Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

The Development and Evaluation of Sleep Intervention for Perinatal Family

Taipei Medical University · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
anxietydepressionnaperinatalpsychological-distresssleepsleep-quality
Background: Sleep disruptions and disturbances are highly prevalent among new mothers and fathers and negatively affect their mental health and infant development outcomes. Effective sleep interventions are vital for family health. Objectives: To develop a sleep intervention for mother-father-infant triads, and to evaluate the effects on sleep improvement, emotional distress, and infant health outcomes. Methods: In this proposal, we plan to conduct a parallel-group two-arm randomized controlled trial on pregnant women and their partners. Mother-father-infant triads will be recruited and randomly allocated to the intervention group (receiving a sleep intervention) or the control group. Data will be collected with repeated measures, and the relationship between studied variables will be analyzed with descriptive and inferential statistics. Anticipatory results: The development and evaluation of an evidence-based sleep intervention will provide a scientific insight into sleep care for pregnant women and their families.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1477061
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive