Ethnic differences in fat and muscle mass and their implication for interpretation of bioelectrical impedance vector analysis

Jensen, B.; Moritoyo, Takashi; Kaufer‐Horwitz, Martha; Peine, Sven; Norman, Kristina; Maisch, Michael Johannes; Matsumoto, Aya; Masui, Yuka; Velázquez-González, Antonio; Domínguez-García, J; Fonz-Enríquez, Elizabeth; Salgado-Moctezuma, Saori G.; Bosy‐Westphal, Anja

doi:10.1139/apnm-2018-0276

Cited by 49 publications

(60 citation statements)

References 29 publications

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“…To our knowledge, there are few population studies focused on the comparison of body composition in older adults [24], especially in older adults living in different countries [9]. Total and regional body composition differences related to ethnicity have been observed along the overall lifespan, including the elderly [25].…”

Section: Population Differencesmentioning

confidence: 99%

“…Total and regional body composition differences related to ethnicity have been observed along the overall lifespan, including the elderly [25]. For these reasons, the need for ethnic-specific references in this age group has been claimed [9]. However, the overall pattern of body composition differences is not very clear.…”

Section: Population Differencesmentioning

confidence: 99%

“…Although the age-related trend of body composition variations has been studied in various populations [7,8], to the best of our knowledge, few comparative analyses in a transnational perspective have been performed [9,10].…”

Section: Introductionmentioning

confidence: 99%

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Interpopulation Similarity of Sex and Age-Related Body Composition Variations Among Older Adults

Marini

Buffa

Gobbo

et al. 2020

IJERPH

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The aim of the study was to analyze sex and age-related body composition variations among older adults from the Brazilian, Italian, and Mexican population. A cross-sectional analysis was conducted in 1103 community-dwelling older adults (634 women and 469 men), aged 60 to 89 years, living in Brazil (n = 176), Italy (n = 554), and Mexico (n = 373). Anthropometric measurements were taken, BMI was calculated, and impedance measurements were obtained (resistance, R, reactance, Xc). Specific bioelectrical impedance vector analysis (specific BIVA) was applied, with the specific vector defined by impedance, or vector length (Z = (Rsp2 + Xcsp)0.5), and phase angle (PA = arctan Xc/R 180/π). Population, sex, and age differences in anthropometric and bioelectrical variables were evaluated by means of a two way ANOVA. The mean bioelectrical vectors were graphed by confidence ellipses and statistically compared by the Hotelling’s T2 test. The three population groups showed differences in body mass and composition (p < 0.001): the Brazilian sample was characterized by greater body dimensions, longer vectors (higher relative content of fat mass), and lower phase angles (lower skeletal muscle mass). Men were taller and heavier than women (p < 0.001) but had a similar BMI (p = 0.102). They also had higher phase angle (higher skeletal muscle mass) (p < 0.001) and lower vector length (lower %FM) (p < 0.001). In the three population groups, the oldest individuals showed lower anthropometric and phase angle values with respect to the youngest ones (p < 0.001), whereas the vector length did not change significantly with age (p = 0.665). Despite the differences between sexes and among populations, the trend of age-related variations was similar in the Brazilian, Italian, and Mexican older adults.

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Section: Population Differencesmentioning

confidence: 99%

Section: Population Differencesmentioning

confidence: 99%

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Interpopulation Similarity of Sex and Age-Related Body Composition Variations Among Older Adults

Marini

Buffa

Gobbo

et al. 2020

IJERPH

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“…Resistance (R) and reactance (Xc) values obtained at 5 and 50 kHz for different body segments were used in the prediction equations. The reference values of fat mass or skeletal muscle mass in the Japanese population were validated [14].…”

Section: Measurements Of Body Fat and Skeletal Muscle Massmentioning

confidence: 99%

Sarcopenic obesity and its association with frailty and protein-energy wasting in hemodialysis patients: preliminary data from a single center in Japan

