Impact of Prenatal Activity on Child Growth Trajectories: Findings from the APrON Study
Bibliographic record
Abstract
PURPOSE: This study aimed to examine the impact of prenatal physical activity on child growth from birth to 3 years. METHODS: Data were obtained from a subset of the Alberta Pregnancy Outcomes and Nutrition cohort ( N = 1725). Prenatal physical activity was evaluated using the Baecke Questionnaire in the first, second, and third trimesters of pregnancy and separate trajectories of latent clusters of total, work, leisure, and sports activity scores were generated (group 1 = lowest activity; group 3 = highest activity). Child weight and length/height were collected from birth to 36 months. Multitrajectory modeling identified four latent clusters of child growth based on World Health Organization Z scores of length/height, weight, and body mass index (kg/m 2 ). Multinomial logistic regression was used to assess the associations (relative risk ratio; RRR) between prenatal activity and child growth. RESULTS: Infants were classified into four latent growth trajectories: low length low weight (18.7%), reference (41.2%), low length moderate weight (16.0%), and high length high weight (24.2%). Maternal total activity was not associated with child growth trajectory. Higher work activity was associated with increased risk of low length low weight trajectory (group 2, RRR: 1.42; 95% confidence interval [CI]: 1.05-1.89, P = 0.02; group 3, RRR: 1.52; 95% CI: 1.05-2.18; P = 0.02), persisting after adjustment (group 2, adjRRR: 1.48; 95% CI: 1.08-2.03, P = 0.02; group 3, adjRRR: 1.60; 95% CI: 1.09-2.37; P = 0.02). Higher maternal sports activity was linked to low weight low length trajectory following adjustment for maternal demographic variables, but not gestational age at birth. High prenatal leisure activity was associated with an increased likelihood of child classification in the low length moderate weight trajectory in crude (RRR: 1.66; 95% CI: 0.98-2.82; P = 0.06) and adjusted (adjRRR: 1.73; 95% CI: 1.01-2.95; P = 0.04) analyses. CONCLUSIONS: Physical activity domains during pregnancy are differently related to child growth trajectories.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".