Statistical Analyst in Public Health

Curriculum Vitae

Ja Kook (Jack) Gu, MSPH

Health Effect Laboratory Division (HELD)

Email: ********@*****.***

National Institute for Occupational Safety and Health (NIOSH)

Centers for Disease Control and Prevention (CDC)

Phone: 304-***-**** (Cell)

1095 Willowdale Road

304-***-**** (Work)

Morgantown, WV 26505

Professional Summary

Accomplished mathematical statistician with over 20 years of experience in public health research, primarily at NIOSH and CDC. Proven success in providing expert statistical consultation, analyzing complex epidemiological and clinical data, and publishing research studies. Expertise in advanced statistical methods including machine learning, regression, survival, and longitudinal analysis, with strong proficiency in SAS and R. Committed to advancing scientific understanding and public health through rigorous data analysis, collaborative research, and effective communication of findings.

Education

MS in Biostatistics, University of South Carolina, Columbia, SC, December 1997

BS in Mathematics, University of North Carolina at Charlotte, Charlotte, NC, May 1994

Professional Certification

SAS Advanced Programming Certification by SAS Institute, April 2005

SAS Base Programming Certification by SAS Institute, September 2004

Professional Experience

Mathematical Statistician, Associate Fellow, Sep. 2007 – Aug. 2025

Bioanalytics Branch, Health Effects Laboratory Division

National Institute for Occupational Safety & Health (NIOSH), CDC, Morgantown, WV

Duties:

Providing statistical consultation and advice on optimal design and analysis that

enhance scientific quality of laboratory, clinical or epidemiologic research

Identifying appropriate analytical methods and statistical programs to address study objectives, providing summary of analytic results and appropriate interpretation

Developing statistical analysis plan as a collaborative effort

Verifying and documenting data to ensure suitability for proposed analysis

Documenting analytical results and verifying their accuracy

Summarizing, interpreting, and reporting research findings to collaborators.

Preparing research findings for presentation at seminars, scientific meetings, and for publication in peer-reviewed journals.

Contributes to or develops statistical relevant sections of a presentation or peer-reviewed publication.

Reviewing research plans, suggesting appropriate improvements and providing advice on population, study design, sample size and duration

Performing data conversion, cleaning, and documentation for branch studies

Conducted quality control analyses for clinical chemistry data

Reviewer for manuscripts submitted for clearance and for journal publication

Providing technical support in statistical programming for co-workers

Conducting epidemiological research for branch studies

Gene expression data analysis for division research.

Projects participated in:

Buffalo Cardio-Metabolic Occupational Police Stress Study (BCOPS) in Baseline study (2004-2009), 1st follow-up study (2011-2015), and 2nd follow-up study (2016-2019).

Buffalo Police Heart Rate Variability Study (2011-2015)

Buffalo Police Mortality / Cancer Incidence Study (2013-2020)

Buffalo Police Microvascular study – Retinal Examination (2012-2017)

Longitudinal study of Work Stress and Cardiovascular Disease in Police Officers (2023-2026)

Parents’ Occupational Exposures and Child Autism Spectrum Disease Study (20

Longitudinal Examination of Mental and Physical Health among Police Associated with COVID-19 (2020-2025)

Assessment of First Responder Well-being in Northwest Tribal Community (2023-2025)

Software: SAS 9.4, R 4.5.0, RStudio, Python, AI (Copilot, Gemini, NotebookLM, ChapGPT o4, Perplexity, Claude), SUDAAN 11, SPSS 15.0, Adobe Acrobat, MS Office (Word, Access, Excel, PowerPoint, Outlook, OneDrive, Edge), OCMAP (Occupational Cohort Mortality Analysis Program)

Biostatistician, Nov. 2000 – Aug. 2007

Department of Biostatistics, Bioinformatics, and Epidemiology,

Medical University of South Carolina, Charleston, SC.

Duties:

SAS programming and data processing with data cleaning and weighting

Data analysis with regression analysis, general linear model, analysis of variance, categorical data analysis, survival analysis

Data evaluation of incidence, prevalence, and sensitivity

Reporting South Carolina TBI/TSCI data to CDC annually

Database development and management in MS Access

Participation of measurements of abstracted questionnaire and interview survey questionnaire

Assistance with statistical analysis for publications and presentations

Programming in SAS for manipulating/creating new data sets

Creating output files with SAS/ODS, graphs, and tables

Collaboration with other agencies to produce timely reports

Projects participated in:

South Carolina Traumatic Brain Injury (TBI) Registry and Follow-up Study

South Carolina Traumatic Spinal Cord Injury (TSCI) Follow-up Study

South Carolina TBI/TSCI Hospital Discharge Data Surveillance System

South Carolina TBI/TSCI Emergency Department Data Surveillance System

Health Outcome on Epilepsy and Seizures in South Carolina

Data Analyst, Sept. 1999–Oct. 2000

Department of Disabilities and Special Needs (DDSN), State of South Carolina, Columbia, SC.

Duties:

SAS programming and statistical analysis of South Carolina Head And Spinal Cord Injury (SCHASCI) morbidity and mortality data

Collaboration with other agencies to produce timely reports relative to SCHASCI

Cleaning, modifying, and analysis of abstracted hospital discharge and emergency department visit data in accordance with NETSS format to provide CDC with SC surveillance data

Participation in a grant proposal to establish the surveillance system with funding opportunities for in-depth research

SAS Programmer, Jan. 1998–Aug. 1999

Computer Consulting Group, Spartanburg, SC.

Duties:

Renovation of Year 2000 millennium problems in commercial SAS programs

Checking all program statements and statistical procedures

Identifying date sensitive variables and changing the codes properly in Year 2000

Creating JCL and data sets to do program test on Year 2000

Volunteer Experiences

Mon General Hospital: volunteer every Monday afternoon at the nutrition department since June 2025

Morgantown Korean Church: served as a deacon for housing repair/fixing and friendships since 2010

Mission Trips:

oNavajo Native Trials in New Mexico (2010)

oSugar-Cain farms in Dominican Republic (2019, 2023)

oUrban native church in Rosarito, Mexico (2025)

Computer Skills

SAS Software: SAS/BASE, SAS/MACRO, SAS/SQL, SAS/STAT, SAS/IML, SAS/GRAPH,

SAS/INSIGHT.

Statistical Software: SUDAAN, R, RStudio, S-Plus, SPSS, Minitab, Epi-Info,

OCMAP (Occupational Cohort Mortality Analysis Program)

Other Software: MS Office (Word, Excel, Access, PowerPoint, Outlook, Lync),

Adobe Acrobat

Programming: SAS/BASE, SAS/MACRO, SAS/SQL, R, S-Plus, Python

Statistical Analysis Skills

●Descriptive analysis: Univariate analysis (means, standard deviation, normality, CI),

Frequency distributions, Graphs of bar and plot

Categorical analysis: Chi-square test, McNemar’s test, Odds Ratio, Relative Risk

Relation/Association analysis: Pearson/Spearman correlation, ANOVA, Regression,

Logistic Regression

Longitudinal analysis: Generalized linear models with generalized estimating equations,

Linear mixed models, Generalized linear mixed models

Survey analysis: Survey means, survey frequencies, survey regression, weighting

Survival analysis: Hazard rate, Log-Rank test, Life test for survival time,

Proportion-hazard regression

Experimental analysis: One-way/two-way ANOVA, N-way factorial design,

Power analysis for sample allocation, Nonparametric analysis

Repeated measures analysis

Nonparametric analysis: Sign test, Wilcoxon test, Kruskal-Wallis test

Others: Kappa test – a measure of interrater reliability

Cronbach's alpha - a measure of internal consistency/reliability

Stat. SAS Procedures: MEANS, FREQ, UNIVARIATE, FORMAT, CORR, TTEST, NPAA1WAY,

REG, GLM, LOGISTIC, CATMOD, ANOVA, LIFEREG, LIFETEST,

PHREG, MIXED for linear mixed models,

GLIMMIX for generalized linear mixed models,

NLMIXED for nonlinear mixed models,

SURVEYMEANS, SURVEYFREQ, SURVEYREG,

SURVEYLOGISTIC, SURVEYPHREG

SUDAAN Procedures: CROSSTAB, DESCRIPT, RATIO, REGRESS, LOGISTIC,

MULTLOG, LOGLINK, SERVIVAL

R / RStudio:

Machine Learning packages:

obkmr (Bayesian Kernel Machine Regression),

orandomForest,

oCARTs (Classification and Regression Trees)

Statistical modeling packages:

ojomo (multilevel joint modeling),

oordinal (regression models for ordinal data),

osurvival (Survival Analysis),

opoLCA (polytomous variable Latent Class Analysis),

Genetic analysis packages:

olumi, limma, HardyWeinberg,

Visual graphics packages:

ographics, tidyverse, ggplots, markdown

Exploratory Data Analysis packages:

otidyverse, modelr (pattern), ggplots, markdown

Data imports packages:

otibble, readr, tidyr

Data transformation packages:

otidyverse, tidyr, foreign, haven, dplyr (splitting and combining data), gdata

Dates and Times packages:

olubridate

Specialized Training

Regression Discontinuity Designs

Boston U School

Feb. 2024

Per and Polyfluoroalkyl Substances (PFAS)

NIOSH

February 2024

Machine Learning and Mediation

Statistical Horizons

Aug 1-4, 2023

SAS Viya, Machine Learning

SAS Institute

July, 2022

Causal Mediation Analysis

Statistical.com

May 9-18, 2022

Data Linkage

U. of Maryland

May 3-5, 2021

Machine Learning for Survey Data

U. of Maryland

May 17-28, 2021

Hierarchical (=multilevel) Linear Models

SAS Institute

April 22, 2020

Latent Class/Profile Analysis in SAS and R

CDC

Oct, 2019

Structural Equation Modeling

SAS Institute

June 10-14, 2019

R Introduction

CDC

Aug 29-Sep 28, 2018

Probability Survey I

SAS Institute

May 2-11, 2018

Microsoft Office Excel 2013

New Horizon

May 23, 2016

Mixed Models Analyses Using SAS

SAS Institute

June 10-19, 2015

Scientific Writing

NIOSH/CDC

Apr 14-15, 2015

Introduction to Nutrition

Edx.org

Feb-Mar, 2015

Musculoskeletal Anatomy

Edx.org

Oct-Nov, 2014

Vital Signs

Coursera.org

June-July, 2013

EndNote -basic

CDC

Oct 18, 2013

SAS Longitudinal Data Analysis with Discrete and Continuous Responses

SAS Institute

Sep 18-27, 2013

Introduction to Statistical Mediation, Moderation, and Conditional Process Analysis

NIOSH/CDC

May 5, 2013

Epidemiology Methods

U. of Michigan

Jul 9-23, 2012

Graphing and Testing Interval Censored Time

NIOSH/CDC

Feb 16, 2012

Statistical Analysis of Microarray Data with R

Statistics.com

Oct 21-Nov 15, 2011

Introduction to R – Data Handling

Statistics.com

Sep16-Oct 14, 2011

Microsoft Office

NIOSH/CDC

March, 2011

Industries and Occupations Coding

NIOSH/CDC

Sep, 2010

Power and Sample Size in SAS

SAS Institute Inc.

Jul, 2010

Regression Modeling Strategies

CDC

Oct, 2009

Longitudinal Data Analysis

JSM2009

Aug, 2009

Mixed Models for the Practicing Statistician

JSM2008

Aug, 2008

Qualitative Data Analysis

CDC/NIOSH

Apr, 2008

Medical Terminology

Mon County Tech

Jan-May, 2007

Microsoft Access 95

Mon County Tech

Sep-Dec, 2006

Survival Analysis

Johns Hopkins U.

July 2003

SUDAAN and SAS to Analyze NHANES

U. of Michigan

July 2002

SAS SQL

SAS Institute Inc.

Sep 2000

Visual Basic 5

Midland Tech. College

Aug-Dec,1999

Unix

Midland Tech. College

Jan-May, 1999

SAS Macro Language

SAS Institute Inc

Sep, 1997

Data Management and Mainframe

U. of South Carolina

Sep-Dec, 1994

Contribution to Science: Journal Publications

Consulted in Heart/Cardiovascular Health: with Sleep, Long Work Hour, Shiftwork, Metabolic syndrome, Physical Activity

1)Fekedulegn, D, Long, DL, Service, S, Gu, JK, & Innes, KE (2024). Shiftwork and leisure-time physical inactivity (LTPI) among U.S. workers. Chronobiology International, 1–13. Published online December 17, 2024. https://doi.org/10.1080/07420528.2024.2437427

2)Gu JK, Charles LE, Violanti JM, Andrew ME. Association between the metabolic syndrome and retinal microvascular diameters among police officers. JOEM, 2022;64(9)748-758. doi: 10.1097/JOM.0000000000002569.

