Association Between Domain‐Specific Physical Activity and Novel Inflammatory Biomarkers Among US Adults: Insights From NHANES 2007–2018
Objectives: The novel inflammatory biomarkers, including systemic immune‐inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil‐to‐lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activi...
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| Published in | Mediators of inflammation Vol. 2025; no. 1; p. 1989715 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
United States
John Wiley & Sons, Inc
01.01.2025
Wiley |
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| Online Access | Get full text |
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| Abstract | Objectives: The novel inflammatory biomarkers, including systemic immune‐inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil‐to‐lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activity (PA) domains on systemic inflammation remains unclear. The study aims to investigate the relationship between domain‐specific moderate‐to‐vigorous‐intensity PA (MVPA) and these inflammatory biomarkers among US adults.
Methods: Participants from the US National Health and Nutrition Examination Survey (NHANES) (2007–2018) were included in this study. The Global Physical Activity Questionnaire was used to assess self‐reported MVPA. MVPA was categorized into three domains, including occupation‐related MVPA (O‐MVPA), transportation‐related MVPA (T‐MVPA), and leisure‐time‐related MVPA (LT‐MVPA). SII, SIRI, and NLR were derived from the complete blood count results obtained at the NHANES Mobile Examination Centers (MEC). Weighted multivariable linear regression and propensity score matching (PSM) were used to examine the relationship between domain‐specific MVPA and inflammatory biomarkers. Additionally, stratified and mediation analyses were performed to assess potential effect modifications and mediators in this association.
Results: The study included a total of 29,072 participants. Following PSM, weighted multivariable linear regression indicated a negative association between LT‐MVPA meeting PA guidelines ( ≥ 150 min/week) and circulating inflammatory biomarkers ( β = −36, 95% confidence interval [CI]: −47 to −25, p < 0.001 for SII; β = −0.09, 95% CI: −0.13 to −0.05, p < 0.001 for SIRI; β = −0.08, 95% CI: −0.11 to −0.05, p < 0.001 for NLR, respectively), adjusting for all potential covariates in model 2. Participants engaging in sufficient T‐MVPA (≥ 150 min/week) also exhibited lower SII and SIRI levels ( β = −17, 95% CI: −32 to −2.4, p = 0.023; β = −0.07, 95% CI: −0.11 to −0.03, p = 0.002). Conversely, O‐MVPA showed no significant correlation with any inflammatory biomarkers (all p > 0.05). No significant effect modification was observed in the association between LT‐MVPA or T‐MVPA and inflammatory biomarkers (SII, SIRI, and NLR). Mediation analysis showed that body mass index (BMI) mediated the relationships between these inflammatory biomarkers and both LT‐MVPA and T‐MVPA.
Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well‐established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses. |
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| AbstractList | The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activity (PA) domains on systemic inflammation remains unclear. The study aims to investigate the relationship between domain-specific moderate-to-vigorous-intensity PA (MVPA) and these inflammatory biomarkers among US adults.
Participants from the US National Health and Nutrition Examination Survey (NHANES) (2007-2018) were included in this study. The Global Physical Activity Questionnaire was used to assess self-reported MVPA. MVPA was categorized into three domains, including occupation-related MVPA (O-MVPA), transportation-related MVPA (T-MVPA), and leisure-time-related MVPA (LT-MVPA). SII, SIRI, and NLR were derived from the complete blood count results obtained at the NHANES Mobile Examination Centers (MEC). Weighted multivariable linear regression and propensity score matching (PSM) were used to examine the relationship between domain-specific MVPA and inflammatory biomarkers. Additionally, stratified and mediation analyses were performed to assess potential effect modifications and mediators in this association.
