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Associations of different physical activity patterns with prevalence of metabolic syndrome: a cross-sectional analysis of NHANES 2011—2020
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Jun-mei XIA1, Hong-tao HAO1, Ji-ling LIANG1, Yu-hang LIU2, Si-yao GAO1, Jia-ling TANG1
Modern Preventive Medicine | 2025, 52(19) : 3464 - 3470
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Modern Preventive Medicine | 2025, 52(19): 3464-3470
Epidemiology and Statistical Methods
Associations of different physical activity patterns with prevalence of metabolic syndrome: a cross-sectional analysis of NHANES 2011—2020
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Jun-mei XIA1, Hong-tao HAO1, Ji-ling LIANG1, Yu-hang LIU2, Si-yao GAO1, Jia-ling TANG1
Affiliations
  • Department of Physical Education, Central South University, Changsha, Hunan 410083, China
Published: 2025-10-10 doi: 10.20043/j.cnki.MPM.202504014
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Objective This study investigates potential relationships between distinct physical activity patterns and metabolic syndrome (MS) to provide evidence for exercise-based prevention and control of MS. Methods Utilising data from 15 338 US adults in NHANES 2011—2020, participants were stratified into physical activity patterns. Metabolic syndrome (MS) was diagnosed via NCEP-ATP III criteria. Multivariable logistic regression evaluated associations between activity patterns and MS risk. Restricted cubic splines(RCS) were used to model dose-response relationships, and subgroup analyses were conducted. Results Compared with inactive individuals, both weekend warriors (aOR=0.856, 95% CI: 0.736-0.995) and regular exercisers(aOR=0.758, 95% CI: 0.690-0.833) exhibited significant inverse associations with MS risk. RCS analysis demonstrated a progressive reduction in MS risk with increasing total physical activity duration (P≤0.001). Subgroup analyses revealed enhanced protective effects for weekend warriors among adults aged >60 years(aOR=0.679, 95% CI: 0.518-0.887) and males(aOR=0.792, 95% CI: 0.639-0.979). In the regular exercise group, increases in activity duration, intensity, and frequency were significantly associated with lower MS risk. Conclusion This study demonstrates that both regular exercise and weekend warrior physical activity patterns correlate with reduced metabolic syndrome risk, highlighting the importance of physical activity in comprehensive MS prevention and intervention strategies.

Physical activity  /  Metabolic syndrome  /  Cross-sectional analysis
Jun-mei XIA, Hong-tao HAO, Ji-ling LIANG, Yu-hang LIU, Si-yao GAO, Jia-ling TANG. Associations of different physical activity patterns with prevalence of metabolic syndrome: a cross-sectional analysis of NHANES 2011—2020[J]. Modern Preventive Medicine, 2025 , 52 (19) : 3464 -3470 . DOI: 10.20043/j.cnki.MPM.202504014
Year 2025 volume 52 Issue 19
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doi: 10.20043/j.cnki.MPM.202504014
  • Receive Date:2025-04-01
  • Online Date:2026-03-17
  • Published:2025-10-10
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  • Received:2025-04-01
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    Department of Physical Education, Central South University, Changsha, Hunan 410083, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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