Association between Systemic Immune-Inflammation Index, Body Composition and Mortality among the Elderly

Document Type : Research Paper

Authors

1 Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

2 Department of Nutrition, Faculty of Medical Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Department of Physical Education and Sports Sciences, Faculty of Literature, Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran

4 Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.

5 Department of Nutrition, Neyshabour University of Medical Sciences, Neyshabour,Iran.

6 Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran

7 Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

8 Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad. Iran

Abstract

Introduction: Chronic inflammation in the elderly is associated with various age-related diseases and may contribute to functional decline and reduced quality of life. An imbalance in body composition, characterized by an excess of fat and inadequate levels of muscle mass, has been identified as an underlying cause of inflammation. Numerous prognostic factors, such indexes are employed to measure inflammation. The Systemic Immune-Inflammation Index (SII) is a reliable indicator of inflammation and has been found to have a substantial correlation with mortality in numerous investigations. The goal of this paper is to examine the relationship between body composition, mortality, and SII. Methods: This cross-sectional design utilized data from the Neyshabur Longitudinal Study on Ageing (NeLSA). The participants included in the study were 60 years old or older. SII scores were calculated using data from individual blood bank records. Data analysis involved analytical techniques such as correlation coefficient, logistic regression, and linear regression. Results: A total of 3,534 individuals took part, with 1,858 being male. The median age of participants was 65.71. The study revealed a notable association between the percentage of body fat and SII (p<0.001). The overall mortality rate was 0.93 in 1000. Mortality was linked to SII after adjusting for confounding variables (OR = 1.001, 95% CI = 1.000 to 1.002, P = 0.047). Conclusion: SII only correlated with blood pressure and body fat. A weak correlation   observed between SII and hs-CRP, which was linked to overall mortality in the elderly.

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Main Subjects


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Articles in Press, Accepted Manuscript
Available Online from 11 May 2024
  • Receive Date: 07 May 2024
  • Revise Date: 11 May 2024
  • Accept Date: 11 May 2024