15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Gestational weight gain in Chinese women -- results from a retrospective cohort in Changsha, China

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The generalizability of the gestational weight gain (GWG) ranges recommended by the Institute of Medicine (IOM) to Chinese women is disputed.

          Methods

          In 2016, 16,780 pregnant women who gave birth to live singletons in Changsha, China, were enrolled. First, subjects with optimal pregnancy outcomes were identified for the GWG percentile distribution description and for comparison to the IOM recommendations. Second, all subjects with optimal GWG according to the IOM body mass index (BMI) cutoffs and those with optimal GWG according to the Asian BMI cutoffs were selected. Pregnancy outcomes were compared between those two groups.

          Results

          A total of 13,717 births with optimal pregnancy outcomes were selected to describe the GWG distribution. The height and central position of the GWG distributions determined by the Asian BMI cutoffs differed from those determined by the IOM BMI cutoffs among the overweight and obese groups. The recommended IOM GWG ranges were narrower than and shifted to the left of the observed distributions. In both BMI classification schemes, however, the IOM-recommended ranges were within the middle 70% (Pc 15th–85th) and 50% (Pc 25th–75th) of the observed distribution. A total of 6438 (38.37%) and 6110 (36.41%) women gained optimal GWG, according to the IOM and Asian BMI classifications, respectively. Compared with those with optimal GWG according to IOM BMI cutoffs, women with optimal GWG according to the Asian BMI cutoffs had lower risks of both macrosomia (adjusted OR = 0.79, 95%CI: 0.67–0.94) and large-for-gestational age (adjusted OR = 0.86, 95%CI: 0.76, 0.98). However, no significantly different risks of preterm, low birthweight, small-for-gestational age, pregnancy-induced hypertension, or gestational diabetes were found between them.

          Conclusions

          The IOM-recommended GWG ranges are within the middle 70% of the distributions in Chinese women, and pre-pregnancy weight status should be determined by the Asian BMI cut-off points for monitoring and making GWG recommendations to Chinese women.

          Electronic supplementary material

          The online version of this article (10.1186/s12884-018-1833-y) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references21

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Birth Weight Reference Percentiles for Chinese

          Objective To develop a reference of population-based gestational age-specific birth weight percentiles for contemporary Chinese. Methods Birth weight data was collected by the China National Population-based Birth Defects Surveillance System. A total of 1,105,214 live singleton births aged ≥28 weeks of gestation without birth defects during 2006–2010 were included. The lambda-mu-sigma method was utilized to generate percentiles and curves. Results Gestational age-specific birth weight percentiles for male and female infants were constructed separately. Significant differences were observed between the current reference and other references developed for Chinese or non-Chinese infants. Conclusion There have been moderate increases in birth weight percentiles for Chinese infants of both sexes and most gestational ages since 1980s, suggesting the importance of utilizing an updated national reference for both clinical and research purposes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The accuracy of self-reported pregnancy-related weight: a systematic review.

            Self-reported maternal weight is error-prone, and the context of pregnancy may impact error distributions. This systematic review summarizes error in self-reported weight across pregnancy and assesses implications for bias in associations between pregnancy-related weight and birth outcomes. We searched PubMed and Google Scholar through November 2015 for peer-reviewed articles reporting accuracy of self-reported, pregnancy-related weight at four time points: prepregnancy, delivery, over gestation and postpartum. Included studies compared maternal self-report to anthropometric measurement or medical report of weights. Sixty-two studies met inclusion criteria. We extracted data on magnitude of error and misclassification. We assessed impact of reporting error on bias in associations between pregnancy-related weight and birth outcomes. Women underreported prepregnancy (PPW: -2.94 to -0.29 kg) and delivery weight (DW: -1.28 to 0.07 kg), and over-reported gestational weight gain (GWG: 0.33 to 3 kg). Magnitude of error was small, ranged widely, and varied by prepregnancy weight class and race/ethnicity. Misclassification was moderate (PPW: 0-48.3%; DW: 39.0-49.0%; GWG: 16.7-59.1%), and overestimated some estimates of population prevalence. However, reporting error did not largely bias associations between pregnancy-related weight and birth outcomes. Although measured weight is preferable, self-report is a cost-effective and practical measurement approach. Future researchers should develop bias correction techniques for self-reported pregnancy-related weight.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A revised birth weight reference for the United States.

              To generate birth weight curves based on the obstetric estimate of gestational age as specified in the revised 2003 U.S. birth certificate. Using National Center for Health Statistics data from 2011, we constructed birth weight curves for neonates between 24 and 42 weeks of gestation. Curves were developed using the obstetric estimate of gestational age that is included in the revised 2003 U.S. birth certificate, which, when available, incorporates ultrasound dating information. Live-born singleton neonates between 500 and 6,000 g without malformations were included. These curves were compared with curves we generated using 1991 data on which the current national reference of Alexander and colleagues is based, a reference that used only last menstrual period to establish gestational age. The 1991 curves were based on 3,684,778 U.S. live births and the 2011 on 3,252,011 births. Birth weight percentile values were greater from 28 to 36 weeks of gestation in the 1991 data set. That is, the birth weights for preterm neonates were overestimated when 1991 reference curves were used compared with the proposed 2011 reference. For example, in 1991, a birth weight of 2,000 g was at the 50th percentile between 31 and 32 weeks of gestation, whereas in 2011, a birth weight of 2,000 g now corresponds to the 50th percentile between 33 and 34 weeks of gestation. Our revised reference curve for the United States provides an updated national reference for birth weight. : II.
                Bookmark

                Author and article information

                Contributors
                xin.huang@hunnu.edu.cn
                tanhz99@qq.com
                1005546543@qq.com
                kcxh@qq.com
                86-18975186168 , 615871972@qq.com
                86-18975186168 , junlei.xy3yy@hotmail.com
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                29 May 2018
                29 May 2018
                2018
                : 18
                : 185
                Affiliations
                [1 ]ISNI 0000 0001 0089 3695, GRID grid.411427.5, Department of Preventive Medicine, School of Medicine, , Hunan Normal University, ; Changsha, Hunan China
                [2 ]ISNI 0000 0001 0379 7164, GRID grid.216417.7, Department of Epidemiology and Health Statistics, Xiangya School of Public Health, , Central South University, ; Changsha, Hunan China
                [3 ]Maternity and Child Care Hospital of Yuelu District, Changsha, Hunan China
                [4 ]Maternity and Child Care Hospital of Tianxin District, Changsha, Hunan China
                [5 ]GRID grid.431010.7, Department of Obstetrics and Gynecology, , The Third Xiangya Hospital of Central South University, ; 138 Tongzipo Road, Yuelu District, Changsha, 410013 Hunan, Province China
                Author information
                http://orcid.org/0000-0003-3192-9560
                Article
                1833
                10.1186/s12884-018-1833-y
                5975263
                29843642
                1399bb41-6c15-4406-8a93-19e9c3cfcc50
                © The Author(s). 2018

                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.

                History
                : 21 January 2018
                : 17 May 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004735, Natural Science Foundation of Hunan Province;
                Award ID: 2017JJ3215
                Award Recipient :
                Funded by: Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University
                Award ID: GMU-2017-005
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Obstetrics & Gynecology
                body mass index,gestational weight gain,chinese women,pregnancy
                Obstetrics & Gynecology
                body mass index, gestational weight gain, chinese women, pregnancy

                Comments

                Comment on this article