ネパールでの出生コホート研究における早期ライフエクスポージャー、神経発達、および健康アウトカムに関する研究プロトコル
Tor A Strand1,2, Maria Averina3, Kjersti Sletten Bakken1
1Innlandet Hospital Trust, Anders Sandvigsveg, Lillehammer, NO.
JMIR research protocols
|January 6, 2026
まとめ
環境汚染物質への早期ライフエクスポージャーと栄養状態は、子供の発達と生涯の健康に影響を与えます。ネパールでのこの研究は、脆弱な集団への介入に情報を提供するために、これらのエクスポソーム要因を調査します。
科学分野:
- Environmental Health
- Developmental Pediatrics
- Global Health
背景:
- Negative early-life exposures, especially in the first 1000 days, can disrupt organ development and cause long-term health issues.
- Understanding these exposures is critical for preventing lifelong negative health consequences.
研究 の 目的:
- To characterize early-life risk factors, including environmental pollutants and nutritional status, using an exposome and deep-phenotyping framework.
- To identify associations between these exposures and short- and long-term health and developmental outcomes in children.
- To investigate the most common environmental pollutants in Nepalese women and children and their social gradient.
主な方法:
- Utilizing a pregnancy cohort of 800 mother-infant pairs in Bhaktapur, Nepal, nested within a randomized controlled trial.
- Collecting data on clinical, dietary, cognitive, demographic, anthropometric, environmental pollutant, inflammation, micronutrient, and hormonal variables during pregnancy and infancy.
- Assessing outcomes including neurodevelopment, morbidity, mental health, vaccine responses, thyroid function, growth, body composition, lung function, and biomarkers of health and development.
主要な成果:
- Enrollment began in March 2017, with over 90% of the cohort providing data through the child's 4th birthday.
- Project funding extends until July 2027, with publications anticipated before the end of 2026.
- Analysis will examine associations using cross-sectional, case-control, and cohort designs with advanced statistical methods.
結論:
- The study leverages a well-characterized South Asian mother-child cohort with extensive longitudinal data and biological samples.
- Integrating exposome data aims to enhance understanding of early-life health determinants.
- Findings will inform policies and interventions to protect vulnerable women and children in marginalized settings.
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