Changes in the Prevalence of Chronic Hypertension in Pregnancy, United States, 1970 to 2010
Bibliographic record
Abstract
We estimated changes in the prevalence of chronic hypertension among pregnant women and evaluated the extent to which changes in obesity and smoking were associated with these trends. We designed a population-based cross-sectional analysis of over 151 million women with delivery-related hospitalizations in the United States, 1970 to 2010. Maternal age, year of delivery (period), and maternal year of birth (birth cohort), as well as race, were examined as risk factors for chronic hypertension. Prevalence rates and rate ratios with 95% CIs of chronic hypertension in relation to age, period, and birth cohort were derived through age-period-cohort models. We also examined how changes in obesity and smoking rates influenced age-period-cohort effects. The overall prevalence of chronic hypertension was 0.63%, with black women (1.24%) having more than a 2-fold higher rate than white women (0.53%; rate ratio, 2.31; 95% CI, 2.30-2.32). In the age-period-cohort analysis, the rate of chronic hypertension increased sharply with advancing age and period from 0.11% in 1970 to 1.52% in 2010 (rate ratio, 13.41; 95% CI, 13.22-13.61). The rate of hypertension increased, on average, by 6% (95% CI, 5-6) per year, with the increase being slightly higher among white (7%; 95% CI, 6%-7%) than black (4%; 95% CI, 3%-4%) women. Adjustments for changes in rates of obesity and smoking were not associated with age and period effects. We observed a substantial increase in chronic hypertension rates by age and period and an over 2-fold race disparity in chronic hypertension rates.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".