<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1020-3397</journal-id>
<journal-title><![CDATA[Eastern Mediterranean Health Journal]]></journal-title>
<abbrev-journal-title><![CDATA[East. Mediterr. health j.]]></abbrev-journal-title>
<issn>1020-3397</issn>
<publisher>
<publisher-name><![CDATA[Alexandria: WHO, Regional Office for the Eastern Mediterranean]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1020-33972007000500018</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Risk factors associated with preterm birth in the Gaza Strip: hospital-based case-control study]]></article-title>
<article-title xml:lang="fr"><![CDATA[Facteurs de risque associés aux naissances prématurées dans la Bande de Gaza: étude cas-témoins en milieu hospitalier]]></article-title>
<article-title xml:lang="ar"><![CDATA[&#1593;&#1608;&#1575;&#1605;&#1604; &#1575;&#1604;&#1575;&#1582;&#1578;&#1591;&#1575;&#1585; &#1575;&#1604;&#1605;&#1585;&#1575;&#1601;&#1602;&#1577; &#1604;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577; &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606; &#1601;&#1610; &#1602;&#1591;&#1575;&#1593; &#1594;&#1586;&#1577;: &#1583;&#1585;&#1575;&#1587;&#1577; &#1581;&#1575;&#1604;&#1575;&#1578; &#1605;&#1593; &#1588;&#1608;&#1575;&#1607;&#1583; &#1601;&#1610; &#1571;&#1581;&#1583; &#1575;&#1604;&#1605;&#1587;&#1578;&#1588;&#1601;&#1610;&#1575;&#1578;]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Abu Hamad]]></surname>
<given-names><![CDATA[Kh.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Abed]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Abu Hamad]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Ministry of Health  ]]></institution>
<addr-line><![CDATA[Gaza ]]></addr-line>
<country>Palestine</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Al-Quds University School of Public Health ]]></institution>
<addr-line><![CDATA[Gaza ]]></addr-line>
<country>Palestine</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>10</month>
<year>2007</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>10</month>
<year>2007</year>
</pub-date>
<volume>13</volume>
<numero>5</numero>
<fpage>1132</fpage>
<lpage>1141</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://eastern.mediterranean.scielo.org/scielo.php?script=sci_arttext&amp;pid=S1020-33972007000500018&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://eastern.mediterranean.scielo.org/scielo.php?script=sci_abstract&amp;pid=S1020-33972007000500018&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://eastern.mediterranean.scielo.org/scielo.php?script=sci_pdf&amp;pid=S1020-33972007000500018&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[This study aimed to assess the main maternal risk factors associated with preterm birth in the Gaza Strip. A hospital-based case-control study was carried out at El-Shifa and Khan-Younis hospitals with 200 women with preterm births and 200 control women. Significant risk factors for preterm birth were: maternal age > 35 years, being a refugee, inadequate antenatal care, failure to gain adequate weight during pregnancy and previous history of preterm birth. Other significant risk factors included: short stature, short interval between the last 2 pregnancies, presence of congenital gynaecological abnormalities, previous history of caesarean delivery and previous history of stillbirth.]]></p></abstract>
<abstract abstract-type="short" xml:lang="fr"><p><![CDATA[Cette étude avait pour objectif d’évaluer les principaux facteurs de risque maternels associés aux naissances prématurées dans la Bande de Gaza. Une étude cas-témoins en milieu hospitalier a été menée dans les hôpitaux d’El-Shifa et de Khan-Younis auprès de 200 femmes ayant accouché avant terme et de 200 femmes témoins. Un âge maternel > 35 ans, un statut de réfugiée, la médiocrité de la prise en charge anténatale, l'insuffisance de la prise de poids pendant la grossesse et des antécédents de prématurité sont apparus comme autant de facteurs de risque significatifs de naissance prématurée. Figurent parmi les autres facteurs de risque importants une petite taille, la brièveté de l'intervalle génésique entre les 2 dernières grossesses, la présence de malformations congénitales de l'appareil gynécologique, des antécédents d'accouchement par césarienne et une histoire de mortinatalité.]]></p></abstract>
<abstract abstract-type="short" xml:lang="ar"><p><![CDATA[&#1575;&#1604;&#1582;&#1604;&#1575;&#1589;&#1600;&#1577; &#1578;&#1607;&#1583;&#1601; &#1607;&#1584;&#1607; &#1575;&#1604;&#1583;&#1585;&#1575;&#1587;&#1577; &#1604;&#1578;&#1602;&#1610;&#1600;&#1610;&#1605; &#1593;&#1608;&#1575;&#1605;&#1604; &#1575;&#1604;&#1575;&#1582;&#1578;&#1591;&#1575;&#1585; &#1575;&#1604;&#1585;&#1574;&#1610;&#1587;&#1610;&#1577; &#1575;&#1604;&#1605;&#1585;&#1575;&#1601;&#1602;&#1577; &#1604;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577; &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606; &#1601;&#1610; &#1602;&#1591;&#1575;&#1593; &#1594;&#1586;&#1577;. &#1608;&#1602;&#1583; &#1571;&#1615;&#1580;&#1585;&#1610;&#1614;&#1578; &#1607;&#1584;&#1607; &#1575;&#1604;&#1583;&#1585;&#1575;&#1587;&#1577; &#1584;&#1575;&#1578; &#1575;&#1604;&#1588;&#1608;&#1575;&#1607;&#1583; &#1601;&#1610; &#1605;&#1587;&#1578;&#1588;&#1601;&#1609; &#1583;&#1575;&#1585; &#1575;&#1604;&#1588;&#1601;&#1575;&#1569; &#1608;&#1605;&#1587;&#1578;&#1588;&#1601;&#1609; &#1582;&#1575;&#1606; &#1610;&#1608;&#1606;&#1587;&#1548; &#1608;&#1588;&#1605;&#1604;&#1578; 200 &#1575;&#1605;&#1585;&#1571;&#1577; &#1608;&#1614;&#1590;&#1614;&#1593;&#1618;&#1606;&#1614; &#1571;&#1581;&#1605;&#1575;&#1604;&#1607;&#1606; &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606;&#1548; &#1605;&#1593; 200 &#1575;&#1605;&#1585;&#1571;&#1577; &#1588;&#1575;&#1607;&#1583;&#1577;. &#1608;&#1575;&#1578;&#1590;&#1581; &#1571;&#1606; &#1593;&#1608;&#1575;&#1605;&#1604; &#1575;&#1604;&#1575;&#1582;&#1578;&#1591;&#1575;&#1585; &#1575;&#1604;&#1578;&#1610; &#1610;&#1615;&#1593;&#1618;&#1578;&#1614;&#1583;&#1617;&#1615; &#1576;&#1607;&#1575; &#1573;&#1581;&#1589;&#1575;&#1574;&#1610;&#1575;&#1611; &#1604;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577; &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606; &#1607;&#1610;: &#1576;&#1604;&#1608;&#1594; &#1593;&#1605;&#1585; &#1575;&#1604;&#1571;&#1605; 35 &#1593;&#1575;&#1605;&#1575;&#1611; &#1601;&#1571;&#1603;&#1579;&#1585;&#1548; &#1608;&#1603;&#1608;&#1606; &#1575;&#1604;&#1571;&#1605; &#1604;&#1575;&#1580;&#1574;&#1577;&#1548; &#1608;&#1593;&#1583;&#1605; &#1578;&#1604;&#1602;&#1617;&#1616;&#1610; &#1585;&#1593;&#1575;&#1610;&#1577; &#1603;&#1575;&#1601;&#1610;&#1577; &#1602;&#1576;&#1604; &#1575;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577;&#1548; &#1608;&#1593;&#1583;&#1605; &#1575;&#1603;&#1578;&#1587;&#1575;&#1576; &#1575;&#1604;&#1608;&#1586;&#1606; &#1575;&#1604;&#1605;&#1606;&#1575;&#1587;&#1576; &#1571;&#1579;&#1606;&#1575;&#1569; &#1575;&#1604;&#1581;&#1605;&#1604;&#1548; &#1608;&#1608;&#1580;&#1608;&#1583; &#1587;&#1608;&#1575;&#1576;&#1602; &#1604;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577; &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606;&#1563; &#1607;&#1584;&#1575; &#1573;&#1604;&#1609; &#1580;&#1575;&#1606;&#1576; &#1593;&#1608;&#1575;&#1605;&#1604; &#1571;&#1582;&#1585;&#1609; &#1610;&#1615;&#1593;&#1618;&#1578;&#1614;&#1583;&#1617;&#1615; &#1576;&#1607;&#1575; &#1573;&#1581;&#1589;&#1575;&#1574;&#1610;&#1575;&#1611; &#1608;&#1607;&#1610; &#1602;&#1589;&#1585; &#1575;&#1604;&#1602;&#1575;&#1605;&#1577;&#1548; &#1608;&#1602;&#1589;&#1585; &#1575;&#1604;&#1601;&#1578;&#1600;&#1585;&#1577; &#1576;&#1610;&#1606; &#1575;&#1604;&#1581;&#1605;&#1604;&#1610;&#1606; &#1575;&#1604;&#1571;&#1582;&#1610;&#1585;&#1610;&#1606;&#1548; &#1608;&#1608;&#1580;&#1608;&#1583; &#1588;&#1584;&#1608;&#1584;&#1575;&#1578; &#1582;&#1604;&#1602;&#1610;&#1577; &#1606;&#1587;&#1575;&#1574;&#1610;&#1577;&#1548; &#1608;&#1608;&#1580;&#1608;&#1583; &#1587;&#1608;&#1575;&#1576;&#1602; &#1608;&#1604;&#1575;&#1583;&#1577; &#1576;&#1593;&#1605;&#1604;&#1610;&#1577; &#1602;&#1610;&#1589;&#1585;&#1610;&#1577;&#1548; &#1608;&#1608;&#1580;&#1608;&#1583; &#1587;&#1608;&#1575;&#1576;&#1602; &#1573;&#1605;&#1604;&#1575;&#1589; (&#1608;&#1604;&#1575;&#1583;&#1577; &#1580;&#1606;&#1610;&#1606; &#1605;&#1610;&#1578;).]]></p></abstract>
</article-meta>
</front><body><![CDATA[ <p align="right"><font face="verdana" size="2"><b>RESEARCH ARTICLES</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="4"><b>Risk factors    associated with preterm birth in the Gaza Strip: hospital-based case-control    study </b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Facteurs de    risque associés aux naissances prématurées dans la Bande de Gaza : étude cas-témoins    en milieu hospitalier </b></font></p>     <p>&nbsp;</p>     <p align="right"><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>&#1593;&#1608;&#1575;&#1605;&#1604;    &#1575;&#1604;&#1575;&#1582;&#1578;&#1591;&#1575;&#1585; &#1575;&#1604;&#1605;&#1585;&#1575;&#1601;&#1602;&#1577;    &#1604;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577; &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606;    &#1601;&#1610; &#1602;&#1591;&#1575;&#1593; &#1594;&#1586;&#1577;: &#1583;&#1585;&#1575;&#1587;&#1577;    &#1581;&#1575;&#1604;&#1575;&#1578; &#1605;&#1593; &#1588;&#1608;&#1575;&#1607;&#1583;    &#1601;&#1610; &#1571;&#1581;&#1583; &#1575;&#1604;&#1605;&#1587;&#1578;&#1588;&#1601;&#1610;&#1575;&#1578;</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Kh. Abu Hamad<sup>I</sup>;    Y. Abed<sup>II</sup>; B. Abu Hamad<sup>II</sup></b></font></p>     ]]></body>
<body><![CDATA[<p align="right"><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>&#1582;&#1578;&#1575;&#1605;    &#1571;&#1576;&#1608; &#1581;&#1605;&#1583;&#1548; &#1610;&#1581;&#1610;&#1609;    &#1593;&#1575;&#1576;&#1583;&#1548; &#1576;&#1587;&#1575;&#1605; &#1571;&#1576;&#1608;    &#1581;&#1605;&#1583;</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><sup>I</sup>Ministry    of Health, Gaza, Palestine (Correspondence to Kh. Abu Hamad: <a href="mailto:khitam_hamad@yahoo.com">khitam_hamad@yahoo.com</a>)    <br>   </font><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><sup>II</sup>School    of Public Health, Al-Quds University, Gaza, Palestine</font></p>     <p>     <p>&nbsp;</p>     <p>&nbsp;</p> <hr size="1" noshade>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>ABSTRACT</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This study aimed    to assess the main maternal risk factors associated with preterm birth in the    Gaza Strip. A hospital-based case-control study was carried out at El-Shifa    and Khan-Younis hospitals with 200 women with preterm births and 200 control    women. Significant risk factors for preterm birth were: maternal age <u>&gt;</u>    35 years, being a refugee, inadequate antenatal care, failure to gain adequate    weight during pregnancy and previous history of preterm birth. Other significant    risk factors included: short stature, short interval between the last 2 pregnancies,    presence of congenital gynaecological abnormalities, previous history of caesarean    delivery and previous history of stillbirth. </font></p> <hr size="1" noshade>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>RÉSUMÉ</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Cette étude avait    pour objectif d’évaluer les principaux facteurs de risque maternels associés    aux naissances prématurées dans la Bande de Gaza. Une étude cas-témoins en milieu    hospitalier a été menée dans les hôpitaux d’El-Shifa et de Khan-Younis auprès    de 200 femmes ayant accouché avant terme et de 200 femmes témoins. Un âge maternel    <u>&gt;</u> 35 ans, un statut de réfugiée, la médiocrité de la prise en charge    anténatale, l'insuffisance de la prise de poids pendant la grossesse et des    antécédents de prématurité sont apparus comme autant de facteurs de risque significatifs    de naissance prématurée. Figurent parmi les autres facteurs de risque importants    une petite taille, la brièveté de l'intervalle génésique entre les 2 dernières    grossesses, la présence de malformations congénitales de l'appareil gynécologique,    des antécédents d'accouchement par césarienne et une histoire de mortinatalité.</font></p> <hr size="1" noshade>     ]]></body>
<body><![CDATA[<p align="right"><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>&#1575;&#1604;&#1582;&#1604;&#1575;&#1589;&#1600;&#1577;</b></font></p>     <p align="right"> <font face="Verdana, Arial, Helvetica, sans-serif" size="2">&#1578;&#1607;&#1583;&#1601;    &#1607;&#1584;&#1607; &#1575;&#1604;&#1583;&#1585;&#1575;&#1587;&#1577; &#1604;&#1578;&#1602;&#1610;&#1600;&#1610;&#1605;    &#1593;&#1608;&#1575;&#1605;&#1604; &#1575;&#1604;&#1575;&#1582;&#1578;&#1591;&#1575;&#1585;    &#1575;&#1604;&#1585;&#1574;&#1610;&#1587;&#1610;&#1577; &#1575;&#1604;&#1605;&#1585;&#1575;&#1601;&#1602;&#1577;    &#1604;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577; &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606;    &#1601;&#1610; &#1602;&#1591;&#1575;&#1593; &#1594;&#1586;&#1577;. &#1608;&#1602;&#1583;    &#1571;&#1615;&#1580;&#1585;&#1610;&#1614;&#1578; &#1607;&#1584;&#1607; &#1575;&#1604;&#1583;&#1585;&#1575;&#1587;&#1577;    &#1584;&#1575;&#1578; &#1575;&#1604;&#1588;&#1608;&#1575;&#1607;&#1583; &#1601;&#1610;    &#1605;&#1587;&#1578;&#1588;&#1601;&#1609; &#1583;&#1575;&#1585; &#1575;&#1604;&#1588;&#1601;&#1575;&#1569;    &#1608;&#1605;&#1587;&#1578;&#1588;&#1601;&#1609; &#1582;&#1575;&#1606; &#1610;&#1608;&#1606;&#1587;&#1548;    &#1608;&#1588;&#1605;&#1604;&#1578; 200 &#1575;&#1605;&#1585;&#1571;&#1577;    &#1608;&#1614;&#1590;&#1614;&#1593;&#1618;&#1606;&#1614; &#1571;&#1581;&#1605;&#1575;&#1604;&#1607;&#1606;    &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606;&#1548; &#1605;&#1593;    200 &#1575;&#1605;&#1585;&#1571;&#1577; &#1588;&#1575;&#1607;&#1583;&#1577;.    &#1608;&#1575;&#1578;&#1590;&#1581; &#1571;&#1606; &#1593;&#1608;&#1575;&#1605;&#1604;    &#1575;&#1604;&#1575;&#1582;&#1578;&#1591;&#1575;&#1585; &#1575;&#1604;&#1578;&#1610;    &#1610;&#1615;&#1593;&#1618;&#1578;&#1614;&#1583;&#1617;&#1615; &#1576;&#1607;&#1575;    &#1573;&#1581;&#1589;&#1575;&#1574;&#1610;&#1575;&#1611; &#1604;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577;    &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606; &#1607;&#1610;:    &#1576;&#1604;&#1608;&#1594; &#1593;&#1605;&#1585; &#1575;&#1604;&#1571;&#1605;    35 &#1593;&#1575;&#1605;&#1575;&#1611; &#1601;&#1571;&#1603;&#1579;&#1585;&#1548;    &#1608;&#1603;&#1608;&#1606; &#1575;&#1604;&#1571;&#1605; &#1604;&#1575;&#1580;&#1574;&#1577;&#1548;    &#1608;&#1593;&#1583;&#1605; &#1578;&#1604;&#1602;&#1617;&#1616;&#1610; &#1585;&#1593;&#1575;&#1610;&#1577;    &#1603;&#1575;&#1601;&#1610;&#1577; &#1602;&#1576;&#1604; &#1575;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577;&#1548;    &#1608;&#1593;&#1583;&#1605; &#1575;&#1603;&#1578;&#1587;&#1575;&#1576; &#1575;&#1604;&#1608;&#1586;&#1606;    &#1575;&#1604;&#1605;&#1606;&#1575;&#1587;&#1576; &#1571;&#1579;&#1606;&#1575;&#1569;    &#1575;&#1604;&#1581;&#1605;&#1604;&#1548; &#1608;&#1608;&#1580;&#1608;&#1583;    &#1587;&#1608;&#1575;&#1576;&#1602; &#1604;&#1604;&#1608;&#1604;&#1575;&#1583;&#1577;    &#1602;&#1576;&#1604; &#1575;&#1604;&#1571;&#1608;&#1575;&#1606;&#1563; &#1607;&#1584;&#1575;    &#1573;&#1604;&#1609; &#1580;&#1575;&#1606;&#1576; &#1593;&#1608;&#1575;&#1605;&#1604;    &#1571;&#1582;&#1585;&#1609; &#1610;&#1615;&#1593;&#1618;&#1578;&#1614;&#1583;&#1617;&#1615;    &#1576;&#1607;&#1575; &#1573;&#1581;&#1589;&#1575;&#1574;&#1610;&#1575;&#1611;    &#1608;&#1607;&#1610; &#1602;&#1589;&#1585; &#1575;&#1604;&#1602;&#1575;&#1605;&#1577;&#1548;    &#1608;&#1602;&#1589;&#1585; &#1575;&#1604;&#1601;&#1578;&#1600;&#1585;&#1577;    &#1576;&#1610;&#1606; &#1575;&#1604;&#1581;&#1605;&#1604;&#1610;&#1606; &#1575;&#1604;&#1571;&#1582;&#1610;&#1585;&#1610;&#1606;&#1548;    &#1608;&#1608;&#1580;&#1608;&#1583; &#1588;&#1584;&#1608;&#1584;&#1575;&#1578;    &#1582;&#1604;&#1602;&#1610;&#1577; &#1606;&#1587;&#1575;&#1574;&#1610;&#1577;&#1548;    &#1608;&#1608;&#1580;&#1608;&#1583; &#1587;&#1608;&#1575;&#1576;&#1602; &#1608;&#1604;&#1575;&#1583;&#1577;    &#1576;&#1593;&#1605;&#1604;&#1610;&#1577; &#1602;&#1610;&#1589;&#1585;&#1610;&#1577;&#1548;    &#1608;&#1608;&#1580;&#1608;&#1583; &#1587;&#1608;&#1575;&#1576;&#1602; &#1573;&#1605;&#1604;&#1575;&#1589;    (&#1608;&#1604;&#1575;&#1583;&#1577; &#1580;&#1606;&#1610;&#1606; &#1605;&#1610;&#1578;).</font></p> <hr size="1" noshade>     <p align="right">&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Introduction</b>    </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Preterm birth continues    to be the leading cause of perinatal and postnatal mortality and morbidity especially    in developing countries, where health facilities are not only limited but are    not functioning properly &#91;<i>1</i>&#93;. In spite of our knowledge about the problem,    globally, preterm births are possibly one of the commonest causes of maternal    and child health problems in developed societies &#91;<i>2</i>&#93;. According to Copper    et al. preterm birth occurs in 7% to 11% of pregnancies but is responsible for    85% of neonatal deaths in normally formed infants who do not have any congenital    anomalies &#91;<i>3</i>&#93;. Moreover, the provision of intensive care for extremely    preterm newborns is expensive and preterm birth is considered a traumatic event    &#91;<i>2</i>&#93;.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Although risk factors    for preterm birth have been commonly studied worldwide &#91;<i>2,3</i>&#93;, no systematic    surveys have been conducted in the Gaza Strip. In view of the immense cost of    preterm birth, high total fertility rate in the Gaza Strip, low economic status,    lack of resources and the stresses of the political situation in Gaza Strip    it is important to study the risk factors for preterm birth. It is also important    in view of the uniqueness of the population-a high proportion are Palestinian    refugees-and the known influence of social factors on preterm birth. This study    was therefore carried out to determine the main risk factors that contribute    to preterm birth in the Gaza Strip in order to inform suggestions for strategies    to prevent preterm birth that are etiologically based and country specific.    </font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Methods</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">A hospital-based    case-control was carried out at the 2 main government hospitals in the Gaza    Strip, El-Shifa and Khan-Younis hospitals, with matching for 2 variables: place    of residence (governorate) and place of delivery. The study population consisted    of newly delivered women and their babies. Every premature delivery (case) was    matched with a fullterm delivery (control). </font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Sample</b> </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The sample size    was determined using the statistical program<i> Epi-info</i>. The proposed sample    size was 350 subjects. The actual sample size was increased to 424 subjects    to compensate for non-responses, with a response rate of 94.3%. Thus the study    included 200 cases and 200 controls. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">All women who delivered    in the hospitals during the prescribed period (March to mid April 2002) were    included as cases. Control women were randomly selected by taking the next fullterm    delivery. The inclusion criteria were: for cases, clients who newly delivered    a preterm baby (26-37 weeks gestation); for controls, clients who newly delivered    a fullterm baby (37-42 weeks gestation). The exclusion criteria were: gestational    age &lt; 26 weeks, postmature newborn infants, intrauterine fetal death and    highly urgent cases.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Data collection</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Data were collected    through direct and indirect methods. Direct methods included biomedical measurements    of weight and height for both women and their babies. Indirect data collection    was done through highly structured interviews. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The following were    included in the questionnaire: maternal personal and demographic data (age,    address, governorate of residence, years of education and current occupation);    maternal physical information (maternal height); socioeconomic information (nuclear    or extended family and monthly income); past obstetric history (age at marriage,    history of preterm delivery, history of abortion, history of congenital gynaecological    problems, history of vaginal and cervical infections); antenatal care during    pregnancy (total number of antenatal care visits attended, time of attending    antenatal care); and newborn information (mode of delivery, weight, height,    sex and health problems of newborn). </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Ethical procedures</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">An official letter    of approval to conduct the study was obtained from the authorized ethical committee    in the Gaza Strip. An official letter of request was obtained from the Ministry    of Health to conduct the study in the government hospitals. Every participant    in the study received a complete explanation about the research, its purpose,    confidentiality and sponsorship and every woman knew that participation in the    research was optional and she had the right to refuse. After obtaining informed    consent, clients were interviewed; confidentiality and privacy was maintained.    </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Statistical    analysis </b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The collected data    were entered into a computer using <i>SPSS</i>, version 8.0. The statistical    relationship between the risk factors and preterm birth were assessed using    the chi-squared test and the odds ratio (OR) with 95% confidence interval (CI)    were calculated. Also the <i>t</i>-test was used to determine the difference    between the means of cases and controls. Statistical level of significance used    was 0.05. In addition, logistic regression was done to predict the probability    of having preterm birth.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Constraints    of the study </b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The main constraints    facing the researchers were the political situation during the data collection    period; the Gaza Strip was divided into separated isolated areas which made    the movement of researchers between the 2 study locations difficult and sometimes    even impossible. </font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Results</b>    </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The study showed    obvious variations in demographic factors, socioeconomic status, obstetric/gynaecological    history, current obstetric information and maternal physical characteristics    between the 2 groups. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Demographic    characteristics </b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The study was carried    out in the 5 geographical districts of the Gaza Strip. The majority of participants    were from Gaza governorate (41.0%) followed by North Gaza (19.0%), Khan-Younis    (17.0%), Mid-zone (12.0%) and Rafah (11.0%).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The mean maternal    age of all study participants was 26.7 years &#91;standard deviation (SD) 6.5&#93;.    For cases the mean age was 27.0 years (SD 6.7), while for controls it was 26.1    years (SD 6.2). The majority of mothers were aged 18-34 years (77.4% for cases    and 84.5% for controls), followed by the age group <u>&gt;</u> 35 years; the    fewest mothers were aged &lt; 18 years olds (<a href="#tab1">Table 1</a>). Using    age group 18-34 years old as a base for comparison there was no difference in    the prevalence of preterm birth between cases and controls (4.9% versus 4.5%)    among women aged &lt; 18 years or age 18-34 years old (95.1% versus 95.5%) (<font face="Symbol">c</font> <sup>2</sup>    = 0.03, <i>P</i> = 0.8). However, the prevalence of preterm birth was significantly    higher in cases than in controls among women aged <u>&gt;</u> 35 years (19.4%    versus 12.0%) (<font face="Symbol">c</font><sup>2</sup> = 3.9, <i>P</i> = 0.04)    </font></p>     <p><a name="tab1"></a></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p align="center"><img src="/img/revistas/emhj/v13n5/a17tab01.gif"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Concerning citizenship,    the prevalence of cases from refugees was also significantly higher than from    Palestinian citizens; 63.0% of cases were refugees and 37.0% were Palestinian    citizens, whereas 52.0% of controls were refugees and 48.0% were citizens (<font face="Symbol">c</font> <sup>2</sup>    = 4.9, <i>P</i> = 0.026) (<a href="#tab1">Table 1</a>). </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">For all participants,    years of education were 10.0 years (SD 3.5). For cases, the mean years of education    were the same &#91;10.0 years (SD 3.6)&#93; as for controls &#91;10.0 years (SD 3.4)&#93;. The    proportion of working women was 6.5% among cases and 4.5% among controls. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Maternal physical    characteristics </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The mean maternal    height for the study population was 162.7 cm (SD 7.2). This was significantly    lower for cases than controls &#91;161.8 cm (SD 6.8) versus 163.6 cm (SD 7.5)&#93; (<i>t    </i>= 2.4, <i>P</i> = 0.016) (<a href="#tab2">Table 2</a>).</font></p>     <p><a name="tab2"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/emhj/v13n5/a17tab02.gif"></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The mean increase    in weight during pregnancy for cases was significantly lower than controls &#91;9.8    kg (SD 4.8) versus 11.1 kg (SD 4.8)&#93; (<i>t</i> = 2.4, <i>P</i> = 0.015) (<a href="#tab2">Table    2</a>). </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Current pregnancy</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Regarding the mode    of delivery, the percentage of women who had caesarean section (CS) deliveries    was higher among cases (36.0%) than controls (32.5%).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The proportion    of singleton births among all the study sample was 91.8%, while multiple births    (twins) were only 8.3%. The rate of twin births was higher among cases than    controls (&#967;<sup>2</sup> = 20.6, <i>P</i> &lt; 0.0001) (14.5% versus 2.0%).    </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The mean gestational    age for the offspring of the study sample was 36.8 gestational weeks (SD 3.4).    For cases, the mean gestational age was 34.1 weeks (SD 2.6) and for controls    39.5 weeks (SD 1.4).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The prevalence    of medically induced pregnancy (hormonal therapy and <i>in vitro</i> fertilization)    was significantly higher among cases (12.0%) than controls (4.5%) (&#967;<sup>2</sup>    = 7.4, <i>P</i> &lt; 0.006) (<a href="#tab1">Table 1</a>).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Of women who attended    &lt; 4 antenatal visits, 24.6% were cases and 11.9% were controls (&#967;<sup>2</sup>    = 10.4, <i>P</i> = 0.001) (<a href="#tab1">Table 1</a>).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Obstetric history</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The mean inter-pregnancy    interval between the last 2 pregnancies among the study population was 24.2    months: 23.8 months for cases and 24.7 for controls. <a href="#tab3">Table 3</a>    shows that the prevalence of birth interval &lt; 18 months was higher in cases    than controls (47% versus 32%) (&#967;<sup>2</sup> = 9.8, <i>P</i> &lt; 0.007).</font></p>     <p><a name="tab3"></a></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p align="center"><img src="/img/revistas/emhj/v13n5/a17tab03.gif"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">There was a significant    relationship between previous history of preterm delivery, with a higher prevalence    for cases (34.2%) than controls (8.5%) (<a href="#tab3">Table 3</a>). The mean    number of the previous preterm deliveries was also significantly higher for    cases than controls (2.04 versus 1.18) (<i>t</i> = 3.7, <i>P</i> &lt; 0.001).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The prevalence    of a positive history of stillbirth was higher among cases (11.1%) than controls    (3%) (&#967;<sup>2</sup> = 9.9, <i>P</i> &lt; 0.002) (<a href="#tab3">Table    3</a>)</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#tab3">Tables    3</a> also shows that 22.5% of cases had a positive history of CS delivery compared    to 14% for controls (&#967;<sup>2</sup> = 4.8, <i>P</i> &lt; 0.028).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The prevalence    of women with congenital gynaecological problems of the cervix and uterus was    significant higher among cases (3%) than controls (1%) (&#967;<sup>2</sup> =    6.8, <i>P</i> &lt; = 0.033). The main congenital gynaecological abnormalities    present among the study population were septate uterus and cervical incompetence    (data collected subjectively from the women).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Regression analysis</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The logistic regression    analysis showed the following factors were significant: maternal age <u>&gt;</u>    35 years (OR 1.8, 95% CI: 1-3, <i>P</i> = 0.04), refugee status (OR 1.57, 95%    CI: 1.05-2.34, <i>P </i>= 0.026), &lt; 4 antenatal visits (OR 2.4, 95% CI: 1.4-4.1,    <i>P</i> = 0.001), medically induced pregnancy (OR 2.89, 95% CI: 1.30-6.4, <i>P</i>    = 0.006), history of preterm delivery (OR = 5.58, 95% CI: 3.13-9.94, <i>P</i>    &lt; 0.001), history of stillbirth (OR 4.01, 95% CI: 1.59-10.13, <i>P</i> =    0.002) and history of CS (OR 1.78, 95% CI: 1.00-3.00, <i>P</i> = 0.028) (<a href="#tab4">Table    4</a>).</font></p>     <p><a name="tab4"></a></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p align="center"><img src="/img/revistas/emhj/v13n5/a17tab04.gif"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Discussion</b>    </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The present study    was designed to investigate the maternal risk factors that contributed to preterm    birth in the Gaza Strip. Although the mean maternal age among cases (27.0 years)    was only slightly higher than controls (26.1 years), analysis by age group revealed    a significant positive relationship between age <u>&gt;</u> 35 years and risk    of preterm birth. These findings are similar to previous studies &#91;<i>4-6</i>&#93;.    Kirz et al. explained this association by the presence of confounding factors    such as pre-existing medical problems &#91;<i>7</i>&#93;. It is well known that maternal    age <u>&gt;</u> 35 years is linked to the occurrence of medical complications    of pregnancy. The more advanced the maternal age, the more likely the pregnant    woman is to develop pregnancy-related diseases such as pregnancy-induced hypertension    and renal diseases that increase the risk of preterm birth, whether induced    or spontaneous. The conclusion that maternal age <u>&gt;</u> 35 years old is    a risk factor for preterm birth calls for special focus to be paid to this age    category through counselling and health education. Effective antenatal care,    community health education and awareness campaigns, and encouraging the utilization    of family planning services are tools that could decrease this problem.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">One of the determinants    of socioeconomic status that was investigated in this study was citizenship    status. The study found that being a refugee increased the risk of preterm birth    by 1.57-fold and this could be related to the poor economic situation faced    by refugees. Unfortunately, there are no studies available about the role of    citizenship status as a contributor to preterm birth. However, most refugees    have low family income, living in camps that are characterized by bad housing    conditions that put pregnant women under social and economical stress that might    contribute to preterm birth. There is a consensus in the literature regarding    the role of low socioeconomic status in higher preterm birth rates &#91;<i>8</i>&#93;.    Ancel et al. concluded that low educational level and unemployment of all household    members was associated with twice the risk of very preterm birth &#91;<i>9</i>&#93;.    Moreover, underprivileged social situation was significantly related to very    preterm birth rather than moderate preterm birth &#91;<i>10</i>&#93;. Given that refugees    form 58.3% of the total population in the Gaza Strip &#91;<i>11</i>&#93; and are living    under diverse conditions, further studies should be conducted with a larger    sample size to find out if refugee status plays an independent role for preterm    birth or not.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Concerning the    mode of conception, the present work revealed that medical intervention for    conception (hormonal therapy and <i>in vitro</i> fertilization) increased the    risk for preterm birth by almost 3-fold. The literature indicates that the use    of ovulation-induction drugs and <i>in vitro</i> fertilization techniques are    not only considered risk factors for preterm birth but are also linked to the    increasing trends of preterm birth &#91;<i>12,13</i>&#93;. It may be that when women    conceive after medical intervention the health providers tend to be anxious    about the fetus and prefer to induce the pregnancy before it reaches fullterm,    as a way of avoiding undesirable pregnancy outcomes. Further studies should    be conducted to investigate if preterm birth occurs as result of the treatment    or is medically induced. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The study revealed    a significant negative relationship between the total number of antenatal care    visits and having a preterm birth. The risk of preterm birth increased 2.4-fold    among those who attended &lt; 4 visits than those who attended <u>&gt;</u> 4    visits during the entire pregnancy period. This agrees with the literature which    shows that that attending &lt; 6 prenatal care visits was significantly associated    with preterm labour &#91;<i>6,14,15</i>&#93;. It is worth noting that a World Health    Organization technical working group recommended a minimum of 4 antenatal visits    for a woman with a normal pregnancy &#91;<i>16</i>&#93;. This confirms the importance    of conducting population-oriented programmes encouraging attendance at antenatal    care, focusing on the importance of early attendance. Health care systems need    to develop and follow antenatal protocols in a way that increases the effectiveness    of antenatal health services.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The study revealed    a negative statistical relationship between maternal height and preterm birth,    meaning that the taller the woman the less likely she was to have a preterm    birth. There is inconsistency in the literature regarding the role of maternal    height as a contributing factor for preterm delivery. Lao et al. found no significant    relationship between maternal height and preterm birth &#91;<i>17</i>&#93;, whereas    Hacker and Moore found that maternal height &lt; 152.3 cm carried a greater    risk of developing fetal pelvic disproportion, preterm labour and intrauterine    growth retardation &#91;<i>18</i>&#93;. Gong also found an association between maternal    height of &lt; 158 cm and preterm delivery &#91;<i>15</i>&#93;. It is well known that    short maternal stature and pelvic disproportion leads to CS delivery and possible    prematurity. Further studies should be conducted with a larger sample size to    find out if maternal height is an independent risk factor for preterm birth.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">There was a higher    total weight gain among cases than controls, meaning that adequate/normal weight    gain during pregnancy decreases the risk of having a preterm birth regardless    of the pre-pregnancy body mass index (BMI). This finding is supported by Schievel    et al., who showed that the risk of preterm delivery is reduced by an adequate    rate of weight gain during pregnancy even if the mother was underweight before    pregnancy &#91;<i>19</i>&#93;. Health personnel who are caring for pregnant women should    stress the importance of appropriate weight gain and adequate nutrition during    pregnancy. Health education campaigns through the mass media, health promotion    sessions and counselling could be helpful in this regard. </font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Several variables    concerning past obstetric history were risk factors for preterm birth in this    study. A short interval between the last 2 pregnancies (&lt; 18 months) was    associated with an increased risk of preterm birth. There is inconsistency within    the literature about the role of short inter-pregnancy interval and the risk    of preterm birth. Zhu et al. concluded that the optimal inter-pregnancy interval    for preventing adverse perinatal outcome is between 18 to 23 months. The risk    of preterm birth for infants conceived &lt; 6 months after birth is greater    than those who conceived <u>&gt;</u> 12 months &#91;<i>20</i>&#93;. In contrast, Lieberman    et al. found that a short inter-pregnancy interval, &lt; 18 months, is usually    not linked to preterm birth but is associated with increasing risk of low birthweight    &#91;<i>21</i>&#93;. This indicates the importance of conducting population-based programmes    about the importance of spacing between pregnancies. The Islamic doctrine of    breastfeeding children up to 2 years could be helpful in this regard within    the Palestinian culture. The Palestinian health care system needs to assess    the antenatal care offered and factors that encourage the utilization of antenatal    services, such as offering the service free of charge, providing incentives,    health promotion and adequate postnatal services.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">A previous history    of preterm birth was associated with a more than 5-fold increased risk of preterm    birth and the chance of having preterm birth was increased by increasing number    of previous preterm births. Khalil et al. found that history of preterm birth    was associated with increasing the risk of recurrence of preterm birth &#91;<i>8</i>&#93;.    According to a recent study carried out by Bloom et al. the risk of recurrence    of preterm birth accounted for 10% of preterm births (OR 5.6) &#91;<i>22</i>&#93;. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Mothers with a    positive history of stillbirth had a 4-fold increased risk of having preterm    birth than women who did not. In contrast, Khalil et al. found that history    of stillbirth could not be considered as a risk factor for subsequent preterm    birth &#91;<i>8</i>&#93;.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The present work    revealed a statistically significant positive relationship between the previous    history of CS and having preterm birth. There is a consensus in the literature    about the role of CS delivery as a contributing factor for preterm birth. According    to a study conducted in Brazil by Bettiol et al., CS was the main contributor    to the increasing rate of preterm birth rate &#91;<i>23</i>&#93;. They noted that the    relationship between CS and preterm delivery was due to hypertensive disorders,    placental abnormalities or cephalopelvic disproportion.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The presence of    congenital gynaecological problems of the uterus and cervix, mainly septate    uterus and cervical incompetence, increased the chance of having a preterm birth.    