Ageing, adiposity indexes and low muscle mass in a clinical sample of overweight and obese women

Siervo, Mario; Stephan, Blossom C M; Nasti, Gilda; Colantuoni, Antonio

doi:10.1016/j.orcp.2011.05.001

Cited by 16 publications

(8 citation statements)

References 41 publications

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“…BIVA analyzes electrical properties of tissues and is sensitive to changes of body cell mass and hydration;14,15 specific BIVA17 has been shown to accurately evaluate the relative amounts of fat and FFM, so it is probably sensitive to skeletal muscle fat infiltration and inflammatory states. According to Siervo et al,29 BMI and WC showed the worst performance when classifying sarcopenic obesity in a large sample of women. Moreover, the visceral fat distribution detected by WC is a dimorphic character more pronounced in men than in women; in fact, even though in the present research WC showed significant differences between sarcopenic and sarcopenic obese men (Table 2), in women the correlation of WC with FM% (r: 0.42, p < 0.01) was lower than the correlation between R sp and FM% (r: 0.62, p > 0.01).…”

Section: Discussionmentioning

confidence: 99%

The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity

Marini¹,

Buffa²,

Saragat³

et al. 2012

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PurposeThe aim of this paper is to investigate whether bioelectrical impedance vector analysis (BIVA) can be a suitable technique for the assessment of sarcopenia. We also investigate the potential use of specific BIVA as an indicator of sarcopenic obesity.Subjects and methodsThe sample comprised 207 free-living elderly individuals of both sexes, aged 65 to 93 years. Anthropometric and bioelectrical measurements were taken according to standard criteria. The “classic” and “specific” BIVA procedures, which respectively correct bioelectrical values for body height and body geometry, were used. Dual energy X-ray absorptiometry (DXA) was used as the reference method for identifying sarcopenic and obese sarcopenic individuals. Bioelectrical and DXA values were compared using Student’s t-test and Hotelling’s T2 test, as well as Pearson’s correlation coefficient.ResultsAccording to classic BIVA, sarcopenic individuals of both sexes showed higher values of resistance/height (R/H; p < 0.01) and impedance/height (Z/H; p < 0.01), and a lower phase angle (p < 0.01). Similarly, specific BIVA showed significant differences between sarcopenic and nonsarcopenic individuals (men: T2 = 15.7, p < 0.01; women: T2 = 10.7, p < 0.01), with the sarcopenic groups showing a lower specific reactance and phase angle. Phase angle was positively correlated with the skeletal muscle mass index (men: r = 0.52, p < 0.01; women: r = 0.31, p < 0.01). Specific BIVA also recognized bioelectrical differences between sarcopenic and sarcopenic obese men (T2 = 13.4, p < 0.01), mainly due to the higher values of specific R in sarcopenic obese individuals.ConclusionBIVA detected muscle-mass variations in sarcopenic individuals, and specific BIVA was able to discriminate sarcopenic individuals from sarcopenic obese individuals. These procedures are promising tools for screening for presarcopenia, sarcopenia, and sarcopenic obesity in routine practice.

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Section: Discussionmentioning

confidence: 99%

The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity

Marini¹,

Buffa²,

Saragat³

et al. 2012

CIA

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“…Waist circumference (WC) was measured at the midpoint between the last rib and the iliac crest on the midaxillary line. 25 Mid-upper-arm circumference was measured on the nondominant side at the midpoint between the tip of the acromial process of the scapula and the olecranon process of the ulna. Triceps skin-fold thickness was used to estimate MM according to the algorithm: (arm-muscle area [AMA] = [AC − {π × triceps skin fold}]) 2 /4π.…”

Section: Methodsmentioning

confidence: 99%

“…FM and FFM were adjusted for height squared to account for age-related differences in height, and called FM index (FMI) and FFM index, respectively. 25 – 29 Obesity was evaluated using established clinical and research cutoff scores for BMI, WC, FM%, and FMI. The cutoff scores for the classification of obesity included 1) BMI ≥30.0 kg/m 2 , 2) WC >88.0 cm, 3) FM% ≥35.0%, and 4) FMI ≥9.5 kg/m 2 .…”

