Abstract

Background

The exact mechanisms underlying depression are not well understood. Chronic, low-grade inflammation is believed to play an important role in its development. The present study investigates the potential association between depressive symptoms and the neutrophil-to-lymphocyte ratio (NLR).

Methods

Seven data cycles of the National Health and Nutrition Examination Survey were extracted. Multivariable logistic regression and a generalized additive model were employed to determine the association.

Results

Thirty thousand eight hundred ninety-six subjects were analyzed. The results indicated that anhedonia and fatigue were significantly associated with NLR. Additionally, the generalized additive model results indicated a non-linear relationship between anhedonia, sleep disturbance and NLR. Subgroup analyses demonstrated that the correlation between anhedonia and NLR was significant in the above-60-year-old group (OR: 1.63, 95% CI: 1.14–2.33) and the male group (OR: 1.50, 95% CI: 1.07–2.10). Sleep disturbance was associated with NLR in the female group (OR: 1.36, 95% CI: 1.04–1.77). Fatigue was associated with NLR (OR: 1.30, 95% CI: 1.02–1.67) in the female group, as was the case in the non-Hispanic White group (OR: 1.32, 95% CI: 1.02–1.70).

Conclusions

There were associations between NLR and specific symptoms, and these associations varied across demographic subgroups. There was a non-linear association between anhedonia, sleep disturbance and NLR. These findings could potentially contribute to the advancement of precision medicine within the field of mental health.

Details

Title
Association between neutrophil-to-lymphocyte ratio and specific depressive symptoms: an analysis of a population-based cross-sectional survey
Author
Moshui Shan; Wang, Shuhua; Sun, Zhonghua; Yang, Yi; Pan, Yu
Pages
1-10
Section
Research
Publication year
2024
Publication date
2024
Publisher
BioMed Central
e-ISSN
1471244X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3126416167
Copyright
© 2024. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.