Carroll et al. supported this finding and clarified that congenital uterine    anomalies that are implicated in preterm delivery include unicornuate, septate    and bicornate abnormalities &#91;<i>5</i>&#93;. Therefore, women with any congenital    gynaecological problems need further attention and counselling and should be    regarded as having high-risk pregnancies. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">To summarize, the    risk factors for preterm birth were: older maternal age, being a refugee, inadequate    antenatal care, failure to gain adequate weight during pregnancy and previous    history of preterm birth. Other significant risk factors were: short stature,    short interval between the last 2 pregnancies, presence of congenital gynaecological    abnormalities, previous history of caesarean delivery and previous history of    stillbirth. We can infer from this that poor economic status, high fertility    and lack of awareness among the women regarding proper nutrition during pregnancy    predispose women for preterm birth in the Gaza Strip. Therefore, it is necessary    to conduct an appropriate prevention programme to reduce the incidence of preterm    birth in the Gaza Strip.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Based on the findings    of the study we recommend that a definition for preterm birth needs to be agreed    with a precise cutoff point distinguishing between abortion and preterm delivery.    Furthermore, there is a need to revise/utilize the recently developed protocols    for antenatal, natal and postnatal care. This could include early diagnosis    of possible risk factors. Finally, further studies should be conducted with    a larger sample size to verify the findings of this study. More focused studies    need to be conducted that tackle certain group of variables independently, such    as demographic variables and familial tendency for preterm birth.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Acknowledgements</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This paper is part    of a thesis submitted in partial fulfilment of the requirements for the Degree    of Master of Public Health through the School of Public Health, Al-Quds University,    Gaza, Palestine, 2003.</font></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>References</b></font></p>     <!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">1. Arafa M et al.    Maternal hemoglobin and premature child delivery. <i>Eastern Mediterranean health    journal</i>, 1998, 4(3):480-6. </font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=005023&pid=S1020-3397200700050001800001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">2.   Kramer MS    et al. Secular trends in preterm birth: a hospital-based cohort study. <i>Journal    of the American Medical Association</i>, 1998, 280(21):1849-54. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">3.   Copper RL    et al. A multicenter study of preterm birth weight and gestational age specific    neonatal mortality. <i>American journal of obstetrics and gynecology</i>, 1993,    168:78-84.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">4.   Berkowitz    GS, Papiernik E. Epidemiology of preterm birth. <i>Epidemiologic review</i>,    1993, 15(2):414-34.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">5.   Carroll SG,    Sebire NJ, Nicolaides KH. <i>Preterm prelabour amniorrhexis</i>. New York, Parthenon,    1996. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">6.   Helias FL,    Ancel PY, Blondel B. Risk factors for prematurity in France and comparisons    between spontaneous prematurity and induced labor: results from the National    Perinatal Survey 1995. <i>Journal of obstetrics and biological reproduction</i>,    2000, 29(1):55-65. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">7.   Kirz DS, Dorchester    W, Freeman RK. Advanced maternal age: the mature gravida. <i>American journal    of obstetrics and gynecology</i>, 1985, 152:7-12. </font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">8.   Khalil KA    et al. Pattern of growth and development of premature children at the age of    two and three years in Alexandria Egypt (Part II). <i>Eastern Mediterranean    health journal</i>, 1995, 1(2):186-93.</font></p>     ]]></body>
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<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">19.  Schieve LA    et al. Pre-pregnancy body mass index and pregnancy weight gain: association    with preterm delivery. <i>Obstetrics and gynecology</i>, 2000, 96(2):194-200.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">20.  Zhu BP et    al. Effect of the interval between pregnancies on perinatal outcomes <i>New    England journal of medicine</i>, 1999, 340(8):589-94.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">21.  Lieberman    E et al. The association of interpregnancy interval with small for gestational    age births. <i>Obstetrics and gynecology,</i> 1989, 74:1-5.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">22.  Bloom SL et    al. Recurrence of preterm birth in singleton and twin pregnancies <i>Obstetrics    and gynecology</i>, 2001, 98(3):379-85.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><i>23.  Bettiol    H et al. Factors associated with preterm births in Southeast Brazil: a comparison    of two birth cohorts born 15 years apart. </i>Paediatric and perinatal epidemiology<i>,    2000, 14(1):30-8.</i></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Received: 04/08/05;    accepted: 13/10/05 </font></p>      ]]></body>
<REFERENCES></REFERENCES<back>
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