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Decoding how macronutrients influence depressive symptoms: Combined insights from regression, nonlinear modeling, and
Chaoban Wang1,2, Boya Gong3, Yao Wang4,2
1Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Medicine
|August 7, 2026
Summary
Higher protein and fiber intake are linked to lower depression risk, while higher fat and sugar intake are associated with increased depression. Dietary patterns rich in protein and fiber may benefit mental health.
Area of Science:
- Nutritional Psychiatry
- Epidemiology
- Public Health
Background:
- Dietary management is crucial for depression care, yet research on multiple macronutrient associations with depressive symptoms is limited.
- Understanding these links can inform public health strategies and clinical interventions for mental well-being.
Purpose of the Study:
- To investigate the associations between macronutrient intake and depression levels and depressive symptoms.
- To identify specific dietary components influencing mental health outcomes.
Main Methods:
- Analysis of data from 30,285 participants in the National Health and Nutrition Examination Survey (2005-2023).
- Application of multiple linear regression, logistic regression, restricted cubic spline models, and machine learning techniques.
- Assessment of relationships between macronutrient intake (protein, fat, carbohydrates, fiber, sugars, fatty acids) and depression indicators.
Main Results:
- Higher protein and dietary fiber intake were significantly associated with lower depression levels and reduced risk of depressive symptoms.
- Higher fat and sugar intake were linked to increased depression levels and risk.
- Specific fatty acids (octanoic, eicosatetraenoic) showed protective effects, while dodecanoic acid was associated with higher risk.
Conclusions:
- Higher intake of protein and fiber may play a beneficial role in mitigating depressive symptoms.
- Dietary patterns emphasizing protein and fiber could support mental health.
- Further prospective studies are required to establish causality and elucidate underlying mechanisms.