Chenghua Pan
East China Normal University
30 Papers
1 Citations
Chenghua Pan is an academic researcher from East China Normal University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Risk factors for depression in the elderly: An umbrella review of published meta-analyses and systematic reviews.
Qian Wu,Jian Feng,Chenghua Pan +2 more
TL;DR: In this article , the authors conducted an umbrella review of risk factors for depression in the elderly and assessed the credibility of evidence of the association between each factor and depression, in which aspirin use and individuals aged 80 years and above presented the strongest evidence.
22
Association between parental control and depressive symptoms among college freshmen in China: The chain mediating role of chronotype and sleep quality.
Xing-Xuan Dong,Gang Liang,Dan L. Li,Min-Xin Liu,Zhigang Yin,Yue-Zu Li,Tianyang Zhang,Chenghua Pan +7 more
TL;DR: In this article , a chain mediating model was constructed to examine whether chronotype and sleep quality mediated the relationship between parental control and depressive symptoms among Chinese college freshmen, and the results showed that both maternal and paternal control had a direct link with depressive symptoms.
17
Smoking, dietary factors and major age-related eye disorders: an umbrella review of systematic reviews and meta-analyses
TL;DR: In this paper , the authors provided an umbrella review of the published literature pertaining to smoking or dietary intake as risk factors for major AREDs including cataract, glaucoma, age-related macular degeneration (AMD) and diabetic retinopathy.
13
Risk factors for myopia among children and adolescents: an umbrella review of published meta-analyses and systematic reviews
Zhiguo Ying,Dan L. Li,Xin Zheng,Xiaofeng Zhang,Chenghua Pan +4 more
TL;DR: In this paper , the authors conducted an umbrella review to identify potential risk factors for myopia in children and adolescents and assess the credibility of each evidence, providing reference for the development of myopia prevention strategies.
9
Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents
Xiao-Wen Hou,Jinliuxing Yang,Dan L. Li,Yijin Tao,Chao-Fu Ke,Bo Zhang,Shang Liu,Tianyu Cheng,Tian Xiao Wang,Xun Xu,Xiangui He,Chenghua Pan +11 more
TL;DR: In this article , three machine learning (ML) models were trained by combining metabolic features and conventional clinical factors that were screened for significance in discrimination, and the betterperforming model was validated in an independent point-in-time cohort.