Journal articles: 'Anthropometric measurements'

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Kumar Mishra, Maneesh, Pascal Bruniaux, Guillaume Tartare, and Christine Campagne. "Insole customized Part 1." Koža & obuća 68, no. 2 (2019): 12–19. http://dx.doi.org/10.34187/ko.68.2.4.

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Regardless of the objectives of the study, whether it is the morphological classification of the feet or the customization of products such as orthopedic insoles or appropriate footwear for atypical feet, it is the imperative to find a rational method for detecting the anthropometric points and curves. The studies explaining the anthropometry of the foot are very few and in some cases present contradictions in the measurements between the manual and automatic scanning processes. In addition, our goal was to implement a non-contact measurement method to detect the anthropometric points of feet. This method proposes different tracking techniques using different adjustable planes. In a 3D graphical process, the morphological curves have been located with the help of these anthropometrics points and allowed the identification of the foot by their measurements. These measurements were compared with those obtained by a 3D foot scanner to validate the detection method of anthropometric points and improve it by employing these scanners.

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ASHRAF, SOHAIL, ARSHALOOZ J. RAHMAN, and KASHIF ABBAS. "ANTHROPOMETRIC MEASUREMENTS;." Professional Medical Journal 19, no. 02 (February 22, 2012): 150–54. http://dx.doi.org/10.29309/tpmj/2012.19.02.1994.

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Background: Determination of anthropometric measurements, especially of birth weight of newborn in first few days after birthis important for the assessment of neonatal nutritional status, gestational maturity, and prediction of early neonatal death. Objectives: (1) Todetermine the mean birth weight, mean birth length and mean head-circumference. (2) To seek association between income of the family andmean birth weight. Study Design: Analytical cross-sectional study. Setting & Period: This study was done in the pediatric department of LiaquatNational Hospital from March 2003 to September 2003. Materials and methods: One hundred full terms, normal, singleton newborn babieswere included and birth weight, length and head circumference were taken within 72 hours of birth. Results: Overall mean birth weight was2.890 kg, mean birth length 48.245cm and mean head circumference was 34.232 cm.The % of LBW babies was 13. The mean birth weight ofbabies belonging to group A (born to families with income >5000 Rs/mth) was 3.044 Kg and that of group B (born to families with income <5000Rs/mth) was 2.736 Kg. Group A had 8 % LBW babies whereas group B had 18 %. Mean birth weight, length and head circumference of boys was2.961Kg, 48.776 cm and 34.316 cm respectively. Mean birth weight, length and head circumference of girls was 2.788 Kg, 47.480 cm and34.109 cm respectively. Conclusions: Community based studies should be conducted from time to time in order to develop our own populationdata.

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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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Erkan, Ilker. "A system proposal for rapid detecting of anthropometric data and affecting design strategies." Journal of Engineering, Design and Technology 18, no. 6 (March 27, 2020): 1793–822. http://dx.doi.org/10.1108/jedt-11-2019-0302.

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Purpose The purpose of this study on architecture, design, ergonomics and anthropometry was to ensure compliance with the human-machine-work environment, minimize human error and obtain anthropometric measurements accurately, safely and rapidly. Design/methodology/approach The developed system efficiently extracted anthropometric data for 15,243 individuals with an accuracy rate of 98.8 per cent, focusing on the values for “shoulder breath” and “body depth.” In this study, a new anthropometric measurement system was developed and subsequently applied to obtain anthropometric measurements easily and quickly. The effect of the newly collected anthropometric data on the design discipline was evaluated. Findings The findings highlighted the need to update the anthropometric data used in other design studies. In addition to contributing to designing discipline, the updated anthropometric data are considered suitable for use in many different fields. Research limitations/implications The design discipline and related disciplines are expected to take advantage of these measurements. Updating the aforementioned data will also be easier and faster because of the simplicity and affordability of the system. Originality/value This is the first and only such study in Turkey with regard to the up-to-date anthropometric measurements obtained and the size of the database created.

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Tiit, Ene-Margit. "Creation and revitalization of the Estonian National Register of anthropometric data." Papers on Anthropology 25, no. 2 (December 21, 2016): 70. http://dx.doi.org/10.12697/poa.2016.25.2.07.

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Anthropmetric data have always been of interest for scientists. They have also great practical value for different groups of people: tailors, designers and also health care specialists. Anthropological data are different in different geographical areas and also change in time. That is why it is important to save also results of older anthropometrical measurements. In Estonia the anthropometrical measurements have been made by different researchers since the 18th century. The Group of Physical Anthropology at the University of Tartu (initiated by prof Helje Kaarma) was especially active in gathering anthropometric data. The data were saved in the Anthropometic Register. Unfortunately, the register had no financial support and so its activities stopped. In summer 2016 the group of people interested in saving the historical anthropometric data started revitalising the Register of Anthropological Data. Hopefully, it will be possible to use the Estonian Social Science Data Archive for this purpose.

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Mueller, William. "Anthropometric Health Assessment of Adults." Practicing Anthropology 8, no. 1-2 (January 1, 1986): 14–15. http://dx.doi.org/10.17730/praa.8.1-2.d3p42028q2256851.

