Physical activity attenuates the associations of systemic immune-inflammation index with total and cause-specific mortality among middle-aged and older populations

Li, Hang; Wu, Xiulong; Bai, Yansen; Wei, Wei; Li, Guyanan; Fu, Ming; Jie, Jiali; Wang, Chenming; Guan, Xin; Feng, Yue; Meng, Hua; Li, Mengying; He, Meian; Zhang, Xiaomin; Guo, Huan

doi:10.1038/s41598-021-91324-x

Cited by 31 publications

(26 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other researchers think it can be used as an indicator of the progression of a certain disease. The study by Li et al [ 13 ] suggested that high SII levels may increase overall mortality and cardiovascular disease mortality in the general population, using NHANES follow-up data from 1999 to 2014. He et al [ 12 ] showed a correlation between SII and all-cause mortality in the US arteriosclerotic cardiovascular disease (ASCVD) population.…”

Section: Discussionmentioning

confidence: 99%

“…It is calculated using a formula that takes into account the levels of certain immune system markers in the blood, The calculation formula is platelets × neutrophils ÷ lymphocytes [ 11 ]. The SII is often used as a predictor of mortality in patients with tumors, as higher SII values have been associated with an increased risk of death [ 10 , 12 , 13 ]. This may be related to the imbalance between the body’s tumor-promoting and anti-tumor factors in the tumor state.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The association between systemic immune-inflammation index and rheumatoid arthritis: evidence from NHANES 1999–2018

Liu

Wang

et al. 2023

Arthritis Res Ther

View full text Add to dashboard Cite

Purpose We aimed to explore the relationship between the systemic immune-inflammation index (SII) and rheumatoid arthritis (RA) using NHANES from 1999 to 2018. Methods We collected data from the NHANES database from 1999 to 2018. The SII is calculated from the counts of lymphocytes (LC), neutrophils (NC), and platelets (PC). The RA patients were derived from questionnaire data. We used weighted multivariate regression analysis and subgroup analysis to explore the relationship between SII and RA. Furthermore, the restricted cubic splines were used to explore the non-linear relationships. Result Our study included a total of 37,604 patients, of which 2642 (7.03%) had rheumatoid arthritis. After adjusting for all covariates, the multivariate logistic regression analysis showed that high SII (In-transform) levels were associated with an increased likelihood of rheumatoid arthritis (OR=1.167, 95% CI=1.025–1.328, P=0.020). The interaction test revealed no significant effect on this connection. In the restricted cubic spline regression model, the relationship between ln-SII and RA was non-linear. The cutoff value of SII for RA was 578.25. The risk of rheumatoid arthritis increases rapidly when SII exceeds the cutoff value. Conclusion In general, there is a positive correlation between SII and rheumatoid arthritis. Our study shows that SII is a novel, valuable, and convenient inflammatory marker that can be used to predict the risk of rheumatoid arthritis in US adults.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The association between systemic immune-inflammation index and rheumatoid arthritis: evidence from NHANES 1999–2018

Liu

Wang

et al. 2023

Arthritis Res Ther

View full text Add to dashboard Cite

show abstract

“…According to the instructions for using NHANES data, we accounted for complex survey design factors, such as clustering, stratification, and dietary weight at day one of the survey [18]. Public-use Linked Mortality Files contain the follow-up time from the in-person interview survey, and were used to assess person-time to death [19]. For continuous variables, means and standard errors were presented, while counts and proportions (after weighting) were presented for categorical variables [20].…”

Section: Discussionmentioning

confidence: 99%

Association between niacin and mortality among patients with cancer in the NHANES retrospective cohort

et al. 2022

View full text Add to dashboard Cite

Background The vitamin niacin is used as a lipid-regulating supplement, but it is unknown whether niacin has a positive influence on cancer prognosis. In this study, we examine the relationship between niacin intake and mortality among patients with cancer. Methods Our study utilized all available continuous data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014. Multivariable Cox regression models were applied in order to investigate dietary niacin intake’s association with mortality. We compared the survival probability between groups of low and high niacin intake by plotting Kaplan-Meier curves. An analysis of subgroups was used to investigate heterogeneity sources. Results A total of 3504 participants were included in the cohort, with 1054 deaths. One thousand eight hundred forty-seven participants (52.3%) were female, 2548 participants (73.4%) were white, and the mean age (SE) was 65.38 years (0.32). According to multivariate logistic regression analysis, niacin intake was negatively associated with mortality outcomes in patients with cancer, with P values below 0.05 in all models. In subgroup analyses based on sex, age, and BMI, the association persisted. The Kaplan-Meier curves indicate that high niacin intake groups have better survival rates than low intake groups. Niacin supplementation improved cancer mortality but not all-cause mortality. Conclusion According to our study, higher dietary niacin intake was associated with lower mortality in cancer patients. Niacin supplements improved cancer survival rates, but not all causes of mortality.

show abstract

“…The blood analyzer provided white blood cell count, neutrophil count, lymphocyte count, and neutrophil-to-lymphocyte ratio (NLR). We additionally computed two hematological indexes for systemic in ammation, the systemic immunein ammation index (SII) and the aggregate index of systemic in ammation (AISI), using the following formulae 29,30 : SII = neutrophil x platelet/lymphocyte count AISI = neutrophil x monocyte x platelet/lymphocyte count.…”

Section: Serum In Ammatory Biomarker Measuresmentioning

confidence: 99%

Wearable-based Physical Activity as a Digital Biomarker of Inflammation, Biological Age, and Mortality: A Hierarchical Clustering Analysis of NHANES 2011-2014

Shim

Fleisch

Barata

2023

Preprint

View full text Add to dashboard Cite

Current measures of health and longevity are based on factors such as inflammation, biological age, and mortality. The potential of using continuously collected data from digital devices to explain these measures remains largely unstudied. In this work, we investigate a data-driven segmentation of the 24-hour physical activity profiles from wearables as a novel digital biomarker for longevity in 7,297 U.S. adults from the 2011–2014 National Health and Nutrition Examination Survey. Using hierarchical clustering, we identified five clusters and described them as follows: “High physical activity (PA)”, “Low PA”, “Mild circadian rhythm (CR) disruption”, “Extreme CR disruption”, and “Very low PA”. Young adults with extreme CR disturbance are seemingly healthy with few comorbid conditions, but in fact associated with higher white blood cell, neutrophils, and lymphocyte counts (0.05–0.07 log-unit, all p < 0.05) and accelerated biological aging (1.45 years, p < 0.001). Older adults with CR disruption are significantly associated with increased systemic inflammation indexes (0.09–0.13 log-unit, all p < 0.001), biological aging advance (1.31 years, p = 0.008), and all-cause mortality risk (HR = 1.67, p = 0.019). Our findings highlight the importance of circadian alignment on longevity across all ages and suggest that digitally measured physical activity data can help in identifying at-risk populations and personalize treatments for healthier aging.

show abstract

Physical activity attenuates the associations of systemic immune-inflammation index with total and cause-specific mortality among middle-aged and older populations

Cited by 31 publications

References 39 publications

The association between systemic immune-inflammation index and rheumatoid arthritis: evidence from NHANES 1999–2018

The association between systemic immune-inflammation index and rheumatoid arthritis: evidence from NHANES 1999–2018

Association between niacin and mortality among patients with cancer in the NHANES retrospective cohort

Wearable-based Physical Activity as a Digital Biomarker of Inflammation, Biological Age, and Mortality: A Hierarchical Clustering Analysis of NHANES 2011-2014

Contact Info

Product

Resources

About