Xiaolong Zhang

ORCID: 0000-0003-2964-0485
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About
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Research Areas
  • Digital Mental Health Interventions
  • Mental Health Research Topics
  • Mental Health Treatment and Access
  • Schizophrenia research and treatment
  • Hormonal and reproductive studies
  • Sexual function and dysfunction studies
  • Healthcare Systems and Reforms
  • Primary Care and Health Outcomes
  • Impact of Technology on Adolescents
  • Diabetes Treatment and Management
  • Healthcare Policy and Management
  • Pituitary Gland Disorders and Treatments
  • Mobile Health and mHealth Applications
  • Urinary Bladder and Prostate Research
  • Immune Response and Inflammation
  • Neonatal Respiratory Health Research
  • Evolutionary Psychology and Human Behavior
  • Marriage and Sexual Relationships
  • Receptor Mechanisms and Signaling
  • Ophthalmology and Eye Disorders
  • Telemedicine and Telehealth Implementation
  • Emotion and Mood Recognition
  • EEG and Brain-Computer Interfaces
  • Adrenal Hormones and Disorders
  • Airway Management and Intubation Techniques

Manchester Academic Health Science Centre
2021-2025

University of Manchester
2021-2025

Beijing Anding Hospital
2019-2024

Capital Medical University
2012-2024

Jiangsu Food and Pharmaceutical Science College
2023-2024

People's Hospital of Kaizhou District
2024

Shaoxing People's Hospital
2023

Jiangjin Central Hospital
2021

Xi'an Jiaotong University
2019-2021

Xijing Hospital
2021

Emotional decoding and automatic identification of major depressive disorder (MDD) is helpful to doctors in diagnosis the disease on time, electroencephalogram (EEG) sensitive changes functional state human brain, showing its potential help diagnose MDD. In this paper, an approach for identifying MDD by fusing interhemispheric asymmetry cross correlation with EEG signals proposed tested 32 subjects (16 16 healthy controls (HC)). First, structure feature connectivity theta, alpha beta band...

10.3389/fnhum.2020.00284 article EN cc-by Frontiers in Human Neuroscience 2020-09-23

Abstract Background Digital health technologies (DHTs) for psychosis have been developed and tested rapidly in recent years. However, research examining mental professionals’ views on the use of DHTs people with is limited. Given increased accessibility availability psychosis, an up-to-date understanding staff perception warranted. Objective In this study, we aimed to investigate usage technology their service users’ usage; toward including concerns; barriers implementing a setting. Methods...

10.2196/68362 article EN cc-by JMIR Mental Health 2025-03-31

Abstract Background Given the rapid expansion of research into digital health interventions (DHIs) for severe mental illness (SMI; eg, schizophrenia and other psychosis diagnoses), there is an emergent need clear safety measures. Currently, measurement reporting adverse events (AEs) are inconsistent across studies. Therefore, international network, iCharts, was assembled to systematically identify refine a set standard operating procedures (SOPs) AE in DHI studies SMI. Design The iCharts...

10.1093/schbul/sbae048 article EN cc-by Schizophrenia Bulletin 2024-04-29

Abstract Background Recently, the World Health Organization has declared coronavirus disease 2019 (COVID-19) outbreak a public health emergency of international concern. So far, however, limited data are available for children. Therefore, we aimed to investigate clinical and chest CT imaging characteristics COVID-19 in preschool Methods From January 26, 2020 February 20, 2020, initial eight children with laboratory-confirmed from two hospitals were retrospectively collected. The...

10.1186/s12887-020-02140-7 article EN cc-by BMC Pediatrics 2020-05-18

Background Psychosis causes a significant burden globally, including in China, where limited mental health resources hinder access to care. Smartphone-based remote monitoring offers promising solution. This study aimed assess the validity, feasibility, acceptability, and safety of symptom self-monitoring smartphone app, YouXin, for people with psychosis China. Methods A pre-registered non-randomised validity feasibility mixed-methods design. Participants were recruited from major tertiary...

10.1177/20552076231222097 article EN cc-by-nc-nd Digital Health 2024-01-01

Monitoring inequalities in chronic disease prevalence and their preventive care can help build effective strategies to improve health equality. Using hypertension diabetes as a model, this study measures decomposes socioeconomic among Chinese adults aged 45 years older Shaanxi Province, an underdeveloped western region of China.Data 27,728 respondents who participated the fifth National Health Services Survey conducted 2013 Province were analyzed. The relative indexes based on Poisson...

