The association between dietary quercetin intake and risk of depressive symptoms: the TCLSIH cohort study
Abstract
Abstract Recent evidence suggests that dietary polyphenols may be linked to positive effects on brain health. This study aimed to examine the association between the quercetin intake and depressive symptoms. A total of 7766 participants without baseline depressive symptoms were included. Dietary quercetin intake was assessed using a validated food frequency questionnaire, and depressive symptoms were assessed by the Self-Rating Depression Scale score. Multivariable Cox proportional hazards models were used to determine the association. After multivariate adjustment, as quartiles of quercetin intake increased, HRs (95% CIs) for depressive symptoms were 1.00 (reference value), 0.72 (0.56, 0.93), 0.69 (0.53, 0.90), and 0.63 (0.46, 0.85) in females (p for trend=0.0026) and 1.00 (reference), 0.94 (0.75, 1.17), 0.84 (0.66, 1.06), and 0.92 (0.71, 1.20) in males (p for trend=0.35), respectively. Our study revealed that dietary quercetin intake may reduce the risk of depressive symptoms in female, but not in males.
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 7,766 participants or records.
Read the paper
Related studies
- Quercetin Influences Quorum Sensing in Food Borne Bacteria: In-Vitro and In-Silico Evidence
- Phenolic-protein interactions: insight from in-silico analyses – a review
- In Silico Discovery of Candidate Drugs against Covid-19
- Neuropharmacological Effects of Quercetin: A Literature-Based Review
- In vitro and in silico anti-dengue activity of compounds obtained from Psidium guajava through bioprospecting
- Effect of Quercetin Rich Onion Extracts on Bacterial Quorum Sensing
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.