Evidence Hub

Association of Breakfast Consumption Frequency with Depression and Anxiety Symptoms Among School Students: A Cross-Sectional Study in Eastern China

Hao Wang, Yun-Qi Guan, H. Du, Pin-Yuan Dai, Jie-Ming Zhong, Min Yu, Na Li

Nutrients, 2025

14 citations

Abstract

Objective: This study aimed to explore the relationship between breakfast consumption frequency and both depression and anxiety symptoms among middle and high school students in Eastern China. Methods: In this school-based cross-sectional study, 27,001 middle and high school students were investigated in 2022. Multivariable logistic regression models were used to examine the relationship between breakfast consumption frequency and both depression and anxiety symptoms. Results: The percentages of students who consumed breakfast daily, 6 days/week, 4–5 days/week, and ≤3 days/week were 71.0% (95%CI: 69.9–72.2), 8.3% (95%CI: 7.8–8.6), 11.9% (95%CI: 11.2–12.6), and 8.8% (95%CI: 8.2–9.5), respectively. After adjusting for socio-demographic and lifestyle factors, academic performance, self-reported health, and bullying victimization, compared to those consuming breakfast daily, the odds ratios (95%CI) for depression symptoms were 1.32 (1.15–1.52) for those consuming breakfast 6 days/week, 1.66 (1.49–1.84) for those consuming breakfast 4–5 days/week, and 1.74 (1.54–1.97) for those consuming breakfast ≤3 days/week, respectively (p < 0.001). The corresponding figures for anxiety symptoms were 1.31 (1.14–1.51), 1.35 (1.20–1.52), and 1.43 (1.23–1.66), respectively (p < 0.001). Conclusions: Breakfast skipping is common among middle and high school students in Eastern China. The frequency of breakfast consumption is inversely associated with both depression symptoms and anxiety symptoms…

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