Are Lipid-Lowering and Antihypertensive Medications Used as Complements to Heart-Healthy Diets? A Scoping Review
Bibliographic record
Abstract
In cardiovascular disease (CVD) prevention, whether antihypertensive and lipid-lowering medications are used as complements to heart-healthy diets has not been thoroughly assessed. This scoping review aimed to 1) analyze observational studies that assessed the relationship between diet and antihypertensive/lipid-lowering medication use and 2) evaluate whether medication was used as a complement to heart-healthy dietary intakes. We searched MEDLINE, Embase, Web of Science, and CINAHL through 14 January, 2023, for studies that assessed either 1) intraindividual changes in diet associated with lipid-lowering/antihypertensive medication initiation or use or 2) interindividual differences in diet between users and nonusers of these medications. A total of 17 studies were included. Of those, 3 prospectively assessed the intraindividual changes in diet associated with medication initiation or use, but none documented potential changes in diet prior to medication initiation. The 14 other studies compared dietary intakes of medication users and nonusers, most of which also relied on an incomplete assessment of the temporal dynamics between diet and medication use as they employed cross-sectional (n = 12) or repeated cross-sectional (n = 2) designs. Data from 8 studies, including 4 of the 5 studies from Europe, suggested that medication was used as a complement to heart-healthy diets, whereas data from the 9 other studies, including the 4 conducted in the United States, provided no such evidence, indicating potential between-country differences in this relationship. Finally, no studies investigated how the dynamics between diet and medication use influenced the long-term CVD risk. This scoping review suggests that the current literature on the relationship between lipid-lowering/antihypertensive medication use and diet provides an incomplete perspective on how medication may influence diet in CVD prevention. Prospective studies assessing intraindividual changes in diet associated with medication initiation and use and how these dynamics influence the CVD risk are thus needed.
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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 | 0.014 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.017 | 0.020 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".