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The Association Between Nut Consumption and Risk of Depressive Symptoms: A Meta-Analysis of Observational Studiesopen access

Authors
Kim, SohyunLee, HyogyeongChen, Qiao-YiPark, YooheonKeum, NaNa
Issue Date
Dec-2025
Publisher
MDPI
Keywords
nut consumption; depressive symptoms; meta-analysis
Citation
Nutrients, v.17, no.24, pp 1 - 12
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
Nutrients
Volume
17
Number
24
Start Page
1
End Page
12
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/62703
DOI
10.3390/nu17243810
ISSN
2072-6643
2072-6643
Abstract
Background/Objectives: Accumulating evidence suggests that dietary factors such as nuts may play a role in depressive symptoms. Yet, existing evidence regarding the relationship between nut consumption and depressive symptoms remains inconsistent. To clarify this association, we conducted a meta-analysis. Methods: PubMed and Embase were searched for observational studies on the relationship between nut consumption and depressive symptoms published up to September 2025. Summary relative risks (SRRs) and 95% confidence intervals (CIs) were estimated using the DerSimonian-Laird random effects model. Results: A total of seven observational studies, comprising 70,136 participants, were included. Higher nut consumption was significantly associated with a lower risk of depressive symptoms (SRRs = 0.75, 95% CIs, 0.67-0.85; p < 0.001, I-2 = 15%, P-heterogeneity = 0.31). Compared to <1 time/week of nut consumption, the inverse relationship was significant for >= 3 times/week of nut consumption (SRRs = 0.75, 95% CIs = 0.63-0.89, p = 0.001, I-2 = 0%, P-heterogeneity = 0.93), but not for 1 to <3 times/week of nut consumption (SRRs = 0.93, 95% CIs = 0.69-1.24, p = 0.62, I-2 = 52%, P-heterogeneity = 0.10). Conclusions: Our meta-analysis of observational studies found that higher nut consumption was associated with a reduced risk of depressive symptoms, particularly when intake reached at least three servings per week. Further research, especially randomized controlled trials, is needed to understand the underlying mechanisms.
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