Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication / Esha TRIVEDI ; Lilian Y. LI ; Fiona HELGREN ; Emily ZHANG ; Aishwarya SRITHARAN ; Rachel A. CHERNER ; David PAGLIACCIO ; Katherine DURHAM ; Mia KYLER ; Trinity C. TSE ; Savannah N. BUCHANAN ; Nicholas B. ALLEN ; Stewart A. SHANKMAN ; Randy P. AUERBACH in Journal of Child Psychology and Psychiatry, 65-7 (July 2024)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 65-7 (July 2024) . - p.932-941 Titre : Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication Type de document : texte imprimé Auteurs : Esha TRIVEDI, Auteur ; Lilian Y. LI, Auteur ; Fiona HELGREN, Auteur ; Emily ZHANG, Auteur ; Aishwarya SRITHARAN, Auteur ; Rachel A. CHERNER, Auteur ; David PAGLIACCIO, Auteur ; Katherine DURHAM, Auteur ; Mia KYLER, Auteur ; Trinity C. TSE, Auteur ; Savannah N. BUCHANAN, Auteur ; Nicholas B. ALLEN, Auteur ; Stewart A. SHANKMAN, Auteur ; Randy P. AUERBACH, Auteur Article en page(s) : p.932-941 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Cross sectional studies have identified linguistic correlates of major depressive disorder (MDD) in smartphone communication. However, it is unclear whether monitoring these linguistic characteristics can detect when an individual is experiencing MDD, which would facilitate timely intervention. Methods Approximately 1.2 million messages typed into smartphone social communication apps (e.g. texting, social media) were passively collected from 90 adolescents with a range of depression severity over a 12-month period. Sentiment (i.e. positive vs. negative valence of text), proportions of first-person singular pronouns (e.g. 'I'), and proportions of absolutist words (e.g. 'all') were computed for each message and converted to weekly aggregates temporally aligned with weekly MDD statuses obtained from retrospective interviews. Idiographic, multilevel logistic regression models tested whether within-person deviations in these linguistic features were associated with the probability of concurrently meeting threshold for MDD. Results Using more first-person singular pronouns in smartphone communication relative to one's own average was associated with higher odds of meeting threshold for MDD in the concurrent week (OR = 1.29; p = .007). Sentiment (OR = 1.07; p = .54) and use of absolutist words (OR = 0.99; p = .90) were not related to weekly MDD. Conclusions Passively monitoring use of first-person singular pronouns in adolescents' smartphone communication may help detect MDD, providing novel opportunities for early intervention. En ligne : https://doi.org/10.1111/jcpp.13931 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=532 [article] Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication [texte imprimé] / Esha TRIVEDI, Auteur ; Lilian Y. LI, Auteur ; Fiona HELGREN, Auteur ; Emily ZHANG, Auteur ; Aishwarya SRITHARAN, Auteur ; Rachel A. CHERNER, Auteur ; David PAGLIACCIO, Auteur ; Katherine DURHAM, Auteur ; Mia KYLER, Auteur ; Trinity C. TSE, Auteur ; Savannah N. BUCHANAN, Auteur ; Nicholas B. ALLEN, Auteur ; Stewart A. SHANKMAN, Auteur ; Randy P. AUERBACH, Auteur . - p.932-941. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 65-7 (July 2024) . - p.932-941 Index. décimale : PER Périodiques Résumé : Background Cross sectional studies have identified linguistic correlates of major depressive disorder (MDD) in smartphone communication. However, it is unclear whether monitoring these linguistic characteristics can detect when an individual is experiencing MDD, which would facilitate timely intervention. Methods Approximately 1.2 million messages typed into smartphone social communication apps (e.g. texting, social media) were passively collected from 90 adolescents with a range of depression severity over a 12-month period. Sentiment (i.e. positive vs. negative valence of text), proportions of first-person singular pronouns (e.g. 'I'), and proportions of absolutist words (e.g. 'all') were computed for each message and converted to weekly aggregates temporally aligned with weekly MDD statuses obtained from retrospective interviews. Idiographic, multilevel logistic regression models tested whether within-person deviations in these linguistic features were associated with the probability of concurrently meeting threshold for MDD. Results Using more first-person singular pronouns in smartphone communication relative to one's own average was associated with higher odds of meeting threshold for MDD in the concurrent week (OR = 1.29; p = .007). Sentiment (OR = 1.07; p = .54) and use of absolutist words (OR = 0.99; p = .90) were not related to weekly MDD. Conclusions Passively monitoring use of first-person singular pronouns in adolescents' smartphone communication may help detect MDD, providing novel opportunities for early intervention. En ligne : https://doi.org/10.1111/jcpp.13931 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=532

