Data · dataset · 2024
Association between composite dietary antioxidant index and migraine: A nationwide cross-sectional study
Listed in ScienceDB
Background: The field of dietary therapies for migraine has grown in popularity.
Description
Less research has been done to synthesize the relationship between migraine and the composite dietary antioxidant index (CDAI), a crucial indicator for evaluating the overall combined effects of multiple dietary antioxidants. Therefore, this study addressed this gap based on the National Health and Nutrition Examination Survey (NHANES) database.Methods: Univariate analysis and multivariate logistic regression equations were used to investigate the relationship between covariates or CDAI and migraine.
This relationship was further investigated using smoothed curve fitting. After a nonlinear relationship was discovered, the recursive algorithm calculated the turning point, and a linear regression model was developed. Additional stratified analyses were performed to explore differences between populations.Results: In the model corrected for all covariates, the OR of CDAI with migraine was 1.00 (95% CI = 0.98-1.02), which was not statistically significant.
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A smooth-fit curve confirmed the U-shaped relationship between CDAI and migraine and identified an inflection point of 0.2. They were negatively correlated before the inflection point with OR of 0.93 (95% CI = 0.88-0.97) and positively correlated after the inflection point with OR of 1.04 (95% CI = 1.01-1.07). The same U-shaped relationship was observed in women and adults with BMI <30.Conclusions: We identified a U-shaped association between CDAI and migraine in the U.S. adult population, and the same association was discovered in women and adults with BMI <30.
Further case-control studies and experimental research are needed to explore the underlying mechanisms of action.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.16226 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.16226 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |