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Nazem S, Sun S, Barnes SM, Monteith LL, Hostetter TA, Forster JE, Brenner LA, Galfalvy H, Haghighi F. Impact of an internet-based insomnia intervention on suicidal ideation and associated correlates in veterans at elevated suicide risk. Transl Behav Med 2024:ibae032. [PMID: 38864695 DOI: 10.1093/tbm/ibae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2024] Open
Abstract
Improving public health approaches to suicide prevention requires scalable evidence-based interventions that can be easily disseminated. Given empirical data supporting the association between insomnia and suicide risk, internet-delivered insomnia interventions are promising candidates to meet this need. The purpose of this study was to examine whether an unguided internet-delivered cognitive-behavioral therapy for insomnia (iCBT-I) improved insomnia severity, suicidal ideation (SI), and suicide risk correlates (depression, post-traumatic stress disorder, anxiety, hostility, belongingness, hopelessness, agitation, irritability, concentration) in a sample of veterans. Secondary data analysis of Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn veterans (n = 50) with clinically significant insomnia and elevated SI drawn from a larger randomized controlled trial (RCT) of an iCBT-I, Sleep Healthy Using the Internet (SHUTi). Two-sample t-tests or Wilcoxon rank sum tests were used to evaluate between-group differences (SHUTi vs. Insomnia Education Website control) in symptom improvement from baseline to post-intervention. SHUTi participants experienced a significant improvement in insomnia severity (P < .001; d = -1.08) and a non-significant with small (subthreshold medium) effect size reduction of SI (P = .17, d = 0.40), compared to control participants. Significant improvement in hopelessness was observed (medium effect size), with non-significant small to medium effect size reductions in most remaining suicide risk correlates. Self-administered iCBT-I was associated with improvements in insomnia severity in veterans at elevated risk for suicide. These preliminary findings suggest that SI and suicide risk correlates may improve following an iCBT-I intervention, demonstrating the need for future well-powered iCBT-I RCTs targeted for populations at elevated suicide risk.
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Affiliation(s)
- Sarra Nazem
- Dissemination and Training Division, National Center for PTSD, Palo Alto, CA, USA
| | - Shengnan Sun
- Department of Neuroscience, Icahn School of Medicine, New York, NY, USA
- General Medical Research (GMR), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Sean M Barnes
- VA Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC), Aurora, CO, USA
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA
| | - Lindsey L Monteith
- VA Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC), Aurora, CO, USA
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, Co, USA
| | - Trisha A Hostetter
- VA Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC), Aurora, CO, USA
| | - Jeri E Forster
- VA Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC), Aurora, CO, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, Co, USA
| | - Lisa A Brenner
- VA Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC), Aurora, CO, USA
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, Co, USA
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Hanga Galfalvy
- Department of Psychiatry, Columbia University, New York, NY, USA
- Department of Biostatistics, Columbia University, New York, NY, USA
| | - Fatemeh Haghighi
- Department of Neuroscience, Icahn School of Medicine, New York, NY, USA
- General Medical Research (GMR), James J. Peters VA Medical Center, Bronx, NY, USA
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Allen N, Crock L, Chun T, Reinhard MJ. Investigating a clinically informed sleep disturbance threshold for physical and mental health among Gulf War Illness veterans. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2024; 5:zpae018. [PMID: 38616799 PMCID: PMC11015895 DOI: 10.1093/sleepadvances/zpae018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/14/2024] [Indexed: 04/16/2024]
Abstract
Study Objectives This study (1) assessed sleep quality and health in Gulf War veterans (GWV) meeting the Gulf War Illness (GWI) criteria and (2) compared health associations for both those meeting a "clinically disturbed sleep" threshold, and those below, as determined by the Pittsburgh Sleep Quality Index (PSQI) cutoff for military populations (≥10) on measures of physical, mental, and cognitive health. Methods Participant data consisted of questionnaires and assessments completed prior to group assignment in a clinical trial. The sample consisted of 147 GWV, where 81.0% were males, and the median age was 53.4 years. Results The mean (SD) PSQI global score was 12.34 (4.00) with 61% of the sample qualifying as clinically disturbed sleepers according to the cutoff (global PSQI ≥ 10). GWI veterans with PSQI scores ≥10 did not differ from others in age (p = 0.20), sex (p = 0.19), or years of education (p = 0.87), but showed worse GW-related symptomology on the Gulf War Kansas questionnaire (p < 0.01), and poorer mental health on the Veterans Rand-36 (p < 0.01). Conclusions Disturbed sleep was associated with measures of pain, fatigue, and cognitive health. Our results suggest that a previously determined clinical threshold for clinically disturbed sleep is useful when examining the health status of the study population. Given that GWI is associated with elevated PSQI scores and a high frequency of disturbed sleep, cutoffs determining sleep health should be sensitive to population exposures and health history to improve interpretability.
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Affiliation(s)
- Nathaniel Allen
- Department of Veterans Affairs,War Related Illness and Injury Study Center (WRIISC), Washington, DC, USA
| | - Lucas Crock
- Department of Veterans Affairs,War Related Illness and Injury Study Center (WRIISC), Washington, DC, USA
| | - Timothy Chun
- Department of Veterans Affairs,War Related Illness and Injury Study Center (WRIISC), Washington, DC, USA
| | - Matthew J Reinhard
- Department of Veterans Affairs,War Related Illness and Injury Study Center (WRIISC), Washington, DC, USA
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC, USA
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Bu L, Wang D, Fan Y, Ye H, Liu W, Fan F. Sleep disturbance and suicidal ideation mediated by psychotic-like experiences in adolescents: a two-wave longitudinal study. Sleep 2024; 47:zsae013. [PMID: 38230742 DOI: 10.1093/sleep/zsae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/10/2024] [Indexed: 01/18/2024] Open
Abstract
STUDY OBJECTIVES Sleep disturbance may cause suicidal ideation (SI). This study aimed to examine their co-occurrence rate among adolescents and investigate whether psychotic-like experiences (PLEs) mediate this association. METHODS A total of 17 722 Chinese adolescents were included in this two-wave longitudinal study. The baseline survey (time 1, T1) was conducted between April 21 and May 12, 2021, and the follow-up survey (time 2, T2) was implemented between December 17 and 26, 2021. At T1, participants completed questionnaires to assess their sleep disturbance, sleep duration, PLEs, SI, depressive symptoms, and sociodemographic characteristics. At T2, participants reported their PLEs, SI, and negative life events. RESULTS The SI prevalence decreased from 20.2% (T1) to 18.4% (T2). Participants with SI showed significantly higher prevalence of sleep disturbance and short sleep duration compared to those without SI. Baseline sleep disturbance and short sleep duration were both associated with the increased risk of SI 6 months later. These longitudinal links were mediated by PLEs, independent of baseline covariates and negative life events. CONCLUSIONS These findings provide a novel insight into the mechanism linking sleep problems and suicidality, and stress the significance of assessing and addressing sleep problems and PLEs for adolescent suicide prevention and intervention.
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Affiliation(s)
- Luowei Bu
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Dongfang Wang
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Yunge Fan
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Haoxian Ye
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Wenxu Liu
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Fang Fan
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
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Bottari SA, Lamb DG, Porges EC, Murphy AJ, Tran AB, Ferri R, Jaffee MS, Davila MI, Hartmann S, Baumert M, Williamson JB. Preliminary evidence of transcutaneous vagus nerve stimulation effects on sleep in veterans with post-traumatic stress disorder. J Sleep Res 2024; 33:e13891. [PMID: 37039398 DOI: 10.1111/jsr.13891] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/15/2023] [Accepted: 03/06/2023] [Indexed: 04/12/2023]
Abstract
Sleep problems are common among veterans with post-traumatic stress disorder and closely associated with hyperarousal symptoms. Transcutaneous vagus nerve stimulation (tVNS) may have potential to improve sleep quality in veterans with PTSD through effects on brain systems relevant to hyperarousal and sleep-wake regulation. The current pilot study examines the effect of 1 h of tVNS administered at "lights out" on sleep architecture, microstructure, and autonomic activity. Thirteen veterans with PTSD completed two nights of laboratory-based polysomnography during which they received 1 h of either active tVNS (tragus) or sham stimulation (earlobe) at "lights out" with randomised order. Sleep staging and stability metrics were derived from polysomnography data. Autonomic activity during sleep was assessed using the Porges-Bohrer method for calculating respiratory sinus arrhythmia (RSAP-B ). Paired t-tests revealed a small decrease in the total sleep time (d = -0.31), increase in N3 sleep (d = 0.23), and a small-to-moderate decrease in REM sleep (d = -0.48) on nights of active tVNS relative to sham stimulation. tVNS was also associated with a moderate reduction in cyclic alternating pattern (CAP) rate (d = -0.65) and small-to-moderate increase in RSAP-B during NREM sleep. Greater NREM RSAP-B was associated with a reduced CAP rate and NREM alpha power. This pilot study provides preliminary evidence that tVNS may improve sleep depth and stability in veterans with PTSD, as well as increase parasympathetically mediated nocturnal autonomic activity. These results warrant continued investigation into tVNS as a potential tool for treating sleep disturbance in veterans with PTSD.
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Affiliation(s)
- Sarah A Bottari
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
- Center for OCD, Anxiety, and Related Disorders, Department of Psychiatry, University of Florida, Gainesville, Florida, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, USA
| | - Damon G Lamb
- Center for OCD, Anxiety, and Related Disorders, Department of Psychiatry, University of Florida, Gainesville, Florida, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, USA
- Department of Neuroscience, University of Florida, Gainesville, Florida, USA
- Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Eric C Porges
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Aidan J Murphy
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Amy B Tran
- College of Medicine, Florida State University, Tallahassee, Florida, USA
| | - Raffaele Ferri
- Sleep Research Center, Oasi Research Institute - IRCCS, Troina, Italy
| | - Michael S Jaffee
- Department of Neurology, University of Florida, Gainesville, Florida, USA
| | - Maria I Davila
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Simon Hartmann
- School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, South Australia, Australia
| | - Mathias Baumert
- School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, South Australia, Australia
| | - John B Williamson
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
- Center for OCD, Anxiety, and Related Disorders, Department of Psychiatry, University of Florida, Gainesville, Florida, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, USA
- Department of Neuroscience, University of Florida, Gainesville, Florida, USA
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
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Seo J, Lee S, Lee J, Jeon S, Hwang Y, Kim J, Kim SJ. Effects of sleep and impulsivity on suicidality in shift and non-shift workers. J Affect Disord 2023; 338:554-560. [PMID: 37393955 DOI: 10.1016/j.jad.2023.06.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 06/06/2023] [Accepted: 06/27/2023] [Indexed: 07/04/2023]
Abstract
INTRODUCTION Shift workers are known to have a higher suicide risk than non-shift workers. Sleep disturbance and impulsivity are also risk factors for suicidality. This study investigated the effects of poor sleep and impulsivity on suicidality in shift and non-shift workers. METHODS In total, 4572 shift workers (37.0 ± 9.84 years, 2150 males) and 2093 non-shift workers (37.8 ± 9.73 years, 999 males) participated in an online self-report survey. Suicidality was assessed using the Suicidal Behaviors Questionnaire. The Pittsburgh Sleep Quality Index was employed to explore subjective sleep quality, the Insomnia Severity Index to detect insomnia, the Epworth Sleepiness Scale (ESS) to evaluate excessive daytime sleepiness (EDS), the Center for Epidemiological Studies-Depression (CES-D) Scale to assess depressive symptoms, and the Impulsive Behavior Scale (UPPS-P) to explore impulsivity. RESULTS Shift workers showed poorer sleep quality, and greater impulsivity and suicidality, than non-shift workers. Impulsivity, sleep duration, sleep quality, and insomnia were significantly associated with suicidality, independent of depression. For both shift and non-shift workers, sleep quality moderated the association between impulsivity and suicidality. However, the moderating effects of sleep duration and EDS on the association between impulsivity and suicidality were apparent only in non-shift workers, while a moderating effect of insomnia was observed only in shift workers. CONCLUSION Shift work, sleep disturbances and impulsivity may exacerbate suicide risk. In addition, the interrelationships among insomnia, EDS, impulsivity, and suicidality may differ between shift and non-shift workers.
