Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study

ObjectivesWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anth...

Full description

Saved in:
Bibliographic Details
Published inBMJ open Vol. 11; no. 1; p. e043952
Main Authors Wu, Yating, Li, Hongyu, Tao, Xiujuan, Fan, Yanna, Gao, Qinghan, Yang, Jianjun
Format Journal Article
LanguageEnglish
Published England British Medical Journal Publishing Group 31.01.2021
BMJ Publishing Group LTD
BMJ Publishing Group
SeriesOriginal research
Subjects
Abdomen
Adolescent
Adult
Aged
Aged, 80 and over
Body Mass Index
Body measurements
China - epidemiology
Cholesterol
Cross-Sectional Studies
Diabetes
Epidemiology
Female
Humans
Independent sample
Laboratories
Male
Metabolic syndrome
Metabolic Syndrome - diagnosis
Metabolic Syndrome - epidemiology
Middle Aged
Obesity
preventive medicine
Public Health
Risk Factors
ROC Curve
statistics & research methods
Waist Circumference
Waist-Height Ratio
Women
Young Adult
China
epidemiology
statistics & research methods
public health
preventive medicine
Online AccessGet full text

Cover

Abstract ObjectivesWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).DesignCross-sectional study.SettingNingxia, China.ParticipantsA total of 3860 adults aged 18–88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.MethodsORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.ResultsThe highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.ConclusionsBMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.
AbstractList OBJECTIVESWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI). DESIGNCross-sectional study. SETTINGNingxia, China. PARTICIPANTSA total of 3860 adults aged 18-88 years from Ningxia, China were recruited by a single stratified cluster random sampling method. METHODSORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately. RESULTSThe highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS. CONCLUSIONSBMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.
Objectives We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI). Design Cross-sectional study. Setting Ningxia, China. Participants A total of 3860 adults aged 18–88 years from Ningxia, China were recruited by a single stratified cluster random sampling method. Methods ORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately. Results The highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS. Conclusions BMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.
Objectives We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).Design Cross-sectional study.Setting Ningxia, China.Participants A total of 3860 adults aged 18–88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.Methods ORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.Results The highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.Conclusions BMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.
We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI). Cross-sectional study. Ningxia, China. A total of 3860 adults aged 18-88 years from Ningxia, China were recruited by a single stratified cluster random sampling method. ORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately. The highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS. BMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.
Author Tao, Xiujuan
Yang, Jianjun
Gao, Qinghan
Wu, Yating
Li, Hongyu
Fan, Yanna
AuthorAffiliation 2 Public Health Division , Yinchuan City Center for Disease Control and Prevention , Yinchuan , China
1 School of Public Health and Management , Ningxia Medical University , Yinchuan , China
AuthorAffiliation_xml – name: 1 School of Public Health and Management , Ningxia Medical University , Yinchuan , China
– name: 2 Public Health Division , Yinchuan City Center for Disease Control and Prevention , Yinchuan , China
Author_xml – sequence: 1
  givenname: Yating
  surname: Wu
  fullname: Wu, Yating
  organization: School of Public Health and Management, Ningxia Medical University, Yinchuan, China
– sequence: 2
  givenname: Hongyu
  surname: Li
  fullname: Li, Hongyu
  organization: Public Health Division, Yinchuan City Center for Disease Control and Prevention, Yinchuan, China
– sequence: 3
  givenname: Xiujuan
  surname: Tao
  fullname: Tao, Xiujuan
  organization: School of Public Health and Management, Ningxia Medical University, Yinchuan, China
– sequence: 4
  givenname: Yanna
  surname: Fan
  fullname: Fan, Yanna
  organization: School of Public Health and Management, Ningxia Medical University, Yinchuan, China
– sequence: 5
  givenname: Qinghan
  surname: Gao
  fullname: Gao, Qinghan
  organization: School of Public Health and Management, Ningxia Medical University, Yinchuan, China
– sequence: 6
  givenname: Jianjun
  orcidid: 0000-0002-8332-5526
  surname: Yang
  fullname: Yang, Jianjun
  email: 1969@163.com
  organization: School of Public Health and Management, Ningxia Medical University, Yinchuan, China
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33518525$$D View this record in MEDLINE/PubMed
BookMark eNqNksFvFCEUxiemxtbav8DEkHjxMi0wMLAeTEzTapMmveiZwPBmy2YGRmAa97-X7axr68HIhRf4vl_ee_leV0c-eKiqtwSfE9K0F2bchAl8TTHFNWbNitMX1QnFjNUt5vzoSX1cnaW0weUwvuKcvqqOm4YTySk_qX7eTdmNLoFF2uf7GKYwQo6uQ85b10FCOqEpQqmzewCUugjgnV-jHMKQUB8iKgZtwlA8aettLIBiRtrOQ04fkUZdDCnVCQoheD2glGe7fVO97PWQ4Gx_n1bfr6--XX6tb---3Fx-vq0NFzLXkhMLjcUNlha0IVqXiZlpBedCdA20VpIOTCt1S4yRvTVFYDFIRm1vKW1Oq5uFa4PeqCm6UcetCtqpx4cQ10rH7LoBFGBqBeNgOiFY3xvTS9FjMJr0LV4xWVifFtY0mxFsBz5HPTyDPv_x7l6tw4MSkjcY75r5sAfE8GOGlFVZfQfDoD2EOSnKSt9M4lYU6fu_pJswx7K-RUVaKsiqqJpF9bjjCP2hGYLVLihqHxS1C4paglJc757OcfD8jkURnC-C4v5P4sUfw6HRfzl-AX5y3kc
CitedBy_id crossref_primary_10_1016_j_numecd_2021_05_026
crossref_primary_10_1038_s41598_022_19343_w
crossref_primary_10_1186_s12872_023_03543_x
crossref_primary_10_3390_jpm11080775
crossref_primary_10_1016_j_semerg_2023_101965
crossref_primary_10_18778_1898_6773_86_4_07
crossref_primary_10_3390_ijerph192013408
crossref_primary_10_1371_journal_pone_0281599
crossref_primary_10_3390_nu14061237
crossref_primary_10_3390_jcm11102876
crossref_primary_10_1136_bmjopen_2023_077646
crossref_primary_10_17826_cumj_1002607
crossref_primary_10_1186_s12876_022_02401_y
crossref_primary_10_3389_fpsyg_2023_1149779
Cites_doi 10.3390/ijerph13040428
10.1038/oby.2011.367
10.1159/000455333
10.1161/CIRCULATIONAHA.109.192644
10.1111/obr.12947
10.1007/s00125-015-3861-8
10.1210/jc.2016-2477
10.1038/oby.2011.38
10.1016/0895-4356(91)90059-I
10.1016/j.metabol.2016.11.003
10.1016/j.atherosclerosis.2016.02.006
10.1093/qjmed/hcw056
10.1038/srep36091
10.1111/j.1467-789X.2011.00952.x
10.3390/nu11081701
10.2337/dc12-0336
10.1007/s13300-018-0446-9
10.1002/ajpa.20262
10.1016/j.beem.2007.04.007
10.1016/j.nut.2018.05.004
10.1093/eurheartj/ehz455
10.1016/j.arr.2009.06.001
10.1111/sms.12780
10.2307/2531595
10.3390/nu11112598
10.3390/nu11061370
10.1016/j.ypmed.2012.10.027
10.1016/j.dsx.2018.08.009
10.1111/ijpo.12491
10.1136/bmjopen-2017-016062
10.1080/15438627.2018.1502183
10.1371/journal.pone.0039504
10.1155/2019/8143179
10.1371/journal.pone.0107212
10.1016/j.clnu.2013.04.021
10.1016/S0188-4409(03)00073-0
10.1016/j.clnu.2018.04.014
10.1111/eci.13060
10.1136/heartjnl-2015-308104
10.1002/oby.20408
ContentType Journal Article
Copyright Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
2021 Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2021
Copyright_xml – notice: Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
– notice: 2021 Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2021
DBID 9YT
ACMMV
CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
CITATION
3V.
7RV
7X7
7XB
88E
88G
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BENPR
BTHHO
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
K9-
K9.
