Relationship between body fat ratio and inflammatory markers in a Chinese population of adult male smokers
- PMID: 37781105
- PMCID: PMC10534208
- DOI: 10.1016/j.pmedr.2023.102441
Relationship between body fat ratio and inflammatory markers in a Chinese population of adult male smokers
Abstract
Objective: To explore the correlation between changes in the body fat ratio (BFR) and peripheral blood inflammatory markers according to smoking status in the adult Chinese male population.
Methods: A total of 865 participants (aged 20-70 years) were included. All participants underwent a physical health examination at Xiguzhou Central Hospital between October 2015 and July 2016, including measurements of body mass index (BMI), BFR, white blood cell [WBC] count, and neutrophil-lymphocyte ratio [NLR].
Results: WBCs count and NLR were significantly higher in adult male smokers than in non-smokers (P = 0.00). According to the BFR stratification analysis, WBC count and NLR significantly increased in accordance with BFR (P = 0.00). This finding remained significant after adjusting for relevant confounding factors (P < 0.05). Two-factor stratified analysis of smoking status and BFR showed that WBC count and NLR in the smoking population were higher than in nonsmokers, regardless of BFR. The interaction model showed that BFR and smoking status affected WBC count and NLR changes (P < 0.05). A significant positive correlation was found between WBC count, NLR, and BFR in adult male smokers; however, there was no significant correlation with BMI. There was an interaction between smoking and BFR, both of which synergistically affected changes in inflammatory markers, including WBC count and NLR.
Conclusion: WBC count and NLR of smokers with a high BFR were significantly higher than those of nonsmokers with a low BFR. It is important to provide evidence-based medical evidence for social tobacco control and to reduce BFR.
Keywords: Adult male; Body fat ratio; Inflammatory markers; Neutrophil lymphocyte ratio; Smoking; White blood cell count.
© 2023 The Author(s).
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Figures
Similar articles
-
The association between smoking profile, leukocyte count, and inflammatory indices in males: a cross-sectional analysis of the TABARI cohort study at enrollment phase.Inhal Toxicol. 2025 Mar;37(3):146-155. doi: 10.1080/08958378.2025.2499825. Epub 2025 May 5. Inhal Toxicol. 2025. PMID: 40323112
-
Impacts of Preoperative Smoking and Smoking Cessation Time on Preoperative Peripheral Blood Inflammatory Indexes and Postoperative Hospitalization Outcome in Male Patients with Lung Cancer and Surgery Treatment.Chin Med Sci J. 2020 Jun 30;35(2):170-178. doi: 10.24920/003540. Chin Med Sci J. 2020. PMID: 32684237
-
How obesity affects the neutrophil/lymphocyte and platelet/lymphocyte ratio, systemic immune-inflammatory index and platelet indices: a retrospective study.Eur Rev Med Pharmacol Sci. 2016 Apr;20(7):1300-6. Eur Rev Med Pharmacol Sci. 2016. PMID: 27097950
-
Systemic inflammation in 222.841 healthy employed smokers and nonsmokers: white blood cell count and relationship to spirometry.Tob Induc Dis. 2012 May 21;10(1):7. doi: 10.1186/1617-9625-10-7. Tob Induc Dis. 2012. PMID: 22613769 Free PMC article.
-
Neutrophil-to-lymphocyte Ratio and Its Relation with Markers of Inflammation and Myocardial Necrosis in Patients with Acute Coronary Syndrome.Med Arch. 2017 Oct;71(5):312-315. doi: 10.5455/medarh.2017.71.312-315. Med Arch. 2017. PMID: 29284896 Free PMC article.
References
-
- Aguilar-Valles A., Inoue W., Rummel C., Luheshi G.N. Obesity, adipokines and neuroinflammation. Neuropharmacology. 2015;96:124–134. - PubMed
-
- Czernichow S., Kengne A.P., Stamatakis E., Hamer M., Batty G.D. Body mass index, waist circumference and waist-hip ratio: which is the better discriminator of cardiovascular disease mortality risk?: Evidence from an individual-participant meta-analysis of 82 864 participants from nine cohort studies. Obes. Rev. 2011;12:680–687. doi: 10.1111/j.1467-789X.2011.00879.x. - DOI - PMC - PubMed
Publication types
LinkOut - more resources
Full Text Sources