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Journal articles on the topic 'Anthropometric measures'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Zhang, Jie, Anja Olsen, Jytte Halkjær, et al. "Self-reported and measured anthropometric variables in association with cardiometabolic markers: A Danish cohort study." PLOS ONE 18, no. 7 (2023): e0279795. http://dx.doi.org/10.1371/journal.pone.0279795.

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General obesity is a recognized risk factor for various metabolically related diseases, including hypertension, dyslipidemia, and pre-diabetes. In epidemiological studies, anthropometric variables such as height and weight are often self-reported. However, misreporting of self-reported data may bias estimates of associations between anthropometry and health outcomes. Further, few validation studies have compared self-reported and measured waist circumference (WC). This study aimed to quantify the agreement between self-reported and measured height, weight, body mass index (BMI), WC, and waist-

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2

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 (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

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3

Ulijaszek, Stanley J., and Deborah A. Kerr. "Anthropometric measurement error and the assessment of nutritional status." British Journal of Nutrition 82, no. 3 (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 er

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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 (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 (2013): 1683. http://dx.doi.org/10.1007/s00394-013-0550-6.

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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 (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

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Giudicelli, Bruno B., Leonardo G. O. Luz, Mustafa Sogut, et al. "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 (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 perfo

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Pugh, Sarah J., Ana M. Ortega-Villa, William Grobman, et al. "Longitudinal changes in maternal anthropometry in relation to neonatal anthropometry." Public Health Nutrition 22, no. 5 (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–

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Branković, Dragan, Vladan Pelemiš, Filip Kojić, Vladimir Živanović, and Sandra Milanović. "Physical fitness in 10-year old children: Relationship between anthropometric measures and motor abilities." Fizicka kultura, no. 00 (2024): 2. http://dx.doi.org/10.5937/fk77-49160.

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The study aimed to comprehensively investigate associations between anthropometric features and motor abilities in young school-age children. The sample included 285 students (140 boys and 145 girls, aged 10.44 ± 0.33 years). Sex differences in the anthropometric and motor variables were determined by an independent t-test, while multiple linear regression was used to examine whether anthropometric characteristics could predict motor test scores. Girls were significantly taller, with greater sitting height, leg and arm length, as well as hip width. Also, greater body mass and skinfold thicknes

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Wong, Julielynn Y., Albert K. Oh, Eiichi Ohta, et al. "Validity and Reliability of Craniofacial Anthropometric Measurement of 3D Digital Photogrammetric Images." Cleft Palate-Craniofacial Journal 45, no. 3 (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 anthro

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11

Gupta, Priya M., Kasthuri Sivalogan, Richard Oliech, et al. "Impact of anthropometry training and feasibility of 3D imaging on anthropometry data quality among children under five years in a postmortem setting." PLOS ONE 18, no. 9 (2023): e0292046. http://dx.doi.org/10.1371/journal.pone.0292046.

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Background The Child Health and Mortality Prevention Surveillance Network (CHAMPS) identifies causes of under-5 mortality in high mortality countries. Objective To address challenges in postmortem nutritional assessment, we evaluated the impact of anthropometry training and the feasibility of 3D imaging on data quality within the CHAMPS Kenya site. Design Staff were trained using World Health Organization (WHO)-recommended manual anthropometry equipment and novel 3D imaging methods to collect postmortem measurements. Following training, 76 deceased children were measured in duplicate and were

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Lin, Chin Lun, Bluyé DeMessie, Kenny Ye, Shanshan Hu, and Michael L. Lipton. "Neck strength alone does not mitigate adverse associations of soccer heading with cognitive performance in adult amateur players." PLOS ONE 19, no. 5 (2024): e0302463. http://dx.doi.org/10.1371/journal.pone.0302463.

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Objectives Soccer heading is adversely associated with neurocognitive performance, but whether greater neck strength or anthropometrics mitigates these outcomes is controversial. Here, we examine the effect of neck strength or anthropometrics on associations of soccer heading with neurocognitive outcomes in a large cohort of adult amateur players. Methods 380 adult amateur league soccer players underwent standardized measurement of neck strength (forward flexion, extension, left lateral flexion, right lateral flexion) and head/neck anthropometric measures (head circumference, neck length, neck

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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 (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

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Gómez-Carrascosa, Inmaculada, María L. Sánchez-Ferrer, Ernesto de la Cruz-Sánchez, et al. "Analysis and Reliability of Anthropometric Measurements during Pregnancy: A Prospective Cohort Study in 208 Pregnant Women." Journal of Clinical Medicine 10, no. 17 (2021): 3933. http://dx.doi.org/10.3390/jcm10173933.

