Smartphone language features may help identify adverse post-traumatic neuropsychiatric sequelae and their trajectories
Abstract Language features may reflect underlying cognitive and emotional processes following a traumatic event that portend clinical outcomes. The authors sought to determine whether language features from usual smartphone use were markers associated with concurrent posttraumatic symptoms and worse...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
|
| Series: | NPP-Digital Psychiatry and Neuroscience |
| Online Access: | https://doi.org/10.1038/s44277-025-00028-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849325975914938368 |
|---|---|
| author | Lisa Vizer Jennifer Pierce Yinyao Ji Meredith A. Bucher Mochuan Liu Lyle Ungar Salvatore Giorgi Zhaopeng Xing Stacey L. House Francesca L. Beaudoin Jennifer S. Stevens Thomas C. Neylan Gari D. Clifford Tanja Jovanovic Sarah D. Linnstaedt Donglin Zeng Laura T. Germine Kenneth A. Bollen Scott L. Rauch John P. Haran Alan B. Storrow Christopher Lewandowski Paul I. Musey Phyllis L. Hendry Sophia Sheikh Christopher W. Jones Brittany E. Punches Lauren A. Hudak Jose L. Pascual Mark J. Seamon Erica Harris Claire Pearson David A. Peak Roland C. Merchant Robert M. Domeier Brian J. O’Neil Paulina Sergot Leon D. Sanchez Steven E. Bruce Steven E. Harte Ronald C. Kessler Karestan C. Koenen Samuel A. McLean Xinming An |
| author_facet | Lisa Vizer Jennifer Pierce Yinyao Ji Meredith A. Bucher Mochuan Liu Lyle Ungar Salvatore Giorgi Zhaopeng Xing Stacey L. House Francesca L. Beaudoin Jennifer S. Stevens Thomas C. Neylan Gari D. Clifford Tanja Jovanovic Sarah D. Linnstaedt Donglin Zeng Laura T. Germine Kenneth A. Bollen Scott L. Rauch John P. Haran Alan B. Storrow Christopher Lewandowski Paul I. Musey Phyllis L. Hendry Sophia Sheikh Christopher W. Jones Brittany E. Punches Lauren A. Hudak Jose L. Pascual Mark J. Seamon Erica Harris Claire Pearson David A. Peak Roland C. Merchant Robert M. Domeier Brian J. O’Neil Paulina Sergot Leon D. Sanchez Steven E. Bruce Steven E. Harte Ronald C. Kessler Karestan C. Koenen Samuel A. McLean Xinming An |
| author_sort | Lisa Vizer |
| collection | DOAJ |
| description | Abstract Language features may reflect underlying cognitive and emotional processes following a traumatic event that portend clinical outcomes. The authors sought to determine whether language features from usual smartphone use were markers associated with concurrent posttraumatic symptoms and worsening or improving posttraumatic symptoms over time following a traumatic exposure. This investigation was a secondary analysis of the Advancing Understanding of RecOvery afteR traumA study, a longitudinal study of traumatic outcomes among survivors recruited from 33 emergency departments across the United States. Adverse posttraumatic sequelae were assessed over the six months following the initial traumatic exposure. Language features were extracted from usual smartphone use in a specialized app. Bivariate linear mixed models were used to identify and validate language features that are markers associated with posttraumatic symptoms. Participants were 1744 trauma survivors, with a mean age of 39 [SD = 13] years old, and 56% were female. Fourteen language features were associated with severity level of posttraumatic symptoms at specific timepoints (cross-sectional markers) and five features were associated with change in severity level of posttraumatic symptoms (longitudinal markers). References to the body and health or illness were predictive of worsening pain, somatic, and thinking/concentration/fatigue symptom severity over time. An increase in references to others was associated with improvement in somatic symptom severity over time and increases in expressions of causation or cognitive processes were associated with improvement in pain symptom severity over time. Language features derived from usual smartphone use can convey important information about health, functioning, and recovery following a traumatic event. Clinicians might utilize such information to determine who may experience a high symptom burden or risk of worsening posttraumatic symptoms. |
| format | Article |
| id | doaj-art-9796fe31cbc74ee7b095c42188012fb4 |
| institution | Kabale University |
| issn | 2948-1570 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Springer |
| record_format | Article |
| series | NPP-Digital Psychiatry and Neuroscience |