Section: Methodsmentioning

confidence: 99%

Dietary protein intake in sarcopenic obese older women

Muscariello¹,

Nasti²,

Siervo³

et al. 2016

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ObjectiveTo determine the prevalence of sarcopenia in a population of obese older women and to assess the effect of a diet moderately rich in proteins on lean mass in sarcopenic obese older women.Materials and methodsA total of 1,030 females, >65 years old, body mass index >30 kg/m2, were investigated about their nutritional status. Muscle mass (MM) was estimated according to the Janssen equation (MM =0.401× height2/resistance measured at 50 kHz +3.825× sex −0.071× age +5.102). Sarcopenia was defined according to the MM index, MM/height2 (kg/m2), as two standard deviations lower than the obesity-derived cutoff score (7.3 kg/m2). A food-frequency questionnaire was used to measure participants’ usual food intake during the previous 3 months. Moreover, a group of sarcopenic obese older women (n=104) was divided in two subgroups: the first (normal protein intake [NPI], n=50) administered with a hypocaloric diet (0.8 g/kg desirable body weight/day of proteins), and the second treated with a hypocaloric diet containing 1.2 g/kg desirable body weight/day of proteins (high protein intake [HPI], n=54), for 3 months. Dietary ingestion was estimated according to a daily food diary, self-administered, and three reports of nonconsecutive 24-hour recall every month during the follow-up.ResultsThe 104 women were classified as sarcopenic. After dieting, significant reductions in body mass index were detected (NPI 30.7±1.3 vs 32.0±2.3 kg/m2, HPI 30.26±0.90 vs 31.05±2.90 kg/m2; P<0.01 vs baseline). The MM index presented significant variations in the NPI as well as in the HPI sarcopenic group (NPI 6.98±0.1 vs 7.10±0.2 kg/m2, HPI 7.13±0.4 vs 6.96±0.1 kg/m2; P<0.01 vs baseline).ConclusionA diet moderately rich in proteins was able to preserve MM in sarcopenic women. Therefore, adequate protein intake could contribute to the prevention of lean-mass loss associated with weight reduction in obese older people.

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“…Full description of the study methodology is defined elsewhere . In brief, participants were selected from those recruited between February 2010 and September 2013 as part of a large ongoing cohort (Milan), followed at the International Center for the Assessment of Nutritional Status (ICANS, University of Milan).…”

Section: Methodsmentioning

confidence: 99%

“…Sarcopenic obesity has been defined using different parameters as indicators of sarcopenia, obesity, body composition techniques and diagnostic cut‐offs . Body mass index (BMI) , waist circumference (WC) , FM % , fat mass index (FMI) and visceral fat area have all been used as parameters to define obesity, while appendicular skeletal muscle mass , skeletal mass index , skeletal muscle mass percentage , FFM index (FFMI) and thigh muscle cross‐sectional area have all been parameters used to define sarcopenia. The cut‐off values used for each of these parameters have differed between studies and have been gender‐specific , cohort‐specific or derived from a reference young healthy population .…”

Section: Introductionmentioning

confidence: 99%

Association between ratio indexes of body composition phenotypes and metabolic risk in Italian adults

et al. 2016

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(2016) Association between ratio indexes of body composition phenotypes and metabolic risk in Italian adults. Clinical Obesity,6 (6 Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.) What is already known about this subject ASSOCIATION BETWEEN RATIO-INDEXES OF BODY COMPOSITION PHENOTYPES AND METABOLIC RISK IN ITALIAN ADULTS• Sarcopenic obesity, defined as the concomitant presence of high adiposity and low muscle mass, has been proposed as a novel body composition phenotype• Several definitions have been proposed to define sarcopenic obesity with implications for prevalence estimates and disease risk predictions• Ratio models of body composition phenotypes have been proposed to improve disease risk prediction What this study adds• Compare for the first time two independent ratio indexes for the load-capacity model• There is no real advantage in using either VAT:FFMI or FMI:FFMI ratios as a predictor of metabolic risk 3 AbstractBackground/Objectives: The ratio between fat mass (FM) and fat free mass (FFM) has been used to

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Ageing, adiposity indexes and low muscle mass in a clinical sample of overweight and obese women

Cited by 16 publications

References 41 publications

The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity

The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity

Dietary protein intake in sarcopenic obese older women

Association between ratio indexes of body composition phenotypes and metabolic risk in Italian adults

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