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Anthropometric assessment during pregnancy is a widely used, low-technology procedure that has not been rigorously evaluated. Our objective is to investigate fat mass distribution during pregnancy by examining changes in anthropometrics measures, in order to evaluate the reliability of these measures. An observational, longitudinal, prospective cohort study was performed in 208 pregnant women. Anthropometric measurements were taken following the ISAK protocol during the three trimesters and a generalized linear model for repeated measures was used to evaluate differences. Variability was asses

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Šram, Miroslav, Zvonimir Vrselja, Igor Lekšan, Goran Ćurić, Kristina Selthofer-Relatić, and Radivoje Radić. "Epicardial Adipose Tissue Is Nonlinearly Related to Anthropometric Measures and Subcutaneous Adipose Tissue." International Journal of Endocrinology 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/456293.

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Introduction. Adipose tissue is the largest endocrine organ, composed of subcutaneous (SAT) and visceral adipose tissue (VAT), the latter being highly associated with coronary artery disease (CAD). Expansion of epicardial adipose tissue (EAT) is linked to CAD. One way of assessing the CAD risk is with low-cost anthropometric measures, although they are inaccurate and cannot discriminate between VAT and SAT. The aim of this study is to evaluate (1) the relationship between EAT thickness, SAT thickness and anthropometric measures in a cohort of patients assessed at the cardiology unit and (2) de

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Ye, Ming, Paula J. Robson, Dean T. Eurich, Jennifer E. Vena, Jian-Yi Xu, and Jeffrey A. Johnson. "Anthropometric changes and risk of diabetes: are there sex differences? A longitudinal study of Alberta’s Tomorrow Project." BMJ Open 9, no. 7 (2019): e023829. http://dx.doi.org/10.1136/bmjopen-2018-023829.

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ObjectivesTo characterise the sex-specific difference in the association between anthropometric changes and risk of diabetes in the general population in Canada.Setting and participantsFrom 2000 to 2008, Alberta’s Tomorrow Project (ATP) invited Alberta’s residents aged 35–69 years to a prospective cohort study. A total of 19 655 diabetes-free ATP participants having anthropometrics measured at the baseline and follow-ups were included.Design and outcome measuresA longitudinal study design was used to examine the association between anthropometric changes and risk of diabetes and the sex differ

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17

Garimella, Raman, Thomas Peeters, Eduardo Parrilla, et al. "Estimating Cycling Aerodynamic Performance Using Anthropometric Measures." Applied Sciences 10, no. 23 (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

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18

Barnett, Lisa M., Avigdor Zask, Lauren Rose, Denise Hughes, and Jillian Adams. "Three-Year Follow-Up of an Early Childhood Intervention: What About Physical Activity and Weight Status?" Journal of Physical Activity and Health 12, no. 3 (2015): 319–21. http://dx.doi.org/10.1123/jpah.2013-0419.

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Background:Fundamental movement skills are a correlate of physical activity and weight status. Children who participated in a preschool intervention had greater movement skill proficiency and improved anthropometric measures (waist circumference and BMI z scores) post intervention. Three years later, intervention girls had retained their object control skill advantage. The study purpose was to assess whether at 3-year follow up a) intervention children were more physically active than controls and b) the intervention effect on anthropometrics was still present.Methods:Children were assessed at

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Overend, Tom J., David A. Cunningham, Donald H. Paterson, and Michael S. Lefcoe. "Anthropometric and Computed Tomographic Assessment of the Thigh in Young and Old Men." Canadian Journal of Applied Physiology 18, no. 3 (1993): 263–73. http://dx.doi.org/10.1139/h93-023.

