大学生体力活动与炎症标志物的关联

江唐军; 李婷婷; 陶舒曼; 邹立巍; 杨娅娟; 陶芳标; 伍晓艳

doi:10.16835/j.cnki.1000-9817.2025186

大学生体力活动与炎症标志物的关联

doi: 10.16835/j.cnki.1000-9817.2025186

江唐军¹,
李婷婷¹,
陶舒曼^{1, 2},
邹立巍^{1, 2},
杨娅娟^{1, 2},
陶芳标^{1, 2},
伍晓艳^{1, 2, ,}

1.
安徽医科大学公共卫生学院儿少卫生与妇幼保健学系，合肥 230032
2.
出生人口健康教育部重点实验室/安徽省环境与人口健康重点实验室

基金项目:

国家自然科学基金项目 82173542

国家自然科学基金项目 82373592

安徽医科大学科研水平提升计划资助项目 2022xkjT004

详细信息

作者简介:
江唐军(1999-)，男，安徽安庆人，在读硕士，主要研究方向为儿童青少年健康

通讯作者:
伍晓艳，E-mail: xywu@ahmu.edu.cn

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 G806 R364.5
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- 被引次数: 0
出版历程
- 收稿日期: 2025-02-14
- 修回日期: 2025-06-02
- 网络出版日期: 2025-07-04
- 刊出日期: 2025-06-25

Association between physical activity and inflammatory markers in college students

JIANG Tangjun¹,
LI Tingting¹,
TAO Shuman^{1, 2},
ZOU Liwei^{1, 2},
YANG Yajuan^{1, 2},
TAO Fangbiao^{1, 2},
WU Xiaoyan^{1, 2
, ,}

1.
Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei (230032), Anhui Province, China

摘要

摘要: 目的分析大学生体力活动与炎症标志物的关联及剂量反应关系，为促进大学生心血管健康提供参考依据。方法采用整群随机抽样方法，于2019年4—5月在安徽省合肥市和江西省上饶市2所高校抽取747名大学生，使用国际体力活动问卷—短卷(IPAQ-SF)评估大学生体力活动，同时采集外周血检测血浆炎症因子水平[超敏C反应蛋白(hsCRP)、白介素-10(IL-10)、白介素-1β(IL-1β)、白介素-6(IL-6)、肿瘤坏死因子α(TNF-α)]。使用χ²检验和双侧Kruskal-Wallis秩和检验比较组间差异，采用广义线性模型和限制性立方样条模型分别分析体力活动与炎症标志物的关联及其剂量反应关系。结果大学生低、中、高体力活动组的占比分别为15.9%，53.7%，30.4%。hsCRP、IL-10、II-1β、IL-6、TNF-α水平在高体力活动组分别为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；低体力活动组分别为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；中体力活动组分别为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)pg/mL，差异均有统计学意义(H值分别为10.66，11.38，27.79，14.13，9.44，P值均 < 0.05)。广义线性模型结果显示，调整性别、体质量指数、吸烟、饮酒和健康状况等变量后，与高体力活动组相比，低体力活动(OR=2.20，95%CI=1.46~3.31)和中体力活动组(OR=1.65，95%CI=1.22~2.25)出现高水平hsCRP的可能性更高，中体力活动组出现高水平IL-1β(OR=1.85，95%CI=1.36~2.51)、IL-6(OR=1.44，95%CI=1.06~1.96)、TNF-α(OR=1.43，95%CI=1.05~1.94)的可能性更高(P值均 < 0.05)。限制性立方样条模型显示，每周中高强度体力活动时间与IL-10、IL-6、IL-1β和TNF-α之间存在非线性剂量反应关系(P值均 < 0.05)。结论大学生体力活动与炎症之间存在关联；中高强度体力活动有助于降低炎症水平，促进大学生心血管代谢健康。
- 运动活动 /
- 细胞因子类 /
- 剂量-反应关联 /
- 学生
Abstract: 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
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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图 1 大学生体力活动与炎症标志物的剂量反应关系

Figure 1. Dose-response relationship between physical activity and inflammatory markers in college students

