Egg consumption reduces the risk of depressive symptoms in the elderly: findings from a 6-year cohort study
Li F, Li X, Gu X, Zhang T, Xu L, Lin J, Chen K
BMC psychiatry · 4 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Cohort study (indexed by PubMed)
- Studied in
- People
- Main outcome
- Health markers and function
- Intake measured by
- Food frequency questionnaire
Who paid for it
- Funding
- Independent funding
- Government
- National Natural Science Foundation of China
- Government
- Natural Science Foundation of Zhejiang Province
- Government
- Medical Health Science and Technology Project of Zhejiang Provincial Health Commission
- Government
- Statistical Science Research Project of Zhejiang Province
- Government
- Zhejiang Provincial Natural Science Foundation of China
- Government
- Zhejiang Provincial Public Welfare Technology Application Research Project of China
- Grants
- Natural Science Foundation of Zhejiang Province (LQ19H260001)
Based on 6 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2023-01-17 · BMC Psychiatry · vol. 23 · issue 1 · p. 44
- Publisher
- BioMed Central
- Cited
- 9 citations · more than 86% of similar papers · 2.1× the field average
- References
- 29 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Nutritional Studies and Diet · Eating Disorders and Behaviors · Agriculture Sustainability and Environmental Impact
- Keywords
- Medicine, Depressive symptoms, Patient Health Questionnaire, Depression (economics), Relative risk, Cohort, Cohort study, Internal medicine, Confidence interval, Demography, Psychiatry, Cognition
- MeSH
- humans, risk factors, cohort studies, prospective studies, depression, aged, surveys and questionnaires
7 authors
From CN
- Fudong LiZhejiang Center for Disease Control and Prevention; Zhejiang University
- Xiaoli LiSecond Affiliated Hospital of Zhejiang University
- Xue Fan GuZhejiang Center for Disease Control and Prevention
- Tao ZhangZhejiang Center for Disease Control and Prevention
- Le XuZhejiang Center for Disease Control and Prevention
- Junfen LinZhejiang Center for Disease Control and Prevention
Abstract
Background
Accumulating evidence showed that dietary habits might modify the risk of depression. This study aimed to evaluate the longitudinal association of egg consumption with depressive symptoms in the Chinese elderly.
Methods
We analyzed the data from Zhejiang Ageing and Health Cohort Study including 8289 participants. The Patient Health Questionnaire-9 scale (PHQ-9) was used to assess depressive symptoms at baseline and three waves of follow-up (2015, 2016, and 2019-2020). A PHQ-9 cut-off score ≥ 5 was used to define depressive symptoms. The participants with depressive symptoms at baseline were excluded. Egg consumption was evaluated through the diet habits section of the baseline questionnaire. Self-reported egg consumption was measured as the number of eggs per week and categorized into three categories. Log-binomial regression models with Generalized Estimating Equations were utilized to evaluate the association of egg consumption with depressive symptoms and estimate relative risks (RRs).
Results
The mean age of included participants was 68.6 years. After 6 years of follow-up, 1385 (16.7%) participants were indicated with depressive symptoms by PHQ-9 at least once. Compared with non-consumers or less-than-weekly consumers, participants consuming < 3 eggs/week and ≥ 3 eggs/week had 30% (RR = 0.70, 95%CI 0.62-0.80) and 38% (RR = 0.62, 95%CI 0.54-0.71) lower risks of depressive symptoms, respectively. A linear association was confirmed (P for trend < 0.01), and each egg increment per week was associated with a 4% lower risk of depressive symptoms (RR = 0.96, 95%CI 0.93-0.99). Sensitivity analyses yielded consistent results to the main analyses.
Conclusions
Egg consumption is prospectively related to a lower risk of depressive symptoms in the Chinese elderly. More prospective studies are needed to verify the association.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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