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Anthropometric (AP) and computed tomographic (CT) methods of determining limb and muscle-plus-bone cross-sectional area (CSA) and volume (Vol) were compared in 13 young (M = 24.5 yrs) and 11 old (M = 71.0 yrs) men. CSA of total thigh, muscle-plus-bone, quadriceps, and hamstring muscle compartments and muscle were measured from CT scans. Corresponding muscle Vol were estimated from anthropometric equations. Prediction equations for CT measures were developed from AP measures using multiple linear regression. AP and CT techniques produced different values for thigh component CSA and Vol, especia

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20

Nadadur, Gopal, and Matthew B. Parkinson. "Extrapolation of Anthropometric Measures to New Populations." SAE International Journal of Passenger Cars - Electronic and Electrical Systems 1, no. 1 (2008): 567–73. http://dx.doi.org/10.4271/2008-01-1858.

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21

Chen, L.-W., M.-T. Tint, M. V. Fortier, et al. "Which anthropometric measures best reflect neonatal adiposity?" International Journal of Obesity 42, no. 3 (2017): 501–6. http://dx.doi.org/10.1038/ijo.2017.250.

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22

Gross, Michael T., Ennea S. Dailey, Melissa D. Dalton, et al. "Relationship Between Lifting Capacity and Anthropometric Measures." Journal of Orthopaedic & Sports Physical Therapy 30, no. 5 (2000): 237–62. http://dx.doi.org/10.2519/jospt.2000.30.5.237.

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23

Arbogast, K. B., S. Mari-Gowda, E. Houseknecht, and D. A. Mong. "Anthropometric measures of pediatric seat belt fit." Journal of Biomechanics 39 (January 2006): S159. http://dx.doi.org/10.1016/s0021-9290(06)83547-5.

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Gallwey, T. J., and M. J. Fitzgibbon. "Some anthropometric measures on an Irish population." Applied Ergonomics 22, no. 1 (1991): 9–12. http://dx.doi.org/10.1016/0003-6870(91)90003-z.

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Uhlig, Till, Lars Fridtjof Karoliussen, Joseph Sexton, Tore K. Kvien, Espen A. Haavardsholm, and Hilde Berner Hammer. "Lifestyle factors predict gout outcomes: Results from the NOR-Gout longitudinal 2-year treat-to-target study." RMD Open 9, no. 4 (2023): e003600. http://dx.doi.org/10.1136/rmdopen-2023-003600.

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ObjectiveGout is associated with lifestyle, body mass index (BMI) and comorbidities, including dyslipidaemia. We studied how in actively treated patients, anthropometric measures and lipid levels changed over 2 years and whether they predicted gout outcomes.MethodsPatients with a recent gout flare and elevated serum urate (sUA) received gout education and treat-to-target urate-lowering therapy over 1 year. Anthropometric measures with BMI, waist circumference (WC) and waist–height ratio (WHR) as well as lipid levels were measured yearly over 2 years. We examined whether baseline anthropometric

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Closs, Vera Elizabeth, Patricia Klarmann Ziegelmann, João Henrique Ferreira Flores, Irenio Gomes, and Carla Helena Augustin Schwanke. "Anthropometric Measures and Frailty Prediction in the Elderly: An Easy-to-Use Tool." Current Gerontology and Geriatrics Research 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/8703503.

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Purpose. Anthropometry is a useful tool for assessing some risk factors for frailty. Thus, the aim of this study was to verify the discriminatory performance of anthropometric measures in identifying frailty in the elderly and to create an easy-to-use tool. Methods. Cross-sectional study: a subset from the Multidimensional Study of the Elderly in the Family Health Strategy (EMI-SUS) evaluating 538 older adults. Individuals were classified using the Fried Phenotype criteria, and 26 anthropometric measures were obtained. The predictive ability of anthropometric measures in identifying frailty wa

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Correia, Igor Massari, Anderson Marliere Navarro, Jéssica Fernanda Corrêa Cordeiro, et al. "Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models." International Journal of Environmental Research and Public Health 19, no. 19 (2022): 12336. http://dx.doi.org/10.3390/ijerph191912336.

