Body mass index and bioelectrical vector distribution in 8-year-old children
To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature 2) in a population of healthy children in order to detect possible changes in body composition status. Observational study involving 464 healthy 8-year-old children. The subjects were div...
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Published in | Nutrition, metabolism, and cardiovascular diseases Vol. 18; no. 2; pp. 133 - 141 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.02.2008
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Subjects | |
Online Access | Get full text |
ISSN | 0939-4753 1590-3729 1590-3729 |
DOI | 10.1016/j.numecd.2006.08.008 |
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Abstract | To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature
2) in a population of healthy children in order to detect possible changes in body composition status.
Observational study involving 464 healthy 8-year-old children. The subjects were divided into three groups based on their BMI: 218 normal weight (NW) children with BMI
<
18.4 for male and BMI
<
18.3 for female; 135 overweight (OW) children with BMI 18.4 to <21.6 for male and with BMI 18.3 to <21.6 for female; 111 obese (OB) children with BMI
≥
21.6. Skinfold thickness was measured at the triceps using a Holtain caliper. Bioelectrical impedance analysis (BIA) measurements were performed. Total body water (TBW), fat-mass (FM), fat-free mass (FFM), body cell mass (BCM) and extra-cellular water (ECW) were estimated using conventional BIA regression equations. The resistance–reactance graph (RXc graph) method was used for vector BIA using as reference population the set of 353 children with BMI 14.0–21.5
kg/m
2.
Mean vector displacement followed a definite pattern, with progressive vector shortening in groups with increasing BMI class, and along a fixed phase angle. This pattern indicates an increase in TBW due to an increase in soft tissue mass with an average, normal hydration. In NW children, vectors out of the right and upper half of the 75% tolerance ellipse indicating leanness, and vectors falling out of the right and lower half of the tolerance ellipse indicating undernutrition, show a significantly reduced value of BCM but no significant differences in FM or triceps skinfold thickness (TST), respectively, compared to vectors falling within the 75% tolerance ellipse.
Although BMI is a reliable measure to grade overweight, it cannot differentiate whether weight change is due to variation of FM, FFM or water. In our study a different impedance vector pattern has been associated with normal weight to obesity, and we have established the trajectory followed by the impedance vector of standardized age, healthy children grouped by BMI. This BIVA may be useful for clinical purposes due to ability to detect changes in hydration or body composition in children. |
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AbstractList | To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature(2)) in a population of healthy children in order to detect possible changes in body composition status.
Observational study involving 464 healthy 8-year-old children. The subjects were divided into three groups based on their BMI: 218 normal weight (NW) children with BMI<18.4 for male and BMI<18.3 for female; 135 overweight (OW) children with BMI 18.4 to <21.6 for male and with BMI 18.3 to <21.6 for female; 111 obese (OB) children with BMI>/=21.6. Skinfold thickness was measured at the triceps using a Holtain caliper. Bioelectrical impedance analysis (BIA) measurements were performed. Total body water (TBW), fat-mass (FM), fat-free mass (FFM), body cell mass (BCM) and extra-cellular water (ECW) were estimated using conventional BIA regression equations. The resistance-reactance graph (RXc graph) method was used for vector BIA using as reference population the set of 353 children with BMI 14.0-21.5kg/m(2).
Mean vector displacement followed a definite pattern, with progressive vector shortening in groups with increasing BMI class, and along a fixed phase angle. This pattern indicates an increase in TBW due to an increase in soft tissue mass with an average, normal hydration. In NW children, vectors out of the right and upper half of the 75% tolerance ellipse indicating leanness, and vectors falling out of the right and lower half of the tolerance ellipse indicating undernutrition, show a significantly reduced value of BCM but no significant differences in FM or triceps skinfold thickness (TST), respectively, compared to vectors falling within the 75% tolerance ellipse.
Although BMI is a reliable measure to grade overweight, it cannot differentiate whether weight change is due to variation of FM, FFM or water. In our study a different impedance vector pattern has been associated with normal weight to obesity, and we have established the trajectory followed by the impedance vector of standardized age, healthy children grouped by BMI. This BIVA may be useful for clinical purposes due to ability to detect changes in hydration or body composition in children. To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature 2) in a population of healthy children in order to detect possible changes in body composition status. Observational study involving 464 healthy 8-year-old children. The subjects were divided into three groups based on their BMI: 218 normal weight (NW) children with BMI < 18.4 for male and BMI < 18.3 for female; 135 overweight (OW) children with BMI 18.4 to <21.6 for male and with BMI 18.3 to <21.6 for female; 111 obese (OB) children with BMI ≥ 21.6. Skinfold thickness was measured at the triceps using a Holtain caliper. Bioelectrical impedance analysis (BIA) measurements were performed. Total body water (TBW), fat-mass (FM), fat-free mass (FFM), body cell mass (BCM) and extra-cellular water (ECW) were estimated using conventional BIA regression equations. The resistance–reactance graph (RXc graph) method was used for vector BIA using as reference population the set of 353 children with BMI 14.0–21.5 kg/m 2. Mean vector displacement followed a definite pattern, with progressive vector shortening in groups with increasing BMI class, and along a fixed phase angle. This pattern indicates an increase in TBW due to an increase in soft tissue mass with an average, normal hydration. In NW children, vectors out of the right and upper half of the 75% tolerance ellipse indicating leanness, and vectors falling out of the right and lower half of the tolerance ellipse indicating undernutrition, show a significantly reduced value of BCM but no significant differences in FM or triceps skinfold thickness (TST), respectively, compared to vectors falling within the 75% tolerance ellipse. Although BMI is a reliable measure to grade overweight, it cannot differentiate whether weight change is due to variation of FM, FFM or water. In our study a different impedance vector pattern has been associated with normal weight to obesity, and we have established the trajectory followed by the impedance vector of standardized age, healthy children grouped by BMI. This BIVA may be useful for clinical purposes due to ability to detect changes in hydration or body composition in children. Abstract Objective To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature2 ) in a population of healthy children in order to detect possible changes in body composition status. Design Observational study involving 464 healthy 8-year-old children. The subjects were divided into three groups based on their BMI: 218 normal weight (NW) children with BMI < 18.4 for male and BMI < 18.3 for female; 135 overweight (OW) children with BMI 18.4 to <21.6 for male and with BMI 18.3 to <21.6 for female; 111 obese (OB) children with BMI ≥ 21.6. Skinfold thickness was measured at the triceps using a Holtain caliper. Bioelectrical impedance analysis (BIA) measurements were performed. Total body water (TBW), fat-mass (FM), fat-free mass (FFM), body cell mass (BCM) and extra-cellular water (ECW) were estimated using conventional BIA regression equations. The resistance–reactance graph (RXc graph) method was used for vector BIA using as reference population the set of 353 children with BMI 14.0–21.5 kg/m2. Results Mean vector displacement followed a definite pattern, with progressive vector shortening in groups with increasing BMI class, and along a fixed phase angle. This pattern indicates an increase in TBW due to an increase in soft tissue mass with an average, normal hydration. In NW children, vectors out of the right and upper half of the 75% tolerance ellipse indicating leanness, and vectors falling out of the right and lower half of the tolerance ellipse indicating undernutrition, show a significantly reduced value of BCM but no significant differences in FM or triceps skinfold thickness (TST), respectively, compared to vectors falling within the 75% tolerance ellipse. Conclusions Although BMI is a reliable measure to grade overweight, it cannot differentiate whether weight change is due to variation of FM, FFM or water. In our study a different impedance vector pattern has been associated with normal weight to obesity, and we have established the trajectory followed by the impedance vector of standardized age, healthy children grouped by BMI. This BIVA may be useful for clinical purposes due to ability to detect changes in hydration or body composition in children. To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature(2)) in a population of healthy children in order to detect possible changes in body composition status.OBJECTIVETo describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature(2)) in a population of healthy children in order to detect possible changes in body composition status.Observational study involving 464 healthy 8-year-old children. The subjects were divided into three groups based on their BMI: 218 normal weight (NW) children with BMI<18.4 for male and BMI<18.3 for female; 135 overweight (OW) children with BMI 18.4 to <21.6 for male and with BMI 18.3 to <21.6 for female; 111 obese (OB) children with BMI>/=21.6. Skinfold thickness was measured at the triceps using a Holtain caliper. Bioelectrical impedance analysis (BIA) measurements were performed. Total body water (TBW), fat-mass (FM), fat-free mass (FFM), body cell mass (BCM) and extra-cellular water (ECW) were estimated using conventional BIA regression equations. The resistance-reactance graph (RXc graph) method was used for vector BIA using as reference population the set of 353 children with BMI 14.0-21.5kg/m(2).DESIGNObservational study involving 464 healthy 8-year-old children. The subjects were divided into three groups based on their BMI: 218 normal weight (NW) children with BMI<18.4 for male and BMI<18.3 