Gender differences in the association between pan-immune-inflammation value and probable depression: A
Dongdong Yu1, Ting Cheng1,2, Yue Yang2
1Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Plos One
|December 30, 2025
Summary
Elevated pan-immune inflammation value (PIV) is linked to a higher risk of probable depression, particularly in females. This inflammation marker shows sex-specific associations with depression, warranting further investigation into underlying mechanisms.
Area of Science:
- Medical research
- Epidemiology
- Psychiatry
Background:
- The pan-immune inflammation value (PIV) is an emerging biomarker reflecting systemic inflammation.
- Depression is a prevalent mental health condition with complex underlying factors.
- Understanding the relationship between inflammation and depression is crucial for developing effective interventions.
Purpose of the Study:
- To investigate the non-linear association between PIV and probable depression.
- To identify potential thresholds for PIV in relation to depression risk.
- To explore sex-specific differences in the PIV-depression relationship.
Main Methods:
- Utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2005-2018 (n=27,049).
- Employed restricted cubic spline analysis to model non-linear relationships and identify optimal PIV cutoffs.
- Conducted weighted logistic regression and gender-stratified analyses to assess PIV's association with probable depression.
Main Results:
- An optimal PIV cutoff of 5.74 was identified.
- Individuals with PIV > 5.74 exhibited a 14% increased risk of probable depression (OR=1.14, 95% CI: 1.02-1.28).
- A significant association was observed in females (OR=1.20, 95% CI: 1.03-1.40), but not in males. In males, PIV interacted with age, education, and alcohol consumption.
Conclusions:
- PIV may serve as a sex-specific biomarker for probable depression risk.
- The association between PIV and probable depression appears more robust in females.
- Further research is needed to clarify the mechanisms behind these gender differences and validate findings for clinical use.
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