The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables
Open accessAbstract
Evaluation of body composition is an important part of assessing nutritional status and provides prognostically useful data and an opportunity to monitor the effects of nutrition‐related disease progression and nutritional intervention. The aim of this narrative review is to critically evaluate body composition methodology in adults, focusing on anthropometric variables. The variables considered include height, weight, body mass index and alternative indices, trunk measurements (waist and hip circumferences and sagittal abdominal diameter) and limb measurements (mid‐upper arm and calf circumferences) and skinfold thickness. The importance of adhering to a defined measurement protocol, checking measurement error and the need to interpret measurements using appropriate population‐specific cut‐off values to identify health risks were highlighted. Selecting the optimum method for assessing body composition using anthropometry depends on the purpose (i.e. evaluating obesity or undernutrition) and requires practitioners to have a good understanding of both practical and theoretical limitations and to be able to interpret the results wisely.
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Cites
Renehan, A. G., Tyson, M., Egger, M., Heller, R. F., & Zwahlen, M. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60269-x · Cited by 5,219
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
Janssen, I., Heymsfield, S. B., Wang, Z., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.1.81 · Cited by 3,087
Anthropometric Standardization Reference Manual
Lohman, T. J., Roache, A. F., & Martorell, R. (1992) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199208000-00020 · Cited by 2,764 · cited 1×
“The techniques and specific anatomical positions for measurements are described authoritatively in a number of text books (Lohman et al.,1988; Frisancho, 2008; Stewart & Sutton, 2012) and also in the open access NHANES manual which includes clear photographs (Centers for Disease Control &…”
MethodGorber, S. C., Tremblay, M., Moher, D., & Gorber, B. (2007) · Obesity Reviews · doi:10.1111/j.1467-789x.2007.00347.x · Cited by 1,945 · cited 3×
“A systematic review of studies comparing self-reported and measured height found an overall tendency to overestimate height, with studies reporting mean differences of up to 7.5 cm (Connor Gorber et al., 2007).”
BackgroundMethodInfluentialPrinciples Of Nutritional Assessment
Gibson, R. S. (2005) · doi:10.1093/oso/9780195171693.001.0001 · Cited by 1,887
Anthropometric Reference Data for Children and Adults: United States, 2003-2006: (623932009-001)
McDowell, M. A., Fryar, C. D., Ogden, C. L., & Flegal, K. M. (2008) · PsycEXTRA Dataset · doi:10.1037/e623932009-001 · Cited by 1,378
Basal metabolic rate studies in humans: measurement and development of new equations
Henry, C. (2005) · Public Health Nutrition · doi:10.1079/phn2005801 · Cited by 1,033 · cited 1×
“Height is used in public health and clinical nutrition to assess risk of undernutrition and obesity (Elia, 2003), to estimate basal metabolic rate (Henry, 2005) and to determine drug dose (Pai, 2012).”
Accelerated Loss of Skeletal Muscle Strength in Older Adults With Type 2 Diabetes
Park, S. W., Goodpaster, B. H., Strotmeyer, E. S., Kuller, L. H., Broudeau, R., Kammerer, C., de Rekeneire, N., Harris, T. B., Schwartz, A. V., Tylavsky, F. A., et al. (2007) · Diabetes Care · doi:10.2337/dc06-2537 · Cited by 766
Cited by
ESPEN guidelines on definitions and terminology of clinical nutrition
Cederholm, T., Barazzoni, R., Austin, P., Ballmer, P., Biolo, G., Bischoff, S. C., Compher, C., Correia, I., Higashiguchi, T., Holst, M., et al. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2016.09.004 · Cited by 2,560
Malnutrition Screening and Assessment
Serón-Arbeloa, C., Labarta-Monzón, L., Puzo-Foncillas, J., Mallor-Bonet, T., Lafita-López, A., Bueno-Vidales, N., & Montoro-Huguet, M. (2022) · doi:10.20944/preprints202205.0071.v1 · Cited by 312
Heydenreich, J., Kayser, B., Schutz, Y., & Melzer, K. (2017) · Sports Medicine - Open · doi:10.1186/s40798-017-0076-1 · Cited by 177
De Lorenzo, A., Noce, A., Moriconi, E., Rampello, T., Marrone, G., Di Daniele, N., & Rovella, V. (2018) · Nutrients · doi:10.3390/nu10040474 · Cited by 68
“Both measurements have beenrepeated [28].”
Smith, S., & Madden, A. M. (2016) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12372 · Cited by 67
Self-citation
Metadata
- Authors
- Madden, A. M., & Smith, S.
- Venue
- Journal of Human Nutrition and Dietetics
- Publisher
- Wiley
- Published
- 2014-11-25
- Volume
- 29
- Issue
- 1
- Pages
- 7-25
- ISSN
- 0952-3871 (ISSN-L)
- 1365-277X
- OpenAlex
- W1980047725
- Cited by
- 309
- References
- 8
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
