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Journal articles on the topic 'Body indices'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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1

Dayal, H. H. "Body mass indices and body adiposity." American Journal of Public Health 77, no. 2 (1987): 240–41. http://dx.doi.org/10.2105/ajph.77.2.240-b.

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2

Smalley, K. J., A. N. Knerr, Z. V. Kendrick, J. A. Colliver, and O. E. Owen. "Reassessment of body mass indices." American Journal of Clinical Nutrition 52, no. 3 (1990): 405–8. http://dx.doi.org/10.1093/ajcn/52.3.405.

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3

James, W. P. T., Chen Chunming, and Shuji Inoue. "Appropriate Asian body mass indices?" Obesity Reviews 3, no. 3 (2002): 139. http://dx.doi.org/10.1046/j.1467-789x.2002.00063.x.

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4

Inoue, Yusuke, Hiroyasu Itoh, Kazunori Nagahara, Hirofumi Hata, and Kohei Mitsui. "Relationships of Radiation Dose Indices with Body Size Indices in Adult Body Computed Tomography." Tomography 9, no. 4 (2023): 1381–92. http://dx.doi.org/10.3390/tomography9040110.

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We investigated the relationships between radiation dose indices and body size indices in adult body computed tomography (CT). A total of 3200 CT scans of the thoracic, abdominal, abdominopelvic, or thoraco-abdominopelvic regions performed using one of four CT scanners were analyzed. Volume CT dose index (CTDIvol) and dose length product (DLP) were compared with various body size indices derived from CT images (water-equivalent diameter, WED; effective diameter, ED) and physical measurements (weight, weight/height, body mass index, and body surface area). CTDIvol showed excellent positive line
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5

TAKASAKI, Yuji, Shigeo NAKAKURA, and Sadamu ANZAI. "Preferable body build indices in children." Journal of Anthropological Society of Nippon 95, no. 4 (1987): 487–95. http://dx.doi.org/10.1537/ase1911.95.487.

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6

Depperschmidt, Jack D., Stephen C. Torbit, A. William Alldredge, and Robert D. Deblinger. "Body Condition Indices for Starved Pronghorns." Journal of Wildlife Management 51, no. 3 (1987): 675. http://dx.doi.org/10.2307/3801287.

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7

Pitcher, K. W., D. G. Calkins, and G. W. Pendleton. "STELLER SEA LION BODY CONDITION INDICES." Marine Mammal Science 16, no. 2 (2000): 427–36. http://dx.doi.org/10.1111/j.1748-7692.2000.tb00934.x.

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8

Labocha, Marta K., Heidi Schutz, and Jack P. Hayes. "Which body condition index is best?" Oikos 123, no. 1 (2014): 111–19. https://doi.org/10.5281/zenodo.13513337.

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(Uploaded by Plazi for the Bat Literature Project) Body condition indices are widely used by ecologists, but many indices are used without empirical validation. To test the validity of a variety of indices, we compared how well a broad range of body condition indices predicted body fat mass, percent body fat and residual fat mass in mice Mus musculus . We also compared the performance of these condition indices with the multiple regression of several morphometric variables on body fat mass, percent body fat and residual fat mass. In our study population, two ratio based condition indices – bod
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9

Labocha, Marta K., Heidi Schutz, and Jack P. Hayes. "Which body condition index is best?" Oikos 123, no. 1 (2014): 111–19. https://doi.org/10.5281/zenodo.13513337.

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(Uploaded by Plazi for the Bat Literature Project) Body condition indices are widely used by ecologists, but many indices are used without empirical validation. To test the validity of a variety of indices, we compared how well a broad range of body condition indices predicted body fat mass, percent body fat and residual fat mass in mice Mus musculus . We also compared the performance of these condition indices with the multiple regression of several morphometric variables on body fat mass, percent body fat and residual fat mass. In our study population, two ratio based condition indices – bod
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10

Labocha, Marta K., Heidi Schutz, and Jack P. Hayes. "Which body condition index is best?" Oikos 123, no. 1 (2014): 111–19. https://doi.org/10.5281/zenodo.13513337.