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表 1 不同组别大学生体力活动水平分布比较

Table 1. Comparison of distribution of physical activity levels among college students with different groups

人口统计学指标	选项	人数	低体力活动	中体力活动	高体力活动	χ²值	P值
性别	男	248	42(16.9)	94(37.9)	112(45.2)	44.12	＜0.01
	女	499	77(15.4)	307(61.5)	115(23.0)
健康状况	好	445	61(13.7)	231(51.9)	153(34.4)	10.24	0.04
	一般	278	54(19.4)	155(55.8)	69(24.8)
	差	24	4(16.7)	15(62.5)	5(20.8)
BMI/(kg·m^-2)	＜18.5	123	17(13.8)	84(68.3)	22(17.9)	20.33	＜0.01
	18.5~＜24.0	555	94(16.9)	272(49.0)	189(34.1)
	≥24.0	69	8(11.6)	45(65.2)	16(23.2)
最近1个月吸烟天数/d	0	696	109(15.7)	388(55.7)	199(28.6)	19.39	＜0.01
最近1个月吸烟天数/d	≥1	51	10(19.6)	13(25.5)	28(54.9)
最近1个月饮酒天数/d	0	583	96(16.5)	332(56.9)	155(26.6)	18.38	＜0.01
最近1个月饮酒天数/d	≥1	164	23(14.0)	69(42.1)	72(43.9)
家庭经济条件	好	39	9(23.1)	18(46.2)	12(30.8)	5.62	0.23
	一般	542	79(14.6)	304(56.1)	159(29.3)
	差	166	31(18.7)	79(47.6)	56(33.7)
家庭居住地	农村	415	68(16.4)	218(52.5)	129(31.1)	1.35	0.85
	城镇	215	33(15.3)	115(53.5)	67(31.2)
	市区	117	18(15.4)	68(58.1)	31(26.5)
注：( )内数字为构成比/%。

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表 2 不同体力活动水平分组大学生炎症标志物水平比较[M(P₂₅, P₇₅)]

Table 2. Comparison of inflammatory marker levels in groups stratified by physical activity levels of college students[M(P₂₅, P₇₅)]

体力活动	人数	hsCRP/(mg·L^-1)	IL-10/(pg·L^-1)	IL-1β/(pg·L^-1)	IL-6/(pg·L^-1)	TNF-α/(pg·L^-1)
低	119	0.80(0.31，1.30)	73.88(47.90，124.24)	1.88(1.42，2.81)	4.82(3.64，6.67)	5.63(4.34，7.62)
中	401	0.63(0.25，1.30)	89.78(58.21，127.65)	2.21(1.59，3.27)	5.15(3.72，7.72)	5.87(4.63，8.00)
高	227	0.38(0.21，1.10)	70.74(47.90，116.43)	1.75(1.21，2.64)	4.33(2.93，6.82)	5.27(3.89，7.30)
H值		10.66	11.38	27.79	14.13	9.44
P值		＜0.01	＜0.01	＜0.01	＜0.01	＜0.01

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表 3 大学生体力活动水平与炎症标志物的关联[OR值(95%CI)，n=747]

Table 3. Associations between physical activity level and inflammatory markers in college students[OR(95%CI), n=747]

调整前后	自变量	hsCRP	IL-10	IL-1β	IL-6	TNF-α
调整前	低体力活动	2.03(1.36~3.03)^**	1.14(0.77~1.70)	1.37(0.92~2.04)	1.39(0.93~2.07)	1.29(0.87~1.93)
	中体力活动	1.58(1.18~2.12)^**	1.58(1.18~2.12)^**	2.21(1.64~2.98)^**	1.69(1.26~2.27)^**	1.56(1.16~2.09)^**
调整后	低体力活动	2.20(1.46~3.31)^**	0.99(0.66~1.49)	1.20(0.80~1.80)	1.28(0.85~1.92)	1.21(0.81~1.81)
	中体力活动	1.65(1.22~2.25)^**	1.34(0.99~1.82)	1.85(1.36~2.51)^**	1.44(1.06~1.96)^*	1.43(1.05~1.94)^*
注：^P＜0.05，^*P＜0.01。

