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Analysis of the relationship between metabolism score for visceral fat and new stroke in middle-aged and elderly population
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Xiang-dong HAN1, 2, Guo-hui LI2, Jia CHEN2
Modern Preventive Medicine | 2024, 51(3) : 417 - 421
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Modern Preventive Medicine | 2024, 51(3): 417-421
• Epidemiology and Statistical Methods •
Analysis of the relationship between metabolism score for visceral fat and new stroke in middle-aged and elderly population
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Xiang-dong HAN1, 2, Guo-hui LI2, Jia CHEN2
Affiliations
  • Ningxia Medical University, Yinchuan, Ningxia 750001, China
Published: 2024-02-10 doi: 10.20043/j.cnki.MPM.202307054
Outline
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Objective

To investigate the relationship between the metabolism score for visceral fat (METS-VF) and new stroke cases in the middle-aged and elderly.

Methods

Three Logistic regression models were established based on the data of China Health and Retirement Longitudinal Study (CHARLS) in 2011 and 2018 to study the association between METS-VF and new stroke cases, and the restricted cubic spline model was used to investigate the possible nonlinear relationship.

Results

In total 7 007 participants were included, of which 407 had new stroke. The results of regression model showed that compared with the group with the lowest METS-VF index (Q1), the group with the highest METS-VF index (Q4) had the highest risk of new stroke, with the increased risk by 153% (OR=2.53, 95%CI: 1.87-3.47). Restricted cubic spline regression analysis found that there was a dose-response relationship between METS-VF index and the prevalence of new stroke (P <0.001), showing a J-shape relationship (P Nonlinear < 0.001).

Conclusion

METS-VF index is closely related to the prevalence of new stroke, and there is a dose-response relationship between them.

Middle-aged and elderly  /  Metabolism score for visceral fat  /  New stroke cases  /  Dose-response relationship  /  CHARLS
Xiang-dong HAN, Guo-hui LI, Jia CHEN. Analysis of the relationship between metabolism score for visceral fat and new stroke in middle-aged and elderly population[J]. Modern Preventive Medicine, 2024 , 51 (3) : 417 -421 . DOI: 10.20043/j.cnki.MPM.202307054
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Year 2024 volume 51 Issue 3
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Article Info
doi: 10.20043/j.cnki.MPM.202307054
  • Receive Date：2023-07-05
  • Online Date：2026-03-19
  • Published：2024-02-10
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  • Received：2023-07-05
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    Ningxia Medical University, Yinchuan, Ningxia 750001, 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		 占总种数比例
Percentage of
total species (%)		 属
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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