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Abstract:
(Uploaded by Plazi for the Bat Literature Project) Body condition indices are widely used by ecologists, but many indices are used without empirical validation. To test the validity of a variety of indices, we compared how well a broad range of body condition indices predicted body fat mass, percent body fat and residual fat mass in mice Mus musculus . We also compared the performance of these condition indices with the multiple regression of several morphometric variables on body fat mass, percent body fat and residual fat mass. In our study population, two ratio based condition indices – bod
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11

Labocha, Marta K., Heidi Schutz, and Jack P. Hayes. "Which body condition index is best?" Oikos 123, no. 1 (2014): 111–19. https://doi.org/10.5281/zenodo.13513337.

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Abstract:
(Uploaded by Plazi for the Bat Literature Project) Body condition indices are widely used by ecologists, but many indices are used without empirical validation. To test the validity of a variety of indices, we compared how well a broad range of body condition indices predicted body fat mass, percent body fat and residual fat mass in mice Mus musculus . We also compared the performance of these condition indices with the multiple regression of several morphometric variables on body fat mass, percent body fat and residual fat mass. In our study population, two ratio based condition indices – bod
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12

Hinderer, Ross K., Blake R. Hossack, and Lisa A. Eby. "The relationship between body condition, body composition, and growth in amphibians." PLOS ONE 20, no. 4 (2025): e0320954. https://doi.org/10.1371/journal.pone.0320954.

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Body condition of animals is often assumed to reflect advantages in survival or reproduction, but body condition indices may not reflect body composition, or condition may be unrelated to fitness-associated traits. The relationship between body condition indices and composition has rarely been quantified in amphibians, and body condition has not previously been related to growth in adult amphibians. We used laboratory (quantitative magnetic resonance) and field methods to evaluate the relationship between body composition and the four common body condition indices for wildlife studies (body ma
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13

Virgl, John A., and Francois Messier. "Evaluation of Body Size and Body Condition Indices in Muskrats." Journal of Wildlife Management 57, no. 4 (1993): 854. http://dx.doi.org/10.2307/3809089.

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14

Revicki, D. A., and R. G. Israel. "Relationship between body mass indices and measures of body adiposity." American Journal of Public Health 76, no. 8 (1986): 992–94. http://dx.doi.org/10.2105/ajph.76.8.992.

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15

K.V., Sukhinina, Aleksandrovich O.Yu., Konstantinov R.V., and Kuklin A.V. "ANTHROPOMETRIC INDICES OF FRESHMEN GIRLS." Человеческий капитал, no. 3(171) (March 28, 2023): 262–66. http://dx.doi.org/10.25629/hc.2023.03.29.

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The article describes the results of an anthropometric parametersstudy (body weight, body length, body mass index, indicators of body component composition), girls’body typesof Irkutsk State Universityfreshmen. Forty-one peoplewere the object of the research, almost healthy Russian girls - freshmen (mean age of the survey sample was 18,1 ± 0,2 years). The surveyed girls’body length was 168,3 ± 4,6 cm, weight 58,1 ± 5,4 kg and body mass index (BMI) was 20,5 ± 1,9. According to the study, the surveyed students had mostly asthenicbody types, the content of fat in body weight was 22,1 ± 0,06%, the
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16

Wells, Caitlin P., James A. Wilson, Douglas A. Kelt, and Dirk H. Van Vuren. "Body mass as an estimate of female body condition in a hibernating small mammal." Canadian Field-Naturalist 133, no. 1 (2019): 34–42. http://dx.doi.org/10.22621/cfn.v133i1.2073.

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In hibernating squirrels, the amount of energy stored as fat may influence several important demographic traits, but is difficult to quantify in living animals. Thus, several non-destructive indices of body condition are used, including simple indices that use body mass and scaled indices that correct body mass for structural size. However, the accuracy of these indices for hibernating squirrels is poorly known. We used measurements of total body electrical conductivity (TOBEC) from adult female Golden-mantled Ground Squirrels (Callospermophilus lateralis) to characterize body composition (lea
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17

Lochmiller, Robert L., Eric C. Hellgren, Larry W. Varner, K. McBee, and W. E. Grant. "Body Condition Indices for Malnourished Collared Peccaries." Journal of Wildlife Management 53, no. 1 (1989): 205. http://dx.doi.org/10.2307/3801333.

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18

Wolanski, Napoleon. "Indices of Body Build and Nutritional Status." Journal of Human Ecology 9, no. 2 (1998): 137–51. http://dx.doi.org/10.1080/09709274.1998.11907349.

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19

Mills, Terence C. "Predicting body fat using weight–height indices." Journal of Applied Statistics 35, no. 10 (2008): 1131–38. http://dx.doi.org/10.1080/02664760802264707.

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20

Augusthy, Asha, Suchanda Sahu, and Ashok Kumar Jeppu. "Lipid Indices vs Anthropometric Indices in Metabolic Syndrome and Type 2 Diabetes Mellitus." Annals of Pathology and Laboratory Medicine 8, no. 6 (2021): A152–157. http://dx.doi.org/10.21276/apalm.3060.

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Background: Diabetes mellitus is a metabolic disease known by chronic hyperglycemia which results from defective insulin action and secretion. Metabolic Syndrome consists of a constellation of metabolic abnormalities that confer increased risk of diabetes mellitus. The aim of our study is to find out whether non-invasive, clinically measurable surrogates could be useful in identifying body fat distribution and help predict metabolic syndrome and diabetes risk and to compare the performance of anthropometric indices with lipid indices in identifying metabolic syndrome and diabetes.
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21

Livshits, G., A. Roset, K. Yakovenko, S. Trofimov, and E. Kobyliansky. "Genetics of human body size and shape: body proportions and indices." Annals of Human Biology 29, no. 3 (2002): 271–89. http://dx.doi.org/10.1080/03014460110085322.

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22

Pearce, Roger D., Thomas J. O'Shea, and Bruce A. Wunder. "Evaluation of morphological indices and total body electrical conductivity to assess body composition in big brown bats." Acta Chiropterologica 10, no. 1 (2008): 153–59. https://doi.org/10.5281/zenodo.13511026.

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(Uploaded by Plazi for the Bat Literature Project) Bat researchers have used both morphological indices and total body electric conductivity (TOBEC) as proxies for body condition in a variety of studies, but have typically not validated these indices against direct measurement of body composition. We quantified body composition (total carcass lipids) to determine if morphological indices were useful predictors of body condition in big brown bats (Eptesicus fuscus). We also evaluated body composition indirectly by TOBEC using EM-SCAN® technology. The most important predictors of body compositio
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23

Pearce, Roger D., Thomas J. O'Shea, and Bruce A. Wunder. "Evaluation of morphological indices and total body electrical conductivity to assess body composition in big brown bats." Acta Chiropterologica 10, no. 1 (2008): 153–59. https://doi.org/10.5281/zenodo.13518980.

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Abstract:
(Uploaded by Plazi for the Bat Literature Project) Bat researchers have used both morphological indices and total body electric conductivity (TOBEC) as proxies for body condition in a variety of studies, but have typically not validated these indices against direct measurement of body composition. We quantified body composition (total carcass lipids) to determine if morphological indices were useful predictors of body condition in big brown bats (Eptesicus fuscus). We also evaluated body composition indirectly by TOBEC using EM-SCAN® technology. The most important predictors of body compositio
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24

Pearce, Roger D., Thomas J. O'Shea, and Bruce A. Wunder. "Evaluation of morphological indices and total body electrical conductivity to assess body composition in big brown bats." Acta Chiropterologica 10, no. 1 (2008): 153–59. https://doi.org/10.5281/zenodo.13511026.

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Abstract:
(Uploaded by Plazi for the Bat Literature Project) Bat researchers have used both morphological indices and total body electric conductivity (TOBEC) as proxies for body condition in a variety of studies, but have typically not validated these indices against direct measurement of body composition. We quantified body composition (total carcass lipids) to determine if morphological indices were useful predictors of body condition in big brown bats (Eptesicus fuscus). We also evaluated body composition indirectly by TOBEC using EM-SCAN® technology. The most important predictors of body compositio
APA, Harvard, Vancouver, ISO, and other styles
25

Pearce, Roger D., Thomas J. O'Shea, and Bruce A. Wunder. "Evaluation of morphological indices and total body electrical conductivity to assess body composition in big brown bats." Acta Chiropterologica 10, no. 1 (2008): 153–59. https://doi.org/10.5281/zenodo.13518980.

