Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Xiaocong Li

Biographic Data

ID7723248
NAMEXiaocong Li
GIVEN NAMESXiaocong
FAMILY NAMELi
SIGNATURELI X
AFFILIATIONSUniversity of Arkansas for Medical Sciences
ORCID0000-0001-9908-0888
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Retracted Article: Research on artificial intelligence learning system based on psychological knowledge to adjust anxiety and depression

    Xiaocong Li, Pengfei Zhou et al.•ARTICLE•Behaviour and Information…•2023

    As a countermeasure to an increasing occurrence of mental illness worldwide, monitoring mental health has received significant attention. The application of artificial intelligence to mental health has immense potential to personalise treatment selection, monitoring, reoccurrence prediction, diagnosis, and prevention of disorders of mental well-being before they are symptomatic at clinical levels and even treating them. Therefore, in this paper, …

  • Associations of dietary copper intake with cardiovascular disease and mortality: Findings from the Chinese Perspective Urban and Rural Epidemiology (Pure-China) Study

    Open Access•Xiaocong Li, Mahshid Dehghan et al.•ARTICLE•BMC Public Health•2023

    Our findings demonstrated that excessive dietary copper intake was associated with higher risks of death and cardiovascular diseases in Chinese adults. Further studies in populations with different dietary characteristics are needed to obtain dose-response relationships and to refine global dietary recommendations

  • Physical Activity and Diabetes-related Health Beliefs of Marshallese Adults

    Holly C Felix, Holly Felix et al.•ARTICLE•American Journal of Health Behavior•2017

    These findings help fill gaps in Pacific Islander health literature and will inform public health interventions to improve rates of physical activity among the Marshallese and other Pacific Islander communities

No prominent works on this page.

  • Physical Activity and Diabetes-related Health Beliefs of Marshallese Adults

    Holly C Felix, Holly Felix et al.•ARTICLE•American Journal of Health Behavior•2017

    These findings help fill gaps in Pacific Islander health literature and will inform public health interventions to improve rates of physical activity among the Marshallese and other Pacific Islander communities

  • Retracted Article: Research on artificial intelligence learning system based on psychological knowledge to adjust anxiety and depression

    Xiaocong Li, Pengfei Zhou et al.•ARTICLE•Behaviour and Information…•2023

    As a countermeasure to an increasing occurrence of mental illness worldwide, monitoring mental health has received significant attention. The application of artificial intelligence to mental health has immense potential to personalise treatment selection, monitoring, reoccurrence prediction, diagnosis, and prevention of disorders of mental well-being before they are symptomatic at clinical levels and even treating them. Therefore, in this paper, …

  • Associations of dietary copper intake with cardiovascular disease and mortality: Findings from the Chinese Perspective Urban and Rural Epidemiology (Pure-China) Study

    Open Access•Xiaocong Li, Mahshid Dehghan et al.•ARTICLE•BMC Public Health•2023

    Our findings demonstrated that excessive dietary copper intake was associated with higher risks of death and cardiovascular diseases in Chinese adults. Further studies in populations with different dietary characteristics are needed to obtain dose-response relationships and to refine global dietary recommendations

Demography (2 works) · Demography (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Population (2 works) · Psychology (2 works) · Anxiety (1 works) · Applied Psychology (1 works) · Artificial Intelligence (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae