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Association between physical activity and inflammatory markers in college students
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Tangjun JIANG1, Tingting LI1, Shuman TAO1, 2, Liwei ZOU1, 2, Yajuan YANG1, 2, Fangbiao TAO1, 2, Xiaoyan WU*, 1, 2
Chinese Journal of School Health | 2025, 46(6) : 847 - 851
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Chinese Journal of School Health | 2025, 46(6): 847-851
• Disease Control •
Association between physical activity and inflammatory markers in college students
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Tangjun JIANG1, Tingting LI1, Shuman TAO1, 2, Liwei ZOU1, 2, Yajuan YANG1, 2, Fangbiao TAO1, 2, Xiaoyan WU*, 1, 2
Affiliations
  • 1Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei (230032), Anhui Province, China
Published: 2025-06-25 doi: 10.16835/j.cnki.1000-9817.2025186
Outline
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Objective

To analyze the association and dose-response relationship between physical activity and inflammatory markers in college students, so as to provide a reference for promoting cardiometabolic health in college students.

Methods

A cluster random sampling method was used to select 747 college students from two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province from April to May 2019. Physical activity was assessed by using the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and peripheral blood was collected to detect plasma inflammatory factor levels [including hypersensitive C-reactive protein (hsCRP), interleukin-10 (IL-10), interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α)]. The differences between the groups were compared by using the χ2 test and the Kruskal-Wallis rank sum test, and the association between physical activity and inflammatory markers was analyzed by using the Generalized Linear Model. The dose-response relationship between physical activity and inflammatory markers was analyzed using the Restricted Cubic Spline Model.

Results

The proportions of low physical activity, moderate physical activity, and high physical activity groups of college students were 15.9%, 53.7% and 30.4%, respectively. The levels of hsCRP, IL-10, IL-1β, IL-6 and TNF-α in the high physical activity group were 0.38(0.21, 1.10)mg/L, 70.74(47.90, 116.43)pg/mL, 1.75(1.21, 2.64)pg/mL, 4.33(2.93, 6.82)pg/mL, 5.27(3.89, 7.30)pg/mL, the levels in the low physical activity group were 0.80(0.31, 1.30)mg/L, 73.88(47.90, 124.24)pg/mL, 1.88(1.42, 2.81) pg/mL, 4.82 (3.64, 6.67) pg/mL, 5.63 (4.34, 7.62)pg/mL, the levels in the moderate physical activity group were 0.63(0.25, 1.30)mg/L, 89.78(58.21, 127.65)pg/mL, 2.21(1.59, 3.27)pg/mL, 5.15(3.72, 7.72)pg/mL, 5.87(4.63, 8.00)g/mL, and the differences were statistically significant (H=10.66, 11.38, 27.79, 14.13, 9.44, P < 0.05). After adjusting for variables such as gender, body mass index, smoking, alcohol consumption and health status, the results of Generalized Linear Model showed that compared with the high physical activity group, the low physical activity group (OR=2.20, 95%CI=1.46-3.31) and the moderate physical activity group (OR=1.65, 95%CI=1.22-2.25) were more likely to have high levels of hsCRP, and the moderate physical activity group was more likely to have high levels of IL-1β (OR=1.85, 95%CI=1.36-2.51), IL-6 (OR=1.44, 95%CI=1.06-1.96), and TNF-α (OR=1.43, 95%CI=1.05-1.94) (P < 0.05). The Restricted Cubic Spline Model showed that there was no linear dose-response relationship between the time of moderate-to-vigorous physical activity weekly and IL-10, IL-6, II-1β, and TNF-α (P < 0.05).

Conclusion

There is an association between physical activity and inflammation in college students, and moderate to high intensity per week could reduce inflammation levels to promote cardiometabolic health in college students.

Motor activity  /  Cytokines  /  Dose-response relationship  /  Students
江唐军, 李婷婷, 陶舒曼, 邹立巍, 杨娅娟, 陶芳标, 伍晓艳. 大学生体力活动与炎症标志物的关联. 中国学校卫生, 2025 , 46 (6) : 847 -851 . DOI: 10.16835/j.cnki.1000-9817.2025186
Tangjun JIANG, Tingting LI, Shuman TAO, Liwei ZOU, Yajuan YANG, Fangbiao TAO, Xiaoyan WU. Association between physical activity and inflammatory markers in college students[J]. Chinese Journal of School Health, 2025 , 46 (6) : 847 -851 . DOI: 10.16835/j.cnki.1000-9817.2025186
Year 2025 volume 46 Issue 6
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doi: 10.16835/j.cnki.1000-9817.2025186
  • Receive Date:2025-02-14
  • Online Date:2026-11-06
  • Published:2025-06-25
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  • Received:2025-02-14
  • Revised:2025-06-02
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    1Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei (230032), Anhui Province, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
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Percentage of
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属
Genus
种数
Number of
species
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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