| spelling | doaj-art-9796fe31cbc74ee7b095c42188012fb42025-08-20T03:48:15ZengSpringerNPP-Digital Psychiatry and Neuroscience2948-15702025-05-013111010.1038/s44277-025-00028-xSmartphone language features may help identify adverse post-traumatic neuropsychiatric sequelae and their trajectoriesLisa Vizer0Jennifer Pierce1Yinyao Ji2Meredith A. Bucher3Mochuan Liu4Lyle Ungar5Salvatore Giorgi6Zhaopeng Xing7Stacey L. House8Francesca L. Beaudoin9Jennifer S. Stevens10Thomas C. Neylan11Gari D. Clifford12Tanja Jovanovic13Sarah D. Linnstaedt14Donglin Zeng15Laura T. Germine16Kenneth A. Bollen17Scott L. Rauch18John P. Haran19Alan B. Storrow20Christopher Lewandowski21Paul I. Musey22Phyllis L. Hendry23Sophia Sheikh24Christopher W. Jones25Brittany E. Punches26Lauren A. Hudak27Jose L. Pascual28Mark J. Seamon29Erica Harris30Claire Pearson31David A. Peak32Roland C. Merchant33Robert M. Domeier34Brian J. O’Neil35Paulina Sergot36Leon D. Sanchez37Steven E. Bruce38Steven E. Harte39Ronald C. Kessler40Karestan C. Koenen41Samuel A. McLean42Xinming An43Department of Medicine, Division of General Medicine and Clinical Epidemiology, University of North Carolina at Chapel HillDepartment of Anesthesiology, University of MichiganInstitute for Trauma Recovery, Department of Psychiatry, University of North Carolina at Chapel HillInstitute for Trauma Recovery, Department of Psychiatry, University of North Carolina at Chapel HillDepartment of Biostatistics, University of North Carolina at Chapel HillComputer and Information Science, University of PennsylvaniaComputer and Information Science, University of PennsylvaniaCVS HealthDepartment of Emergency Medicine, Washington University School of MedicineDepartment of Epidemiology, Brown UniversityDepartment of Psychiatry and Behavioral Sciences, Emory University School of MedicineDepartments of Psychiatry and Neurology, University of California San FranciscoDepartment of Biomedical Informatics, Emory University School of MedicineDepartment of Psychiatry and Behavioral Neurosciences, Wayne State UniversityInstitute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel HillDepartment of Biostatistics, University of North Carolina at Chapel HillInstitute for Technology in Psychiatry, McLean HospitalDepartment of Psychology and Neuroscience & Department of Sociology, University of North Carolina at Chapel HillInstitute for Technology in Psychiatry, McLean HospitalDepartment of Emergency Medicine, University of Massachusetts Chan Medical SchoolDepartment of Emergency Medicine, Vanderbilt University Medical CenterDepartment of Emergency Medicine, Henry Ford Health SystemDepartment of Emergency Medicine, Indiana University School of MedicineDepartment of Emergency Medicine, University of Florida College of Medicine -JacksonvilleDepartment of Emergency Medicine, University of Florida College of Medicine -JacksonvilleDepartment of Emergency Medicine, Cooper Medical School of Rowan UniversityDepartment of Emergency Medicine, Ohio State University College of MedicineDepartment of Emergency Medicine, Emory University School of MedicineDepartment of Surgery, Department of Neurosurgery, University of PennsylvaniaPerelman School of Medicine, University of PennsylvaniaDepartment of Emergency Medicine, Einstein Medical CenterDepartment of Emergency Medicine, Wayne State University, Ascension St. John HospitalDepartment of Emergency Medicine, Massachusetts General HospitalDepartment of Emergency Medicine, Brigham and Women’s HospitalDepartment of Emergency Medicine, Trinity Health-Ann ArborDepartment of Emergency Medicine, Wayne State University, Detroit Receiving HospitalDepartment of Emergency Medicine, McGovern Medical School at UTHealthDepartment of Emergency Medicine, Harvard Medical SchoolDepartment of Psychological Sciences, University of Missouri - St. LouisDepartment of Anesthesiology, University of Michigan Medical SchoolDepartment of Health Care Policy, Harvard Medical SchoolDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard UniversityInstitute for Trauma Recovery, Department of Psychiatry, University of North Carolina at Chapel HillInstitute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel HillAbstract Language features may reflect underlying cognitive and emotional processes following a traumatic event that portend clinical outcomes. The authors sought to determine whether language features from usual smartphone use were markers associated with concurrent posttraumatic symptoms and worsening or improving posttraumatic symptoms over time following a traumatic exposure. This investigation was a secondary analysis of the Advancing Understanding of RecOvery afteR traumA study, a longitudinal study of traumatic outcomes among survivors recruited from 33 emergency departments across the United States. Adverse posttraumatic sequelae were assessed over the six months following the initial traumatic exposure. Language features were extracted from usual smartphone use in a specialized app. Bivariate linear mixed models were used to identify and validate language features that are markers associated with posttraumatic symptoms. Participants were 1744 trauma survivors, with a mean age of 39 [SD = 13] years old, and 56% were female. Fourteen language features were associated with severity level of posttraumatic symptoms at specific timepoints (cross-sectional markers) and five features were associated with change in severity level of posttraumatic symptoms (longitudinal markers). References to the body and health or illness were predictive of worsening pain, somatic, and thinking/concentration/fatigue symptom severity over time. An increase in references to others was associated with improvement in somatic symptom severity over time and increases in expressions of causation or cognitive processes were associated with improvement in pain symptom severity over time. Language features derived from usual smartphone use can convey important information about health, functioning, and recovery following a traumatic event. Clinicians might utilize such information to determine who may experience a high symptom burden or risk of worsening posttraumatic symptoms.https://doi.org/10.1038/s44277-025-00028-x |
