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Man Meng

Dados Biográficos

ID7970834
NOMEMan Meng
PRENOMESMan
SOBRENOMEMeng
ASSINATURAMENG M
AFILIAÇÕESFirst Affiliated Hospital of Liaoning Medical University
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
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…

Sem obras proeminentes nesta 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 • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae