Literature DB >> 2493664

A comparison of the childhood health status of normal birth weight and low birth weight infants.

M D Overpeck1, A J Moss, H J Hoffman, G E Hendershot.   

Abstract

We analyzed previously unavailable data to describe the national health status in 1981 of noninstitutionalized children who were low birth weight infants. They were compared with normal birth weight children. All data contained in the analysis were based on weighted national estimates. Low birth weight children in general were found to have more chronic conditions, more hospitalizations, more days in bed because of illness, more limitations of activity, poorer health status as perceived by parents, and more school days lost because of illness. However, numbers of physician visits were not different even for low birth weight children younger than 2 years, which is inconsistent with the higher proportions of multiple hospitalizations, chronic conditions, and other illness measures. The proportions of children in the younger age groups at risk for health problems associated with low birth weight should be increasing. The proportion of very low birth weight children in the younger age groups with higher excessive morbidity measures tends to support the possibility. The increased survival of high-risk infants raises concern about their future requirements for special medical and educational services, and about the resulting stress on their families. Normal birth weight children were found to make a major contribution to the prevalence of morbidity. It is not the children identified as at risk as a result of low birth weight that comprise most of those with illnesses. The physical, social, and psychological environment after birth probably has the largest impact on the health status of our children. The attributable risk of excessive morbidity associated with low birth weight and very low birth weight reinforces the concept that while the overall impact is not large, the consistent pattern of poorer health for children born with low birth weight, compared to those of normal birth weight, shown in this analysis, is striking. The pattern reinforces concerns with the many factors associated with low birth weight and their effects on the present and future health of the population.

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Year:  1989        PMID: 2493664      PMCID: PMC1580286     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  9 in total

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Authors:  S SHAPIRO
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2.  Birthweight and gestational age: mothers' estimates compared with state and hospital records.

Authors:  R E Little
Journal:  Am J Public Health       Date:  1986-11       Impact factor: 9.308

3.  Prevalence of activity limiting chronic conditions among children based on household interviews.

Authors:  P W Newacheck; N Halfon; P P Budetti
Journal:  J Chronic Dis       Date:  1986

4.  The changing pattern of low birth weight in the United States--1970 to 1980.

Authors:  S S Kessel; J Villar; H W Berendes; R P Nugent
Journal:  JAMA       Date:  1984-04-20       Impact factor: 56.272

5.  Overview of the National Infant Mortality Surveillance (NIMS) project--design, methods, results.

Authors:  C J Hogue; J W Buehler; L T Strauss; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

6.  A comparison of pregnancy history recall and medical records. Implications for retrospective studies.

Authors:  B C Tilley; A B Barnes; E Bergstralh; D Labarthe; K L Noller; T Colton; E Adam
Journal:  Am J Epidemiol       Date:  1985-02       Impact factor: 4.897

7.  Morbidity in childhood--a longitudinal view.

Authors:  B Starfield; H Katz; A Gabriel; G Livingston; P Benson; J Hankin; S Horn; D Steinwachs
Journal:  N Engl J Med       Date:  1984-03-29       Impact factor: 91.245

8.  Changes in infant morbidity associated with decreases in neonatal mortality.

Authors:  S Shapiro; M C McCormick; B H Starfield; B Crawley
Journal:  Pediatrics       Date:  1983-09       Impact factor: 7.124

9.  Trends in activity-limiting chronic conditions among children.

Authors:  P W Newacheck; P P Budetti; N Halfon
Journal:  Am J Public Health       Date:  1986-02       Impact factor: 9.308

  9 in total
  9 in total

1.  Is low birth weight a risk factor for asthma during adolescence?

Authors:  D S Seidman; A Laor; R Gale; D K Stevenson; Y L Danon
Journal:  Arch Dis Child       Date:  1991-05       Impact factor: 3.791

2.  Trends of abnormal birthweight among full-term infants in Newfoundland and Labrador.

Authors:  Nicole M Edwards; Richard P Audas
Journal:  Can J Public Health       Date:  2010 Mar-Apr

3.  Migrant Selectivity or Cultural Buffering? Investigating the Black Immigrant Health Advantage in Low Birth Weight.

Authors:  Cedric A L Taylor; Dilshani Sarathchandra
Journal:  J Immigr Minor Health       Date:  2016-04

4.  Atrazine exposure in public drinking water and preterm birth.

Authors:  Jessica L Rinsky; Claudia Hopenhayn; Vijay Golla; Steve Browning; Heather M Bush
Journal:  Public Health Rep       Date:  2012 Jan-Feb       Impact factor: 2.792

5.  Health status of extremely low-birth-weight children at 8 years of age: child and parent perspective.

Authors:  Maureen Hack; Christopher B Forrest; Mark Schluchter; H Gerry Taylor; Dennis Drotar; Grayson Holmbeck; Laura Andreias
Journal:  Arch Pediatr Adolesc Med       Date:  2011-10

6.  Birth weight and health and developmental outcomes in US children, 1997-2005.

Authors:  Sheree L Boulet; Laura A Schieve; Coleen A Boyle
Journal:  Matern Child Health J       Date:  2011-10

7.  Maternal experiences of intimate partner violence and child morbidity in Bangladesh: evidence from a national Bangladeshi sample.

Authors:  Jay G Silverman; Michele R Decker; Jhumka Gupta; Nitin Kapur; Anita Raj; Ruchira T Naved
Journal:  Arch Pediatr Adolesc Med       Date:  2009-08

Review 8.  Social causes of low birth weight.

Authors:  M D Kogan
Journal:  J R Soc Med       Date:  1995-11       Impact factor: 18.000

9.  Associations between maternal social capital and infant birth weight in three developing countries: a cross-sectional multilevel analysis of Young Lives data.

Authors:  Hwa-Young Lee; Juhwan Oh; Jessica M Perkins; Jongho Heo; S V Subramanian
Journal:  BMJ Open       Date:  2019-10-09       Impact factor: 2.692

  9 in total

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