The study included a total of 29,072 participants. Following PSM, weighted multivariable linear regression indicated a negative association between LT-MVPA meeting PA guidelines ( ≥ 150 min/week) and circulating inflammatory biomarkers (
= -36, 95% confidence interval [CI]: -47 to -25,
< 0.001 for SII;
= -0.09, 95% CI: -0.13 to -0.05,
< 0.001 for SIRI;
= -0.08, 95% CI: -0.11 to -0.05,
< 0.001 for NLR, respectively), adjusting for all potential covariates in model 2. Participants engaging in sufficient T-MVPA (≥ 150 min/week) also exhibited lower SII and SIRI levels (
= -17, 95% CI: -32 to -2.4,
=0.023;
= -0.07, 95% CI: -0.11 to -0.03,
=0.002). Conversely, O-MVPA showed no significant correlation with any inflammatory biomarkers (all
> 0.05). No significant effect modification was observed in the association between LT-MVPA or T-MVPA and inflammatory biomarkers (SII, SIRI, and NLR). Mediation analysis showed that body mass index (BMI) mediated the relationships between these inflammatory biomarkers and both LT-MVPA and T-MVPA.
The impact of different PA domains on systemic inflammation varies significantly. Given the well-established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses. Objectives: The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activity (PA) domains on systemic inflammation remains unclear. The study aims to investigate the relationship between domain-specific moderate-to-vigorous-intensity PA (MVPA) and these inflammatory biomarkers among US adults.Methods: Participants from the US National Health and Nutrition Examination Survey (NHANES) (2007–2018) were included in this study. The Global Physical Activity Questionnaire was used to assess self-reported MVPA. MVPA was categorized into three domains, including occupation-related MVPA (O-MVPA), transportation-related MVPA (T-MVPA), and leisure-time-related MVPA (LT-MVPA). SII, SIRI, and NLR were derived from the complete blood count results obtained at the NHANES Mobile Examination Centers (MEC). Weighted multivariable linear regression and propensity score matching (PSM) were used to examine the relationship between domain-specific MVPA and inflammatory biomarkers. Additionally, stratified and mediation analyses were performed to assess potential effect modifications and mediators in this association.Results: The study included a total of 29,072 participants. Following PSM, weighted multivariable linear regression indicated a negative association between LT-MVPA meeting PA guidelines ( ≥ 150 min/week) and circulating inflammatory biomarkers (β = −36, 95% confidence interval [CI]: −47 to −25, p <0.001 for SII; β = −0.09, 95% CI: −0.13 to −0.05, p <0.001 for SIRI; β = −0.08, 95% CI: −0.11 to −0.05, p <0.001 for NLR, respectively), adjusting for all potential covariates in model 2. Participants engaging in sufficient T-MVPA (≥ 150 min/week) also exhibited lower SII and SIRI levels (β = −17, 95% CI: −32 to −2.4, p=0.023; β = −0.07, 95% CI: −0.11 to −0.03, p=0.002). Conversely, O-MVPA showed no significant correlation with any inflammatory biomarkers (all p >0.05). No significant effect modification was observed in the association between LT-MVPA or T-MVPA and inflammatory biomarkers (SII, SIRI, and NLR). Mediation analysis showed that body mass index (BMI) mediated the relationships between these inflammatory biomarkers and both LT-MVPA and T-MVPA.Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well-established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses. Objectives: The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activity (PA) domains on systemic inflammation remains unclear. The study aims to investigate the relationship between domain-specific moderate-to-vigorous-intensity PA (MVPA) and these inflammatory biomarkers among US adults. Methods: Participants from the US National Health and Nutrition Examination Survey (NHANES) (2007-2018) were included in this study. The Global Physical Activity Questionnaire was used to assess self-reported MVPA. MVPA was categorized into three domains, including occupation-related MVPA (O-MVPA), transportation-related MVPA (T-MVPA), and leisure-time-related MVPA (LT-MVPA). SII, SIRI, and NLR were derived from the complete blood count results obtained at the NHANES Mobile Examination Centers (MEC). Weighted multivariable linear regression and propensity score matching (PSM) were used to examine the relationship between domain-specific MVPA and inflammatory biomarkers. Additionally, stratified and mediation analyses were performed to assess potential effect modifications and mediators in this association. Results: The study included a total of 29,072 participants. Following PSM, weighted multivariable linear regression indicated a negative association