| spellingShingle | Lisa Vizer Jennifer Pierce Yinyao Ji Meredith A. Bucher Mochuan Liu Lyle Ungar Salvatore Giorgi Zhaopeng Xing Stacey L. House Francesca L. Beaudoin Jennifer S. Stevens Thomas C. Neylan Gari D. Clifford Tanja Jovanovic Sarah D. Linnstaedt Donglin Zeng Laura T. Germine Kenneth A. Bollen Scott L. Rauch John P. Haran Alan B. Storrow Christopher Lewandowski Paul I. Musey Phyllis L. Hendry Sophia Sheikh Christopher W. Jones Brittany E. Punches Lauren A. Hudak Jose L. Pascual Mark J. Seamon Erica Harris Claire Pearson David A. Peak Roland C. Merchant Robert M. Domeier Brian J. O’Neil Paulina Sergot Leon D. Sanchez Steven E. Bruce Steven E. Harte Ronald C. Kessler Karestan C. Koenen Samuel A. McLean Xinming An Smartphone language features may help identify adverse post-traumatic neuropsychiatric sequelae and their trajectories NPP-Digital Psychiatry and Neuroscience |
| title | Smartphone language features may help identify adverse post-traumatic neuropsychiatric sequelae and their trajectories |
| title_full | Smartphone language features may help identify adverse post-traumatic neuropsychiatric sequelae and their trajectories |
| title_fullStr | Smartphone language features may help identify adverse post-traumatic neuropsychiatric sequelae and their trajectories |
| title_full_unstemmed | Smartphone language features may help identify adverse post-traumatic neuropsychiatric sequelae and their trajectories |
| title_short | Smartphone language features may help identify adverse post-traumatic neuropsychiatric sequelae and their trajectories |
| title_sort | smartphone language features may help identify adverse post traumatic neuropsychiatric sequelae and their trajectories |
| url | https://doi.org/10.1038/s44277-025-00028-x |
| work_keys_str_mv | AT lisavizer smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT jenniferpierce smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT yinyaoji smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT meredithabucher smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT mochuanliu smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT lyleungar smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT salvatoregiorgi smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT zhaopengxing smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT staceylhouse smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT francescalbeaudoin smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT jennifersstevens smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT thomascneylan smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT garidclifford smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT tanjajovanovic smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT sarahdlinnstaedt smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT donglinzeng smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT lauratgermine smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT kennethabollen smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT scottlrauch smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT johnpharan smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT alanbstorrow smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT christopherlewandowski smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT paulimusey smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT phyllislhendry smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT sophiasheikh smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT christopherwjones smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT brittanyepunches smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT laurenahudak smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT joselpascual smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT markjseamon smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT ericaharris smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT clairepearson smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT davidapeak smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT rolandcmerchant smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT robertmdomeier smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT brianjoneil smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT paulinasergot smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT leondsanchez smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT stevenebruce smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT steveneharte smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT ronaldckessler smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT karestanckoenen smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT samuelamclean smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories AT xinmingan smartphonelanguagefeaturesmayhelpidentifyadverseposttraumaticneuropsychiatricsequelaeandtheirtrajectories |