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Related Experiment Videos

Prematurity and work in pregnancy.

A D McDonald1, J C McDonald, B Armstrong

  • 1Institut de Recherche en Santé et en Sécurité du Travail du Québec, Montréal, Canada.

British Journal of Industrial Medicine
|January 1, 1988
PubMed
Summary
This summary is machine-generated.

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Maternal employment in certain sectors, like food service and psychiatric nursing, is linked to increased risks of preterm birth and low birth weight. Heavy lifting and long hours were significant contributing factors to these adverse pregnancy outcomes.

Area of Science:

  • Occupational Health
  • Perinatal Epidemiology
  • Sociomedical Sciences

Background:

  • Maternal employment is increasingly common, raising questions about its impact on pregnancy outcomes.
  • Previous research has yielded mixed results regarding the association between maternal work and adverse birth outcomes.
  • Understanding specific occupational risks is crucial for developing targeted interventions.

Purpose of the Study:

  • To investigate the relationship between maternal employment in various sectors and the incidence of low birth weight and preterm birth.
  • To identify specific job roles and working conditions associated with increased risk.
  • To control for potential confounding factors in the analysis.

Main Methods:

  • A cohort study of 22,761 single live births.

Related Experiment Videos

  • Analysis of low birth weight (≤2500 g) and preterm birth (<37 weeks) frequencies.
  • Statistical adjustment for 11 non-occupational confounding variables.

    • Main Results:

    • Increased risks of preterm birth observed in food/beverage service and psychiatric nursing.
    • Increased risks of low birth weight noted in food/beverage service, cleaning services, and metal/electrical goods manufacturing.
    • Heavy lifting, long work hours, and workplace noise were associated with adverse birth outcomes.

    Conclusions:

    • Certain occupational sectors and working conditions pose significant risks for adverse pregnancy outcomes.
    • Specific jobs like food service, cleaning, and manufacturing require further attention.
    • While bias is unlikely, unmeasured selection factors may influence findings.