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Article ; Online: The Impact of Social Media Use on Sleep and Mental Health in Youth: a Scoping Review.

Yu, Danny J / Wing, Yun Kwok / Li, Tim M H / Chan, Ngan Yin

2024 Volume 26, Issue 3, Page(s) 104–119

Abstract: Purpose of review: Social media use (SMU) and other internet-based technologies are ubiquitous in today's interconnected society, with young people being among the commonest users. Previous literature tends to support that SMU is associated with poor ... ...

Abstract	Purpose of review: Social media use (SMU) and other internet-based technologies are ubiquitous in today's interconnected society, with young people being among the commonest users. Previous literature tends to support that SMU is associated with poor sleep and mental health issues in youth, despite some conflicting findings. In this scoping review, we summarized relevant studies published within the past 3 years, highlighted the impacts of SMU on sleep and mental health in youth, while also examined the possible underlying mechanisms involved. Future direction and intervention on rational use of SMU was discussed. Recent findings: Both cross-sectional and longitudinal cohort studies demonstrated the negative impacts of SMU on sleep and mental health, with preliminary evidence indicating potential benefits especially during the COVID period at which social restriction was common. However, the limited longitudinal research has hindered the establishment of directionality and causality in the association among SMU, sleep, and mental health. Recent studies have made advances with a more comprehensive understanding of the impact of SMU on sleep and mental health in youth, which is of public health importance and will contribute to improving sleep and mental health outcomes while promoting rational and beneficial SMU. Future research should include the implementation of cohort studies with representative samples to investigate the directionality and causality of the complex relationships among SMU, sleep, and mental health; the use of validated questionnaires and objective measurements; and the design of randomized controlled interventional trials to reduce overall and problematic SMU that will ultimately enhance sleep and mental health outcomes in youth.
MeSH term(s)	Humans ; Adolescent ; Mental Health ; Social Media ; Longitudinal Studies ; Cross-Sectional Studies ; Sleep
Language	English
Publishing date	2024-02-08
Publishing country	United States
Document type	Review ; Journal Article
ZDB-ID	2055376-6
ISSN	1535-1645 ; 1523-3812
ISSN (online)	1535-1645
ISSN	1523-3812
DOI	10.1007/s11920-024-01481-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Multimodal digital assessment of depression with actigraphy and app in Hong Kong Chinese.

Chen, Jie / Chan, Ngan Yin / Li, Chun-Tung / Chan, Joey W Y / Liu, Yaping / Li, Shirley Xin / Chau, Steven W H / Leung, Kwong Sak / Heng, Pheng-Ann / Lee, Tatia M C / Li, Tim M H / Wing, Yun-Kwok

Translational psychiatry

2024 Volume 14, Issue 1, Page(s) 150

Abstract: There is an emerging potential for digital assessment of depression. In this study, Chinese patients with major depressive disorder (MDD) and controls underwent a week of multimodal measurement including actigraphy and app-based measures (D-MOMO) to ... ...

Abstract	There is an emerging potential for digital assessment of depression. In this study, Chinese patients with major depressive disorder (MDD) and controls underwent a week of multimodal measurement including actigraphy and app-based measures (D-MOMO) to record rest-activity, facial expression, voice, and mood states. Seven machine-learning models (Random Forest [RF], Logistic regression [LR], Support vector machine [SVM], K-Nearest Neighbors [KNN], Decision tree [DT], Naive Bayes [NB], and Artificial Neural Networks [ANN]) with leave-one-out cross-validation were applied to detect lifetime diagnosis of MDD and non-remission status. Eighty MDD subjects and 76 age- and sex-matched controls completed the actigraphy, while 61 MDD subjects and 47 controls completed the app-based assessment. MDD subjects had lower mobile time (P = 0.006), later sleep midpoint (P = 0.047) and Acrophase (P = 0.024) than controls. For app measurement, MDD subjects had more frequent brow lowering (P = 0.023), less lip corner pulling (P = 0.007), higher pause variability (P = 0.046), more frequent self-reference (P = 0.024) and negative emotion words (P = 0.002), lower articulation rate (P < 0.001) and happiness level (P < 0.001) than controls. With the fusion of all digital modalities, the predictive performance (F1-score) of ANN for a lifetime diagnosis of MDD was 0.81 and 0.70 for non-remission status when combined with the HADS-D item score, respectively. Multimodal digital measurement is a feasible diagnostic tool for depression in Chinese. A combination of multimodal measurement and machine-learning approach has enhanced the performance of digital markers in phenotyping and diagnosis of MDD.
MeSH term(s)	Humans ; Depressive Disorder, Major/diagnosis ; Bayes Theorem ; Actigraphy ; Depression/diagnosis ; Hong Kong ; Mobile Applications
Language	English
Publishing date	2024-03-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	2609311-X
ISSN	2158-3188 ; 2158-3188
ISSN (online)	2158-3188
ISSN	2158-3188
DOI	10.1038/s41398-024-02873-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Exploring student mental health and intention to use online counseling in Hong Kong during the COVID-19 pandemic.

Li, Tim M H / Leung, Cassie S Y

Psychiatry and clinical neurosciences

2020 Volume 74, Issue 10, Page(s) 564–565

MeSH term(s)	Adolescent ; Attitude to Health ; COVID-19 ; Counseling ; Distance Counseling ; Female ; Hong Kong ; Humans ; Intention ; Internet ; Male ; Mental Health ; Mental Health Services ; Psychological Distress ; Students/psychology ; Telemedicine ; Text Messaging ; Videoconferencing
Keywords	covid19
Language	English
Publishing date	2020-08-08
Publishing country	Australia
Document type	Letter
ZDB-ID	1292906-2
ISSN	1440-1819 ; 1323-1316
ISSN (online)	1440-1819
ISSN	1323-1316
DOI	10.1111/pcn.13117
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Association of chronic poststernotomy pain and health-related quality of life: a prospective cohort study.

Sun, Terri / Fan, Mikayla / Peng, Defen / Li, Lauren / Ree, Alyson / Flexman, Alana M / Sutherland, Ainsley M / Schwarz, Stephan K W / Jen, Tim Ting Han / Yarnold, Cynthia H

Canadian journal of anaesthesia = Journal canadien d'anesthesie

2024 Volume 71, Issue 5, Page(s) 579–589

Abstract: Purpose: Chronic poststernotomy pain (CPSP) after cardiac surgery is multifactorial and impacts patient recovery. We aimed to evaluate the association between CPSP severity and health-related quality of life at six months after cardiac surgery.: ... ...

Title translation	Association de la douleur chronique post-sternotomie et de la qualité de vie liée à la santé : une étude de cohorte prospective.
Abstract	Purpose: Chronic poststernotomy pain (CPSP) after cardiac surgery is multifactorial and impacts patient recovery. We aimed to evaluate the association between CPSP severity and health-related quality of life at six months after cardiac surgery. Methods: This was a single-centre prospective cohort study of patients who underwent cardiac surgery with median sternotomy between September 2020 and March 2021. Telephone interviews were conducted at six and 12 months postoperatively using the Short Form McGill Pain Questionnaire and the EQ-5D-5L. Strength of correlation was described using Spearman's correlation coefficient. Multivariable regression analysis was used to account for confounding variables. Results: A total of 252 patients responded to the six-month interview (response rate, 65%). The mean (standard deviation) age of respondents was 65 (13) yr. Twenty-nine percent of respondents (72/252) reported CPSP at six months, and 14% (41/252) reported more than mild pain (score ≥ 2/5). At 12 months, of the 89% (64/72) patients who responded, 47% (30/64) still reported pain. The strength of the correlation between pain scores and EQ-5D-5L was weak (Spearman's correlation coefficient, -0.3). Risk factors for CPSP at six months included higher pain score on postoperative day 1, history of chronic pain prior to surgery, and history of depression. Intraoperative infusion of dexmedetomidine or ketamine was associated with a reduced risk of CPSP at six months. Conclusion: Chronic poststernotomy pain still affects patient recovery at six and 12 months after cardiac surgery. The severity of that pain is poorly correlated with patients' quality of life. Study registration: www.osf.io ( https://osf.io/52rsw ); registered 14 May 2022.
MeSH term(s)	Humans ; Chronic Pain/epidemiology ; Chronic Pain/etiology ; Quality of Life ; Prospective Studies ; Pain, Postoperative/drug therapy ; Pain, Postoperative/epidemiology ; Pain, Postoperative/etiology
Language	English
Publishing date	2024-02-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	91002-8
ISSN	1496-8975 ; 0832-610X
ISSN (online)	1496-8975
ISSN	0832-610X
DOI	10.1007/s12630-024-02706-4
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Article: Exploring student mental health and intention to use online counseling in Hong Kong during the COVID-19 pandemic

Li, Tim M H / Leung, Cassie S Y

Psychiatry clin. neurosci

Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #724916
Database	COVID19

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Article ; Online: A forgotten sign of depression - the omega sign and its implication.

