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...

Full description

Saved in:
Bibliographic Details
Published inNutrition, metabolism, and cardiovascular diseases Vol. 18; no. 2; pp. 133 - 141
Main Authors Guida, Bruna, Pietrobelli, Angelo, Trio, Rossella, Laccetti, Roberta, Falconi, Claudio, Perrino, Nunzia Ruggiero, Principato, Silvestre, Pecoraro, Pierluigi
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.02.2008
Subjects
Online AccessGet full text
ISSN0939-4753
1590-3729
1590-3729
DOI10.1016/j.numecd.2006.08.008

Cover

Loading…
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.
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
BookMark eNqVkk-L1TAUxYOMOG9Gv4FIV-5ab5o0SUWEcfAfPHChrkOa3GKebTIm7eD79qa80YWg4iohnHPC-d17Qc5CDEjIYwoNBSqeHZqwzmhd0wKIBlQDoO6RHe16qJls-zOyg571NZcdOycXOR8AmATGH5BzKhlIxrsd2b-K7ljNJufKB4ffKxNcNfiIE9oleWum6rbcYqqcz-VhWBcfQ9FWqj6iSXWcXGW_-MklDA_J_dFMGR_dnZfk85vXn67f1fsPb99fX-1ry4VaajFy0UnZjdI5Co4JMyrXIjoEyrnrBoqDEhJV2wqGjA-9oUp0yLk0A-84uyRPT7k3KX5bMS969tniNJmAcc16awmCiSJ8cidchxmdvkl-Numof_YvgucngU0x54Sjtn4xW8UlGT9pCnqDrQ_6BFtvsDUoXWAXM__N_Cv_77aXJxsWRLcek87WY7DofCqotYv-fwPs5MM2q694xHyIawoFv6Y6txr0x20Nti0AAUCl2lq_-HPAv___ARbDw5k
CitedBy_id crossref_primary_10_1016_j_nutos_2023_04_007
crossref_primary_10_1371_journal_pone_0223907
crossref_primary_10_1080_03091902_2017_1333165
crossref_primary_10_1123_japa_2020_0222
crossref_primary_10_1371_journal_pone_0211148
crossref_primary_10_3389_fped_2022_911825
crossref_primary_10_1038_ejcn_2014_170
crossref_primary_10_1016_j_clnesp_2021_09_011
crossref_primary_10_1016_j_jaci_2009_02_029
crossref_primary_10_1177_0884533615627157
crossref_primary_10_1590_1414_431X20155012
crossref_primary_10_1016_j_pedneo_2017_10_007
crossref_primary_10_1136_bjsm_2009_058321
crossref_primary_10_1111_sms_13784
crossref_primary_10_1038_s41598_024_55875_z
crossref_primary_10_1097_MPG_0000000000003488
crossref_primary_10_3389_fped_2019_00086
crossref_primary_10_1515_jpem_2016_0369
crossref_primary_10_1088_1361_6579_ad252e
crossref_primary_10_3390_ijerph15020263
crossref_primary_10_1016_j_clnu_2009_08_007
crossref_primary_10_1097_MD_0000000000013296
crossref_primary_10_1371_journal_pone_0058533
crossref_primary_10_3389_fped_2021_657551
crossref_primary_10_1097_MCO_0b013e32832a3f43
crossref_primary_10_3310_hta18510
crossref_primary_10_1007_s00467_009_1326_3
Cites_doi 10.1016/S0899-9007(01)00665-7
10.1093/oxfordjournals.aje.a010102
10.1111/j.1749-6632.1999.tb09456.x
10.1152/jappl.1986.60.4.1327
10.1152/jappl.1995.79.1.94
10.1152/jappl.1993.75.4.1776
10.1093/ajcn/58.5.589
10.1038/ki.1997.493
10.1038/ki.1994.305
10.1177/0148607105029003148
10.1016/S0899-9007(02)01084-5
10.1016/j.numecd.2006.02.005
10.1097/00005768-199612000-00012
10.1038/sj.ejcn.1600448
10.1016/S0939-4753(03)80021-2
10.1093/ajcn/35.5.1169
10.1111/j.1523-1755.1998.00843.x
10.1016/j.numecd.2006.01.011
10.1097/00003246-200001000-00022
10.1007/s00592-003-0086-y
10.1038/oby.2001.80
10.1542/peds.79.1.1
10.1093/ajcn/44.3.417
10.1093/ajcn/63.3.299
10.1136/adc.69.3.337
10.1016/S0899-9007(00)00269-0
10.1093/ajcn/50.3.435
10.1079/BJN19900116
10.1093/ajcn/64.3.478S
10.1159/000013606
10.1093/ajcn/59.3.547
10.1038/sj.ijo.0800551
10.1136/bmj.320.7244.1240
ContentType Journal Article
Copyright 2006 Elsevier B.V.
Elsevier B.V.
Copyright_xml – notice: 2006 Elsevier B.V.
– notice: Elsevier B.V.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
DOI 10.1016/j.numecd.2006.08.008
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE



MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1590-3729
EndPage 141
ExternalDocumentID 17307345
10_1016_j_numecd_2006_08_008
S0939475306001785
1_s2_0_S0939475306001785
Genre Multicenter Study
Journal Article
Comparative Study
GeographicLocations Italy
GeographicLocations_xml – name: Italy
GroupedDBID ---
--K
--M
.1-
.FO
.GJ
.~1
0R~
123
1B1
1P~
1~.
1~5
29N
4.4
457
4G.
53G
5VS
7-5
71M
8P~
AAEDT
AAEDW
AAFWJ
AAHBH
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AATTM
AAWTL
AAXKI
AAXUO
AAYWO
ABBQC
ABFNM
ABMAC
ABMZM
ABWVN
ABXDB
ACDAQ
ACGFS
ACIEU
ACRLP
ACRPL
ACVFH
ADBBV
ADCNI
ADEZE
ADMUD
ADNMO
AEBSH
AEIPS
AEKER
AENEX
AEUPX
AEVXI
AFJKZ
AFPUW
AFRHN
AFTJW
AFXIZ
AGCQF
AGHFR
AGUBO
AGYEJ
AIEXJ
AIGII
AIIUN
AIKHN
AITUG
AJRQY
AJUYK
AKBMS
AKRWK
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
ANZVX
AXJTR
BKOJK
BLXMC
BNPGV
CS3
DU5
EBS
EFJIC
EFKBS
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FIRID
FNPLU
FYGXN
G-Q
GBLVA
HVGLF
HZ~
IHE
J1W
KOM
M41
MO0
N9A
O-L
O9-
OAUVE
OA~
OL0
OZT
P-8
P-9
P2P
PC.
Q38
ROL
RPZ
SDF
SDG
SDH
SEL
SES
SEW
SSH
SSZ
T5K
Z5R
~G-
AACTN
AFCTW
AFKWA
AJOXV
AMFUW
RIG
AAIAV
ABLVK
ABYKQ
AJBFU
EFLBG
LCYCR
ZA5
AAYXX
AGRNS
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
ID FETCH-LOGICAL-c468t-6f465775f7dd10d36af8d2eede0144d5b1eb867e82263e34b9a1865e447ab4543
IEDL.DBID .~1
ISSN 0939-4753
1590-3729
IngestDate Thu Jul 10 19:57:53 EDT 2025
Wed Feb 19 01:44:04 EST 2025
Tue Jul 01 04:30:45 EDT 2025
Thu Apr 24 22:56:59 EDT 2025
Fri Feb 23 02:31:58 EST 2024
Sun Feb 23 10:19:16 EST 2025
Tue Aug 26 16:32:30 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 2
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
Language English
License https://www.elsevier.com/tdm/userlicense/1.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c468t-6f465775f7dd10d36af8d2eede0144d5b1eb867e82263e34b9a1865e447ab4543
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
PMID 17307345
PQID 70340636
PQPubID 23479
PageCount 9
ParticipantIDs proquest_miscellaneous_70340636
pubmed_primary_17307345
crossref_citationtrail_10_1016_j_numecd_2006_08_008
crossref_primary_10_1016_j_numecd_2006_08_008
elsevier_sciencedirect_doi_10_1016_j_numecd_2006_08_008
elsevier_clinicalkeyesjournals_1_s2_0_S0939475306001785
elsevier_clinicalkey_doi_10_1016_j_numecd_2006_08_008
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2008-02-01
PublicationDateYYYYMMDD 2008-02-01
PublicationDate_xml – month: 02
  year: 2008
  text: 2008-02-01
  day: 01
PublicationDecade 2000
PublicationPlace Netherlands
PublicationPlace_xml – name: Netherlands
PublicationTitle Nutrition, metabolism, and cardiovascular diseases
PublicationTitleAlternate Nutr Metab Cardiovasc Dis
PublicationYear 2008
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
References Pecoraro, Guida, Caroli, Trio, Falconi, Principato (bib37) 2003; 40
Bray, DeLany, Harsha, Volaufova, Catherine (bib43) 2001; 9
Waki, Kral, Mazariegos, Wang, Pierson, Heymsfield (bib2) 1991; 261
Ellis (bib16) 1996; 20
De Palo, Messina, Edefonti, Perfumo, Pisanello, Peruzzi (bib21) 2000; 16
Davies (bib14) 1993; 69
Deurenberg, Pieters, Hutvast (bib36) 1990; 63
Piccoli, Piazza, Noventa, Pillon, Zaccaria (bib39) 1996; 28
Piccoli, Rossi, Pillon, Bucciante (bib20) 1994; 46
Kushner, Schoeller (bib27) 1986; 44
Battistini, Virgili, Severi, Brambilla, Manzoni, Beccaria (bib3) 1995; 79
Heymsfield, Wang, Visser, Gallagher, Pierson (bib13) 1996; 64
Ahrens, Bammann, de Henauw, Halford, Palou, Pigeot (bib1) 2006 May; 16
Roubenoff, Kehayias, Dawson-Hughes, Heymsfield (bib18) 1993; 58
Piccoli, Brunani, Savia, Pillon, Favaro, Berselli (bib38) 1998; 22
NIH Consensus statement (bib12) 1996; 12
Guglielmi, Mastronuzzi, Pietrini, Panarese, Panella, Francavilla (bib30) 20 Apr 1999; 873
Goran, Kaskoun, Carpenter, Poehlman, Ravussin, Fontvieille (bib15) 1993; 75
Chertow, Lazarus, Lew, Ma, Lowrie (bib9) 1997; 52
Piccoli, Pittoni, Facco, Favaro, Pillon (bib19) 2000; 28
Lukaski, Bolonchuk, Hall, Siders (bib26) 1986; 60
Toso, Piccoli, Gusella, Menon, Crepaldi, Bononi (bib33) 2003; 19
Piccoli (bib10) 1998; 53
Guo, Roche, Houtkooper (bib28) 1989; 50
Piccoli, Pastori (bib29) 2002
Deurenberg, Kusters, Smit (bib41) 1990; 44
Ellis, Abrams, Wong (bib5) 1999; 150
Lohman, Roche, Martorell (bib24) 1988
Fogelholm, van Marken Lichtenbelt (bib17) 1997; 51
Barba, Troiano, Russo, Strazzullo, Siani (bib4) 2006 May; 16
Data from Vital and Health Statistics of the Centers for Disease Control and Prevention/National Center for Health Statistics. Advance Data, no. 314, December 4, 2000.
