Impact of maternal prenatal psychological stress on birth weight.
Bibliographic record
Abstract
OBJECTIVE: The study aimed to evaluate the impact of prenatal maternal stress on birth weight using a large cohort of predominantly White women living in an urban area. METHOD: Women were recruited between 2005 and 2010. Data collection took place between the 24th and the 28th week of gestation. The Measure of Psychological Stress (MSP-9), a validated tool to assess stress symptoms, was used to collect data on prenatal maternal stress (independent variable). Birth weight (dependent variable) was classified as low birth weight (<2,500 g), normal birth weight (2,500-4,000 g), and macrosomia (>4,000 g). Adjusted odds ratios (aOR) were obtained after performing multivariate logistic regressions adjusted for potential cofounders. At the final stage, 5,721 women were included in analysis. RESULTS: When compared with women experiencing low stress, participants with high stress scores were at increased risk of delivering a newborn with low birth weight before adjustment (OR = 2.06, 95% CI [1.04, 4.09]), but after adjustment, only a nonsignificant trend remained. However, women experiencing intermediate and high levels of stress were at increased risk of delivering a newborn with macrosomia, even after adjustment (aOR = 1.23, [1.02, 1.49]) and (aOR = 1.76, [1.11, 2.77]) compared to those who scored low on the psychological stress scale. CONCLUSION: Women exposed to high psychological stress during the second trimester (24th to 28th weeks) of pregnancy have a 1.8-fold increased risk for delivering a newborn with macrosomia when compared to women exposed to low psychological stress. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".