{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T13:35:51Z","timestamp":1793885751124,"version":"4.8.0"},"reference-count":54,"publisher":"BMJ","issue":"11","license":[{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"unspecified","delay-in-days":25,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2024,10,21]]},"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aims to investigate the association of physical activity (PA) and sedentary behaviour (SB) with chronic kidney disease (CKD), and to illustrate whether inflammatory biomarkers play a mediating role.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>A cross-sectional study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>This study analysed cross-sectional data from the National Health and Nutrition Examination Survey 2007\u20132018.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>A total of 27\u2009808 participants aged 20\u201380 years old were enrolled in the final analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Outcome measures<\/jats:title>\n                    <jats:p>\n                      PA and SB were self-reported by participants using the Global Physical Activity Questionnaire. Inflammatory biomarkers including neutrophil\/lymphocyte ratio (NLR), platelet\/lymphocyte ratio (PLR) and systemic immune inflammation index (SII) were examined in subjects\u2019 peripheral blood samples. Estimated glomerular filtration rate &lt;60\u2009mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      was defined as CKD. Multivariable logistic regression and medication model were performed to examine the associations of PA, SB and inflammatory biomarkers with CKD.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>PA was associated with CKD, with a 20% lower OR of CKD compared with inactive (p=0.002) and a 2% lower OR per 30\u2009min moderate-to-vigorous PA increase (p=0.027). SB was also associated with CKD, with a significant 39% higher OR for high SB (p&lt;0.001), and a 3% higher OR per 30\u2009min SB increase (p&lt;0.001). NLR and SII both significantly mediated the association of PA and SB with CKD. NLR explained 1.87% (medication effect: \u22120.0003, direct effect: \u22120.0162) and 2.73% (medication effect: 0.0005, direct effect: 0.0192) association of PA and SB with CKD (p&lt;0.001), respectively. While SII explained 1.77% (medication effect: \u22120.0003, direct effect: \u22120.0162) and 1.22% (medication effect: 0.0002, direct effect: 0.0199) association of PA and SB with CKD (p&lt;0.001), respectively. The results did not show any statistical association between PLR and CKD in this sample.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This finding revealed increasing PA and shortening SB may be effective strategies in CKD prevention and early management through the regulation of systemic inflammation. NLR and SII may not only be prognostic indicators of CKD, but also novel potential markers in predicting CKD occurrence.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2024-084920","type":"journal-article","created":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T04:31:03Z","timestamp":1732768263000},"page":"e084920","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":6,"title":["Mediating role of inflammatory biomarkers on the association of physical activity, sedentary behaviour with chronic kidney disease: a cross-sectional study in NHANES 2007\u20132018"],"prefix":"10.1136","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0186-6249","authenticated-orcid":false,"given":"Pan","family":"Peng","sequence":"first","affiliation":[{"name":"Ezhou High School, Ezhou, Hubei, China"},{"name":"Emilio Aguinaldo College, Manila, Philippines"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhisheng","family":"Liu","sequence":"additional","affiliation":[{"name":"Huanggang Normal University, Huanggang, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2024,11,27]]},"reference":[{"key":"2025121600205571000_14.11.e084920.1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30925-9"},{"key":"2025121600205571000_14.11.e084920.2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(18)31694-5"},{"key":"2025121600205571000_14.11.e084920.3","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1001\/jamainternmed.2022.6817","article-title":"Prevalence of Chronic Kidney Disease in China: Results From the Sixth China Chronic Disease and Risk Factor Surveillance","volume":"183","author":"Wang","year":"2023","journal-title":"JAMA Intern Med"},{"key":"2025121600205571000_14.11.e084920.4","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s10654-022-00961-7","article-title":"Physical activity and risk of chronic kidney disease: systematic review and meta-analysis of 12 cohort studies involving 1,281,727 participants","volume":"38","author":"Seidu","year":"2023","journal-title":"Eur J Epidemiol"},{"key":"2025121600205571000_14.11.e084920.5","first-page":"102323","article-title":"Association between questionnaire-based and accelerometer-based physical activity and the incidence of chronic kidney disease using data from UK Biobank: a prospective cohort study","volume":"66","author":"Zhang","year":"2023","journal-title":"eClinMed"},{"key":"2025121600205571000_14.11.e084920.6","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.jshs.2023.07.004","article-title":"Association of physical activity with risk of chronic kidney disease in China: A population-based cohort study","volume":"13","author":"Shi","year":"2024","journal-title":"J Sport Health Sci"},{"key":"2025121600205571000_14.11.e084920.7","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1002\/jcsm.13167","article-title":"High physical activity alleviates the adverse effect of higher sedentary time on the incidence of chronic kidney disease","volume":"14","author":"Oh","year":"2023","journal-title":"J Cachexia Sarcopenia Muscle"},{"key":"2025121600205571000_14.11.e084920.8","doi-asserted-by":"crossref","DOI":"10.1186\/s12889-022-14929-5","article-title":"Association between sedentary behavior and chronic kidney disease in Korean adults","volume":"23","author":"Jang","year":"2023","journal-title":"BMC Public Health"},{"key":"2025121600205571000_14.11.e084920.9","doi-asserted-by":"crossref","unstructured":"Zhao X , Wang T , Zhou L . 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