Yeen Huang
Biographic Data
| ID | 7619186 |
|---|---|
| NAME | Yeen Huang |
| GIVEN NAMES | Yeen |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG Y |
| AFFILIATIONS | Southern University of Science and Technology |
| ORCID | 0000-0002-3524-9784 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Role of Life’s Essential 8 in the association of night shift work with cardiovascular disease and mortality: A prospective cohort study of UK Biobank participants
Background: Night shift work is linked to higher risks of cardiovascular disease (CVD) and mortality, but mechanisms remain unclear. Lifestyle, captured by the American Heart Association's Life's Essential 8 (LE8), may act as a modifiable mediator. We aimed to examine the associations of night shift work with CVD and mortality and quantify the mediating role of LE8. Methods: We analysed 131,844 employed participants without baseline CVD from the …
Negative parenting style and depressive symptoms among college students: A longitudinal moderated mediation model involving eating disorders, ethnicity and maladaptive cognitive emotion regulation str…
The study indicates that negative parenting styles contribute to depressive symptoms among college students through EDs. Maladaptive CERS amplify the impact of EDs on depressive symptoms, suggesting the importance of addressing these strategies in preventive and therapeutic settings. This research underscores the need for interventions targeting family dynamics and emotional regulation to mitigate depressive symptoms in vulnerable populations
Evaluating ChatGPT-4.0’s data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R
Background: OpenAI's Chat Generative Pre-trained Transformer 4.0 (ChatGPT-4), an emerging artificial intelligence (AI)-based large language model (LLM), has been receiving increasing attention from the medical research community for its innovative 'Data Analyst' feature. We aimed to compare the capabilities of ChatGPT-4 against traditional biostatistical software (i.e. SAS, SPSS, R) in statistically analysing epidemiological research data. Method…
Investigating the mechanisms of internet gaming disorder and developing intelligent monitoring models using artificial intelligence technologies: Protocol of a prospective cohort
The study aims to understand the interplay between individual and environmental factors in IGD, incorporating age-related changes and game features. Active monitoring and early intervention are critical for preventing IGD. Despite limitations in geographic scope and biological data collection, the study's innovative design and methodologies offer valuable contributions to public health, promoting effective interventions for high-risk individuals
Generalized anxiety disorder, depressive symptoms and sleep quality during Covid-19 outbreak in China: A web-based cross-sectional survey
Chinese Sexual Minority Male Adolescents’ Suicidality and Body Mass Index
Excess weight status may increase the risk of suicidality among sexual minority females, but few studies have examined this suicidality disparity in sexual minority males. This study examined the association between sexual minority status and suicide attempts in Chinese male adolescents and tested whether body mass index (BMI) had a moderating effect on that association. Data were collected from 7th to 12th graders from seven randomly selected pr…
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Chinese Sexual Minority Male Adolescents’ Suicidality and Body Mass Index
Excess weight status may increase the risk of suicidality among sexual minority females, but few studies have examined this suicidality disparity in sexual minority males. This study examined the association between sexual minority status and suicide attempts in Chinese male adolescents and tested whether body mass index (BMI) had a moderating effect on that association. Data were collected from 7th to 12th graders from seven randomly selected pr…
Generalized anxiety disorder, depressive symptoms and sleep quality during Covid-19 outbreak in China: A web-based cross-sectional survey
Evaluating ChatGPT-4.0’s data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R
Background: OpenAI's Chat Generative Pre-trained Transformer 4.0 (ChatGPT-4), an emerging artificial intelligence (AI)-based large language model (LLM), has been receiving increasing attention from the medical research community for its innovative 'Data Analyst' feature. We aimed to compare the capabilities of ChatGPT-4 against traditional biostatistical software (i.e. SAS, SPSS, R) in statistically analysing epidemiological research data. Method…
Investigating the mechanisms of internet gaming disorder and developing intelligent monitoring models using artificial intelligence technologies: Protocol of a prospective cohort
The study aims to understand the interplay between individual and environmental factors in IGD, incorporating age-related changes and game features. Active monitoring and early intervention are critical for preventing IGD. Despite limitations in geographic scope and biological data collection, the study's innovative design and methodologies offer valuable contributions to public health, promoting effective interventions for high-risk individuals
Negative parenting style and depressive symptoms among college students: A longitudinal moderated mediation model involving eating disorders, ethnicity and maladaptive cognitive emotion regulation str…
The study indicates that negative parenting styles contribute to depressive symptoms among college students through EDs. Maladaptive CERS amplify the impact of EDs on depressive symptoms, suggesting the importance of addressing these strategies in preventive and therapeutic settings. This research underscores the need for interventions targeting family dynamics and emotional regulation to mitigate depressive symptoms in vulnerable populations
Role of Life’s Essential 8 in the association of night shift work with cardiovascular disease and mortality: A prospective cohort study of UK Biobank participants
Background: Night shift work is linked to higher risks of cardiovascular disease (CVD) and mortality, but mechanisms remain unclear. Lifestyle, captured by the American Heart Association's Life's Essential 8 (LE8), may act as a modifiable mediator. We aimed to examine the associations of night shift work with CVD and mortality and quantify the mediating role of LE8. Methods: We analysed 131,844 employed participants without baseline CVD from the …
Medicine (3 works) · Body mass index (2 works) · Cohort (2 works) · Cohort study (2 works) · Computer Science (2 works) · Environmental health (2 works) · Prospective cohort study (2 works) · Psychiatry (2 works) · Psychology (2 works) · Public health (2 works)