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Ye Gao
Publications - 4
Citations - 39
Ye Gao is an academic researcher. The author has contributed to research in topics: Exploratory factor analysis & Confirmatory factor analysis. The author has an hindex of 1, co-authored 2 publications receiving 8 citations.
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Journal ArticleDOI
Translation of the Chinese Version of the Nomophobia Questionnaire and Its Validation Among College Students: Factor Analysis.
Ye Gao,Hongliang Dai,Guizhi Jia,Chunguang Liang,Tong Tong,Zhiyu Zhang,Ruobing Song,Qing Wang,Yue Zhu +8 more
TL;DR: The Chinese version of the Nomophobia Questionnaire exhibited satisfactory psychometric properties and the significant predictors for each of the dimensions of nomophobia and total score of the questionnaire were the average number of hours spent on a mobile phone daily and gender.
Journal ArticleDOI
Translation of the Chinese version of the modified Yale Food Addiction Scale 2.0 and its validation among college students
TL;DR: Wang et al. as mentioned in this paper explored the structure of the Chinese version of the mYFAS 2.0 and assessed the occurrence of food addiction in a sample of college students in Northeast China.
Journal ArticleDOI
Self-management behavior, associated factors and its relationship with social support and health literacy in patients with obstructive sleep apnea–hypopnea syndrome
Haitao Yu,Ye Gao,Tong Tong,Chunguang Liang,Hui Zhang,Xiangru Yan,Liying Wang,Huiying Zhang,Hongliang Dai,Huijuan Tong +9 more
TL;DR: Wang et al. as mentioned in this paper investigated the level of self-management among patients with obstructive sleep apnea hypopnea syndrome and its relationship with general demographics, social support, and health literacy.
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Psychometric Properties of the Chinese Revision of the Pitt Wellness Scale for People in the University Environment
Xiangru Yan,Ye Gao,Hui Zhang,Chung-Ming Liang,Haitao Yu,Liying Wang,Sisi Li,Yanhui Li,Huijuan Tong +8 more
TL;DR: Wang et al. as discussed by the authors investigated the psychometric properties of the Pitt Wellness Scale in Chinese university environmental samples, and they used exploratory factor analysis (EFA) to investigate the potential factor structure.