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Zu-mu Zhou

Biographic Data

ID7761391
NAMEZu-mu Zhou
GIVEN NAMESZu-mu
FAMILY NAMEZhou
SIGNATUREZHOU Z
AFFILIATIONSWenzhou Medical University
ORCID0000-0002-5526-7808
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2026
H-INDEX0
  • The relationship between HIV infection and depression and their determinants in the MSM population in Eastern China

    Open Access•Yiwei Zhou, Zejie Zhang et al.•ARTICLE•BMC Psychology•2026

    The prevalence of depression is high in the MSM population. Marital status, age and employment status are influential factors for depression in the MSM population. Decision tree modelling combined with logistic regression could be considered as an assessment tool for the relationship between HIV infection and depression and their correlates in the MSM population

  • Sensitization to common foods and early vascular aging

    Open Access•Ruming Shen, Shuaijie Chen et al.•ARTICLE•BMC Public Health•2025

    The findings that common foods sensitization is independently associated with EVA, and that MVA and adequate sleep duration mitigate the association, have significant public health implications. Further research is needed to elucidate the mechanisms

  • Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale Covid-19 outbreak

    Open Access•Yiwei Zhou, Zejie Zhang et al.•ARTICLE•BMC Psychology•2024

    Objectives COVID-19 epidemics often lead to elevated levels of depression. To accurately identify and predict depression levels in home-quarantined individuals during a COVID-19 epidemic, this study constructed a depression prediction model based on multiple machine learning algorithms and validated its effectiveness. Methods A cross-sectional method was used to examine the depression status of individuals quarantined at home during the epidemic …

  • Impacting factors and sources of perceived stress by home-quarantined residents in Shanghai during Covid-19 epidemic

    Open Access•Yiwei Zhou, Zhihui Chen et al.•ARTICLE•BMC Public Health•2023

    Home-quarantine applied to people negative for COVID-19 led to a lot of major concerns that may be perceived stressful, whereas the virus-related factors did not show significant impact on mental health of the respondents

  • Status and risk factors of unintentional injuries among Chinese undergraduates

    Open Access•Hongying Shi, Xinjun Yang et al.•ARTICLE•BMC Public Health•2011

    Injuries have become a public health problem among undergraduates. Falls were the major cause of non-fatal injury. Therefore, individuals, families, schools and governments should promptly adopt preventive measures aimed at preventing and controlling morbidity due to non-fatal injury, especially among students identified to be at high-risk; such as male students with type A behaviour pattern who like sports

No prominent works on this page.

  • Status and risk factors of unintentional injuries among Chinese undergraduates

    Open Access•Hongying Shi, Xinjun Yang et al.•ARTICLE•BMC Public Health•2011

    Injuries have become a public health problem among undergraduates. Falls were the major cause of non-fatal injury. Therefore, individuals, families, schools and governments should promptly adopt preventive measures aimed at preventing and controlling morbidity due to non-fatal injury, especially among students identified to be at high-risk; such as male students with type A behaviour pattern who like sports

  • Impacting factors and sources of perceived stress by home-quarantined residents in Shanghai during Covid-19 epidemic

    Open Access•Yiwei Zhou, Zhihui Chen et al.•ARTICLE•BMC Public Health•2023

    Home-quarantine applied to people negative for COVID-19 led to a lot of major concerns that may be perceived stressful, whereas the virus-related factors did not show significant impact on mental health of the respondents

  • Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale Covid-19 outbreak

    Open Access•Yiwei Zhou, Zejie Zhang et al.•ARTICLE•BMC Psychology•2024

    Objectives COVID-19 epidemics often lead to elevated levels of depression. To accurately identify and predict depression levels in home-quarantined individuals during a COVID-19 epidemic, this study constructed a depression prediction model based on multiple machine learning algorithms and validated its effectiveness. Methods A cross-sectional method was used to examine the depression status of individuals quarantined at home during the epidemic …

  • Sensitization to common foods and early vascular aging

    Open Access•Ruming Shen, Shuaijie Chen et al.•ARTICLE•BMC Public Health•2025

    The findings that common foods sensitization is independently associated with EVA, and that MVA and adequate sleep duration mitigate the association, have significant public health implications. Further research is needed to elucidate the mechanisms

  • The relationship between HIV infection and depression and their determinants in the MSM population in Eastern China

    Open Access•Yiwei Zhou, Zejie Zhang et al.•ARTICLE•BMC Psychology•2026

    The prevalence of depression is high in the MSM population. Marital status, age and employment status are influential factors for depression in the MSM population. Decision tree modelling combined with logistic regression could be considered as an assessment tool for the relationship between HIV infection and depression and their correlates in the MSM population

Biostatistics (3 works) · Environmental health (3 works) · Epidemiology (3 works) · Medicine (3 works) · Public health (3 works) · COVID-19 and Mental Health (2 works) · Depression (economics (2 works) · Internal Medicine (2 works) · Logistic regression (2 works) · Population (2 works)

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