10.1186/s12889-019-7835-5 article EN cc-by BMC Public Health 2019-11-06

Abstract Background Family physician-contracted service (FPCs) has been recently implemented in Chinese primary care settings. This study was aimed at measuring the effects of FPCs on residents’ health-related quality life (HRQoL) and equity health among population. Methods The data drawn from 2018 household survey (Shaanxi Province, China) using multistage, stratified cluster random sampling. We measured HRQoL EQ-5D-3L based Chinese-specific time trade-off values set. Coarsened exact...

10.1186/s12939-020-01348-4 article EN cc-by International Journal for Equity in Health 2021-01-06

Major depressive disorder (MDD) is a prevalent mental health condition and has become pressing societal challenge. Early prediction of treatment response may aid in the rehabilitation engineering depression, which great practical significance for relief suffering burden MDD. In this paper, we present sequence modeling approach that uses data collected by passive sensing techniques to predict patients with an outcome responded defined reduction clinical administrated scales. Hundreds MDD have...

10.1109/tnsre.2023.3260301 article EN cc-by-nc-nd IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023-01-01

Objectives The use of social media is prevalent in society; however, existing evidence not sufficient to conclude whether the benefits can outweigh risks for people with psychosis. In response a recent call staff take more active role asking and advising service users about impact using platforms on their mental health clinical practice, we sought understand staff's attitudes toward psychosis day-to-day life. Methods A cross-sectional survey was disseminated from April 2018 September 2020...

10.1177/20552076251321059 article EN cc-by-nc-nd Digital Health 2025-01-01

The Genome Sequence Archive Family (GSA family) provides a suite of database resources for archiving, retrieving, and sharing multi-omics data the global academic industrial communities. It currently comprises four distinct members: (GSA, https://ngdc.cncb.ac.cn/gsa/), Human (GSA-Human, https://ngdc.cncb.ac.cn/gsa-human/), open Miscellaneous Data (OMIX, https://ngdc.cncb.ac.cn/omix/), Open Biomedical Imaging (OBIA, https://ngdc.cncb.ac.cn/obia). Compared to 2021 version, GSA family has...

10.1101/2025.03.31.646270 preprint EN cc-by 2025-04-07

Abstract Background Current approaches to mental healthcare for people with severe health problems are limited by sporadic monitoring and symptom recall bias. Emotional behavioural markers generated digital technologies (DHTs) offer the potential enhance quality of care clinical decision-making. This study explored early psychosis service users’ views experiences using a remote tool (ClinTouch app). Methods Qualitative framework analysis was undertaken interview data collected from...

10.1186/s12888-025-06859-4 article EN cc-by BMC Psychiatry 2025-04-16

Abstract Background and Hypothesis Digital remote monitoring (DRM) captures service users’ health-related data remotely using devices such as smartphones wearables. Data can be analyzed advanced statistical methods (eg, machine learning) shared with clinicians to aid assessment of people psychosis’ mental health, enabling timely intervention. Such show promise in detecting early signs psychosis relapse. However, little is known about clinicians’ views on the use DRM for psychosis. This study...

10.1093/schbul/sbaf043 article EN cc-by Schizophrenia Bulletin 2025-05-07

Abstract Background Conventional approaches for major depressive disorder (MDD) screening rely on two effective but subjective paradigms: self-rated scales and clinical interviews. Artificial intelligence (AI) can potentially contribute to psychiatry, especially through the use of objective data such as audiovisual signals. Objective This study aimed evaluate efficacy different paradigms using AI analysis Methods We recruited 89 participants (mean age, 37.1 years; male: 30/89, 33.7%; female:...

10.2196/56057 article EN cc-by JMIR Formative Research 2025-05-30

Using digital health technologies (DHTs) to deliver and augment healthcare is an innovative way solve common challenges that the mental setting faces. Despite China's rapid development of DHT, a comprehensive understanding staff views DHTs lacking, which limited evidence support implementation strategies. In current study, we aim to: (i) investigate attitudes towards technology for problems in China; (ii) explore staff's on facilitators barriers regarding uptake adoption services (iii)...

10.1016/j.invent.2022.100576 article EN cc-by-nc-nd Internet Interventions 2022-09-25

Abstract Background Access to high-quality mental healthcare remains challenging for people with psychosis globally, including China. Smartphone-based symptom monitoring has the potential support scalable healthcare. However, no such tool, until now, been developed and evaluated in This study investigated acceptability experience of using a self-monitoring smartphone app (YouXin) specifically Methods Semi-structured interviews were conducted 10 participants explore YouXin. Participants...

10.1186/s12888-024-05687-2 article EN cc-by BMC Psychiatry 2024-04-09
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