Phase angle and its determinants in healthy subjects: influence of body composition.

Background: The phase angle (PA) has been used as a prognostic marker in several clinical situations. Nevertheless, its biological meaning is not completely understood. Objective: We verified how body-composition components could explain the PA. Design: The trial was a cross-sectional study involvin...

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Publicado en:American Journal of Clinical Nutrition Vol. 103; no. 3; pp. 712 - 717
Autores principales: Gonzalez, Maria Cristina, Barbosa-Silva, Thiago G., Bielemann, Renata M., Gallagher, Dympna, Heymsfield, Steven B.
Formato: equations & formulas research tables/charts Journal Article
Publicado: Elsevier B.V. 3/1/2016
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: American Journal of Clinical Nutrition
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    pubinfo:
      dt: 3/1/2016
      vid: 103
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      pid: 467
      pub: Elsevier B.V.
      place: New York, New York
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        113555998
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        10.3945/ajcn.115.116772
        113555998
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        atl: Phase angle and its determinants in healthy subjects: influence of body composition.
      aug:
        au:
          Gonzalez, Maria Cristina
          Barbosa-Silva, Thiago G.
          Bielemann, Renata M.
          Gallagher, Dympna
          Heymsfield, Steven B.
        affil: Post-graduation Program on Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil
      sug:
        subj:
          Phase Angle
          Body Composition
          Human
          Cross Sectional Studies
          Male
          Female
          Doubly Labeled Water Technique
          Potassium Analysis
          Body Water Analysis
          Absorptiometry, Photon
          Adipose Tissue Analysis
          Fat Free Mass Analysis
          Hydrodensitometry
          Electric Impedance
          Multivariate Analysis
          Linear Regression
          Sex Factors
          Age Factors
          Body Height Evaluation
          Mathematics
          New York
          Body Weight Evaluation
          Body Mass Index Evaluation
          Data Analysis Software
          Mann-Whitney U Test
          Effect Size
          P-Value
          Pearson's Correlation Coefficient
          Black Persons
          White Persons
          Asians
          Hispanic Americans
          Adult
          Middle Age
          Descriptive Statistics
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Background: The phase angle (PA) has been used as a prognostic marker in several clinical situations. Nevertheless, its biological meaning is not completely understood. Objective: We verified how body-composition components could explain the PA. Design: The trial was a cross-sectional study involving 1442 participants (women: 58.5%; Caucasian: 40.2%) from body-composition studies. Labeled tritium dilution and total-body potassium were used to estimate total-body water (TBW) and intracellular water (ICW), respectively. Extracellular water (ECW) and the ECW:ICW ratio were estimated from the difference and the ratio of these values. Fat-free mass (FFM) and fat mass (FM) were estimated with the use of dual-energy X-ray absorptiometry, underwater weighing (UWW), and TBW. The PA was estimated with the use of a single-frequency bioelectrical impedance analysis system. Correlations between the PA and all body-composition variables were evaluated. A multivariate linear regression analysis was performed to adjust for the effects of body-composition variables on the PA variability. All analyses were performed separately by sex. Results: Compared with men, women exhibited significantly larger ECW:ICW ratios and FM. The highest positive correlation was shown between the PA and FFM obtained with the use of UWW (both sexes). The highest negative correlation was shown between the PA and ECW: ICW ratios for both sexes. Age, race, height, ECW:ICW, and FFM from UWW were significant PA determinants in a multivariate linear regression model. Even after adjustment for all significant covariates, the explained PA variance was low (adjusted R² = 0.539 and 0.421 in men and women, respectively). The greatest impact on the total PA prediction in both men and women were age, FFM, and height. Conclusions: Age is the most significant PA predictor in men and women followed by FFM and height. The ECW:ICW contribution may explain the association of the PA observed in the clinical setting and in people who are obese.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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