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Revisiting the low birthweight paradox using sibling data with implications for the classification of low birthweight.
Tabet, M; Flick, L H; Xian, H; Chang, J J.
Affiliation
  • Tabet M; Department of Epidemiology, Saint Louis University College for Public Health and Social Justice, 3545 Lafayette Ave, St. Louis, MO, USA.
  • Flick LH; Department of Epidemiology, Saint Louis University College for Public Health and Social Justice, 3545 Lafayette Ave, St. Louis, MO, USA.
  • Xian H; Department of Biostatistics, Saint Louis University College for Public Health and Social Justice, St. Louis, MO, USA.
  • Chang JJ; Department of Epidemiology, Saint Louis University College for Public Health and Social Justice, 3545 Lafayette Ave, St. Louis, MO, USA.
J Public Health (Oxf) ; 40(4): e601-e607, 2018 12 01.
Article in En | MEDLINE | ID: mdl-29788352
ABSTRACT

Background:

We examined the birthweight threshold for increased odds of neonatal death among second births based on their elder sibling's birthweight category.

Methods:

This population-based cohort study included 190 575 women who delivered their first two non-anomalous singleton live births in Missouri (1989-2005). We examined the birthweight distribution and neonatal mortality curves of second births whose elder sibling had low versus adequate/high birthweight. We determined the optimal cut-off point for the classification of low birthweight among infants in each group based on the Youden index.

Results:

Infants whose elder sibling had low birthweight had a lower mean birthweight and a higher percentage of low birthweight infants versus those whose elder sibling had adequate/high birthweight, but low birthweight infants in the former group had a lower rate of neonatal mortality. Upon standardizing the birthweight distribution to a Z-scale, neonatal mortality rates became comparable between the two groups at every rescaled birthweight for Z-scores ≥-3.7. The optimal cut-off point for low birthweight was 2500 and 3000 g among infants whose elder sibling had low and adequate/high birthweight, respectively.

Conclusions:

Using sibling data for the classification of LBW may enable the identification of average-sized infants who may be at increased risk of neonatal mortality.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Infant, Low Birth Weight / Siblings Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Infant / Newborn Country/Region as subject: America do norte Language: En Journal: J Public Health (Oxf) Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Infant, Low Birth Weight / Siblings Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Infant / Newborn Country/Region as subject: America do norte Language: En Journal: J Public Health (Oxf) Year: 2018 Document type: Article