KB0
M0R
M0S
M1P
M2M
NAPCQ
PIMPY
PQEST
PQQKQ
PQUKI
PSYQQ
Q9U
7X8
5PM
DOA
DOI 10.1136/bmjopen-2020-043952
DatabaseName BMJ Open Access Journals
BMJ Journals:Open Access
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
CrossRef
ProQuest Central (Corporate)
Nursing & Allied Health Database
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Psychology Database (Alumni)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central
ProQuest Central Essentials
ProQuest Central
BMJ Journals
ProQuest One Community College
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
Consumer Health Database
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Database (Alumni Edition)
Consumer Health Database
Health & Medical Collection (Alumni Edition)
PML(ProQuest Medical Library)
Psychology Database
Nursing & Allied Health Premium
Publicly Available Content Database
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest One Psychology
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
CrossRef
Publicly Available Content Database
ProQuest One Psychology
ProQuest Central Student
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest Family Health (Alumni Edition)
ProQuest Central
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
ProQuest Medical Library (Alumni)
ProQuest Central Basic
ProQuest Family Health
ProQuest One Academic Eastern Edition
ProQuest Nursing & Allied Health Source
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Psychology Journals (Alumni)
ProQuest Hospital Collection (Alumni)
Nursing & Allied Health Premium
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest Psychology Journals
ProQuest One Academic UKI Edition
BMJ Journals
ProQuest Nursing & Allied Health Source (Alumni)
ProQuest One Academic
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
CrossRef

Publicly Available Content Database
MEDLINE
Database_xml – sequence: 1
  dbid: DOA
  name: Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  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: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: ACMMV
  name: BMJ Journals:Open Access
  url: https://journals.bmj.com/
  sourceTypes: Publisher
– sequence: 5
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Public Health
EISSN 2044-6055
EndPage e043952
ExternalDocumentID oai_doaj_org_article_e02d745ebc774ffbbf87f0eba1f60948
10_1136_bmjopen_2020_043952
33518525
ttps://bmjopen.bmj.com/content/11/1/e043952.full
Genre Research Support, Non-U.S. Gov't
Journal Article
GeographicLocations China
GeographicLocations_xml – name: China
GroupedDBID ---
3V.
4.4
53G
5VS
7RV
7X7
7~R
88E
8FI
8FJ
9YT
ABUWG
ACGFS
ACMMV
ADBBV
AENEX
AFKRA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
AZQEC
BAWUL
BCNDV
BENPR
BKNYI
BPHCQ
BTFSW
BTHHO
CCPQU
DIK
DWQXO
EBS
FYUFA
GNUQQ
GROUPED_DOAJ
GX1
H13
HMCUK
HYE
HZ~
K9-
KQ8
M0R
M1P
M2M
M48
M~E
NAPCQ
O9-
OK1
PGMZT
PIMPY
PQQKQ
PROAC
PSQYO
PSYQQ
RHF
RHI
RMJ
RPM
UKHRP
CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
ADRAZ
BVXVI
CITATION
EJD
7XB
8FK
K9.
PQEST
PQUKI
Q9U
7X8
5PM
ID FETCH-LOGICAL-b578t-851de3d0308deab1aa2024b675577c3e6d81ceb68a61bb8fdba20d0e842dfd223
IEDL.DBID 9YT
ISSN 2044-6055
IngestDate Tue Oct 22 15:09:01 EDT 2024
Tue Sep 17 21:05:40 EDT 2024
Fri Oct 25 08:22:03 EDT 2024
Thu Oct 10 21:56:31 EDT 2024
Fri Aug 23 02:49:49 EDT 2024
Sat Sep 28 08:23:45 EDT 2024
Wed Aug 21 03:32:20 EDT 2024
Mon Sep 09 15:08:45 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords epidemiology
statistics & research methods
public health
preventive medicine
Language English
License This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-b578t-851de3d0308deab1aa2024b675577c3e6d81ceb68a61bb8fdba20d0e842dfd223
Notes Original research
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0002-8332-5526
OpenAccessLink http://dx.doi.org/10.1136/bmjopen-2020-043952
PMID 33518525
PQID 2484162719
PQPubID 2040975
ParticipantIDs doaj_primary_oai_doaj_org_article_e02d745ebc774ffbbf87f0eba1f60948
pubmedcentral_primary_oai_pubmedcentral_nih_gov_7853002
proquest_miscellaneous_2484248067
proquest_journals_2484162719
crossref_primary_10_1136_bmjopen_2020_043952
pubmed_primary_33518525
bmj_primary_10_1136_bmjopen_2020_043952
bmj_journals_10_1136_bmjopen_2020_043952
PublicationCentury 2000
PublicationDate 2021-01-31
PublicationDateYYYYMMDD 2021-01-31
PublicationDate_xml – month: 01
  year: 2021
  text: 2021-01-31
  day: 31
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
– name: BMA House, Tavistock Square, London, WC1H 9JR
PublicationSeriesTitle Original research
PublicationTitle BMJ open
PublicationTitleAbbrev BMJ Open
PublicationTitleAlternate BMJ Open
PublicationYear 2021
Publisher British Medical Journal Publishing Group
BMJ Publishing Group LTD
BMJ Publishing Group
Publisher_xml – name: British Medical Journal Publishing Group
– name: BMJ Publishing Group LTD
– name: BMJ Publishing Group
References Zhang, Zhang, He (R35) 2016; 13
Maessen, Eijsvogels, Verheggen (R42) 2014; 9
Suliga, Ciesla, Głuszek-Osuch (R33) 2019; 11
Perona, Schmidt-RioValle, Fernández-Aparicio (R36) 2019; 11
Bergman, Stefanovski, Buchanan (R8) 2011; 19
Guerrero-Romero, Rodríguez-Morán (R10) 2003; 34
Deedwania, Gupta (R4) 2006; 54
Thomas, Bredlau, Bosy-Westphal (R11) 2013; 21
Nevill, Bryant, Wilkinson (R15) 2019; 14
Lu, Wang, Li (R27) 2017; 102
Perona, Schmidt Rio-Valle, Ramírez-Vélez (R38) 2019; 49
Huh, Yadav, Kim (R2) 2017; 67
Hwaung, Heo, Kennedy (R16) 2020; 21
Barazzoni, Gortan Cappellari, Semolic (R34) 2019; 38
Micklesfield, Goedecke, Punyanitya (R5) 2012; 20
Mach, Baigent, Catapano (R17) 2020; 41
Wang, Liu, Zhao (R43) 2017; 7
Guo, Zhang, Zhang (R25) 2016; 6
Esposito, Chiodini, Colao (R3) 2012; 35
Adejumo, Adejumo, Azenabor (R39) 2019; 13
van der Berg, Stehouwer, Bosma (R19) 2016; 59
Kuk, Saunders, Davidson (R31) 2009; 8
de Oliveira, Roriz, Ramos (R40) 2017; 70
Kuhn, Vieira Filho, Franco (R41) 2014; 33
Ramírez-Vélez, Pérez-Sousa, Izquierdo (R29) 2019; 11
Li, Wu, Wu (R13) 2019; 57
Pan, Yang, Wu (R21) 2016; 248
Wells (R24) 2007; 21
Alberti, Eckel, Grundy (R1) 2009; 120
Nevill, Stewart, Olds (R6) 2006; 129
Quaye, Owiredu, Amidu (R37) 2019; 2019
Ashwell, Gunn, Gibson (R7) 2012; 13
Valdez (R9) 1991; 44
Rice, Lumley (R22) 2016; 102
Sun, Gao, Wang (R26) 2018; 9
Nevill, Stewart, Olds (R32) 2020; 28
Krakauer, Krakauer (R12) 2012; 7
Davila, Quintero, Orrego (R30) 2013; 56
Nevill, Duncan, Lahart (R14) 2017; 27
DeLong, DeLong, Clarke-Pearson (R23) 1988; 44
Joshi, Shah, Patel (R28) 2016; 109
Kuk, Saunders, Davidson 2009; 8
Pan, Yang, Wu 2016; 248
Nevill, Bryant, Wilkinson 2019; 14
Guo, Zhang, Zhang 2016; 6
Barazzoni, Gortan Cappellari, Semolic 2019; 38
Valdez 1991; 44
Esposito, Chiodini, Colao 2012; 35
DeLong, DeLong, Clarke-Pearson 1988; 44
Micklesfield, Goedecke, Punyanitya 2012; 20
Nevill, Duncan, Lahart 2017; 27
Li, Wu, Wu 2019; 57
Mach, Baigent, Catapano 2020; 41
Ramírez-Vélez, Pérez-Sousa, Izquierdo 2019; 11
Joshi, Shah, Patel 2016; 109
Kuhn, Vieira Filho, Franco 2014; 33
