Segmental body composition transitions in stroke patients: Trunks are different from extremities and strokes are as important as hemiparesis

Loss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and their influence on segmental body composition. This study aimed to evaluate the changes of body composition in the extremities and trunk of stro...

Full description

Saved in:
Bibliographic Details
Published inClinical nutrition (Edinburgh, Scotland) Vol. 39; no. 6; pp. 1968 - 1973
Main Authors Chang, Ke-Vin, Wu, Wei-Ting, Huang, Kuo-Chin, Han, Der-Sheng
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.06.2020
Subjects
Online AccessGet full text
ISSN0261-5614
1532-1983
1532-1983
DOI10.1016/j.clnu.2019.08.024

Cover

Abstract Loss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and their influence on segmental body composition. This study aimed to evaluate the changes of body composition in the extremities and trunk of stroke patients in comparison with those of the healthy controls. Stroke patients with an onset of longer than 6 months and healthy participants matched by age and gender were recruited. Body weight, height, grip strength, and gait speed were measured, and a dual-energy x-ray absorptiometry was used to evaluate body composition. The generalized estimation equation model was employed to explore factors influencing extremity body composition, whereas those influencing the trunk body composition were analyzed using the general linear model. The study included 37 stroke patients and 37 healthy controls. The stroke group had significantly slower gait speeds, weaker hand grip strength, and a lower skeletal muscle index than the controls. Using 7.0 kg/m2 for men and 5.14 kg/m2 for women as the cutoff value for the skeletal muscle index, the prevalence of sarcopenia in our stroke group was found to be 48.6% (18/37). Being a stroke patient was associated with a decrease in bone (β = −21.89 g, p = 0.001) and lean mass (β = −210.46 g, p = 0.031) of the upper extremity and bone mass (β = −39.28 g, p = 0.008) of the lower extremity, regardless of the presence of limb paralysis. The limbs on the hemiplegic side had a further decline of extremity bone and lean mass. The stroke patients had an increase in trunk fat mass (β = 1392.68 g, p = 0.004) but not that of the extremities. Having a stroke and hemiparesis are both associated with body composition changes of the extremities, especially for bone and lean mass. A stroke is likely to increase the fat mass of the trunk rather than that of the extremities. A future cohort study is needed to clarify the causal relationship between stroke and transition of body composition and to investigate whether these changes are related to the disease prognosis or can be reversed by exercise and nutritional support.
AbstractList Loss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and their influence on segmental body composition. This study aimed to evaluate the changes of body composition in the extremities and trunk of stroke patients in comparison with those of the healthy controls.Stroke patients with an onset of longer than 6 months and healthy participants matched by age and gender were recruited. Body weight, height, grip strength, and gait speed were measured, and a dual-energy x-ray absorptiometry was used to evaluate body composition. The generalized estimation equation model was employed to explore factors influencing extremity body composition, whereas those influencing the trunk body composition were analyzed using the general linear model.The study included 37 stroke patients and 37 healthy controls. The stroke group had significantly slower gait speeds, weaker hand grip strength, and a lower skeletal muscle index than the controls. Using 7.0 kg/m² for men and 5.14 kg/m² for women as the cutoff value for the skeletal muscle index, the prevalence of sarcopenia in our stroke group was found to be 48.6% (18/37). Being a stroke patient was associated with a decrease in bone (β = −21.89 g, p = 0.001) and lean mass (β = −210.46 g, p = 0.031) of the upper extremity and bone mass (β = −39.28 g, p = 0.008) of the lower extremity, regardless of the presence of limb paralysis. The limbs on the hemiplegic side had a further decline of extremity bone and lean mass. The stroke patients had an increase in trunk fat mass (β = 1392.68 g, p = 0.004) but not that of the extremities.Having a stroke and hemiparesis are both associated with body composition changes of the extremities, especially for bone and lean mass. A stroke is likely to increase the fat mass of the trunk rather than that of the extremities. A future cohort study is needed to clarify the causal relationship between stroke and transition of body composition and to investigate whether these changes are related to the disease prognosis or can be reversed by exercise and nutritional support.
Loss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and their influence on segmental body composition. This study aimed to evaluate the changes of body composition in the extremities and trunk of stroke patients in comparison with those of the healthy controls. Stroke patients with an onset of longer than 6 months and healthy participants matched by age and gender were recruited. Body weight, height, grip strength, and gait speed were measured, and a dual-energy x-ray absorptiometry was used to evaluate body composition. The generalized estimation equation model was employed to explore factors influencing extremity body composition, whereas those influencing the trunk body composition were analyzed using the general linear model. The study included 37 stroke patients and 37 healthy controls. The stroke group had significantly slower gait speeds, weaker hand grip strength, and a lower skeletal muscle index than the controls. Using 7.0 kg/m2 for men and 5.14 kg/m2 for women as the cutoff value for the skeletal muscle index, the prevalence of sarcopenia in our stroke group was found to be 48.6% (18/37). Being a stroke patient was associated with a decrease in bone (β = −21.89 g, p = 0.001) and lean mass (β = −210.46 g, p = 0.031) of the upper extremity and bone mass (β = −39.28 g, p = 0.008) of the lower extremity, regardless of the presence of limb paralysis. The limbs on the hemiplegic side had a further decline of extremity bone and lean mass. The stroke patients had an increase in trunk fat mass (β = 1392.68 g, p = 0.004) but not that of the extremities. Having a stroke and hemiparesis are both associated with body composition changes of the extremities, especially for bone and lean mass. A stroke is likely to increase the fat mass of the trunk rather than that of the extremities. A future cohort study is needed to clarify the causal relationship between stroke and transition of body composition and to investigate whether these changes are related to the disease prognosis or can be reversed by exercise and nutritional support.