Chen, Jie / Li, Chun-Tung / Li, Tim M H / Chan, Ngan Yin / Chan, Joey W Y / Liu, Yaping / Lee, Tatia M C / Wing, Yun-Kwok

Asian journal of psychiatry

2022 Volume 80, Page(s) 103345

MeSH term(s)	Humans ; Depression/diagnosis ; Memory Disorders
Language	English
Publishing date	2022-11-21
Publishing country	Netherlands
Document type	Letter
ZDB-ID	2456678-0
ISSN	1876-2026 ; 1876-2018
ISSN (online)	1876-2026
ISSN	1876-2018
DOI	10.1016/j.ajp.2022.103345
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Article ; Online: Still in Search for an EAAT Activator: GT949 Does Not Activate EAAT2, nor EAAT3 in Impedance and Radioligand Uptake Assays.

van Veggel, Lieve / Mocking, Tamara A M / Sijben, Hubert J / Liu, Rongfang / Gorostiola González, Marina / Dilweg, Majlen A / Royakkers, Jeroen / Li, Anna / Kumar, Vijay / Dong, Yin Yao / Bullock, Alex / Sauer, David B / Diliën, Hanne / van Westen, Gerard J P / Schreiber, Rudy / Heitman, Laura H / Vanmierlo, Tim

ACS chemical neuroscience

2024 Volume 15, Issue 7, Page(s) 1424–1431

Abstract: Excitatory amino acid transporters (EAATs) are important regulators of amino acid transport and in particular glutamate. Recently, more interest has arisen in these transporters in the context of neurodegenerative diseases. This calls for ways to ... ...

Abstract	Excitatory amino acid transporters (EAATs) are important regulators of amino acid transport and in particular glutamate. Recently, more interest has arisen in these transporters in the context of neurodegenerative diseases. This calls for ways to modulate these targets to drive glutamate transport, EAAT2 and EAAT3 in particular. Several inhibitors (competitive and noncompetitive) exist to block glutamate transport; however, activators remain scarce. Recently, GT949 was proposed as a selective activator of EAAT2, as tested in a radioligand uptake assay. In the presented research, we aimed to validate the use of GT949 to activate EAAT2-driven glutamate transport by applying an innovative, impedance-based, whole-cell assay (xCELLigence). A broad range of GT949 concentrations in a variety of cellular environments were tested in this assay. As expected, no activation of EAAT3 could be detected. Yet, surprisingly, no biological activation of GT949 on EAAT2 could be observed in this assay either. To validate whether the impedance-based assay was not suited to pick up increased glutamate uptake or if the compound might not induce activation in this setup, we performed radioligand uptake assays. Two setups were utilized; a novel method compared to previously published research, and in a reproducible fashion copying the methods used in the existing literature. Nonetheless, activation of neither EAAT2 nor EAAT3 could be observed in these assays. Furthermore, no evidence of GT949 binding or stabilization of purified EAAT2 could be observed in a thermal shift assay. To conclude, based on experimental evidence in the present study GT949 requires specific assay conditions, which are difficult to reproduce, and the compound cannot simply be classified as an activator of EAAT2 based on the presented evidence. Hence, further research is required to develop the tools needed to identify new EAAT modulators and use their potential as a therapeutic target.
MeSH term(s)	Excitatory Amino Acid Transporter 2/metabolism ; Electric Impedance ; Glutamic Acid/metabolism ; Biological Transport ; Excitatory Amino Acid Transporter 3/metabolism
Chemical Substances	Excitatory Amino Acid Transporter 2 ; Glutamic Acid (3KX376GY7L) ; Excitatory Amino Acid Transporter 3
Language	English
Publishing date	2024-03-13
Publishing country	United States
Document type	Journal Article
ISSN	1948-7193
ISSN (online)	1948-7193
DOI	10.1021/acschemneuro.3c00731
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Detection of Suicidal Ideation in Clinical Interviews for Depression Using Natural Language Processing and Machine Learning: Cross-Sectional Study.

Li, Tim M H / Chen, Jie / Law, Framenia O C / Li, Chun-Tung / Chan, Ngan Yin / Chan, Joey W Y / Chau, Steven W H / Liu, Yaping / Li, Shirley Xin / Zhang, Jihui / Leung, Kwong-Sak / Wing, Yun-Kwok

JMIR medical informatics

2023 Volume 11, Page(s) e50221

Abstract: Background: Assessing patients' suicide risk is challenging, especially among those who deny suicidal ideation. Primary care providers have poor agreement in screening suicide risk. Patients' speech may provide more objective, language-based clues about ...

