Fat-free mass and fat mass reference values by dual-energy X-ray absorptiometry (DEXA) in a 20–80 year-old Italian population

Coin, Alessandra; Sergi, Giuseppe; Minicuci, Nadia; Giannini, Sandro; Barbiero, Elisa; Manzato, Enzo; Pedrazzoni, M.; Minisola, Salvatore; Rossini, Maurizio; Puente, Antonio Del; Zamboni, Mauro; Inelmen, Eminè Meral; Enzi, Giuliano

doi:10.1016/j.clnu.2007.10.008

Cited by 143 publications

(125 citation statements)

References 30 publications

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“…Findings from Lupoli et al, demonstrated good accuracy of the BIA Kyle equation for FFM using DEXA as a comparative method in underweight (<20 kg/m 2 ) frail male elderly patients, but interestingly not in a Using reference data for FFMI from Schutz et al [20]. and Coin et al [21]. FFMI w5the10th percentile reference range using both reference data sets for low FFMI/ malnourished and w25th percentile for 'at risk'.…”

Section: Discussionmentioning

confidence: 99%

“…Using reference percentiles for FFMI from Schutz et al [20], and Coin et al [21], patients with low and borderline FFMI were calculated and corresponding matches with MUST/MNA-SF categorisation noted (Table 2). This data supports the use of MNA-SF as the better tool to identify 'at risk' categories of malnutrition.…”

Section: Discussionmentioning

confidence: 99%

“…FFMI values were then compared against reference data from Schutz et al [20]. and Coin et al [21]. and 5the10th percentile region used to detect low FFMI and then up to w25th for 'borderline/ at risk' FFMI in patients; and corresponding count of matches for 'high risk'/'malnourished' and 'at risk' nutritional screening categories by MUST and MNA-SF calculated ( Table 2).…”

Section: Fat Free Mass and Fat Free Mass Indexmentioning

confidence: 99%

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A comparison of the malnutrition screening tools, MUST, MNA and bioelectrical impedance assessment in frail older hospital patients

Slee

Birch²,

Stokoe³

2015

Clinical Nutrition

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s u m m a r yBackground & aims: This cohort study aimed to investigate and compare the ability to predict malnutrition in a group of frail older hospital patients in the United Kingdom using the nutritional risk screening tools, MUST (malnutrition universal screening tool), MNA-SF Ò (mini nutritional assessment-short form) and bioelectrical impedance assessment (BIA) of body composition. Methods: MUST and MNA-SF was performed on 78 patients (49 males and 29 females, age: 82 y AE 7.9, body mass index (BMI): 25.5 kg/m 2 AE 5.4), categorised by nutritional risk, and statistical comparison and test reliability performed. BIA was performed in 66 patients and fat free mass (FFM), fat mass (FM) and body cell mass (BCM) and index values (kg/m 2 ) calculated and compared against reference values. Results: MUST scored 77% patients 'low risk', 9% 'medium risk' and 14% 'high risk', compared to MNA-SF categorisation: 9%, 46% and 45%, respectively (P < 0.000001). Reliability assessment found poor reliability between the screening tools (coefficient, r ¼ 0.4). Significant positive correlations were found between most variables (P < 0.05e<0.001); although females exhibited greater variation. FFM index analysis found 40% of males low/depleted, 21% borderline/at risk with 96% categorised by MNA-SF as either malnourished or at risk (MUST-35%). 29% males had low FM index and all appropriately classified by MNA-SF. 30% females had low FFM index or borderline, MNA-SF screening appropriately categorised 86% (compared to MUST-29%).Conclusions: This preliminary data may have significant clinical implications and highlights the potential ability of the MNA-SF and BIA to accurately assess malnutrition risk over MUST in frail older hospital patients.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Fat Free Mass and Fat Free Mass Indexmentioning

confidence: 99%

See 1 more Smart Citation

A comparison of the malnutrition screening tools, MUST, MNA and bioelectrical impedance assessment in frail older hospital patients

Slee

Birch²,

Stokoe³

2015

Clinical Nutrition

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“…Considering %BF-DXA, 19 women (54.3%) and 18 men (72.0%), were within %BF age and gender specific reference values (25). A higher proportion was above (28.6% women and 16.0% men) than below (17.1% women and 12.0% men) these %BF reference values.…”

confidence: 99%

“…According to gender and age, %BF-DXA mean values were compared to reference values from Coin et al (25).…”

Section: Discussionmentioning

confidence: 99%

Accuracy of Siri and Brozek equations in the percent body fat estimation in older adults

Guerra

Amaral

Marques

et al. 2010

The Journal of nutrition, health and aging

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IntroductionAccurate body fat (BF) evaluation is an important objective of nutritional assessment of older people (1). However, commonly used methods for assessing body composition such as underwater weighing and air displacement are not suitable for daily practice and may be not appropriate for older people who are not able to cope with these procedures (1, 2).The skinfold thickness (ST) measurement in distinct and pre defined body locations allows direct measurement of the subcutaneous adipose tissue thickness (1). The ST provides a good approximation for total BF, allowing the prompt identification of abnormal situations and is useful to evaluate the dynamic changes of an individual's local or total fat (3). Compared to other procedures for estimating body composition, the ST measurement is a non invasive, very convenient, easy, inexpensive and a highly informative technique to be used in older people (4).Skinfold thickness measurement can be directly converted in percent BF (%BF) or may require body density (BD) calculation using regression equations and further conversion in %BF through distinct prediction formulas. Equations for directly converting skinfold measurement to %BF are only available for younger olders (60 years old) (5) or nonCaucasian olders (6, 7), as opposed to adults (8-11). Therefore, the %BF estimation based on ST measurement, as in other methods like underwater weighting, requires the BD calculation and then its conversion in %BF, through equations. It is also known that the selection of the most appropriate equation should consider its validity within the population under study (15). The adequacy of Siri two compartment model for converting BD to %BF in older people has already been discussed (16,17). Previous studies have suggested that statements of Siri were appropriate for healthy old men but not for older women (16) and that Siri equation, depending on age, overestimates %BF by 2-3% in older individuals (17). The Brozek equation, originally developed for non-athletic young adult males, has subsequently been applied to different populations, including older adults (3). Although the study of the accuracy of these two equations has already been done in adults (18,19), in older people it remains to be seen which equation provides a more accurate transformation of BD in %BF.Therefore, the purpose of the present study is to identify which equation, Siri or Brozek, provides a more valid transformation of BD in %BF within older people. As DualEnergy X-ray Absorptiometry (DXA) is a well established reference method for the assessment of older individuals body composition (20,22), it was chosen as a criterion method. Materials and Methods Subjects and designThis was a university-based, cross-sectional study carried out on a convenience sample of older individuals, living in Porto, Portugal. The sample included 35 women aged 60-92 years, and 25 men aged 61-82 years, engaged in an exercise program at the Physical Activity, Health and Leisure Research ACCURACY OF SIRI AND BROZEK EQUATIONS IN T...

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Increased physical activity is not related to markers of cardiometabolic health in two lemur species

Rimbach,

Pontzer

2023

American J Primatol

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Insufficient physical activity is a major risk factor for cardiometabolic disease (i.e., unhealthy weight gain, heart disease, and diabetes) in humans and may also negatively affect health of primates in human care. Effects of physical activity on energy expenditure and cardiometabolic health are virtually unstudied in nonhuman primates. We investigated physical activity and metabolic markers in 15 adult ring‐tailed lemurs (Lemur catta) and 11 Coquerel's sifakas (Propithecus coquereli) at the Duke Lemur Center during a period of low activity in winter when the animals were housed in buildings (with outdoor access) and a period of high activity when individuals were free‐ranging in large, outdoor, forested enclosures. We compared body mass, blood glucose, triglycerides, HDL‐ and LDL‐cholesterol, physical activity via accelerometry, and total energy expenditure (TEE) via the doubly labeled water method (in ring‐tailed lemurs only) between both conditions. Both species were more active and had a lower body mass in summer. Ring‐tailed lemurs had a higher TEE and lower triglyceride levels in summer, whereas sifaka had higher triglyceride levels in summer. Individuals that increased their activity more, also lost more body mass. Individuals that lost more body mass, also had a positive change in HDL‐cholesterol (i.e., higher values in summer). Changes in activity were not associated with changes in markers of metabolic health, body fat percentage and TEE (both unadjusted and adjusted for body composition). Older age was associated with lower activity in both species, and decreased glucose in ring‐tailed lemurs, but was otherwise unrelated to metabolic markers and, for ring‐tailed lemurs, adjusted TEE. Overall, body mass was lower during summer but the increase in physical activity did not strongly influence metabolic health or TEE in these populations.

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Fat-free mass and fat mass reference values by dual-energy X-ray absorptiometry (DEXA) in a 20–80 year-old Italian population

Abstract: These body composition ranges can be used by clinicians and nutritionists as reference values for a Caucasian population in the Mediterranean area when evaluating body composition variations occurring in aging, malnutrition and chronic diseases.

Cited by 143 publications

References 30 publications

A comparison of the malnutrition screening tools, MUST, MNA and bioelectrical impedance assessment in frail older hospital patients

A comparison of the malnutrition screening tools, MUST, MNA and bioelectrical impedance assessment in frail older hospital patients

Accuracy of Siri and Brozek equations in the percent body fat estimation in older adults

Increased physical activity is not related to markers of cardiometabolic health in two lemur species

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