Loss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and their influence on segmental body composition. This study aimed to evaluate the changes of body composition in the extremities and trunk of stroke patients in comparison with those of the healthy controls.BACKGROUND & AIMSLoss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and their influence on segmental body composition. This study aimed to evaluate the changes of body composition in the extremities and trunk of stroke patients in comparison with those of the healthy controls.Stroke patients with an onset of longer than 6 months and healthy participants matched by age and gender were recruited. Body weight, height, grip strength, and gait speed were measured, and a dual-energy x-ray absorptiometry was used to evaluate body composition. The generalized estimation equation model was employed to explore factors influencing extremity body composition, whereas those influencing the trunk body composition were analyzed using the general linear model.METHODSStroke patients with an onset of longer than 6 months and healthy participants matched by age and gender were recruited. Body weight, height, grip strength, and gait speed were measured, and a dual-energy x-ray absorptiometry was used to evaluate body composition. The generalized estimation equation model was employed to explore factors influencing extremity body composition, whereas those influencing the trunk body composition were analyzed using the general linear model.The study included 37 stroke patients and 37 healthy controls. The stroke group had significantly slower gait speeds, weaker hand grip strength, and a lower skeletal muscle index than the controls. Using 7.0 kg/m2 for men and 5.14 kg/m2 for women as the cutoff value for the skeletal muscle index, the prevalence of sarcopenia in our stroke group was found to be 48.6% (18/37). Being a stroke patient was associated with a decrease in bone (β = -21.89 g, p = 0.001) and lean mass (β = -210.46 g, p = 0.031) of the upper extremity and bone mass (β = -39.28 g, p = 0.008) of the lower extremity, regardless of the presence of limb paralysis. The limbs on the hemiplegic side had a further decline of extremity bone and lean mass. The stroke patients had an increase in trunk fat mass (β = 1392.68 g, p = 0.004) but not that of the extremities.RESULTSThe study included 37 stroke patients and 37 healthy controls. The stroke group had significantly slower gait speeds, weaker hand grip strength, and a lower skeletal muscle index than the controls. Using 7.0 kg/m2 for men and 5.14 kg/m2 for women as the cutoff value for the skeletal muscle index, the prevalence of sarcopenia in our stroke group was found to be 48.6% (18/37). Being a stroke patient was associated with a decrease in bone (β = -21.89 g, p = 0.001) and lean mass (β = -210.46 g, p = 0.031) of the upper extremity and bone mass (β = -39.28 g, p = 0.008) of the lower extremity, regardless of the presence of limb paralysis. The limbs on the hemiplegic side had a further decline of extremity bone and lean mass. The stroke patients had an increase in trunk fat mass (β = 1392.68 g, p = 0.004) but not that of the extremities.Having a stroke and hemiparesis are both associated with body composition changes of the extremities, especially for bone and lean mass. A stroke is likely to increase the fat mass of the trunk rather than that of the extremities. A future cohort study is needed to clarify the causal relationship between stroke and transition of body composition and to investigate whether these changes are related to the disease prognosis or can be reversed by exercise and nutritional support.CONCLUSIONSHaving a stroke and hemiparesis are both associated with body composition changes of the extremities, especially for bone and lean mass. A stroke is likely to increase the fat mass of the trunk rather than that of the extremities. A future cohort study is needed to clarify the causal relationship between stroke and transition of body composition and to investigate whether these changes are related to the disease prognosis or can be reversed by exercise and nutritional support.
Loss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and their influence on segmental body composition. This study aimed to evaluate the changes of body composition in the extremities and trunk of stroke patients in comparison with those of the healthy controls. Stroke patients with an onset of longer than 6 months and healthy participants matched by age and gender were recruited. Body weight, height, grip strength, and gait speed were measured, and a dual-energy x-ray absorptiometry was used to evaluate body composition. The generalized estimation equation model was employed to explore factors influencing extremity body composition, whereas those influencing the trunk body composition were analyzed using the general linear model. The study included 37 stroke patients and 37 healthy controls. The stroke group had significantly slower gait speeds, weaker hand grip strength, and a lower skeletal muscle index than the controls. Using 7.0 kg/m for men and 5.14 kg/m for women as the cutoff value for the skeletal muscle index, the prevalence of sarcopenia in our stroke group was found to be 48.6% (18/37). Being a stroke patient was associated with a decrease in bone (β = -21.89 g, p = 0.001) and lean mass (β = -210.46 g, p = 0.031) of the upper extremity and bone mass (β = -39.28 g, p = 0.008) of the lower extremity, regardless of the presence of limb paralysis. The limbs on the hemiplegic side had a further decline of extremity bone and lean mass. The stroke patients had an increase in trunk fat mass (β = 1392.68 g, p = 0.004) but not that of the extremities. Having a stroke and hemiparesis are both associated with body composition changes of the extremities, especially for bone and lean mass. A stroke is likely to increase the fat mass of the trunk rather than that of the extremities. A future cohort study is needed to clarify the causal relationship between stroke and transition of body composition and to investigate whether these changes are related to the disease prognosis or can be reversed by exercise and nutritional support.
