Haiyun Chu
Biographic Data
| ID | 7971657 |
|---|---|
| NAME | Haiyun Chu |
| GIVEN NAMES | Haiyun |
| FAMILY NAME | Chu |
| SIGNATURE | CHU H |
| AFFILIATIONS | Harbin Medical University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Deep neural network for prediction of diet quality among doctors and nurses in North China during the Covid-19 pandemic
Objective The COVID-19 pandemic has placed unprecedented pressure on front-line healthcare workers, leading to poor health status, especially diet quality. This study aimed to develop a diet quality prediction model and determine the predictive effects of personality traits, socioeconomic status, lifestyles, and individual and working conditions on diet quality among doctors and nurses during the COVID-19 pandemic. Methods A total of 5,013 doctor…
Factors Influencing Post-traumatic Stress Symptoms in Chinese Adolescents During the Covid-19 Pandemic
To investigate the prevalence of post-traumatic stress symptoms (PTSSs) and analyze the influencing factors of PTSS among adolescents in a large sample study during the COVID-19 pandemic, we did a cross-sectional study by collecting demographic data and mental health measurements from a large group of 175,318 adolescents in 32 Chinese provinces and autonomous regions, using the Impact of Event Scale-Revised (IES-R) that was used to measure the PT…
Social Support and Suicide Risk Among Chinese University Students
Background: World Health Organization recognizes suicide as a public health priority. This study aimed to investigate the risk life events which led university students to consider suicide and explore the protective mechanism of social support (including subjective support, objective support, and support utilization) on suicide risk. Methods: Three thousand nine hundred and seventy-two university students were recruited in Harbin, China. Social S…
Psychological Impact of Covid-19 Epidemic on Adolescents
Background: The COVID-19 pandemic is a major public health emergency. However, little is known about the psychological impact of this pandemic on adolescents. We aim to assess the prevalence and influencing factors of depression, anxiety, and posttraumatic growth (PTG) among adolescents in a large sample study. Methods: This cross-sectional study collected demographic data and mental health measurements from 175,416 adolescents covering 31 provin…
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Social Support and Suicide Risk Among Chinese University Students
Background: World Health Organization recognizes suicide as a public health priority. This study aimed to investigate the risk life events which led university students to consider suicide and explore the protective mechanism of social support (including subjective support, objective support, and support utilization) on suicide risk. Methods: Three thousand nine hundred and seventy-two university students were recruited in Harbin, China. Social S…
Psychological Impact of Covid-19 Epidemic on Adolescents
Background: The COVID-19 pandemic is a major public health emergency. However, little is known about the psychological impact of this pandemic on adolescents. We aim to assess the prevalence and influencing factors of depression, anxiety, and posttraumatic growth (PTG) among adolescents in a large sample study. Methods: This cross-sectional study collected demographic data and mental health measurements from 175,416 adolescents covering 31 provin…
Factors Influencing Post-traumatic Stress Symptoms in Chinese Adolescents During the Covid-19 Pandemic
To investigate the prevalence of post-traumatic stress symptoms (PTSSs) and analyze the influencing factors of PTSS among adolescents in a large sample study during the COVID-19 pandemic, we did a cross-sectional study by collecting demographic data and mental health measurements from a large group of 175,318 adolescents in 32 Chinese provinces and autonomous regions, using the Impact of Event Scale-Revised (IES-R) that was used to measure the PT…
Deep neural network for prediction of diet quality among doctors and nurses in North China during the Covid-19 pandemic
Objective The COVID-19 pandemic has placed unprecedented pressure on front-line healthcare workers, leading to poor health status, especially diet quality. This study aimed to develop a diet quality prediction model and determine the predictive effects of personality traits, socioeconomic status, lifestyles, and individual and working conditions on diet quality among doctors and nurses during the COVID-19 pandemic. Methods A total of 5,013 doctor…
Medicine (4 works) · Psychology (4 works) · COVID-19 and Mental Health (3 works) · Disease (3 works) · Mental health (3 works) · Pandemic (3 works) · Psychiatry (3 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Coronavirus disease 2019 (COVID-19 (2 works)