The influence on a ‘normal’ birthweight distribution of a minor population of growth retarded infants: a Monte Carlo simulation
It is common practice to define babies below a certain birthweight as ‘growth-retarded’ or ‘small-for-dates’. This presupposes that there is a specific subpopulation of babies who have not achieved their genetic growth potential. The presence of this subpopulation should result in a deviation from a...
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| Veröffentlicht in: | European journal of obstetrics & gynecology and reproductive biology 1995-05, Vol.60 (1), p.41-44 |
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| container_title | European journal of obstetrics & gynecology and reproductive biology |
| container_volume | 60 |
| creator | McIntosh, J.E.A. Chard, T. |
| description | It is common practice to define babies below a certain birthweight as ‘growth-retarded’ or ‘small-for-dates’. This presupposes that there is a specific subpopulation of babies who have not achieved their genetic growth potential. The presence of this subpopulation should result in a deviation from a normal distribution in the population as a whole. We have used a mathematical simulation, together with data from an actual sample of 1463 male Caucasian neonates delivered at 40 weeks, in order to define the characteristics of such a subpopulation which would yield deviations from the normal sufficient to be statistically significant. On the basis of this study, there was no evidence for such a subpopulation of low birthweight babies in the 1463 neonates observed. |
| doi_str_mv | 10.1016/0028-2243(95)02077-2 |
| format | Article |
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This presupposes that there is a specific subpopulation of babies who have not achieved their genetic growth potential. The presence of this subpopulation should result in a deviation from a normal distribution in the population as a whole. We have used a mathematical simulation, together with data from an actual sample of 1463 male Caucasian neonates delivered at 40 weeks, in order to define the characteristics of such a subpopulation which would yield deviations from the normal sufficient to be statistically significant. On the basis of this study, there was no evidence for such a subpopulation of low birthweight babies in the 1463 neonates observed.</description><identifier>ISSN: 0301-2115</identifier><identifier>EISSN: 1872-7654</identifier><identifier>DOI: 10.1016/0028-2243(95)02077-2</identifier><identifier>PMID: 7635229</identifier><identifier>CODEN: EOGRAL</identifier><language>eng</language><publisher>Shannon: Elsevier Ireland Ltd</publisher><subject>Biological and medical sciences ; Birth Weight ; Birthweight ; Computer Simulation ; Growth retardation ; Gynecology. Andrology. Obstetrics ; Humans ; Infant, Newborn ; Infant, Small for Gestational Age ; Male ; Management. Prenatal diagnosis ; Medical sciences ; Monte Carlo Method ; Pregnancy. Fetus. 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This presupposes that there is a specific subpopulation of babies who have not achieved their genetic growth potential. The presence of this subpopulation should result in a deviation from a normal distribution in the population as a whole. We have used a mathematical simulation, together with data from an actual sample of 1463 male Caucasian neonates delivered at 40 weeks, in order to define the characteristics of such a subpopulation which would yield deviations from the normal sufficient to be statistically significant. On the basis of this study, there was no evidence for such a subpopulation of low birthweight babies in the 1463 neonates observed.</description><subject>Biological and medical sciences</subject><subject>Birth Weight</subject><subject>Birthweight</subject><subject>Computer Simulation</subject><subject>Growth retardation</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Infant, Small for Gestational Age</subject><subject>Male</subject><subject>Management. Prenatal diagnosis</subject><subject>Medical sciences</subject><subject>Monte Carlo Method</subject><subject>Pregnancy. Fetus. 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Andrology. Obstetrics</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Infant, Small for Gestational Age</topic><topic>Male</topic><topic>Management. Prenatal diagnosis</topic><topic>Medical sciences</topic><topic>Monte Carlo Method</topic><topic>Pregnancy. Fetus. Placenta</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McIntosh, J.E.A.</creatorcontrib><creatorcontrib>Chard, T.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of obstetrics & gynecology and reproductive biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McIntosh, J.E.A.</au><au>Chard, T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The influence on a ‘normal’ birthweight distribution of a minor population of growth retarded infants: a Monte Carlo simulation</atitle><jtitle>European journal of obstetrics & gynecology and reproductive biology</jtitle><addtitle>Eur J Obstet Gynecol Reprod Biol</addtitle><date>1995-05</date><risdate>1995</risdate><volume>60</volume><issue>1</issue><spage>41</spage><epage>44</epage><pages>41-44</pages><issn>0301-2115</issn><eissn>1872-7654</eissn><coden>EOGRAL</coden><abstract>It is common practice to define babies below a certain birthweight as ‘growth-retarded’ or ‘small-for-dates’. 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| fulltext | fulltext |
| identifier | ISSN: 0301-2115 |
| ispartof | European journal of obstetrics & gynecology and reproductive biology, 1995-05, Vol.60 (1), p.41-44 |
| issn | 0301-2115 1872-7654 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_77440256 |
| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Biological and medical sciences Birth Weight Birthweight Computer Simulation Growth retardation Gynecology. Andrology. Obstetrics Humans Infant, Newborn Infant, Small for Gestational Age Male Management. Prenatal diagnosis Medical sciences Monte Carlo Method Pregnancy. Fetus. Placenta |
| title | The influence on a ‘normal’ birthweight distribution of a minor population of growth retarded infants: a Monte Carlo simulation |
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