Loss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and their influence on segmental body composition. This study aimed to evaluate the changes of body composition in the extremities and trunk of stroke patients in comparison with those of the healthy controls.Stroke patients with an onset of longer than 6 months and healthy participants matched by age and gender were recruited. Body weight, height, grip strength, and gait speed were measured, and a dual-energy x-ray absorptiometry was used to evaluate body composition. The generalized estimation equation model was employed to explore factors influencing extremity body composition, whereas those influencing the trunk body composition were analyzed using the general linear model.The study included 37 stroke patients and 37 healthy controls. The stroke group had significantly slower gait speeds, weaker hand grip strength, and a lower skeletal muscle index than the controls. Using 7.0 kg/m2 for men and 5.14 kg/m2 for women as the cutoff value for the skeletal muscle index, the prevalence of sarcopenia in our stroke group was found to be 48.6% (18/37). Being a stroke patient was associated with a decrease in bone (β = −21.89 g, p = 0.001) and lean mass (β = −210.46 g, p = 0.031) of the upper extremity and bone mass (β = −39.28 g, p = 0.008) of the lower extremity, regardless of the presence of limb paralysis. The limbs on the hemiplegic side had a further decline of extremity bone and lean mass. The stroke patients had an increase in trunk fat mass (β = 1392.68 g, p = 0.004) but not that of the extremities.Having a stroke and hemiparesis are both associated with body composition changes of the extremities, especially for bone and lean mass. A stroke is likely to increase the fat mass of the trunk rather than that of the extremities. A future cohort study is needed to clarify the causal relationship between stroke and transition of body composition and to investigate whether these changes are related to the disease prognosis or can be reversed by exercise and nutritional support.
Author Chang, Ke-Vin
Han, Der-Sheng
Wu, Wei-Ting
Huang, Kuo-Chin
Author_xml – sequence: 1
  givenname: Ke-Vin
  surname: Chang
  fullname: Chang, Ke-Vin
  organization: Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taiwan
– sequence: 2
  givenname: Wei-Ting
  surname: Wu
  fullname: Wu, Wei-Ting
  organization: Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taiwan
– sequence: 3
  givenname: Kuo-Chin
  surname: Huang
  fullname: Huang, Kuo-Chin
  organization: Community and Geriatric Medicine Research Center, National Taiwan University Hospital, Bei-Hu Branch, Taiwan
– sequence: 4
  givenname: Der-Sheng
  surname: Han
  fullname: Han, Der-Sheng
  email: dshan1121@yahoo.com.tw
  organization: Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taiwan
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31522786$$D View this record in MEDLINE/PubMed
BookMark eNqNks1u1DAQgC1URLeFF-CAfOSSxT9xYldcUMWfVIkD5Wx57Ql4N7EX26nYd-Ch8SrbSw8tJ9sz3zeWZuYCnYUYAKHXlKwpod277dqOYV4zQtWayDVh7TO0ooKzhirJz9CKsI42oqPtObrIeUsIEbyXL9A5p4KxXnYr9Pc7_JwgFDPiTXQHbOO0j9kXHwMuyYTlmrEPOJcUd4D3pvgq5Ct8m-awy9gkwM4PA6QaxkOKE4Y_JcFUVajp4E7qgpparP6Riql0ffyq4L4mss8v0fPBjBlenc5L9OPTx9vrL83Nt89frz_cNFZwVRrpuOlFb1vSKdo5LtraDiO4HYR0xHFHzKCY4e0grd1wy4RyrMbtplVDJzm_RG-XuvsUf8-Qi558tjCOJkCcs2ZKCsl61XVPo8dWSqHkf6BMESVES0hF35zQeTOB0_vkJ5MO-n4uFZALYFPMOcGgrS_mOIo6FD9qSvRxBfRWH1dAH1dAE6nrClSVPVDvqz8qvV8kqG2_85B0tnXKFpxPYIt20T-uXz3Q7eiDt2bcweEp-R-U0eA-
CitedBy_id crossref_primary_10_1016_j_ejrad_2023_110808
crossref_primary_10_1186_s12955_021_01847_0
crossref_primary_10_1016_j_jamda_2020_08_003
crossref_primary_10_33667_2078_5631_2023_26_21_26
crossref_primary_10_1007_s10143_024_03143_z
crossref_primary_10_1080_10749357_2024_2409000
crossref_primary_10_3390_ijerph17145134
crossref_primary_10_23736_S1973_9087_22_07514_1
crossref_primary_10_3390_nu15010113
crossref_primary_10_1007_s40620_020_00871_5
crossref_primary_10_1016_j_jstrokecerebrovasdis_2024_107954
crossref_primary_10_4236_health_2022_148063
crossref_primary_10_1016_j_clnu_2020_06_037
crossref_primary_10_3390_app10030920
crossref_primary_10_3892_wasj_2025_312
crossref_primary_10_15857_ksep_2024_00248
crossref_primary_10_4235_agmr_22_0033
crossref_primary_10_1016_j_jamda_2023_11_021
crossref_primary_10_1016_j_pmr_2023_07_006
crossref_primary_10_1016_j_matpr_2020_10_723
crossref_primary_10_3390_electronics11111727
Cites_doi 10.1016/j.jamda.2014.12.007
10.1016/j.exger.2018.03.019
10.1093/ageing/afx094
10.1016/j.jsams.2015.05.001
10.1186/s12883-015-0328-y
10.1016/j.clnu.2017.09.009
10.1016/j.bone.2014.11.007
10.1093/ageing/afq034
10.1016/j.jchb.2015.02.008
10.1111/j.1747-4949.2012.00824.x
10.1016/S8756-3282(01)00434-3
10.1161/CIRCRESAHA.116.308413
10.1038/srep19457
10.1177/1545968311408920
10.1191/026921501669958740
10.1016/j.clnu.2016.12.002
10.1159/000484950
10.2307/2531734
10.1016/j.wneu.2011.07.023
10.3945/ajcn.2010.28608A
10.1016/j.jamda.2016.09.013
10.1007/s00198-015-3404-7
10.1161/STROKEAHA.114.006258
ContentType Journal Article
Copyright 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism
Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
Copyright_xml – notice: 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism
– notice: Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
DBID AAYXX
CITATION
NPM
7X8
7S9
L.6
DOI 10.1016/j.clnu.2019.08.024
DatabaseName CrossRef
PubMed
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
PubMed
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList AGRICOLA

MEDLINE - Academic
PubMed
AGRICOLA

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
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Diet & Clinical Nutrition
EISSN 1532-1983
EndPage 1973
ExternalDocumentID 31522786
10_1016_j_clnu_2019_08_024
S0261561419330365
Genre Research Support, Non-U.S. Gov't
Journal Article
GroupedDBID ---
--K
--M
.1-
.FO
.GJ
.~1
0R~
1B1
1P~
1RT
1~.
