Literature DB >> 30354265

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

Björn Jensen1, Takashi Moritoyo2, Martha Kaufer-Horwitz3, Sven Peine4, Kristina Norman5,6, Michael J Maisch1, Aya Matsumoto2, Yuka Masui2, Antonio Velázquez-González7, Jannet Domínguez-García3, Elizabeth Fonz-Enríquez3, Saori G Salgado-Moctezuma3, Anja Bosy-Westphal8.   

Abstract

According to the World Health Organization Expert Consultation, current body mass index (BMI) cut-offs should be retained as an international classification. However, there are ethnic differences in BMI-associated health risks that may be caused by differences in body fat or skeletal muscle mass and these may affect the interpretation of phase angle and bioelectrical impedance vector analysis (BIVA). Therefore, the aim of this study was to compare body composition measured by bioelectrical impedance analysis among 1048 German, 1026 Mexican, and 995 Japanese adults encompassing a wide range of ages and BMIs (18-78 years; BMI, 13.9-44.3 kg/m2). Regression analyses between body composition parameters and BMI were used to predict ethnic-specific reference values at the standard BMI cut-offs of 18.5, 25, and 30 kg/m2. German men and women had a higher fat-free mass per fat mass compared with Mexicans. Normal-weight Japanese were similar to Mexicans but approached the German phenotype with increasing BMI. The skeletal muscle index (SMI, kg/m2) was highest in Germans, whereas in BIVA, the Mexican group had the longest vector, and the Japanese group had the lowest phase angle and the highest extracellular/total body water ratio. Ethnic differences in regional partitioning of fat and muscle mass at the trunk and the extremities contribute to differences in BIVA and phase angle. In conclusion, not only the relationship between BMI and adiposity is ethnic specific; in addition, fat distribution, SMI, and muscle mass distribution vary at the same BMI. These results emphasize the need for ethnic-specific normal values in the diagnosis of obesity and sarcopenia.

Entities:  

Keywords:  analyse d’impédance bioélectrique; analyse vectorielle d’impédance bioélectrique; angle de phase; bioelectrical impedance analysis; bioelectrical impedance vector analysis; body composition; body mass index; composition corporelle; ethnicity; ethnicité; fat mass; fat-free mass; indice de masse corporelle; indice musculosquelettique; masse adipeuse; masse maigre; phase angle; skeletal muscle index

Mesh:

Year:  2018        PMID: 30354265     DOI: 10.1139/apnm-2018-0276

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  15 in total

1.  Prognostic significance of low pre-transplant skeletal muscle mass on survival outcomes in patients undergoing hematopoietic stem cell transplantation.

Authors:  Kazuki Sakatoku; Ayumu Ito; Kinuko Tajima; Kyosuke Yamaguchi; Masatomo Kuno; Noriko Aoki; Takashi Tanaka; Saiko Kurosawa; Yoshihiro Inamoto; Sung-Won Kim; Takahiro Fukuda
Journal:  Int J Hematol       Date:  2019-11-12       Impact factor: 2.490

2.  Normative Reference Values for Trunk Range of Motion and Isometric Muscle Strength in Asymptomatic Young Indian Adults.

Authors:  Gautam M Shetty; Shikha Jain; Pratiksha Munje; Anita Bhan; C S Ram
Journal:  Indian J Orthop       Date:  2021-07-27       Impact factor: 1.033

3.  Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model.

Authors:  Zackary S Cicone; Brett S Nickerson; Youn-Jeng Choi; Clifton J Holmes; Bjoern Hornikel; Michael V Fedewa; Michael R Esco
Journal:  Med Sci Sports Exerc       Date:  2021-12-01       Impact factor: 5.411

4.  Effect of Body Fat Percentage on Muscle Damage Induced by High-Intensity Eccentric Exercise.

Authors:  Eun-Jung Yoon; Jooyoung Kim
Journal:  Int J Environ Res Public Health       Date:  2020-05-16       Impact factor: 3.390

Review 5.  Fat Mass Index (FMI) as a Trustworthy Overweight and Obesity Marker in Mexican Pediatric Population.

Authors:  Melchor Alpízar; Tamara Daniela Frydman; José de Jesús Reséndiz-Rojas; Miguel Alejandro Trejo-Rangel; Jesús Manuel De Aldecoa-Castillo
Journal:  Children (Basel)       Date:  2020-03-10

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

Authors:  Elisabetta Marini; Roberto Buffa; Luis Alberto Gobbo; Guillermo Salinas-Escudero; Silvia Stagi; Carmen García-Peña; Sergio Sánchez-García; María Fernanda Carrillo-Vega
Journal:  Int J Environ Res Public Health       Date:  2020-08-20       Impact factor: 3.390

7.  The Relationship between "Shofuku-Fujin" (Abnormality of Abdominal Examination in Japanese Kampo Medicine) and Body Composition by Bioelectrical Impedance Analysis: A Cross-Sectional Study.

Authors:  Tatsuya Ishige; Hiroshi Odaguchi; Toshihiko Hanawa
Journal:  Evid Based Complement Alternat Med       Date:  2021-04-01       Impact factor: 2.629

8.  Estimation of sarcopenia prevalence in individuals at different ages from Zheijang province in China.

Authors:  Jie Huang; Fan He; Xue Gu; Shoushun Chen; Zhendong Tong; Suya Zhong
Journal:  Aging (Albany NY)       Date:  2021-02-18       Impact factor: 5.682

9.  Development and Validation of Cutoff Value for Reduced Muscle Mass for GLIM Criteria in Patients with Gastrointestinal and Hepatobiliary-Pancreatic Cancers.

Authors:  Mami Takimoto; Sonoko Yasui-Yamada; Nanami Nasu; Natsumi Kagiya; Nozomi Aotani; Yumiko Kurokawa; Yoshiko Tani-Suzuki; Hideya Kashihara; Yu Saito; Masaaki Nishi; Mitsuo Shimada; Yasuhiro Hamada
Journal:  Nutrients       Date:  2022-02-23       Impact factor: 5.717

10.  Body Composition and Selected Nutritional Indicators in Healthy Adults-A Cross-Sectional Study.

Authors:  Paweł Więch; Zdzisława Chmiel; Dariusz Bazaliński; Marek Sobolewski; Izabela Sałacińska
Journal:  Glob Adv Health Med       Date:  2021-06-03
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