Adejumo, Adejumo, Azenabor 2019; 13
Perona, Schmidt-RioValle, Fernández-Aparicio 2019; 11
Sun, Gao, Wang 2018; 9
Deedwania, Gupta 2006; 54
Hwaung, Heo, Kennedy 2020; 21
Perona, Schmidt Rio-Valle, Ramírez-Vélez 2019; 49
Bergman, Stefanovski, Buchanan 2011; 19
Wang, Liu, Zhao 2017; 7
Ashwell, Gunn, Gibson 2012; 13
Rice, Lumley 2016; 102
Zhang, Zhang, He 2016; 13
Guerrero-Romero, Rodríguez-Morán 2003; 34
Suliga, Ciesla, Głuszek-Osuch 2019; 11
Maessen, Eijsvogels, Verheggen 2014; 9
Alberti, Eckel, Grundy 2009; 120
Nevill, Stewart, Olds 2020; 28
Thomas, Bredlau, Bosy-Westphal 2013; 21
Nevill, Stewart, Olds 2006; 129
Krakauer, Krakauer 2012; 7
van der Berg, Stehouwer, Bosma 2016; 59
Huh, Yadav, Kim 2017; 67
de Oliveira, Roriz, Ramos 2017; 70
Lu, Wang, Li 2017; 102
Wells 2007; 21
Davila, Quintero, Orrego 2013; 56
Quaye, Owiredu, Amidu 2019; 2019
2021013103050716000_11.1.e043952.3
Nevill (2021013103050716000_11.1.e043952.15) 2019; 14
Guerrero-Romero (2021013103050716000_11.1.e043952.10) 2003; 34
Barazzoni (2021013103050716000_11.1.e043952.34) 2019; 38
2021013103050716000_11.1.e043952.31
2021013103050716000_11.1.e043952.33
2021013103050716000_11.1.e043952.1
2021013103050716000_11.1.e043952.12
Hwaung (2021013103050716000_11.1.e043952.16) 2020; 21
Sun (2021013103050716000_11.1.e043952.26) 2018; 9
Perona (2021013103050716000_11.1.e043952.36) 2019; 11
2021013103050716000_11.1.e043952.6
2021013103050716000_11.1.e043952.7
2021013103050716000_11.1.e043952.9
de Oliveira (2021013103050716000_11.1.e043952.40) 2017; 70
Deedwania (2021013103050716000_11.1.e043952.4) 2006; 54
Micklesfield (2021013103050716000_11.1.e043952.5) 2012; 20
Li (2021013103050716000_11.1.e043952.13) 2019; 57
Nevill (2021013103050716000_11.1.e043952.32) 2020; 28
Quaye (2021013103050716000_11.1.e043952.37) 2019; 2019
Adejumo (2021013103050716000_11.1.e043952.39) 2019; 13
2021013103050716000_11.1.e043952.17
2021013103050716000_11.1.e043952.18
2021013103050716000_11.1.e043952.19
Pan (2021013103050716000_11.1.e043952.21) 2016; 248
Lu (2021013103050716000_11.1.e043952.27) 2017; 102
Davila (2021013103050716000_11.1.e043952.30) 2013; 56
2021013103050716000_11.1.e043952.20
2021013103050716000_11.1.e043952.43
2021013103050716000_11.1.e043952.22
Nevill (2021013103050716000_11.1.e043952.14) 2017; 27
2021013103050716000_11.1.e043952.23
Maessen (2021013103050716000_11.1.e043952.42) 2014; 9
Huh (2021013103050716000_11.1.e043952.2) 2017; 67
Bergman (2021013103050716000_11.1.e043952.8) 2011; 19
Guo (2021013103050716000_11.1.e043952.25) 2016; 6
2021013103050716000_11.1.e043952.24
Perona (2021013103050716000_11.1.e043952.38) 2019; 49
2021013103050716000_11.1.e043952.28
Zhang (2021013103050716000_11.1.e043952.35) 2016; 13
Thomas (2021013103050716000_11.1.e043952.11) 2013; 21
2021013103050716000_11.1.e043952.29
Kuhn (2021013103050716000_11.1.e043952.41) 2014; 33
References_xml – volume: 13
  year: 2016
  ident: R35
  article-title: Comparison of anthropometric and atherogenic indices as screening tools of metabolic syndrome in the Kazakh adult population in Xinjiang
  publication-title: Int J Environ Res Public Health
  doi: 10.3390/ijerph13040428
  contributor:
    fullname: He
– volume: 20
  start-page: 1109
  year: 2012
  ident: R5
  article-title: Dual-Energy X-ray performs as well as clinical computed tomography for the measurement of visceral fat
  publication-title: Obesity
  doi: 10.1038/oby.2011.367
  contributor:
    fullname: Punyanitya
– volume: 70
  start-page: 9
  year: 2017
  ident: R40
  article-title: Indicators of adiposity predictors of metabolic syndrome in the elderly
  publication-title: Ann Nutr Metab
  doi: 10.1159/000455333
  contributor:
    fullname: Ramos
– volume: 120
  start-page: 1640
  year: 2009
  ident: R1
  article-title: Harmonizing the metabolic syndrome: a joint interim statement of the International diabetes Federation Task force on epidemiology and prevention; National heart, lung, and blood Institute; American heart association; world heart Federation; international atherosclerosis Society; and international association for the study of obesity
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.109.192644
  contributor:
    fullname: Grundy
– volume: 21
  year: 2020
  ident: R16
  article-title: Optimum waist circumference-height indices for evaluating adult adiposity: an analytic review
  publication-title: Obes Rev
  doi: 10.1111/obr.12947
  contributor:
    fullname: Kennedy
– volume: 59
  start-page: 709
  year: 2016
  ident: R19
  article-title: Associations of total amount and patterns of sedentary behaviour with type 2 diabetes and the metabolic syndrome: the Maastricht study
  publication-title: Diabetologia
  doi: 10.1007/s00125-015-3861-8
  contributor:
    fullname: Bosma
– volume: 102
  start-page: 507
  year: 2017
  ident: R27
  article-title: Metabolic syndrome among adults in China: the 2010 China noncommunicable disease surveillance
  publication-title: J Clin Endocrinol Metab
  doi: 10.1210/jc.2016-2477
  contributor:
    fullname: Li
– volume: 19
  start-page: 1083
  year: 2011
  ident: R8
  article-title: A better index of body adiposity
  publication-title: Obesity
  doi: 10.1038/oby.2011.38
  contributor:
    fullname: Buchanan
– volume: 44
  start-page: 955
  year: 1991
  ident: R9
  article-title: A simple model-based index of abdominal adiposity
  publication-title: J Clin Epidemiol
  doi: 10.1016/0895-4356(91)90059-I
  contributor:
    fullname: Valdez
– volume: 67
  start-page: 54
  year: 2017
  ident: R2
  article-title: An association of metabolic syndrome and chronic kidney disease from a 10-year prospective cohort study
  publication-title: Metabolism
  doi: 10.1016/j.metabol.2016.11.003
  contributor:
    fullname: Kim
– volume: 248
  start-page: 2
  year: 2016
  ident: R21
  article-title: The prevalence, awareness, treatment and control of dyslipidemia among adults in China
  publication-title: Atherosclerosis
  doi: 10.1016/j.atherosclerosis.2016.02.006
  contributor:
    fullname: Wu
– volume: 109
  start-page: 717
  year: 2016
  ident: R28
  article-title: Novel indexes for diagnosing metabolic syndrome in apparently healthy Gujarati Asian Indians: a cross-sectional study
  publication-title: QJM
  doi: 10.1093/qjmed/hcw056
  contributor:
    fullname: Patel
– volume: 6
  year: 2016
  ident: R25
  article-title: Visceral adiposity and anthropometric indicators as screening tools of metabolic syndrome among low income rural adults in Xinjiang
  publication-title: Sci Rep
  doi: 10.1038/srep36091
  contributor:
    fullname: Zhang
– volume: 13
  start-page: 275
  year: 2012
  ident: R7
  article-title: Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis
  publication-title: Obes Rev
  doi: 10.1111/j.1467-789X.2011.00952.x
  contributor:
    fullname: Gibson
– volume: 11
  year: 2019
  ident: R29
  article-title: Validation of surrogate anthropometric indices in older adults: what is the best indicator of high cardiometabolic risk factor clustering?
