the-associations-between-multi-theory-model-mtm-constructs-health

The Associations between Multi-Theory Model (MTM) Constructs and Health Behavior Change among College Students: A Systematic Review and Meta-Analysis

This study aims to explore the role of the Multi-Theory Model (MTM) in health behavior change among college students, to quantify the strength of the ...

strengthening-frontline-qualitative-evaluation-emergency-response

Strengthening the Frontline: A Qualitative Evaluation of Emergency Response Capacity at Grassroots CDCs in Post-Pandemic China

As the first responders in public health emergencies, grassroots Centers for Disease Control and Prevention (CDCs) play a critical role in emergency ...

effectiveness-digital-health-interventions-on-stress-anxiety

Effectiveness of Digital Health Interventions on Stress, Anxiety, and Depression in University Students: A Systematic Review and Meta-Analysis

Stress, anxiety, and depression are among the most common mental health problems experienced by university students. The aim of this study was to ...

development-validation-depression-risk-prediction-model-for-home

Development and Validation of a Depression Risk Prediction Model for Home-Dwelling Middle-Aged and Older Adults in China Based on CHARLS Data

There is a lack of research on risk prediction models for depressive symptoms among home-dwelling middle-aged and elderly adults in China. This study ...

Xinyu University

The performance of primary health care providers regarding DM management is poor in rural China, and effective training methods for providers are urgently needed. This study aimed to evaluate the effect of web-based training for improving knowledge about DM management among primary health care providers in rural China and to further compare the effects of the training effect between primary health care providers with different backgrounds.

The effect of a web-based training for improving primary health care providers' knowledge about diabetes mellitus management in rural China: A pre-post intervention study.

The development of "Internet + nursing services" can effectively solve the problem of population aging, and grassroots nurses are the primary providers of such services in rural areas. This study aimed to analyze the factors affecting grassroots nurses' risk perception of "Internet + nursing services" and construct a predictive model.

Construction and Evaluation of a Predictive Model for Grassroots Nurses' Risk Perception of "Internet + Nursing Services": A Multicenter Cross-Sectional Study.

To build a 30-day unplanned readmission (UPR) risk prediction model based on machine learning (ML) and SHapley Additive exPlanation (SHAP) with data obtained from the electronic medical records (EMRs) of patients with schizophrenia, so as to provide support for early intervention in clinical treatment.

ArticleTotal : 4	Year
Publication title	2025
Publication title	2025
Publication title	2026
Publication title	2026

Article	Year
The effect of a web-based training for improving primary health care providers' knowledge about diabetes mellitus management in rural China: A pre-post intervention study. PloS one\| PubMed ID: 31550282	2019
Construction and Evaluation of a Predictive Model for Grassroots Nurses' Risk Perception of "Internet + Nursing Services": A Multicenter Cross-Sectional Study. Journal of multidisciplinary healthcare\| PubMed ID: 39319050	2024
Machine Learning and Interpretability Study for Predicting 30-Day Unplanned Readmission Risk of Schizophrenia: A Retrospective Study. Neuropsychiatric disease and treatment\| PubMed ID: 40756124	2025

Xingxin Zhan

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