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Anthropometry is the physical measurement of the human body. Historically, physical anthropologists have centered on osteometric and craniometric measurements; in the 19th century, the focus was on skeletal populations. At the beginning of the 20th century, this research focus shifted to the living as scientists such as Henry Bowditch, the medical doctor, and Franz Boas, the anthropologist, used anthropometric measurements of growing children as markers of health status. Scientists recognized that the growth and development process was affected by the environment and thus reflective of the health and well being of the individual and his/her population. Unfortunately, the study of development generally ceases with samples of young adults, who presumably have finished growing. This article deals with anthropometric health assessment in adults. It proposes that adults continue to change throughout their lives, and that the assessment of such changes through anthropometry has promising applications.

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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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Andersen, Henning, Johannes Chr Melchior, and Helge Andersen. "Anthropometric Measurements of Foetuses." Acta Paediatrica 52 (January 21, 2008): 144. http://dx.doi.org/10.1111/j.1651-2227.1963.tb08780.x.

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Shastry, C., and B. Bhat. "Anthropometric measurements of newborns." International Journal of Contemporary Pediatrics 2, no. 2 (2015): 85. http://dx.doi.org/10.5455/2349-3291.ijcp20150505.

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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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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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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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Kusharisupeni, Kusharisupeni, Wahyu Kumia Y. Putra, and Engkus Kusdinar Achmad. "Anthropometric measurements for detecting low birth weight." Paediatrica Indonesiana 53, no. 3 (June 30, 2013): 177. http://dx.doi.org/10.14238/pi53.3.2013.177-80.

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Background In several provinces of Eastern Indonesia, themajority of births take place at home (60%) and are assisted bytraditional birth attendants. Most of these newborns do not havetheir birth weight recorded, due to lack of available weighing scalesor lack of skill to perform the measurement, especially in ruralareas. As such, an early iden tification oflow birth weight cases isneeded to prevent infan t morbidity and mortality.Objective To assess anthropometric measurements including calf,chest, and h ead circumferences as a method of choice for detectinglow birth weight, as substitute for actual weighing.Methods This cross-sectional study was performed at BanjarBarn, South Kalimantan, Indonesia, from January to March 2012.Subjects were full term, singleton, and live-born infants duringthe study period, and obtained from private clinics by a purposivesampling procedure. Calf, chest, and h ead circumferences weremeasured to identify the most suitable substitute for birth weightusing Pearson's correlation, ROC, sensitivity, and specificity.Results In this study, a correlation was shown between birthweight and all anthropometric measurements. Optimal calf,chest, and head circumference cutoff points to identify low birthweight infants were 10.3 cm, 30. 7 cm, and 3 1.2 cm, respectively.The area under the curves (AUC) showed good accuracy for allmeasuremen t types. Calf circumference had the closest estimatedtrue prevalence to the true prevalence (8.52% and 8.6%, respectively)compared to the other measurement types.Conclusion Calf circumference is the most suitable measurementas a substitute for birth weight, due to its estimated trueprevalence.

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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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Lingamdenne, Peter Ericson, and Pavani Marapaka. "MEASUREMENT AND ANALYSIS OF ANTHROPOMETRIC MEASUREMENTS OF THE HUMAN SCAPULA IN TELANGANA REGION, INDIA." International Journal of Anatomy and Research 4, no. 3.2 (August 31, 2016): 2677–83. http://dx.doi.org/10.16965/ijar.2016.302.

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Paquette, Steven, J. David Brantley, Brian D. Corner, Peng Li, and Thomas Oliver. "Automated Extraction of Anthropometric Data from 3D Images." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 38 (July 2000): 727–30. http://dx.doi.org/10.1177/154193120004403811.

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The use of 3D scanning systems for the capture and measurement of human body dimensions is becoming commonplace. While the ability of available scanning systems to record the surface anatomy of the human body is generally regarded as acceptable for most applications, effective use of the images to obtain anthropometric data requires specially developed data extraction software. However, for large data sets, extraction of useful information can be quite time consuming. A major benefit therefore is to possess an automated software program that quickly facilitates the extraction of reliable anthropometric data from 3D scanned images. In this paper the accuracy and variability of two fully automated data extraction systems (Cyberware WB-4 scanner with Natick-Scan software and Hamamatsu BL Scanner with accompanying software) are examined and compared with measurements obtained from traditional anthropometry. In order to remove many confounding variables that living humans introduce during the scanning process, a set of clothing dressforms was chosen as the focus of study. An analysis of the measurement data generally indicates that automated data extraction compares favorably with standard anthropometry for some measurements but requires additional refinement for others.

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Ketel, Iris J. G., Mariken N. M. Volman, Jacob C. Seidell, Coen D. A. Stehouwer, Jos W. Twisk, and Cornelis B. Lambalk. "Superiority of skinfold measurements and waist over waist-to-hip ratio for determination of body fat distribution in a population-based cohort of Caucasian Dutch adults." European Journal of Endocrinology 156, no. 6 (June 2007): 655–61. http://dx.doi.org/10.1530/eje-06-0730.