1~5
29B
4.4
457
4G.
53G
5GY
5VS
6PF
7-5
71M
8P~
9JM
AABNK
AAEDT
AAEDW
AAHBH
AAIKJ
AAKOC
AALRI
AAOAW
AAQXK
AATTM
AAWTL
AAXKI
AAXUO
AAYWO
ABBQC
ABJNI
ABLJU
ABMAC
ABMZM
ABWVN
ABXDB
ACDAQ
ACGFS
ACIEU
ACJTP
ACRLP
ACRPL
ACVFH
ADBBV
ADCNI
ADEZE
ADHUB
ADMUD
ADNMO
ADVLN
AEBSH
AEIPS
AEKER
AENEX
AEUPX
AEVXI
AFJKZ
AFPUW
AFRHN
AFTJW
AFXBA
AFXIZ
AGCQF
AGHFR
AGQPQ
AGUBO
AGYEJ
AHHHB
AIEXJ
AIGII
AIIUN
AIKHN
AITUG
AJRQY
AJUYK
AKBMS
AKRWK
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
ANZVX
APXCP
ASPBG
AVWKF
AXJTR
AZFZN
BKOJK
BLXMC
BNPGV
CAG
COF
CS3
DU5
E.L
EBS
EFJIC
EFKBS
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-2
G-Q
GBLVA
HDZ
HMK
HMO
HVGLF
HZ~
IHE
J1W
KOM
LZ1
M29
M2W
M41
MO0
N9A
O-L
O9-
OAUVE
OC.
ON0
OZT
P-8
P-9
P2P
PC.
Q38
R2-
ROL
RPZ
SAE
SCC
SDF
SDG
SEL
SES
SEW
SNG
SNH
SPCBC
SSH
SSZ
T5K
UAP
UHS
UV1
WUQ
Z5R
ZGI
~G-
AACTN
AAIAV
AAQFI
ABLVK
ABYKQ
AFCTW
AFKWA
AISVY
AJBFU
AJOXV
AMFUW
EFLBG
LCYCR
NAHTW
RIG
AAYXX
AGRNS
CITATION
NPM
7X8
ACLOT
~HD
7S9
L.6
ID FETCH-LOGICAL-c539t-8d3a757c406916d354101a53cf58d0d3d0af92a34f8ccb3c259d20d3cb49f6833
IEDL.DBID AIKHN
ISSN 0261-5614
1532-1983
IngestDate Sun Sep 28 03:25:58 EDT 2025
Sat Sep 27 17:59:11 EDT 2025
Sun Sep 28 09:13:17 EDT 2025
Thu Apr 03 07:04:18 EDT 2025
Thu Apr 24 22:54:55 EDT 2025
Tue Jul 01 00:55:22 EDT 2025
Fri Feb 23 02:47:08 EST 2024
Tue Aug 26 17:16:52 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 6
Keywords Bone mineral content
Sarcopenia
Osteoporosis
Muscle
Rehabilitation
Language English
License Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c539t-8d3a757c406916d354101a53cf58d0d3d0af92a34f8ccb3c259d20d3cb49f6833
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
PMID 31522786
PQID 2290955400
PQPubID 24069
PageCount 6
ParticipantIDs proquest_miscellaneous_2985827966
proquest_miscellaneous_2315285986
proquest_miscellaneous_2290955400
pubmed_primary_31522786
crossref_citationtrail_10_1016_j_clnu_2019_08_024
crossref_primary_10_1016_j_clnu_2019_08_024
elsevier_sciencedirect_doi_10_1016_j_clnu_2019_08_024
elsevier_clinicalkey_doi_10_1016_j_clnu_2019_08_024
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-06-01
PublicationDateYYYYMMDD 2020-06-01
PublicationDate_xml – month: 06
  year: 2020
  text: 2020-06-01
  day: 01
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
PublicationTitle Clinical nutrition (Edinburgh, Scotland)
PublicationTitleAlternate Clin Nutr
PublicationYear 2020
Publisher Elsevier Ltd
Publisher_xml – name: Elsevier Ltd
References Krzykala, Leszczynski (bib20) 2015; 66
Evans (bib21) 2010; 91
Olofindayo, Peng, Liu, Li, Zhang, Wang (bib24) 2015; 15
Scherbakov, Sandek, Doehner (bib9) 2015; 16
Uluduz, Adil, Rahim, Gilani, Rahman, Gilani (bib10) 2014; 7
Taddei, Falcinelli, Balistreri, Henys, Baruffaldi, Sigurdsson (bib19) 2016; 27
Jorgensen, Jacobsen (bib5) 2001; 28
Yoshimura, Wakabayashi, Bise, Tanoue (bib3) 2018 Dec; 37
Ryan, Buscemi, Forrester, Hafer-Macko, Ivey (bib12) 2011; 25
Zeger, Liang, Albert (bib17) 1988; 44
Chang, Hsu, Wu, Huang, Han (bib7) 2017; 46
Han, Chang, Li, Lin, Kao, Tsai (bib14) 2016; 6
Cullen, Donohoe, McGoldrick, McCaffrey, Davenport, Byrne (bib16) 2016; 19
Chang, Chen, Wu, Huang, Hsu, Han (bib8) 2018; 7
Springer, Schust, Peske, Tschirner, Rex, Engel (bib23) 2014; 45
Harris, Polkey, Bath, Moxham (bib4) 2001; 15
Shiraishi, Yoshimura, Wakabayashi, Tsuji (bib22) 2018; 37
Chang, Hsu, Wu, Huang, Han (bib6) 2016; 17
Feigin, Norrving, Mensah (bib2) 2017; 120
Lin, Chang, Kuo, Yu, Yang, Lin (bib11) 2015; 72
Cruz-Jentoft, Baeyens, Bauer, Boirie, Cederholm, Landi (bib18) 2010; 39
Mukherjee, Patil (bib1) 2011; 76
English, Thoirs, Coates, Ryan, Bernhardt (bib13) 2012; 7
Chang, Wu, Huang, Jan, Han (bib15) 2018; 108
Cullen (10.1016/j.clnu.2019.08.024_bib16) 2016; 19
Chang (10.1016/j.clnu.2019.08.024_bib6) 2016; 17
Olofindayo (10.1016/j.clnu.2019.08.024_bib24) 2015; 15
Uluduz (10.1016/j.clnu.2019.08.024_bib10) 2014; 7
English (10.1016/j.clnu.2019.08.024_bib13) 2012; 7
Evans (10.1016/j.clnu.2019.08.024_bib21) 2010; 91
Mukherjee (10.1016/j.clnu.2019.08.024_bib1) 2011; 76
Lin (10.1016/j.clnu.2019.08.024_bib11) 2015; 72
Han (10.1016/j.clnu.2019.08.024_bib14) 2016; 6
Chang (10.1016/j.clnu.2019.08.024_bib15) 2018; 108
