Machine learning analysis of the relationships between traumatic childbirth experience with positive and negative fertility motivations in Iran in a community-based sample.

Journal: Reproductive health

PMID: 39901269

Abstract

BACKGROUND: Psychologically traumatic childbirth leads to short and long-term negative impacts on a woman's health and impacts future reproductive decisions. Considering the importance of fertility growth and strengthening positive fertility motivations in …, this community-based study was conducted to investigate the relationship between traumatic childbirth history and positive and negative fertility motivations.

Authors

Mahdieh Arian

Reproductive Health, Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, Iran.
Talat Khadivzadeh

Nursing and Midwifery Care Research Center,, Mashhad University of Medical Sciences, Mashhad, Iran. Tkhadivzadeh@yahoo.com.
Mahla Shafeei

Reproductive Health, Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, Iran.
Sedigheh Abdollahpour

Reproductive Health, Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, Iran. abdollahpourts2@yahoo.com.

Keywords

Adult Cross-Sectional Studies Female Fertility Humans Iran Machine Learning Motivation Parturition Pregnancy Surveys and Questionnaires Young Adult

External Resources

View on PubMed Access via DOI PubMed (39901269)

Machine learning analysis of the relationships between traumatic childbirth experience with positive and negative fertility motivations in Iran in a community-based sample.

Abstract

Authors

Keywords

External Resources

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