  publication-title: Nutrients
  doi: 10.3390/nu11081701
  contributor:
    fullname: Izquierdo
– volume: 35
  start-page: 2402
  year: 2012
  ident: R3
  article-title: Metabolic syndrome and risk of cancer: a systematic review and meta-analysis
  publication-title: Diabetes Care
  doi: 10.2337/dc12-0336
  contributor:
    fullname: Colao
– volume: 9
  start-page: 1457
  year: 2018
  ident: R26
  article-title: Agreement between the JCDCG, revised NCEP-ATPIII, and IDF definitions of metabolic syndrome in a northwestern Chinese population
  publication-title: Diabetes Ther
  doi: 10.1007/s13300-018-0446-9
  contributor:
    fullname: Wang
– volume: 129
  start-page: 151
  year: 2006
  ident: R6
  article-title: Relationship between adiposity and body size reveals limitations of BMI
  publication-title: Am J Phys Anthropol
  doi: 10.1002/ajpa.20262
  contributor:
    fullname: Olds
– volume: 21
  start-page: 415
  year: 2007
  ident: R24
  article-title: Sexual dimorphism of body composition
  publication-title: Best Pract Res Clin Endocrinol Metab
  doi: 10.1016/j.beem.2007.04.007
  contributor:
    fullname: Wells
– volume: 57
  start-page: 194
  year: 2019
  ident: R13
  article-title: The feasibility of two anthropometric indices to identify metabolic syndrome, insulin resistance and inflammatory factors in obese and overweight adults
  publication-title: Nutrition
  doi: 10.1016/j.nut.2018.05.004
  contributor:
    fullname: Wu
– volume: 41
  start-page: 111
  year: 2020
  ident: R17
  article-title: 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk
  publication-title: Eur Heart J
  doi: 10.1093/eurheartj/ehz455
  contributor:
    fullname: Catapano
– volume: 8
  start-page: 339
  year: 2009
  ident: R31
  article-title: Age-Related changes in total and regional fat distribution
  publication-title: Ageing Res Rev
  doi: 10.1016/j.arr.2009.06.001
  contributor:
    fullname: Davidson
– volume: 27
  start-page: 1470
  year: 2017
  ident: R14
  article-title: Scaling waist girth for differences in body size reveals a new improved index associated with cardiometabolic risk
  publication-title: Scand J Med Sci Sports
  doi: 10.1111/sms.12780
  contributor:
    fullname: Lahart
– volume: 44
  start-page: 837
  year: 1988
  ident: R23
  article-title: Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
  publication-title: Biometrics
  doi: 10.2307/2531595
  contributor:
    fullname: Clarke-Pearson
– volume: 11
  year: 2019
  ident: R33
  article-title: The usefulness of anthropometric indices to identify the risk of metabolic syndrome
  publication-title: Nutrients
  doi: 10.3390/nu11112598
  contributor:
    fullname: Głuszek-Osuch
– volume: 11
  year: 2019
  ident: R36
  article-title: Waist circumference and abdominal volume index can predict metabolic syndrome in adolescents, but only when the criteria of the International diabetes Federation are employed for the diagnosis
  publication-title: Nutrients
  doi: 10.3390/nu11061370
  contributor:
    fullname: Fernández-Aparicio
– volume: 54
  start-page: 797
  year: 2006
  ident: R4
  article-title: Management issues in the metabolic syndrome
  publication-title: J Assoc Physicians India
  contributor:
    fullname: Gupta
– volume: 56
  start-page: 30
  year: 2013
  ident: R30
  article-title: Prevalence and risk factors for metabolic syndrome in medellin and surrounding municipalities, Colombia, 2008-2010
  publication-title: Prev Med
  doi: 10.1016/j.ypmed.2012.10.027
  contributor:
    fullname: Orrego
– volume: 13
  start-page: 48
  year: 2019
  ident: R39
  article-title: Anthropometric parameter that best predict metabolic syndrome in South West Nigeria
  publication-title: Diabetes Metab Syndr
  doi: 10.1016/j.dsx.2018.08.009
  contributor:
    fullname: Azenabor
– volume: 14
  year: 2019
  ident: R15
  article-title: Can waist circumference provide a new "third" dimension to BMI when predicting percentage body fat in children? Insights using allometric modelling
  publication-title: Pediatr Obes
  doi: 10.1111/ijpo.12491
  contributor:
    fullname: Wilkinson
– volume: 7
  year: 2017
  ident: R43
  article-title: Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study
  publication-title: BMJ Open
  doi: 10.1136/bmjopen-2017-016062
  contributor:
    fullname: Zhao
– volume: 28
  start-page: 15
  year: 2020
  ident: R32
  article-title: A new waist-to-height ratio predicts abdominal adiposity in adults
  publication-title: Res Sports Med
  doi: 10.1080/15438627.2018.1502183
  contributor:
    fullname: Olds
– volume: 7
  year: 2012
  ident: R12
  article-title: A new body shape index predicts mortality hazard independently of body mass index
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0039504
  contributor:
    fullname: Krakauer
– volume: 2019
  start-page: 1
  year: 2019
  ident: R37
  article-title: Comparative abilities of body mass index, waist circumference, abdominal volume index, body adiposity index, and Conicity index as predictive screening tools for metabolic syndrome among apparently healthy Ghanaian adults
  publication-title: J Obes
  doi: 10.1155/2019/8143179
  contributor:
    fullname: Amidu
– volume: 9
  year: 2014
  ident: R42
  article-title: Entering a new era of body indices: the feasibility of a body shape index and body roundness index to identify cardiovascular health status
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0107212
  contributor:
    fullname: Verheggen
– volume: 33
  start-page: 287
  year: 2014
  ident: R41
  article-title: Evaluation of body adiposity index (BAI) to estimate percent body fat in an Indigenous population
  publication-title: Clin Nutr
  doi: 10.1016/j.clnu.2013.04.021
  contributor:
    fullname: Franco
– volume: 34
  start-page: 428
  year: 2003
  ident: R10
  article-title: Abdominal volume index. An anthropometry-based index for estimation of obesity is strongly related to impaired glucose tolerance and type 2 diabetes mellitus
  publication-title: Arch Med Res
  doi: 10.1016/S0188-4409(03)00073-0
  contributor:
    fullname: Rodríguez-Morán
– volume: 38
  start-page: 1171
  year: 2019
  ident: R34
  article-title: Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals
  publication-title: Clin Nutr
  doi: 10.1016/j.clnu.2018.04.014
  contributor:
    fullname: Semolic
– volume: 49
  year: 2019
  ident: R38
  article-title: Waist circumference and abdominal volume index are the strongest anthropometric discriminators of metabolic syndrome in Spanish adolescents
  publication-title: Eur J Clin Invest
  doi: 10.1111/eci.13060
  contributor:
    fullname: Ramírez-Vélez
– volume: 102
  start-page: 349
  year: 2016
  ident: R22
  article-title: Graphics and statistics for cardiology: comparing categorical and continuous variables
  publication-title: Heart
  doi: 10.1136/heartjnl-2015-308104
  contributor:
    fullname: Lumley
– volume: 21
  start-page: 2264
  year: 2013
  ident: R11
  article-title: Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model
  publication-title: Obesity
  doi: 10.1002/oby.20408
  contributor:
    fullname: Bosy-Westphal
– volume: 28
  start-page: 15
  year: 2020
  article-title: A new waist-to-height ratio predicts abdominal adiposity in adults
  publication-title: Res Sports Med
  doi: 10.1080/15438627.2018.1502183
  contributor:
    fullname: Olds
– volume: 13
  start-page: 275
  year: 2012
  article-title: Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis
  publication-title: Obes Rev
  doi: 10.1111/j.1467-789X.2011.00952.x
  contributor:
    fullname: Gibson
– volume: 70
  start-page: 9
  year: 2017
  article-title: Indicators of adiposity predictors of metabolic syndrome in the elderly
  publication-title: Ann Nutr Metab
  doi: 10.1159/000455333
  contributor:
    fullname: Ramos
– volume: 41
  start-page: 111
  year: 2020
  article-title: 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk
  publication-title: Eur Heart J
  doi: 10.1093/eurheartj/ehz455
  contributor:
    fullname: Catapano
– volume: 56
  start-page: 30
  year: 2013
  article-title: Prevalence and risk factors for metabolic syndrome in medellin and surrounding municipalities, Colombia, 2008-2010
  publication-title: Prev Med
  doi: 10.1016/j.ypmed.2012.10.027
  contributor:
    fullname: Orrego
– volume: 33
  start-page: 287
  year: 2014
  article-title: Evaluation of body adiposity index (BAI) to estimate percent body fat in an Indigenous population
  publication-title: Clin Nutr
  doi: 10.1016/j.clnu.2013.04.021
  contributor:
    fullname: Franco
– volume: 129
  start-page: 151
  year: 2006
  article-title: Relationship between adiposity and body size reveals limitations of BMI
  publication-title: Am J Phys Anthropol
  doi: 10.1002/ajpa.20262
  contributor:
    fullname: Olds
– volume: 44
  start-page: 955
  year: 1991
  article-title: A simple model-based index of abdominal adiposity
  publication-title: J Clin Epidemiol
  doi: 10.1016/0895-4356(91)90059-I
  contributor:
    fullname: Valdez
– volume: 19
  start-page: 1083
  year: 2011
  article-title: A better index of body adiposity
  publication-title: Obesity
  doi: 10.1038/oby.2011.38
  contributor:
    fullname: Buchanan
– volume: 102
  start-page: 507
  year: 2017
  article-title: Metabolic syndrome among adults in China: the 2010 China noncommunicable disease surveillance
  publication-title: J Clin Endocrinol Metab
  doi: 10.1210/jc.2016-2477
  contributor:
    fullname: Li
– volume: 11
  year: 2019
  article-title: Waist circumference and abdominal volume index can predict metabolic syndrome in adolescents, but only when the criteria of the International diabetes Federation are employed for the diagnosis
  publication-title: Nutrients
  doi: 10.3390/nu11061370
  contributor:
    fullname: Fernández-Aparicio
– volume: 8
  start-page: 339
  year: 2009
  article-title: Age-Related changes in total and regional fat distribution
  publication-title: Ageing Res Rev
  doi: 10.1016/j.arr.2009.06.001
  contributor:
    fullname: Davidson
– volume: 9
  start-page: 1457
  year: 2018
  article-title: Agreement between the JCDCG, revised NCEP-ATPIII, and IDF definitions of metabolic syndrome in a northwestern Chinese population
  publication-title: Diabetes Ther
  doi: 10.1007/s13300-018-0446-9
  contributor:
    fullname: Wang
– volume: 2019
  start-page: 1
  year: 2019
  article-title: Comparative abilities of body mass index, waist circumference, abdominal volume index, body adiposity index, and Conicity index as predictive screening tools for metabolic syndrome among apparently healthy Ghanaian adults
  publication-title: J Obes
  doi: 10.1155/2019/8143179
  contributor:
    fullname: Amidu
– volume: 120
  start-page: 1640
  year: 2009
  article-title: Harmonizing the metabolic syndrome: a joint interim statement of the International diabetes Federation Task force on epidemiology and prevention; National heart, lung, and blood Institute; American heart association; world heart Federation; international atherosclerosis Society; and international association for the study of obesity
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.109.192644
  contributor:
    fullname: Grundy
– volume: 34
  start-page: 428
  year: 2003
  article-title: Abdominal volume index. An anthropometry-based index for estimation of obesity is strongly related to impaired glucose tolerance and type 2 diabetes mellitus
  publication-title: Arch Med Res
  doi: 10.1016/S0188-4409(03)00073-0
  contributor:
    fullname: Rodríguez-Morán
– volume: 14
  year: 2019
  article-title: Can waist circumference provide a new "third" dimension to BMI when predicting percentage body fat in children? Insights using allometric modelling
  publication-title: Pediatr Obes
  doi: 10.1111/ijpo.12491
  contributor:
    fullname: Wilkinson
– volume: 7
  year: 2012
  article-title: A new body shape index predicts mortality hazard independently of body mass index
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0039504
  contributor:
    fullname: Krakauer
– volume: 11
  year: 2019
  article-title: Validation of surrogate anthropometric indices in older adults: what is the best indicator of high cardiometabolic risk factor clustering?
  publication-title: Nutrients
  doi: 10.3390/nu11081701
  contributor:
    fullname: Izquierdo
– volume: 49
  year: 2019
  article-title: Waist circumference and abdominal volume index are the strongest anthropometric discriminators of metabolic syndrome in Spanish adolescents
  publication-title: Eur J Clin Invest
  doi: 10.1111/eci.13060
  contributor:
    fullname: Ramírez-Vélez
– volume: 44
  start-page: 837
  year: 1988
  article-title: Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
  publication-title: Biometrics
  doi: 10.2307/2531595
  contributor:
    fullname: Clarke-Pearson
– volume: 21
  year: 2020
  article-title: Optimum waist circumference-height indices for evaluating adult adiposity: an analytic review
  publication-title: Obes Rev
  doi: 10.1111/obr.12947
  contributor:
    fullname: Kennedy
– volume: 57
  start-page: 194
  year: 2019
  article-title: The feasibility of two anthropometric indices to identify metabolic syndrome, insulin resistance and inflammatory factors in obese and overweight adults
  publication-title: Nutrition
  doi: 10.1016/j.nut.2018.05.004
  contributor:
    fullname: Wu
– volume: 248
  start-page: 2
  year: 2016
  article-title: The prevalence, awareness, treatment and control of dyslipidemia among adults in China
  publication-title: Atherosclerosis
  doi: 10.1016/j.atherosclerosis.2016.02.006
  contributor:
    fullname: Wu
– volume: 20
  start-page: 1109
  year: 2012
  article-title: Dual-Energy X-ray performs as well as clinical computed tomography for the measurement of visceral fat
  publication-title: Obesity
  doi: 10.1038/oby.2011.367
  contributor:
    fullname: Punyanitya
– volume: 59
  start-page: 709
  year: 2016
  article-title: Associations of total amount and patterns of sedentary behaviour with type 2 diabetes and the metabolic syndrome: the Maastricht study
  publication-title: Diabetologia
  doi: 10.1007/s00125-015-3861-8
  contributor:
    fullname: Bosma
– volume: 67
  start-page: 54
  year: 2017
  article-title: An association of metabolic syndrome and chronic kidney disease from a 10-year prospective cohort study
  publication-title: Metabolism
  doi: 10.1016/j.metabol.2016.11.003
  contributor:
    fullname: Kim
– volume: 109
  start-page: 717
  year: 2016
  article-title: Novel indexes for diagnosing metabolic syndrome in apparently healthy Gujarati Asian Indians: a cross-sectional study
  publication-title: QJM
  doi: 10.1093/qjmed/hcw056
  contributor:
    fullname: Patel
– volume: 11
  year: 2019
  article-title: The usefulness of anthropometric indices to identify the risk of metabolic syndrome
  publication-title: Nutrients
  doi: 10.3390/nu11112598
  contributor:
    fullname: Głuszek-Osuch
– volume: 35
  start-page: 2402
  year: 2012
  article-title: Metabolic syndrome and risk of cancer: a systematic review and meta-analysis
  publication-title: Diabetes Care
  doi: 10.2337/dc12-0336
  contributor:
    fullname: Colao
– volume: 102
  start-page: 349
  year: 2016
  article-title: Graphics and statistics for cardiology: comparing categorical and continuous variables
  publication-title: Heart
  doi: 10.1136/heartjnl-2015-308104
  contributor:
    fullname: Lumley
– volume: 6
  year: 2016
  article-title: Visceral adiposity and anthropometric indicators as screening tools of metabolic syndrome among low income rural adults in Xinjiang
  publication-title: Sci Rep
  doi: 10.1038/srep36091
  contributor:
    fullname: Zhang
– volume: 21
  start-page: 415
  year: 2007
  article-title: Sexual dimorphism of body composition
  publication-title: Best Pract Res Clin Endocrinol Metab
  doi: 10.1016/j.beem.2007.04.007
  contributor:
    fullname: Wells
– volume: 38
  start-page: 1171
  year: 2019
  article-title: Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals
  publication-title: Clin Nutr
  doi: 10.1016/j.clnu.2018.04.014
  contributor:
    fullname: Semolic
– volume: 13
  year: 2016
  article-title: Comparison of anthropometric and atherogenic indices as screening tools of metabolic syndrome in the Kazakh adult population in Xinjiang
  publication-title: Int J Environ Res Public Health
  doi: 10.3390/ijerph13040428
  contributor:
    fullname: He
– volume: 54
  start-page: 797
  year: 2006
  article-title: Management issues in the metabolic syndrome
  publication-title: J Assoc Physicians India
  contributor:
    fullname: Gupta
– volume: 13
  start-page: 48
  year: 2019
  article-title: Anthropometric parameter that best predict metabolic syndrome in South West Nigeria
  publication-title: Diabetes Metab Syndr
  doi: 10.1016/j.dsx.2018.08.009
  contributor:
    fullname: Azenabor
– volume: 21
  start-page: 2264
  year: 2013
  article-title: Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model
  publication-title: Obesity
  doi: 10.1002/oby.20408
  contributor:
    fullname: Bosy-Westphal
– volume: 9
  year: 2014
  article-title: Entering a new era of body indices: the feasibility of a body shape index and body roundness index to identify cardiovascular health status
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0107212
  contributor:
    fullname: Verheggen
– volume: 7
  year: 2017
  article-title: Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study
  publication-title: BMJ Open
  doi: 10.1136/bmjopen-2017-016062
  contributor:
    fullname: Zhao
– volume: 27
  start-page: 1470
  year: 2017
  article-title: Scaling waist girth for differences in body size reveals a new improved index associated with cardiometabolic risk
  publication-title: Scand J Med Sci Sports
  doi: 10.1111/sms.12780
  contributor:
    fullname: Lahart
– volume: 70
  start-page: 9
  year: 2017
  ident: 2021013103050716000_11.1.e043952.40
  article-title: Indicators of adiposity predictors of metabolic syndrome in the elderly
