitates an estimation of the spatial requirements of the intended user population. These measures are often obtained from “proportionality constants” which predict the lengths of relevant anthropometry using stature. This approach is attractive because it is readily adapted to new populations—only knowledge of a single input, stature, is necessary to obtain the estimates. The most commonly used ratios are those presented in Drillis and Contini’s report from 1966 [1]. Despite the prevalence of their use, these particular values are limited because the size and diversity of the population from which these ratios were derived is not in the literature, and the actual body dimensions that each ratio represents are not clear. Furthermore, they are often misinterpreted and used inappropriately. This paper introduces a new approach, the “boundary ratio” which mitigates many of these issues. Boundary ratios improve on the traditional application of proportionality constants by: 1) explicitly defining the body dimensions, 2) defining constants for the 5th, 50th, and 95th percentile measures, and 3) providing distinct constants for males and females when necessary. This approach is shown to better model the range of variability exhibited in population body dimensions.
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Khoirul Umamiab, Mahrus, Pedro M. Arezesa, and Alvaro M. Sampaioc. "Hand Anthropometry and Its Application to Design." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100793.

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This study presents a literature review and a comparison of selected hand anthropometric studies of many populations. The main purpose of this study is to determine the measurements and variables that need to be included in a study of hand for Portuguese population. The comparison and review were performed with studies selected from publications that were found in a literature search performed on Scopus and Google Scholar databases. The considered studies have an evident consideration for the design of hand tools and hand-held devices in the aims of the study and report data collected later than 1990. The review was performed by identifying the measurement included in each study and by comparing their aims and methods. Each study involved a different number of hand measures. Each study had their own reasons for the selection of the hand anthropometric measures involved. However, it can be generally concluded that the studies selected the measures based on a few criteria. The included studies involved a range of 8 to 51 different hand dimensions. The hand dimensions that were considered in at least five different studies were identified.
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Reports on the topic "Anthropometric measures"

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Clauser, Charles, Ilse Tebbetts, Bruce Bradtmiller, John McConville, and Claire C. Gordon. Measurer's Handbook: U.S. Army Anthropometric Survey, 1987-1988. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada202721.

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Gardner, John W., Rose M. Popovich, Vitaly Ovchinnikov, and Matt Tolman. Fort Jackson 1988 Database: Demographics, Anthropometrics, Risk Factors and Fitness Measures. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada363279.

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Harris, Bernard. Anthropometric history and the measurement of wellbeing. Verlag der Österreichischen Akademie der Wissenschaften, June 2021. http://dx.doi.org/10.1553/populationyearbook2021.rev02.

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It has often been recognised that the average height of a population is influencedby the economic, social and environmental conditions in which it finds itself, andthis insight has inspired a generation of historians to use anthropometric data toinvestigate the health and wellbeing of past populations. This paper reviews someof the main developments in the field, and assesses the extent to which heightremains a viable measure of historical wellbeing. It explores a number of differentissues, including the nature of human growth; the impact of variations in diet andexposure to disease; the role of ethnicity; the relationships between height, mortalityand labour productivity; and the “social value” of human stature. It concludes that,despite certain caveats, height has retained its capacity to act as a “mirror” of theconditions of past societies, and of the wellbeing of their members.
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Crimmins, Ellen, Heide Guyer, Kenneth Langa, Mary Beth Ofstedal, and Robert Wallace. Documentation of Physical Measures, Anthropometrics and Blood Pressure in the Health and Retirement Study. Institute for Social Research, University of Michigan, 2008. http://dx.doi.org/10.7826/isr-um.06.585031.001.05.0014.2008.

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