between LT-MVPA meeting PA guidelines (≥150min/week) and circulating inflammatory biomarkers (β =-36, 95% confidence interval [CI]: -47 to -25, p<0.001 for SII; β =-0.09, 95% CI: -0.13 to -0.05, p<0.001 for SIRI; β =-0.08, 95% CI: -0.11 to -0.05, p<0.001 for NLR, respectively), adjusting for all potential covariates in model 2. Participants engaging in sufficient T-MVPA (≥150min/week) also exhibited lower SII and SIRI levels (β =-17, 95% CI: -32 to -2.4, p=0.023; β =-0.07, 95% CI: -0.11 to -0.03, p=0.002). Conversely, O-MVPA showed no significant correlation with any inflammatory biomarkers (all p>0.05). No significant effect modification was observed in the association between LT-MVPA or T-MVPA and inflammatory biomarkers (SII, SIRI, and NLR). Mediation analysis showed that body mass index (BMI) mediated the relationships between these inflammatory biomarkers and both LT-MVPA and T-MVPA. Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well-established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses. Keywords: leisure-time-related physical activity, lymphocytes ratio, NHANES, physical activity, systemic immune-inflammation index, systemic inflammation response index Objectives: The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activity (PA) domains on systemic inflammation remains unclear. The study aims to investigate the relationship between domain-specific moderate-to-vigorous-intensity PA (MVPA) and these inflammatory biomarkers among US adults. Methods: Participants from the US National Health and Nutrition Examination Survey (NHANES) (2007–2018) were included in this study. The Global Physical Activity Questionnaire was used to assess self-reported MVPA. MVPA was categorized into three domains, including occupation-related MVPA (O-MVPA), transportation-related MVPA (T-MVPA), and leisure-time-related MVPA (LT-MVPA). SII, SIRI, and NLR were derived from the complete blood count results obtained at the NHANES Mobile Examination Centers (MEC). Weighted multivariable linear regression and propensity score matching (PSM) were used to examine the relationship between domain-specific MVPA and inflammatory biomarkers. Additionally, stratified and mediation analyses were performed to assess potential effect modifications and mediators in this association. Results: The study included a total of 29,072 participants. Following PSM, weighted multivariable linear regression indicated a negative association between LT-MVPA meeting PA guidelines ( ≥ 150 min/week) and circulating inflammatory biomarkers ( β = −36, 95% confidence interval [CI]: −47 to −25, p < 0.001 for SII; β = −0.09, 95% CI: −0.13 to −0.05, p < 0.001 for SIRI; β = −0.08, 95% CI: −0.11 to −0.05, p < 0.001 for NLR, respectively), adjusting for all potential covariates in model 2. Participants engaging in sufficient T-MVPA (≥ 150 min/week) also exhibited lower SII and SIRI levels ( β = −17, 95% CI: −32 to −2.4, p =0.023; β = −0.07, 95% CI: −0.11 to −0.03, p =0.002). Conversely, O-MVPA showed no significant correlation with any inflammatory biomarkers (all p > 0.05). No significant effect modification was observed in the association between LT-MVPA or T-MVPA and inflammatory biomarkers (SII, SIRI, and NLR). Mediation analysis showed that body mass index (BMI) mediated the relationships between these inflammatory biomarkers and both LT-MVPA and T-MVPA. Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well-established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses. Objectives: The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activity (PA) domains on systemic inflammation remains unclear. The study aims to investigate the relationship between domain-specific moderate-to-vigorous-intensity PA (MVPA) and these inflammatory biomarkers among US adults. Methods: Participants from the US National Health and Nutrition Examination Survey (NHANES) (2007-2018) were included in this study. The Global Physical Activity Questionnaire was used to assess self-reported MVPA. MVPA was categorized into three domains, including occupation-related MVPA (O-MVPA), transportation-related MVPA (T-MVPA), and leisure-time-related MVPA (LT-MVPA). SII, SIRI, and NLR were derived from the complete blood count results obtained at the NHANES Mobile Examination Centers (MEC). Weighted multivariable linear regression and propensity score matching (PSM) were used to examine the relationship between domain-specific MVPA and inflammatory biomarkers. Additionally, stratified and mediation analyses were performed to assess potential effect modifications and mediators in this association. Results: The study included a total of 29,072 participants. Following PSM, weighted multivariable linear regression indicated a negative association