Using appropriate pre-pregnancy body mass index cut points for obesity in the Chinese population: a retrospective cohort study
Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI ≥ 25 kg/m as recommended by the WHO for Asians or BMI ≥ 28 kg/m as suggested by the Working Group on Obesity in...
Saved in:
Published in | Reproductive biology and endocrinology Vol. 16; no. 1; pp. 77 - 7 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
10.08.2018
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI ≥ 25 kg/m
as recommended by the WHO for Asians or BMI ≥ 28 kg/m
as suggested by the Working Group on Obesity in China (WGOC), best predicts the risk of adverse maternal and perinatal outcomes.
We retrospectively reviewed 11,494 medical records for live singleton deliveries in a tertiary center in Guangzhou, China, between January 2013 and December 2016. The primary outcomes included maternal obesity prevalence, adverse maternal and perinatal outcomes. Data were analyzed using the Chi-square test, logistic regression, and diagnostics tests.
Among the study population, 824 (7.2%) were obese according to the WHO criteria for Asian populations, and this would be reduced to 198 (1.7%) based on the criteria of WGOC. Obesity-related adverse maternal and perinatal outcomes were gestational diabetes mellitus, preeclampsia, cesarean section, and large for gestational age (P < 0.05). Compared to the WGOC criterion, the WHO for Asians criterion had a higher Youden index in our assessment of its predictive value in identifying risk of obesity-related adverse outcomes for Chinese pregnant women. Women in the BMI range of 25 to 28 kg/m
are at high risks for adverse maternal and perinatal outcomes, which were similar to women with BMI ≥ 28 kg/m
.
A lower pre-pregnancy BMI cutoff at 25 kg/m
for defining obesity may be appropriate for pregnant women in South China. If WGOC standards are applied to pregnant Chinese populations, a significant proportion of at-risk patients may be missed. |
---|---|
AbstractList | BackgroundAppropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI ≥ 25 kg/m2 as recommended by the WHO for Asians or BMI ≥ 28 kg/m2 as suggested by the Working Group on Obesity in China (WGOC), best predicts the risk of adverse maternal and perinatal outcomes.MethodsWe retrospectively reviewed 11,494 medical records for live singleton deliveries in a tertiary center in Guangzhou, China, between January 2013 and December 2016. The primary outcomes included maternal obesity prevalence, adverse maternal and perinatal outcomes. Data were analyzed using the Chi-square test, logistic regression, and diagnostics tests.ResultsAmong the study population, 824 (7.2%) were obese according to the WHO criteria for Asian populations, and this would be reduced to 198 (1.7%) based on the criteria of WGOC. Obesity-related adverse maternal and perinatal outcomes were gestational diabetes mellitus, preeclampsia, cesarean section, and large for gestational age (P < 0.05). Compared to the WGOC criterion, the WHO for Asians criterion had a higher Youden index in our assessment of its predictive value in identifying risk of obesity-related adverse outcomes for Chinese pregnant women. Women in the BMI range of 25 to 28 kg/m2 are at high risks for adverse maternal and perinatal outcomes, which were similar to women with BMI ≥ 28 kg/m2.ConclusionsA lower pre-pregnancy BMI cutoff at 25 kg/m2 for defining obesity may be appropriate for pregnant women in South China. If WGOC standards are applied to pregnant Chinese populations, a significant proportion of at-risk patients may be missed. Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI ≥ 25 kg/m as recommended by the WHO for Asians or BMI ≥ 28 kg/m as suggested by the Working Group on Obesity in China (WGOC), best predicts the risk of adverse maternal and perinatal outcomes. We retrospectively reviewed 11,494 medical records for live singleton deliveries in a tertiary center in Guangzhou, China, between January 2013 and December 2016. The primary outcomes included maternal obesity prevalence, adverse maternal and perinatal outcomes. Data were analyzed using the Chi-square test, logistic regression, and diagnostics tests. Among the study population, 824 (7.2%) were obese according to the WHO criteria for Asian populations, and this would be reduced to 198 (1.7%) based on the criteria of WGOC. Obesity-related adverse maternal and perinatal outcomes were gestational diabetes mellitus, preeclampsia, cesarean section, and large for gestational age (P < 0.05). Compared to the WGOC criterion, the WHO for Asians criterion had a higher Youden index in our assessment of its predictive value in identifying risk of obesity-related adverse outcomes for Chinese pregnant women. Women in the BMI range of 25 to 28 kg/m are at high risks for adverse maternal and perinatal outcomes, which were similar to women with BMI ≥ 28 kg/m . A lower pre-pregnancy BMI cutoff at 25 kg/m for defining obesity may be appropriate for pregnant women in South China. If WGOC standards are applied to pregnant Chinese populations, a significant proportion of at-risk patients may be missed. Background Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI [greater than or equai to] 25 kg/m.sup.2 as recommended by the WHO for Asians or BMI [greater than or equai to] 28 kg/m.sup.2 as suggested by the Working Group on Obesity in China (WGOC), best predicts the risk of adverse maternal and perinatal outcomes. Methods We retrospectively reviewed 11,494 medical records for live singleton deliveries in a tertiary center in Guangzhou, China, between January 2013 and December 2016. The primary outcomes included maternal obesity prevalence, adverse maternal and perinatal outcomes. Data were analyzed using the Chi-square test, logistic regression, and diagnostics tests. Results Among the study population, 824 (7.2%) were obese according to the WHO criteria for Asian populations, and this would be reduced to 198 (1.7%) based on the criteria of WGOC. Obesity-related adverse maternal and perinatal outcomes were gestational diabetes mellitus, preeclampsia, cesarean section, and large for gestational age (P < 0.05). Compared to the WGOC criterion, the WHO for Asians criterion had a higher Youden index in our assessment of its predictive value in identifying risk of obesity-related adverse outcomes for Chinese pregnant women. Women in the BMI range of 25 to 28 kg/m.sup.2 are at high risks for adverse maternal and perinatal outcomes, which were similar to women with BMI [greater than or equai to] 28 kg/m.sup.2. Conclusions A lower pre-pregnancy BMI cutoff at 25 kg/m.sup.2 for defining obesity may be appropriate for pregnant women in South China. If WGOC standards are applied to pregnant Chinese populations, a significant proportion of at-risk patients may be missed. Keywords: Obesity, Pregnancy, Body mass index, Outcome Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI ≥ 25 kg/m2 as recommended by the WHO for Asians or BMI ≥ 28 kg/m2 as suggested by the Working Group on Obesity in China (WGOC), best predicts the risk of adverse maternal and perinatal outcomes.BACKGROUNDAppropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI ≥ 25 kg/m2 as recommended by the WHO for Asians or BMI ≥ 28 