Dietary sodium, potassium, and blood pressure in normotensive pregnant women: the National Health and Nutrition Examination Survey
Bibliographic record
Abstract
Dietary sodium, potassium, and sodium-to-potassium ratio are linearly associated with blood pressure in nonpregnant adults. Earlier investigations suggested null or inverse associations of blood pressure and sodium during normotensive pregnancy; findings have not been confirmed in race/ethnically diverse women or while accounting for potassium. Our purpose was to evaluate associations of blood pressure with sodium and potassium and sodium-to-potassium ratio in race/ethnically diverse normotensive pregnant women. We used cross-sectional blood pressure and dietary data from 984 women in multiple cycles of the National Health and Nutrition Examination Survey (mean age = 27.6 ± 0.2 years). We tested for differences in blood pressure across quartiles of sodium intake using Kruskal–Wallis tests and linear regression to evaluate associations of sodium, potassium, and the sodium-to-potassium ratio with systolic (SBP) and diastolic (DBP) blood pressures. We adjusted for potential confounding variables: age, race/ethnicity, education, marital status, body mass index, smoking, and month of pregnancy. SBP and DBP were similar across quartiles of sodium intake: quartile 1 (lowest sodium intake): 107/59; quartile 2: 106/59; quartile 3: 108/60; quartile 4 (highest sodium intake): 108/58 mm Hg, p > 0.60 for all. Sodium (β = 0.16, 95% confidence interval (CI): –0.20 to 0.52) and potassium (β = 0.18, 95% CI: –0.24 to 0.60) and the sodium-to-potassium ratio (β = –0.54, 95% CI: –1.55 to 0.47) were not associated with SBP or DBP. Results were similar in stratified analyses. Novelty Blood pressure was similar among quartiles of sodium or potassium intake, even in analyses stratified by race/ethnicity and trimester of pregnancy. There was no association of sodium or potassium with blood pressure. Blood pressure may be insensitive to dietary sodium and potassium during normotensive pregnancy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".