Literature DB >> 8953632

The effects of prenatal diagnosis, population ageing, and changing fertility rates on the live birth prevalence of Down syndrome in New York State, 1983-1992.

C L Olsen1, P K Cross, L J Gensburg, J P Hughes.   

Abstract

The incidence of Down syndrome (DS) at conception is highly dependent on the maternal age distribution and age-specific pregnancy rates. The live birth prevalence of DS reflects these factors and fetal deaths. This study examined DS live birth prevalence from 1983 to 1992 in New York State and analysed the effects of demographic changes and prenatal diagnosis use on the observed live birth prevalence. Expected DS live birth prevalence without prenatal diagnosis was calculated and compared with observed. Data were obtained from birth defects registries, vital records, and population data maintained by the New York State Department of Health. Over time, DS live birth prevalence was stable at about 10.4 per 10,000 live births. The percentage and number of women in the population above age 30 increased, as did birth rates among these women. Birth rates among younger women decreased. The proportion of DS babies born to women aged 35 and over increased from 27.1 to 34.1 per cent. Use of prenatal diagnosis by this age group ranged from 39.6 to 43.2 per cent, and increased steadily from 1.8 to 4.3 per cent among women under 35. Detection of DS fetuses increased from 82 in 1985 to 233 in 1992. Without prenatal diagnosis, DS live birth prevalence in 1992 would have reached 15.3 per 10,000 live births compared to the 10.2 observed. Prenatal diagnosis has prevented an increase in DS live birth prevalence but has not been sufficient to reduce live birth prevalence significantly.

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Year:  1996        PMID: 8953632     DOI: 10.1002/(SICI)1097-0223(199611)16:11<991::AID-PD977>3.0.CO;2-5

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  8 in total

1.  Down's syndrome: the effects of prenatal diagnosis and demographic factors in a region of the eastern part of Germany.

Authors:  C Rösch; V Steinbicker; S Kropf
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

2.  Abortion rates reflect the optimization of parental investment strategies.

Authors:  J E Lycett; R I Dunbar
Journal:  Proc Biol Sci       Date:  1999-12-07       Impact factor: 5.349

3.  Using matched groups to explore child behavior problems and maternal well-being in children with Down syndrome and autism.

Authors:  Gemma M Griffith; Richard P Hastings; Susie Nash; Christopher Hill
Journal:  J Autism Dev Disord       Date:  2010-05

4.  Live births, natural losses, and elective terminations with Down syndrome in Massachusetts.

Authors:  Gert de Graaf; Frank Buckley; Brian G Skotko
Journal:  Genet Med       Date:  2016-04-14       Impact factor: 8.822

5.  Influence of advanced age of maternal grandmothers on Down syndrome.

Authors:  Suttur S Malini; Nallur B Ramachandra
Journal:  BMC Med Genet       Date:  2006-01-14       Impact factor: 2.103

6.  Health behaviour modelling for prenatal diagnosis in Australia: a geodemographic framework for health service utilisation and policy development.

Authors:  Evelyne E Muggli; David McCloskey; Jane L Halliday
Journal:  BMC Health Serv Res       Date:  2006-09-01       Impact factor: 2.655

7.  Prevalence, prenatal screening and neonatal features in children with Down syndrome: a registry-based national study.

Authors:  Tatjana Glivetic; Urelija Rodin; Milan Milosevic; Diana Mayer; Boris Filipovic-Grcic; Maida Seferovic Saric
Journal:  Ital J Pediatr       Date:  2015-10-28       Impact factor: 2.638

8.  Congenital Cardiovascular Anomalies among Cases of Down Syndrome: A Hospital Based Review of Cases in TikurAnbessa Specialized Hospital, Ethiopia.

Authors:  Ahmed Muntha; Tamirat Moges
Journal:  Ethiop J Health Sci       Date:  2019-03
  8 in total

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