Gestational weight gain outside the 2009 Institute of Medicine recommendations: novel psychological and behavioural factors associated with inadequate or excess weight gain in a prospective cohort study
Bibliographic record
Abstract
BACKGROUND: Previous studies have noted traditional physical, demographic, and obstetrical predictors of inadequate or excess gestational weight gain, but the roles of psychological and behavioral factors are not well established. Few interventions targeting traditional factors of gestational weight gain have been successful, necessitating exploration of new domains. The objective of this study was to identify novel psychological and behavioral factors, along with physical, demographic, and obstetrical factors, associated with gestational weight gain that is discordant with the 2009 Institute of Medicine guidelines (inadequate or excess gain). METHODS: We recruited English-speaking women with a live singleton fetus at 8 to 20 weeks of gestation who received antenatal care from 12 obstetrical, family medicine, and midwifery clinics. A questionnaire was used to collect information related to demographic, physical, obstetrical, psychological, and behavioural factors anticipated to be related to weight gain. The association between these factors and total gestational weight gain, classified as inadequate, appropriate, and excess, was examined using stepwise multinomial logistic regression. RESULTS: Our study population comprised 970 women whose baseline data were obtained at a mean of 14.8 weeks of gestation ±3.4 weeks (standard deviation). Inadequate gestational weight gain was associated with obesity, planned gestational weight gain (below the guidelines or not reported), anxiety, and eating sensibly when with others but overeating when alone, while protective factors were frequent pregnancy-related food cravings and preferring an overweight or obese body size image. Excess gestational weight gain was associated with pre-pregnancy overweight or obese body mass index, planned gestational weight gain (above guidelines), frequent eating in front of a screen, and eating sensibly when with others but overeating when alone, while a protective factor was being underweight pre-pregnancy. CONCLUSIONS: In addition to commonly studied predictors, this study identified psychological and behavioral factors associated with inadequate or excess gestational weight gain. Factors common to both inadequate and excessive gestational weight gain were also identified, emphasizing the multidimensional nature of the contributors to guideline-discordant weight gain.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".