Full text
Abstract:
(Uploaded by Plazi for the Bat Literature Project) Bat researchers have used both morphological indices and total body electric conductivity (TOBEC) as proxies for body condition in a variety of studies, but have typically not validated these indices against direct measurement of body composition. We quantified body composition (total carcass lipids) to determine if morphological indices were useful predictors of body condition in big brown bats (Eptesicus fuscus). We also evaluated body composition indirectly by TOBEC using EM-SCAN® technology. The most important predictors of body compositio
APA, Harvard, Vancouver, ISO, and other styles
26

Pearce, Roger D., Thomas J. O'Shea, and Bruce A. Wunder. "Evaluation of morphological indices and total body electrical conductivity to assess body composition in big brown bats." Acta Chiropterologica 10, no. 1 (2008): 153–59. https://doi.org/10.5281/zenodo.13511026.

Full text
Abstract:
(Uploaded by Plazi for the Bat Literature Project) Bat researchers have used both morphological indices and total body electric conductivity (TOBEC) as proxies for body condition in a variety of studies, but have typically not validated these indices against direct measurement of body composition. We quantified body composition (total carcass lipids) to determine if morphological indices were useful predictors of body condition in big brown bats (Eptesicus fuscus). We also evaluated body composition indirectly by TOBEC using EM-SCAN® technology. The most important predictors of body compositio
APA, Harvard, Vancouver, ISO, and other styles
27

Pearce, Roger D., Thomas J. O'Shea, and Bruce A. Wunder. "Evaluation of morphological indices and total body electrical conductivity to assess body composition in big brown bats." Acta Chiropterologica 10, no. 1 (2008): 153–59. https://doi.org/10.5281/zenodo.13518980.

Full text
Abstract:
(Uploaded by Plazi for the Bat Literature Project) Bat researchers have used both morphological indices and total body electric conductivity (TOBEC) as proxies for body condition in a variety of studies, but have typically not validated these indices against direct measurement of body composition. We quantified body composition (total carcass lipids) to determine if morphological indices were useful predictors of body condition in big brown bats (Eptesicus fuscus). We also evaluated body composition indirectly by TOBEC using EM-SCAN® technology. The most important predictors of body compositio
APA, Harvard, Vancouver, ISO, and other styles
28

Pearce, Roger D., Thomas J. O'Shea, and Bruce A. Wunder. "Evaluation of morphological indices and total body electrical conductivity to assess body composition in big brown bats." Acta Chiropterologica 10, no. 1 (2008): 153–59. https://doi.org/10.5281/zenodo.13511026.

Full text
Abstract:
(Uploaded by Plazi for the Bat Literature Project) Bat researchers have used both morphological indices and total body electric conductivity (TOBEC) as proxies for body condition in a variety of studies, but have typically not validated these indices against direct measurement of body composition. We quantified body composition (total carcass lipids) to determine if morphological indices were useful predictors of body condition in big brown bats (Eptesicus fuscus). We also evaluated body composition indirectly by TOBEC using EM-SCAN® technology. The most important predictors of body compositio
APA, Harvard, Vancouver, ISO, and other styles
29

Pearce, Roger D., Thomas J. O'Shea, and Bruce A. Wunder. "Evaluation of morphological indices and total body electrical conductivity to assess body composition in big brown bats." Acta Chiropterologica 10, no. 1 (2008): 153–59. https://doi.org/10.5281/zenodo.13518980.

Full text
Abstract:
(Uploaded by Plazi for the Bat Literature Project) Bat researchers have used both morphological indices and total body electric conductivity (TOBEC) as proxies for body condition in a variety of studies, but have typically not validated these indices against direct measurement of body composition. We quantified body composition (total carcass lipids) to determine if morphological indices were useful predictors of body condition in big brown bats (Eptesicus fuscus). We also evaluated body composition indirectly by TOBEC using EM-SCAN® technology. The most important predictors of body compositio
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30

Taguri, Emiko, Shigeho Tanaka, Kazunori Ohkawara, et al. "Validity of Physical Activity Indices for Adjusting Energy Expenditure for Body Size: Do the Indices Depend on Body Size?" Journal of PHYSIOLOGICAL ANTHROPOLOGY 29, no. 3 (2010): 109–17. http://dx.doi.org/10.2114/jpa2.29.109.

