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Ying Hui on Muck Rack

Ying Hui

As seen in: Nature, Wiley Online Library, BMJ Open, Frontiers, MDPI, Biomed Central (BMC), Flipboard, Annals of Pediatric Cardiology, Journal of Advanced Transportation, Journal of Applied Meteorology and Climatology
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Articles

Association of Cumulative Metabolic Burden With Brain Perfusion, Volume and Cerebral Small Vessel Disease: A Brain Magnetic Resonance Imaging-Based Study

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By Zongye Li, Ying Hui, JING CHEN
| Wiley Online Library Verified
1 Introduction With the aging of the global population, preserving brain health into old age has become a great challenge for the medical community and the wider society. As an age-related and increasingly prevalent condition, cerebral small vessel disease (CSVD) has become a significant cause of vascular dementia and accounts for approximately a quarter of strokes [1].
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Associations of clinical obesity with arterial stiffness and cerebral small vessel disease: a population-based study

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By Mengmeng Bai, Ying Hui, Jingjie Liu, Xiaoshuai Li, Chunyu Ruan, Wenfei Zhang, Shaohua Zhou, Siyu Jia, Jianmin Qiao, Han Lv, Shouling Wu
| Frontiers
Abstract Objectives: Based on the comprehensive indicator of clinical obesity, this study investigates its association with arterial stiffness and cerebral small vessel disease (cSVD). Methods: This cross-sectional study analyzed 2,011 adults from the Multimodal Imaging Study based on the Kailuan Cohort. From 2021 to 2024, participants underwent Brain magnetic resonance imaging scans and obesity assessments.
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Effects of cumulative systolic blood pressure on arterial stiffness: a cross-sectional study based on a community in northern China with 16 years of follow-up

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By Chen Su, Ying Hui, Xinyu Zhao, Shuohua Chen, Jianjiao Wang, Siyu Wang, Jinyi Han, Mo Zhang, Shouling Wu, Yuntao Wu, Linxue Qian, Xian-quan Shi
| Nature Verified
Abstract To determine the impact of cumulative systolic blood pressure (cumulative SBP) on increased arterial stiffness in a northern Chinese community. A total of 427 participants from the Kailuan study were enrolled. The median age was 59.0 years (interquartile range 52.0, 66.0). Cumulative SBP was calculated from BP measurements recorded in 2006–2022 by quartile. Logistic regression was used to estimate odds ratios (ORs) and confidence intervals (CIs).
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