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People living with HIV (PWH) experience an accelerated reduction in bone mineral content (BMC), and a high risk of osteopenia and osteoporosis. Anthropometry is an accurate and low-cost method that can be used to monitor changes in body composition in PWH. To date, no studies have used anthropometry to estimate BMC in PWH. To propose and validate sex-specific anthropometric models to predict BMC in PWH. This cross-sectional study enrolled 104 PWH (64 males) aged >18 years at a local university hospital. BMC was measured using dual energy X-ray absorptiometry (DXA). Anthropometric measures w

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Reese, Tyler O., Pascal Bovet, Candice Choo-Kang, et al. "Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition." PLOS Global Public Health 2, no. 5 (2022): e0000127. http://dx.doi.org/10.1371/journal.pgph.0000127.

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The Pulvers’ silhouette showcards provide a non-invasive and easy-to-use way of assessing an individual’s body size perception using nine silhouette shapes. However, their utility across different populations has not been examined. This study aimed to assess: 1) the relationship between silhouette perception and measured anthropometrics, i.e., body mass index (BMI), waist circumference (WC), waist-height-ratio (WHtR), and 2) the ability to predict with silhouette showcards anthropometric adiposity measures, i.e., overweight and obesity (BMI ≥ 25 kg/m2), obesity alone (BMI ≥ 30 kg/m2), elevated

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Zaki, Moushira Erfan. "Effects of Whole Body Vibration and Resistance Training on Bone Mineral Density and Anthropometry in Obese Postmenopausal Women." Journal of Osteoporosis 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/702589.

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Objective. The aim of this study was to evaluate the impact of two exercise programs, whole body vibration and resistance training on bone mineral density (BMD) and anthropometry in obese postmenopausal women.Material and Methods. Eighty Egyptian obese postmenopausal women were enrolled in this study; their age ranged from 50 to 68 years. Their body mass index ranged (30–36 kg/m2). The exercise prescription consisted of whole body vibration (WBV) and resistance training. Bone mineral density (BMD) and anthropometrical parameters were measured at the beginning and at the end of the study. Chang

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Masood, Ahmed, Bachayo Rajar Allah, Bhatti Mahwish, Zakaria Muhammad, H. Rajput Aatir, and Muneeb Nisar Muhammad. "Evaluation of nutritional deficits among adolescents in Tando Muhammad Khan district via anthropometric measures." International Journal of Endorsing Health Science Research 7, no. 2 (2019): 86–92. https://doi.org/10.29052/IJEHSR.v7.i2.2019.86-92.

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Abstract <strong>Background:</strong> Researchers have long struggled to devise adequate measures that can be used to assess nutritional status. Apart from the ongoing debate, the most recommended indicator for identification of nutritional imbalances is anthropometry. The aim of the study was to assess the association of anthropometric measures with nutritional status among the children. <strong>Methodology:</strong> This cross-sectional, observational study was conducted from February to September 2018 upon the children from grade 5-8. A total of 264 children were selected via non-

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Sumpor, Davor. "Anthropometric measures important for control panel design in locomotive or railcar." Tehnicki vjesnik - Technical Gazette 22, no. 1 (2015): 1–10. http://dx.doi.org/10.17559/tv-20140206135045.

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Suman, Shradha, Bhaskar Saha, Shishir Kumar Mahato, and Aditya Ranjan Das. "Correlation Between Incidence of Sleep Apnoea and Obesity Using Anthropometric Measures." SSR Institute of International Journal of Life Sciences 10, no. 3 (2024): 5511–15. http://dx.doi.org/10.21276/ssr-iijls.2024.10.3.16.

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Schulz, Samantha, and Susan Gordon. "Riding position and lumbar spine angle in recreational cyclists: A pilot study." International Journal of Exercise Science 3, no. 4 (2010): 174–81. http://dx.doi.org/10.70252/upih4143.

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This pilot study investigated the reliability of an inclinometer to assess lumbar spine angle in three different cycling positions, and explored the relationship between lumbar spine angle and riding position, anthropometry, bike measures and low back pain (LBP). Cyclists were recruited from two cycle clubs. Anthropometric variables and bike set-up were measured before participants’ bikes were secured in a wind trainer. Cyclists then adopted three positions for riding, upright on the handlebars, on the brake levers and on the drops, according to a random allocation. The angle of the lumbar spi

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Tian, Yu-Feng, Chi-Hong Chu, Mei-Hsuan Wu, et al. "Anthropometric measures, plasma adiponectin, and breast cancer risk." Endocrine-Related Cancer 14, no. 3 (2007): 669–77. http://dx.doi.org/10.1677/erc-06-0089.