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参考文献(30)

[1]	LIU C H, ABRAMS N D, CARRICK D M, et al. Biomarkers of chronic inflammation in disease development and prevention: challenges and opportunities[J]. Nat Immunol, 2017, 18(11): 1175-1180. doi: 10.1038/ni.3828
[2]	RUIZ-CANELA M, BES-RASTROLLO M, MARTÍNEZ-GONZÁL-EZ M A. The role of dietary inflammatory index in cardiovascular disease, metabolic syndrome and mortality[J]. Int J Mol Sci, 2016, 17(8): 1265. doi: 10.3390/ijms17081265
[3]	GLEESON M, BISHOP N C, STENSEL D J, et al. The anti-inflammatory effects of exercise: mechanisms and implications for the prevention and treatment of disease[J]. Nat Rev Immunol, 2011, 11(9): 607-615. doi: 10.1038/nri3041
[4]	AREM H, MOORE S C, PATEL A, et al. Leisure time physical activity and mortality: a detailed pooled analysis of the dose-response relationship[J]. JAMA Intern Med, 2015, 175(6): 959-967. doi: 10.1001/jamainternmed.2015.0533
[5]	JEONG S W, KIM S H, KANG S H, et al. Mortality reduction with physical activity in patients with and without cardiovascular disease[J]. Eur Heart J, 2019, 40(43): 3547-3555. doi: 10.1093/eurheartj/ehz564
[6]	HAMER M. The relative influences of fitness and fatness on inflammatory factors[J]. Prev Med, 2007, 44(1): 3-11. doi: 10.1016/j.ypmed.2006.09.005
[7]	BULL F C, AL-ANSARI S S, BIDDLE S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour[J]. Br J Sports Med, 2020, 54(24): 1451-1462. doi: 10.1136/bjsports-2020-102955
[8]	WEST A B, BOMYSOAD R N, RUSSELL M A, et al. Daily physical activity, sedentary behavior and alcohol use in at-risk college students[J]. Ann Behav Med, 2022, 56(7): 712-725. doi: 10.1093/abm/kaab085
[9]	YOU T, ARSENIS N C, DISANZO B L, et al. Effects of exercise training on chronic inflammation in obesity: current evidence and potential mechanisms[J]. Sports Med, 2013, 43: 243-256. doi: 10.1007/s40279-013-0023-3
[10]	BEAVERS K M, BRINKLEY T E, NICKLAS B J. Effect of exercise training on chronic inflammation[J]. Clin Chim Acta, 2010, 411(11/12): 785-793.
[11]	中华人民共和国国家卫生和计划生育委员会. 成人体重判定: WS/T 428—2013[S]. 北京: 中国标准出版社, 2013: 1-2. National Health and Family Planning Commission of the PRC. Criteria of weight for adults: WS/T 428-2013[S]. Beijing: Standards Press of China, 2013: 1-2. (in Chinese)
[12]	CRAIG C L, MARSHALL A L, SJÖSTRÖM M, et al. International Physical Activity Questionnaire: 12-country reliability and validity[J]. Med Sci Sports Exerc, 2003, 35(8): 1381-1395. doi: 10.1249/01.MSS.0000078924.61453.FB
[13]	AINSWORTH B E, HASKELL W L, WHITT M C, et al. Compendium of physical activities: an update of activity codes and MET intensities[J]. Med Sci Sports Exerc, 2000, 32(9 Suppl): S498-S504.
[14]	PUCIATO D, BORYSIUK Z, ROZPARA M. Quality of life and physical activity in an older working-age population[J]. Clin Interv Aging, 2017, 12: 1627-1634. doi: 10.2147/CIA.S144045
[15]	BLASCO-PERIS C, CLIMENT-PAYA V, VETROVSKY T, et al. International Physical Activity Questionnaire Short Form and accelerometer-assessed physical activity: concurrent validity using six cut-points in HF patients[J]. ESC Heart Fail, 2024, 11(1): 126-135. doi: 10.1002/ehf2.14514
