Long-Term Mortality Implications of Maternal Weight Change in Pregnancy
Bibliographic record
Abstract
High pregnancy weight gain is associated with greater postpartum weight retention; yet the long-term implications remain unknown. We examined associations of pregnancy weight change with mortality after ∼50 years of follow-up. The Collaborative Perinatal Project (CPP) Mortality Linkage Study linked maternal participants in the CPP, a prospective pregnancy cohort (1959–1965), to the National Death Index and Social Security Death Master File for vital status through 2016 (n = 46,042). Total gestational weight change (gain or loss) in the index pregnancy (last CPP singleton pregnancy) was the difference in recorded delivery weight and self-reported pre-pregnancy weight. All-cause and cause-specific mortality associations with quintiles of gestational weight change were estimated using Cox regression adjusting for index pregnancy age, pre-pregnancy body mass index (BMI), race, parity, smoking, marital status, income, education, site, study year, prior chronic conditions, and gestational week at delivery. Majority of women (69%) had a healthy pre-pregnancy BMI and 46% were White and 45% were Black. Median (interquartile range) total gestational weight change was 9.5 kg (6.4–12.2), respectively; 2.5% lost weight in pregnancy. Over a median follow-up of 52 years (IQR 45–54), 38.9% of women died. Adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for mortality across quintiles 1 to 5 were 1.07 (95% CI 1.01–1.12), 1.03 (0.98–1.09), 1.00 (Reference), 1.01 (0.96–1.07), and 1.09 (1.03- 1.14), respectively. Compared to the middle quintile, HRs for the top four causes of death, cancer, cardiovascular disease, respiratory disease, and diabetes for the first quintile were 1.20 (0.99–1.46), 1.05 (0.96–1.15), 1.14 (0.96–1.37), and 0.92 (0.72–1.17), respectively; HRs for the fifth quintile were 1.19 (0.98–1.45), 1.14 (1.03–1.27), 0.95 (0.78–1.14), and 1.52 (1.20–1.92) respectively. This study's novel findings extend the importance of healthy pregnancy weight gain beyond the pregnancy window to women's long mortality risk, particularly from cancer, cardiovascular disease, and diabetes. This work was funded by the Intramural Research Program of the NICHD.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".