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      Anthropometry, Body Composition and Resting Energy Expenditure in Human

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          Abstract

          Anthropometry (from the Greek anthropos: human, and metron: measure) refers to the systematic collection and correlation of measurements of human individuals, including the systematic measurement of the physical characteristics of the human body, primarily body weight, body size, and shape. Today, anthropometry includes single, portable, easily applicable, non-invasive, and inexpensive techniques to assess size and composition of the human body, reflecting health and nutritional status [1]. Today, anthropometric and body composition indicators are useful to predict the development of noncommunicable diseases, like diabetesor cardiovascular diseases [2,3], but it is also useful to assess relationships with physical condition and an active/inactive lifestyle, as well as thedecline of physical ability and sarcopenia incidence [4]. Therefore, anthropometric measurements are needed as part of methods to develop strategies for early identification of decline in physical condition and appropriate interventions to avoid physical impairments, and to promote quality of life. Resting energy expenditure (REE) is the energy expenditure of an individual who is not fasting and is the number of calories required for a 24 h period by the body during a non-active period [5]. REE usually accounts for more than 60% of the total energy expenditure and is directly related to the amount of fat-free mass, which is more active metabolically than fat mass [6].The REE is useful to avoid or prevent underfeeding and/or overfeeding of individuals, especially in clinical care, but it also crucial to establish reachable goals for dietary and exercise interventions. REE can be estimated by numerous published formulas. Since the most used Harris–Benedict equation in 1918 [7], nearly 200 published REE formulas have been published dealing with various conditions [8], and the body composition is relevant to assess the validity of REE equations, which mainly depends on gender, age, and weight status [9]. The reliability and precision of body compartment measurements over a range of BMIs have been examinedby means of several techniques. Dual X-ray absorptiometry (DXA) and bioelectrical impedance devices (BIA) are the most used and precise methods. However, BIA lightly underestimated fat mass and overestimated fat-free mass and visceral adipose tissue compared to DXA [10,11]. However, BIA proved to be useful to measure changes in fat mass, body fat, total and skeletal muscle mass, ratio of lower extremity muscle mass, and ratio of upper extremity muscle mass to body weight in gastrectomized patients [12]. Simple anthropometric measurements, like waist circumference [10,13], are also useful and very informative, and BMI and body weight are still the most used parameters, in both clinical and epidemiological studies. In this way, studies on dietary and lifestyle intervention have used anthropometric, body weight, and body composition parameters as the basis of their assessment [14,15,16]. Data on nutritional status of human populations are periodically needed, as well as their relationships with anthropometry, body composition, body image, and energy expenditure, and also with healthy lifestyle outcomes. All these parameters contribute jointly to give a complete knowledge on dietary and lifestyle habits, and hence how to proceed to improve it in order to enjoy an optimal healthy status. Therefore, this Special Issue of Nutrients was designed and developed.

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          The Harris-Benedict studies of human basal metabolism: history and limitations.

          In the early part of the 20th century, numerous studies of human basal metabolism were conducted at the Nutrition Laboratory of the Carnegie Institution of Washington in Boston, Mass, under the direction of Francis G. Benedict. Prediction equations for basal energy expenditure (BEE) were developed from these studies. The expressed purpose of these equations was to establish normal standards to serve as a benchmark for comparison with BEE of persons with various disease states such as diabetes, thyroid, and other febrile diseases. The Harris-Benedict equations remain the most common method for calculating BEE for clinical and research purposes. The widespread use of the equations and the relative inaccessibility of the original work highlights the importance of reviewing the data from which the standards were developed. A review of the data reveals that the methods and conclusions of Harris and Benedict appear valid and reasonable, albeit not error free. All of the variables used in the equations have sound physiologic basis for use in predicting BEE. Supplemental data from the Nutrition Laboratory indicates that the original equations can be applied over a wide range of age and body types. The commonly held assumption that the Harris-Benedict equations overestimate BEE in obese persons may not be true for persons who are moderately obese.
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            Body mass index, waist circumference, and risk of coronary heart disease: a prospective study among men and women.

