Graphic model of birth weight and gestational age in Monastir, Tunisia.
Identifieur interne : 000716 ( PubMed/Corpus ); précédent : 000715; suivant : 000717Graphic model of birth weight and gestational age in Monastir, Tunisia.
Auteurs : S. El Mhamdi ; K. Ben Salem ; A. Hadded ; Z. Gaddour ; M S SoltaniSource :
- Revue d'epidemiologie et de sante publique [ 0398-7620 ] ; 2010.
English descriptors
- KwdEn :
- Adult (MeSH), Bias (MeSH), Birth Weight (MeSH), Female (MeSH), Fetal Growth Retardation (diagnosis), Fetal Growth Retardation (epidemiology), Gestational Age (MeSH), Growth Charts (MeSH), Humans (MeSH), Infant, Low Birth Weight (MeSH), Infant, Newborn (MeSH), Linear Models (MeSH), Male (MeSH), Maternal Age (MeSH), Population Surveillance (MeSH), Reference Values (MeSH), Registries (MeSH), Retrospective Studies (MeSH), Sex Characteristics (MeSH), Sex Ratio (MeSH), Socioeconomic Factors (MeSH), Tunisia (epidemiology).
- MESH :
- diagnosis : Fetal Growth Retardation.
- epidemiology : Fetal Growth Retardation, Tunisia.
- Adult, Bias, Birth Weight, Female, Gestational Age, Growth Charts, Humans, Infant, Low Birth Weight, Infant, Newborn, Linear Models, Male, Maternal Age, Population Surveillance, Reference Values, Registries, Retrospective Studies, Sex Characteristics, Sex Ratio, Socioeconomic Factors.
Abstract
BACKGROUND
Birth weight for gestational age curves provide to clinicians available references to assess fetal growth in individual infants and in populations. In Tunisia, until now, only North American based references were used. The objective of this study was to create national reference curves for birth weight and to compare these to those actually used in our maternities.
METHODS
A retrospective population based study was performed over a period of 11 years (from January 1994 to December 2004) using the register of births database of the region of Monastir. We studied a total of 75,751 births. Gestational age of infants ranged from 28 to 43 weeks. Fifth, tenth, 25th, 50th, 75th, 90th and 95th percentiles for weight were calculated by polynomial linear regression of the following general form to construct the clinical curves (Y=a+bX+cX(2)).
RESULTS
The database included 38,646 males and 37,105 females (sex ratio: 1.04). The resulting male and female curves provide smoothed percentiles cutoffs for defining small and large for gestational age births. An actual difference does exist between our curves and those routinely used.
CONCLUSION
These constructed smoothed gestational curves can be used as a useful tool for assessing birth weight and to evaluate clinical or public health interventions to enhance fetal growth.
DOI: 10.1016/j.respe.2009.12.008
PubMed: 20188502
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pubmed:20188502Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Graphic model of birth weight and gestational age in Monastir, Tunisia.</title><author><name sortKey="El Mhamdi, S" sort="El Mhamdi, S" uniqKey="El Mhamdi S" first="S" last="El Mhamdi">S. El Mhamdi</name><affiliation><nlm:affiliation>Department of Preventive Medicine and Epidemiology, University Hospital of Monastir, Monastir, Tunisia. sanaelmhamdi@yahoo.fr </nlm:affiliation> </affiliation></author><author><name sortKey="Ben Salem, K" sort="Ben Salem, K" uniqKey="Ben Salem K" first="K" last="Ben Salem">K. Ben Salem</name></author><author><name sortKey="Hadded, A" sort="Hadded, A" uniqKey="Hadded A" first="A" last="Hadded">A. Hadded</name></author><author><name sortKey="Gaddour, Z" sort="Gaddour, Z" uniqKey="Gaddour Z" first="Z" last="Gaddour">Z. Gaddour</name></author><author><name sortKey="Soltani, M S" sort="Soltani, M S" uniqKey="Soltani M" first="M S" last="Soltani">M S Soltani</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="RBID">pubmed:20188502</idno><idno type="pmid">20188502</idno><idno type="doi">10.1016/j.respe.2009.12.008</idno><idno type="wicri:Area/PubMed/Corpus">000716</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000716</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Graphic model of birth weight and gestational age in Monastir, Tunisia.</title><author><name sortKey="El Mhamdi, S" sort="El Mhamdi, S" uniqKey="El Mhamdi S" first="S" last="El Mhamdi">S. El Mhamdi</name><affiliation><nlm:affiliation>Department of Preventive Medicine and Epidemiology, University Hospital of Monastir, Monastir, Tunisia. sanaelmhamdi@yahoo.fr </nlm:affiliation> </affiliation></author><author><name sortKey="Ben Salem, K" sort="Ben Salem, K" uniqKey="Ben Salem K" first="K" last="Ben Salem">K. Ben Salem</name></author><author><name sortKey="Hadded, A" sort="Hadded, A" uniqKey="Hadded A" first="A" last="Hadded">A. Hadded</name></author><author><name sortKey="Gaddour, Z" sort="Gaddour, Z" uniqKey="Gaddour Z" first="Z" last="Gaddour">Z. Gaddour</name></author><author><name sortKey="Soltani, M S" sort="Soltani, M S" uniqKey="Soltani M" first="M S" last="Soltani">M S Soltani</name></author></analytic><series><title level="j">Revue d'epidemiologie et de sante publique</title><idno type="ISSN">0398-7620</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Bias (MeSH)</term><term>Birth Weight (MeSH)</term><term>Female (MeSH)</term><term>Fetal Growth Retardation (diagnosis)</term><term>Fetal Growth Retardation (epidemiology)</term><term>Gestational Age (MeSH)</term><term>Growth Charts (MeSH)</term><term>Humans (MeSH)</term><term>Infant, Low Birth Weight (MeSH)</term><term>Infant, Newborn (MeSH)</term><term>Linear Models (MeSH)</term><term>Male (MeSH)</term><term>Maternal Age (MeSH)</term><term>Population Surveillance (MeSH)</term><term>Reference Values (MeSH)</term><term>Registries (MeSH)</term><term>Retrospective Studies (MeSH)</term><term>Sex Characteristics (MeSH)</term><term>Sex Ratio (MeSH)</term><term>Socioeconomic Factors (MeSH)</term><term>Tunisia (epidemiology)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Fetal Growth Retardation</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Fetal Growth Retardation</term><term>Tunisia</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Bias</term><term>Birth Weight</term><term>Female</term><term>Gestational Age</term><term>Growth Charts</term><term>Humans</term><term>Infant, Low Birth Weight</term><term>Infant, Newborn</term><term>Linear Models</term><term>Male</term><term>Maternal Age</term><term>Population Surveillance</term><term>Reference Values</term><term>Registries</term><term>Retrospective Studies</term><term>Sex Characteristics</term><term>Sex Ratio</term><term>Socioeconomic Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Birth weight for gestational age curves provide to clinicians available references to assess fetal growth in individual infants and in populations. In Tunisia, until now, only North American based references were used. The objective of this study was to create national reference curves for birth weight and to compare these to those actually used in our maternities.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>A retrospective population based study was performed over a period of 11 years (from January 1994 to December 2004) using the register of births database of the region of Monastir. We studied a total of 75,751 births. Gestational age of infants ranged from 28 to 43 weeks. Fifth, tenth, 25th, 50th, 75th, 90th and 95th percentiles for weight were calculated by polynomial linear regression of the following general form to construct the clinical curves (Y=a+bX+cX(2)).</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>The database included 38,646 males and 37,105 females (sex ratio: 1.04). The resulting male and female curves provide smoothed percentiles cutoffs for defining small and large for gestational age births. An actual difference does exist between our curves and those routinely used.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>These constructed smoothed gestational curves can be used as a useful tool for assessing birth weight and to evaluate clinical or public health interventions to enhance fetal growth.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20188502</PMID><DateCompleted><Year>2010</Year><Month>07</Month><Day>08</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0398-7620</ISSN><JournalIssue CitedMedium="Internet"><Volume>58</Volume><Issue>2</Issue><PubDate><Year>2010</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Revue d'epidemiologie et de sante publique</Title><ISOAbbreviation>Rev Epidemiol Sante Publique</ISOAbbreviation></Journal><ArticleTitle>Graphic model of birth weight and gestational age in Monastir, Tunisia.</ArticleTitle><Pagination><MedlinePgn>121-6</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.respe.2009.12.008</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Birth weight for gestational age curves provide to clinicians available references to assess fetal growth in individual infants and in populations. In Tunisia, until now, only North American based references were used. The objective of this study was to create national reference curves for birth weight and to compare these to those actually used in our maternities.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A retrospective population based study was performed over a period of 11 years (from January 1994 to December 2004) using the register of births database of the region of Monastir. We studied a total of 75,751 births. Gestational age of infants ranged from 28 to 43 weeks. Fifth, tenth, 25th, 50th, 75th, 90th and 95th percentiles for weight were calculated by polynomial linear regression of the following general form to construct the clinical curves (Y=a+bX+cX(2)).</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The database included 38,646 males and 37,105 females (sex ratio: 1.04). The resulting male and female curves provide smoothed percentiles cutoffs for defining small and large for gestational age births. An actual difference does exist between our curves and those routinely used.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">These constructed smoothed gestational curves can be used as a useful tool for assessing birth weight and to evaluate clinical or public health interventions to enhance fetal growth.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>El Mhamdi</LastName><ForeName>S</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Preventive Medicine and Epidemiology, University Hospital of Monastir, Monastir, Tunisia. sanaelmhamdi@yahoo.fr </Affiliation> </AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ben Salem</LastName><ForeName>K</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Hadded</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Gaddour</LastName><ForeName>Z</ForeName><Initials>Z</Initials></Author><Author ValidYN="Y"><LastName>Soltani</LastName><ForeName>M S</ForeName><Initials>MS</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>02</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>France</Country><MedlineTA>Rev Epidemiol Sante Publique</MedlineTA><NlmUniqueID>7608039</NlmUniqueID><ISSNLinking>0398-7620</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015982" MajorTopicYN="N">Bias</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001724" MajorTopicYN="Y">Birth Weight</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005317" MajorTopicYN="N">Fetal Growth Retardation</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005865" MajorTopicYN="Y">Gestational Age</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D057238" MajorTopicYN="Y">Growth Charts</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007230" MajorTopicYN="N">Infant, Low Birth Weight</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016014" MajorTopicYN="Y">Linear Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008423" MajorTopicYN="N">Maternal Age</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012016" MajorTopicYN="N">Reference Values</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012042" MajorTopicYN="N">Registries</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012727" MajorTopicYN="N">Sex Characteristics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012744" MajorTopicYN="N">Sex Ratio</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014416" MajorTopicYN="N">Tunisia</DescriptorName><QualifierName UI="Q000453" 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