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Objective: To determine which anthropometric measurement is the most reliable alternative for fat distribution as measured by dual-energy X-ray absorptiometry (DXA). Design: Population-based survey carried out in Amsterdam, The Netherlands. Subjects and methods: A total of 376 individuals (200 women) with a mean age of 36.5 years and mean body mass index (BMI) of 24.0 (±3.1) kg/m2 underwent various anthropometric and DXA measurements of central (CFM) and peripheral fat mass (PFM). Furthermore, for the assessment of apple-shaped body composition, CFM-to-PFM ratio was calculated. Anthropometric measurements were waist and hip circumference, waist-to-hip ratio (WHR), BMI, waist/length and the skinfold thickness of biceps, triceps, suprailiacal (SI), subscapular (SS) and upper leg. We determined whether equations of combined anthropometrics were even more reliable for the assessment of fat mass. Results: In both women and men, reliable alternatives for CFM are central skinfolds and waist (Pearson’s correlation (r) ≥ 0.8). Peripheral skinfolds are the best predictors of PFM (r ≥ 0.8). In contrast, WHR correlated only marginally with any of the DXA measurements. Equations based on several anthropometric variables correlate with CFM even better (R2 ≥ 0.8). CFM-to-PFM ratio has the highest correlation with the ratio (SS+SI)/BMI in women (r = 0.66) and waist/length in men (r = 0.71). Equations are reasonable alternatives of CFM-to-PFM ratio (R2 ≥ 0.5). Conclusion: Waist and skinfolds are reliable alternatives for the measurement of body fat mass in a cohort of Caucasian adults. WHR is not appropriate for the measurement of fat distribution.

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Utkualp, Nevin, and Ilker Ercan. "Anthropometric Measurements Usage in Medical Sciences." BioMed Research International 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/404261.

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Morphometry is introduced as quantitative approach to seek information concerning variations and changes in the forms of organisms that described the relationship between the human body and disease. Scientists of all civilization, who existed until today, examined the human body using anthropometric methods. For these reasons, anthropometric data are used in many contexts to screen for or monitor disease. Anthropometry, a branch of morphometry, is the study of the size and shape of the components of biological forms and their variations in populations. Morphometrics can also be defined as the quantitative analysis of biological forms. The field has developed rapidly over the last two decades to the extent that we now distinguish between traditional morphometrics and the more recent geometric morphometrics. Advances in imaging technology have resulted in the protection of a greater amount of morphological information and have permitted the analysis of this information. The oldest and most commonly used of these methods is radiography. With developments in this area, CT and MRI have also been started to be used in screening of the internal organs. Morphometric measurements that are used in medicine, are widely used in the diagnosis and the follow-up and the treatment of the disease, today. In addition, in cosmetology use of these new measurements is increasing every day.

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Deepak, Anupama, and Saravana Kumar. "Anthropometric Measurements of External Ear." Research Journal of Pharmacy and Technology 9, no. 9 (2016): 1379. http://dx.doi.org/10.5958/0974-360x.2016.00264.x.

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Johnell, O., T. O'Neill, D. Felsenberg, J. Kanis, C. Cooper, and A. J. Silman. "Anthropometric Measurements and Vertebral Deformities." American Journal of Epidemiology 146, no. 4 (August 15, 1997): 287–93. http://dx.doi.org/10.1093/oxfordjournals.aje.a009269.

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Aydin, Zeki, Yonca Sevim, Baris Doner, Meltem Gursu, Serhat Karadag, Sami Uzun, Abdullah Sumnu, Egemen Cebeci, Alaattin Yildiz, and Savas Ozturk. "Anthropometric Measurements in Hemodialysis Patients." Turkish Nephrology Dialysis Transplantation 24, no. 01 (January 26, 2015): 61–67. http://dx.doi.org/10.5262/tndt.2015.1001.08.

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Gharehdaghi, Jaber, Maryam Baazm, Masoud Ghadipasha, Sadra Solhi, and Farhoud Toutounchian. "Anthropometric measurements in Iranian men." Journal of Forensic and Legal Medicine 53 (January 2018): 31–34. http://dx.doi.org/10.1016/j.jflm.2017.10.013.

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Kaeuper, Margaret. "Craniofacial Measurements in a Home-Based Public Health Study." Practicing Anthropology 21, no. 1 (January 1, 1999): 40–43. http://dx.doi.org/10.17730/praa.21.1.bq22775wj36x347t.

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Colleagues in nursing were puzzled when I told them I would be trained by an anthropologist to take anthropometric craniofacial measurements. As it turned out my new colleagues in anthropology were also surprised to find how well my training in public health nursing facilitated the successful collection of data. Young children are notoriously difficult subjects for the anthropometrist, yet the procedures used were, in kind, no different from what nurses routinely ask of a child. Thus, my previous experience as a public health nurse specializing in maternal child health allowed me to develop several useful strategies that resulted in successful collection of anthropometric data from over 1300 infants, with follow-up of some at one year and three years of age. As so often, cross-disciplinary approaches produce useful results, in this case the synthesis of an anthropometric methodology and a public health nurse's understanding of children and mothers.

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Czajka-Narins, Dorice M., and Eduard Jung. "Maternal anthropometric measurements in relation to infant measurements." Nutrition Research 6, no. 1 (January 1986): 3–16. http://dx.doi.org/10.1016/s0271-5317(86)80194-4.

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Nurzaime Zulaily, Aryati Ahmad, Mohd Razif Shahril, Fadzli Syed Abdullah, and Amran Ahmed. "RELIABILITY OF ANTHROPOMETRIC MEASUREMENTS CONDUCTED IN NATIONAL PHYSICAL FITNESS STANDARD (SEGAK) ASSESSMENTS AMONG SCHOOL-AGED ADOLESCENTS IN TERENGGANU, MALAYSIA." Malaysian Journal of Public Health Medicine 19, no. 2 (August 31, 2019): 141–48. http://dx.doi.org/10.37268/mjphm/vol.19/no.2/art.198.

