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Man Meng

Datos Biográficos

ID7970834
NOMBREMan Meng
NOMBRESMan
APELLIDOMeng
FIRMAMENG M
AFILIACIONESFirst Affiliated Hospital of Liaoning Medical University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Latent profile analysis of depression in elderly patients with cardio- and cerebrovascular diseases in China– based on CLHLS data

    Open Access•Man Meng, Zheng Chen et al.•ARTICLE•Frontiers in Psychiatry•2025

    The 1890 study participants were divided into a low-level group (11%), a medium-level group (52%), and a high-level group (37%). The results of the univariate analysis showed statistically significant differences in the distribution of gender, age, co-residence, self-reported health, main source of financial support, marital status, diabetes, smoke, drank, exercise, level of anxiety, and IADL in the three profiles. Multiple logistic regression sh…

Sin obras prominentes en esta página.

  • Latent profile analysis of depression in elderly patients with cardio- and cerebrovascular diseases in China– based on CLHLS data

    Open Access•Man Meng, Zheng Chen et al.•ARTICLE•Frontiers in Psychiatry•2025

    The 1890 study participants were divided into a low-level group (11%), a medium-level group (52%), and a high-level group (37%). The results of the univariate analysis showed statistically significant differences in the distribution of gender, age, co-residence, self-reported health, main source of financial support, marital status, diabetes, smoke, drank, exercise, level of anxiety, and IADL in the three profiles. Multiple logistic regression sh…

Aging and Gerontology Research (1 obra) · Anxiety (1 obra) · Cardiac Health and Mental Health (1 obra) · Depression (economics (1 obra) · Environmental health (1 obra) · Health disparities and outcomes (1 obra) · Internal Medicine (1 obra) · Latent class model (1 obra) · Logistic regression (1 obra) · Marital status (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae