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Record W4412349366 · doi:10.2196/73508

The Effect of Maternal Choline Intake on Offspring Cognition in Adolescence: Protocol for a 14-year Follow-Up of a Randomized Controlled Feeding Trial

2025· article· en· W4412349366 on OpenAlexvenueno aff
Sophie A Roth, Angie Lam, Barbara J. Strupp, Richard L. Canfield, Elisabeth Anne Larson

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsOffspringPregnancyRandomized controlled trialCognitionCholineMedicineNeuropsychologyPsychologyDevelopmental psychologyPsychiatryInternal medicineBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Choline is an essential micronutrient crucial for fetal neurodevelopment. Numerous rodent studies reveal that compared to maternal consumption of standard chow, maternal prenatal choline deficiency produces lifelong offspring cognitive deficits, and maternal choline supplementation produces lifelong improvements in offspring cognition. Few studies have evaluated this question in humans, with mixed results. Nonetheless, the available data raise concerns about the low choline intakes of pregnant women and highlight the need for knowledge of the functional consequences of various choline intakes during pregnancy. OBJECTIVE: This study will evaluate the cognitive and affective functioning of adolescents born to women who participated in a randomized controlled trial (RCT) of 2 levels of choline intake during pregnancy, with the primary aim of assessing offspring attention and spatial memory. METHODS: In a double-blind, randomized controlled choline feeding trial 26 women beginning their third trimester of pregnancy were randomly assigned to 2 groups: daily choline consumption at 480 or 930 mg/day. In this 14-year follow-up, the offspring (n=21) of these women will complete cognitive tests proctored over videoconferencing software. Cognitive function domains will be assessed using web-based software from the Cambridge Neuropsychological Test Automated Battery (CANTAB Connect). We will also assess facets of mental health using the Achenbach System of Empirically Based Assessment (ASEBA). These assessments will test the hypothesis that third-trimester maternal choline intake exerts lasting effects on offspring attention, memory, executive function, and mental health. RESULTS: Between January 2009 and October 2010, 26 women beginning their third trimester of pregnancy from the Ithaca area were enrolled in the original controlled feeding study. We successfully re-recruited 21 (80%) of the original 26 offspring to this 14-year remote follow-up study. Recruitment started in August 2023 and was concluded in October 2023. Analysis is ongoing, and the first results are expected to be submitted for publication in the fall of 2025. We hypothesize that adolescent offspring born to women in the 930 mg/day group will perform better in domains of attention, memory, executive function, and mental health than offspring of women in the 480 mg/day group. This study is unique because the total maternal choline intake is precisely known, and the offspring are followed into adolescence, a time when group differences are indicative of lifelong effects of prenatal intervention. CONCLUSIONS: The findings will provide important new information concerning the lasting functional consequences of maternal choline intake during pregnancy for offspring neurobehavioral health, thereby informing dietary recommendations and supplementation policies for pregnant women. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05859126; https://clinicaltrials.gov/study/NCT05859126. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/73508.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.027
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.029
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.025
Meta-epidemiology (narrow)0.0060.003
Meta-epidemiology (broad)0.0130.006
Bibliometrics0.0020.003
Science and technology studies0.0040.003
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0290.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.092
GPT teacher head0.519
Teacher spread0.427 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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