kg/m2 as suggested by the Working Group on Obesity in China (WGOC), best predicts the risk of adverse maternal and perinatal outcomes.We retrospectively reviewed 11,494 medical records for live singleton deliveries in a tertiary center in Guangzhou, China, between January 2013 and December 2016. The primary outcomes included maternal obesity prevalence, adverse maternal and perinatal outcomes. Data were analyzed using the Chi-square test, logistic regression, and diagnostics tests.METHODSWe retrospectively reviewed 11,494 medical records for live singleton deliveries in a tertiary center in Guangzhou, China, between January 2013 and December 2016. The primary outcomes included maternal obesity prevalence, adverse maternal and perinatal outcomes. Data were analyzed using the Chi-square test, logistic regression, and diagnostics tests.Among the study population, 824 (7.2%) were obese according to the WHO criteria for Asian populations, and this would be reduced to 198 (1.7%) based on the criteria of WGOC. Obesity-related adverse maternal and perinatal outcomes were gestational diabetes mellitus, preeclampsia, cesarean section, and large for gestational age (P < 0.05). Compared to the WGOC criterion, the WHO for Asians criterion had a higher Youden index in our assessment of its predictive value in identifying risk of obesity-related adverse outcomes for Chinese pregnant women. Women in the BMI range of 25 to 28 kg/m2 are at high risks for adverse maternal and perinatal outcomes, which were similar to women with BMI ≥ 28 kg/m2.RESULTSAmong the study population, 824 (7.2%) were obese according to the WHO criteria for Asian populations, and this would be reduced to 198 (1.7%) based on the criteria of WGOC. Obesity-related adverse maternal and perinatal outcomes were gestational diabetes mellitus, preeclampsia, cesarean section, and large for gestational age (P < 0.05). Compared to the WGOC criterion, the WHO for Asians criterion had a higher Youden index in our assessment of its predictive value in identifying risk of obesity-related adverse outcomes for Chinese pregnant women. Women in the BMI range of 25 to 28 kg/m2 are at high risks for adverse maternal and perinatal outcomes, which were similar to women with BMI ≥ 28 kg/m2.A lower pre-pregnancy BMI cutoff at 25 kg/m2 for defining obesity may be appropriate for pregnant women in South China. If WGOC standards are applied to pregnant Chinese populations, a significant proportion of at-risk patients may be missed.CONCLUSIONSA lower pre-pregnancy BMI cutoff at 25 kg/m2 for defining obesity may be appropriate for pregnant women in South China. If WGOC standards are applied to pregnant Chinese populations, a significant proportion of at-risk patients may be missed. Abstract Background Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI ≥ 25 kg/m2 as recommended by the WHO for Asians or BMI ≥ 28 kg/m2 as suggested by the Working Group on Obesity in China (WGOC), best predicts the risk of adverse maternal and perinatal outcomes. Methods We retrospectively reviewed 11,494 medical records for live singleton deliveries in a tertiary center in Guangzhou, China, between January 2013 and December 2016. The primary outcomes included maternal obesity prevalence, adverse maternal and perinatal outcomes. Data were analyzed using the Chi-square test, logistic regression, and diagnostics tests. Results Among the study population, 824 (7.2%) were obese according to the WHO criteria for Asian populations, and this would be reduced to 198 (1.7%) based on the criteria of WGOC. Obesity-related adverse maternal and perinatal outcomes were gestational diabetes mellitus, preeclampsia, cesarean section, and large for gestational age (P < 0.05). Compared to the WGOC criterion, the WHO for Asians criterion had a higher Youden index in our assessment of its predictive value in identifying risk of obesity-related adverse outcomes for Chinese pregnant women. Women in the BMI range of 25 to 28 kg/m2 are at high risks for adverse maternal and perinatal outcomes, which were similar to women with BMI ≥ 28 kg/m2. Conclusions A lower pre-pregnancy BMI cutoff at 25 kg/m2 for defining obesity may be appropriate for pregnant women in South China. If WGOC standards are applied to pregnant Chinese populations, a significant proportion of at-risk patients may be missed. Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI cut-offs of obesity, either BMI [greater than or equai to] 25 kg/m.sup.2 as recommended by the WHO for Asians or BMI [greater than or equai to] 28 kg/m.sup.2 as suggested by the Working Group on Obesity in China (WGOC), best predicts the risk of adverse maternal and perinatal outcomes. We retrospectively reviewed 11,494 medical records for live singleton deliveries in a tertiary center in Guangzhou, China, between January 2013 and December 2016. The primary outcomes included maternal obesity prevalence, adverse maternal and perinatal outcomes. Data were analyzed using the Chi-square test, logistic regression, and diagnostics tests. Among the study population, 824 (7.2%) were obese according to the WHO criteria for Asian populations, and this would be reduced to 198 (1.7%) based on the criteria of WGOC. Obesity-related adverse maternal and perinatal outcomes were gestational diabetes mellitus, preeclampsia, cesarean section, and large for gestational age (P < 0.05). Compared to the WGOC criterion, the WHO for Asians criterion had a higher Youden index in our assessment of its predictive value in identifying risk of obesity-related adverse outcomes for Chinese pregnant women. Women in the BMI range of 25 to 28 kg/m.sup.2 are at high risks for adverse maternal and perinatal outcomes, which were similar to women with BMI [greater than or equai to] 28 kg/m.sup.2. A lower pre-pregnancy BMI cutoff at 25 kg/m.sup.2 for defining obesity may be appropriate for pregnant women in South China. If WGOC standards are applied to pregnant Chinese populations, a significant proportion of at-risk patients may be missed. |
ArticleNumber | 77 |
Audience | Academic |
Author | Wu, Yanxin Chen, Haitian Li, Zhuyu Wang, Dongyu Ming, Wai-Kit Wang, Zilian |
Author_xml | – sequence: 1 givenname: Yanxin surname: Wu fullname: Wu, Yanxin – sequence: 2 givenname: Wai-Kit surname: Ming fullname: Ming, Wai-Kit – sequence: 3 givenname: Dongyu surname: Wang fullname: Wang, Dongyu – sequence: 4 givenname: Haitian surname: Chen fullname: Chen, Haitian – sequence: 5 givenname: Zhuyu surname: Li fullname: Li, Zhuyu – sequence: 6 givenname: Zilian orcidid: 0000-0002-1310-3346 surname: Wang fullname: Wang, Zilian |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30097043$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kktv1DAURiNURB_wA9ggS2zYpDh-xDELpGrEo1IlNnRt2Y4z41HGDrZTMV3w27nTKaVTIWRZiexzj32T77Q6CjG4qnrd4POm6dr3uSGSdzVuYFIp6ttn1UnDhKhFR8TRo_fj6jTnNcYE4659UR1TjKXAjJ5Uv66zD0ukpynFKXldHJqSq2Eugw52i0zst2ijc0Y-9O4nsnNBU_ShZDTEhKJx2ZctbKKycmix8sFlcMRpHnXxMXxAGiVXUsyTs8XfOGTjKqaCcpn77cvq-aDH7F7dP8-q68-fvi--1lffvlwuLq5qy1tc6tZqOrCOGGYE1kRqLSnFxAydMUxqJhgT1jnKJet424qBSsMNES0VrDFE07Pqcu_to14raHSj01ZF7dXdQkxLpVPxdnRKGxg9GRx4GOFD1zktrJSsZ1QIy8D1ce-aZrNxvXWhJD0eSA93gl-pZbxRLe4ExhwE7-4FKf6YXS5q47N146iDi3NWBDguOREdoG-foOs4pwCfCiiJ4X6Ss7_UUkMDPgwRzrU7qbrgTAomudgde_4PCkbvNt5CsgYP6wcFbx43-tDhn_QA0OwBC783Jzc8IA1Wu4SqfUIVJFTtEqpuoUY8qbG-3CUFbuPH_1T-BvIO67w |