Fomom, Haschke, Ziegler, Nelson (bib40) 1982; 35
Goran, Driscoll, Johnson, Nagy, Hunter (bib6) 1996; 63
(bib23) 1987; 79
Moyad (bib8) 2001; 19
Frisancho AR. Health products. Ann Arbor, MI; 1986.
Guida, Trio, Pecoraro, Gerardi, Laccetti, Nastasi (bib31) 2003; 13
Wellens, Chumlea, Guo, Roche, Reo, Siervogel (bib7) 1994; 59
Guida, De Nicola, Trio, Pecoraro, Iodice, Memoli (bib11) 2000; 20
Piccoli, Pillon, Dumler (bib35) 2002; 18
Cole, Bellizzi, Flegal, Dietz (bib22) 2000; 320
Piccoli, Codognotto, Di Pascoli, Boffo, Caregaro (bib32) 2005; 29
Dixon, Brown, Engelman, Jennrich (bib34) 1992
Guida (10.1016/j.numecd.2006.08.008_bib31) 2003; 13
Ahrens (10.1016/j.numecd.2006.08.008_bib1) 2006; 16
Moyad (10.1016/j.numecd.2006.08.008_bib8) 2001; 19
10.1016/j.numecd.2006.08.008_bib25
Fomom (10.1016/j.numecd.2006.08.008_bib40) 1982; 35
Deurenberg (10.1016/j.numecd.2006.08.008_bib36) 1990; 63
10.1016/j.numecd.2006.08.008_bib42
Guglielmi (10.1016/j.numecd.2006.08.008_bib30) 1999; 873
Piccoli (10.1016/j.numecd.2006.08.008_bib32) 2005; 29
Toso (10.1016/j.numecd.2006.08.008_bib33) 2003; 19
Piccoli (10.1016/j.numecd.2006.08.008_bib29) 2002
Barba (10.1016/j.numecd.2006.08.008_bib4) 2006; 16
Ellis (10.1016/j.numecd.2006.08.008_bib5) 1999; 150
Davies (10.1016/j.numecd.2006.08.008_bib14) 1993; 69
Goran (10.1016/j.numecd.2006.08.008_bib6) 1996; 63
NIH Consensus statement (10.1016/j.numecd.2006.08.008_bib12) 1996; 12
Lukaski (10.1016/j.numecd.2006.08.008_bib26) 1986; 60
Cole (10.1016/j.numecd.2006.08.008_bib22) 2000; 320
Piccoli (10.1016/j.numecd.2006.08.008_bib38) 1998; 22
Chertow (10.1016/j.numecd.2006.08.008_bib9) 1997; 52
Bray (10.1016/j.numecd.2006.08.008_bib43) 2001; 9
Guida (10.1016/j.numecd.2006.08.008_bib11) 2000; 20
Piccoli (10.1016/j.numecd.2006.08.008_bib19) 2000; 28
Fogelholm (10.1016/j.numecd.2006.08.008_bib17) 1997; 51
(10.1016/j.numecd.2006.08.008_bib23) 1987; 79
Guo (10.1016/j.numecd.2006.08.008_bib28) 1989; 50
Dixon (10.1016/j.numecd.2006.08.008_bib34) 1992
Battistini (10.1016/j.numecd.2006.08.008_bib3) 1995; 79
Wellens (10.1016/j.numecd.2006.08.008_bib7) 1994; 59
Waki (10.1016/j.numecd.2006.08.008_bib2) 1991; 261
Pecoraro (10.1016/j.numecd.2006.08.008_bib37) 2003; 40
Heymsfield (10.1016/j.numecd.2006.08.008_bib13) 1996; 64
Lohman (10.1016/j.numecd.2006.08.008_bib24) 1988
Deurenberg (10.1016/j.numecd.2006.08.008_bib41) 1990; 44
Piccoli (10.1016/j.numecd.2006.08.008_bib20) 1994; 46
Piccoli (10.1016/j.numecd.2006.08.008_bib35) 2002; 18
Piccoli (10.1016/j.numecd.2006.08.008_bib39) 1996; 28
Ellis (10.1016/j.numecd.2006.08.008_bib16) 1996; 20
Goran (10.1016/j.numecd.2006.08.008_bib15) 1993; 75
De Palo (10.1016/j.numecd.2006.08.008_bib21) 2000; 16
Piccoli (10.1016/j.numecd.2006.08.008_bib10) 1998; 53
Roubenoff (10.1016/j.numecd.2006.08.008_bib18) 1993; 58
Kushner (10.1016/j.numecd.2006.08.008_bib27) 1986; 44
References_xml – volume: 320
  start-page: 1240
  year: 2000
  end-page: 1243
  ident: bib22
  article-title: Establishing a standard definition for child overweight and obesity worldwide: international survey
  publication-title: BMJ
– volume: 150
  start-page: 939
  year: 1999
  end-page: 946
  ident: bib5
  article-title: Monitoring childhood obesity: assessment of the weight/height index
  publication-title: Am J Epidemiol
– year: 1988
  ident: bib24
  article-title: Anthropometric standardization reference manual
– volume: 873
  start-page: 105
  year: 20 Apr 1999
  end-page: 111
  ident: bib30
  article-title: The RXc graph in evaluating and monitoring fluid balance in patients with liver cirrhosis
  publication-title: Ann N Y Acad Sci
– volume: 19
  start-page: 510
  year: 2003
  end-page: 514
  ident: bib33
  article-title: Bioimpedance vector pattern in cancer patients without disease versus locally advanced or disseminated disease
  publication-title: Nutrition
– reference: Data from Vital and Health Statistics of the Centers for Disease Control and Prevention/National Center for Health Statistics. Advance Data, no. 314, December 4, 2000.
– volume: 50
  start-page: 435
  year: 1989
  end-page: 443
  ident: bib28
  article-title: Fat-free mass in children and young adults predicted from bioelectric impedance and anthropometric variables
  publication-title: Am J Clin Nutr
– volume: 46
  start-page: 534
  year: 1994
  end-page: 539
  ident: bib20
  article-title: A new method for monitoring body fluid variation by bioimpedance analysis: The RXc graph
  publication-title: Kidney Int
– volume: 53
  start-page: 1036
  year: 1998
  end-page: 1043
  ident: bib10
  article-title: Identification of operational clues to dry weight prescription in hemodialysis using bioimpedance vector analysis. The Italian Hemodialysis-Bioelectrical Impedance Analysis (HD-BIA) Study Group
  publication-title: Kidney Int
– volume: 58
  start-page: 589
  year: 1993
  end-page: 591
  ident: bib18
  article-title: Use of dual-energy X-ray absorptiometry in body composition studies: not yet a “gold standard”
  publication-title: Am J Clin Nutr
– volume: 79
  start-page: 1
  year: 1987
  end-page: 25
  ident: bib23
  article-title: Report of the Second Task Force on Blood Pressure Control in Children—1987. Task Force on Blood Pressure Control in Children. National Heart, Lung, and Blood Institute, Bethesda, Maryland
  publication-title: Pediatrics
– volume: 29
  start-page: 148
  year: 2005
  end-page: 156
  ident: bib32
  article-title: Body mass index and agreement between bioimpedance and anthropometry estimates of body compartments in anorexia nervosa
  publication-title: JPEN J Parenter Enteral Nutr
– volume: 13
  start-page: 72
  year: 2003
  end-page: 79
  ident: bib31
  article-title: Impedance vector distribution by body mass index and conventional bioelectrical impedance analysis in obese women
  publication-title: Nutr Metab Cardiovasc Dis
– volume: 51
  start-page: 495
  year: 1997
  end-page: 503
  ident: bib17
  article-title: Comparison of body composition methods: a literature analysis
  publication-title: Eur J Clin Nutr
– volume: 79
  start-page: 94
  year: 1995
  end-page: 96
  ident: bib3
  article-title: Relative expansion of extracellular water in obese vs. normal children
  publication-title: J Appl Physiol
– volume: 19
  start-page: 247
  year: 2001
  end-page: 256
  ident: bib8
  article-title: Current methods used for defining, measuring, and trating obesity
  publication-title: Semin Urol Oncol
– volume: 16
  start-page: 417
  year: 2000
  end-page: 424
  ident: bib21
  article-title: Normal values of the bioelectrical impedance vector in childhood and puberty
  publication-title: Nutrition
– volume: 35
  start-page: 1169
  year: 1982
  end-page: 1175
  ident: bib40
  article-title: Body composition of reference children from birth to age 10
  publication-title: Am J Clin Nutr
– volume: 28
  start-page: 1517
  year: 1996
  end-page: 1522
  ident: bib39
  article-title: A new method for monitoring hydration at high altitude by bioimpedance analysis
  publication-title: Med Sci Sports Exerc
– volume: 69
  start-page: 337
  year: 1993
  end-page: 338
  ident: bib14
  article-title: Body composition assessment
  publication-title: Arch Dis Child
– volume: 40
  start-page: S278
  year: 2003
  end-page: S281
  ident: bib37
  article-title: Body mass index and skinfold thickness versus bioimpedance analysis: fat mass prediction in children
  publication-title: Acta Diabetol
– volume: 20
  start-page: 311
  year: 2000
  end-page: 318
  ident: bib11
  article-title: Comparison of vector and conventional bioelectrical impedance analysis in the optimal dry weight prescription in hemodialysis
  publication-title: Am J Nephrol
– volume: 75
  start-page: 1776
  year: 1993
  end-page: 1780
  ident: bib15
  article-title: Estimating body composition of young children by using bioelectrical resistance
  publication-title: J Appl Physiol
– year: 2002
  ident: bib29
  article-title: BIVA software
– volume: 261
  start-page: E199
  year: 1991
  end-page: E203
  ident: bib2
  article-title: Relative expansion of extracellular fluid in obese vs. nonobese women
  publication-title: Am J Physiol
– volume: 16
  start-page: 239
  year: 2006 May
  end-page: 248
  ident: bib4
  article-title: On Behalf of the Arca Project Study Group. Body mass, fat distribution and blood pressure in Southern Italian children: results of the ARCA project
  publication-title: Nutr Metab Cardiovasc Dis
– volume: 64
  start-page: 478S
  year: 1996
  end-page: 484S
  ident: bib13
  article-title: Techniques used in the measurement of body composition: an overview with emphasis on bioelectrical impedance analysis
  publication-title: Am J Clin Nutr
– volume: 63
  start-page: 299
  year: 1996
  end-page: 305
  ident: bib6