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School-based health programs implemented by the Malaysian Ministry of Education (MOE) through the National Physical Fitness Standard (SEGAK) assessments provided an important platform in health status monitoring among schoolchildren. However, to date, there is still no reliability study conducted on this method. Therefore, this study aimed to determine the reliability of the anthropometric data collected by physical education (PE) teachers in the SEGAK assessments. Anthropometry measurements of standard six school adolescents involved in the Health of Adolescents in Terengganu study were taken by trained researchers using a standardised protocol. The anthropometrics data were then compared with PE teachers’ measurements from the SEGAK assessments obtained from the specifically developed Health Monitoring System database. Reliability of the anthropometric measurements were analysed using Pearson’s correlation test, Intraclass Correlation Coefficients (ICC), Bland-Altman plot and Cohen’s Kappa statistics. Intraclass correlation coefficient between teacher-measured and researcher-measured values shows good correlation in weight (ICC = 0.93), height (ICC = 0.98) and BMI (ICC = 0.91). The Bland-Altman plot showed a relatively small difference in mean of weight, height, and BMI between teacher-measured and researcher-measured value. The mean difference between teacher-measured and researcher-measured value of weight, height, and BMI were 1.8kg, 0.1cm, and 0.8kg/m2 respectively. Overall, Cohen’s Kappa statistics showed substantial agreement (κ = 0.642) in BMI categorisation between the two measurements. Findings from reliability analysis conducted affirmed that anthropometrics assessments conducted by PE teachers in SEGAK assessments are reliable to be used for identification of body weight status among school children and adolescents particularly in Terengganu, Malaysia.

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Farkas, Leslie G. "Accuracy of Anthropometric Measurements: Past, Present, and Future." Cleft Palate-Craniofacial Journal 33, no. 1 (January 1996): 10–22. http://dx.doi.org/10.1597/1545-1569_1996_033_0010_aoampp_2.3.co_2.

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Experience, based on anthropometric examination of over 1000 children with facial syndromes and more than 2400 healthy subjects of both sexes and various ages, has led me to diverge in some points from the more usual views found in the physical anthropologic literature. The purpose of this paper is to discuss the major controversial topics associated with anthropometric measurement. These include the problems associated with formation of a representative population sample, the relative validity of longitudinal and cross-sectional studies, the interpretation of intraobserver and interobserver testings, and the questionable judgments of mensurative skill in clinical practice. The factors influencing the accuracy of anthropometric measurements, definitions of both the consistent and less reliable measurements, and the duration of validity of anthropometric normative data are also discussed.

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Leppik, Aire, Toivo Jürimäe, and Jaak Jürimäe. "Reproducibility of anthropometric measurements in children: A longitudinal study." Anthropologischer Anzeiger 62, no. 1 (March 16, 2004): 79–91. http://dx.doi.org/10.1127/anthranz/62/2004/79.

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Singh, Surinder, Pancham Kumar, and B. R. Thakur. "Anthropometric measurements of a neonate vis-a-vis maternal nutritional status." International Journal of Contemporary Pediatrics 5, no. 2 (February 22, 2018): 640. http://dx.doi.org/10.18203/2349-3291.ijcp20180570.

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Background: The incidence of low birth weight i.e. <2500gm babies in India is 30-40% as compared to 7.5% in the developed world. The objective of this study was to find correlation between neonatal anthropometric indices and maternal nutritional status.Methods:Out of one thousand twelve live births during the study period 529 newborns which were fulfilling the required criteria were enrolled in the study. All the enrolled newborns were assessed for weight, length, OFC, MAC, MAC/OFC and Ponderal index. Maternal nutritional status was assessed by maternal weight, maternal height and BMI. Maternal data also comprised of demographic and social factors viz. maternal age, socioeconomic status, dietary habits, maternal education, occupation, parity, residence, altitude and antenatal care. The correlation between neonatal anthropometric indices and maternal nutritional status was studied using appropriate statistical methods.Results: The study population had mean maternal weight 50.0593±7.97, mean maternal height 154.148±9.0388 and mean body mass index 21.5871±10.458 which were significantly higher than national figure (NFHS 2 data). The mean birth weight was 2822.80±447.64, mean length 48.0319±2.1963, mean OFC 33.6866±1.3510, mean MAC 8.8866±0.8349,MAC/OFC 0.2636±2.039 E-02 .The study showed 29% LBW babies. The study showed highly significant positive relationship between maternal nutritional status assessed by maternal weight, height and BMI; and neonatal anthropometry i.e. birth weight length, OFC MAC, and MAC/OFC ratio.Conclusions:Maternal nutritional status has strong linear correlation with neonatal anthropometry. Shorter and lighter mothers tend to give birth to small babies with lower anthropometric measurements. Improvement in the maternal nutritional status can lead to better neonatal anthropometric indices which can be helpful in decreasing the neonatal morbidity and mortality.

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Gittoes, Marianne J. R., Ian N. Bezodis, and Cassie Wilson. "An Image-Based Approach to Obtaining Anthropometric Measurements for Inertia Modeling." Journal of Applied Biomechanics 25, no. 3 (August 2009): 265–70. http://dx.doi.org/10.1123/jab.25.3.265.