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Affiliation(s)
- Jihyo Seo
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Somi Lee
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Jooyoung Lee
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Sehyun Jeon
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Yunjee Hwang
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Jichul Kim
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Seog Ju Kim
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, Republic of Korea.
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Silva MA, Gonzalez AV, Tang X, Carnahan ND, Klyce DW, Liou-Johnson V, Martin AM, Moberg JM, Dreer LE. Examining the Relationship Between Sleep Apnea Diagnosis and Suicide Risk in Veterans With Traumatic Brain Injury: A VA TBI Model Systems Study. J Head Trauma Rehabil 2023; 38:359-367. [PMID: 36727802 DOI: 10.1097/htr.0000000000000856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Obstructive sleep apnea (OSA) is a common sleep disorder in people with traumatic brain injury (TBI). Although sleep disturbances have been associated with an increased risk of suicide compared with the general population, the relationship between OSA and suicide risk after TBI is not well documented. In this study, we hypothesized that OSA diagnosis would predict suicide risk in veterans with TBI. SETTING Five Veterans Affairs (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS Participants were drawn from the VA TBI Model Systems study, with follow-up interviews at year 1 ( n = 392), year 2 ( n = 444), year 5 ( n = 498), or year 10 ( n = 252) post-TBI (7.8%-14.5% follow-up attrition). DESIGN This was a retrospective analysis from observational data using logistic regression with repeated measurements. Suicide ideation and suicide attempts were examined as outcomes at each follow-up to evaluate the relationship between OSA and suicide risk after adjusting for other risk factors determined a priori via literature review. MAIN MEASURES Suicidal ideation (Patient Health Questionnaire-9 item 9), suicide attempt during the past year (self-reported), and OSA diagnosis (self-reported). RESULTS Contrary to study hypotheses, OSA diagnosis had no statistically significant association with suicide ideation or attempt after accounting for known predictors. However, greater depression symptoms, headache severity, and pre-TBI suicidal ideation and attempts predicted suicide risk at follow-up after accounting for other predictors. CONCLUSIONS Results of this study did not support a relationship between OSA and suicide risk, possibly due to methodological limitations of OSA measurement. Future research on this topic should include objective measures of OSA severity and OSA treatment including adherence. Although suicide is a low base rate occurrence, the impact is disastrous and further research is needed to mitigate suicide risk.
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MESH Headings
- Humans
- Brain Injuries, Traumatic/diagnosis
- Brain Injuries, Traumatic/epidemiology
- Brain Injuries, Traumatic/complications
- Retrospective Studies
- Sleep Apnea, Obstructive/diagnosis
- Sleep Apnea, Obstructive/epidemiology
- Sleep Apnea, Obstructive/complications
- Stress Disorders, Post-Traumatic/diagnosis
- Stress Disorders, Post-Traumatic/epidemiology
- Stress Disorders, Post-Traumatic/complications
- Suicidal Ideation
- Suicide, Attempted
- Veterans
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Affiliation(s)
- Marc A Silva
- Mental Health and Behavioral Sciences Section (Drs Silva, Gonzalez, and Martin) and Research Service (Mr Moberg), James A. Haley Veterans' Hospital, Tampa, Florida; Dept. of Internal Medicine and Dept. of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa (Dr Silva); Tampa VA Research and Education Foundation, Tampa, Florida (Dr Tang); Central Virginia VA Health Care System, Richmond (Drs Carnahan and Klyce); Dept. of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond (Dr Klyce); Sheltering Arms Institute, Richmond, Virginia (Dr Klyce); VA Palo Alto Healthcare Center, Palo Alto, California (Dr Liou-Johnson); Clinical Excellence Research Center, Stanford University School of Medicine, Stanford, California (Dr Liou-Johnson); Traumatic Brain Injury Center of Excellence (TBICoE), Tampa, Florida (Mr Moberg); and University of Alabama at Birmingham (Dr Dreer). Dr Carnahan is now affiliated with the Department of Physical Medicine and Rehabilitation at Johns Hopkins, Baltimore, Maryland
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Yin J, Xu J, Ren TL. Recent Progress in Long-Term Sleep Monitoring Technology. BIOSENSORS 2023; 13:395. [PMID: 36979607 PMCID: PMC10046225 DOI: 10.3390/bios13030395] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/11/2023] [Accepted: 03/14/2023] [Indexed: 06/18/2023]