  article-title: Cross-calibration of body composition techniques against dual-energy X-ray absorptiometry in young children
  publication-title: Am J Clin Nutr
– volume: 59
  start-page: 547
  year: 1994
  end-page: 555
  ident: bib7
  article-title: Body composition in the white adult by dual-energy X-ray absorptiometry, densitometry, and total body water
  publication-title: Am J Clin Nutr
– volume: 18
  start-page: 153
  year: 2002
  end-page: 167
  ident: bib35
  article-title: Impedance vector distribution by sex, race, body mass index, and age in the United States: standard reference intervals as bivariate Z scores
  publication-title: Nutrition
– volume: 22
  start-page: 97
  year: 1998
  end-page: 104
  ident: bib38
  article-title: Discriminating between body fat and fluid changes in the obese adult using bioimpedance vector analysis
  publication-title: Int J Obes Relat Metab Disord
– volume: 12
  start-page: 749
  year: 1996
  end-page: 762
  ident: bib12
  article-title: Bioelectrical impedance analysis in body composition measurement. National Institutes of Health Technology Assessment Conference Statement, December 1994
  publication-title: Nutrition
– year: 1992
  ident: bib34
  article-title: BMDP: statistical software manual
– volume: 52
  start-page: 1617
  year: 1997
  end-page: 1621
  ident: bib9
  article-title: Bioimpedance norms for the hemodialysis population
  publication-title: Kidney Int
– volume: 9
  start-page: 605
  year: 2001
  end-page: 621
  ident: bib43
  article-title: Champagne Body composition of African American and white children: a 2-year follow-up of the BAROC study
  publication-title: Obes Res
– volume: 20
  start-page: 866
  year: 1996
  end-page: 873
  ident: bib16
  article-title: Measuring body fatness in children and young adults: comparison of bioelectric impedance analysis, total body electrical conductivity, and dual-energy X-ray absorptiometry
  publication-title: Int J Obes
– reference: Frisancho AR. Health products. Ann Arbor, MI; 1986.
– volume: 44
  start-page: 261
  year: 1990
  end-page: 268
  ident: bib41
  article-title: Assessment of body composition by bioelectrical impedance in children and young adults is strongly age dependent
  publication-title: Eur J Clin Nutr
– volume: 16
  start-page: 302
  year: 2006 May
  end-page: 308
  ident: bib1
  article-title: Understanding and preventing childhood obesity and related disorders—IDEFICS: a European multilevel epidemiological approach
  publication-title: Nutr Metab Cardiovasc Dis
– volume: 63
  start-page: 293
  year: 1990
  end-page: 303
  ident: bib36
  article-title: The assessment of the body fat percentage by skinfold thickness measurements in childhood and young adolescence
  publication-title: Br J Nutr
– volume: 28
  start-page: 132
  year: 2000
  end-page: 137
  ident: bib19
  article-title: Relationship between central venous pressure and bioimpedance vector analysis in critically ill patients
  publication-title: Crit Care Med
– volume: 60
  start-page: 1327
  year: 1986
  end-page: 1332
  ident: bib26
  article-title: Validation of tetrapolar bioelectrical impedance method to assess human body composition
  publication-title: J Appl Physiol
– volume: 44
  start-page: 417
  year: 1986
  end-page: 424
  ident: bib27
  article-title: Estimation of total body water by bioelectrical impedance analysis
  publication-title: Am J Clin Nutr
– volume: 19
  start-page: 247
  year: 2001
  ident: 10.1016/j.numecd.2006.08.008_bib8
  article-title: Current methods used for defining, measuring, and trating obesity
  publication-title: Semin Urol Oncol
– volume: 20
  start-page: 866
  year: 1996
  ident: 10.1016/j.numecd.2006.08.008_bib16
  article-title: Measuring body fatness in children and young adults: comparison of bioelectric impedance analysis, total body electrical conductivity, and dual-energy X-ray absorptiometry
  publication-title: Int J Obes
– volume: 18
  start-page: 153
  year: 2002
  ident: 10.1016/j.numecd.2006.08.008_bib35
  article-title: Impedance vector distribution by sex, race, body mass index, and age in the United States: standard reference intervals as bivariate Z scores
  publication-title: Nutrition
  doi: 10.1016/S0899-9007(01)00665-7
– volume: 150
  start-page: 939
  year: 1999
  ident: 10.1016/j.numecd.2006.08.008_bib5
  article-title: Monitoring childhood obesity: assessment of the weight/height index
  publication-title: Am J Epidemiol
  doi: 10.1093/oxfordjournals.aje.a010102
– volume: 873
  start-page: 105
  year: 1999
  ident: 10.1016/j.numecd.2006.08.008_bib30
  article-title: The RXc graph in evaluating and monitoring fluid balance in patients with liver cirrhosis
  publication-title: Ann N Y Acad Sci
  doi: 10.1111/j.1749-6632.1999.tb09456.x
– volume: 60