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31

Byrne, Nuala M., and Andrew P. Hills. "Correlations of Body Composition and Body-Image Assessments of Adolescents." Perceptual and Motor Skills 84, no. 3_suppl (1997): 1330. http://dx.doi.org/10.2466/pms.1997.84.3c.1330.

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Body composition status influenced the strength of correlations between indices of body dissatisfaction assessed using a perceptual size-estimation method and two subjective measures of body image for 217 male ( n = 122) and female ( n = 95) adolescents.
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32

Lee, Bum Ju, Jaeuk U. Kim, and Sanghun Lee. "Association of menopausal status with body composition and anthropometric indices in Korean women." PLOS ONE 19, no. 5 (2024): e0298212. http://dx.doi.org/10.1371/journal.pone.0298212.

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Background Menopause induces various health problems and is associated with obesity, but the association between menopausal status and obesity is unclear due to several confounding factors, such as aging and reduced physical activity. The objective of this study was to examine the association of menopausal status with anthropometric indices and body composition indices in South Korean women. Methods In this cross-sectional study, a total of 734 subjects (297 postmenopausal women, 437 premenopausal women) from five university hospitals in South Korea were included. A binary logistic regression
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33

Kotiaho, Janne S. "Estimating Fitness: Comparison of Body Condition Indices Revisited." Oikos 87, no. 2 (1999): 399. http://dx.doi.org/10.2307/3546755.

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34

Metcalfe, Duncan, and Kevin T. Jones. "A Reconsideration of Animal Body-Part Utility Indices." American Antiquity 53, no. 3 (1988): 486–504. http://dx.doi.org/10.2307/281213.

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The animal body-part utility indices developed by Lewis Binford have been used to interpret faunal assemblages ranging from Plio-Pleistocene sites in East Africa to a late prehistoric bison kill in the High Plains of North America. Little attention, however, has been placed on refining or further developing these scales of economic utility. We examine Binford's derivation of the modified general utility index (MGUI) and demonstrate that it is needlessly complex. A nearly identical index, the food utility index (FUI), is presented. It simply scales variation in the amount of meat, marrow, and b
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35

Xu, Ying, Weili Yan, and Yin Bun Cheung. "Body shape indices and cardiometabolic risk in adolescents." Annals of Human Biology 42, no. 1 (2014): 70–75. http://dx.doi.org/10.3109/03014460.2014.903998.

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36

Fung, K. P., J. Lee, S. P. Lau, O. K. Chow, T. W. Wong, and D. P. Davis. "Properties and clinical implications of body mass indices." Archives of Disease in Childhood 65, no. 5 (1990): 516–19. http://dx.doi.org/10.1136/adc.65.5.516.

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37

Norgan, N. G. "Interpretation of low body mass indices: Australian aborigines." American Journal of Physical Anthropology 94, no. 2 (1994): 229–37. http://dx.doi.org/10.1002/ajpa.1330940207.

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38

Jakob, Elizabeth M., Samuel D. Marshall, and George W. Uetz. "Estimating Fitness: A Comparison of Body Condition Indices." Oikos 77, no. 1 (1996): 61. http://dx.doi.org/10.2307/3545585.

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39

ISTVEN, JOSEPH A., THOMAS CLOYD, and GERDI WEIDNER. "Computer based indices of body mass and overweight." International Journal of Epidemiology 20, no. 2 (1991): 572–73. http://dx.doi.org/10.1093/ije/20.2.572.

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40

Barthelmess, Erika L., Monica L. Phillips, and Michael E. Schuckers. "The value of bioelectrical impedance analysis vs. condition indices in predicting body fat stores in North American porcupines (Erethizon dorsatum)." Canadian Journal of Zoology 84, no. 12 (2006): 1712–20. http://dx.doi.org/10.1139/z06-165.