for female; 135 overweight (OW) children with BMI 18.4 to <21.6 for male and with BMI 18.3 to <21.6 for female; 111 obese (OB) children with BMI>/=21.6. Skinfold thickness was measured at the triceps using a Holtain caliper. Bioelectrical impedance analysis (BIA) measurements were performed. Total body water (TBW), fat-mass (FM), fat-free mass (FFM), body cell mass (BCM) and extra-cellular water (ECW) were estimated using conventional BIA regression equations. The resistance-reactance graph (RXc graph) method was used for vector BIA using as reference population the set of 353 children with BMI 14.0-21.5kg/m(2).Mean vector displacement followed a definite pattern, with progressive vector shortening in groups with increasing BMI class, and along a fixed phase angle. This pattern indicates an increase in TBW due to an increase in soft tissue mass with an average, normal hydration. In NW children, vectors out of the right and upper half of the 75% tolerance ellipse indicating leanness, and vectors falling out of the right and lower half of the tolerance ellipse indicating undernutrition, show a significantly reduced value of BCM but no significant differences in FM or triceps skinfold thickness (TST), respectively, compared to vectors falling within the 75% tolerance ellipse.RESULTSMean vector displacement followed a definite pattern, with progressive vector shortening in groups with increasing BMI class, and along a fixed phase angle. This pattern indicates an increase in TBW due to an increase in soft tissue mass with an average, normal hydration. In NW children, vectors out of the right and upper half of the 75% tolerance ellipse indicating leanness, and vectors falling out of the right and lower half of the tolerance ellipse indicating undernutrition, show a significantly reduced value of BCM but no significant differences in FM or triceps skinfold thickness (TST), respectively, compared to vectors falling within the 75% tolerance ellipse.Although BMI is a reliable measure to grade overweight, it cannot differentiate whether weight change is due to variation of FM, FFM or water. In our study a different impedance vector pattern has been associated with normal weight to obesity, and we have established the trajectory followed by the impedance vector of standardized age, healthy children grouped by BMI. This BIVA may be useful for clinical purposes due to ability to detect changes in hydration or body composition in children.CONCLUSIONSAlthough BMI is a reliable measure to grade overweight, it cannot differentiate whether weight change is due to variation of FM, FFM or water. In our study a different impedance vector pattern has been associated with normal weight to obesity, and we have established the trajectory followed by the impedance vector of standardized age, healthy children grouped by BMI. This BIVA may be useful for clinical purposes due to ability to detect changes in hydration or body composition in children. |
Author | Guida, Bruna Principato, Silvestre Falconi, Claudio Pecoraro, Pierluigi Trio, Rossella Laccetti, Roberta Perrino, Nunzia Ruggiero Pietrobelli, Angelo |
Author_xml | – sequence: 1 givenname: Bruna surname: Guida fullname: Guida, Bruna email: bguida@unina.it organization: Department Neuroscience/Physiology Nutrition Session, University “Federico II”, Napoli, Italy – sequence: 2 givenname: Angelo surname: Pietrobelli fullname: Pietrobelli, Angelo organization: Pediatric Unit, Verona University Medical School, Policlinic “GB. Rossi”, Verona, Italy – sequence: 3 givenname: Rossella surname: Trio fullname: Trio, Rossella organization: Department Neuroscience/Physiology Nutrition Session, University “Federico II”, Napoli, Italy – sequence: 4 givenname: Roberta surname: Laccetti fullname: Laccetti, Roberta organization: Department Neuroscience/Physiology Nutrition Session, University “Federico II”, Napoli, Italy – sequence: 5 givenname: Claudio surname: Falconi fullname: Falconi, Claudio organization: Department Neuroscience/Physiology Nutrition Session, University “Federico II”, Napoli, Italy – sequence: 6 givenname: Nunzia Ruggiero surname: Perrino fullname: Perrino, Nunzia Ruggiero organization: Department Neuroscience/Physiology Nutrition Session, University “Federico II”, Napoli, Italy – sequence: 7 givenname: Silvestre surname: Principato fullname: Principato, Silvestre organization: Unit Nutrition, Department Public Health, ASL Napoli 4, Acerra, Italy – sequence: 8 givenname: Pierluigi surname: Pecoraro fullname: Pecoraro, Pierluigi organization: Unit Nutrition, Department Public Health, ASL Napoli 4, Acerra, Italy |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/17307345$$D View this record in MEDLINE/PubMed |
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Keywords | Obesity FM Fat-free mass TBW Xc FFM BIVA BCM SD R TST ECW Bioelectrical impedance vector analysis Children BIA BMI reactance fat mass as a percentage of body weight fat mass triceps skinfold thickness bioelectrical impedance analysis body cell mass body mass index fat-free mass as a percentage of body weight resistance body cell mass as a percentage of body weight total body water extracellular water as a percentage of total body water standard deviation |
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Snippet | To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature
2) in a population of healthy children in... Abstract Objective To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature2 ) in a population of... To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature(2)) in a population of healthy children in... |
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SubjectTerms | Bioelectrical impedance vector analysis Body Composition Body Fat Distribution Body Mass Index Body Water - metabolism Body Weights and Measures Cardiovascular Child Children Electric Impedance Fat-free mass Female Humans Italy Male Obesity Obesity - physiopathology Reference Values Reproducibility of Results Skinfold Thickness Water-Electrolyte Balance |
Title | Body mass index and bioelectrical vector distribution in 8-year-old children |
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