Association between Systemic Immune-Inflammation Index, Body Composition, and Mortality among Older Adults

Articles in Press

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

Abstract

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.

Keywords

Main Subjects

References

  1. Sabharwal S, Wilson H, Reilly P, Gupte CM. Heterogeneity of the definition of elderly age in current orthopaedic research. Springerplus. 2015;4:516.
  2. Sabri SM, Annuar N, Rahman NLA, Musairah SK, Mutalib HA, Subagja IK. Major Trends in Ageing Population Research: A Bibliometric Analysis from 2001 to 2021. Proceedings. 2022;82(1):19.
  3. Derbie L, Oumer A, Ayele K, Berhane A. Determinants of nutritional status among old age population in eastern Ethiopia: a general linear model approach. J Nutr Sci. 2022;11:e70.
  4. Jaul E, Barron J. Age-Related Diseases and Clinical and Public Health Implications for the 85 Years Old and Over Population. Front Public Health. 2017;5:335.
  5. Kiani S, Bayanzadeh M, Tavallaee M, Hogg RS. The Iranian population is graying: are we ready? Archives of Iranian medicine. 2010;13(4):333-9.
  6. Doshmangir L, Khabiri R, Gordeev VS. Policies to address the impact of an ageing population in Iran. Lancet. 2023;401(10382):1078.
  7. Bos D, Von Weizsacker RK. Economic consequences of an aging population. Eur Econ Rev. 1989;33(2-3):345-54.
  8. Noto S. Perspectives on Aging and Quality of Life. Healthcare (Basel). 2023;11(15).
  9. Viegas R, Alves da Costa F, Mendes R, Deidda M, McIntosh E, Sansano-Nadal O, et al. Relationship of the SITLESS intervention on medication use in community-dwelling older adults: an exploratory study. Front Public Health. 2023;11:1238842.
  10. Salimi F, Garmaroudi G, Mustafa Hosseini S, Batebi A. Effect of Self-Care Educational Program to Improving Quality of Life among Elderly Referred to Health Centers in Zanjan. J Educ Community Health. 2015;2(2):28-37.
  11. Abdi S, Spann A, Borilovic J, de Witte L, Hawley M. Understanding the care and support needs of older people: a scoping review and categorisation using the WHO international classification of functioning, disability and health framework (ICF). BMC Geriatr. 2019;19(1):195.
  12. Ponti F, Santoro A, Mercatelli D, Gasperini C, Conte M, Martucci M, et al. Aging and Imaging Assessment of Body Composition: From Fat to Facts. Frontiers in endocrinology. 2019;10:861.
  13. Ahmed AU. An overview of inflammation: mechanism and consequences. Frontiers in Biology. 2011;6(4):274-81.
  14. Pettersson-Pablo P, Nilsson TK, Breimer LH, Hurtig-Wennlöf A. Body fat percentage is more strongly associated with biomarkers of low-grade inflammation than traditional cardiometabolic risk factors in healthy young adults – the Lifestyle, Biomarkers, and Atherosclerosis study. Scandinavian Journal of Clinical and Laboratory Investigation. 2019;79(3):182-7.
  15. Wang H, Nie H, Bu G, Tong X, Bai X. Systemic immune-inflammation index (SII) and the risk of all-cause, cardiovascular, and cardio-cerebrovascular mortality in the general population. European Journal of Medical Research. 2023;28(1):575.
  16. Deng X, Liu D, Li M, He J, Fu Y. Association between systemic immune-inflammation index and insulin resistance and mortality. Scientific Reports. 2024;14(1):2013.
  17. Hu B, Yang XR, Xu Y, Sun YF, Sun C, Guo W, et al. Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma. Clin Cancer Res. 2014;20(23):6212-22.
  18. Aminisani N, Azimi-Nezhad M, Shamshirgaran SM, Mirhafez SR, Borji A, Poustchi H, et al. Cohort Profile: The IRanian Longitudinal Study on Ageing (IRLSA): the first comprehensive study on ageing in Iran. International Journal of Epidemiology. 2022;51(4):e177-e88.
  19. Keikavoosi-Arani L, Salehi L. Cultural adaptation and psychometric adequacy of the Persian version of the physical activity scale for the elderly (P-PASE). BMC Res Notes. 2019;12(1):555.
  20. Qin Z, Li H, Wang L, Geng J, Yang Q, Su B, et al. Systemic Immune-Inflammation Index Is Associated With Increased Urinary Albumin Excretion: A Population-Based Study. Front Immunol. 2022;13:863640.
  21. Funghetto SS, de Oliveira Silva A, de Sousa NMF, Stival MM, Tibana RA, Pereira LC, et al. Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women. Clinical Interventions in Aging. 2015;10(null):247-53.
  22. Singer K, Eng DS, Lumeng CN, Gebremariam A, J ML. The relationship between body fat mass percentiles and inflammation in children. Obesity (Silver Spring, Md). 2014;22(5):1332-6.
  23. Eren C, Cecen S. The relationship between childhood obesity with inflammatory mediators. J Pak Med Assoc. 2020;70(10):1737-41.
  24. Hestiantoro A, Kapnosa Hasani RD, Shadrina A, Situmorang H, Ilma N, Muharam R, et al. Body fat percentage is a better marker than body mass index for determining inflammation status in polycystic ovary syndrome. International journal of reproductive biomedicine. 2018;16(10):623-8.
  25. Hildebrandt X, Ibrahim M, Peltzer N. Cell death and inflammation during obesity: “Know my methods, WAT(son)”. Cell Death & Differentiation. 2023;30(2):279-92.
  26. Ellulu MS, Patimah I, Khaza’ai H, Rahmat A, Abed Y. Obesity and inflammation: the linking mechanism and the complications. Archives of Medical Science. 2017;13(4):851-63.
  27. Kirichenko TV, Markina YV, Bogatyreva AI, Tolstik TV, Varaeva YR, Starodubova AV. The Role of Adipokines in Inflammatory Mechanisms of Obesity. International Journal of Molecular Sciences. 2022;23(23):14982.
  28. Ömür SE, Zorlu Ç, Yılmaz M. Comparison of the Relationship Between Inflammatory Markers and Atrial Fibrillation Burden. Anatolian journal of cardiology. 2023;27(8):486-93.
  29. Cao Y, Li P, Zhang Y, Qiu M, Li J, Ma S, et al. Association of systemic immune inflammatory index with all-cause and cause-specific mortality in hypertensive individuals: Results from NHANES. Frontiers in Immunology. 2023;14.
  30. Üstündağ Y. Relationship between CRP, systemic immune-inflammation index and routine hemogram related inflammatory markers in low grade inflammation. International Journal of Medical Biochemistry. 2018.
  31. Cao Y, Li P, Zhang Y, Qiu M, Li J, Ma S, et al. Association of systemic immune inflammatory index with all-cause and cause-specific mortality in hypertensive individuals: Results from NHANES. Front Immunol. 2023;14:1087345.
  32. Yang C, Yang Q, Xie Z, Peng X, Liu H, Xie C. Association of systemic immune-inflammation-index with all-cause and cause-specific mortality among type 2 diabetes: a cohort study base on population. Endocrine. 2023.
Journal of Nutrition,Fasting and Health

Articles in Press, Accepted Manuscript
Available Online from 11 May 2024

Files

History

  • Receive Date: 07 May 2024
  • Revise Date: 11 May 2024
  • Accept Date: 11 May 2024

Share

How to cite

Statistics