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We developed a predictive model to estimate body fat stores in a population of North American porcupines, Erethizon dorsatum (L., 1758). We trapped porcupines in the autumn of 2004 and spring of 2005. After collecting morphometric measurements on each animal, we used a plethysmograph to perform bioelectrical impedance analysis (BIA). We euthanized the subjects, measured two components of body composition (body fat, body water) via direct chemical analysis, and calculated lean dry mass to compare with BIA data. With regression we found the best predictive models for total body water, total body
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41

MIN, DONG, HONG YAN, ZHANG JUNJIE, LIU KAIXUAN, WAGNER MELISSA, and JIANG HUIYU. "A body measurements and sensory evaluation-based classification of lower body shapes for developing customized pants design." Industria Textila 69, no. 02 (2018): 111–17. http://dx.doi.org/10.35530/it.069.02.1381.

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In this paper, a fuzzy rough set-based classification method is applied to identify lower body shapes of a target population for developing customized pants design. First, a group of designers is selected for identifying the key dimensions and lower body shape indices related to women pants design. On the basis of this, we propose a classification algorithm, which uses triangle and trapezoid fuzzy membership functions for transforming the indices of the relevant data into five fuzzy sets, regarded as linguistic descriptors. An importance degree and a similarity degree are defined to solve conf
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42

Sánchez, Marta, Enric Sánchez, Marta Hernández, et al. "Dissimilar Impact of a Mediterranean Diet and Physical Activity on Anthropometric Indices: A Cross-Sectional Study from the ILERVAS Project." Nutrients 11, no. 6 (2019): 1359. http://dx.doi.org/10.3390/nu11061359.

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There is a close relationship between lifestyle behaviors and excess adiposity. Although body mass index (BMI) is the most used approach to estimate excess weight, other anthropometric indices have been developed to measure total body and abdominal adiposity. However, little is known about the impact of physical activity and adherence to a Mediterranean diet on these indices. Here we report the results of a cross-sectional study with 6672 middle-aged subjects with low to moderate cardiovascular risk from the Ilerda Vascular (ILERVAS) project. The participants’ adherence to physical activity (I
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43

Schulte-Hostedde, Albrecht I., Bertram Zinner, John S. Millar, and Graham J. Hickling. "RESTITUTION OF MASS–SIZE RESIDUALS: VALIDATING BODY CONDITION INDICES." Ecology 86, no. 1 (2005): 155–63. https://doi.org/10.5281/zenodo.13510421.

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(Uploaded by Plazi for the Bat Literature Project) Body condition can have important fitness consequences, but measuring body condition of live animals from wild populations has been the subject of much recent debate. Using the residuals from a regression of body mass on a linear measure of body size is one of the most common methods of measuring condition and has been used in many vertebrate taxa. Recently, the use of this method has been criticized because assumptions are likely violated. We tested several assumptions regarding the use of this method with body composition and morphometric da
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44

Schulte-Hostedde, Albrecht I., Bertram Zinner, John S. Millar, and Graham J. Hickling. "RESTITUTION OF MASS–SIZE RESIDUALS: VALIDATING BODY CONDITION INDICES." Ecology 86, no. 1 (2005): 155–63. https://doi.org/10.5281/zenodo.13510421.

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(Uploaded by Plazi for the Bat Literature Project) Body condition can have important fitness consequences, but measuring body condition of live animals from wild populations has been the subject of much recent debate. Using the residuals from a regression of body mass on a linear measure of body size is one of the most common methods of measuring condition and has been used in many vertebrate taxa. Recently, the use of this method has been criticized because assumptions are likely violated. We tested several assumptions regarding the use of this method with body composition and morphometric da
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45

Schulte-Hostedde, Albrecht I., Bertram Zinner, John S. Millar, and Graham J. Hickling. "RESTITUTION OF MASS–SIZE RESIDUALS: VALIDATING BODY CONDITION INDICES." Ecology 86, no. 1 (2005): 155–63. https://doi.org/10.5281/zenodo.13510421.