Saitoh

Ogawa²,

Kondo³

et al. 2019

Ren Replace Ther

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Background: This study investigated the prevalence of sarcopenia or sarcopenic obesity and their association with frailty and protein-energy wasting (PEW) in hemodialysis patients. Methods: The present study enrolled 117 adult hemodialysis patients (35% female, 64 ± 12 years old) from single units of a hemodialysis center. The patients were divided into four groups: normal, obese, sarcopenia, and sarcopenic obesity. Sarcopenia was diagnosed by Asian Working Group for Sarcopenia (AWGS) criteria, and obesity was defined as an extensive percent body fat mass greater than 40% in females and 30% in males. Skeletal muscle mass and percent fat mass were evaluated by multifrequency whole-body bioimpedance electrical analysis after a midweek dialysis session. Handgrip strength and a short physical performance battery (SPPB) were assessed before a dialysis session as indicators of muscle strength and physical performance. Moreover, participants completed the Kihon Checklist and the criteria proposed by the International Society of Renal Nutrition and Metabolism expert panel to classify frailty and PEW. We performed multivariate logistic regression analysis to identify the clinical risk of frailty and PEW in patients with sarcopenia or sarcopenic obesity. Results: Forty-six (39.3%) patients were classified as normal; 18 (15.4%), as obese; 35 (29.9%), as having sarcopenia; and 18 (15.4%), as having sarcopenic obesity. The sarcopenia or sarcopenic obesity group had significantly lower handgrip strength than the normal or obesity group (all p < 0.05). In addition, the sarcopenia and sarcopenic obesity groups had significantly lower SPPB scores than the normal group (p < 0.05, respectively). In the multivariate analysis, the sarcopenic obesity group had a significantly higher risk of frailty than the normal group in the multivariate analysis after adjusting for age and gender (OR 4.518, 95%CI 1.218-16.752, p = 0.024). However, sarcopenic obesity was not associated with a higher likelihood of PEW, and sarcopenia imposed a significantly higher risk of PEW (OR 4.272, 95%CI 1.157-15.778, p = 0.029) than that in the normal group after adjusting for confounding factors. Conclusion: Sarcopenic obesity was closely associated with frailty compared with the normal condition in HD patients. However, sarcopenic obesity was not associated with a higher likelihood of PEW.

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“…However, the pharmacokinetic parameters of TCI devices for propofol that are commercially used in Japan include only the patient's weight. Various pharmacokinetic parameters have been published; however, these models are based on European physical attributes, which differ considerably with regard to fat and muscle composition from those of Japanese populations [1] [2]. In addition, drug metabolism differs in races [3].…”

Section: Introductionmentioning

confidence: 99%

A New Pharmacokinetic Model of Propofol for Japanese Patients

Omote¹,

Tachibana²,

Tokinaga³

et al. 2019

OJAnes

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Target-controlled infusion (TCI) of propofol is used for general anesthesia. However, the only pharmacokinetic parameter commercially used for Japanese patients is weight, and pharmacokinetic models are based on European physical attributes. Drug metabolism also differs in races. This study aimed to identify optimal continuous doses of propofol for Japanese patients and to create a simulated pharmacokinetic (PK) model. Thirty Japanese patients were enrolled. Patients received a constant infusion of 9 mg/kg/h of propofol. Arterial blood samples were collected and the time course of plasma propofol concentrations was modeled using the nonlinear mixed effects model (NONMEM) three-compartmental PK model. We validated the model by intravenously injecting 10 patients with a TCI driver system programmed with the NONMEM model. Our model's performance was evaluated using the median prediction error (MDPE), median absolute prediction error (MDAPE), and Wobble. We analyzed 320 blood samples for model building and 160 samples for validating our new model. The calculated parameters for the three-compartmental PK model were volume [V1, 3.58; V2, 13.0 + 0.49 × (Age-64); and V3, 186] and elimination clearance [CL1, 0.77 + (WT-54) × 0.04 + (HT-158) × 0.03; CL2, 0.89 + 0.12 × (Age-64); and CL3, 0.98 × exp ((Age-64)/10)]. The new model improved MDPE, MDAPE, and Wobble values (11.5% ± 43.8%, 14.3% ± 33.0%, and 25.0% ± 21.3%, respectively). We created a new pharmacokinetic model for Japanese patients, which is more accurate than the three existing models applied to Japanese populations. Electronic document is a "live" template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.

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Ethnic differences in fat and muscle mass and their implication for interpretation of bioelectrical impedance vector analysis

Cited by 49 publications

References 29 publications

Interpopulation Similarity of Sex and Age-Related Body Composition Variations Among Older Adults

Interpopulation Similarity of Sex and Age-Related Body Composition Variations Among Older Adults

Sarcopenic obesity and its association with frailty and protein-energy wasting in hemodialysis patients: preliminary data from a single center in Japan

A New Pharmacokinetic Model of Propofol for Japanese Patients

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