  start-page: 1327
  issue: 4
  year: 1986
  ident: 10.1016/j.numecd.2006.08.008_bib26
  article-title: Validation of tetrapolar bioelectrical impedance method to assess human body composition
  publication-title: J Appl Physiol
  doi: 10.1152/jappl.1986.60.4.1327
– volume: 79
  start-page: 94
  issue: 1
  year: 1995
  ident: 10.1016/j.numecd.2006.08.008_bib3
  article-title: Relative expansion of extracellular water in obese vs. normal children
  publication-title: J Appl Physiol
  doi: 10.1152/jappl.1995.79.1.94
– volume: 12
  start-page: 749
  year: 1996
  ident: 10.1016/j.numecd.2006.08.008_bib12
  article-title: Bioelectrical impedance analysis in body composition measurement. National Institutes of Health Technology Assessment Conference Statement, December 1994
  publication-title: Nutrition
– volume: 75
  start-page: 1776
  year: 1993
  ident: 10.1016/j.numecd.2006.08.008_bib15
  article-title: Estimating body composition of young children by using bioelectrical resistance
  publication-title: J Appl Physiol
  doi: 10.1152/jappl.1993.75.4.1776
– volume: 58
  start-page: 589
  year: 1993
  ident: 10.1016/j.numecd.2006.08.008_bib18
  article-title: Use of dual-energy X-ray absorptiometry in body composition studies: not yet a “gold standard”
  publication-title: Am J Clin Nutr
  doi: 10.1093/ajcn/58.5.589
– ident: 10.1016/j.numecd.2006.08.008_bib42
– ident: 10.1016/j.numecd.2006.08.008_bib25
– volume: 52
  start-page: 1617
  year: 1997
  ident: 10.1016/j.numecd.2006.08.008_bib9
  article-title: Bioimpedance norms for the hemodialysis population
  publication-title: Kidney Int
  doi: 10.1038/ki.1997.493
– volume: 46
  start-page: 534
  year: 1994
  ident: 10.1016/j.numecd.2006.08.008_bib20
  article-title: A new method for monitoring body fluid variation by bioimpedance analysis: The RXc graph
  publication-title: Kidney Int
  doi: 10.1038/ki.1994.305
– volume: 29
  start-page: 148
  issue: 3
  year: 2005
  ident: 10.1016/j.numecd.2006.08.008_bib32
  article-title: Body mass index and agreement between bioimpedance and anthropometry estimates of body compartments in anorexia nervosa
  publication-title: JPEN J Parenter Enteral Nutr
  doi: 10.1177/0148607105029003148
– volume: 19
  start-page: 510
  issue: 6
  year: 2003
  ident: 10.1016/j.numecd.2006.08.008_bib33
  article-title: Bioimpedance vector pattern in cancer patients without disease versus locally advanced or disseminated disease
  publication-title: Nutrition
  doi: 10.1016/S0899-9007(02)01084-5
– volume: 16
  start-page: 239
  issue: 4
  year: 2006
  ident: 10.1016/j.numecd.2006.08.008_bib4
  article-title: On Behalf of the Arca Project Study Group. Body mass, fat distribution and blood pressure in Southern Italian children: results of the ARCA project
  publication-title: Nutr Metab Cardiovasc Dis
  doi: 10.1016/j.numecd.2006.02.005
– year: 2002
  ident: 10.1016/j.numecd.2006.08.008_bib29
– volume: 28
  start-page: 1517
  year: 1996
  ident: 10.1016/j.numecd.2006.08.008_bib39
  article-title: A new method for monitoring hydration at high altitude by bioimpedance analysis
  publication-title: Med Sci Sports Exerc
  doi: 10.1097/00005768-199612000-00012
– volume: 51
  start-page: 495
  year: 1997
  ident: 10.1016/j.numecd.2006.08.008_bib17
  article-title: Comparison of body composition methods: a literature analysis
  publication-title: Eur J Clin Nutr
  doi: 10.1038/sj.ejcn.1600448
– volume: 13
  start-page: 72
  issue: 2
  year: 2003
  ident: 10.1016/j.numecd.2006.08.008_bib31
  article-title: Impedance vector distribution by body mass index and conventional bioelectrical impedance analysis in obese women
  publication-title: Nutr Metab Cardiovasc Dis
  doi: 10.1016/S0939-4753(03)80021-2
– volume: 35
  start-page: 1169
  issue: Suppl. 5
  year: 1982
  ident: 10.1016/j.numecd.2006.08.008_bib40
  article-title: Body composition of reference children from birth to age 10y
  publication-title: Am J Clin Nutr
  doi: 10.1093/ajcn/35.5.1169
– volume: 53
  start-page: 1036
  year: 1998
  ident: 10.1016/j.numecd.2006.08.008_bib10
  article-title: Identification of operational clues to dry weight prescription in hemodialysis using bioimpedance vector analysis. The Italian Hemodialysis-Bioelectrical Impedance Analysis (HD-BIA) Study Group
  publication-title: Kidney Int
  doi: 10.1111/j.1523-1755.1998.00843.x
– volume: 16
  start-page: 302
  issue: 4
  year: 2006
  ident: 10.1016/j.numecd.2006.08.008_bib1
  article-title: Understanding and preventing childhood obesity and related disorders—IDEFICS: a European multilevel epidemiological approach
  publication-title: Nutr Metab Cardiovasc Dis
  doi: 10.1016/j.numecd.2006.01.011
– volume: 28
  start-page: 132
  year: 2000
  ident: 10.1016/j.numecd.2006.08.008_bib19
