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Related Experiment Video

Updated: May 3, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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Identifying multiple risks of low birth weight using person-centered modeling.

Michael Hendryx1, Juhua Luo2, Sarah S Knox3

  • 1Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, Indiana.

Women'S Health Issues : Official Publication of the Jacobs Institute of Women'S Health
|February 19, 2014
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Summary
This summary is machine-generated.

Identifying subgroups of women with multiple risks is key to reducing low birth weight. Tailored interventions for high-risk groups, like those on Medicaid with substance use and stress, are crucial.

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Area of Science:

  • Public Health
  • Maternal and Child Health
  • Biostatistics

Background:

  • Low birth weight (LBW) is a significant public health concern with multifactorial causes.
  • Understanding the interplay of various risk factors is essential for effective prevention strategies.

Purpose of the Study:

  • To identify distinct subgroups of women based on co-occurring risk factors using latent class analysis.
  • To examine the association between these identified risk classes and the outcome of low birth weight.

Main Methods:

  • Latent class analysis was applied to data from 28,820 live singleton births in West Virginia (2010-2011).
  • Ten risk factors were analyzed, including socioeconomic, behavioral, and healthcare access indicators.

Main Results:

  • Six distinct latent classes of risk were identified, ranging from low-risk to high-risk profiles.
  • Five of the six classes were significantly associated with increased odds of low birth weight compared to the referent group.
  • A particularly high-risk class comprised unmarried women on Medicaid reporting drug use, smoking, stress, and late prenatal care (OR=4.78).

Conclusions:

  • A person-centered approach revealed unique risk profiles associated with low birth weight.
  • Addressing single risk factors is insufficient; interventions must consider co-occurring risks.
  • Targeted interventions for high-risk groups, especially Medicaid recipients with substance use and stress, are recommended to reduce low birth weight.