Publications

The following manuscripts have been published or are currently in press. Listings are in chronological order, unless otherwise noted.

Research Publication 2
Title Publication Date/Location
Longitudinal Trajectories of Comorbid PTSD and Depression Symptoms Among U.S. Service Members and Veterans BMC Psychiatry 2019 Dec 13;19(1):396

Armenta RF, Walter KH, Geronimo-Hara TR, Porter B, Stander V, LeardMann CA, for the Millennium Cohort Study Team

This study examined the patterns of PTSD and depression symptoms over time among those with probable comorbid PTSD and depression at baseline. We found that PTSD and depression symptoms tended to move in tandem. Although many service members and veterans experienced a reduction of symptoms over time, one quarter of individuals reported high levels of PTSD and depression symptoms during the almost 12 years of follow-up. Notable factors associated with elevated comorbid PTSD/depression symptoms included older age, combat experiences, and having other co-occurring health problems. Results highlight the need for comprehensive assessment and treatment of comorbid PTSD/depression.

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Posttraumatic Stress Disorder and Risk of Selected Autoimmune Diseases among US Military Personnel BMC Psychiatry 2020 Jan 15; 20 (1):23

Bookwalter DB, Roenfeldt KA, LeardMann CA, Kong SY, Riddle MS,Rull RP

This study investigated the association between PTSD and risk of developing selected autoimmune diseases among US active duty service members. Among 120,572 participants followed for an average of 5 years, risk of any of the selected new-onset autoimmune diseases was 58% higher for those with a history of PTSD compared to those with no history. Observed associations did not differ by specific types of trauma experienced. Future research is needed to understand the physiological pathways that may link PTSD with increased risk of immune-mediated inflammatory diseases.

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The Impact of Deployment Experience and Prior Healthcare Utilization on Enrollment in a Large Military Cohort Study BMC Medical Research Methodology 2013 Jul 11;13:90

Horton JL, Jacobson IJ, Littman AJ, Alcaraz JE, Smith B, and Crum-Cianflone NF

This study compared the characteristics of invited subjects (responders and nonresponders) prior to the enrollment cycle. Military personnel who deployed in support of OIF/OEF and those who presented for routine outpatient care were significantly more likely to enroll in a longitudinal cohort study examining their health and military experiences, while those with baseline mental disorders or longer hospital stays were less likely to enroll. These findings, which controlled for demographic and other potential confounders, suggest differential enrollment by deployment experience and health status, and may help guide recruitment efforts in future studies.

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Challenges of Self-Reported Medical Conditions and Electronic Medical Records Among Members of a Large Military Cohort BMC Medical Research Methodology 2008 Jun;8:37

Smith B, Chu LK, Smith TC, Amoroso PJ, Boyko EJ, Hooper TI, Gackstetter GD, Ryan MAK, for the Millennium Cohort Study Team

This report highlights the importance of assessing medical conditions from multiple electronic and self-reported sources.

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Assessing Nonresponse Bias at Follow-Up in a Large Prospective Cohort of Relatively Young and Mobile Military Service Members BMC Medical Research Methodology 2010 Oct;10(1):99

Littman AJ, Boyko EJ, Jacobson IG, Horton JL, Gackstetter GD, Smith B, Hooper TI, Amoroso PJ, Smith TC, for the Millennium Cohort Study Team

In this study population, nonresponse to the follow-up questionnaire did not result in appreciable bias as reflected by comparing measures of association for selected outcomes using complete case and inverse probability weighted methods.

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Exploratory Factor Analysis of Self-Reported Symptoms in a Large, Population-Based Military Cohort BMC Medical Research Methodology 2010 Oct;10(1):94

Kelton ML, LeardMann CA, Smith B, Boyko EJ, Hooper TI, Gackstetter GD, Bliese PD, Hoge CW, Smith TC, for the Millennium Cohort Study Team

Using exploratory factor analysis, this study examined mental and physical health symptom covariance structure. A 14-factor model accounted for 60% of the variance indicating a reasonable amount of construct overlap and that the number and type of questions appropriately assess a spectrum of heterogeneous symptoms.

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Application of Latent Semantic Analysis for Open-Ended Responses in a Large, Epidemiologic Study BMC Medical Research Methodology 2011 Oct;11:136

Leleu TD, Jacobson IG, LeardMann CA, Smith B, Foltz PW, Amoroso PJ, Derr M, Ryan MAK, Smith TC, for the Millennium Cohort Study Team

Using latent semantic analysis to analyze the final open-ended text field on the Millennium Cohort questionnaire helped identify important topic areas for future survey questions and also revealed the most common areas of concern for participants were illness and injuries, exposures, and exercise. Subjects with worse self-reported general health were more likely to provide a response in the open-ended text field than subjects with better general health.

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Multiple imputation validation study: Addressing unmeasured survey data in a longitudinal design BMC Medical Research Methodology 2021 Jan 6;21(1):5

Kolaja CA, Porter B, Powell TM, Rull RP, Millennium Cohort Study Team

This study examined the efficiency and feasibility of multiple imputation (MI) to recover data from a question completely missing at a follow-up survey assessment. Specifically, the suicidal ideation item on the depression module of the Patient Health Questionnaire was set to missing on a follow-up survey and then filled in using different MI models. Imputed and self-reported suicidal ideation were similarly associated with the related constructs of sleep duration and smoking status, suggesting that MI allowed for the inclusion of an otherwise missing item as a covariate in statistical models.

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Health Care Utilization Among Complementary and Alternative Medicine Users in a Large Military Cohort BMC Complementary and Alternative Medicine 2011 Apr;11:27

White MR, Jacobson IG, Smith B, Wells TS, Gackstetter GD, Boyko EJ, Smith TC, for the Millennium Cohort Study Team

Our findings provide evidence that CAM users are utilizing more physician-based medical services than users of conventional care. Those using CAM account for 45.1% of outpatient care and 44.8% of inpatient care, but make up only 39% of the study population. Whether CAM use is supplementing current conventional medical practice to meet the health care needs of these individuals is not fully understood.

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Demographic and Occupational Predictors of Early Response to a Mailed Invitation to Enroll in a Longitudinal Health Study Biomed Central Medical Research Methodology 2007 Jan;7:6

Chretien JP, Chu LK, Smith TC, Smith B, Ryan MAK, for the Millennium Cohort Study Team

Those who respond first to study invitations, whether to participate or decline, have distinct characteristics within the study population. This information can help structure recruitment efforts.

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