  publication-title: Ann Nutr Metab
  doi: 10.1159/000455333
  contributor:
    fullname: de Oliveira
– volume: 38
  start-page: 1171
  year: 2019
  ident: 2021013103050716000_11.1.e043952.34
  article-title: Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals
  publication-title: Clin Nutr
  doi: 10.1016/j.clnu.2018.04.014
  contributor:
    fullname: Barazzoni
– volume: 13
  start-page: 48
  year: 2019
  ident: 2021013103050716000_11.1.e043952.39
  article-title: Anthropometric parameter that best predict metabolic syndrome in South West Nigeria
  publication-title: Diabetes Metab Syndr
  doi: 10.1016/j.dsx.2018.08.009
  contributor:
    fullname: Adejumo
– volume: 67
  start-page: 54
  year: 2017
  ident: 2021013103050716000_11.1.e043952.2
  article-title: An association of metabolic syndrome and chronic kidney disease from a 10-year prospective cohort study
  publication-title: Metabolism
  doi: 10.1016/j.metabol.2016.11.003
  contributor:
    fullname: Huh
– ident: 2021013103050716000_11.1.e043952.1
  doi: 10.1161/CIRCULATIONAHA.109.192644
– ident: 2021013103050716000_11.1.e043952.18
– ident: 2021013103050716000_11.1.e043952.33
  doi: 10.3390/nu11112598
– volume: 21
  start-page: 2264
  year: 2013
  ident: 2021013103050716000_11.1.e043952.11
  article-title: Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model
  publication-title: Obesity
  doi: 10.1002/oby.20408
  contributor:
    fullname: Thomas
– volume: 56
  start-page: 30
  year: 2013
  ident: 2021013103050716000_11.1.e043952.30
  article-title: Prevalence and risk factors for metabolic syndrome in medellin and surrounding municipalities, Colombia, 2008-2010
  publication-title: Prev Med
  doi: 10.1016/j.ypmed.2012.10.027
  contributor:
    fullname: Davila
– ident: 2021013103050716000_11.1.e043952.23
  doi: 10.2307/2531595
– volume: 21
  year: 2020
  ident: 2021013103050716000_11.1.e043952.16
  article-title: Optimum waist circumference-height indices for evaluating adult adiposity: an analytic review
  publication-title: Obes Rev
  doi: 10.1111/obr.12947
  contributor:
    fullname: Hwaung
– ident: 2021013103050716000_11.1.e043952.7
  doi: 10.1111/j.1467-789X.2011.00952.x
– ident: 2021013103050716000_11.1.e043952.20
– volume: 13
  year: 2016
  ident: 2021013103050716000_11.1.e043952.35
  article-title: Comparison of anthropometric and atherogenic indices as screening tools of metabolic syndrome in the Kazakh adult population in Xinjiang
  publication-title: Int J Environ Res Public Health
  contributor:
    fullname: Zhang
– volume: 2019
  start-page: 1
  year: 2019
  ident: 2021013103050716000_11.1.e043952.37
  article-title: Comparative abilities of body mass index, waist circumference, abdominal volume index, body adiposity index, and Conicity index as predictive screening tools for metabolic syndrome among apparently healthy Ghanaian adults
  publication-title: J Obes
  doi: 10.1155/2019/8143179
  contributor:
    fullname: Quaye
– volume: 11
  year: 2019
  ident: 2021013103050716000_11.1.e043952.36
  article-title: Waist circumference and abdominal volume index can predict metabolic syndrome in adolescents, but only when the criteria of the International diabetes Federation are employed for the diagnosis
  publication-title: Nutrients
  doi: 10.3390/nu11061370
  contributor:
    fullname: Perona
– volume: 20
  start-page: 1109
  year: 2012
  ident: 2021013103050716000_11.1.e043952.5
  article-title: Dual-Energy X-ray performs as well as clinical computed tomography for the measurement of visceral fat
  publication-title: Obesity
  doi: 10.1038/oby.2011.367
  contributor:
    fullname: Micklesfield
– ident: 2021013103050716000_11.1.e043952.17
  doi: 10.1093/eurheartj/ehz455
– volume: 248
  start-page: 2
  year: 2016
  ident: 2021013103050716000_11.1.e043952.21
  article-title: The prevalence, awareness, treatment and control of dyslipidemia among adults in China
  publication-title: Atherosclerosis
  doi: 10.1016/j.atherosclerosis.2016.02.006
  contributor:
    fullname: Pan
– ident: 2021013103050716000_11.1.e043952.19
  doi: 10.1007/s00125-015-3861-8
– volume: 54
  start-page: 797
  year: 2006
  ident: 2021013103050716000_11.1.e043952.4
  article-title: Management issues in the metabolic syndrome
  publication-title: J Assoc Physicians India
  contributor:
    fullname: Deedwania
– volume: 14
  year: 2019
  ident: 2021013103050716000_11.1.e043952.15
  article-title: Can waist circumference provide a new "third" dimension to BMI when predicting percentage body fat in children? Insights using allometric modelling
  publication-title: Pediatr Obes
  doi: 10.1111/ijpo.12491
  contributor:
    fullname: Nevill
– ident: 2021013103050716000_11.1.e043952.24
  doi: 10.1016/j.beem.2007.04.007
– volume: 28
  start-page: 15
  year: 2020
  ident: 2021013103050716000_11.1.e043952.32
  article-title: A new waist-to-height ratio predicts abdominal adiposity in adults
  publication-title: Res Sports Med
  doi: 10.1080/15438627.2018.1502183
  contributor:
    fullname: Nevill
– volume: 6
  year: 2016
  ident: 2021013103050716000_11.1.e043952.25
  article-title: Visceral adiposity and anthropometric indicators as screening tools of metabolic syndrome among low income rural adults in Xinjiang
  publication-title: Sci Rep
  contributor:
    fullname: Guo
– volume: 33
  start-page: 287
  year: 2014
  ident: 2021013103050716000_11.1.e043952.41
  article-title: Evaluation of body adiposity index (BAI) to estimate percent body fat in an Indigenous population
  publication-title: Clin Nutr
  doi: 10.1016/j.clnu.2013.04.021
  contributor:
    fullname: Kuhn
– volume: 57
  start-page: 194
  year: 2019
  ident: 2021013103050716000_11.1.e043952.13
  article-title: The feasibility of two anthropometric indices to identify metabolic syndrome, insulin resistance and inflammatory factors in obese and overweight adults
  publication-title: Nutrition
  doi: 10.1016/j.nut.2018.05.004
  contributor:
    fullname: Li
– ident: 2021013103050716000_11.1.e043952.31
  doi: 10.1016/j.arr.2009.06.001
– volume: 34
  start-page: 428
  year: 2003
  ident: 2021013103050716000_11.1.e043952.10
  article-title: Abdominal volume index. An anthropometry-based index for estimation of obesity is strongly related to impaired glucose tolerance and type 2 diabetes mellitus
  publication-title: Arch Med Res
  doi: 10.1016/S0188-4409(03)00073-0
  contributor:
    fullname: Guerrero-Romero
– ident: 2021013103050716000_11.1.e043952.12
  doi: 10.1371/journal.pone.0039504
– ident: 2021013103050716000_11.1.e043952.28
  doi: 10.1093/qjmed/hcw056
– volume: 19
  start-page: 1083
  year: 2011
  ident: 2021013103050716000_11.1.e043952.8
  article-title: A better index of body adiposity
  publication-title: Obesity
  doi: 10.1038/oby.2011.38
  contributor:
    fullname: Bergman
– volume: 49
  year: 2019
  ident: 2021013103050716000_11.1.e043952.38
  article-title: Waist circumference and abdominal volume index are the strongest anthropometric discriminators of metabolic syndrome in Spanish adolescents
  publication-title: Eur J Clin Invest
  doi: 10.1111/eci.13060
  contributor:
    fullname: Perona
– ident: 2021013103050716000_11.1.e043952.29
  doi: 10.3390/nu11081701
– volume: 102
  start-page: 507
  year: 2017
  ident: 2021013103050716000_11.1.e043952.27
  article-title: Metabolic syndrome among adults in China: the 2010 China noncommunicable disease surveillance
  publication-title: J Clin Endocrinol Metab
  contributor:
    fullname: Lu
– ident: 2021013103050716000_11.1.e043952.43
  doi: 10.1136/bmjopen-2017-016062
– ident: 2021013103050716000_11.1.e043952.6
  doi: 10.1002/ajpa.20262
– volume: 27
  start-page: 1470
  year: 2017
  ident: 2021013103050716000_11.1.e043952.14
  article-title: Scaling waist girth for differences in body size reveals a new improved index associated with cardiometabolic risk
  publication-title: Scand J Med Sci Sports
  doi: 10.1111/sms.12780
  contributor:
    fullname: Nevill
– ident: 2021013103050716000_11.1.e043952.22
  doi: 10.1136/heartjnl-2015-308104
– volume: 9
  start-page: 1457
  year: 2018
  ident: 2021013103050716000_11.1.e043952.26
  article-title: Agreement between the JCDCG, revised NCEP-ATPIII, and IDF definitions of metabolic syndrome in a northwestern Chinese population
  publication-title: Diabetes Ther
  doi: 10.1007/s13300-018-0446-9
  contributor:
    fullname: Sun
– ident: 2021013103050716000_11.1.e043952.9
  doi: 10.1016/0895-4356(91)90059-I
– volume: 9
  year: 2014
  ident: 2021013103050716000_11.1.e043952.42
  article-title: Entering a new era of body indices: the feasibility of a body shape index and body roundness index to identify cardiovascular health status
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0107212
  contributor:
    fullname: Maessen
– ident: 2021013103050716000_11.1.e043952.3
  doi: 10.2337/dc12-0336
SSID ssj0000459552
Score 2.373761
Snippet ObjectivesWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and...
