Yu-Chuan (Jack) Li

Dr. Yu-Chuan (Jack) Li

International Center for Health Information Technology (ICHIT), Taipei, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2015
Verified
Journal Article
Closed access
GHGeorge Hripcsak
George Hripcsak
JDJon D Duke
Jon D Duke
NSNigam H Shah
Nigam H Shah
CRChristian G Reich
Christian G Reich
VHVojtech Huser
Vojtech Huser
PRPatrick B Ryan
Patrick B Ryan

1 March 2019 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
CWChieh-Chen Wu
Chieh-Chen Wu
WYWen-Chun Yeh
Wen-Chun Yeh
WHWen-Ding Hsu
Wen-Ding Hsu
Md. Mohaimenul IslamMd. Mohaimenul Islam
Md. Mohaimenul Islam
PNPhung Anh (Alex) Nguyen
Phung Anh (Alex) Nguyen
YLYu-Chuan (Jack) Li
Yu-Chuan (Jack) Li

13 February 2013 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Shabbir Syed-AbdulShabbir Syed-Abdul
Shabbir Syed-Abdul
LLLuis Luque
Luis Luque
WJWen-Shan Jian
Wen-Shan Jian
YLYu-Chuan (Jack) Li
Yu-Chuan (Jack) Li
SCSteven Crain
Steven Crain
DLDer-Ming Liou
Der-Ming Liou
Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube

24 December 2016 in Neuroepidemiology
Verified
Journal Article
Closed access
Md. Mohaimenul IslamMd. Mohaimenul Islam
Md. Mohaimenul Islam
UIUsman Iqbal
Usman Iqbal
BWBruno Walther
Bruno Walther
Suleman AtiqueSuleman Atique
Suleman Atique
NDNavneet Kumar Dubey
Navneet Kumar Dubey
SSSyed-Abdul Shabbir
Syed-Abdul Shabbir
Background: Benzodiazepines are a widely used medication in developed countries, particularly among elderly patients. However, benzodiazepines are known to affect memory and cognition and might thus enhance the risk of dementia. The objective of this review is to synthesize evidence from observational studies that evaluated the association between benzodiazepines use and dementia risk. Summary: We performed a systematic review and meta-analysis of controlled observational studies to evaluate the risk of benzodiazepines use on dementia outcome. All control observational studies that compared dementia outcome in patients with benzodiazepine use with a control group were included. We calculated pooled ORs using a random-effects model. Ten studies (of 3,696 studies identified) were included in the systematic review, of which 8 studies were included in random-effects meta-analysis and sensitivity analyses. Odds of dementia were 78% higher in those who used benzodiazepines compared with those who did not use benzodiazepines (OR 1.78; 95% CI 1.33-2.38). In subgroup analysis, the higher association was still found in the studies from Asia (OR 2.40; 95% CI 1.66-3.47) whereas a moderate association was observed in the studies from North America and Europe (OR 1.49; 95% CI 1.34-1.65 and OR 1.43; 95% CI 1.16-1.75). Also, diabetics, hypertension, cardiac disease, and statin drugs were associated with increased risk of dementia but negative association was observed in the case of body mass index. There was significant statistical and clinical heterogeneity among studies for the main analysis and most of the sensitivity analyses. There was significant statistical and clinical heterogeneity among the studies for the main analysis and most of the sensitivity analyses. Key Messages: Our results suggest that benzodiazepine use is significantly associated with dementia risk. However, observational studies cannot clarify whether the observed epidemiologic association is a causal effect or the result of some unmeasured confounding variable. Therefore, more research is needed.

1 January 2018 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
SKShwetambara Kekade
Shwetambara Kekade
CHChung-Ho Hseieh
Chung-Ho Hseieh
Md. Mohaimenul IslamMd. Mohaimenul Islam
Md. Mohaimenul Islam
Suleman AtiqueSuleman Atique
Suleman Atique
AKAbdulwahed Mohammed Khalfan
Abdulwahed Mohammed Khalfan
Shabbir Syed-AbdulShabbir Syed-Abdul
Shabbir Syed-Abdul

19 August 2019 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
Shabbir Syed-AbdulShabbir Syed-Abdul
Shabbir Syed-Abdul
SMShwetambara Malwade
Shwetambara Malwade
ANAldilas Achmad Nursetyo
Aldilas Achmad Nursetyo
MSMishika Sood
Mishika Sood
MBMadhu Bhatia
Madhu Bhatia
YLYu-Chuan (Jack) Li
Yu-Chuan (Jack) Li
Virtual reality (VR) has several applications in the medical domain and also generates a secure environment to carry out activities. Evaluation of the effectiveness of VR among older populations revealed positive effects of VR as a tool to reduce risks of falls and also improve the social and emotional well-being of older adults. The decline in physical and mental health, the loss of functional capabilities, and a weakening of social ties represent obstacles towards active aging among older adults and indicate a need for support. Existing research focused on the effects of VR among older populations, and its uses and benefits. Our study investigated the acceptance and use of VR by the elderly. This pilot study was conducted on 30 older adults who voluntarily participated during March to May 2018. Nine VR applications that promote physical activities, motivate users, and provide entertainment were chosen for this study. Participants were asked to use any one of the applications of their choice for 15 min twice a week for 6 weeks. At the end of 6 weeks, participants were asked to fill out a questionnaire based on the Technology Acceptance Model and a literature review, to evaluate their acceptance of VR technology. Cronbach’s alpha reliability analysis was used to test the internal consistency of the questionnaire items. Pearson’s product moment correlation was used to examine the validity of the questionnaire. A linear regression and mediation analysis were utilized to identify relationships among the variables of the questionnaire. In total, six male and 24 female participants aged 60~95 years volunteered to participate in the study. Perceived usefulness, perceived ease of use, social norms, and perceived enjoyment were seen to have had significant effects on the intention to use VR. Participants agreed to a large extent regarding the perceived usefulness, perceived enjoyment, and their experience of using VR. Thus, VR was seen to have high acceptance among this elderly population. Older people have positive perceptions towards accepting and using VR to support active aging. They perceived VR to be useful, easy to use, and an enjoyable experience, implying positive attitudes toward adopting this new technology.