between LT-MVPA meeting PA guidelines ( ≥ 150 min/week) and circulating inflammatory biomarkers (β = -36, 95% confidence interval [CI]: -47 to -25, p < 0.001 for SII; β = -0.09, 95% CI: -0.13 to -0.05, p < 0.001 for SIRI; β = -0.08, 95% CI: -0.11 to -0.05, p < 0.001 for NLR, respectively), adjusting for all potential covariates in model 2. Participants engaging in sufficient T-MVPA (≥ 150 min/week) also exhibited lower SII and SIRI levels (β = -17, 95% CI: -32 to -2.4, p=0.023; β = -0.07, 95% CI: -0.11 to -0.03, p=0.002). Conversely, O-MVPA showed no significant correlation with any inflammatory biomarkers (all p > 0.05). No significant effect modification was observed in the association between LT-MVPA or T-MVPA and inflammatory biomarkers (SII, SIRI, and NLR). Mediation analysis showed that body mass index (BMI) mediated the relationships between these inflammatory biomarkers and both LT-MVPA and T-MVPA. Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well-established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses.Objectives: The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activity (PA) domains on systemic inflammation remains unclear. The study aims to investigate the relationship between domain-specific moderate-to-vigorous-intensity PA (MVPA) and these inflammatory biomarkers among US adults. Methods: Participants from the US National Health and Nutrition Examination Survey (NHANES) (2007-2018) were included in this study. The Global Physical Activity Questionnaire was used to assess self-reported MVPA. MVPA was categorized into three domains, including occupation-related MVPA (O-MVPA), transportation-related MVPA (T-MVPA), and leisure-time-related MVPA (LT-MVPA). SII, SIRI, and NLR were derived from the complete blood count results obtained at the NHANES Mobile Examination Centers (MEC). Weighted multivariable linear regression and propensity score matching (PSM) were used to examine the relationship between domain-specific MVPA and inflammatory biomarkers. Additionally, stratified and mediation analyses were performed to assess potential effect modifications and mediators in this association. Results: The study included a total of 29,072 participants. Following PSM, weighted multivariable linear regression indicated a negative association between LT-MVPA meeting PA guidelines ( ≥ 150 min/week) and circulating inflammatory biomarkers (β = -36, 95% confidence interval [CI]: -47 to -25, p < 0.001 for SII; β = -0.09, 95% CI: -0.13 to -0.05, p < 0.001 for SIRI; β = -0.08, 95% CI: -0.11 to -0.05, p < 0.001 for NLR, respectively), adjusting for all potential covariates in model 2. Participants engaging in sufficient T-MVPA (≥ 150 min/week) also exhibited lower SII and SIRI levels (β = -17, 95% CI: -32 to -2.4, p=0.023; β = -0.07, 95% CI: -0.11 to -0.03, p=0.002). Conversely, O-MVPA showed no significant correlation with any inflammatory biomarkers (all p > 0.05). No significant effect modification was observed in the association between LT-MVPA or T-MVPA and inflammatory biomarkers (SII, SIRI, and NLR). Mediation analysis showed that body mass index (BMI) mediated the relationships between these inflammatory biomarkers and both LT-MVPA and T-MVPA. Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well-established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses. Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well-established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses. Objectives: The novel inflammatory biomarkers, including systemic immune‐inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil‐to‐lymphocyte ratio (NLR), can contribute to predicting the future risk of various diseases. However, the impact of different physical activity (PA) domains on systemic inflammation remains unclear. The study aims to investigate the relationship between domain‐specific moderate‐to‐vigorous‐intensity PA (MVPA) and these inflammatory biomarkers among US adults. Methods: Participants from the US National Health and Nutrition Examination Survey (NHANES) (2007–2018) were included in this study. The Global Physical Activity Questionnaire was used to assess self‐reported MVPA. MVPA was categorized into three domains, including occupation‐related MVPA (O‐MVPA), transportation‐related MVPA (T‐MVPA), and leisure‐time‐related MVPA (LT‐MVPA). SII, SIRI, and NLR were derived from the complete blood count results obtained at the NHANES Mobile Examination Centers (MEC). Weighted multivariable linear regression and propensity score matching (PSM) were used to examine the relationship between domain‐specific MVPA and inflammatory biomarkers. Additionally, stratified and mediation analyses were performed to assess potential effect modifications and mediators