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This study aimed to develop and evaluate an image-based method of obtaining anthropometric measurements for accurate subject-specific inertia parameter determination using Yeadon’s (1990) inertia model. Ninety-five anthropometric measurements were obtained directly from five athletic performers and indirectly from digitization of subject-specific whole-body still images. The direct and image-based measurements were used as input into Yeadon’s (1990) inertia model. The overall absolute error in predicted whole-body mass achieved using the image-based approach (2.87%) compared well to that achieved using the direct measurements (2.10%). The inclusion of image-based anthropometric measurements obtained from extremity (hand and feet) images was not found to consistently improve model accuracy achieved using whole-body images only. The presented method provides a successful alternative to direct measurement for obtaining anthropometric measurements required for customized inertia modeling. The noninvasive image-based approach is benefited by the potential for obtaining subject-specific measurements from large samples of subjects and elite athletic performers for whom time-consuming data collections may be undesirable.

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HITT, KIRBY, JOHN R. SHURMAN, KENNETH GREENE, JOSEPH MCCARTHY, JOSEPH MOSKAL, TIM HOEMAN, and MICHAEL A. MONT. "ANTHROPOMETRIC MEASUREMENTS OF THE HUMAN KNEE." Journal of Bone and Joint Surgery-American Volume 85 (2003): 115–22. http://dx.doi.org/10.2106/00004623-200300004-00015.

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Singh, Shailendra, Santosh Kumar, Surabhi Rohilla, and Lalit Maini. "Functional anthropometric measurements of Indian pelvis." Journal of Clinical Orthopaedics and Trauma 5, no. 2 (June 2014): 79–83. http://dx.doi.org/10.1016/j.jcot.2014.05.001.

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Nanayakkara, Deepthi. "Anthropometric measurements of Sri Lankan newborns." Ceylon Journal of Medical Science 41, no. 1 (June 28, 1998): 1. http://dx.doi.org/10.4038/cjms.v41i1.4891.

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Agarwal, Anil, and Anuj Rastogi. "Anthropometric measurements in Ponseti treated clubfeet." SICOT-J 4 (2018): 19. http://dx.doi.org/10.1051/sicotj/2018010.

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Introduction: We measured the foot dimensions in the Ponseti treated idiopathic clubfeet to compare differences in foot sizes, if any. Patient and Methods: The foot length and width in unaffected, unilateral and bilateral clubfeet were measured and analysed statistically. Results: Average follow up was 22.2 months. Bilateral feet were similar in size. The unilateral affected feet matched in size with contralateral unaffected feet. The size difference between bilateral and unilateral affected feet was not significant. The bilateral feet were significantly smaller than age matched unaffected feet [in length 0.8 cm (6.1%); p = 0.03 and in width 0.2 cm, (3.7%); p = 0.03]. The unilateral foot was comparable with contralateral unaffected foot both during and post bracing. Conclusions: Post Ponseti treatment, inter bilateral, unilateral affected versus unaffected, bilateral versus unilateral affected feet matched in size. The overall clubfeet size especially those with bilateral disease were significantly shorter than unaffected side. The Ponseti managed unilateral foot size was comparable with unaffected foot during the bracing duration and size comparability was maintained even after bracing protocol of 3 years was over.

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Khan, Asif Z., N. I. Singh, S. B. Hasan, S. N. Sinha, and M. Zaheer. "Anthropometric Measurements in Rural School Children." Journal of the Royal Society of Health 110, no. 5 (October 1990): 184–86. http://dx.doi.org/10.1177/146642409011000512.

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Shireen, Sidra, and Vrushali P. Karadkhelkar. "ANTHROPOMETRIC MEASUREMENTS OF HUMAN EXTERNAL EAR." Journal of Evolution of Medical and Dental Sciences 4, no. 59 (July 22, 2015): 10333–38. http://dx.doi.org/10.14260/jemds/2015/1489.

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Heymsfield, S. B. "Anthropometric Measurements: Application in Hospitalized Patients." Transfusion Medicine and Hemotherapy 17, no. 3 (1990): 48–51. http://dx.doi.org/10.1159/000222552.

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Xu, Zhi, Qun Zhang, Feng Xu, Da Li, and Ru Zhang. "Anthropometric Measurements in 126 Microtia Reconstructions." Facial Plastic Surgery 29, no. 04 (July 24, 2013): 321–26. http://dx.doi.org/10.1055/s-0033-1349357.

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Altinli, Ediz, Emre Gorgun, Ilhan Karabicak, Cihan Uras, Hilal Unal, and Tarik Akcal. "Anthropometric Measurements in Male Breast Cancer." Obesity Surgery 12, no. 6 (December 1, 2002): 869–70. http://dx.doi.org/10.1381/096089202320995727.

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Feathers, David, Victor Paquet, and Colin Drury. "Effects of Level of Automation on Errors and Consistency in Two- and Three-Dimensional Anthropometry." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 13 (September 2002): 1215–19. http://dx.doi.org/10.1177/154193120204601344.

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This study investigated some potential sources of error, and their consequences, across different types of anthropometric measurement methods. The measurement methods included use of traditional anthropometric instruments, as well as two versions of an electromechanical approach that recorded three-dimensional locations of body parts. Several errors were hypothesized to be from aspects related to human information processing and their interaction with differing methods. Measurements obtained with the traditional approach and two versions of the electromechanical approach were then compared for two experienced anthropometrists who each took 72 measurements on a cadaveric forearm while it was clothed and unclothed. ANOVA demonstrated that there were differences in measurement consistency between individuals, measurement methods and clothing conditions. This study was an initial attempt to investigate the potential sources of error within anthropometric measurements via focusing on the information presented to the measurer and the application of this information to the consistency of measurement. The findings provide information about the causes of error and the saviors of consistency.