We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height (WHT.5R) and body mass index...
Objectives We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and...
OBJECTIVESWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and...
Objectives We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and...
SourceID doaj
pubmedcentral
proquest
crossref
pubmed
bmj
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage e043952
SubjectTerms Abdomen
Adolescent
Adult
Aged
Aged, 80 and over
Body Mass Index
Body measurements
China - epidemiology
Cholesterol
Cross-Sectional Studies
Diabetes
Epidemiology
Female
Humans
Independent sample
Laboratories
Male
Metabolic syndrome
Metabolic Syndrome - diagnosis
Metabolic Syndrome - epidemiology
Middle Aged
Obesity
preventive medicine
Public Health
Risk Factors
ROC Curve
statistics & research methods
Waist Circumference
Waist-Height Ratio
Women
Young Adult
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB5BD4gLouWVvuRKSHAgqh9JnPRWEFVVqXChUm-RHY8FqM1WzVbi53fGyS67CAEHDrk4Y8n2jGc-y-NvAF5LlBaxq3OjI-aFMyr3RlU5GokYrQ8q0S6ef6pOL4qzy_JypdQX54SN9MDjwh2i1MEWJfqOgEqM3sfaRoneqVjR0WR85iublcNU8sFF2ZSlnmiGlKkO_fV3rkdFVqE5n9E0_NToIbWuBaTE2_87sPlrzuRKEDp5Ck8m9CiOx1FvwgPst-DR-XQ__gx-fCYPQJrDINxUAeGaS2Z1gq-mySUIN4ibW5ZnNyfIZ9A5lqKXmM9mV4MgBCuoAxnGFfVZsBlQZ5F4OoYj4USaRj6kFC4eTCKofQ4XJx-_fDjNp9oKuac9Os8JaAU0gdlqAjqvnKOFKTwdH0prO4NVqFWHvqpdpbyvY_AkECTWhQ4xEKZ4ARv9rMdXIHyMzqFuomkcwT9Zu0Z15DVN3amgbZfBW1rmdtobQ5uOHaZqJ420rJF21EgGb1j0ZiTa-LPku4XW_k38PWt2Kcqk2qmBTK2dTK39m6llsLuwi5-z0QVf3GqrmgwOlr9J03zx4nqc3Y0y9BEwyODlaEbLkRhT8vv1MgO7ZmBrQ13_03_7mnjALUEtCmjb_2NuO_BYc7aOVBSVd2FjfnuHewS35n4_7ax7gGwsfg
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: PubMed Central
  dbid: RPM
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Na9RAFH-0PYggovUrWmUEQQ-mm5lJMok3LZYirHqw0FuYjzda6SbLZgv98_tmkqxdEREPuSRvwkzed-bN7wG8yjBTiLZKpfCY5lry1EhepigzRK-M4xF2cf65PDnNP50VZztQTGdhYtG-NeeH7cXisD3_EWsrlws7m-rEZl_nR4p8DGnybBd2SUBvpOjR_OZFXRRiRBjispyZxc_QiooEQoRSRlkXoYeNlEU4OBycChFsuaWI3v-nkPP3yskbruj4HtwdY0j2fpjrfdjBdh9uzcdd8n24M_yLY8MRowdw9YXsAvETHdNjX4RFaKRlWdiwJkPBdM-WqzA-GD9GloSyW_JpbN11Fz2juJbRABKX8NYJ44AGs4je0b9jmsVlpX0s7AqTi7C1D-H0-OO3o5N07LiQGtLcdUrhl0PpAoaNQ2241vTNckNJRaGUlVi6ils0ZaVLbkzlnSECl2GVC-cdRRqPYK_tWnwCzHivNYray1pTUJhVuuaWbKmsLHdC2QTe0GdvRo3pm5iMyLIZmdUEZjUDsxJ4HUiXA_zG3ynfTlz8N_IPgdMb0gC1HW90q-_NKHANZsKpvEBjKVL23hhfKZ-h0dyXlBtXCRxMcvJrNSIP27lC8TqBl5vHxOmwHaNb7C4HGrooXEjg8SBWm5lMwpmA2hK4raluPyFliejgo3I8_e-Rz-C2CIU7GScHfQB769UlPqfIa21eRE27BmjnMIo
  priority: 500
  providerName: National Library of Medicine
– databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3da9RAEB_sFUQQ0foVrbKCoA-GZneTbOKLWGkpQquIhb6F3eysH9jkvFzBP9-ZZO_qiRQf8pLMhk1mduY3O7MzAM8zzAxiW6VaBUxzq2XqtCxT1BliMM7Lsezi8Ul5dJq_PyvO4obbENMqVzpxVNS-b3mPfE_lHCBTRtZv5j9T7hrF0dXYQmMLthV5CtkMtvcPTj5-Wu-yEGCpi0LFckNSl3vu_Dv3pSLpUJzXqGs-crRFdzcM01i__1-g8-_cyT-M0eFtuBVRpHg7sf0OXMNuB64fxzj5DtycduPEdMjoLvz6QJqBOIpe2NgZ4ZxbabWCQ9akKoQdxHzB41n9CdIl5N-SVRPLvv8xCEK2ggaQwPBbV1UOaLAY63cMr4UV42elw5jaxZMbC9feg9PDg8_vjtLYcyF1tHaXKQEwj9pzFRuP1klr6UfljtyKwphWY-kr2aIrK1tK56rgHRH4DKtc-eAJa9yHWdd3-BCEC8FaVHXQtSVYmFW2li1pU1210ivTJvCSfnsT18zQjO6ILpvIoYY51EwcSuAFk86nAhxXU75acfH_yPeZ02tSLrY93ugXX5q4dhvMlDd5ga4lrByCc6EyIUNnZSjJO64S2F3JyeXXXMprAs_Wj4nTHJCxHfYXEw1dBBgSeDCJ1XomWhd8rr1IwGwI3MZUN590376O9cENQTAydI-untZjuKE4PyeTZId3YbZcXOATAlhL9zSuot8j9ykD
  priority: 102
  providerName: ProQuest
– databaseName: Scholars Portal Open Access Journals
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB5VRap6QVBeoQ8ZCQkOBGI7iZNKCAGiqpAKF1bqLbLjMQ9tk3azlcq_Z-w4C4taxCGX9ThyPOOZb-TZbwCeZpgpxLZKpXCY5lry1EhepigzRKeM5YF28eRTeTzLP54WpxswdUWNGzhcm9r5flKzxfzl1cXPN3TgX8eOJK_M2Q8_RAoXvlRR1gX55Fsip1Td1_JFvB9cc17URSEi-9ANc7dhS8rC_6nYBxwSWAtZgdn_Ojj6d1XlH2Hq6A7cjviSvR0N4i5sYLcDWyfxBv0eXH0mH0G6Rct07JFw5ptqtcxfXpPTYHpg5wsv7x0hI69CmS7FN7bs-_nACOMymkCmM6c5E98BTWaByWM4ZJqFz0iHUOTlFxMobO_D7OjDl_fHaey-kBo6xcuUoJhFaT2fjUVtuNa0R7mhBKNQqpVY2oq3aMpKl9yYyllDAjbDKhfWWUIdD2Cz6zt8BMw4pzWK2slaE0DMKl3zlvyqrFpuhWoTeE7b3EzKb0JiIssmKqfxymlG5STwzIuej1Qc_5Z8MWnt_8Tfec2uRD3tdvihX3xt4iluMBNW5QWallCzc8a4SrkMjeaupDy5SmBvsovfXyNyf7UrFK8TeLIaJk37qxndYX85ytBD0CGBh6MZrVYyGWMCas3A1pa6PtJ9_xaYwhWBMQp5j2985y5sC1-kk3EKxnuwuVxc4j6hrKU5CCfnF-vAJyE