CitedBy_id | crossref_primary_10_1186_s12884_025_07222_x crossref_primary_10_1111_jog_14787 crossref_primary_10_1186_s12883_024_03678_0 crossref_primary_10_1111_1753_0407_13124 crossref_primary_10_1007_s10995_022_03560_w crossref_primary_10_1080_21623945_2020_1721692 crossref_primary_10_1016_j_jpsychires_2024_08_016 crossref_primary_10_3389_fendo_2021_760934 crossref_primary_10_3390_metabo14010026 crossref_primary_10_1186_s12884_019_2517_y crossref_primary_10_3390_brainsci13091245 crossref_primary_10_4103_sjmms_sjmms_256_22 crossref_primary_10_1155_2023_6669700 crossref_primary_10_1038_s41366_021_00946_8 |
Cites_doi | 10.1016/S0140-6736(03)15268-3 10.1097/AOG.0000000000000591 10.1016/S0002-8223(01)00008-6 10.1111/j.1471-0528.2008.01931.x 10.1097/AOG.0000000000001465 10.1017/jns.2015.32 10.1155/2013/790654 10.1038/sj.ijo.0803220 10.2337/dc11-S011 10.1016/j.jped.2016.11.014 10.1016/S0140-6736(02)09512-0 10.1007/s10995-009-0544-4 10.1007/s10995-015-1684-3 10.1038/ijo.2013.117 10.1111/1471-0528.12193 10.1038/sj.ijo.802197 10.2337/dc10-2300 10.1038/srep37168 10.1097/GRF.0000000000000042 10.1056/NEJMoa1614362 10.1007/s00404-012-2403-6 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2018 BioMed Central Ltd. Copyright © 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. The Author(s). 2018 |
Copyright_xml | – notice: COPYRIGHT 2018 BioMed Central Ltd. – notice: Copyright © 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. – notice: The Author(s). 2018 |
DBID | AAYXX CITATION NPM 3V. 7QG 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AN0 AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI 7X8 5PM DOA |
DOI | 10.1186/s12958-018-0397-z |
DatabaseName | CrossRef PubMed ProQuest Central (Corporate) Animal Behavior Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland British Nursing Database (Proquest) ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection Medical Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition MEDLINE - Academic PubMed Central (Full Participant titles) Open Access Journals (DOAJ) |
DatabaseTitle | CrossRef PubMed Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition British Nursing Index with Full Text ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition Animal Behavior Abstracts ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | Publicly Available Content Database PubMed MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ 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: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Anatomy & Physiology |
EISSN | 1477-7827 |
EndPage | 7 |
ExternalDocumentID | oai_doaj_org_article_ababad2fe667425f88ea7c994d4377c4 PMC6087005 A549749575 30097043 10_1186_s12958_018_0397_z |
Genre | Journal Article |
GeographicLocations | China |
GeographicLocations_xml | – name: China |
GrantInformation_xml | – fundername: Clinical Medical Project 5010 of Sun Yat-sen University, China grantid: 2012004 – fundername: ; grantid: 2012004 |
GroupedDBID | --- 0R~ 29P 2WC 53G 5VS 7X7 88E 8FI 8FJ AAFWJ AAJSJ AASML AAYXX ABDBF ABUWG ACGFO ACGFS ACPRK ACUHS ADBBV ADRAZ ADUKV AENEX AFKRA AFPKN AHBYD AHMBA AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AN0 AOIJS BAPOH BAWUL BCNDV BENPR BFQNJ BMC BNQBC BPHCQ BVXVI C6C CCPQU CITATION CS3 DIK DU5 E3Z EAD EAP EAS EBD EBLON EBS EJD EMB EMK EMOBN ESX F5P FYUFA GROUPED_DOAJ GX1 H13 HMCUK HYE IAO ICW IHR INH INR ITC KQ8 M1P M48 M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO RBZ RNS ROL RPM RSV SMD SOJ SV3 TR2 TUS UKHRP W2D WOQ WOW XSB NPM PJZUB PPXIY PMFND 3V. 7QG 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQUKI 7X8 5PM PUEGO |
ID | FETCH-LOGICAL-c560t-6ca3f482b4b70a29aa93302bf8bb49a47447cee359485667f39b5b2763741b2a3 |
IEDL.DBID | 7X7 |
ISSN | 1477-7827 |
IngestDate | Wed Aug 27 01:25:44 EDT 2025 Thu Aug 21 13:55:34 EDT 2025 Fri Jul 11 09:58:06 EDT 2025 Fri Jul 25 03:37:09 EDT 2025 Tue Jun 17 21:06:37 EDT 2025 Tue Jun 10 20:27:04 EDT 2025 Mon Jul 21 05:15:49 EDT 2025 Tue Jul 01 01:10:32 EDT 2025 Thu Apr 24 23:11:00 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Pregnancy Body mass index Obesity Outcome |
Language | English |
License | Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c560t-6ca3f482b4b70a29aa93302bf8bb49a47447cee359485667f39b5b2763741b2a3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ORCID | 0000-0002-1310-3346 |
OpenAccessLink | https://www.proquest.com/docview/2090425954?pq-origsite=%requestingapplication% |
PMID | 30097043 |
PQID | 2090425954 |
PQPubID | 42860 |
PageCount | 7 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_ababad2fe667425f88ea7c994d4377c4 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6087005 proquest_miscellaneous_2087595278 proquest_journals_2090425954 gale_infotracmisc_A549749575 gale_infotracacademiconefile_A549749575 pubmed_primary_30097043 crossref_primary_10_1186_s12958_018_0397_z crossref_citationtrail_10_1186_s12958_018_0397_z |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2018-08-10 |
PublicationDateYYYYMMDD | 2018-08-10 |
PublicationDate_xml | – month: 08 year: 2018 text: 2018-08-10 day: 10 |
PublicationDecade | 2010 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | Reproductive biology and endocrinology |
PublicationTitleAlternate | Reprod Biol Endocrinol |
PublicationYear | 2018 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
References | S Park (397_CR27) 2011; 15 TY Leung (397_CR19) 2008; 115 C Xiong (397_CR3) 2016; 6 Z Wang (397_CR2) 2014; 35 RT Overcash (397_CR7) 2014; 57 A American Diabetes (397_CR16) 2011; 34 R Scott-Pillai (397_CR20) 2013; 120 BF Zhou (397_CR15) 2002; 15 MA Kominiarek (397_CR8) 2015; 19 CJ Chang (397_CR24) 2003; 27 397_CR17 GBDO Collaborators (397_CR1) 2017; 377 MF Kuczmarski (397_CR26) 2001; 101 L Schummers (397_CR5) 2015; 125 397_CR10 WHO EC (397_CR13) 2004; 363 A Mra (397_CR22) 2012; 53 397_CR9 397_CR11 B Zhou (397_CR14) 2002; 23 SS Kim (397_CR4) 2016; 128 M Bryant (397_CR18) 2014; 38 V Choo (397_CR12) 2002; 360 M Chiu (397_CR21) 2011; 34 RG Oliveira (397_CR23) 2017; 93 YM Chen (397_CR25) 2006; 30 Y Liu (397_CR6) 2012; 286 |
References_xml | – volume: 363 start-page: 157 year: 2004 ident: 397_CR13 publication-title: Lancet doi: 10.1016/S0140-6736(03)15268-3 – volume: 35 start-page: 354 year: 2014 ident: 397_CR2 publication-title: Zhonghua Liu Xing Bing Xue Za Zhi – volume: 125 start-page: 133 year: 2015 ident: 397_CR5 publication-title: Obstet Gynecol doi: 10.1097/AOG.0000000000000591 – volume: 23 start-page: 5 year: 2002 ident: 397_CR14 publication-title: Zhonghua Liu Xing Bing Xue Za Zhi – volume: 101 start-page: 28 year: 2001 ident: 397_CR26 publication-title: J Am Diet Assoc doi: 10.1016/S0002-8223(01)00008-6 – volume: 115 start-page: 1529 year: 2008 ident: 397_CR19 publication-title: Bjog doi: 10.1111/j.1471-0528.2008.01931.x – volume: 53 start-page: 545 issue: 8 year: 2012 ident: 397_CR22 publication-title: Singapore Med J – volume: 128 start-page: 104 year: 2016 ident: 397_CR4 publication-title: Obstetrics and gynecology doi: 10.1097/AOG.0000000000001465 – ident: 397_CR11 doi: 10.1017/jns.2015.32 – ident: 397_CR10 doi: 10.1155/2013/790654 – volume: 30 start-page: 918 year: 2006 ident: 397_CR25 