Literature DB >> 10342691

Can children's health be predicted by perinatal health?

M Gissler1, M R Järvelin, P Louhiala, O Rahkonen, E Hemminki.   

Abstract

BACKGROUND: The purpose of this paper was to investigate how well children's health until age 7 years can be predicted by perinatal outcome using routine health registers.
METHODS: Follow-up of one year cohort (N = 60192) was performed by record linkages with personal identification number. The data came from the 1987 Finnish Medical Birth Register, from six other national registers and from education registers of one county.
RESULTS: All perinatal health indicators showed a strong correlation with subsequent health, and prediction of good health was satisfactory: 85% of children who were healthy in the perinatal period did not have any reported health problems in early childhood, and 91% of children healthy in early childhood had been healthy in the perinatal period. However, it was not possible to predict poor health outcome: 76% of the children with reported perinatal problems were healthy in early childhood, and 87% of the children with long-term morbidity in childhood did not have any perinatal problems.
CONCLUSIONS: Our findings suggest that in assessing risk factors and health care technology, monitoring perinatal health is not enough and long-term follow-ups are needed.

Entities:  

Keywords:  Age Factors; Child Health; Demographic Factors; Developed Countries; Europe; Finland; Health; Health Status Indexes; Infant; Measurement; Northern Europe; Population; Population Characteristics; Research Methodology; Research Report; Scandinavia; Youth

Mesh:

Year:  1999        PMID: 10342691     DOI: 10.1093/ije/28.2.276

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  5 in total

1.  Immune function in healthy inner-city children.

Authors:  J A Bartlett; A R Goldklang; S J Schleifer; S E Keller
Journal:  Clin Diagn Lab Immunol       Date:  2001-07

2.  Perinatal factors reported by mothers: do they agree with medical records?

Authors:  Pénélope Troude; Laurence Foix L'Hélias; Anne-Marie Raison-Boulley; Christine Castel; Christine Pichon; Jean Bouyer; Elise de La Rochebrochard
Journal:  Eur J Epidemiol       Date:  2008-06-17       Impact factor: 8.082

3.  MTHFR (C677T) polymorphism and PR (PROGINS) mutation as genetic factors for preterm delivery, fetal death and low birth weight: A Northeast Indian population based study.

Authors:  Diptika Tiwari; Purabi Deka Bose; Somdatta Das; Chandana Ray Das; Ratul Datta; Sujoy Bose
Journal:  Meta Gene       Date:  2015-01-31

Review 4.  Health indices for the evaluation and monitoring of health in children and adolescents in prevention and health promotion: a scoping review.

Authors:  Albulena Selmani; Michaela Coenen; Stephan Voss; Caroline Jung-Sievers
Journal:  BMC Public Health       Date:  2021-12-20       Impact factor: 3.295

5.  Contribution of risk factors to extremely, very and moderately preterm births - register-based analysis of 1,390,742 singleton births.

Authors:  Sari Räisänen; Mika Gissler; Juho Saari; Michael Kramer; Seppo Heinonen
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.