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Loures, Fabrício Bolpato, Renato Janetti Carrara, Rogério Franco de Araújo Góes, Rodrigo Sattamini Pires e. Albuquerque, João Maurício Barretto, André Kinder, Vinicius Schott Gameiro, and Edson Marchiori. "Anthropometric study of the knee in patients with osteoarthritis: intraoperative measurement versus magnetic resonance imaging." Radiologia Brasileira 50, no. 3 (June 2017): 170–75. http://dx.doi.org/10.1590/0100-3984.2016.0007.

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Abstract Objective: To compare intraoperative measurements of the knee with those obtained by magnetic resonance imaging, in order to validate the latter method for use in anthropometric studies. Materials and Methods: We studied 20 knees in 20 patients with osteoarthritis, all of whom underwent total arthroplasty between August and December of 2013. We took six measurements in the distal femur and two in the proximal tibia. Using the information system of the institution, we made the measurements on magnetic resonance imaging scans that had been obtained in the axial plane. Intraoperative measurements were obtained using a caliper, after the initial cuts made during the arthroplasty. The anatomical parameters determined by magnetic resonance imaging were the same as those determined by intraoperative measurement. The intraclass correlation coefficient was used in order to assess the level of agreement in anthropometric measurements of the knee performed by magnetic resonance imaging and by intraoperative measurement. Results: Statistical analysis revealed a highly significant correlation between the knee anthropometric parameters of the knee determined by intraoperative measurement and those determined by magnetic resonance imaging. Conclusion: The dimensions of osteoarthritic knees measured by magnetic resonance imaging were similar to those measured intraoperatively. Therefore, magnetic resonance imaging can be considered a reliable method for use in large-scale anthropometric studies that will allow the available implants to be adapted and improved.

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Hassan, Nayera E., Sahar A. El-Masry, Salwa M. Elshebini, Muhamed Al-Tohamy, Nihad H. Ahmed, Enas Abdel Rasheed, Gamila SM El-Saeed, Nagwa M. Hassan, Emad N. Zikri, and Mohamed S. El Hussieny. "Comparison of Three Protocols: Dietary Therapy and Physical Activity, Acupuncture, or Laser Acupuncture in Management of Obese Females." Open Access Macedonian Journal of Medical Sciences 2, no. 2 (April 16, 2014): 191–97. http://dx.doi.org/10.3889/oamjms.2014.030.

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AIM: The aim of this study was to compare efficiency of three types of obesity management protocols: dietary measures and physical activity; acupuncture or laser acupuncture with healthy diet among obese females.SUBJECTS AND METHODS: Randomized longitudinal prospective study, carried out on 76 adult females. Blood pressure, anthropometric, ultrasonographic and biochemical assessments were done.RESULTS: Females undergo nutritional intervention showed highly significant improvement in the anthropometric measurements, visceral fat at umbilicus by US and diastolic blood pressure (decreased), and insignificant differences in fasting blood sugar and lipid profile. Female undergo acupuncture intervention showed highly significant improvement in visceral fat by US, lipid profile (decreased triglycerides, total cholesterol and LDL, and increased HDL), and decreased fasting blood sugar, and insignificant differences in the anthropometric measurements. Those undergo laser intervention showed highly significant improvement in all anthropometric measurements under study, visceral fat at umbilicus by US, blood pressure and some parameters of lipid profile (decreased total cholesterol and LDL). CONCLUSIONS: Nutritional intervention alone could be used to reduce weight if the lipid profile within normal range, but if it is impaired, acupuncture should be used beside. To strength the reduction in body anthropometry, laser intervention was recommended beside the nutritional intervention.

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Tonak, Hasan Atacan, Ozgun Kaya Kara, and Sedef Sahin. "Correlation of hand functionality and grip strengths with anthropometric measurements." Work 69, no. 1 (May 26, 2021): 187–95. http://dx.doi.org/10.3233/wor-213468.

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BACKGROUND: Using objective anthropometric measurement data and anthropometric ratios, grip strength and hand functionality can be evaluated. OBJECTIVE: The aim of this study was to obtain anthropometric measurements regarding the forearm and hand, to evaluate the hand functionality in addition to hand and finger grip strengths, and to investigate the correlation between these values. METHODS: One-hundred eight-four subjects between 18 and 25 years were included in the study. Forearm and hand anthropometric measurements and ratios were measured. Hand and lateral grip strengths were evaluated. Jebsen Taylor Hand Function Test (JTHFT) was used to assess hand functionality. RESULTS: A statistically weak and consistently negative correlation between the ratios of forearm length to forearm/wrist circumferences and the ratio of hand length to metacarpal head circumference and hand-lateral grip strengths was found. There was a statistically weak and consistently negative correlation between these ratios and the subtests of JTHFT. It was shown that there was a statistically weak–moderate positive correlation between the hand-lateral grip strengths and JTHFT subtests. CONCLUSIONS: In conclusion, when evaluating grip strength and hand functionality, forearm and hand anthropometric measurements and ratios, which could affect the results, should be considered.

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S, Sangeetha, and Anisha B. "ANTHROPOMETRIC MEASUREMENTS OF HUMAN EAR LOBULE IN ADULT STUDENT POPULATION." International Journal of Anatomy and Research 5, no. 2.2 (May 31, 2017): 3784–87. http://dx.doi.org/10.16965/ijar.2017.175.

