Xu-Hong Li

Dr. Xu-Hong Li

City University of Hong Kong, Hong Kong, China
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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7 January 2021 in BMC Psychiatry
Verified
Journal Article
Open access
PDF file
MRMao-Sheng Ran
Mao-Sheng Ran
BHBrian J. Hall
Brian J. Hall
TSTin Tin Su
Tin Tin Su
BPBenny Prawira
Benny Prawira
MBMatilde Breth-Petersen
Matilde Breth-Petersen
TZTian-Ming Zhang
Tian-Ming Zhang
Background: Although cultural factors play a crucial role in experience of stigma, there is scant review on the impact and importance of culture on stigma of mental illness across Pacific Rim Region. This study aims to investigate: 1) the cultural factors related to stigmatizing beliefs about mental illness in Pacific Rim region, and 2) culture-specific measures and interventions on stigma of mental illness.Methods: A systematic search of papers was conducted in the MEDLINE, Embase, CINAHL, Web of Science, PsycINFO, Scopus, Cochrane Library and Google scholar through January 2003 to April 2019.Results: Forty-one studies in Pacific Rim region which met the inclusion criteria were included in the study. The rate of stigma of mental illness (e.g., public stigma: from 25.4 to 85.2%) was relatively high in Pacific Rim region. Culture factors (e.g., Collectivism, Confucianism, face concern and familism, religion and supernatural beliefs) contributed to people’s stigmatizing behaviors and attitudes toward persons with mental illness, their relatives and mental health professionals. Certain measurements were developed and employed to assess different type of cultural factors related to stigma of mental illness.Conclusions: Cultural factors play an important role in influencing the rate and performance of stigma of mental illness. Further research on stigma of mental illness and culture-specific interventions to reduce the stigma should be conducted in the Pacific Rim region.

16 October 2020 in International Journal of Social Psychiatry
Verified
Journal Article
Closed access
PDF file
XLXu-Hong Li
Xu-Hong Li
TZTian-Ming Zhang
Tian-Ming Zhang
YYYuen Yum Yau
Yuen Yum Yau
YWYi-Zhou Wang
Yi-Zhou Wang
YWYin-Ling Irene Wong
Yin-Ling Irene Wong
MRMao-Sheng Ran
Mao-Sheng Ran
Background: Self-stigma exerts a range of adversities for persons with severe mental illness (SMI), however, little is known about the association between peer contact, social support and self-stigma. Aims: This study aimed to explore the mediating role of social support on the relationship between peer contact and self-stigma among persons with SMI in Hong Kong. Methods: A total of 159 persons with SMI (schizophrenia and mood disorder) in community service centres participated in the study through completing a survey on self-stigma, social functioning, social support, perception of peer contact and mass media. Logistic regression was utilised to explore the influencing factors of self-stigma among the participants. Results: The results showed that 81.1% of participants reported moderate to severe levels of self-stigma. Self-stigma was significantly associated with diverse factors (e.g. social functioning). Importantly, positive peer contact was significantly associated with lower self-stigma of persons with SMI. Social support acted as a mediator between peer contact and self-stigma. Conclusion: The results of this study suggest that contact-based interventions, such as enhancing positive peer-to-peer contact, should be conducted for reducing self-stigma among persons with SMI.

30 June 2024 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
YWYahui Wang
Yahui Wang
XLXu-Hong Li
Xu-Hong Li
QZQiaochu Zhang
Qiaochu Zhang
DYDannii Yuen-lan Yeung
Dannii Yuen-lan Yeung
YWYihan WU
Yihan WU
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Mental health concerns, particularly depression, anxiety, and loneliness, are prevalent among university students, with financial stress further compounding these issues. This study investigates the efficacy of a CBT-based AI chatbot in improving the well-being of financially stressed university students. Objective: This study investigates the efficacy of a CBT-based AI chatbot in improving the well-being of financially stressed university students. Methods: In this randomized controlled trial, 100 university students aged 18-24 years were randomly allocated to an intervention (n=50) or waitlist control group (n=50). The intervention group interacted with a CBT-based AI chatbot for seven consecutive days, receiving personalized support and coping strategies to alleviate psychological distress. Anxiety, depression, and loneliness were assessed at baseline, Day 3, and Day 7 using the Generalized Anxiety Disorder 7-item (GAD-7), Centre for Epidemiologic Studies Depression (CES-D), and UCLA Loneliness Scale. Results: Compared to controls, the intervention group showed significant reductions in depression (F = 8.48, p < .001) and loneliness (F = 4.69, p = .011) at Day 7 relative to baseline. GAD-7 scores did not show significant changes. The chatbot's effectiveness was moderated by financial stress, with participants with high baseline financial stress (PIFS scores above the median) demonstrating greater improvements in CES-D (F = 11.56, p < .001) and UCLA Loneliness scores (F = 11.18, p < .001) compared to those with low financial stress. Conclusions: The CBT-based AI chatbot effectively reduced depression and loneliness in financially stressed university students. AI-driven interventions show promise in improving student mental health, especially for those facing financial hardship.

24 November 2020 in International Journal of Social Psychiatry
Verified
Journal Article
Closed access
PDF file
QFQi Fang
Qi Fang
TZTian-Ming Zhang
Tian-Ming Zhang
YWYin Ling Irene Wong
Yin Ling Irene Wong
YYYuen Yum Yau
Yuen Yum Yau
XLXu-Hong Li
Xu-Hong Li
MRMao-Sheng Ran
Mao-Sheng Ran
Background: Although knowledge is a crucial component in contact theory delineating how prejudice changes toward out-groups with stigmatized conditions, little is known about the mediating role of knowledge on contact, stigmatizing attitudes, and behaviors toward mental illness. Aim: This study aimed to examine the mechanism underlie contact and stigma change by knowledge. Methods: A total of 366 participants including family members (FM), mental health providers (MHP), and community residents (CR) recruited across communities in Hong Kong and completed measures of contact level, contact quantity, contact quality, mental health related knowledge, prejudice, and discriminatory behaviors. Structural equation modeling was adopted to test the association among the key variables. Results: Higher level of contact was significantly correlated with better knowledge, less prejudice, and less discriminatory behaviors. Knowledge was directly and negatively correlated with prejudicial attitudes but was not significantly related to discriminatory behaviors. Furthermore, lower levels of prejudice were associated with less discriminatory behaviors. Conclusion: Enhancement of contact may increase understanding toward people with mental illness (PMI) and diminish stigmatizing attitudes and behaviors. Although prejudicial attitudes may be reduced by broadening mental health knowledge, increasing knowledge only might not ameliorate discriminatory behaviors. Future research should test mediators on contact and stigma by using longitudinal data.

18 November 2021 in International Journal of Social Psychiatry
Verified
Journal Article
Closed access
PDF file
XLXu-Hong Li
Xu-Hong Li
SDShu-Yu Deng
Shu-Yu Deng
TZTian-Ming Zhang
Tian-Ming Zhang
YWYi-Zhou Wang
Yi-Zhou Wang
DWDan-Nuo Wei
Dan-Nuo Wei
MRMao-Sheng Ran
Mao-Sheng Ran
Affiliate stigma of family caregivers may severely influence family caregiving, early treatment, and recovery of people with mental illness (PMI), and it may be impacted by the knowledge of mental illness and contact with PMI. However, little is known about the correlation between affiliate stigma of family caregivers of PMI and contact in Hong Kong. This study aimed to investigate affiliate stigma and its influencing factors among family caregivers of PMI in Hong Kong. A total of 106 family caregivers in Hong Kong participated in the study. The measurements included affiliate stigma, contacts (quantity, quality, and level), knowledge, prejudice, and discriminatory behaviors. Multiple regression analyses were employed. The mean score of affiliate stigma scale (ASS) in family caregivers was 2.17 (SD = 0.65). In regression analyses, the results showed that contact quantity and contact level were significantly associated with higher affiliate stigma and its cognitive domain, while contact quality (e.g. positive contact) were significantly associated with lower affiliate stigma and its all domains among family caregivers. The positive relationship between prejudicial attitudes and affiliate stigma was also found. Affiliate stigma is severe among family caregivers of PMI in Hong Kong. The results of this study indicate that contact, especially positive contact, contributes to reducing affiliate stigma among family caregivers of PMI. The results of this study are important for development of health policy on reducing stigma in family caregivers of PMI. The effectiveness of Enhancing Contact Model (ECM) should be examined in future anti-stigma interventions.

24 February 2021 in International Journal of Social Psychiatry
Verified
Journal Article
Closed access
PDF file
MRMao-Sheng Ran
Mao-Sheng Ran
MPMan-Man Peng
Man-Man Peng
YYYuen Yum Yau
Yuen Yum Yau
TZTian-Ming Zhang
Tian-Ming Zhang
XLXu-Hong Li
Xu-Hong Li
LLLin Lu
Lin Lu
It remains unknown what the impacts of multiple dimensions of contact (e.g. level, quantity and quality) are on the stigma of mental illness. To explore the relationship between the multiple dimensions of contact and stigma of mental illness among family members (FM), mental health workers (MHW) and community residents (CR) in Hong Kong. The stigma, contact and knowledge were measured in FM, MHW and CR in Hong Kong. Multiple regression analyses were used. MHW (n = 141) had higher knowledge, more contact and lower stigma of mental illness than CR (n = 95) or FM (n = 62). Knowledge and contact quality were significantly associated with lower stigma of mental illness in the three groups. However, contact level and contact quantity were not significantly associated with most stigma components. The contact level was positively associated with stigma of mental illness among FM and CR. The results of this study highlight the differences in knowledge, contact and stigma of mental illness among different stakeholder groups. This study suggests that positive contact (e.g. equal, supportive, voluntary and pleasant contact) reduces stigma of mental illness, while negative contact (e.g. unfriendly, unsupportive, unpleasant contact) may increase stigma. The Enhancing Contact Model (ECM) should be tested in future anti-stigma interventions.