Adherence To Nutrition Goals From A Pregnancy Nutrition And Exercise Lifestyle Intervention Program (NELIP) Trial
Bibliographic record
Abstract
Adherence to the nutrition component of a nutrition and exercise intervention during pregnancy can be challenging, and many studies do not report tracking changes to nutrition habits over time. Measuring the adherence to specific nutrition goals is critical for the interpretation of the success of a nutrition and exercise intervention. PURPOSE: To use a goal-specific nutrition rubric to examine nutrition adherence as part of the Nutrition and Exercise Lifestyle Intervention Program (NELIP; ClinicalTrials.gov: NCT02804061) during pregnancy. METHODS: Pregnant individuals completed a baseline (12-18 weeks’ gestation) 3-day food intake record (3dFR) and were randomized to one of three strategies, either receiving both nutrition and exercise simultaneously (NE; n = 27), or receiving one component first and the other introduced sequentially at 25 weeks gestation (N + E; n = 30 or E + N; n = 33), completing both components to delivery. The 3dFR was repeated at 25 (midpoint) and 36 weeks’ (endpoint) gestation and scored (out of 20 points) using an analytic rubric developed for NELIP which tracked nutrition adherence to specific goals. RESULTS: Mean adherence was measured across three time points for each treatment group. The main effect of time on adherence was significant (F(2,74) = 5.71, p = 0.004), indicating adherence changed over time across all groups. The main effect of treatment group was also significant (F(2,74) = 4.16, p = 0.02), suggesting differences in adherence among the NE, N + E, and E + N groups. There was no significant interaction between time and treatment group (p = 0.15), suggesting that adherence changed similarly over time for all groups. CONCLUSIONS: Adherence to specific nutrition goals measured with a rubric becomes more difficult as pregnancy progresses, irrespective of the order of delivery of a nutrition and exercise program. Future research may include identifying individual barriers to nutrition adherence in pregnancy, especially in the second and third trimester, and testing and implementing strategies accordingly.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".