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Psychosocial stressors and low birthweight in an urban population.

Publication ,  Journal Article
Orr, ST; James, SA; Miller, CA; Barakat, B; Daikoku, N; Pupkin, M; Engstrom, K; Huggins, G
Published in: American journal of preventive medicine
November 1996

Low birthweight is a major determinant of infant mortality, as well as a contributor to infant and childhood morbidity. A key issue is how to reduce the incidence of low birthweight in the United States. One emerging factor is exposure to psychosocial stressors. In this research, we evaluated the association between exposure to psychosocial stressors and low birthweight in a population of urban, low-income pregnant women.Over 2,000 pregnant women 18 years of age and older were enrolled in this prospective study and recruited at their first prenatal care visit. We obtained information on maternal exposure to stressors. After the pregnancy, we abstracted clinical records of each woman enrolled in the study. Logistic regression was used to estimate the adjusted odds ratio for the association between stressor group membership and low birthweight, controlling for the effects of confounding factors.In logistic regression analyses stratified by race, for African-American women, the following variables were significantly associated with low birthweight: smoking, hypertension, low prepregnancy weight, hospitalization during pregnancy, previous preterm birth, and exposure to stressors. For Caucasian women, significant predictors were: smoking, drug use, hospitalization during pregnancy, hypertension, and previous preterm birth. Exposure to stressors was also significantly associated with many clinical and behavioral risks for low birthweight.Our results suggest two potential mechanisms for an association between stressors and low birthweight. Exposure to stressors may be indirectly associated with low birthweight through a relationship with clinical and behavioral risks for low birthweight. Exposure to psychosocial stressors may also be directly associated with risk of low birthweight among African-American women.

Duke Scholars

Published In

American journal of preventive medicine

DOI

EISSN

1873-2607

ISSN

0749-3797

Publication Date

November 1996

Volume

12

Issue

6

Start / End Page

459 / 466

Related Subject Headings

  • Urban Population
  • Stress, Psychological
  • Risk Factors
  • Public Health
  • Psychology, Social
  • Prospective Studies
  • Pregnancy Complications
  • Pregnancy
  • Poverty
  • Logistic Models
 

Citation

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Chicago
ICMJE
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Orr, S. T., James, S. A., Miller, C. A., Barakat, B., Daikoku, N., Pupkin, M., … Huggins, G. (1996). Psychosocial stressors and low birthweight in an urban population. American Journal of Preventive Medicine, 12(6), 459–466. https://doi.org/10.1016/s0749-3797(18)30268-x
Orr, S. T., S. A. James, C. A. Miller, B. Barakat, N. Daikoku, M. Pupkin, K. Engstrom, and G. Huggins. “Psychosocial stressors and low birthweight in an urban population.American Journal of Preventive Medicine 12, no. 6 (November 1996): 459–66. https://doi.org/10.1016/s0749-3797(18)30268-x.
Orr ST, James SA, Miller CA, Barakat B, Daikoku N, Pupkin M, et al. Psychosocial stressors and low birthweight in an urban population. American journal of preventive medicine. 1996 Nov;12(6):459–66.
Orr, S. T., et al. “Psychosocial stressors and low birthweight in an urban population.American Journal of Preventive Medicine, vol. 12, no. 6, Nov. 1996, pp. 459–66. Epmc, doi:10.1016/s0749-3797(18)30268-x.
Orr ST, James SA, Miller CA, Barakat B, Daikoku N, Pupkin M, Engstrom K, Huggins G. Psychosocial stressors and low birthweight in an urban population. American journal of preventive medicine. 1996 Nov;12(6):459–466.
Journal cover image

Published In

American journal of preventive medicine

DOI

EISSN

1873-2607

ISSN

0749-3797

Publication Date

November 1996

Volume

12

Issue

6

Start / End Page

459 / 466

Related Subject Headings

  • Urban Population
  • Stress, Psychological
  • Risk Factors
  • Public Health
  • Psychology, Social
  • Prospective Studies
  • Pregnancy Complications
  • Pregnancy
  • Poverty
  • Logistic Models