[16]	GARCÍA P F, HERAZO B Y, TUESCA M R. Levels of physical activity among colombian university students[J]. Rev Med Chil, 2015, 143(11): 1411-1418. doi: 10.4067/S0034-98872015001100006
[17]	李奕, 万琼, 徐国栋. 武汉地区高校大学生日常体力活动现状调查研究[J]. 江汉大学学报(自然科学版), 2020, 48(3): 77-83. LI Y, WAN Q, XU G D. Research on daily physical activity of college students in Wuhan[J]. J Jianghan Univ (Nat Sci Ed), 2020, 48(3): 77-83. (in Chinese)
[18]	LYU J, WEI Y, LI H, et al. The effect of three-circle post standing (Zhanzhuang) Qigong on the physical and psychological well-being of college students: a randomized controlled trial[J]. Medicine, 2021, 100(24): e26368. doi: 10.1097/MD.0000000000026368
[19]	HERTIŠ PETEK T, PETEK T, MOČNIK M, et al. Systemic inflammation, oxidative stress and cardiovascular health in children and adolescents: a systematic review[J]. Antioxidants, 2022, 11(5): 894. doi: 10.3390/antiox11050894
[20]	FOTOPOULOU C, KHAN T, BRACINIK J, et al. Outcomes of gynecologic cancer surgery during the COVID-19 pandemic: an international, multicenter, prospective covidsurg-gynecologic oncology cancer study[J]. Am J Obstet Gynecol, 2022, 227(5): 735. e1-735. e25.
[21]	JANKORD R, JEMIOLO B. Influence of physical activity on serum IL-6 and IL-10 levels in healthy older men[J]. Med Sci Sports Exerc, 2004, 36(6): 960-964. doi: 10.1249/01.MSS.0000128186.09416.18
[22]	JAHROMI A S, ZAR A, AHMADI F, et al. Effects of endurance training on the serum levels of tumour necrosis factor-α and interferon-γ in sedentary men[J]. Immune Netw, 2014, 14(5): 255-259. doi: 10.4110/in.2014.14.5.255
[23]	HJELSTUEN A, ANDERSSEN S A, HOLME I, et al. Markers of inflammation are inversely related to physical activity and fitness in sedentary men with treated hypertension[J]. Am J Hypertens, 2006, 19(7): 669-675. doi: 10.1016/j.amjhyper.2005.11.012
[24]	YARIBEYGI H, MALEKI M, BUTLER A E, et al. The impact of incretin-based medications on lipid metabolism[J]. J Diabetes Res, 2021, 2021: 1815178.
[25]	KERR N R, BOOTH F W. Contributions of physical inactivity and sedentary behavior to metabolic and endocrine diseases[J]. Trends Endocrinol Metab, 2022, 33(12): 817-827.
[26]	FERREIRA J P, DUARTE-MENDES P, TEIXEIRA A M, et al. Effects of combined training on metabolic profile, lung function, stress and quality of life in sedentary adults: a study protocol for a randomized controlled trial[J]. PLoS One, 2022, 17(2): e0263455.
[27]	BOWDEN DAVIES K A, SPRUNG V S, NORMAN J A, et al. Short-term decreased physical activity with increased sedentary behaviour causes metabolic derangements and altered body composition: effects in individuals with and without a first-degree relative with type 2 diabetes[J]. Diabetologia, 2018, 61(6): 1282-1294.
[28]	VODOVOTZ Y, BARNARD N, HU F B, et al. Prioritized research for the prevention, treatment, and reversal of chronic disease: recommendations from the lifestyle medicine research summit[J]. Front Med, 2020, 7: 585744.
[29]	LI M, CHI X, WANG Y, et al. Trends in insulin resistance: insights into mechanisms and therapeutic strategy[J]. Signal Transduct Target Ther, 2022, 7(1): 216.
[30]	WONDMKUN Y T. Obesity, insulin resistance, and type 2 diabetes: associations and therapeutic implications[J]. Diabetes Metab Syndr Obes, 2020, 13: 3611-3616.