Harris (10.1016/j.clnu.2019.08.024_bib4) 2001; 15
Cruz-Jentoft (10.1016/j.clnu.2019.08.024_bib18) 2010; 39
Feigin (10.1016/j.clnu.2019.08.024_bib2) 2017; 120
Ryan (10.1016/j.clnu.2019.08.024_bib12) 2011; 25
Springer (10.1016/j.clnu.2019.08.024_bib23) 2014; 45
Scherbakov (10.1016/j.clnu.2019.08.024_bib9) 2015; 16
Chang (10.1016/j.clnu.2019.08.024_bib8) 2018; 7
Jorgensen (10.1016/j.clnu.2019.08.024_bib5) 2001; 28
Zeger (10.1016/j.clnu.2019.08.024_bib17) 1988; 44
Chang (10.1016/j.clnu.2019.08.024_bib7) 2017; 46
Krzykala (10.1016/j.clnu.2019.08.024_bib20) 2015; 66
Shiraishi (10.1016/j.clnu.2019.08.024_bib22) 2018; 37
Yoshimura (10.1016/j.clnu.2019.08.024_bib3) 2018; 37
Taddei (10.1016/j.clnu.2019.08.024_bib19) 2016; 27
References_xml – volume: 37
  start-page: 204
  year: 2018
  end-page: 207
  ident: bib22
  article-title: Prevalence of stroke-related sarcopenia and its association with poor oral status in post-acute stroke patients: implications for oral sarcopenia
  publication-title: Clin Nutr
– volume: 17
  start-page: 1164 e7
  year: 2016
  end-page: e15
  ident: bib6
  article-title: Association between sarcopenia and cognitive impairment: a systematic review and meta-analysis
  publication-title: J Am Med Dir Assoc
– volume: 76
  start-page: S85
  year: 2011
  end-page: S90
  ident: bib1
  article-title: Epidemiology and the global burden of stroke
  publication-title: World Neurosurg
– volume: 16
  start-page: 272
  year: 2015
  end-page: 276
  ident: bib9
  article-title: Stroke-related sarcopenia: specific characteristics
  publication-title: J Am Med Dir Assoc
– volume: 7
  start-page: 491
  year: 2012
  end-page: 498
  ident: bib13
  article-title: Changes in fat mass in stroke survivors: a systematic review
  publication-title: Int J Stroke
– volume: 108
  start-page: 54
  year: 2018
  end-page: 61
  ident: bib15
  article-title: Limb muscle quality and quantity in elderly adults with dynapenia but not sarcopenia: an ultrasound imaging study
  publication-title: Exp Gerontol
– volume: 46
  start-page: 738
  year: 2017
  end-page: 746
  ident: bib7
  article-title: Is sarcopenia associated with depression? A systematic review and meta-analysis of observational studies
  publication-title: Age Ageing
– volume: 45
  start-page: 3675
  year: 2014
  end-page: 3683
  ident: bib23
  article-title: Catabolic signaling and muscle wasting after acute ischemic stroke in mice: indication for a stroke-specific sarcopenia
  publication-title: Stroke
– volume: 15
  start-page: 65
  year: 2015
  ident: bib24
  article-title: The interactive effect of diabetes and central obesity on stroke: a prospective cohort study of inner Mongolians
  publication-title: BMC Neurol
– volume: 28
  start-page: 655
  year: 2001
  end-page: 659
  ident: bib5
  article-title: Changes in muscle mass, fat mass, and bone mineral content in the legs after stroke: a 1 year prospective study
  publication-title: Bone
– volume: 25
  start-page: 865
  year: 2011
  end-page: 872
  ident: bib12
  article-title: Atrophy and intramuscular fat in specific muscles of the thigh: associated weakness and hyperinsulinemia in stroke survivors
  publication-title: Neurorehabil Neural Repair
– volume: 6
  start-page: 19457
  year: 2016
  ident: bib14
  article-title: Skeletal muscle mass adjusted by height correlated better with muscular functions than that adjusted by body weight in defining sarcopenia
  publication-title: Sci Rep
– volume: 15
  start-page: 274
  year: 2001
  end-page: 281
  ident: bib4
  article-title: Quadriceps muscle weakness following acute hemiplegic stroke
  publication-title: Clin Rehabil
– volume: 120
  start-page: 439
  year: 2017
  end-page: 448
  ident: bib2
  article-title: Global burden of stroke
  publication-title: Circ Res
– volume: 37
  start-page: 2022
  year: 2018 Dec
  end-page: 2028
  ident: bib3
  article-title: Prevalence of sarcopenia and its association with activities of daily living and dysphagia in convalescent rehabilitation ward inpatients
  publication-title: Clin Nutr
– volume: 7
  start-page: 90
  year: 2018
  end-page: 103
  ident: bib8