publication-title: Int J Obes (Lond) doi: 10.1038/sj.ijo.0803220 – volume: 15 start-page: 83 year: 2002 ident: 397_CR15 publication-title: Biomed Environ Sci – volume: 34 start-page: S11 issue: Suppl 1 year: 2011 ident: 397_CR16 publication-title: Diabetes Care doi: 10.2337/dc11-S011 – volume: 93 start-page: 525 year: 2017 ident: 397_CR23 publication-title: J Pediatr (Rio J) doi: 10.1016/j.jped.2016.11.014 – volume: 360 start-page: 235 year: 2002 ident: 397_CR12 publication-title: Lancet doi: 10.1016/S0140-6736(02)09512-0 – volume: 15 start-page: 851 year: 2011 ident: 397_CR27 publication-title: Matern Child Health J doi: 10.1007/s10995-009-0544-4 – volume: 19 start-page: 1698 year: 2015 ident: 397_CR8 publication-title: Matern Child Health J doi: 10.1007/s10995-015-1684-3 – volume: 38 start-page: 444 year: 2014 ident: 397_CR18 publication-title: Int J Obes (Lond) doi: 10.1038/ijo.2013.117 – volume: 120 start-page: 932 year: 2013 ident: 397_CR20 publication-title: Bjog doi: 10.1111/1471-0528.12193 – volume: 27 start-page: 253 year: 2003 ident: 397_CR24 publication-title: Int J Obes Relat Metab Disord doi: 10.1038/sj.ijo.802197 – volume: 34 start-page: 1741 year: 2011 ident: 397_CR21 publication-title: Diabetes Care doi: 10.2337/dc10-2300 – volume: 6 start-page: 37168 year: 2016 ident: 397_CR3 publication-title: Sci Rep doi: 10.1038/srep37168 – volume: 57 start-page: 485 year: 2014 ident: 397_CR7 publication-title: Clin Obstet Gynecol doi: 10.1097/GRF.0000000000000042 – ident: 397_CR17 – volume: 377 start-page: 13 year: 2017 ident: 397_CR1 publication-title: N Engl J Med doi: 10.1056/NEJMoa1614362 – ident: 397_CR9 – volume: 286 start-page: 905 year: 2012 ident: 397_CR6 publication-title: Arch Gynecol Obstet doi: 10.1007/s00404-012-2403-6 |
SSID | ssj0020086 |
Score | 2.2813265 |
Snippet | Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which pre-pregnancy BMI... Background Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which... BackgroundAppropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which... Abstract Background Appropriate classification of obesity is vital for risk assessment and complication prevention during pregnancy. We aimed to explore which... |
SourceID | doaj pubmedcentral proquest gale pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 77 |
SubjectTerms | Body mass index Cesarean section Cohort analysis Complications and side effects Data processing Diabetes mellitus Gestational age Gestational diabetes Health aspects Health risk assessment Hypertension Medical records Obesity Outcome Population studies Pre-eclampsia Pregnancy Pregnant women Risk assessment Risk factors Womens health |
SummonAdditionalLinks | – databaseName: Open Access Journals (DOAJ) dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Ni9QwFA-yJy-irh_VXXmCKAhl2zRtkr2N4rIIenJhbyHJJLrgtsNM5zB78G_3vbRTpgh6kdJDm482ycv7aN_7PcbeqLJ0lYhlXipb58j9bK4FMkPprSIRWJeRopG_fG0ur8Tn6_r6INUX-YQN8MDDxJ1Zh8eSx9A0aMXVUalgpddaLEUlpU9IoCjz9sbUaGqRpj7-wyxVc7ZBqVaT0xaFk2mZ382kUALr_5MlH8ikub_kgQC6eMgejJojLIY3fsTuhfYxO160aDXf7uAtJF_O9JH8mP1KngCQAMNXSGJ9AHL3wPM7AWzswHXLHdyi4gwJLhH8todVd9P2G0AtFrohXQAWAiqIQEm2wwb7mLJ9nYOFdejX3T5SEyjT7rqHBFf7hF1dfPr28TIfMy3kHjWePm-8raJQ3AknC8u1tfSdg7uonBPaCimERGlaEbYL6n8yVtrVjiNvQoXEcVs9ZUdt14bnDISzeCeKJnpsWkTLpYtFbOISLwMPGSv2M2_8CENO2TB-mmSOqMYMi2VwsQwtlrnL2PupyWrA4Phb5Q-0nFNFgs9ON5CozEhU5l9ElbF3RAyGNjm-nLdjrAIOkeCyzAKtaommpawzdjKriZvTz4v35GRG5rAxSK_EKnWNz3k9FVNLcnhrQ7elOmhI6ppLlbFnA_VNQ6oo-KYQVcbkjC5nY56XtDc_EnR4g90i333xPybpJbvP044ifOATdtSvt-EUNbTevUqb8TfaNTue priority: 102 providerName: Directory of Open Access Journals – databaseName: Scholars Portal Journals: Open Access dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3da9UwFA9zvvgi0_lRNyWCKAjVNk2bRBC5imMI88kLewtJbrINtvba2wvePfi3e07aW1Yco9yHNklv05zP5pzfIeSNzHNb8JCnuTRlCtLPpIqDMBTOSFSBZR4wG_nkZ3U85z9Oy9Mdsi1vNbzA1a2uHdaTmreXH_783nwBhv8cGV5WH1egs0oMycJkMSXS63vkPigmgQUNTvi4qYA7_dWwsXnrsIlqigj-_8vpG4pqGkR5Qysd7ZGHgzlJZ_36PyI7vn5M9mc1uNJXG_qWxgDP-OV8n_yN4QE0oogvge46TzEGBH5niLqxobZZbOgVWNM0YihSt-7osrmouxUF05Y2fQ0BaKRgNVKsvO1XcI-xBNgnamjru7bZpm9SLL_bdjRi2D4h86Pvv74dp0P5hdSBGdSllTNF4JJZbkVmmDIGP34wG6S1XBkuOBegYgsEfAGjUIRC2dIyEFhgpVhmiqdkt25q_5xQbg1cCbwKDoZmwTBhQxaqsIBTz3xCsu2b127AJscSGZc6-iiy0v1iaVgsjYulrxPyfhyy7IE57ur8FZdz7IiY2vFC057pgUW1sXAsWPAwF5BkQUpvhFOKL3ghhOMJeYfEoJEW4eGcGRIYYIqIoaVn4GoL8DdFmZDDSU_gWDdt3pKT3hK8ZplC-alK-J_XYzOOxCi42jdr7APepSqZkAl51lPfOKUCM3IyXiRETOhyMudpS31xHvHEK7gtCOMXdz_WAXnAIq8gHPAh2e3atX8JBllnX0U2-wfNZTVw priority: 102 providerName: Scholars Portal |
Title | Using appropriate pre-pregnancy body mass index cut points for obesity in the Chinese population: a retrospective cohort study |
URI | https://www.ncbi.nlm.nih.gov/pubmed/30097043 https://www.proquest.com/docview/2090425954 https://www.proquest.com/docview/2087595278 https://pubmed.ncbi.nlm.nih.gov/PMC6087005 https://doaj.org/article/ababad2fe667425f88ea7c994d4377c4 |
Volume | 16 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1La9wwEBZtcumltE0fbtJFhdJCwdQP2ZJ7KbslIRQSSmhg6UVIspQEGntrew-bQ357Z2SvE1MIZg1rScayRvPyzDeEfBBxrFPm4jAWKguB-6mwYMAMuVECRWAWO8xGPjnNj8_Zj2W2HBxu7RBWueWJnlGXtUEfORjpBdJXkbFvq78hVo3Cr6tDCY3HZBehy5Cq-fLO4EJ9ffiSGYv8SwuyLcPQLUwqK3h4M5FFHrL_f8Z8TzJNoybviaGjZ-TpoD_Seb_gz8kjW70ge_MKbOfrDf1IfUSnd5XvkVsfD0A9bPgKCK2zFIM-4HeBMBsbqutyQ69BfaYeNJGadUdX9VXVtRR0WVr3RQOgkYKaSLHUtm3hHmPNr69U0cZ2Tb3N16RYb7fpqAetfUnOjw5_fT8Oh3oLoQG9pwtzo1LHRKKZ5pFKCqXQ25FoJ7RmhWKcMQ4yNUWEF9ACuUsLnekEOBSoJTpR6SuyU9WVfUMo0wquOJY7A0MjpxKuXeRyV8Jfm9iARNs3L80ARo41Mf5Ib5SIXPaLJWGxJC6WvAnI53HIqkfieKjzApdz7Igg2v5C3VzIYU9KpeEoE2dhLkBaTgiruCkKVrKUc8MC8gmJQeJWh4czashYgCkiaJacg23NwcDkWUAOJj1hi5pp85ac5MAiWnlH0AF5PzbjSAx7q2y9xj5gThZZwkVAXvfUN04pxRSciKUB4RO6nMx52lJdXXoA8RxuC9z37cOPtU-eJH6vIP7vAdnpmrV9BxpYp2d-m83I7uLw9OfZzPsx4HzCBJzPFr__AUlONp4 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6VcoALAsrDUGCReEhIVu312msjIRQeVUofp1bqbdl1dkslaofEEUoP_CR-IzNrO62F1FsV5RDvQ97M2575BuBVHscmES4O41ynIWo_HRYClaEsdU4mMI0dVSPvH2TjI_HtOD1eg799LQylVfY60SvqSV3SM3IM0gviryIVH6e_QuoaRW9X-xYaLVvs2uVvDNnmH3a-IH1fc7799fDzOOy6CoQlWvcmzEqdOJFzI4yMNC-0ppieG5cbIwotpBASLUdCOCbo60iXFCY1HOUQja_hOsF9b8BNNLwRBXvy-CLAo_ige3Ma59nWHG1pSqliVMRWyPB8YPt8i4D_DcElSzjM0rxk9rbvwp3OX2WjlsHuwZqt7sPGqMJY_WzJ3jCfQeofzW_AH59_wDxM-RQZu7GMkkzwe0KwHktm6smSnaG7zjxIIysXDZvWp1UzZ-g7s7ptUoCDDN1SRq297Rz3WPUYe880m9lmVvf1oYz6-84a5kFyH8DRtVDiIaxXdWUfAxNG4xUnMlfi0shpLo2LXOYm-NNyG0DU__Oq7MDPqQfHT-WDoDxTLbEUEksRsdR5AO9WS6Yt8sdVkz8ROVcTCbTbX6hnJ6rTAUob_Ey4s3gWZGWX51bLsijERCRSliKAt8QMilQL3lypuwoJPCKBdKkRxvISA1qZBrA5mIkqoRwO9-ykOpU0VxcCFMDL1TCtpDS7ytYLmoPha5FymQfwqOW-1ZESKvmJRBKAHPDl4MzDker0hwcsz3Bb1PZPrr6tF3BrfLi_p_Z2Dnafwm3u5YawhzdhvZkt7DP0_hrz3Iscg-_XLeP_AGnHba8 |
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=Using+appropriate+pre-pregnancy+body+mass+index+cut+points+for+obesity+in+the+Chinese+population%3A+a+retrospective+cohort+study&rft.jtitle=Reproductive+biology+and+endocrinology&rft.au=Wu%2C+Yanxin&rft.au=Wai-Kit%2C+Ming&rft.au=Wang%2C+Dongyu&rft.au=Chen%2C+Haitian&rft.date=2018-08-10&rft.pub=BioMed+Central&rft.eissn=1477-7827&rft.volume=16&rft_id=info:doi/10.1186%2Fs12958-018-0397-z |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1477-7827&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1477-7827&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1477-7827&client=summon |