Haobiao Liu
Biographic Data
| ID | 7687485 |
|---|---|
| NAME | Haobiao Liu |
| GIVEN NAMES | Haobiao |
| FAMILY NAME | Liu |
| SIGNATURE | LIU H |
| AFFILIATIONS | Xi'an Jiaotong University |
| ORCID | 0000-0003-0843-6899 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Interconnected associations of occupational burnout, anxiety, and sleep quality in oilfield workers
Background Occupational burnout and poor sleep quality are increasingly prevalent among oilfield workers, exposed to high-stress environments and irregular shifts. Emerging evidence indicates that anxiety may mediate the link between burnout and sleep disturbances, though empirical data in this group remain limited. Methods A cross-sectional survey was conducted among 1,617 oilfield workers in Shaanxi Province, China. Sleep quality, anxiety, and …
Overweight or obesity and their association with cardiometabolic risk factors among oilfield workers in Chinese population
Objectives Overweight and obesity are major factors associated with cardiometabolic disorders, yet evidence from occupational populations remains limited. This study aimed to assess the association between body mass index (BMI) and six cardiometabolic risk factors (CRFs)—hypertension, diabetes, high total cholesterol (TC), high triglycerides (TG), high low-density lipoprotein cholesterol (LDL-C), and low high-density lipoprotein cholesterol (HDL-…
Association between different metabolic obesity phenotypes and hyperuricemia
Background: Hyperuricemia (HUA) is a rapidly increasing metabolic disorder that is closely linked to obesity, nonalcoholic fatty liver disease and cardiometabolic diseases. However, the relationships between different metabolic obesity phenotypes and HUA, and the potential modifying role of liver enzymes, remain unclear, particularly in occupational populations. Methods: In this cross-sectional study, we enrolled 1,867 Chinese oilfield workers un…
Machine learning-based prediction of osteoporosis in prefrail and frail older adults
Osteoporosis poses significant risks in frail older adults. While oxidative stress influences bone metabolism and dietary antioxidants may provide protection, their predictive value for osteoporosis risk remains underexplored. To develop machine learning models predicting osteoporosis in frail older adults and evaluate dietary antioxidant contributions using SHapley Additive exPlanations (SHAP). Data from NHANES 2007–2010 and 2017–2018 cycles inc…
Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions
Aims: The current study aims to investigate the consistency between the surveyees' self-reported disease diagnosis and clinical assessment of eight major chronic conditions using community-based survey data collected in Xi'an, China in 2017. With a focus on under-reporting patients, we aim to explore its magnitude and associated factors, to provide an important basis for disease surveillance, health assessment and resource allocation, and public …
The Vulnerability to Methamphetamine Dependence and Genetics
We demonstrated that genetic polymorphism rs14251 located at 5q31.3 was significantly associated with the vulnerability to METH dependence in Han Chinese population
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The Vulnerability to Methamphetamine Dependence and Genetics
We demonstrated that genetic polymorphism rs14251 located at 5q31.3 was significantly associated with the vulnerability to METH dependence in Han Chinese population
Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions
Aims: The current study aims to investigate the consistency between the surveyees' self-reported disease diagnosis and clinical assessment of eight major chronic conditions using community-based survey data collected in Xi'an, China in 2017. With a focus on under-reporting patients, we aim to explore its magnitude and associated factors, to provide an important basis for disease surveillance, health assessment and resource allocation, and public …
Interconnected associations of occupational burnout, anxiety, and sleep quality in oilfield workers
Background Occupational burnout and poor sleep quality are increasingly prevalent among oilfield workers, exposed to high-stress environments and irregular shifts. Emerging evidence indicates that anxiety may mediate the link between burnout and sleep disturbances, though empirical data in this group remain limited. Methods A cross-sectional survey was conducted among 1,617 oilfield workers in Shaanxi Province, China. Sleep quality, anxiety, and …
Overweight or obesity and their association with cardiometabolic risk factors among oilfield workers in Chinese population
Objectives Overweight and obesity are major factors associated with cardiometabolic disorders, yet evidence from occupational populations remains limited. This study aimed to assess the association between body mass index (BMI) and six cardiometabolic risk factors (CRFs)—hypertension, diabetes, high total cholesterol (TC), high triglycerides (TG), high low-density lipoprotein cholesterol (LDL-C), and low high-density lipoprotein cholesterol (HDL-…
Association between different metabolic obesity phenotypes and hyperuricemia
Background: Hyperuricemia (HUA) is a rapidly increasing metabolic disorder that is closely linked to obesity, nonalcoholic fatty liver disease and cardiometabolic diseases. However, the relationships between different metabolic obesity phenotypes and HUA, and the potential modifying role of liver enzymes, remain unclear, particularly in occupational populations. Methods: In this cross-sectional study, we enrolled 1,867 Chinese oilfield workers un…
Machine learning-based prediction of osteoporosis in prefrail and frail older adults
Osteoporosis poses significant risks in frail older adults. While oxidative stress influences bone metabolism and dietary antioxidants may provide protection, their predictive value for osteoporosis risk remains underexplored. To develop machine learning models predicting osteoporosis in frail older adults and evaluate dietary antioxidant contributions using SHapley Additive exPlanations (SHAP). Data from NHANES 2007–2010 and 2017–2018 cycles inc…
Logistic regression (2 works) · Obesity (2 works) · Odds ratio (2 works) · Sleep and Work-Related Fatigue (2 works) · Workplace Health and Well-being (2 works) · Alcohol dependence (1 work) · Allele (1 work) · Anxiety (1 work) · Autism Spectrum Disorder Research (1 work) · Biology (1 work)