  article-title: Association between loss of skeletal muscle mass and mortality and tumor recurrence in hepatocellular carcinoma: a systematic review and meta-analysis
  publication-title: Liver Cancer
– volume: 7
  start-page: 23
  year: 2014
  end-page: 28
  ident: bib10
  article-title: Vitamin D deficiency and osteoporosis in stroke survivors: an analysis of national health and nutritional examination survey (NHANES)
  publication-title: J Vasc Interv Neurol
– volume: 44
  start-page: 1049
  year: 1988
  end-page: 1060
  ident: bib17
  article-title: Models for longitudinal data: a generalized estimating equation approach
  publication-title: Biometrics
– volume: 27
  start-page: 1519
  year: 2016
  end-page: 1528
  ident: bib19
  article-title: Left-right differences in the proximal femur's strength of post-menopausal women: a multicentric finite element study
  publication-title: Osteoporos Int
– volume: 19
  start-page: 283
  year: 2016
  end-page: 287
  ident: bib16
  article-title: Physiological and health characteristics of ex-jockeys
  publication-title: J Sci Med Sport
– volume: 72
  start-page: 9
  year: 2015
  end-page: 13
  ident: bib11
  article-title: A population-based five-year study on the risk of stroke in patients with osteoporosis in Taiwan
  publication-title: Bone
– volume: 66
  start-page: 379
  year: 2015
  end-page: 386
  ident: bib20
  article-title: Asymmetry in body composition in female hockey players
  publication-title: Homo
– volume: 91
  start-page: 1123S
  year: 2010
  end-page: 1127S
  ident: bib21
  article-title: Skeletal muscle loss: cachexia, sarcopenia, and inactivity
  publication-title: Am J Clin Nutr
– volume: 39
  start-page: 412
  year: 2010
  end-page: 423
  ident: bib18
  article-title: Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people
  publication-title: Age Ageing
– volume: 16
  start-page: 272
  year: 2015
  ident: 10.1016/j.clnu.2019.08.024_bib9
  article-title: Stroke-related sarcopenia: specific characteristics
  publication-title: J Am Med Dir Assoc
  doi: 10.1016/j.jamda.2014.12.007
– volume: 108
  start-page: 54
  year: 2018
  ident: 10.1016/j.clnu.2019.08.024_bib15
  article-title: Limb muscle quality and quantity in elderly adults with dynapenia but not sarcopenia: an ultrasound imaging study
  publication-title: Exp Gerontol
  doi: 10.1016/j.exger.2018.03.019
– volume: 46
  start-page: 738
  year: 2017
  ident: 10.1016/j.clnu.2019.08.024_bib7
  article-title: Is sarcopenia associated with depression? A systematic review and meta-analysis of observational studies
  publication-title: Age Ageing
  doi: 10.1093/ageing/afx094
– volume: 19
  start-page: 283
  year: 2016
  ident: 10.1016/j.clnu.2019.08.024_bib16
  article-title: Physiological and health characteristics of ex-jockeys
  publication-title: J Sci Med Sport
  doi: 10.1016/j.jsams.2015.05.001
– volume: 15
  start-page: 65
  year: 2015
  ident: 10.1016/j.clnu.2019.08.024_bib24
  article-title: The interactive effect of diabetes and central obesity on stroke: a prospective cohort study of inner Mongolians
  publication-title: BMC Neurol
  doi: 10.1186/s12883-015-0328-y
– volume: 37
  start-page: 2022
  issue: 6 Pt A
  year: 2018
  ident: 10.1016/j.clnu.2019.08.024_bib3
  article-title: Prevalence of sarcopenia and its association with activities of daily living and dysphagia in convalescent rehabilitation ward inpatients
  publication-title: Clin Nutr
  doi: 10.1016/j.clnu.2017.09.009
– volume: 7
  start-page: 23
  year: 2014
  ident: 10.1016/j.clnu.2019.08.024_bib10
  article-title: Vitamin D deficiency and osteoporosis in stroke survivors: an analysis of national health and nutritional examination survey (NHANES)
  publication-title: J Vasc Interv Neurol
– volume: 72
  start-page: 9
  year: 2015
  ident: 10.1016/j.clnu.2019.08.024_bib11
  article-title: A population-based five-year study on the risk of stroke in patients with osteoporosis in Taiwan
  publication-title: Bone
  doi: 10.1016/j.bone.2014.11.007
– volume: 39
  start-page: 412
  year: 2010
  ident: 10.1016/j.clnu.2019.08.024_bib18
  article-title: Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people
  publication-title: Age Ageing