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Abstract:
(Uploaded by Plazi for the Bat Literature Project) Body condition can have important fitness consequences, but measuring body condition of live animals from wild populations has been the subject of much recent debate. Using the residuals from a regression of body mass on a linear measure of body size is one of the most common methods of measuring condition and has been used in many vertebrate taxa. Recently, the use of this method has been criticized because assumptions are likely violated. We tested several assumptions regarding the use of this method with body composition and morphometric da
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46

Schulte-Hostedde, Albrecht I., Bertram Zinner, John S. Millar, and Graham J. Hickling. "RESTITUTION OF MASS–SIZE RESIDUALS: VALIDATING BODY CONDITION INDICES." Ecology 86, no. 1 (2005): 155–63. https://doi.org/10.5281/zenodo.13510421.

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Abstract:
(Uploaded by Plazi for the Bat Literature Project) Body condition can have important fitness consequences, but measuring body condition of live animals from wild populations has been the subject of much recent debate. Using the residuals from a regression of body mass on a linear measure of body size is one of the most common methods of measuring condition and has been used in many vertebrate taxa. Recently, the use of this method has been criticized because assumptions are likely violated. We tested several assumptions regarding the use of this method with body composition and morphometric da
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47

Armstrong, Lawrence E., Jorge A. Herrera Soto, Frank T. Hacker, Douglas J. Casa, Stavros A. Kavouras, and Carl M. Maresh. "Urinary Indices during Dehydration, Exercise, and Rehydration." International Journal of Sport Nutrition 8, no. 4 (1998): 345–55. http://dx.doi.org/10.1123/ijsn.8.4.345.

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Abstract:
This investigation evaluated the validity and sensitivity of urine color (Ucol), specific gravity (Usg), and osmolality (Uosm) as indices of hydration status, by comparing them to changes in body water. Nine highly trained males underwent a 42-hr protocol involving dehydration to 3.7% of body mass (Day 1, −2.64 kg), cycling to exhaustion (Day 2, −5.2% of body mass, −3.68 kg), and oral rehydration for 21 hr. The ranges of mean (across time) blood and urine values were Ucol, 1-7; Usg, 1.004-1.029; U08m, 117-1,081 mOsm • kg−1; and plasma osmolality (Posm), 280-298 mOsm ⋅ kg−1. Urine color tracked
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48

Ivanova, I. V., and N. L. Chyornaya. "Anthropometric indices significance for body fat assessment in adolescents." Bulletin of Siberian Medicine 9, no. 5 (2010): 45–48. http://dx.doi.org/10.20538/1682-0363-2010-5-45-48.

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In order to distinguish anthropometric indices significance for body fat assessment anthropometry and bioimpedanceometry were made in 620 schoolchildren. Maximal correlation with body fat was revealed for BMI (r = 0,86). Significance of BMA in overfat diagnosis was 81,5%, specifity was 94,8%. BMA should be recommended for indirect body fat assessment during prophylactic observations in adolescents.
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49

Nemesh, Marianna I., Olga S. Palamarchuk, Oksana P. Krichfalushii, Volodymyr P. Feketa, and Vasyl V. Kaliy. "IMPROVEMENT OF CARDIAC FUNCTION AFTER WEIGHT LOSS PROGRAM AMONG YOUNG WOMEN." Wiadomości Lekarskie 75, no. 4 (2022): 993–98. http://dx.doi.org/10.36740/wlek20220420113.

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The aim: To determine the difference between body composition and hemodynamics indices at baseline and after the weight loss program. Materials and methods: The subject of this study was 13 young women. The weight and body composition were measured by the bio-impedance method. Hemodynamics indices were measured by the method of the thoracic rheography. The measurement of body composition and indices of hemodynamics were performed at the beginning of the weight loss program and 2 months later. The participants underwent 45 minutes per day of moderate-intensity physical activity 3 times a week.
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50

Yamborisut, Uruwan, Naoko Sakamoto, Piyanuch Visetchart, and Kraisid Tontisirin. "Central body fat distribution indices in Thai preschool children." Open Journal of Pediatrics 02, no. 01 (2012): 47–52. http://dx.doi.org/10.4236/ojped.2012.21007.

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