3)Shi M, Gu J, Hartley T, Violanti J, Andrew M, Fekedulegn M. Shift work and ideal cardiovascular health among law enforcement officers. Annals of Epidemiology 40:39. (published the abstract)

4)Violanti J, Ma C, Gu J, Fekedulegn D, Mnatsakanova A, Andrew M. Social Avoidance in Policing: Associations with Cardiovascular Disease and the Role of Social Support. Policing: An International Journal 2018:41(5):539-549

5)Andrew ME, Violanti JM, Gu JK, Fekedulegn D, Li S, Miller DB, Hartley TA, Charles LE, Mnatsakanova A, Burchfiel CM. Police stress exposure and cardiac vagal control. American Journal of Human Biology, 2017:29(5):, doi: 10.1002/ajhb.22996.

6)Charles LE, Burchfiel CM, Sarkisian K, Li S, Miller DB, Gu JK, Fekedulegn D, Violanti JM, Andrew ME. Associations of Leptin, Adiponectin, and Heart Rate Variability among Police Officers in the Northeastern US. Am J Hum Bio 2015 ;27(2) :184-191.

7)Charles LE, Andrew ME, Sarkisian K, Ki S, Mnatsakanova A, Violanti JM, Wilson M, Gu JK, Miller D, Burchfiel CM. Association between insulin and heart rate variability in police officers. Am J Hum Biol, 2013;26(1):56-63.

8)Violanti JM, Charles LE, Gu JK, Burchfiel CM, Andrew ME, Joseph PN. Depression symptoms and carotid artery intima media thickness in police officers. International Archives of Occupational and Environmental Health (IAOEH), 2013 Nov:86(8)931-42. DOI 10.1007/s00420-012-0829-6

9)Violanti MV, Charles EC, Gu JK, Burchfiel CM, Andrew ME, Joseph NP, Dorn JM. Depressive symptoms and carotid artery intima-media thickness in police officers. Int Arch Occup Environ Health, 2013;8:931-942.

10)Ma CC, Burchfiel CM, Charles LE, Dorn JM, Andrew ME, Gu JK, Joseph PN, Fekedulegn D, Slaven JE, Hartley TA, Mnatsakanova A, Violanti JM. Associations of objectively measured and self-reported sleep duration with carotid artery intima-media thickness among police officers. Am J Ind Med, 2013;56(11):1341-1351.

Consulted in Microvascular Health:

1)Charles LE, Gu JK, Violanti JM. Impact of Shiftwork on Retinal Vasculature Diameters over a 5-Year Period: A Preliminary Investigation Using the BCOPS Study Data. Int. J Env Res & Public Health, 2024, 21,439. https://doi.org/10.3390/

2)Ma CC, Gu JK, Andrew ME, Fekedulegn D, Violanti JM, Klein R, Tinney-Zara CA, Charles LE. Associations of Sleep Measures with Retinal Microvascular Diameters among Police Officers. Ophthalmic Epidemiology, 2020, https://doi.org/10.1080/09286586.2020.1783688

3)Gu JK, Charles LE, Klein R, Grady LM, Ma CC, Allison P, Violanti JM, Andrew ME. Association between blood pressure and retinal vessel diameters among police officers in the US Northeast. J Occup Environ Med, 2018;60(3):234-240. doi: 10.1097/JOM.0000000000001246

4)Charles LE, Gu JK, Ma CC, Grady LM, Mnatsakanova A, Andrew ME, Fekedulegn D, Violanti JM, Klein R. Shiftwork and the retinal vasculature diameters among police officers. J Occup Environ Med, 2017;59(10):172-179, doi: 10.1097/JOM.0000000000001136

Consulted in Psychological Health: PTSD, Stress,

1)Gu JK, Charles LE, Allison P, Violanti JM, Andrew ME. Mental health treatment reported by US workers before and during the COVID-19 pandemic: United States (2019-2020). Int. J. Environ. Res. Public Health 2023, 20(1), 651; https://doi.org/10.3390/ijerph20010651

2)Violanti JM, Mnatsakanova A, Gu JK, Service S, Andrew ME. Adverse Childhood Experiences and Police Mental Health. Policing: An International Journal, September 30, 2021. DOI 10.1108/PIJPSM-06-2021-0085

3)McCanlies EC, Ma CC, Gu JK, Fekedulegn D, Sanderson WT, Hertz-Piccioto I. The CHARGE Study: An Assessment of Parental Occupational Exposures and Autism Spectrum Disorder. Occupational and Environmental Medicine, 2019;76:644-651. doi:10.1136/oemed-201*-******.

4)Ma CC, Hartley TA, Sarkisian K, Mnatsakanova A, Owens S, Gu JK, Tinney-Zara CA, Violanti JM, Andrew ME. Influence of Work Characteristics on the Association between Police Stress and Sleep Quality. Safety and Health at Work, 2019:10(1):30-38. https://doi.org/10.1016/j.shaw.2018.07.004

5)Violanti JM, Ma CC, Mnatsakanova A, Fekedulegn D, Gu JK, Andrew ME. Associations between police work stressors and posttraumatic stress disorder symptoms: Examining the moderating effects of coping. Journal of Police and Criminal Psychology, 2018:33:271-282. DOI 10.1007/s11896-018-9276-y

6)McCanlies EC, Gu JK, Andrew ME, Violanti JM. The effect of social support, gratitude, resilience, and satisfaction with life on depressive symptoms among police officers following Hurricane Katrina. International Journal of Social Psychiatry, 2018;64(1):63-72.

7)McCanlies EC, Gu JK, Andrew ME, Burchfiel DM, Violanti JM. Resilience Mediates the Relationship between Social Support and Post-traumatic Stress symptoms in Police Officers. Journal of Emergency Management, 2017;15(2);107-116. doi: 10.5055/jem.2017.0319

8)Ma CC, Andrew ME, Fekedulegn D, Gu JK, Hartley TA, Charles LE, Violanti JM, Burchfiel CM. Shift Work and Occupational Stress in Police Officers. Safety and Health at Work, 2015;6:25-29.

9)Slaven JE, Mnatsakanova A, Burchfiel CM, Smith LM, Charles LE, Andrew ME, Gu JK, Ma CC, Fekedulegn D, Violanti JM. Association of sleep quality with depression in police officers. Int J Emerg Mental Health. 2012;13:267-277.

Consulted in Chemical Exposure or Substance Use Studies

1)McCanlies EC, Gu JK, Ma CC, Sanderson WT, Ludeña-Rodriguez YJ, Hertz-Piccioto I. The Effects of Parental Occupational Exposures on Autism Spectrum Disorder Severity and Skills in Cognitive and Adaptive Domains in Children with Autism Spectrum Disorder. International Journal of Hygiene and Environmental Health, 2025:268,114613. https://doi.org/10.1016/j.ijheh.2025.114613

2)McCanlies EC, Gu JK, Kashon M, Yucesoy B, Ma CC, Sanderson WT, Kim K, Ludena-Rodriguesz Y, Hertz-Piccioto I. Parental occupational exposure to solvents and autism spectrum disorder: An exploratory look at gene-environment interactions. Environmental Research, 2023;228:115769. DOI: 10.1016/j.envres.2023.115769

3)Gu JK, Charles LE, Lim CS, Mnatsakanova A, Anderson S, Dzubak L, McCanlies EC. Serum Concentration of Selected Per- and Polyfluoroalkyl Substances (PFAS) by Industry and Occupational Groups among US Adult Workers, NHANES 2005-2014. Am. J of Ind Med, submitted December 18, 2024

4)Gu JK, Allison P, Charles LE, Ma CC, Groenewold M, Andrew ME, Luckhaupt SE. Prevalence of Self-Reported Prescription Opioid Use and Illicit Drug Use among U.S. Adult Workers: NHANES 2005-2016. JOEM, 2022;64(01):39-45. doi:10.1097/JOM.0000000000002328

5)Adjeroh LC, Andrew ME, Charles LE, Gu JK, Fekedulegn D, Burchfiel CM, Violanti JM. Posttraumatic Stress Disorder and alcohol drinking behavior in police officers. J Law Enforcement Leadership & Ethics 2015:2(1):5-23.

6)Charles LE, Burchfiel CM, Fekedulegn D, Gu JK, Andrew ME, Petrovitch H, Masaki K, Rodriguez BL, Sanderson WT, Ross GW. Occupational exposures to pesticides, metals, and solvents and 30-year mortality: The Honolulu Heart Program, WORK: A Journal of Prevention, Assessment, & Rehabilitation, 37;205-215, 2010

Consulted in Studies Using National Health Data: Injury, Distress, Obesity, Physical Activity

1)Naimo M, Gu JK. The Relationship between Resistance Training Frequency and Muscle. Int J Environ Res Public Heath, 2022, 19(13), 8099; https://doi.org/10.3390/ijerph19138099

2)Gu JK, Charles LE, Fekedulegn D, Allison P, Ma CC, Violanti JM, Andrew ME. Temporal trend of CVD and risk factors among US older workers: NHIS 2004-2018, Annals of Epidemiology, 2021;55:78-720, https://doi.org/10.1016/j.annepidem.2020.10.002, PMID: 33049395

3)Gu JK, Charles LE, Fekedulegn D, Ma CC, Violanti JM, Andrew ME. Occupational Injury and Psychological Distress among U.S. Workers: The National Health Interview Survey, 2004-2016, Journal of Safety Research, 2020;74:207-217. doi: 10.1016/j.jsr.2020.06.002

4)Naimo MA, Gu JK, Lilly C, Kelly GA, Baker BA. Resistance training frequency confers greater muscle quality in aged individuals: a brief NHANES report. J of Cachexia, Sarcopenia, and Muscle, 2018;3(2):1081-3. DOI: http://dx.doi.org/10.17987/jcsm-cr.v3i2.64

5)Ma CC, Gu JK, Charles LE, Andrew ME, Dong RG, Burchfiel CM. Work-related upper extremity musculoskeletal disorders in the United States: 2006, 2009, and 2014 National Health Interview Survey. WORK, 2018:60:623-634. DOI:10.3233/WOR-182770

6)Gu JK, Charles LE,, Ma CC, Andrew ME, Fekedulegn D, Hartley TA, Violanti JM, Burchfiel CM. Prevalence and trends of leisure-time physical activity by occupation and industry in US workers: the National Health Interview Survey 2004-2014. Annals of Epidemiology, 2016;26:685-692, – CDC Top Articles of the Week, CDC Science Clips: Vol 8, Issue 41, Oct 11, 2016.

7)Gu JK, Charles LE, Andrew ME, Ma CC, Hartley TA, Violanti JM, Burchfiel CM. Prevalence of work-site injuries and relationship between obesity and injury among US workers: NHIS 2004-2012. J of Safety Research, 2016;58:21-30, doi:10.1016/j.jsr.2016.06.001.

8)Gu JK, Charles LE, Fekedulegn D, Ma CC, Andrew ME, Burchfiel CM. Prevalence injury in occupation and industry: Role of obesity in the NHIS 2004-2013. J Occup Environ Med, 2016;58(4):335-243.

9)Gu JK, Charles LE, Bang KM, Ma CC, Andrew ME, Violanti JM, Burchfiel CM. Prevalence of obesity by occupation among US workers: The National Health Interview Survey 2004-2011. J Occup Envirn Med, 2014;56(5):516-528. - referenced by Dr Jerome Adams, US Surgeon General in his article “The value of worker well-being”, Public Health Reports 2019, 134(6):583-586, https://journals.sagepub.com/doi/pdf/10.1177/0033354919878434 .

10)Gu JK, Charles LE, Burchfiel CM, Andrew ME, Ma CC, Bang KM, Violanti JM. Associations between psychological distress and body mass index among law enforcement officers: The National Health Interview Survey 2004-2010. Safety and Health at Work, 2013;4:52-62.

Consulted in Genetic Studies

1)Lemons AR, Hogan MB, Gault RA, Holland K, Sobek E, Olsen-Wilson KA, Gu JK, Kashon ML, Park Y, Park JH, Green BJ. Microbial rRNA sequencing analysis of evaporative cooler indoor environments located in the Great Basin Desert region of the United States, Environmental Science: Processes & Impacts, 2017;19(2):101-110. doi: 10.1039/c6em00413j.

2)Umbright C, Sellamuthu R, Roberts JR, Young S, Richardson D, Schwegler-Berry D, McKinney W, Chen B, Gu JK, Kashon M, Joseph P. Pulmonary toxicity and global gene expression changes in response to sub-chronic inhalation exposure to crystalline silica in rats. Journal of Toxicology and Environmental Health, 2017;80(23-24):1349-1368, doi: 10.1080/15287394.2017.1384773.

3)Croston T, Nayak A, Lemons A, Goldsmith W, Gu JK, Germolec D, Beezhold D, Green B. Influence of Aspergillus fumigatus conidia viability on murine pulmonary microRNA and mRNA expression following subchronic inhalation exposure. Clinical & Experimental Allergy, 2016:46(10):1315-1327.

Consulted in Animal Studies / Experimental Design / Lung Health Mechanism

1)Lim C, Gu J, Ma Q. Multi-walled carbon nanotubes activate the NLRP3 inflammasome-dependent pyroptosis in macrophages. Toxicological Sciences. submitted October, 16, 2024

2)Lim C, Gu J, Ma Q. The ETS domain-containing hematopoietic transcription factor PU.1 mediates the induction of arachidonate 5-lipoxygenase by multi-walled carbon nanotubes in macrophages in vitro. Archives of Toxicology 2025;99:597-610. https://doi.org/10.1007/s00204-024-03925-w

3)Rader EP, Layner KN, Triscuit AM, Kashon ML, Gu JK, Ensey J, Baker BA. Desensitized morphological and cytokine response after stretch-shortening muscle contractions as a feature of aging in rats. Exp Gerontol. 2015 Oct 7. pii: S0531-5565(15)30062-0. doi: 10.1016/j.exger.2015.09.020.

4)Erdely A, Antonini JM, Young SH, Kashon ML, Gu JK, Hulderman T, Salmen R, Meighan T, Roberts JR, Zeidler-Erdely PC. Oxidative stress and reduced responsiveness of challenged circulating leukocytes following pulmonary instillation of metal-rich particulate matter in rats. Particle and Fibre Toxicology, 2014;11:34

5)Charles LE, Burchfiel CM, Andrew ME, Gu JK, Petrini MF, Butler KR. Pulmonary Function and Left Ventricular Mass in African Americans: The Atherosclerosis Risk in Communities (ARIC) Study, Echocardiography, 2012;29:131-139.

6)Erdely A, Antonini JM, Salmen-Muniz R, Liston A, Hulderman T, Simeonova PP, Kashon ML, Li S, Gu JK, Stone S, Chen BT, Frazer DG, Zeidler-Erdely PC. Type I interferon and pattern recognition receptor signaling following particulate matter inhalation. Particle and Fibre Toxicology, 2012;9:25 doi:10.1186/174*-****-*-**.

Consulted in Mortality Studies

1)Violanti JM, Gu JK, Charles LE, Fekedulegn D, Andrew ME. Dying for the job: Police Mortality, 1950-2018. Policing; An International Journal, 44(6) 1014-1030, October 22, 2021. https://doi.org/10.1108/PIJPSM-06-2021-0085

2)Vena JE, Charles LE, Gu JK, Burchfiel CM, Andrew ME, Fekedulegn D, Violanti JM. Mortality of a police cohort: 1950-2005. Int J Law Enforce Leadership Ethics, 2014;1(1):7-30.

3)Violanti JM, Fekedulegn D, Hartley TA, Andrew ME, Gu JK, Burchfiel CM. Life expectancy in police officers: a comparison with the US general population. Int J Emerg Ment Health Hum Resil 2013;15(4):217-228.

4)Violanti JM, Gu JK, Charles LE, Fekedulegn D, Andrew ME, Burchfiel CM. Is suicide higher among separated/retired police officers? An Epidemiological Investigation. Int J Emerg Mental Health, 2011;13:221-228.

Consulted in Brain/Spinal Cord Injury Studies

1)Pickelsimer EE, Selassie AW, Gu JK, Langlois JA. A Population-based Outcomes Study of Persons Hospitalized with Traumatic Brain Injury. Journal of Head Trauma Rehabilitation. 21;491-504, 2006

2)Pickelsimer EE, Selassie AW, Heinemann AW, Gu JK, Veldheer LC. Unmet Service Needs of Persons with Traumatic Brain Injury. Journal of Head Trauma Rehabilitation. 21;483-499, 2006

3)McCarthy ML, Dikmen SS, Langlois JA, Selassie AW, Gu JK, Horner MD. Self-Reported Psychosocial Health among Adults with Traumatic Brain Injury. The Archives of Phys Med and Rehabilitation. 87;953-961, 2006

4)McCutcheon EP, Selassie AW, Gu JK, Pickelsimer EE. Acute Traumatic Spinal Cord Injury, 1993-2000 Population Based Assessment of Methylprednisolone Administration and Hospitalization. The Journal of Trauma Injury Infection & Critical Care. 56;1076-1083, 2004

All other Studies

1)Violanti JM, Fekedulegn D, Mnatsakanova A, Gu JK, Samantha S, Allison P, Hartley TA. Metabolic syndrome and associated components among police officers: A 7 and 12-year longitudinal analysis. J Occup Environ Med. 2025 Jan 15. doi: 10.1097/JOM.0000000000003316.

2)Charles LE, Mnatsakanova A, Fekedulegn D, Violanti JM, Gu JK, Andrew ME. Associations of adverse childhood experiences (ACEs) with sleep duration and quality: the BCOPS study. Sleep Med, 2022, Jan:89:166-175; doi: 10.1016/j.sleep.2021.12.011.

3)Velazquez-Kronen R, Millen AE, Ochs-Balcom HM, Mnatsakanova A, Gu JK, Andrew ME, Violanti JM. Sleep quality and dietary patterns in an occupational cohort of police officers. Behavioral Sleep Medicine, 2021. Published ahead online DOI: 10.1080/15402002.2021.1954925.

4)Fekedulegn D, Service S, Ma CC, Gu JK, Violanti JM, Andrew ME. Association of day-to-day variability in rest-activity circadian rhythm with sleep quality among law enforcement officers, Sleep, May 2020, Volume 43, Abstract Supplement, Page A146. https://doi.org/10.1093/sleep/zsaa056.377

5)Ma CC, Gu JK, Ruchi B, Charles LE, Violanti JM, Fekedulegn D, Andrew ME. Associations of objectively measured sleep characteristics and incident hypertension among police officers: the role of obesity. J Sleep Res., 2020;29:e12988. DOI: https://dio.org/10.1111/jsr.12988

6)Gu JK, Charles LE, Millen AE, Violanti JM, Ma CC, Jenkins E, Andrew ME. Associations between Adiposity Measures and 25(OH)D and Comparison of Adiposity Measures as Predictors of 25(OH)D Insufficiency among Police Officers. American Journal of Human Biology, 2019;e23264. https://doi.org/10.1002/ajhb.23274

7)Violanti JM, Mnatsakanova A, Andrew M, Baughman P, Gu J, Fekedulegn D. Effort-Reward Imbalance and Over-Commitment at Work: Associations with Police Burnout. Police Quarterly, 2018:21(4):440-460. https://doi.org/10.1177/1098611118774764

8)Violanti JM, Fekedulegn D, Gu JK, Allison P, Mnatsakanova A, Tinney-Zar C, Andrew ME. Effort-reward imbalance in police work: Associations with an atypical cortisol awakening response. International Archives of Occupational and Environmental Health journal, 2018:91(5):513-522. doi: 10.1007/s00420-018-1300-0

9)Violanti JM, Ma CC, Fekedulegn D, Andrew ME, Gu JK, Hartley TA, Charles LE, Andrew ME, Burchfiel CM. Associations between body fat percentage and fitness among police officers: A statewide study. Safety and Health at Work. 2017;8:36-41.

10)Fekedulegn D, Burchfiel CM, Ma CC, Andrew ME, Hartley TA, Charles LE, Gu JK, John M Violanti. Fatigue and on-duty injury among police officers: The BCOPS Study. J of Safety Research, 2017;60:43-51. http://dx.doi.org/10.1016/j.jsr.2016.11.006

11)Charles LE, Gu JK, Tinney-Zara CA, Fekedulegn D, Ma CC, Baughman P, Hartley TA, Andrew ME, Violanti JM, Burchfiel DM. Separate and joint associations of shiftwork and sleep quality with lipids. Safety and Health at Work, 2016;7(2):111-119.

12)Charles LE, Gu JK, Fekedulegn D, Andrew ME, Violanti JM, Burchfiel CM. Association between shiftwork and glomerular filtration rate in police officers. J Occup Environ Med, 2013;55(11):1323-8. DOI:10.1097/JOM.0b013e3182a299c9.

13)Violanti JM, Charles LE, Gu JK, Burchfiel CM, Andrew ME, Joseph PN, Dorn JM. Associations of depressive symptoms and brachial artery reactivity among police officers. Safety and Health

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