  doi: 10.1093/ageing/afq034
– volume: 66
  start-page: 379
  year: 2015
  ident: 10.1016/j.clnu.2019.08.024_bib20
  article-title: Asymmetry in body composition in female hockey players
  publication-title: Homo
  doi: 10.1016/j.jchb.2015.02.008
– volume: 7
  start-page: 491
  year: 2012
  ident: 10.1016/j.clnu.2019.08.024_bib13
  article-title: Changes in fat mass in stroke survivors: a systematic review
  publication-title: Int J Stroke
  doi: 10.1111/j.1747-4949.2012.00824.x
– volume: 28
  start-page: 655
  year: 2001
  ident: 10.1016/j.clnu.2019.08.024_bib5
  article-title: Changes in muscle mass, fat mass, and bone mineral content in the legs after stroke: a 1 year prospective study
  publication-title: Bone
  doi: 10.1016/S8756-3282(01)00434-3
– volume: 120
  start-page: 439
  year: 2017
  ident: 10.1016/j.clnu.2019.08.024_bib2
  article-title: Global burden of stroke
  publication-title: Circ Res
  doi: 10.1161/CIRCRESAHA.116.308413
– volume: 6
  start-page: 19457
  year: 2016
  ident: 10.1016/j.clnu.2019.08.024_bib14
  article-title: Skeletal muscle mass adjusted by height correlated better with muscular functions than that adjusted by body weight in defining sarcopenia
  publication-title: Sci Rep
  doi: 10.1038/srep19457
– volume: 25
  start-page: 865
  year: 2011
  ident: 10.1016/j.clnu.2019.08.024_bib12
  article-title: Atrophy and intramuscular fat in specific muscles of the thigh: associated weakness and hyperinsulinemia in stroke survivors
  publication-title: Neurorehabil Neural Repair
  doi: 10.1177/1545968311408920
– volume: 15
  start-page: 274
  year: 2001
  ident: 10.1016/j.clnu.2019.08.024_bib4
  article-title: Quadriceps muscle weakness following acute hemiplegic stroke
  publication-title: Clin Rehabil
  doi: 10.1191/026921501669958740
– volume: 37
  start-page: 204
  year: 2018
  ident: 10.1016/j.clnu.2019.08.024_bib22
  article-title: Prevalence of stroke-related sarcopenia and its association with poor oral status in post-acute stroke patients: implications for oral sarcopenia
  publication-title: Clin Nutr
  doi: 10.1016/j.clnu.2016.12.002
– volume: 7
  start-page: 90
  year: 2018
  ident: 10.1016/j.clnu.2019.08.024_bib8
  article-title: Association between loss of skeletal muscle mass and mortality and tumor recurrence in hepatocellular carcinoma: a systematic review and meta-analysis
  publication-title: Liver Cancer
  doi: 10.1159/000484950
– volume: 44
  start-page: 1049
  year: 1988
  ident: 10.1016/j.clnu.2019.08.024_bib17
  article-title: Models for longitudinal data: a generalized estimating equation approach
  publication-title: Biometrics
  doi: 10.2307/2531734
– volume: 76
  start-page: S85
  year: 2011
  ident: 10.1016/j.clnu.2019.08.024_bib1
  article-title: Epidemiology and the global burden of stroke
  publication-title: World Neurosurg
  doi: 10.1016/j.wneu.2011.07.023
– volume: 91
  start-page: 1123S
  year: 2010
  ident: 10.1016/j.clnu.2019.08.024_bib21
  article-title: Skeletal muscle loss: cachexia, sarcopenia, and inactivity
  publication-title: Am J Clin Nutr
  doi: 10.3945/ajcn.2010.28608A
– volume: 17
  start-page: 1164 e7
  year: 2016
  ident: 10.1016/j.clnu.2019.08.024_bib6
  article-title: Association between sarcopenia and cognitive impairment: a systematic review and meta-analysis
  publication-title: J Am Med Dir Assoc
  doi: 10.1016/j.jamda.2016.09.013
– volume: 27
  start-page: 1519
  year: 2016
  ident: 10.1016/j.clnu.2019.08.024_bib19
  article-title: Left-right differences in the proximal femur's strength of post-menopausal women: a multicentric finite element study
  publication-title: Osteoporos Int
  doi: 10.1007/s00198-015-3404-7
– volume: 45
  start-page: 3675
  year: 2014
  ident: 10.1016/j.clnu.2019.08.024_bib23
  article-title: Catabolic signaling and muscle wasting after acute ischemic stroke in mice: indication for a stroke-specific sarcopenia
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.114.006258
SSID ssj0005378
Score 2.4023647
Snippet Loss of muscle and bone mass is prevalent in the stroke population. Few studies have investigated the difference between having a stroke and hemiplegia and...
SourceID proquest
pubmed
crossref
elsevier
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1968
SubjectTerms body composition
body weight
bone density
Bone mineral content
cohort studies
dual-energy X-ray absorptiometry
equations
exercise
gait
gender
men
Muscle
muscle strength
muscles
nutritional support
Osteoporosis
paralysis
patients
prognosis
Rehabilitation
Sarcopenia
skeletal muscle
stroke
women
Title Segmental body composition transitions in stroke patients: Trunks are different from extremities and strokes are as important as hemiparesis
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0261561419330365
https://dx.doi.org/10.1016/j.clnu.2019.08.024
https://www.ncbi.nlm.nih.gov/pubmed/31522786
https://www.proquest.com/docview/2290955400
https://www.proquest.com/docview/2315285986
https://www.proquest.com/docview/2985827966
Volume 39
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB61WwlxQVBey6MyEuKCwiaxnTjcqkK1gLqXtlJvkWM7Veg2WyXZQy_9BfxoZhJnEYcuEsdYM5HlsWfG9jefAd5jVmzR86vAlmkaCBXyoEjpGK6wXJjSJNZQ7fDJIpmfi-8X8mIHjsZaGIJVet8_-PTeW_uWmR_N2U1VzU5p90A8lhHtyXkid2EvxmivJrB3-O3HfPEH6cEHh0xHLaTga2cGmJdZ1mtCeGU9k2cs7otP9-WffRw6fgyPfALJDoc-PoEdV-_D9EvlOvaBeZbPJVuMJPv78ODEX58_hV-n7nIg82fFyt4ywpN70BbrKGgN-C1W1aztmtWVY552tf3Mzpp1fdUy3Tg2PqrSMSpOYejeG3fdM7MyXVuvOohq_Nl1n-KjNH4QPQFh3tuqfQbnx1_PjuaBf44hMJJnXaAs16lMDdXKRonlUuAQaslNKZUNLbehLrNYc1EqYwpucGNlY2w3hcjKRHH-HCb1qnYvgUUOg2BpHWaHWkgi1AlFqTOR6sxmOnZTiEYj5MZzldOTGct8BKX9zMlwORkup3c0YzGFjxudm4GpY6s0H22bjzWo6DVzDCRbteRG669Z-k-9d-P0yXH50p2Mrt1q3eZEt59hSheGW2Q4JlmKiPS3yGRKqjjFzesUXgzzczMKpB6nKnn1n71_DQ9jOmXoz57ewKRr1u4tpmJdcQC7n-6iA7_gfgPUoDSp
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB6VrQRcUCmvBQpGQlxQtEnsJDa3qqXa0u5eupV6sxzbqUK32SrJHvgP_Gg8ibMVhy4Sx1gzkeXHzNj-5huAzy4qNs7y88AUWRYwHtIgz_AaLjeU6UKnRmPu8GyeTi_Zj6vkageOhlwYhFV629_b9M5a-5aJH83JXVlOLvD0gDyWEZ7JaZo8gl2GRa1HsHt4ejad3yM9aG-Q8aoFFXzuTA_z0stqjQgv0TF5xuwh__RQ_Nn5oZM9eOYDSHLY9_E57NhqH8bHpW3JF-JZPpdkPpDs78PjmX8-fwG_L-x1T-ZP8pX5RRBP7kFbpEWn1eO3SFmRpq1XN5Z42tXmG1nU6-qmIaq2ZCiq0hJMTiHOvNf2tmNmJaoyXrUXVe5nt12I76TdB9ITIOa9KZuXcHnyfXE0DXw5hkAnVLQBN1RlSaYxVzZKDXVjHUYqobpIuAkNNaEqRKwoK7jWOdXuYGVi165zJoqUU_oKRtWqsm-ARNY5wcJYFx0qliChTsgKJVimhBEqtmOIhkmQ2nOVY8mMpRxAaT8lTpzEiZNYRzNmY_i60bnrmTq2StNhbuWQg-qspnSOZKtWstH6a5X-U-_TsHyk2774JqMqu1o3Eun2hQvpwnCLDHVBFkci_S0ygic8ztzhdQyv-_W5GQVUjzOevv3P3n-EJ9PF7Fyen87P3sHTGG8cunuo9zBq67U9cGFZm3_w2-4PFMY2jw
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=Segmental+body+composition+transitions+in+stroke+patients%3A+Trunks+are+different+from+extremities+and+strokes+are+as+important+as+hemiparesis&rft.jtitle=Clinical+nutrition+%28Edinburgh%2C+Scotland%29&rft.au=Chang%2C+Ke-Vin&rft.au=Wu%2C+Wei-Ting&rft.au=Huang%2C+Kuo-Chin&rft.au=Han%2C+Der-Sheng&rft.date=2020-06-01&rft.issn=0261-5614&rft.volume=39&rft.issue=6&rft.spage=1968&rft.epage=1973&rft_id=info:doi/10.1016%2Fj.clnu.2019.08.024&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_clnu_2019_08_024
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0261-5614&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0261-5614&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0261-5614&client=summon