Abstract
Sleep is an essential physiological activity, accounting for about one-third of our lives, which significantly impacts our memory, mood, health, and children's growth. Especially after the COVID-19 epidemic, sleep health issues have attracted more attention. In recent years, with the development of wearable electronic devices, there have been more and more studies, products, or solutions related to sleep monitoring. Many mature technologies, such as polysomnography, have been applied to clinical practice. However, it is urgent to develop wearable or non-contacting electronic devices suitable for household continuous sleep monitoring. This paper first introduces the basic knowledge of sleep and the significance of sleep monitoring. Then, according to the types of physiological signals monitored, this paper describes the research progress of bioelectrical signals, biomechanical signals, and biochemical signals used for sleep monitoring. However, it is not ideal to monitor the sleep quality for the whole night based on only one signal. Therefore, this paper reviews the research on multi-signal monitoring and introduces systematic sleep monitoring schemes. Finally, a conclusion and discussion of sleep monitoring are presented to propose potential future directions and prospects for sleep monitoring.
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Affiliation(s)
- Jiaju Yin
- School of Integrated Circuits, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Jiandong Xu
- School of Integrated Circuits, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Tian-Ling Ren
- School of Integrated Circuits, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
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Holmgren JG, Morrow A, Coffee AK, Nahod PM, Santora SH, Schwartz B, Stiegmann RA, Zanetti CA. Utilizing digital predictive biomarkers to identify Veteran suicide risk. Front Digit Health 2022; 4:913590. [PMID: 36329831 PMCID: PMC9624222 DOI: 10.3389/fdgth.2022.913590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 09/12/2022] [Indexed: 12/02/2022] Open
Abstract
Veteran suicide is one of the most complex and pressing health issues in the United States. According to the 2020 National Veteran Suicide Prevention Annual Report, since 2018 an average of 17.2 Veterans died by suicide each day. Veteran suicide risk screening is currently limited to suicide hotlines, patient reporting, patient visits, and family or friend reporting. As a result of these limitations, innovative approaches in suicide screening are increasingly garnering attention. An essential feature of these innovative methods includes better incorporation of risk factors that might indicate higher risk for tracking suicidal ideation based on personal behavior. Digital technologies create a means through which measuring these risk factors more reliably, with higher fidelity, and more frequently throughout daily life is possible, with the capacity to identify potentially telling behavior patterns. In this review, digital predictive biomarkers are discussed as they pertain to suicide risk, such as sleep vital signs, sleep disturbance, sleep quality, and speech pattern recognition. Various digital predictive biomarkers are reviewed and evaluated as well as their potential utility in predicting and diagnosing Veteran suicidal ideation in real time. In the future, these digital biomarkers could be combined to generate further suicide screening for diagnosis and severity assessments, allowing healthcare providers and healthcare teams to intervene more optimally.
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Affiliation(s)
- Jackson G. Holmgren
- Rocky Vista University College of Osteopathic Medicine, Ivins, UT, United States,Correspondence: Jackson G. Holmgren
| | - Adelene Morrow
- Rocky Vista University College of Osteopathic Medicine, Ivins, UT, United States
| | - Ali K. Coffee
- Rocky Vista University College of Osteopathic Medicine, Ivins, UT, United States
| | - Paige M. Nahod
- Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States
| | - Samantha H. Santora
- Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States
| | - Brian Schwartz
- Department of Medical Humanities, Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States
| | - Regan A. Stiegmann
- Department of Tracks and Special Programs, Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States,Flight Medicine, US Air Force Academy, Colorado Springs, CO, United States
| | - Cole A. Zanetti
- Department of Tracks and Special Programs, Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States,Chief Health Informatics Officer, Ralph H Johnson VA Health System, Charleston, SC, United States
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