  article-title: Relationship between central venous pressure and bioimpedance vector analysis in critically ill patients
  publication-title: Crit Care Med
  doi: 10.1097/00003246-200001000-00022
– volume: 40
  start-page: S278
  year: 2003
  ident: 10.1016/j.numecd.2006.08.008_bib37
  article-title: Body mass index and skinfold thickness versus bioimpedance analysis: fat mass prediction in children
  publication-title: Acta Diabetol
  doi: 10.1007/s00592-003-0086-y
– volume: 9
  start-page: 605
  year: 2001
  ident: 10.1016/j.numecd.2006.08.008_bib43
  article-title: Champagne Body composition of African American and white children: a 2-year follow-up of the BAROC study
  publication-title: Obes Res
  doi: 10.1038/oby.2001.80
– volume: 79
  start-page: 1
  issue: 1
  year: 1987
  ident: 10.1016/j.numecd.2006.08.008_bib23
  article-title: Report of the Second Task Force on Blood Pressure Control in Children—1987. Task Force on Blood Pressure Control in Children. National Heart, Lung, and Blood Institute, Bethesda, Maryland
  publication-title: Pediatrics
  doi: 10.1542/peds.79.1.1
– volume: 261
  start-page: E199
  issue: 2 Pt 1
  year: 1991
  ident: 10.1016/j.numecd.2006.08.008_bib2
  article-title: Relative expansion of extracellular fluid in obese vs. nonobese women
  publication-title: Am J Physiol
– volume: 44
  start-page: 417
  year: 1986
  ident: 10.1016/j.numecd.2006.08.008_bib27
  article-title: Estimation of total body water by bioelectrical impedance analysis
  publication-title: Am J Clin Nutr
  doi: 10.1093/ajcn/44.3.417
– volume: 63
  start-page: 299
  year: 1996
  ident: 10.1016/j.numecd.2006.08.008_bib6
  article-title: Cross-calibration of body composition techniques against dual-energy X-ray absorptiometry in young children
  publication-title: Am J Clin Nutr
  doi: 10.1093/ajcn/63.3.299
– volume: 44
  start-page: 261
  year: 1990
  ident: 10.1016/j.numecd.2006.08.008_bib41
  article-title: Assessment of body composition by bioelectrical impedance in children and young adults is strongly age dependent
  publication-title: Eur J Clin Nutr
– volume: 69
  start-page: 337
  issue: 3
  year: 1993
  ident: 10.1016/j.numecd.2006.08.008_bib14
  article-title: Body composition assessment
  publication-title: Arch Dis Child
  doi: 10.1136/adc.69.3.337
– volume: 16
  start-page: 417
  issue: 6
  year: 2000
  ident: 10.1016/j.numecd.2006.08.008_bib21
  article-title: Normal values of the bioelectrical impedance vector in childhood and puberty
  publication-title: Nutrition
  doi: 10.1016/S0899-9007(00)00269-0
– volume: 50
  start-page: 435
  issue: 3
  year: 1989
  ident: 10.1016/j.numecd.2006.08.008_bib28
  article-title: Fat-free mass in children and young adults predicted from bioelectric impedance and anthropometric variables
  publication-title: Am J Clin Nutr
  doi: 10.1093/ajcn/50.3.435
– year: 1992
  ident: 10.1016/j.numecd.2006.08.008_bib34
– year: 1988
  ident: 10.1016/j.numecd.2006.08.008_bib24
– volume: 63
  start-page: 293
  year: 1990
  ident: 10.1016/j.numecd.2006.08.008_bib36
  article-title: The assessment of the body fat percentage by skinfold thickness measurements in childhood and young adolescence
  publication-title: Br J Nutr
  doi: 10.1079/BJN19900116
– volume: 64
  start-page: 478S
  year: 1996
  ident: 10.1016/j.numecd.2006.08.008_bib13
  article-title: Techniques used in the measurement of body composition: an overview with emphasis on bioelectrical impedance analysis
  publication-title: Am J Clin Nutr
  doi: 10.1093/ajcn/64.3.478S
– volume: 20
  start-page: 311
  year: 2000
  ident: 10.1016/j.numecd.2006.08.008_bib11
  article-title: Comparison of vector and conventional bioelectrical impedance analysis in the optimal dry weight prescription in hemodialysis
  publication-title: Am J Nephrol
  doi: 10.1159/000013606
– volume: 59
  start-page: 547
  year: 1994
  ident: 10.1016/j.numecd.2006.08.008_bib7
  article-title: Body composition in the white adult by dual-energy X-ray absorptiometry, densitometry, and total body water
  publication-title: Am J Clin Nutr
  doi: 10.1093/ajcn/59.3.547
– volume: 22
  start-page: 97
  year: 1998
  ident: 10.1016/j.numecd.2006.08.008_bib38
  article-title: Discriminating between body fat and fluid changes in the obese adult using bioimpedance vector analysis
  publication-title: Int J Obes Relat Metab Disord
  doi: 10.1038/sj.ijo.0800551
– volume: 320
  start-page: 1240
  issue: 7244
  year: 2000
  ident: 10.1016/j.numecd.2006.08.008_bib22
  article-title: Establishing a standard definition for child overweight and obesity worldwide: international survey
  publication-title: BMJ
  doi: 10.1136/bmj.320.7244.1240
SSID ssj0037034
Score 1.9739623
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...