Abstract	Background: Assessing patients' suicide risk is challenging, especially among those who deny suicidal ideation. Primary care providers have poor agreement in screening suicide risk. Patients' speech may provide more objective, language-based clues about their underlying suicidal ideation. Text analysis to detect suicide risk in depression is lacking in the literature. Objective: This study aimed to determine whether suicidal ideation can be detected via language features in clinical interviews for depression using natural language processing (NLP) and machine learning (ML). Methods: This cross-sectional study recruited 305 participants between October 2020 and May 2022 (mean age 53.0, SD 11.77 years; female: n=176, 57%), of which 197 had lifetime depression and 108 were healthy. This study was part of ongoing research on characterizing depression with a case-control design. In this study, 236 participants were nonsuicidal, while 56 and 13 had low and high suicide risks, respectively. The structured interview guide for the Hamilton Depression Rating Scale (HAMD) was adopted to assess suicide risk and depression severity. Suicide risk was clinician rated based on a suicide-related question (H11). The interviews were transcribed and the words in participants' verbal responses were translated into psychologically meaningful categories using Linguistic Inquiry and Word Count (LIWC). Results: Ordinal logistic regression revealed significant suicide-related language features in participants' responses to the HAMD questions. Increased use of anger words when talking about work and activities posed the highest suicide risk (odds ratio [OR] 2.91, 95% CI 1.22-8.55; P=.02). Random forest models demonstrated that text analysis of the direct responses to H11 was effective in identifying individuals with high suicide risk (AUC 0.76-0.89; P<.001) and detecting suicide risk in general, including both low and high suicide risk (AUC 0.83-0.92; P<.001). More importantly, suicide risk can be detected with satisfactory performance even without patients' disclosure of suicidal ideation. Based on the response to the question on hypochondriasis, ML models were trained to identify individuals with high suicide risk (AUC 0.76; P<.001). Conclusions: This study examined the perspective of using NLP and ML to analyze the texts from clinical interviews for suicidality detection, which has the potential to provide more accurate and specific markers for suicidal ideation detection. The findings may pave the way for developing high-performance assessment of suicide risk for automated detection, including online chatbot-based interviews for universal screening.
Language	English
Publishing date	2023-12-01
Publishing country	Canada
Document type	Journal Article
ZDB-ID	2798261-0
ISSN	2291-9694
ISSN	2291-9694
DOI	10.2196/50221
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Exploring student mental health and intention to use online counseling in Hong Kong during the COVID ‐19 pandemic

Li, Tim M. H. / Leung, Cassie S. Y.

Psychiatry and Clinical Neurosciences

2020 Volume 74, Issue 10, Page(s) 564–565

Keywords	General Neuroscience ; Neurology ; Psychiatry and Mental health ; Clinical Neurology ; General Medicine ; covid19
Language	English
Publisher	Wiley
Publishing country	us
Document type	Article ; Online
ZDB-ID	1292906-2
ISSN	1440-1819 ; 1323-1316
ISSN (online)	1440-1819
ISSN	1323-1316
DOI	10.1111/pcn.13117
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evaluation of a group-based sensorimotor intervention programme to improve Chinese handwriting of primary school students

Li-Tsang, Cecilia W.P. / Li, Tim M.H. / Yang, C.N. / Cheung, Phoebe P.P. / Au, K.Y. / Chan, Y.P. / Cheung, K.Y. / Ho, K.H. / Kwok, K.W. / Leung, Howard W.H.

Heliyon. 2023 Feb., v. 9, no. 2 p.e12554-

2023

Abstract: Sensorimotor performance is influential in Chinese handwriting, but few studies have examined the efficacy of sensorimotor-based interventions on Chinese handwriting among primary school students with poor handwriting performance. The study aims to ... ...

Abstract	Sensorimotor performance is influential in Chinese handwriting, but few studies have examined the efficacy of sensorimotor-based interventions on Chinese handwriting among primary school students with poor handwriting performance. The study aims to evaluate a sensorimotor-based intervention to improve handwriting in the mainstream primary schools. This study adopted a two-group pretest-posttest design. An 8-session group-based sensorimotor intervention was delivered to school-aged children (mean age = 8.1, 68% male). Group A had 2 sessions every week, while Group B had 4 sessions every week. Analysis of variance with repeated measures was used to test the effects. The intervention had a significant time effect (p < .05) in terms of improving handwriting process (d = 0.33-1.10), manual dexterity (d = 0.57), visual memory (d = 0.70), visual-spatial perception (d = 0.37), and motor and postural skills (d = 0.73). The effect sizes ranged from medium to large. For the handwriting process, time per character had a significant group × time interaction, with post hoc analysis showing that Group A had a significantly large effect (d = 1.89, p < .001) while Group B did not. The group-based sensorimotor intervention programme appeared to show improvements in students with fair skills in writing Chinese characters. It appears that the effect is better if the training sessions are spaced out in one month rather than intensively conducted within two weeks. It might be related to more involvement from parents, and students need more time for practice after the training sessions.
Keywords	analysis of variance ; elementary schools ; males ; memory ; Handwriting ; Sensorimotor ; Chinese ; Intervention ; Primary school students
Language	English
Dates of publication	2023-02
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2022.e12554
Database	NAL-Catalogue (AGRICOLA)

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