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Adiponectin is a peptide hormone secreted exclusively by adipocytes, and obesity is an established risk factor for breast cancer. We have, thus, evaluated the associations of anthropometric measures of adiposity and adiponectin with the development of breast cancer in a case–control study. Questionnaire information, anthropometric measures, and blood samples were taken before treatment from 244 incident cases with breast cancer, including 141 premenopausal and 103 postmenopausal cases, and 244 controls admitted for health examination at the Tri-Service General Hospital, Taipei between 2004 and

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Navaneethan, Sankar D., John P. Kirwan, Susana Arrigain, Martin J. Schreiber, Mark J. Sarnak, and Jesse D. Schold. "Obesity, Anthropometric Measures and Chronic Kidney Disease Complications." American Journal of Nephrology 36, no. 3 (2012): 219–27. http://dx.doi.org/10.1159/000341862.

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Farber, Scott J., Dennis C. Nguyen, Gary B. Skolnick, Sybill D. Naidoo, Matthew D. Smyth, and Kamlesh B. Patel. "Anthropometric Outcome Measures in Patients With Metopic Craniosynostosis." Journal of Craniofacial Surgery 28, no. 3 (2017): 713–16. http://dx.doi.org/10.1097/scs.0000000000003495.

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Moser, Deise Cristiane, Isabela de Carlos Back Giuliano, Ana Cláudia Kapp Titski, Anelise Reis Gaya, Manuel João Coelho-e-Silva, and Neiva Leite. "Anthropometric measures and blood pressure in school children." Jornal de Pediatria (Versão em Português) 89, no. 3 (2013): 243–49. http://dx.doi.org/10.1016/j.jpedp.2012.11.003.

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Kimmel, P. L. "Anthropometric measures, cytokines and survival in haemodialysis patients." Nephrology Dialysis Transplantation 18, no. 2 (2003): 326–32. http://dx.doi.org/10.1093/ndt/18.2.326.

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Hunsaker, Darrell H., and Robert H. Riffenburgh. "Impact of Snoring on Anthropometric Measures of OSA." Otolaryngology–Head and Neck Surgery 137, no. 2 (2007): 362–63. http://dx.doi.org/10.1016/j.otohns.2007.05.004.

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Moser, Deise Cristiane, Isabela de Carlos Back Giuliano, Ana Cláudia Kapp Titski, Anelise Reis Gaya, Manuel João Coelho-e-Silva, and Neiva Leite. "Anthropometric measures and blood pressure in school children." Jornal de Pediatria 89, no. 3 (2013): 243–49. http://dx.doi.org/10.1016/j.jped.2012.11.006.

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Harke, Shubhangi M., Suresh P. Khadke, Abhijit A. Ghadge, et al. "Adipocytokines and anthropometric measures in type 2 diabetics." Diabetes & Metabolic Syndrome: Clinical Research & Reviews 11 (November 2017): S273—S276. http://dx.doi.org/10.1016/j.dsx.2016.12.043.

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42

Burgess, Helen A. "Anthropometric Measures as a Predictor of Cephalopelvic Disproportion." Tropical Doctor 27, no. 3 (1997): 135–38. http://dx.doi.org/10.1177/004947559702700305.

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Arslan, Alan A. "Anthropometric Measures, Body Mass Index, and Pancreatic Cancer." Archives of Internal Medicine 170, no. 9 (2010): 791. http://dx.doi.org/10.1001/archinternmed.2010.63.

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Lund, Eiliv, Hans-Olov Adami, Reinhold Bergstr�m, and Olav Meirik. "Anthropometric measures and breast cancer in young women." Cancer Causes and Control 1, no. 2 (1990): 169–72. http://dx.doi.org/10.1007/bf00053169.

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Edefonti, Alberto, Marina Picca, Beatrice Damiani, et al. "Prevalence of Malnutrition Assessed by Bioimpedance Analysis and Anthropometry in Children on Peritoneal Dialysis." Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 21, no. 2 (2001): 172–79. http://dx.doi.org/10.1177/089686080102100211.