in this association. Results: The study included a total of 29,072 participants. Following PSM, weighted multivariable linear regression indicated a negative association between LT‐MVPA meeting PA guidelines ( ≥ 150 min/week) and circulating inflammatory biomarkers ( β = −36, 95% confidence interval [CI]: −47 to −25, p < 0.001 for SII; β = −0.09, 95% CI: −0.13 to −0.05, p < 0.001 for SIRI; β = −0.08, 95% CI: −0.11 to −0.05, p < 0.001 for NLR, respectively), adjusting for all potential covariates in model 2. Participants engaging in sufficient T‐MVPA (≥ 150 min/week) also exhibited lower SII and SIRI levels ( β = −17, 95% CI: −32 to −2.4, p = 0.023; β = −0.07, 95% CI: −0.11 to −0.03, p = 0.002). Conversely, O‐MVPA showed no significant correlation with any inflammatory biomarkers (all p > 0.05). No significant effect modification was observed in the association between LT‐MVPA or T‐MVPA and inflammatory biomarkers (SII, SIRI, and NLR). Mediation analysis showed that body mass index (BMI) mediated the relationships between these inflammatory biomarkers and both LT‐MVPA and T‐MVPA. Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well‐established link between chronic inflammation and diseases such as cardiovascular disease (CVD), diabetes, and metabolic disorders, specific recommendations for PA categories should be provided, particularly targeting individuals with high systemic inflammatory responses. |
| Audience | Academic |
| Author | Yao, Kai Liu, Xin-ying |
| AuthorAffiliation | 1 Endoscopy Center, Jinshan Hospital, Fudan University, Shanghai 201508, China 2 Department of Neurology, Jinshan Hospital, Fudan University, Shanghai 201508, China |
| AuthorAffiliation_xml | – name: 1 Endoscopy Center, Jinshan Hospital, Fudan University, Shanghai 201508, China – name: 2 Department of Neurology, Jinshan Hospital, Fudan University, Shanghai 201508, China |
| Author_xml | – sequence: 1 givenname: Xin-ying orcidid: 0009-0004-3876-8514 surname: Liu fullname: Liu, Xin-ying – sequence: 2 givenname: Kai orcidid: 0000-0001-7772-6991 surname: Yao fullname: Yao, Kai |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40599559$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | Copyright © 2025 Xin-ying Liu and Kai Yao. Mediators of Inflammation published by John Wiley & Sons Ltd. COPYRIGHT 2025 John Wiley & Sons, Inc. Copyright © 2025 Xin-ying Liu and Kai Yao. Mediators of Inflammation published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (the “License”), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2025 Xin-ying Liu and Kai Yao. Mediators of Inflammation published by John Wiley & Sons Ltd. 2025 |
| Copyright_xml | – notice: Copyright © 2025 Xin-ying Liu and Kai Yao. Mediators of Inflammation published by John Wiley & Sons Ltd. – notice: COPYRIGHT 2025 John Wiley & Sons, Inc. – notice: Copyright © 2025 Xin-ying Liu and Kai Yao. Mediators of Inflammation published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (the “License”), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 – notice: Copyright © 2025 Xin-ying Liu and Kai Yao. Mediators of Inflammation published by John Wiley & Sons Ltd. 2025 |
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| DOI | 10.1155/mi/1989715 |
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| Keywords | systemic immune-inflammation index systemic inflammation response index NHANES lymphocytes ratio leisure-time-related physical activity physical activity |
| Language | English |
| License | Copyright © 2025 Xin-ying Liu and Kai Yao. Mediators of Inflammation published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
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| Snippet | Objectives: The novel inflammatory biomarkers, including systemic immune‐inflammation index (SII), systemic inflammation response index (SIRI), and... The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and... Objectives: The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and... Objectives: The novel inflammatory biomarkers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and... Conclusions: The impact of different PA domains on systemic inflammation varies significantly. Given the well-established link between chronic inflammation and... |
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| Title | Association Between Domain‐Specific Physical Activity and Novel Inflammatory Biomarkers Among US Adults: Insights From NHANES 2007–2018 |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/40599559 https://www.proquest.com/docview/3227459693 https://www.proquest.com/docview/3226358650 https://pubmed.ncbi.nlm.nih.gov/PMC12213052 https://doaj.org/article/2f4a4996ba9c44a3b18637c2b5908df4 |
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