  priority: 102
  providerName: Scholars Portal
Title Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study
URI http://dx.doi.org/10.1136/bmjopen-2020-043952
https://www.ncbi.nlm.nih.gov/pubmed/33518525
https://www.proquest.com/docview/2484162719
https://search.proquest.com/docview/2484248067
https://pubmed.ncbi.nlm.nih.gov/PMC7853002
https://doaj.org/article/e02d745ebc774ffbbf87f0eba1f60948
Volume 11
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3da9UwFD_oBuKL-G11KxEEfbDYJG2T7m0bm0PoFNnk-lSS5gSV7d6x3oF_vidp73UVlT20hfakpDkn5_zy0d8BeJVjrhA7nUnhMSuM5JmVvMpQ5oheWccj7WJzXB2dFh9m5ezaz-rTFXwuq3f2_EdIJEXqFGEjoqxL8ribgbU89MP668l6SoXQSV3GHDsiL4qMgHo58gz94z0UT-juJCJF4v6_oc0_N01ei0KH9-HeCB_Z7qDvB3AL5w_hTjMukD-Cnx_JBZDq0DEzpkA4DzmzOhbWpsknMNOzi8sgH_wcI6dBA1kKX2y5WJz1jCAsowJkGWdUZkVnQIVZJOrod5hh8TOyPu7hCpWJDLWP4fTw4GT_KBuTK2SWOukyI6TlULpAV-PQWG4MNUxhafxQKtVJrJzmHdpKm4pbq72zJOBy1IVw3hGoeAIb88UcnwGz3huDovayNoT_cm1q3pHblLrjTqgugTfUzO3YOfo2jjtk1Y4aaYNG2kEjCbwOohcD08b_Jd-utHYz8b2g2bVoYNWON8jU2rGTtpgLp4oSbUeg2HtrvVY-R2u4r2gYrBPYWtnF768RRVi5FYrXCbxcPyZNh5UXM8fF1SBDByGDBJ4OZrSuiZRl-IG9TEBNDGxS1emT-fdvkQhcEdaiiPb8xo32Au6KsCcn5xR7t2BjeXmF2wSqljaF22qm0tihUtjc3W-aL3TdOzj-9DmNExV0fj_jdG4KncZZsV9GVSZQ
link.rule.ids 230,315,730,783,787,867,888,2109,2228,12068,21400,24330,27561,27562,27868,27936,27937,31731,31732,33756,33757,43322,43817,53804,53806,55677,55678,74073,74630
linkProvider BMJ Publishing Group Ltd
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Nb9QwELVokaASQlCgBAoYCQkORI3tJE64IEBUC3TLpZX2FtnxmA_RZNlsJX4-M453yyJUccglGUdOZjx-9ozfMPYsg0wDtFWqpIc0N0qkVokyBZUBeG2dCLSL0-Nycpp_nBWzuOE2xLTKlU8Mjtr1Le2RH8icAmRSi_r1_GdKVaMouhpLaGyxq8TDRRUM9Eyv91gQrtRFISPZkFDlgT37TlWp0DYkZTWqmg4cbeHdjWkpsPf_C3L-nTn5x1R0eIvdjBiSvxmVfptdgW6XXZvGKPkuuzHuxfHxiNEd9usz-gXUJzhuYl2EMyqk1XIKWKOj4Gbg8wW1J-fH0ZPg6hbnNL7s-x8DR1zLsQGaC711xXGAjXlg7xheccPDZ6VDSOyizgXa2rvs9PD9ybtJGisupBZH7jJF-OVAOeKwcWCsMAZ_VG5xUVFo3SooXSVasGVlSmFt5Z1FAZdBlUvnHSKNe2y76zu4z7j13hiQtVe1QVCYVaYWLfpSVbXCSd0m7AX-9iaOmKEJixFVNlFDDWmoGTWUsOckOh_pNy6XfLnS4v-JvyVNr0WJajvc6BdfmjhyG8ik03kBtkWk7L21vtI-A2uEL3FtXCVsf2UnF19zYa0Je7p-jJqmcIzpoD8fZfBCuJCwvdGs1j1RqqBT7UXC9IbBbXR180n37WtgB9cIwHCae3B5t56w65OT6VFz9OH400O2IylTJxM4I--z7eXiHB4h1Frax2E8_QZTLyqO
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3da9RAEB_sFYogolVrtOoKgj4YLptNsokvYrVH_WgtYqFvYTc76wf2cl6u4J_vTLJ39USKD3lJZsMm8_XbndkZgCcJJhqxKWOVeowzo2RslSxiVAmi19bJvuzi4VFxcJK9O81PQ_5TF9IqlzaxN9SubXiPfJxmHCBLtazGPqRFHL-ZvJz9jLmDFEdaQzuNDdjUWaGSEWzu7R8df1rtuBB4qfI8DaWHpCrG9uw796giSUk5x1FVfPxog-6uOam-lv-_AOjfeZR_OKbJDbgeEKV4NYjATbiC023YOgwx8224NuzMieHA0S349ZGsBHEXnTChS8IZt9VqBIevyWwI04nZnMezKRRkV2itSx5OLNr2RycI5QoaQMLDb11WPKDBoq_l0b0QRvSfFXd9mhdPri9iextOJvufXx_Eof9CbEmPFzGBMYfKcUUbh8ZKY-hHZZaWGLnWjcLClbJBW5SmkNaW3lkicAmWWeq8I9xxB0bTdop3QVjvjcG08qoyBBGT0lSyIcuqyka6VDcRPKPfXgf96ep-aaKKOnCoZg7VA4cieMqks6EYx-WUz5dc_D_yPeb0ipQLb_c32vmXOuhxjUnqdJajbQg3e2-tL7VP0BrpC1oplxHsLuXk4msuZDeCx6vHxGkOzpgptucDDV0EHiLYGcRqNROlcj7jnkeg1wRubarrT6bfvva1wjXBMXJ69y6f1iPYImWqP7w9en8frqactpNIcs-7MFrMz_EB4a6FfRgU6jdOrzAr
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=Optimised+anthropometric+indices+as+predictive+screening+tools+for+metabolic+syndrome+in+adults%3A+a+cross-sectional+study&rft.jtitle=BMJ+open&rft.au=Wu%2C+Yating&rft.au=Li%2C+Hongyu&rft.au=Tao%2C+Xiujuan&rft.au=Fan%2C+Yanna&rft.date=2021-01-31&rft.eissn=2044-6055&rft.volume=11&rft.issue=1&rft.spage=e043952&rft_id=info:doi/10.1136%2Fbmjopen-2020-043952&rft_id=info%3Apmid%2F33518525&rft.externalDocID=33518525
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2044-6055&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2044-6055&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2044-6055&client=summon