            OBJECTIVE: The purpose of the study was to assess the risk of CHD associated with excess weight measured by BMI and waist circumference (WC) in two large cohorts of men and women. DESIGN, SETTING, SUBJECTS: Participants in two prospective cohort studies, the Health Professionals Follow-up Study (N = 27,859 men; age range 39-75 years) and the Nurses' Health Study (N = 41,534 women; 39-65 years) underwent 16-year follow-up through 2004. RESULTS: 1,823 incident cases of CHD among men and 1,173 cases among women were documented. Compared to men with BMI 18.5 to 22.9 kg/m2, those with a BMI > 30.0 kg/m2 had a multivariate-adjusted RR of CHD of 1.81 (95% CI 1.48 - 2.22). Among women, those with a BMI > 30.0 kg/m2 had a RR of CHD of 2.16 (95% CI 1.81 - 2.58). Compared to men with a WC < 84.0 cm, those with WC of greater than 102.0 cm had a RR of 2.25 (95% CI 1.77 - 2.84). Among women, the RR of CHD was 2.75 (95% CI 2.20 - 3.45) for those with WC of greater than 88.0 cm. CONCLUSIONS: In these analyses from two large ongoing prospective cohort studies, both BMI and WC strongly predicted future risk of CHD. Furthermore, WC thresholds as low as 84.0 cm in men and 71.0 cm in women may be useful in identifying those at increased risk of developing CHD. The findings have broad implications in terms of CHD risk assessment in both clinical practice and epidemiologic studies.
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              Comparison of a Bioelectrical Impedance Device against the Reference Method Dual Energy X-Ray Absorptiometry and Anthropometry for the Evaluation of Body Composition in Adults

              This study aimed to compare the use of the bioelectrical impedance device (BIA) seca® mBCA 515 using dual X-ray absorptiometry (DXA) as a reference method, for body composition assessment in adults across the spectrum of body mass indices. It explores the utility of simple anthropometric measures (the waist height ratio (WHtR) and waist circumference (WC)) for the assessment of obesity. In the morning after an overnight fast (10 h), 30 participants underwent a body composition DXA (GE iDXA) scan, BIA (seca 515), and anthropometric measures. Compared to the DXA reference measure, the BIA underestimated fat mass (FM) by 0.32 kg (limits of agreement −3.8 kg, 4.4 kg); overestimated fat free mass (FFM) by 0.43 kg (limits of agreement −8.2 kg, 4.3 kg). Some of the variation was explained by body mass index (BMI), as for FM, the mean difference of the normal range BMI group was smaller than for the overweight/obese group (0.25 kg and 0.35 kg, respectively) with wider limits of agreement (−4.30 kg, 4.81 kg, and −3.61 kg, 4.30 kg, respectively). There were significant differences in visceral adipose tissue (VAT) volume measurements between methods with BIA systematically overestimating VAT compared to DXA. WC was more strongly correlated with DXA FM (rho = 0.90, p < 0.001) than WHtR (rho = 0.83, p < 0.001). BIA had some agreement with DXA; however, they are not equivalent measures for the range of BMIs explored, with DXA remaining the more informative tool. WC is a useful and simple assessment tool for obesity.
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                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                14 August 2019
                August 2019
                : 11
                : 8
                : 1891
                Affiliations
                Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN (Physiopathology of Obesity and Nutrition), 07122 Palma de Mallorca, Spain
                Author notes
                [* ]Correspondence: pep.tur@ 123456uib.es ; Tel.: +34-971-173146
                Author information
                https://orcid.org/0000-0002-6940-0761
                Article
                nutrients-11-01891
                10.3390/nu11081891
                6724063
                31416130
                2a56dcb4-8dd4-4411-9e79-4624aecde2f2
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 07 August 2019
                : 12 August 2019
                Categories
                Editorial

                Nutrition & Dietetics
                anthropometry,body composition,body mass index,free fat mass,body fat,nutritional status,dietary influences,lifestyle outcomes

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