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Yahya, Mohd Shahir, Thiyagu Palaniandy, Noor Yasmin Zainun, and Musli Mohammad. "Development of Malaysian Primary School Children Anthropometrics Data for Designing School Furniture Parameters." Applied Mechanics and Materials 465-466 (December 2013): 1191–95. http://dx.doi.org/10.4028/www.scientific.net/amm.465-466.1191.

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This paper explains the measurement of anthropometricdimensions ofprimary school children and investigation ofrisk factors associated with musculoskeletal disorders (MSDs) among primary school children. A total of 266 students within three different schools were participated in anthropometric data measurements and questionnaire survey of the MSDs prevelance complain among them. Ten anthropometric measurements (Stature, Sitting height, Sitting shoulder height, Popliteal height, Hip breadth, Elbow seat height, Buttock-popliteal length, Buttock-knee length, Thigh clearance and Weight) were used. Martin type anthropometer set, height scale and weighing scale were used as a direct measurement method for the data collection on this study. Musculoskeletal symptoms were recorded using Modified Nordic Body Map Questionnaires. In addition Rapid Upper Limb Assessment (RULA) was used to assess the awkward posture of the school children for both designs. The results of the proposed furniture shows a better RULA final score for each group of muscles which give a score ranging from only 1 to 2 (Acceptable Posture) compared to the existing furniture that need further investigation. This anthropometrics data is very useful to the furniture manufacturer in designing school furniture in order to reduce the mismatch between furniture designed and Malaysian primary school children.

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Cloutier, Aimee, Jared Gragg, and James Yang. "Probabilistic sensitivity analysis of in-vehicle reach tasks for digital human models considering anthropometric measurement uncertainty." Robotica 33, no. 3 (March 5, 2014): 498–512. http://dx.doi.org/10.1017/s0263574714000381.

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SUMMARYFor design using digital human models, human anthropometry data are required as input and are extracted from measurements. There is inherent error associated with these measurements which impacts the output of the simulation. Current techniques in digital human modeling applications primarily employ deterministic methods which are not well suited for handling variability in anthropometric measurement. An alternative to deterministic methods is probabilistic/sensitivity analysis. This study presents a probabilistic sensitivity approach to gain insights into how uncertainty in anthropometric measurements can affect the results of a digital human model with the specific application of vehicle-related reach tasks. Sensitivity levels are found to determine the importance of variability in each joint angle and link length to the final reach. A55-degree of freedom (DOF) digital human model is introduced to demonstrate the sensitivity approach for reach tasks. Seven right-hand reach target points and two left-hand reach target points (creating a total of 14 reach tasks) within a vehicle are used to compare the sensitivities in the joint angles and link lengths resulting from measurement uncertainty. The results show that the importance of each joint angle or link length is dependent on the characteristics of the reach task and sensitivities for joint angles, and link lengths are different for each reach task.

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George, Nicole C., Charles Kahelin, Timothy A. Burkhart, and David M. Andrews. "Reliability of Head, Neck, and Trunk Anthropometric Measurements Used for Predicting Segment Tissue Masses in Living Humans." Journal of Applied Biomechanics 33, no. 5 (October 1, 2017): 373–78. http://dx.doi.org/10.1123/jab.2016-0122.

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Soft and rigid tissue mass prediction equations have been previously developed and validated for the segments of the upper and lower extremities in living humans using simple anthropometric measurements. The reliability of these measurements has been found to be good to excellent for all measurement types (segment lengths, circumferences, breadths, skinfolds). However, the reliability of the measurements needed to develop corresponding equations for the head, neck, and trunk has yet to be determined. The purpose of this study was to quantify the inter- and intrameasurer reliability of 34 surface anthropometric measurements of the head, neck, and trunk segments. Measurements (11 lengths, 7 circumferences, 11 breadths, 5 skinfolds) were taken twice separately on 50 healthy, university-age individuals using standard anthropometric tools. The mean inter- and intrameasurer measurement differences were fairly small overall, with 64.7% and 67.6% of the relative differences less than 5%, respectively. All measurements, except for the right lateral trunk, had intraclass correlation coefficients (ICCs) greater than 0.75, and coefficients of variation (CVs) less than 10%, indicating good reliability overall. These results are consistent with previous work for the extremities and provide support for the use of the defined surface measurements for future tissue mass prediction equation development.

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Mirzaii-Dizgah, Iraj, Boshra Jamshidpour, Behrouz Attarbashi Moghadam, Behnoosh Vasaghi-Gharamaleki, and Mostafa Nejatian. "The Effects of Phase III Cardiac Rehabilitation in Serum and Salivary Hs-CRP and Anthropometric Measurements in Patients with Coronary Artery Disease." Journal of Contemporary Dental Practice 14, no. 5 (2013): 819–24. http://dx.doi.org/10.5005/jp-journals-10024-1409.

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ABSTRACT Aim Cardiac rehabilitation is a key part in the treatment of coronary artery disease (CAD) by its anti-inflammatory effects. However, the effect of exercise training programs on salivary concentrations of high-sensitivity C-reactive protein (hs-CRP) in patients with coronary artery disease has not been well studied. The objective of this study was to evaluate the effect of phase III cardiac rehabilitation on serum and salivary levels of hs-CRP, in relation to the anthropometric measurements of obesity and the relationship between salivary and serum levels of hs-CRP in CAD male patients. Materials and methods Forty male volunteers (45-75 years) with CAD participated in 6 to 8 weeks of moderate intensity aerobic exercise training consisting of 45 minutes sessions of treadmill, stationary bicycle and arm ergometer. Anthropometric measurements of obesity, serum level of hs-CRP, stimulated and nonstimulated salivary level of hs-CRP were measured at the beginning, in the middle and at the end of exercise sessions. Results All anthropometric measurements increased (p < 0.05) following cardiac rehabilitation except waist-hip ratio. Serum hs-CRP level reduced by 36% independent to the anthropometric measurements changes. Stimulated and nonstimulated salivary hs-CRP level decreased 68 and 54%, respectively, after 24 sessions of cardiac rehabilitation. Nonstimulated salivary hs-CRP levels correlated to serum levels of hs-CRP at baseline and after 24 sessions (p < 0.05). Conclusion Phase III cardiac rehabilitation seems to be effective to improve serum and salivary hs-CRP concentrations independent of anthropometric measurements. Clinical significance Nonstimulated salivary hs-CRP measurement could be a surrogate for blood measurement of hs-CRP during cardiac rehabilitation in male patients with CAD. How to cite this article Jamshidpour B, Moghadam BA, Vasaghi-Gharamaleki B, Mirzaii-Dizgah I, Nejatian M. The Effects of Phase III Cardiac Rehabilitation in Serum and Salivary Hs-CRP and Anthropometric Measurements in Patients with Coronary Artery Disease. J Contemp Dent Pract 2013;14(5):819-824.

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McNeil, Jessica, Mohamed M. Mamlouk, Karine Duval, Alexander Schwartz, Nelson Nardo Junior, and Éric Doucet. "Alterations in Metabolic Profile Occur in Normal-Weight and Obese Men during the Ramadan Fast Despite No Changes in Anthropometry." Journal of Obesity 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/482547.

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We examined the variations in eating behavior, appetite ratings, satiety efficiency, energy expenditure, anthropometric and metabolic profile markers prior to, during as well as 1 and 4 months after Ramadan in normal-weight and obese men. Anthropometric, energy expenditure (indirect calorimetry and accelerometry), metabolic (fasting blood sample), appetite (visual analogue scales), and eating behavior (Three-Factor Eating Questionnaire) measurements were performed in 10 normal-weight (age: 25.2 ± 4.7 years; BMI: 24.4 ± 1.9 kg/m2) and 10 obese (age: 27.0 ± 4.5 years; BMI: 34.8 ± 3.7 kg/m2) men. The satiety quotient (SQ) was calculated 180 minutes after breakfast consumption. All anthropometric variables, as well as resting and total energy expenditure, were greater in obese compared to normal-weight participants (P = 0.02–0.0001). Similarly, obese participants had greater triglycerides, insulin, and homeostatic model assessment-insulin resistance concentrations (P = 0.02–0.002). Greater apolipoprotein B, glucose, total cholesterol, and low-density lipoprotein concentrations were noted during Ramadan (P = 0.04–0.0001). Dietary restraint scores were also greater during Ramadan (P=0.0001). No differences in anthropometry, other metabolic profile markers, energy expenditure, appetite ratings, and SQ were noted across sessions. Lastly, changes in anthropometric measurements correlated with delta metabolic profile markers, as well as changes in disinhibition eating behavior trait and dietary restraint scores. The Ramadan fast led to increases in certain metabolic profile markers despite no changes in appetite and anthropometry.

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Islam, MT, and M. Rokonozaman. "Anthropometric measurement - An easy approach for evaluation of obesity." Bangladesh Medical Journal 42, no. 1 (May 26, 2014): 25–27. http://dx.doi.org/10.3329/bmj.v42i1.18976.

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Now a days obesity is a burden worldwide. The prevalence of obesity is increasing in both the developed and developing countries. To investigate the anthropometric measurement in obesity. This cross study was carried out in the Department of Physiology, Mymensingh Medical College, Mymensingh, Bangladesh. Inclusion and exclusion criteria are strictly maintained for selection of study and control groups. Anthropometric measurements were performed in 150 cases of overweight and obese. BMI, WC, WHR, blood pressure were high in obese group. Obesity affects various anthropometric measurements and may be used to routinely evaluate obese patients. DOI: http://dx.doi.org/10.3329/bmj.v42i1.18976 Bangladesh Med J. 2013 Jan; 42 (1): 25-27

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Arbel, Yaron, Edo Y. Birati, Itzhak Shapira, Talya Finn, Shlomo Berliner, and Ori Rogowski. "Comparison of Different Anthropometric Measurements and Inflammatory Biomarkers." International Journal of Inflammation 2012 (2012): 1–5. http://dx.doi.org/10.1155/2012/124693.

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Introduction.Different anthropometric variables have been shown to be related to cardiovascular morbidity and mortality. Our aim was to compare the association between different anthropometric measurements and inflammatory status.Methods and results.A cross-sectional study design in which we analyzed the data collected during a five-year period in the Tel Aviv Medical Center Inflammation Survey (TAMCIS). Included in the study were 13,033 apparently healthy individuals at a mean (SD) age of 43. Of these, 8,292 were male and 4,741 female. A significant age-adjusted and multiple-adjusted partial correlation was noted between all anthropometric measurements and all inflammatory biomarkers. There was no significant difference in the correlation coefficients between different biomarkers and anthropometric variables.Conclusion.Most of the common used anthropometric variables are similarly correlated with inflammatory variables. The clinician can choose the variable that he/she finds easiest to use.

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Journal articles on the topic 'Anthropometric measurements'

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