Anthropometric predictive equations for estimating body composition

Salamat, Mohammad Reza; Shanei, Ahmad; Salamat, Amir Hossein; Khoshhali, Mehri; Asgari, Mahdi

doi:10.4103/2277-9175.150429

Cited by 18 publications

(7 citation statements)

References 19 publications

(19 reference statements)

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“…Thus, high WHR would represent a relatively high amount of visceral fat tissue [ 23 ]. However, both WC and WHR provide only indirect measurements of central adiposity [ 23 , 24 ], and WC and WHR were poor predictors of trunk fat mass when compared with dual energy X-ray absorptiometry scans [ 25 ]. Importantly, anthropometric measures such as WC and WHR are problematic in pregnant women, especially in late pregnancy, when the growing uterus may affect the measurement [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

Impact of maternal central adiposity on infant anthropometry and perinatal morbidity: A systematic review

Lindberger

Sundström‐Poromaa

Ahlsson

2020

European Journal of Obstetrics & Gynecology and Reproductiv

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Overweight and obesity during pregnancy are risk factors for a large number of perinatal complications, both for the mother and the infant. Risk stratification and early interventions are therefore highly clinically important to minimize future complications. Currently, body mass index (BMI) in early pregnancy is used for risk stratification of pregnant women, but a disadvantage of BMI is that it does not distinguish muscle from fat tissue and central from peripheral adiposity. Maternal fat distribution is suggested to be a better predictor than BMI of obesity-related adverse pregnancy outcomes, with central adiposity posing a greater risk than peripheral subcutaneous fat. With this study, we aimed to systematically review the evidence of what impact maternal central adiposity in early to mid-pregnancy or at most 365 days prior to conception has on infant anthropometry and perinatal morbidity. The databases PubMed/MEDLINE, Web of Science Core Collection, CINAHL, SCOPUS, Clinical Trials, and Open Grey were searched from inception until November 2019. Eligible studies assessed the association between maternal central adiposity, in early to mid-pregnancy or at most 365 days prior to conception, and any of the following infant outcomes: preterm delivery (< 37 weeks of gestation), birthweight, macrosomia, large for gestational age, congenital malformations, hypoglycemia, hyperbilirubinemia, care at neonatal intensive care unit, and death. Two authors independently screened titles and abstracts, read the included full-text studies, and extracted data. The Newcastle-Ottawa Quality Assessment Scale for cohort studies was used to evaluate the quality of and risk of bias in the studies. A total of 720 records were identified, 20 full-text studies assessed for eligibility, and 10 cohort studies included in the review. The results suggest that central adiposity in early to mid-pregnancy or at most 365 days prior to conception may contribute to increased birthweight and increased likelihood of delivery by cesarean section. There is also some evidence of associations between central adiposity and preterm delivery (< 37 weeks of gestation), and admission to neonatal intensive care unit. A meta-analysis was not possible to perform due to substantial heterogeneity among the included studies regarding the exposure, outcome, and statistical methods used. Hence, central adiposity in early to mid-pregnancy or at most 365 days prior to conception could be a possible risk marker in addition to BMI for risk stratification of pregnant women. However, since the topic is only scarcely researched, and the results not unanimous, more studies are needed to further clarify the associations between maternal central adiposity and adverse neonatal complications, before any altered recommendations of guidelines could be made. To enable a future meta-analysis, studies using similar methods for central adiposity assessment,and similar outcome measures, are required.

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Section: Discussionmentioning

confidence: 99%

Impact of maternal central adiposity on infant anthropometry and perinatal morbidity: A systematic review

Lindberger

Sundström‐Poromaa

Ahlsson

2020

European Journal of Obstetrics & Gynecology and Reproductiv

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“…stature, weight, body mass index, skinfolds, hip and waist circumference) were excluded. Examples of exclusions are Salamat et al (2015), Sett and Sahu (2016) and Gabbett (2005). Studies that presented exclusively 3D or photography methods to collected data were also excluded, such as the examples of the works from Barroso et al (2005) and Coblentz et al (1991).…”

Section: Methodsmentioning

confidence: 99%

Accuracy, precision and reliability in anthropometric surveys for ergonomics purposes in adult working populations: A literature review

Viviani

Arezes

Bragança

et al. 2018

International Journal of Industrial Ergonomics

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Anthropometric surveys are the most common method of gathering human morphometric data, used to design clothing, products and workspaces. The aim of this paper was to assess how current peer reviewed literature addresses the accuracy, reliability and precision regarding manual anthropometric surveys applied to adult working populations in the field of ergonomics. A literature review was performed in two electronic databases for finding relevant papers. A total of 312 papers were reviewed, of which 79 met the inclusion criteria. The results shown that the subjects of these publications are poorly addressed, so that only 27 studies mentioned at least one of the terms and none of the studies evaluated all of the terms. Only one paper mentioned and assessed precision and reliability of the measurement procedure. Furthermore, none of the publications evaluated accuracy. Moreover, the reviewed papers presented large differences in the factors that affect precision, reliability and accuracy. This was particularly clear in the measurer technique/training, measurement tools, subject posture and clothing. Researchers in this area should take more rigorous approaches and explicit indicators with their results should be presented in any report. Relevance for industry: It is important that scientific literature related to manual anthropometric measurements uses methods for assessing measurement error, since these data are often used to design clothing and workspaces as well as to calibrate non manual methods such as 3D scanners.

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“…2,9 Therefore, it is important to assess body composition to achieve a greater understanding of the physiology of these changes and the general clinical conditions of these patients by means of a combination of anthropometric measurements (including height, weight, BMI, waist circumference, percentage of fat mass (FM), hip circumference (HC), and waist-to-hip index), dual X-ray absorptiometry (DXA), and bioelectrical impedance analysis (BIA). 10,11 A high BMI is associated with radiographic joint damage that is less severe in the early stages of the disease as well as decreased mortality related to cardiovascular disease. Hence, a high BMI is considered a protective factor.…”

Section: Correlation Between Percentage Of Fat Mass and Level Of Dise...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Correlation between percentage of fat mass and level of disease activity in rheumatoid arthritis

et al. 2022

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Introduction: Controversies exist regarding the relationship between body fat and disease activity in patients with rheumatoid arthritis. The evaluation of the disease is critical for establishing treatment and prognosis. Fat mass could be a predictive factor for poor prognosis in rheumatoid arthritis because of its association with low- and high-grade inflammation. Objective: To evaluate the correlation between fat mass values and disease activity in patients with rheumatoid arthritis. Materials and methods: This was a cross-sectional study. Eighty female patients diagnosed with rheumatoid arthritis (American College of Rheumatology of 1987) were evaluated. For each one, the evaluation determined fat mass using bioelectrical impedance analysis and disease activity using the Disease Activity Score on 28 joints (DAS28). Results: The mean age was 59.11 ± 9.92 years, with an average disease duration of 14.13 ± 10.13 years; 85% of patients showed a high body fat percentage. Pearson’s correlation between DAS28 values and fat mass was r = 0.035 ( p = 0.76). Conclusion: The levels of DAS28 showed no correlation with fat mass percentage. Further studies are required to clarify the factors that can modify these levels.

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Anthropometric predictive equations for estimating body composition

Cited by 18 publications

References 19 publications

Impact of maternal central adiposity on infant anthropometry and perinatal morbidity: A systematic review

Impact of maternal central adiposity on infant anthropometry and perinatal morbidity: A systematic review

Accuracy, precision and reliability in anthropometric surveys for ergonomics purposes in adult working populations: A literature review

Correlation between percentage of fat mass and level of disease activity in rheumatoid arthritis

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