SourceID proquest
pubmed
crossref
elsevier
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 133
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
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0939475306001785
https://www.clinicalkey.es/playcontent/1-s2.0-S0939475306001785
https://dx.doi.org/10.1016/j.numecd.2006.08.008
https://www.ncbi.nlm.nih.gov/pubmed/17307345
https://www.proquest.com/docview/70340636
Volume 18
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwELYQlVAvFYU-oBR84OpusvErx2XV1QILQm2RuFlObEuLaIKapdJe-ts7kzi0qEWLOEWJPHIy_jz-HM-DkEPpZPClEqwI1jOuQ8ksAIdxK3ySep8lAaORz87l9JKfXImrNTLuY2HQrTLa_s6mt9Y6PhlEbQ5u5_PBV9iL5xzYdiK7GvMYwQ73gOlPv-7dPDJAdJtCKscTT2jdh8-1Pl4VzP_SxSMJdKrUjy1Pj9HPdhmabJJXkT_SUfeKr8mar7bIxlk8Id8ms6PaLel3oMS0TYRIbeVoMa-7cjc4IvRn-6OeOkyZG6tdQVuq2RJQz-obR_sI7zfkcvL523jKYsUEVnKpF0wGLoVSIijn0sRl0gbthrAMetw4OVGkvtBSeWAFMvMZL3Kbaik86M0WXPDsLVmv6sq_JzQJQSS4u8qBooigcyuVckByfepEKfUOyXpFmTKmE8eqFjem9xu7Np16sdKlNFjsMgEpdi9126XTWNFe9GNg-lBRMG4G7P0KOfU_Od_EGdqY1DRDk5h_UPS35AMgPqHPgx4kBuYoHrzYytd3jUEMAhWUO-Rdh50_367QxnKx--xeP5CXnQsLetjskfXFjzv_EXjSothvJ8I-eTEaf5ld4PX4dHr-G1IREuE
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB4tWwl6QVAoLK_1oVdrk8avHEtFtWUfF1qpN8uJbWlRSSp2W2n_PePE5iFYteIaeeRkPP78OfMCOBJWeFdLTitvHGXK19Sg4VBmuMty54rMh2zkxVJML9nnK341gNOUCxPCKiP295jeoXV8MonanNysVpMveBcvGbLtTPQ95h_BXqhOxYawd3I-my4TIBdo1F0VqTI4PVEgZdB1YV4NQkBto1cixFWqXSfULgbanURnz-BppJDkpH_L5zBwzQE8XkQn-QuYf2ztlnxDVky6WojENJZUq7bveBMWhdx1_-qJDVVzY8MrHEsU3aLh0_bakpTk_RIuzz5dnE5pbJpAaybUhgrPBJeSe2ltntlCGK_sMZ6ELtydLK9yVykhHRIDUbiCVaXJleCOMWkq1F9xCMOmbdxrIJn3PAsXrBJZCveqNEJKizzX5ZbXQo2gSIrSdawoHhpbXOsUOvZV9-oNzS6FDv0uM5SiP6Vu-ooa94znaQ10yhZFfNMI-ffIyX_JuXXcpGud6_WxzvRfhvS75B-2-IA5x8lING7T4HsxjWtv1zrYILJBMYJXve38-nYZYJbxN_896xieTC8Wcz0_X87ewn4f0RICbt7BcPP91r1H2rSpPsRt8QMXLBP9
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Body+mass+index+and+bioelectrical+vector+distribution+in+8-year-old+children&rft.jtitle=Nutrition%2C+metabolism%2C+and+cardiovascular+diseases&rft.au=Guida%2C+Bruna&rft.au=Pietrobelli%2C+Angelo&rft.au=Trio%2C+Rossella&rft.au=Laccetti%2C+Roberta&rft.date=2008-02-01&rft.eissn=1590-3729&rft.volume=18&rft.issue=2&rft.spage=133&rft_id=info:doi/10.1016%2Fj.numecd.2006.08.008&rft_id=info%3Apmid%2F17307345&rft.externalDocID=17307345
thumbnail_m http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F09394753%2FS0939475308X0002X%2Fcov150h.gif