<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2021.118090</article-id><article-id pub-id-type="publisher-id">OJOG-111131</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Updated Gestational Age Specific Birthweight Reference of Hong Kong Chinese Newborns and Comparison with Local and International Growth Charts
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Irene</surname><given-names>W. Y. Lok</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Meliza</surname><given-names>C. W. Kong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>William</surname><given-names>W. K. To</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Obstetrics &amp;amp; Gynaecology, United Christian Hospital, Hong Kong, China</addr-line></aff><pub-date pub-type="epub"><day>30</day><month>07</month><year>2021</year></pub-date><volume>11</volume><issue>08</issue><fpage>940</fpage><lpage>954</lpage><history><date date-type="received"><day>14,</day>	<month>July</month>	<year>2021</year></date><date date-type="rev-recd"><day>3,</day>	<month>August</month>	<year>2021</year>	</date><date date-type="accepted"><day>6,</day>	<month>August</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background:
   Different gestational age specific birthweight reference charts have been produced for different populations and ethnic groups over different time periods, mostly based on birthweight data. This study aims to update birthweight references for Hong Kong (HK) Chinese newborns to provide norms for identification of small and large for gestational age (SGA and LGA) fetuses, and to verify whether there are significant differences compared to previously published local reference charts, as well as to other southern Chinese and international data. <b>Methods:</b> All singleton Chinese livebirths delivered in United Christian Hospital from 2012 to 2017 were retrospectively included. The smoothed birthweight centiles at each gestation were computed. The birthweight centiles were then compared with other reference charts.
   
  <b>Results:</b>
   A total of 25,508 livebirths between 24 and 42 completed weeks of gestation were enrolled in the final analysis. The mean birthweights of our cohort were largely similar to previous studies at each gestation, but the 10th and 90th centile ranges differed significantly, so that the proportion of babies that would be classified as SGA or LGA varied widely using cut-offs from different studies. 
  Older local studies tend to under-estimate, while the international growth charts would over-estimate the proportion of SGA babies. <b>Conclusions:</b> Updating fetal growth curve references based on local data is essential to establish more precise definitions of SGA and LGA babies in clinical management. The use of international growth charts in our population may not be appropriate and requires further validation.
 
</p></abstract><kwd-group><kwd>Birthweight</kwd><kwd> Intrauterine Growth</kwd><kwd> Percentile</kwd><kwd> Hong Kong</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Birthweight is an important marker to reflect the intrauterine growth environment of neonates as well as a critical determining factor of perinatal morbidity and mortality, and has implications for both short as well as long term outcome of these babies. While the direct associations between absolute birthweight and perinatal well-being are obvious [<xref ref-type="bibr" rid="scirp.111131-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref2">2</xref>] , it is of predominate importance to classify birthweight in accordance with gestation to identify small or large for gestational age infants. Small for gestational age (SGA) infants are likely to be growth restricted and have an increased risk of perinatal complications such as transient tachypnoea of the newborn, hypothermia, symptomatic hypoglycaemia and other perinatal morbidities [<xref ref-type="bibr" rid="scirp.111131-ref3">3</xref>] . Large for gestational age (LGA) infants are more prone to birth trauma, perinatal asphyxia, shoulder dystocia, and even perinatal death [<xref ref-type="bibr" rid="scirp.111131-ref4">4</xref>] , with the incidence of adverse outcomes rising sharply with increasing birthweight over 4000 g [<xref ref-type="bibr" rid="scirp.111131-ref5">5</xref>] .</p><p>The classification into appropriate for gestational age, LGA or SGA, has traditionally been defined using centile charts of birthweight at different gestational ages. Intrauterine growth percentiles representing Caucasian infants were used all over the world since it was developed by Lubchenco et al. in 1963 [<xref ref-type="bibr" rid="scirp.111131-ref6">6</xref>] . Fetal growth was known to vary with ethnicity, and ethnicity specific birthweight distributions were shown to predict neonatal morbidity better than the population-based birthweight [<xref ref-type="bibr" rid="scirp.111131-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref9">9</xref>] . Different countries such as the United Kingdom [<xref ref-type="bibr" rid="scirp.111131-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref12">12</xref>] , the United States [<xref ref-type="bibr" rid="scirp.111131-ref13">13</xref>] , Europe [<xref ref-type="bibr" rid="scirp.111131-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref15">15</xref>] , or Asia [<xref ref-type="bibr" rid="scirp.111131-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref17">17</xref>] had previously published their specific birthweight standards. Wen et al. reported that the mean birthweight was lower in Chinese infants compared with Caucasian infants [<xref ref-type="bibr" rid="scirp.111131-ref18">18</xref>] and national birthweight reference percentiles for Chinese have also been published recently [<xref ref-type="bibr" rid="scirp.111131-ref19">19</xref>] . Moreover, different parts of China [<xref ref-type="bibr" rid="scirp.111131-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref21">21</xref>] as well as Taiwan [<xref ref-type="bibr" rid="scirp.111131-ref22">22</xref>] , all being ethnically Chinese, have their own birthweight references. Local birthweight reference in Hong Kong Chinese published in literature could be dated back as early to 1970s [<xref ref-type="bibr" rid="scirp.111131-ref23">23</xref>] . Since then, review and comparison of birthweight were made in 1980s by different authors [<xref ref-type="bibr" rid="scirp.111131-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] . One such study compared the gestational age specific birthweight of Hong Kong Chinese in a cohort from 1998 to 2001 to his previous 1982-1986 cohort and was able to demonstrate a significant trend of increasing birthweight [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] , indicating the need to update such birthweight charts from time to time to cater for possible secular changes. In this study, we aim to construct an updated gestational age specific birthweight reference of Hong Kong Chinese newborns using data within the past 10 years, and to compare it with the previous published local studies in the past five decades, with recent studies conducted in southern China [<xref ref-type="bibr" rid="scirp.111131-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref20">20</xref>] and Taiwan [<xref ref-type="bibr" rid="scirp.111131-ref22">22</xref>] , as well as with current prospective ultrasound derived growth references from international studies [<xref ref-type="bibr" rid="scirp.111131-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref29">29</xref>] . The primary purpose is to provide updated norms for identification of small and large for gestational age fetuses for obstetric management.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>Delivery data in United Christian Hospital (UCH) from the calendar years of 2012 to 2017 were retrospectively extracted from the hospital electronic obstetrics clinical information system database. UCH is a regional tertiary referral obstetric centre, serving the Kowloon East district of Hong Kong, with an annual delivery rate of around 4200 to 5000 over the study period. All singleton livebirths of gestation &gt; 24 completed weeks and ≤42 completed weeks who were of Chinese origin were included in the analysis. Multiple pregnancies, stillbirths, non-Chinese ethnicity and neonates with major congenital malformations or chromosomal abnormalities were excluded. Neonates born from mothers with medical conditions or common pregnancy complications such as hypertensive disorders or gestational diabetes mellitus were not excluded, in order to construct an intrauterine growth reference that would comprehensively include various confounding factors that would affect fetal growth. Babies were weighted naked immediately after birth by labour ward midwifes using electronic scales (SECA) to the nearest gram. Gestational age in completed weeks of pregnancy was determined based on the best obstetrical estimate, calculated from the last menstrual period and matched with first trimester dating ultrasound during Down syndrome screening in the majority of cases.</p><p>The study was approved by the local Research Ethics Review Board from the Kowloon East Cluster. The Statistical Package for Social Sciences (SPSS) for Windows 23 package was used for data entry and analysis. The 3rd, 5th, 10th, median, 90th, 95th and 97th centiles of birthweight at each gestation were computed for all included neonates. The birthweight data from both sexes were combined in this study. Similar centile charts were derived from previously published Hong Kong data based on retrospective birthweight data [<xref ref-type="bibr" rid="scirp.111131-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] , as well from three other large population studies published within the past 2 decades [<xref ref-type="bibr" rid="scirp.111131-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref22">22</xref>] . The current cohort was further compared with two international fetal growth charts based on prospective ultrasonographic estimations of fetal growth and weight namely the INTERGROWTH-21 [<xref ref-type="bibr" rid="scirp.111131-ref28">28</xref>] and World health Organization chart [<xref ref-type="bibr" rid="scirp.111131-ref29">29</xref>] . Birthweights &lt; 10th centile for its gestational age were classified as SGA, and those &gt; 90th centile for its gestational age as LGA. The mean birthweights of the different local studies at various gestations were compared using ANOVA with post hoc t-tests. The birthweight data in present cohort was then reclassified as SGA and LGA according to the birthweight centiles in the other studies as mentioned. The percentage of pregnancies in our study classified as SGA and LGA using birthweight centiles of different studies were then compared.</p></sec><sec id="s3"><title>3. Results</title><p>The birthweight data of a total of 25,508 singleton livebirths delivered in the UCH between 24 completed weeks and 42 completed weeks of gestation within the 6-year study period from 2012 to 2017 were used to construct the gestational age specific smoothed birthweight centiles. Over 96% of pregnancies included in the analysis had early ultrasound for dating during early gestation or at Down syndrome screening, while the rest had morphology scans or indicated scans within the second trimester to confirm their dates. As the sample size of livebirths delivered at or before 24 weeks was too small for reliable estimation of weight centiles, these were not included for the final analysis. Due to our routine protocol for inducing post-term pregnancies from 42 completed weeks, all were delivered before 42 completed weeks. <xref ref-type="table" rid="table1">Table 1</xref> showed the median birthweight and smoothed centiles from 24 to 42 completed gestational weeks. Birthweight distribution within all gestational weeks followed a largely normal distribution. The mean birthweights across each gestational week were significantly different between the current cohort and the different Hong Kong studies (ANOVA p&lt; 0.001). Post-hoc comparison of the current cohort at different gestations with the 5 local individual datasets showed statistically significant differences across almost all gestations. In particular, there were significant differences with all the studies between term gestations of 37 - 41 weeks except the Rogers study (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>The median birthweight and the 10th and 90th centile range at each gestational week amongst the different datasets also differed significantly between the</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Median birthweight and smoothed centiles at various gestations in UCH cohort</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Gestational weeks</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >3<sup>rd</sup> Centile</th><th align="center" valign="middle" >5<sup>th</sup> centile</th><th align="center" valign="middle" >10<sup>th</sup> centile</th><th align="center" valign="middle" >Median</th><th align="center" valign="middle" >90<sup>th</sup> Centile</th><th align="center" valign="middle" >95<sup>th</sup> centile</th><th align="center" valign="middle" >97<sup>th</sup> centile</th></tr></thead><tr><td align="center" valign="middle" >25</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >650</td><td align="center" valign="middle" >765</td><td align="center" valign="middle" >867</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >26</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >615</td><td align="center" valign="middle" >720</td><td align="center" valign="middle" >730</td><td align="center" valign="middle" >924</td><td align="center" valign="middle" >995</td><td align="center" valign="middle" >1020</td><td align="center" valign="middle" >1100</td></tr><tr><td align="center" valign="middle" >27</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >865</td><td align="center" valign="middle" >870</td><td align="center" valign="middle" >1005</td><td align="center" valign="middle" >1180</td><td align="center" valign="middle" >1200</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >28</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >815</td><td align="center" valign="middle" >830</td><td align="center" valign="middle" >1153</td><td align="center" valign="middle" >1320</td><td align="center" valign="middle" >1335</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >29</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >855</td><td align="center" valign="middle" >960</td><td align="center" valign="middle" >1240</td><td align="center" valign="middle" >1580</td><td align="center" valign="middle" >1665</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >844</td><td align="center" valign="middle" >948</td><td align="center" valign="middle" >1015</td><td align="center" valign="middle" >1400</td><td align="center" valign="middle" >1625</td><td align="center" valign="middle" >1644</td><td align="center" valign="middle" >1715</td></tr><tr><td align="center" valign="middle" >31</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >990</td><td align="center" valign="middle" >1065</td><td align="center" valign="middle" >1140</td><td align="center" valign="middle" >1598</td><td align="center" valign="middle" >1790</td><td align="center" valign="middle" >1842</td><td align="center" valign="middle" >1905</td></tr><tr><td align="center" valign="middle" >32</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >1100</td><td align="center" valign="middle" >1152</td><td align="center" valign="middle" >1250</td><td align="center" valign="middle" >1769</td><td align="center" valign="middle" >2125</td><td align="center" valign="middle" >2200</td><td align="center" valign="middle" >2245</td></tr><tr><td align="center" valign="middle" >33</td><td align="center" valign="middle" >126</td><td align="center" valign="middle" >1271</td><td align="center" valign="middle" >1310</td><td align="center" valign="middle" >1570</td><td align="center" valign="middle" >2026</td><td align="center" valign="middle" >2470</td><td align="center" valign="middle" >2522</td><td align="center" valign="middle" >2542</td></tr><tr><td align="center" valign="middle" >34</td><td align="center" valign="middle" >156</td><td align="center" valign="middle" >1430</td><td align="center" valign="middle" >1520</td><td align="center" valign="middle" >1650</td><td align="center" valign="middle" >2205</td><td align="center" valign="middle" >2570</td><td align="center" valign="middle" >2715</td><td align="center" valign="middle" >2765</td></tr><tr><td align="center" valign="middle" >35</td><td align="center" valign="middle" >323</td><td align="center" valign="middle" >1715</td><td align="center" valign="middle" >1790</td><td align="center" valign="middle" >1910</td><td align="center" valign="middle" >2430</td><td align="center" valign="middle" >2775</td><td align="center" valign="middle" >2875</td><td align="center" valign="middle" >2925</td></tr><tr><td align="center" valign="middle" >36</td><td align="center" valign="middle" >606</td><td align="center" valign="middle" >1895</td><td align="center" valign="middle" >2030</td><td align="center" valign="middle" >2202</td><td align="center" valign="middle" >2660</td><td align="center" valign="middle" >3125</td><td align="center" valign="middle" >3315</td><td align="center" valign="middle" >3456</td></tr><tr><td align="center" valign="middle" >37</td><td align="center" valign="middle" >1615</td><td align="center" valign="middle" >2145</td><td align="center" valign="middle" >2220</td><td align="center" valign="middle" >2370</td><td align="center" valign="middle" >2847</td><td align="center" valign="middle" >3315</td><td align="center" valign="middle" >3495</td><td align="center" valign="middle" >3592</td></tr><tr><td align="center" valign="middle" >38</td><td align="center" valign="middle" >6514</td><td align="center" valign="middle" >2440</td><td align="center" valign="middle" >2525</td><td align="center" valign="middle" >2643</td><td align="center" valign="middle" >3080</td><td align="center" valign="middle" >3570</td><td align="center" valign="middle" >37183</td><td align="center" valign="middle" >3815</td></tr><tr><td align="center" valign="middle" >39</td><td align="center" valign="middle" >7105</td><td align="center" valign="middle" >2590</td><td align="center" valign="middle" >2665</td><td align="center" valign="middle" >2775</td><td align="center" valign="middle" >3195</td><td align="center" valign="middle" >3665</td><td align="center" valign="middle" >3810</td><td align="center" valign="middle" >3910</td></tr><tr><td align="center" valign="middle" >40</td><td align="center" valign="middle" >5888</td><td align="center" valign="middle" >2685</td><td align="center" valign="middle" >2765</td><td align="center" valign="middle" >2880</td><td align="center" valign="middle" >3315</td><td align="center" valign="middle" >3810</td><td align="center" valign="middle" >3961</td><td align="center" valign="middle" >4070</td></tr><tr><td align="center" valign="middle" >41</td><td align="center" valign="middle" >2573</td><td align="center" valign="middle" >2760</td><td align="center" valign="middle" >2832</td><td align="center" valign="middle" >2970</td><td align="center" valign="middle" >3415</td><td align="center" valign="middle" >3920</td><td align="center" valign="middle" >4088</td><td align="center" valign="middle" >4230</td></tr><tr><td align="center" valign="middle" >42</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2750</td><td align="center" valign="middle" >2760</td><td align="center" valign="middle" >3538</td><td align="center" valign="middle" >3805</td><td align="center" valign="middle" >3820</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of mean birthweight at various gestations for different Hong Kong studies</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Gestational weeks</th><th align="center" valign="middle" >UCH</th><th align="center" valign="middle" >Ip</th><th align="center" valign="middle" >Woo</th><th align="center" valign="middle" >Rogers</th><th align="center" valign="middle" >Fok 1987</th><th align="center" valign="middle" >Fok 2003<sup>#</sup></th><th align="center" valign="middle" >ANOVA p-value</th></tr></thead><tr><td align="center" valign="middle" >25</td><td align="center" valign="middle" >N = 14 768 (80)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N = 32 780 (125)</td><td align="center" valign="middle" >0.68</td></tr><tr><td align="center" valign="middle" >26</td><td align="center" valign="middle" >N = 28 903 (105)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N = 23 840 (97)</td><td align="center" valign="middle" >0.027</td></tr><tr><td align="center" valign="middle" >27</td><td align="center" valign="middle" >N = 18 1037 (139)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N = 20 965 (148)</td><td align="center" valign="middle" >N = 37 1020 (180)</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >28</td><td align="center" valign="middle" >N = 18 1127 (196)</td><td align="center" valign="middle" >N = 13 1681 (640)*<sup> </sup></td><td align="center" valign="middle" >N = 23 1106 (186)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N = 30 1095 (157)</td><td align="center" valign="middle" >N = 46 1130 (170)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >29</td><td align="center" valign="middle" >N = 23 1270 (231)</td><td align="center" valign="middle" >N = 25 1530 (563)<sup>a</sup></td><td align="center" valign="middle" >N = 21 1253 (195)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N = 45 1239 (210)</td><td align="center" valign="middle" >N = 62 1260 (178)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >N = 40 1364 (238)</td><td align="center" valign="middle" >N = 43 1938 (708)*</td><td align="center" valign="middle" >N = 38 1418 (242)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N = 41 1405 (197)</td><td align="center" valign="middle" >N = 55 1470 (249)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >31</td><td align="center" valign="middle" >N = 62 1554 (240)</td><td align="center" valign="middle" >N = 41 2170 (747)*</td><td align="center" valign="middle" >N = 37 1607 (274)</td><td align="center" valign="middle" >N = 20 2409 (631)*</td><td align="center" valign="middle" >N = 52 1598 (208)</td><td align="center" valign="middle" >N = 66 1560 (280)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >32</td><td align="center" valign="middle" >N = 75 1719 (319)</td><td align="center" valign="middle" >N = 75 2285 (624)*</td><td align="center" valign="middle" >N = 76 1810 (240)</td><td align="center" valign="middle" >N = 30 2322 (817)*</td><td align="center" valign="middle" >N = 88 1798 (196)</td><td align="center" valign="middle" >N = 81 1800 (384)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >33</td><td align="center" valign="middle" >N = 126 2017 (331)</td><td align="center" valign="middle" >N = 100 2406 (596)*</td><td align="center" valign="middle" >N = 81 1964 (253)</td><td align="center" valign="middle" >N = 33 2365 (541)*</td><td align="center" valign="middle" >N = 97 1975 (217)</td><td align="center" valign="middle" >N = 154 1930 (354)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >34</td><td align="center" valign="middle" >N = 156 2162 (358)</td><td align="center" valign="middle" >N = 168 2570 (510)*</td><td align="center" valign="middle" >N = 141 2145 (321)</td><td align="center" valign="middle" >N = 49 2386 (571)<sup>b </sup></td><td align="center" valign="middle" >N = 125 2128 (247)</td><td align="center" valign="middle" >N = 211 2224 (360)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >35</td><td align="center" valign="middle" >N = 323 2396 (329)</td><td align="center" valign="middle" >N = 290 2714 (534)*</td><td align="center" valign="middle" >N = 131 2429 (355)</td><td align="center" valign="middle" >N = 88 2652 (425)*</td><td align="center" valign="middle" >N = 154 2368 (294)</td><td align="center" valign="middle" >N = 281 2330 (435)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >36</td><td align="center" valign="middle" >N = 606 2661 (377)</td><td align="center" valign="middle" >N = 530 2825 (490)*</td><td align="center" valign="middle" >N = 321 2671 (404)</td><td align="center" valign="middle" >N = 219 2852 (480)*</td><td align="center" valign="middle" >N = 174 2620 (350)</td><td align="center" valign="middle" >N = 486 2770 (405)<sup>c </sup></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >37</td><td align="center" valign="middle" >N = 1915 2854 (375)</td><td align="center" valign="middle" >N = 914 2889 (417)</td><td align="center" valign="middle" >N = 766 2918 (397)*</td><td align="center" valign="middle" >N = 496 2985 (423)*</td><td align="center" valign="middle" >N = 416 2830 (376)</td><td align="center" valign="middle" >N = 783 2990 (409)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >38</td><td align="center" valign="middle" >N = 6514 3096 (367)</td><td align="center" valign="middle" >N = 2114 2954 (398)*</td><td align="center" valign="middle" >N = 2208 3030 (382)*</td><td align="center" valign="middle" >N = 1155 3114 (381)</td><td align="center" valign="middle" >N = 938 3025 (342)*</td><td align="center" valign="middle" >N = 1926 3110 (387)*</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >39</td><td align="center" valign="middle" >N = 7105 3213 (352)</td><td align="center" valign="middle" >N = 3658 3048 (376)*</td><td align="center" valign="middle" >N = 3730 3157 (362)*</td><td align="center" valign="middle" >N = 2020 3202 (391)</td><td align="center" valign="middle" >N = 1926 3112 (315)*</td><td align="center" valign="middle" >N = 2522 3245 (375)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >40</td><td align="center" valign="middle" >N = 5888 3332 (368))</td><td align="center" valign="middle" >N = 3969 3130 (385)*</td><td align="center" valign="middle" >N = 5004 3237 (366)*</td><td align="center" valign="middle" >N = 2311 3305 (383)</td><td align="center" valign="middle" >N = 2145 3192 (322)*</td><td align="center" valign="middle" >N = 2277 3347 (390)*</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >41</td><td align="center" valign="middle" >N = 2573 3436 (384)</td><td align="center" valign="middle" >N = 2572 3169 (393)*</td><td align="center" valign="middle" >N = 2145 3316 (385)*</td><td align="center" valign="middle" >N = 1536 3381 (396)*</td><td align="center" valign="middle" >N = 1442 3227 (331)*</td><td align="center" valign="middle" >N = 1049 3430 (404)*</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >42</td><td align="center" valign="middle" >N = 24 3394 (428)</td><td align="center" valign="middle" >N = 1329 3197 (405)</td><td align="center" valign="middle" >N = 1093 3334 (386)</td><td align="center" valign="middle" >N = 801 3401 (419)*</td><td align="center" valign="middle" >N = 752 3265 (341)</td><td align="center" valign="middle" >N = 207 3475 (415)</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap><p>*p-value by post-hoc t test: *≤0.001 (shaded boxes); a = 0.02; b = 0.007; c = 0.01; <sup>#</sup>mean birthweight values and standard deviations induced from summation of male/female newborns from primiparous and multiparous births in the original study.</p><p>different studies (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Very wide inter-centile ranges between the 10<sup>th</sup> and 90<sup>th</sup> centile could be seen in the Ip [<xref ref-type="bibr" rid="scirp.111131-ref23">23</xref>] and Rogers [<xref ref-type="bibr" rid="scirp.111131-ref25">25</xref>] studies, the former being data collected in the early seventies when ultrasound for dating was not yet</p><p>available and date discrepancies would be common, while the latter study had the smallest sample size at each gestational week and thus the widest fluctuations.</p><p>A comparison of the centile ranges of the different Chinese studies, including the Guangzhou study [<xref ref-type="bibr" rid="scirp.111131-ref20">20</xref>] , the Taiwan national study [<xref ref-type="bibr" rid="scirp.111131-ref22">22</xref>] and the Chinese national study [<xref ref-type="bibr" rid="scirp.111131-ref19">19</xref>] , as well as the international INTERGROWTH-21 [<xref ref-type="bibr" rid="scirp.111131-ref28">28</xref>] and WHO [<xref ref-type="bibr" rid="scirp.111131-ref29">29</xref>] fetal growth reference data also showed that these differ widely across different gestations (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Using the pre-set definition of &lt;10th centile as SGA and &gt;90th centile as LGA, when the birthweights between 32 - 42 weeks gestation in the UCH cohort were re-categorized using the cut-off criteria of each of the other datasets, the proportion of cases that would be classified as SGA or LGA varied widely from the standard value of 10% across different gestations. The gestational range of 32 - 42 weeks was selected as many datasets did not have sufficient data for earlier gestations. The Fok 2003 study [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] only provided cut-offs for the 3<sup>rd</sup> and 97<sup>th</sup> centile so the expected proportion for SGA or LGA would be 3%. It could be seen that the proportion of babies that would be categorized as SGA or LGA also varied widely across different gestations according