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Objective To evaluate the sensitivity of anthropometry and bioelectrical impedance analysis (BIA) in detecting alterations in body composition of children treated with peritoneal dialysis (PD), and to determine the prevalence of malnutrition in this population, in short- and long-term PD duration, using anthropometric and BIA-derived indices. Patients Eighteen children treated with automated PD (11 males, 7 females; mean age 8.7 ± 4.7 years). Design Eighteen patients were studied using anthropometry and BIA at the start (t0) and after 6 months (t1) of PD, 15 of these patients at 12 months (t2)

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Gaskin, Pamela S., Peter Chami, Tamara Nancoo, Patricia Warner, Patrick Barrett, and Yvette Mayers. "Electronic based reported anthropometry—A useful tool for interim monitoring of obesity prevalence in developing states." PLOS ONE 15, no. 12 (2020): e0243202. http://dx.doi.org/10.1371/journal.pone.0243202.

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Background Wide participation in electronic surveys and reliable reporting of anthropometry can serve to reduce costs associated with monitoring of obesity among adolescents where resources are limited. We conducted a single school pilot study among Caribbean adolescents to assess use of electronic surveys and whether face to face encouragement could promote enrollment. In addition, we assessed students’ ability to reliably report simple anthropometry. Methods Students were provided with access to an electronic survey on anthropometry and food preferences regarding school-based food offerings.

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Ghosh, Arnab. "Discriminant analysis by anthropometric measures in elderly Bengalee Hindus of Calcutta, India." Anthropologischer Anzeiger 64, no. 1 (2006): 91–96. http://dx.doi.org/10.1127/anthranz/64/2006/91.

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Peng, Peng, Charlotte Clarke, Andri Iona, et al. "Patterns and Correlates of Bone Mineral Density Parameters Measured Using Calcaneus Quantitative Ultrasound in Chinese Adults." Nutrients 17, no. 5 (2025): 865. https://doi.org/10.3390/nu17050865.

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Background: Monitoring bone mineral density (BMD) in adults is critical for early detection of osteoporosis and prevention of fracture, for which quantitative ultrasound (QUS) is a good non-invasive tool. We examined the associations of QUS measures, including stiffness index (SI) and T-score, with socio-demographic, lifestyle, and anthropometric correlates and risk of subsequent fracture. Methods: Calcaneal QUS was performed using GE’s Lunar Achilles EXPII among 24,651 adults (mean age 59.5 years, 61.7% women) from the China Kadoorie Biobank study. Socio-demographic and lifestyle information

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Reddy, T. Deepa, and K. Anuradha. "Assessment of Nutritional Status and Anthropometry of Pre-School Children." Asian Pacific Journal of Health Sciences 9, no. 4 (2022): 301–4. http://dx.doi.org/10.21276/apjhs.2022.9.4.55.

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Child growth is internationally recognized as an important indicator of nutritional status and health in populations. Nutritional status of children is a proxy indicator for assessing the entire population health status and one of the major predictors of child survival. Anthropometry is the scientific study of body measurements and in expensive and non-invasive methods for assessing children’s developing patterns. The literature found relationship between the age, gender, and anthropometric measures of young children. The present study was conducted to understand the relationship among the age

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Elezi, Abdulla, Gresa Elezi, Seryozha Gontarev, and Georgi Georgiev. "Secular Trends in Anthropometric Characteristics and Health-Related Physical Fitness in Macedonian Children: the Makfit Studies." Teorìâ ta Metodika Fìzičnogo Vihovannâ 21, no. 1 (2021): 12–18. http://dx.doi.org/10.17309/tmfv.2021.1.02.

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The purpose of the present study was to analyze the secular trends in anthropometric characteristics and health-related physical fitness (i.e., flexibility, muscular strength and speed/agility) in Macedonian children between 2012 and 2019. Materials and methods. We analyzed the secular trends in anthropometric characteristics and health-related physical fitness in Macedonian children between 2012 and 2019. Two representative population studies were conducted 7 years apart in children (6-10 years) from Skopje (Mаcedonia). Both studies used the same anthropometric measures and tests to ass

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