OKAYAMA UNIVERSITY SCIENTIFIC ACHIEVEMENT REPOSITORY
metadata only
Long-term association between the COVID-19 pandemic and language development at 3 years of age
Background: Few studies have examined the long-term association between the COVID-19 pandemic and language development in preschoolers or its effect modifiers. We therefore examined this association during health checkups of 3-year-olds in Japan. Methods: This repeated cross-sectional study incl
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
- Early Childhood Education and Care During Corona Virus Disease (COVID-19) Pandemic in Japan#634187
- Navigating childhood fever: A registry-based analysis of parental engagement patterns and information needs in mHealth.#678257
- Young children's screen time, executive functions, and language development: Longitudinal moderation of parent/child coviewing and media content.#308723
- Getting Asian Americans INFORMED to Facilitate COVID-19 Testing and Vaccination#855653
- Sosialisasi Pentingnya Pengunaan Masker pada Pembelajaran Tatap Muka pada Masa Pandemi COVID-19 di Sekolah Menengah Atas (SMA) Kota Padang: Socialization of the Importance of the Use of Mask in Face-to-Face Learning During the COVID-19 Pandemic at the Senior High School in Padang City#1003933
Record · ID 1135027
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive