LZLi Zhang

Li Zhang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Li Zhang has a total of 12 co-authors. Here are the top co-authors by number of shared publications:

  • Yan Li

    Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Qingdao University

    2 shared publications
  • Chun-Jie Yin

    National Health Commission Key Laboratory of Reproductive Health, Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China

    1 shared publication
  • Guiju Zhang

    The First Clinical Medical College of Shandong University of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine

    1 shared publication
  • Hai-Jun Wang

    Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China

    1 shared publication
  • Huijuan Liu

    Clinical Research Center for Child Health and Disorders, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University

    1 shared publication
  • Jiaolong Ma

    School of Public Health, Shihezi University, Shihezi 832000, China

    1 shared publication

Latest Publications

  • Open Access

    Dietary Behaviours Mediate Intervention Effects on Body Composition Outcomes in Children: Evidence from a Cluster-Randomised Controlled Trial

    by Li Zhang, Lu Wang, Chun-Jie Yin, Yu-Qi Duan, Jiaolong Ma, Shi-Yu Yan, Yit Siew Chin, Yan Li, Hai-Jun Wang

    Background/Objectives: Few paediatric obesity trials have examined behavioural mediators of intervention effects on detailed body composition outcomes beyond body mass index (BMI). Given the complexity of multiple correlated body composition indicators, this study aimed to employ principal component analysis (PCA) to derive a composite adiposity factor and to apply mediation analysis to identify whether changes in dietary behaviours and physical activity mediated the effects of the DECIDE-Children intervention on body composition. Methods: This study included 1180 children from a 9-month cluster-randomised controlled trial that delivered a multifaceted, digitally assisted intervention targeting children (health education, physical activity reinforcement, and app-based BMI monitoring/feedback) and their environments (school food policies and family engagement). Outcomes were changes in body composition (whole-body and trunk fat mass, fat-free mass, and muscle mass indices measured by bioelectrical impedance analysis). Potential mediators included changes in dietary behaviour, screen time, and moderate-to-vigorous physical activity (MVPA), assessed via validated questionnaires. PCA was used to reduce the dimensionality of body composition variables and to derive a composite adiposity factor (PCA_1), with higher values indicating greater adiposity and lower muscle mass. Mediation was tested using linear mixed-effects models adjusted for age, sex, and region. Results: The intervention significantly reduced adiposity indicators (e.g., whole-body and trunk fat mass percentage decreased by 1.003%, and PCA_1 decreased by 0.942 SD) and concurrently increased fat-free mass percentage and muscle mass percentage at both whole-body and trunk levels. Dietary behaviour significantly mediated the intervention effects on all body composition outcomes (e.g., mediating 16.1% of the effect on PCA_1), whereas physical activity (both screen time and MVPA) showed no mediation. Sensitivity analyses supported the primary findings. Conclusions: The DECIDE-Children intervention improved body composition by reducing adiposity and increasing fat-free and muscle mass percentage, effects primarily mediated by dietary behaviour. These findings highlight dietary behaviour as a key component in paediatric obesity intervention.

  • Open Access

    RITA-T (rapid interactive screening test for autism in toddlers): a scoping review of psychometric properties, cross-cultural validation, and clinical applications

    by Huijuan Liu, Guiju Zhang, Ziyun Li, Ting Zhang, Li Zhang, Yan Li

    Background: The Rapid Interactive Screening Test for Autism in Toddlers (RITA-T) is a clinician-administered, interactive screening instrument for toddlers aged 18–36 months that directly assesses core social-communicative abilities through structured play. Since its introduction in 2015, validation studies have emerged across diverse populations and cultural contexts. Objective: This scoping review systematically maps the evidence on RITA-T’s development, psychometric properties, cross-cultural validation, clinical applications, and comparison with other level 2 screening instruments. Methods: A systematic search of PubMed, Web of Science, Scopus, PsycINFO, and CNKI was conducted through June 2026. Studies reporting original data on RITA-T administration in toddlers aged 18–36 months were included. Methodological quality was assessed using the QUADAS-2 tool. Results: Of 48 records identified, 10 original studies met the inclusion criteria: 7 diagnostic validation studies encompassing 659 toddlers across five countries (United States, Canada, Lebanon, Turkey, and China) and 3 implementation or training studies. RITA-T yielded strong psychometric properties across settings, with reported cutoff scores of 14–17, sensitivity of 0.74–1.00, and specificity of 0.50–1.00. Cross-cultural adaptations demonstrated comparable diagnostic accuracy across English, Arabic, Turkish, and Chinese versions. Conclusions: RITA-T represents an effective level 2 ASD screening tool with robust cross-cultural applicability. Future research should address long-term predictive validity, telehealth adaptation, and cost-effectiveness.