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Analysis models for variables associated with breastfeeding duration.

Edson Theodoro dos S Neto1, Eliana Zandonade, Adauto Oliveira Emmerich

  • 1Fundação Oswaldo Cruz, Rio de JaneiroRJ, Brasil.

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Summary
This summary is machine-generated.

Pacifier sucking and bottle feeding significantly increase the likelihood of early breastfeeding cessation. Different statistical models, like Cox regression, are crucial for analyzing breastfeeding duration factors.

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Area of Science:

  • Public Health
  • Epidemiology
  • Biostatistics

Background:

  • Breastfeeding is vital for infant health, but duration varies significantly.
  • Understanding factors influencing breastfeeding cessation is crucial for public health interventions.
  • Previous studies have identified various risk factors, but comparative analysis using different statistical models is less explored.

Purpose of the Study:

  • To analyze factors associated with breastfeeding duration using two distinct statistical models: logistic regression and Cox regression.
  • To identify specific risk and protective factors influencing the cessation of breastfeeding in a Brazilian cohort.

Main Methods:

  • A population-based cohort study involving 86 mother-newborn pairs in Vitória, Brazil.
  • Data collection over 30 months through home visits, including sucking habits, socioeconomic, and maternal characteristics.
  • Analysis using logistic regression and Cox regression models to assess breastfeeding duration and cessation.

Main Results:

  • Logistic regression indicated pacifier sucking (aOR: 3.4) and bottle feeding (aOR: 4.4) increased the odds of weaning before one year.
  • Cox regression revealed pacifier sucking (aHR: 2.0) and bottle feeding (aHR: 2.0) were associated with shorter breastfeeding duration.
  • Protective factors like maternal age and family income showed differing associations between the two models.

Conclusions:

  • Pacifier use and bottle feeding are significant risk factors for early breastfeeding cessation.
  • Different statistical regression models provide distinct insights into breastfeeding duration factors.
  • Cox regression models are suitable for analyzing factors influencing breastfeeding duration in longitudinal studies.