Association between Systemic Immune-Inflammation Index, Body Composition, and Mortality among Older Adults
نویسندگان
1 Department of Physical Education and Sports Sciences, Faculty of Literature, Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
3 Department of Nutrition, Neyshabour University of Medical Sciences, Neyshabour,Iran.
4 Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran
5 Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
6 Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
7 Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
8 Department of Nutrition, Faculty of Medical Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran
9 Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
10 Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad. Iran
doi
10.22038/jnfh.2024.79713.1512چکیده
Introduction: Chronic inflammation in older adults 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 excess fat and inadequate muscle mass levels, has been identified as an underlying cause of inflammation. Numerous prognostic factors, such as indicators, have been employed to measure inflammation. The Systemic Immune-Inflammation Index (SII) is a reliable indicator of inflammation that correlates with mortality in numerous investigations substantially. This paper aims to examine the relationship between body composition, mortality, and SII. Methods: This cross-sectional study was conducted on 60 years old or older adults using the Neyshabur Longitudinal Study on Ageing (NeLSA) data. 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 participated, of whom 1,858 were male. The median age of participants was 65.71. The study revealed a significant 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 was observed between SII and hs-CRP, which was associated with overall mortality in older adults.
