AUTHOR=Chen Ke , Wen Yuan , Shu Zhendi
TITLE=Using genetic variations to reveal the complex relationships between vegetarianism and well-being, depressive symptoms and neuroticism
JOURNAL=Frontiers in Nutrition
VOLUME=11
YEAR=2024
URL=https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2024.1389000
DOI=10.3389/fnut.2024.1389000
ISSN=2296-861X
ABSTRACT=BackgroundThe relationship between vegetarianism and mental well-being remains a debated topic in traditional observational studies. Recent studies have revealed the genetic factors in vegetarianism. We aimed to use genetic variations to explore the potential causal relationships between vegetarianism and mental well-being, offering insights from a new perspective.
MethodsWe conducted the inverse variance weighted approach as the primary analysis to explore the bidirectional genetic associations between vegetarianism (N = 442,589) and depressive symptoms (N = 180,866), neuroticism (N = 170,910), and subjective well-being (N = 298,420). The analysis used the summary data from the largest genome-wide association studies (GWAS). We also performed sensitivity analyses to ensure the robustness of the findings, accounting for potential heterogeneity and pleiotropy.
ResultsGenetically predicted vegetarianism showed positive causal relationships with depressive symptoms (odds ratio [OR], 3.26; 95% confidence interval [CI], 1.03–10.31; p = 0.044) and neuroticism (OR, 6.72; 95% CI, 2.29–19.74; p = 5.31 × 10−4), as well as a negative causal relationship with subjective well-being (OR, 0.20; 95% CI, 0.05–0.77; p = 0.019). Additionally, depressive symptoms were found to have a causal influence on vegetarianism (OR, 1.01; 95% CI, 1.00–1.02; p = 6.87 × 10−3). No significant heterogeneity or pleiotropy was detected.
ConclusionVegetarianism is causally correlated with negative mental well-being, reflected in an increased risk of depressive symptoms and neuroticism, as well as lower subjective well-being. Further research should explore the underlying mechanisms in broader populations.