Body composition: Where and when

Mazzoccoli, Gianluigi

doi:10.1016/j.ejrad.2015.10.020

Cited by 46 publications

(33 citation statements)

References 39 publications

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“…Evidently, this factor limits the possible screening of MetS in high-risk populations, especially in developing countries such as Colombia [ 2 , 11 ]. Recently, more research has examined the potential role of body composition measurements in health monitoring [ 12 , 13 ]. Bioelectrical impedance analysis (BIA) is the method that is most frequently used to assess body composition and calculate BF% in clinical practice, given its accuracy, simplicity, low cost, and excellent correlation with DXA, CT, or magnetic resonance imaging (MRI) [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Percentage of Body Fat and Fat Mass Index as a Screening Tool for Metabolic Syndrome Prediction in Colombian University Students

et al. 2017

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High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian University students. A cross-sectional study was conducted on 1687 volunteers (63.4% women, mean age = 20.6 years). Weight, waist circumference, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis (BIA) and FMI was calculated. MetS was defined as including more than or equal to three of the metabolic abnormalities according to the IDF definition. Receiver operating curve (ROC) analysis was used to determine optimal cut-off points for BF% and FMI in relation to the area under the curve (AUC), sensitivity, and specificity in both sexes. The overall prevalence of MetS was found to be 7.7%, higher in men than women (11.1% vs. 5.3%; p < 0.001). BF% and FMI were positively correlated to MetS components (p < 0.05). ROC analysis indicated that BF% and FMI can be used with moderate accuracy to identify MetS in university-aged students. BF% and FMI thresholds of 25.55% and 6.97 kg/m2 in men, and 38.95% and 11.86 kg/m2 in women, were found to be indicative of high MetS risk. Based on the IDF criteria, both indexes’ thresholds seem to be good tools to identify university students with unfavorable metabolic profiles.

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Section: Introductionmentioning

confidence: 99%

Percentage of Body Fat and Fat Mass Index as a Screening Tool for Metabolic Syndrome Prediction in Colombian University Students

et al. 2017

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“…However, if it is used in practice, practitioners should measure individual variance to develop an understanding of minimal worthwhile change as it may not be suitable for a oneoff measurement. This may be important as body fat is not constant, but rather shows time-relation variation [16].…”

Section: Discussionmentioning

confidence: 99%

Comparison of a mobile application to estimate percentage body fat to other non-laboratory based measurements

Shaw

Robinson²,

Peart

2017

Biomedical Human Kinetics

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SummaryStudy aim: The measurement of body composition is important from a population perspective as it is a variable associated with a person's health, and also from a sporting perspective as it can be used to evaluate training. This study aimed to examine the reliability of a mobile application that estimates body composition by digitising a two-dimensional image. Materials and methods: Thirty participants (15 men and 15 women) volunteered to have their percentage body fat (%BF) estimated via three different methods (skinfold measurements, SFM; bio-electrical impedance, BIA; LeanScreen TM mobile application, LSA). Intra-method reproducibility was assessed using intra-class correlation coefficients (ICC), coefficient of variance (CV) and typical error of measurement (TEM). The average measurement for each method were also compared. Results: There were no significant differences between the methods for estimated %BF (p = 0.818) and the reliability of each method as assessed via ICC was good (≥0.974). However the absolute reproducibility, as measured by CV and TEM, was much higher in SFM and BIA (≤1.07 and ≤0.37 respectively) compared with LSA (CV 6.47, TEM 1.6). Conclusion: LSA may offer an alternative to other field-based measures for practitioners, however individual variance should be considered to develop an understanding of minimal worthwhile change, as it may not be suitable for a one-off measurement.

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“…Individuals with the same BMI may not necessarily have the same amount and distribution of body fat (82,83) . Knowledge of the amount of body fat, how it is distributed throughout the body and the composition of lean mass is important (81,84,85) . Techniques to measure body composition include bioelectrical impedance, dual-energy X-ray absorptiometry, densitometry including air displacement plethysmography and isotope dilution techniques (86) .…”

Section: Ensure An Environment and Foods Devoid Of Contaminants And Mmentioning

confidence: 99%

Challenges and opportunities to tackle the rising prevalence of diet-related non-communicable diseases in Africa

Owino

2019

Proc. Nutr. Soc.

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Africa is experiencing a sharp rise in non-communicable diseases (NCD) related to rapid globalisation and urbanisation leading to shifts in dietary and lifestyle patterns characterised by increased energy intake and physical inactivity. However, unlike more resource-endowed regions, Africa has a double burden of disease: NCD co-exist with infectious diseases including lower respiratory tract infections, HIV/AIDS and diarrhoeal diseases. The African economy is also relatively weaker, making it difficult to cope with this burden. It is postulated that NCD will soon overtake infectious diseases as the number one cause of death in the African region. The recognition of NCD as diseases and obesity as a related risk factor is weak in Africa, compounded by stigma associated with wasting in HIV/AIDS and obesity being perceived as a sign of wealth, achievement and care. There is also a dearth of data on overweight and obesity in the region and little knowledge that infant feeding practices, such as breast-feeding, are linked to reduced risk of NCD in both children and mothers. While complex multi-sectoral approaches to address this NCD menace are needed, Africa may benefit from taking simple initial steps to address NCD risk factors including: (1) behaviour change communication to challenge perceptions on NCD; (2) promoting and protecting breast-feeding; (3) formulating policies and regulations limiting wide availability of unhealthy foods; (4) mainstream nutrition education in school curricula and (5) collection of accurate data based on indicators that can reflect the double burden of disease and malnutrition; and fostering multi-sectoral actions against NCD.

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Body composition: Where and when

Cited by 46 publications

References 39 publications

Percentage of Body Fat and Fat Mass Index as a Screening Tool for Metabolic Syndrome Prediction in Colombian University Students

Percentage of Body Fat and Fat Mass Index as a Screening Tool for Metabolic Syndrome Prediction in Colombian University Students

Comparison of a mobile application to estimate percentage body fat to other non-laboratory based measurements

Challenges and opportunities to tackle the rising prevalence of diet-related non-communicable diseases in Africa

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