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Published on: November 30, 2015
Adverse Childhood Experiences and Growth Outcomes in Childhood: A Longitudinal EHR-Based Study
Insights
Adverse childhood experiences (ACEs) significantly impact child growth, leading to reduced height and altered growth timing. These growth disruptions may precede clinical documentation, highlighting early stress as a critical factor in development.
Area of Science:
- Pediatric Health
- Developmental Biology
- Clinical Informatics
Background:
- Adverse childhood experiences (ACEs) are potent risk factors for adverse health outcomes.
- The biological impact of ACEs on childhood development, particularly growth, is not fully understood.
Purpose of the Study:
- To investigate the association between documented ACEs and growth trajectories in a large pediatric cohort.
- To determine if growth alterations precede clinical recognition of ACEs.
Main Methods:
- Utilized longitudinal electronic health record (EHR) data from over 400,000 pediatric patients.
- Employed a Natural Language Processing (NLP) algorithm to identify clinical ACE documentation.
- Analyzed height Z-scores, final attained height, and peak growth velocity in relation to ACE documentation timing.
Main Results:
- ACE documentation was linked to lower height Z-scores and reduced final height.
- Children with ACEs exhibited earlier peak growth velocity timing.
- Height differences emerged approximately two years prior to ACE documentation.
- Earlier ACE exposure correlated with more significant growth alterations.
Conclusions:
- Early life stress, as indicated by ACEs, disrupts childhood growth during sensitive developmental periods.
- Growth trajectory changes associated with ACEs may serve as an early, clinically accessible biomarker.
- These findings underscore the profound and early biological impact of adverse childhood experiences.
Abstract:
Adverse childhood experiences (ACEs) are among the strongest risk factors for long-term mental and physical health complications, yet their impact on childhood biological development remains incompletely understood. In this study, we leverage longitudinal electronic health record (EHR) data from over 400,000 pediatric patients to examine the relationship between clinical ACE documentation identified from a Natural Language Processing (NLP) algorithm and growth trajectories across childhood and adolescence. In this cohort, ACE documentation was associated with consistently lower height Z-scores, reduced final attained height, and earlier timing of peak growth velocity. Differences in height became significant approximately two years before ACE documentation, suggesting that growth disruption precedes formal clinical recognition. Importantly, the magnitude of growth disruption depended on the child's age at ACE documentation, with earlier ACE associated with the largest alterations in height and growth timing. These findings support a model in which early stress impacts childhood growth during sensitive periods and may represent a clinically accessible biomarker of the negative health consequences of ACEs.
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