Evidence Hub

n-3 Fatty acid intake and circadian syndrome in US adults: evidence from the National Health and Nutrition Examination Survey 2005-2018

Zhang D, Sun D, Che B, Zhang B, Zhao L, Wang Y, Shi Z, Peng W

The British journal of nutrition, 2026

Abstract

Circadian syndrome (CircS) appears to be a better predictor for CVD than metabolic syndrome, and n-3 fatty acids are generally suggested to alleviate negative health outcomes. This study aims to investigate the association between n-3 intake and CircS and examine the effect modification by sociodemographic and lifestyle factors. In this cross-sectional study, data from the National Health and Nutrition Examination Survey 2005-2018 were analysed (n 12 028). Survey-weighted multivariable logistic regression was applied to analyse the associations of n-3 intake with CircS and its components. Subgroup analyses examining the effect modification by sociodemographic and lifestyle factors were followed by a restricted cubic spline investigating the non-linear associations between n-3 intake and CircS by race. The weighted prevalence of metabolic syndrome and CircS was 45·8 and 37·3 %, respectively. Overall, no significant associations were found between the intake of total n-3, EPA or DHA and CircS. However, n-3 intake was associated with a lower risk of depression - a component of CircS. Comparing extreme quartiles of n-3 intake (highest v. lowest), the OR (95 % CI) for depressive symptoms was 0·77 (0·64, 0·90). Among the Black, those in the highest quartile of n-3 intake were more likely to have CircS, with the OR (95 % CI) of 1·36 (1·02, 1·82). No association between n-3 intake and CircS in the total study population was observed. However, n-3 intake was inversely associated with…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

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.

Open this study Sign up free