to the reference centiles of the different studies (<xref ref-type="table" rid="table3">Table 3</xref>). Comparing the Hong Kong studies, it could be seen that the Ip [<xref ref-type="bibr" rid="scirp.111131-ref23">23</xref>] and Woo [<xref ref-type="bibr" rid="scirp.111131-ref24">24</xref>] centiles would grossly under-estimate the SGA proportion as 3.3% and 6%, and over-estimate the LGA proportion as 16.8% and 13.6% respectively, while the Fok 1987 [<xref ref-type="bibr" rid="scirp.111131-ref26">26</xref>] centiles</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Percentage of births classified as small, appropriate or large for gestational age (SGA, AGA or LGA) according to the various charts for various gestations from 32 - 42 weeks and for all births</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Weeks</th><th align="center" valign="middle"  colspan="2"  >Ip</th><th align="center" valign="middle"  colspan="2"  >Woo</th><th align="center" valign="middle"  colspan="2"  >Rogers</th><th align="center" valign="middle"  colspan="2"  >Fok 1987</th><th align="center" valign="middle"  colspan="2"  >Fok 2003*</th><th align="center" valign="middle"  colspan="2"  >Guongzhou</th><th align="center" valign="middle"  colspan="2"  >Hsieh</th><th align="center" valign="middle"  colspan="2"  >Dai</th><th align="center" valign="middle"  colspan="2"  >WHO</th><th align="center" valign="middle"  colspan="2"  >Intergrowth-21</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td><td align="center" valign="middle" >SGA</td><td align="center" valign="middle" >LGA</td></tr><tr><td align="center" valign="middle" >32</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >6.7</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >21.3</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >9.3</td><td align="center" valign="middle" >21.3</td><td align="center" valign="middle" >5.3</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >33.3</td><td align="center" valign="middle" >6.7</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >12</td></tr><tr><td align="center" valign="middle" >33</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >13.5</td><td align="center" valign="middle" >10.3</td><td align="center" valign="middle" >29.4</td><td align="center" valign="middle" >14.6</td><td align="center" valign="middle" >5.55</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >10.3</td><td align="center" valign="middle" >13.5</td><td align="center" valign="middle" >24.6</td><td align="center" valign="middle" >10.3</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >7.14</td><td align="center" valign="middle" >15.8</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >12.7</td><td align="center" valign="middle" >17.4</td></tr><tr><td align="center" valign="middle" >34</td><td align="center" valign="middle" >21.2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >6.4</td><td align="center" valign="middle" >17.3</td><td align="center" valign="middle" >18.6</td><td align="center" valign="middle" >3.2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >14.7</td><td align="center" valign="middle" >6.4</td><td align="center" valign="middle" >18.6</td><td align="center" valign="middle" >5.76</td><td align="center" valign="middle" >21.1</td><td align="center" valign="middle" >4.48</td><td align="center" valign="middle" >21.8</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >26.3</td><td align="center" valign="middle" >6.41</td><td align="center" valign="middle" >16.7</td><td align="center" valign="middle" >9.6</td></tr><tr><td align="center" valign="middle" >35</td><td align="center" valign="middle" >11.5</td><td align="center" valign="middle" >9.3</td><td align="center" valign="middle" >14.5</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >13.7</td><td align="center" valign="middle" >1.54</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >10.2</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" >16.7</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >16.7</td><td align="center" valign="middle" >1.54</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >24.7</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >11.7</td><td align="center" valign="middle" >7.43</td></tr><tr><td align="center" valign="middle" >36</td><td align="center" valign="middle" >7.3</td><td align="center" valign="middle" >9.4</td><td align="center" valign="middle" >9.2</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >12.7</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" >1.48</td><td align="center" valign="middle" >6.76</td><td align="center" valign="middle" >6.6</td><td align="center" valign="middle" >15.6</td><td align="center" valign="middle" >4.12</td><td align="center" valign="middle" >12.3</td><td align="center" valign="middle" >8.41</td><td align="center" valign="middle" >15.5</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >9.4</td><td align="center" valign="middle" >8.25</td><td align="center" valign="middle" >12</td></tr><tr><td align="center" valign="middle" >37</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" >9.2</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >11.5</td><td align="center" valign="middle" >4.85</td><td align="center" valign="middle" >1.40</td><td align="center" valign="middle" >6.0</td><td align="center" valign="middle" >6.6</td><td align="center" valign="middle" >17.5</td><td align="center" valign="middle" >5.53</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >8.1</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" >3.7</td><td align="center" valign="middle" >18.8</td><td align="center" valign="middle" >7.41</td><td align="center" valign="middle" >8.04</td><td align="center" valign="middle" >9.86</td></tr><tr><td align="center" valign="middle" >38</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >15.3</td><td align="center" valign="middle" >4.7</td><td align="center" valign="middle" >15.5</td><td align="center" valign="middle" >10.5</td><td align="center" valign="middle" >11.6</td><td align="center" valign="middle" >1.75</td><td align="center" valign="middle" >2.18</td><td align="center" valign="middle" >2.38</td><td align="center" valign="middle" >9.62</td><td align="center" valign="middle" >11.5</td><td align="center" valign="middle" >8.78</td><td align="center" valign="middle" >8.33</td><td align="center" valign="middle" >8.26</td><td align="center" valign="middle" >13.3</td><td align="center" valign="middle" >5.84</td><td align="center" valign="middle" >14.6</td><td align="center" valign="middle" >7.29</td><td align="center" valign="middle" >4.26</td><td align="center" valign="middle" >11.5</td></tr><tr><td align="center" valign="middle" >39</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >16.9</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >12.6</td><td align="center" valign="middle" >8.6</td><td align="center" valign="middle" >9.9</td><td align="center" valign="middle" >1.40</td><td align="center" valign="middle" >1.92</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >8.9</td><td align="center" valign="middle" >9.86</td><td align="center" valign="middle" >8.89</td><td align="center" valign="middle" >9.15</td><td align="center" valign="middle" >8.5</td><td align="center" valign="middle" >12.3</td><td align="center" valign="middle" >6.33</td><td align="center" valign="middle" >19.1</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >7.79</td></tr><tr><td align="center" valign="middle" >40</td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >20.1</td><td align="center" valign="middle" >5.7</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" >6.4</td><td align="center" valign="middle" >8.3</td><td align="center" valign="middle" >1.32</td><td align="center" valign="middle" >2.46</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >13.2</td><td align="center" valign="middle" >8.32</td><td align="center" valign="middle" >10.8</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9.29</td><td align="center" valign="middle" >9.76</td><td align="center" valign="middle" >5.26</td><td align="center" valign="middle" >25.4</td><td align="center" valign="middle" >2.37</td><td align="center" valign="middle" >6.56</td><td align="center" valign="middle" >7.57</td></tr><tr><td align="center" valign="middle" >41</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >25.1</td><td align="center" valign="middle" >6.5</td><td align="center" valign="middle" >15.2</td><td align="center" valign="middle" >7.1</td><td align="center" valign="middle" >6.2</td><td align="center" valign="middle" >10.8</td><td align="center" valign="middle" >12.9</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >17.5</td><td align="center" valign="middle" >6.18</td><td align="center" valign="middle" >12.4</td><td align="center" valign="middle" >8.23</td><td align="center" valign="middle" >12.9</td><td align="center" valign="middle" >7.11</td><td align="center" valign="middle" >13.4</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >42</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >29.2</td><td align="center" valign="middle" >20.8</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >20.8</td><td align="center" valign="middle" >12.5</td><td align="center" valign="middle" >4.16</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >12.5</td><td align="center" valign="middle" >12.2</td><td align="center" valign="middle" >4.1</td><td align="center" valign="middle" >20.8</td><td align="center" valign="middle" >4.1</td><td align="center" valign="middle" >20.8</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Overall</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >16.8</td><td align="center" valign="middle" >6.0</td><td align="center" valign="middle" >13.6</td><td align="center" valign="middle" >9.7</td><td align="center" valign="middle" >10.6</td><td align="center" valign="middle" >1.83</td><td align="center" valign="middle" >2.26</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >10.6</td><td align="center" valign="middle" >10.5</td><td align="center" valign="middle" >9.16</td><td align="center" valign="middle" >9.36</td><td align="center" valign="middle" >8.91</td><td align="center" valign="middle" >12.2</td><td align="center" valign="middle" >6.20</td><td align="center" valign="middle" >19.7</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >5.86</td><td align="center" valign="middle" >9.23</td></tr></tbody></table></table-wrap><p>Fok 2003 study only provided cut-offs for the 3<sup>rd</sup> and 97<sup>th</sup> centile, the expected proportion for SGA or LGA would be 3%; while for the other studies, the expected proportion for SGA or LGA would be 10%. Overall cut-offs approximating the expected proportions are shaded.</p><p>would underestimate the of SGA proportion as 2.7% while giving the same LGA proportion as 10.6%. Similarly, the Fok 2003 [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] 3rd and 97th centile cut-offs would underestimate the SGA proportion as 1.8% and the LGA proportion as 2.2% Only the Rogers study [<xref ref-type="bibr" rid="scirp.111131-ref25">25</xref>] centiles appeared applicable to our cohort, with around 9.7% and 10.6% being classified as SGA or LGA respectively. On the other hand, considering all gestations together, the Guangzhou study [<xref ref-type="bibr" rid="scirp.111131-ref20">20</xref>] and the Taiwan study [<xref ref-type="bibr" rid="scirp.111131-ref22">22</xref>] centiles apparently most closely resembled our own centiles. The two studies would classify around 10.5% and 9.36% of our cohort as SGA, and 9.16% and 8.91% as LGA respectively. Looking specifically at the term gestations of 38 - 42 weeks, the percentages that would be labelled as SGA and LGA continued to be reasonably close to the defined 10%. On the contrary, both the INTERGROWTH-21 [<xref ref-type="bibr" rid="scirp.111131-ref28">28</xref>] and WHO [<xref ref-type="bibr" rid="scirp.111131-ref29">29</xref>] reference centiles did not apply well to our data, with the INTERGORWTH-21 under-estimating SGA as 5.86% while giving a reasonable LGA rate of 9.23%, while the WHO cut-offs grossly over-labelled 19.7% as SGA but under-diagnosed LGA as only 4.8%.</p></sec><sec id="s4"><title>4. Discussion</title><p>The characteristics of our study and its comparison with the previous studies of gestational age specific birthweight conducted in Hong Kong, the other Chinese studies and the international fetal growth references are summarized in <xref ref-type="table" rid="table4">Table 4</xref>. Among the different datasets, the Guangzhou [<xref ref-type="bibr" rid="scirp.111131-ref20">20</xref>] and the Taiwan [<xref ref-type="bibr" rid="scirp.111131-ref22">22</xref>] centiles apparently gave the best resemblance compared to our data.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Comparison of the characteristics of the different studies</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Author</th><th align="center" valign="middle" >Year published</th><th align="center" valign="middle" >Data years</th><th align="center" valign="middle" >Study population</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Available Gestation</th><th align="center" valign="middle" >Available Cut-off centiles</th></tr></thead><tr><td align="center" valign="middle"  colspan="7"  >Retrospective birthweight data</td></tr><tr><td align="center" valign="middle" >Ip</td><td align="center" valign="middle" >1978</td><td align="center" valign="middle" >1970-1972</td><td align="center" valign="middle" >HK Chinese</td><td align="center" valign="middle" >16,836</td><td align="center" valign="middle" >28 - 44</td><td align="center" valign="middle" >10 - 90</td></tr><tr><td align="center" valign="middle" >Woo</td><td align="center" valign="middle" >1986</td><td align="center" valign="middle" >1982-1984</td><td align="center" valign="middle" >HK Chinese</td><td align="center" valign="middle" >15,815</td><td align="center" valign="middle" >28 - 42</td><td align="center" valign="middle" >10 - 90</td></tr><tr><td align="center" valign="middle" >Rogers</td><td align="center" valign="middle" >1987</td><td align="center" valign="middle" >1984-1986</td><td align="center" valign="middle" >HK Chinese</td><td align="center" valign="middle" >8802</td><td align="center" valign="middle" >24 - 42</td><td align="center" valign="middle" >5 - 95</td></tr><tr><td align="center" valign="middle" >Fok</td><td align="center" valign="middle" >1987</td><td align="center" valign="middle" >1982-1986</td><td align="center" valign="middle" >HK Chinese</td><td align="center" valign="middle" >8445</td><td align="center" valign="middle" >27 - 42</td><td align="center" valign="middle" >10 - 90</td></tr><tr><td align="center" valign="middle" >Fok</td><td align="center" valign="middle" >2003</td><td align="center" valign="middle" >1998-2001</td><td align="center" valign="middle" >HK Chinese</td><td align="center" valign="middle" >10,339</td><td align="center" valign="middle" >24 - 42</td><td align="center" valign="middle" >3 - 97</td></tr><tr><td align="center" valign="middle" >Guangzhou</td><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >2007-2011</td><td align="center" valign="middle" >Guangzhou Chinese</td><td align="center" valign="middle" >514,375</td><td align="center" valign="middle" >26 - 43</td><td align="center" valign="middle" >3 - 97</td></tr><tr><td align="center" valign="middle" >Hsieh</td><td align="center" valign="middle" >2006</td><td align="center" valign="middle" >1998-2002</td><td align="center" valign="middle" >Taiwan Chinese</td><td align="center" valign="middle" >1.29M</td><td align="center" valign="middle" >22 - 44</td><td align="center" valign="middle" >5 - 95</td></tr><tr><td align="center" valign="middle" >Dai</td><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >2006-2010</td><td align="center" valign="middle" >Mainland Chinese</td><td align="center" valign="middle" >1.1 M</td><td align="center" valign="middle" >28 - 44</td><td align="center" valign="middle" >3 - 97</td></tr><tr><td align="center" valign="middle"  colspan="7"  >Prospective USG estimated data</td></tr><tr><td align="center" valign="middle" >Intergrowth-21</td><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >2009-2014</td><td align="center" valign="middle" >8 countries</td><td align="center" valign="middle" >13,108</td><td align="center" valign="middle" >14 - 40</td><td align="center" valign="middle" >3 - 97</td></tr><tr><td align="center" valign="middle" >WHO</td><td align="center" valign="middle" >2017</td><td align="center" valign="middle" >2014-2015</td><td align="center" valign="middle" >10 countries</td><td align="center" valign="middle" >1387</td><td align="center" valign="middle" >14 - 40</td><td align="center" valign="middle" >3 - 97</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Present study (Retrospective birthweight data)</td><td align="center" valign="middle" >2012-2017</td><td align="center" valign="middle" >Hong Kong Chinese</td><td align="center" valign="middle" >25,208</td><td align="center" valign="middle" >25 - 41</td><td align="center" valign="middle" >3 - 97</td></tr></tbody></table></table-wrap><p>The previously published Hong Kong studies were all based on retrospective birthweight cohorts. The Ip study [<xref ref-type="bibr" rid="scirp.111131-ref23">23</xref>] published almost five decades ago, represented the first local birthweight centiles in a university maternity hospital, while the Woo [<xref ref-type="bibr" rid="scirp.111131-ref24">24</xref>] and Rogers [<xref ref-type="bibr" rid="scirp.111131-ref25">25</xref>] birthweight centiles represented the growth standards of different regions of Hong Kong (Hong Kong Island and New Territories) in the 1980s respectively. Fok et al. prospectively updated his growth standards of Chinese newborns delivered in the 10 public hospitals and 2 private hospitals in 1990s [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] and attempted to include a more general overall representation of Hong Kong Chinese babies. Our study retrospectively constructed the birthweight references of Hong Kong Chinese babies within the past decade. While our database was based on a single public training hospital, there appears no good evidence that profound biological, ethnic or socioeconomic differences existed between different districts of Hong Kong that could generate sufficiently significant influence on birthweight. In the other hand, being a tertiary referral unit, our data included high risk pregnancies such as those born extremely preterm or with significant medical conditions, allowing the realistic spectrum of birthweights at each gestation to be included, rather than ideal growth centiles in a low risk normal cohort. Therefore, we believe that our data should still be a typical representation of the total local population of around 7 million in Hong Kong</p><p>Our study provides an updated local gestational age specific birthweight reference of Hong Kong Chinese newborns since the last published reference in 2003 [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] . Previous studies in China have shown that with changes in the socioeconomic factors and obstetric care, the average birthweight increased from 3186 g in 1993 to 3300 g in 2008 [<xref ref-type="bibr" rid="scirp.111131-ref30">30</xref>] . We did not observe a consistent increase in birthweight from the available studies over the past few decades. The birthweight statistics from the department of Health of Hong Kong also showed that the mean birthweight of Hong Kong newborns was 3.10 kg in 2016, which was similar to that of 3.19 kg in 1993 [<xref ref-type="bibr" rid="scirp.111131-ref31">31</xref>] . As Hong Kong people adopted a western living style, we may expect a local increase towards higher maternal obesity and pregnancy body mass index in recent years as in the Western societies [<xref ref-type="bibr" rid="scirp.111131-ref32">32</xref>] and thus higher birthweight. However, overweight and obesity had not been rising among an HK Chinese pregnant cohort from 1995 to 2005 [<xref ref-type="bibr" rid="scirp.111131-ref33">33</xref>] , while social affluence may be associated with advanced maternal age or primiparous mothers of increasing age, which may contribute to obstetric complications like pre-eclampsia and lower birthweight [<xref ref-type="bibr" rid="scirp.111131-ref34">34</xref>] . These factors may counterbalance one another and result in a fairly similar birthweight in our study when compared with previous studies.</p><p>SGA and LGA are commonly used to define high risk groups of infants who are at increased risks of perinatal morbidity or mortality and therefore require additional antenatal surveillance. We observed a great difference when we applied the centile cut-offs of other studies to our cohort in the classification of SGA and LGA infants. The under-estimation of SGA using the older local birthweight percentiles might lead to under-diagnosis of fetal growth restriction in the antenatal period, leading to insufficient antenatal surveillance for such high-risk pregnancies, and the potential increased risks of perinatal adverse outcome. The over-classification of LGA also implied that AGA infants could be mis-targeted for extra intervention. On the other hand, true LGA infants would be overlooked. We found that the Guangzhou and the Taiwan birthweight centiles most closely resembled our cohort in terms of the cut-offs of SGA and LGA despite the absolute differences in the median or mean birthweights, particularly between 37 - 41 weeks. Presumably, both the Guangzhou and the Taiwan cohort were based on predominantly southern Chinese ethnicity cohorts within the past two decades. The close geographical as well as socioeconomic proximity would explain the close similarities between their cohort and our data.</p><p>When comparing the birthweight centiles between studies, the results can be affected by the heterogenous study methodology such as methods of data collection or statistical treatment of data in addition to sample size variations. Different studies calculated the birthweight or the gestational age differently. Rogers [<xref ref-type="bibr" rid="scirp.111131-ref25">25</xref>] rounded the birthweights to the nearest 50 g, while Fok [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] measured the birthweights with accuracy to 5 - 10 g. Some studies calculated the gestational age to the nearest weeks instead of the number of completed weeks, with or without the paediatric assessment of maturity after delivery. Moreover, different inclusion and exclusion criteria, such as stillbirths, major fetal congenital abnormalities, were used in different studies. Fok [<xref ref-type="bibr" rid="scirp.111131-ref26">26</xref>] excluded infants born to mothers with medical conditions or pregnancy complications in 1987 but included them in 2003 [<xref ref-type="bibr" rid="scirp.111131-ref27">27</xref>] . Although the effects should theoretically be balanced out with sufficiently large sample sizes, such heterogeneity could still incur errors in the prematurity groups with smaller numbers. In addition, many studies have attempted to produce reference birthweight percentile charts stratified by gender and parity, which are recognized predictors of birthweight. Some studies [<xref ref-type="bibr" rid="scirp.111131-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.111131-ref26">26</xref>] making such distinctions showed that males babies were generally slightly heavier than female babies. Nulliparity was associated with a significantly increased risk of low birthweight (OR 1.41, 95% CI 1.26, 1.58) and small for gestational age (OR 1.89, 95% CI 1.82, 1.96) in a systemic review and meta-analyses [<xref ref-type="bibr" rid="scirp.111131-ref35">35</xref>] . However, growth curve charts that are specifically designed for male or female fetuses, or for women of different parity, are rarely in use in antenatal management. We have therefore decided not to attempt such stratifications when we presented growth centiles at each gestation.</p><p>While traditionally, growth charts in relation to gestation are created based on livebirth birthweight, ultrasound based estimations have recently also been introduced. While using birthweight references based on neonates born at various gestational ages represents the actual birthweight distribution, the possible bias that such preterm infants could more likely be growth restricted due to various antenatal pathology that predisposed to the preterm birth would always be present [<xref ref-type="bibr" rid="scirp.111131-ref36">36</xref>] . In addition, pragmatically there would be substantially fewer numbers of newborns for lower gestational ages, particularly with extremes of prematurity, making data particularly deficient at the ends of the curve. Therefore, ultrasound estimations of Intrauterine growth based on serial fetal biometry has been adovated in recent years to establish prospective fetal growth reference charts. However, the greatest limitation of such prospective ultrasound based fetal growth estimations lies in the absence of a widely accepted formula for fetal weight estimations that could be applicable to all populations.</p><p>The INTERGROWTH-21st [<xref ref-type="bibr" rid="scirp.111131-ref28">28</xref>] and World Health Organization [<xref ref-type="bibr" rid="scirp.111131-ref29">29</xref>] recently developed intrauterine fetal growth charts by ultrasound estimated fetal weight across 8 and 10 countries respectively. INTERGROWTH-21st Fetal Growth Longitudinal Study is an international, multicenter, population-based project conducted between 2009 and 2014 in eight urban areas including a suburban district of the Beijing municipality, China [<xref ref-type="bibr" rid="scirp.111131-ref37">37</xref>] . However, the accuracy of ultrasound estimated fetal weight is limited by different formulas used. We previously retrospectively compared the accuracy of different ultrasound formulas for fetal weight estimation and found that Hadlock1 was the most accurate with the lowest mean absolute percentage error 7.34 when compared with Shepard (9.00; p &lt; 0.001) and INTERGROWTH-21 (9.07; p &lt; 0.001), and the accuracy was significantly lower in fetuses with macrosomia and intrauterine growth restriction [<xref ref-type="bibr" rid="scirp.111131-ref38">38</xref>] . The data from our current cohort showed that the WHO data would grossly over-diagnose SGA and under diagnose LGA, while the INTERGROWTH reference would significantly underdiagnose SGA. Such findings were well supported by a recent local study of 970 fetuses with serial ultrasound growth data showing that the WHO centiles were consistently higher than our local centiles, while the INTERGROWTH-21 centiles were lower [<xref ref-type="bibr" rid="scirp.111131-ref39">39</xref>] . Similarly, a prospective cohort study demonstrated that a customized fetal growth standard detected more neonatal SGA compared with the INTERGROWTH-21st standard [<xref ref-type="bibr" rid="scirp.111131-ref40">40</xref>] . Ideally, customized fetal growth charts taking into account the parity, maternal height and weight and ethnicity could reflect adverse pregnancy outcome better [<xref ref-type="bibr" rid="scirp.111131-ref41">41</xref>] . We agree that the suitability of such international reference ranges for fetal growth would need to be evaluated and validated before being applied to any local population. Further research is required to demonstrate whether there are practical advantages in using ultrasound based growth charts as compared to birthweight derived data.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The use of previously published local birthweight centiles could lead to significant misclassifications of small and large for gestational age when applied to our contemporary cohort, implying the genuine need to update birthweight references for any local population. We have also found that significant discrepancies between the growth centiles from the new ultrasound based international references and our data, and further validation of the formulae used for birthweight estimation from these studies are needed. On the other hand, recent reference centiles from southern Chinese populations were apparently more in agreement with the centiles derived from our current cohort, giving support to the use of ethnically specific growth and birthweight references. Further comparisons with birthweight data from other populations should help to confirm such regional ethnic differences.</p></sec><sec id="s6"><title>Funding Statement</title><p>The authors received no funding for support or completion of this study.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare they have no conflict of interest.</p></sec><sec id="s8"><title>Cite this paper</title><p>Lok, I.W.K., Kong, M.C.W. and To, W.W.K. (2021) Updated Gestational Age Specific Birthweight Reference of Hong Kong Chinese Newborns and Comparison with Local and International Growth Charts. Open Journal of Obstetrics and Gynecology, 11, 940-954. https://doi.org/10.4236/ojog.2021.118090</p></sec></body><back><ref-list><title>References</title><ref id="scirp.111131-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Hon, K.L., Liu, S., Chow, J.C.Y., et al. 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