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Wang S, Xia BX, Luo T, Wang P. Association between physical activity and diet quality of obese and non-obese MAFLD. Nutr Metab Cardiovasc Dis 2024; 34:75-89. [PMID: 37949716 DOI: 10.1016/j.numecd.2023.07.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 07/04/2023] [Accepted: 07/15/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND AND AIM Clinical data on the prevalence of metabolic-associated fatty liver disease (MAFLD) in obese and non-obese individuals within a diverse US population is scarce. Furthermore, the influence of physical activity (PA) and dietary quality (DQ) on MAFLD risk remains unclear. This study aims to assess the prevalence and clinical features of MAFLD and examine the relationship between PA and DQ with the risk of developing MAFLD. METHODS AND RESULTS A cross-sectional analysis of data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) was conducted. The overall MAFLD prevalence was 41.9%, with 28.6% of participants being obese and 13.4% non-obese. Among those with MAFLD, 67.1% (95% confidence interval (CI): 59.1%-75.1%) were obese, and 32.9% (95% CI: 29.1%-36.7%) were non-obese. Non-obese MAFLD was more frequent in Asians (27.2%), while obese MAFLD was more prevalent in Blacks (66.3%). Metabolic comorbidities were more common in individuals with obese MAFLD, who also exhibited more advanced fibrosis. A high-quality diet (HQD) and increased PA were linked to reduced odds of both obese and non-obese MAFLD (odds ratio (OR) and 95% CI: 0.67 [0.51-0.88] and 0.57 [0.47-0.69]; 0.62 [0.43-0.90] and 0.63 [0.46-0.87], respectively). PA and HQD significantly decreased the risk of obese and non-obese MAFLD (OR and 95% CI: 0.46 [0.33-0.64] and 0.42 [0.31-0.57]). CONCLUSION A substantial proportion of the US population is affected by both obese and non-obese MAFLD. A strong association exists between a lower risk of both types of MAFLD and adherence to an HQD and engagement in PA.
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Affiliation(s)
- Shuang Wang
- Department of Geriatrics, The People's Hospital of Changshou, Chongqing, China
| | - Bing Xin Xia
- Department of Geriatrics, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tingting Luo
- Department of Gynaecology, Three Gorges Hospital, Chongqing, China
| | - Peng Wang
- Department of Geriatrics, The People's Hospital of Changshou, Chongqing, China.
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Zhong YP, Xu D, Wang P, Song C, Guo QJ, Liu WX, Xu K, Xia BX, Lu CY, Han S, Pan JW, Wang H. Emulating Anyonic Fractional Statistical Behavior in a Superconducting Quantum Circuit. Phys Rev Lett 2016; 117:110501. [PMID: 27661671 DOI: 10.1103/physrevlett.117.110501] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Indexed: 05/06/2023]
Abstract
Anyons are exotic quasiparticles obeying fractional statistics, whose behavior can be emulated in artificially designed spin systems. Here we present an experimental emulation of creating anyonic excitations in a superconducting circuit that consists of four qubits, achieved by dynamically generating the ground and excited states of the toric code model, i.e., four-qubit Greenberger-Horne-Zeilinger states. The anyonic braiding is implemented via single-qubit rotations: a phase shift of π related to braiding, the hallmark of Abelian 1/2 anyons, has been observed through a Ramsey-type interference measurement.
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Affiliation(s)
- Y P Zhong
- Department of Physics, Zhejiang University, Hangzhou, Zhejiang 310027, China
- CAS Center for Excellence and Synergetic Innovation Center of Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - D Xu
- Department of Physics, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | - P Wang
- Department of Physics, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | - C Song
- Department of Physics, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | - Q J Guo
- Department of Physics, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | - W X Liu
- Department of Physics, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | - K Xu
- Department of Physics, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | - B X Xia
- CAS Center for Excellence and Synergetic Innovation Center of Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C-Y Lu
- CAS Center for Excellence and Synergetic Innovation Center of Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
- CAS-Alibaba Quantum Computing Laboratory, Shanghai 201315, China
| | - Siyuan Han
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - Jian-Wei Pan
- CAS Center for Excellence and Synergetic Innovation Center of Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
- CAS-Alibaba Quantum Computing Laboratory, Shanghai 201315, China
| | - H Wang
- Department of Physics, Zhejiang University, Hangzhou, Zhejiang 310027, China
- CAS Center for Excellence and Synergetic Innovation Center of Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
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