Implicit identification with death predicts change in suicide ideation during psychiatric treatment in adolescents / Catherine R. GLENN in Journal of Child Psychology and Psychiatry, 58-12 (December 2017)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 58-12 (December 2017) . - p.1319-1329 Titre : Implicit identification with death predicts change in suicide ideation during psychiatric treatment in adolescents Type de document : texte imprimé Auteurs : Catherine R. GLENN, Auteur ; Evan M. KLEIMAN, Auteur ; Daniel D.L. COPPERSMITH, Auteur ; Angela C. SANTEE, Auteur ; Erika C. ESPOSITO, Auteur ; Christine B. CHA, Auteur ; Matthew K. NOCK, Auteur ; Randy P. AUERBACH, Auteur Article en page(s) : p.1319-1329 Langues : Anglais (eng) Mots-clés : Suicide  suicidal behavior  adolescence  information processing  prediction Index. décimale : PER Périodiques Résumé : Background Suicidal thoughts and behaviors are major public health concerns in youth. Unfortunately, knowledge of reliable predictors of suicide risk in adolescents is limited. Promising research using a death stimuli version of the Implicit Association Test (Death IAT) indicates that stronger identification with death differs between adults with and without a history of suicidal thoughts and behaviors and uniquely predicts suicide ideation and behavior. However, research in adolescents is lacking and existing findings have been mixed. This study extends previous research by testing whether implicit identification with death predicts changes in suicide ideation during psychiatric treatment in adolescents. Methods Participants included 276 adolescents, ages 13–19, admitted to a short-term residential treatment program. At hospital admission and discharge, adolescents completed the Death IAT and measures of recent suicidal thoughts. Results At admission, implicit identification with death was associated with recent suicide ideation, but did not differ between those who engaged in prior suicidal behavior and those who did not. Prospectively, adolescents' implicit identification with death at admission significantly predicted their suicide ideation severity at discharge, above and beyond explicit suicide ideation. However, this effect only was significant for adolescents with longer treatment stays (i.e., more than 13 days). Conclusions Implicit identification with death predicts suicidal thinking among adolescents in psychiatric treatment. Findings clarify over what period of time implicit cognition about death may predict suicide risk in adolescents. En ligne : http://dx.doi.org/10.1111/jcpp.12769 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=326 [article] Implicit identification with death predicts change in suicide ideation during psychiatric treatment in adolescents [texte imprimé] / Catherine R. GLENN, Auteur ; Evan M. KLEIMAN, Auteur ; Daniel D.L. COPPERSMITH, Auteur ; Angela C. SANTEE, Auteur ; Erika C. ESPOSITO, Auteur ; Christine B. CHA, Auteur ; Matthew K. NOCK, Auteur ; Randy P. AUERBACH, Auteur . - p.1319-1329. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 58-12 (December 2017) . - p.1319-1329 Mots-clés : Suicide  suicidal behavior  adolescence  information processing  prediction Index. décimale : PER Périodiques Résumé : Background Suicidal thoughts and behaviors are major public health concerns in youth. Unfortunately, knowledge of reliable predictors of suicide risk in adolescents is limited. Promising research using a death stimuli version of the Implicit Association Test (Death IAT) indicates that stronger identification with death differs between adults with and without a history of suicidal thoughts and behaviors and uniquely predicts suicide ideation and behavior. However, research in adolescents is lacking and existing findings have been mixed. This study extends previous research by testing whether implicit identification with death predicts changes in suicide ideation during psychiatric treatment in adolescents. Methods Participants included 276 adolescents, ages 13–19, admitted to a short-term residential treatment program. At hospital admission and discharge, adolescents completed the Death IAT and measures of recent suicidal thoughts. Results At admission, implicit identification with death was associated with recent suicide ideation, but did not differ between those who engaged in prior suicidal behavior and those who did not. Prospectively, adolescents' implicit identification with death at admission significantly predicted their suicide ideation severity at discharge, above and beyond explicit suicide ideation. However, this effect only was significant for adolescents with longer treatment stays (i.e., more than 13 days). Conclusions Implicit identification with death predicts suicidal thinking among adolescents in psychiatric treatment. Findings clarify over what period of time implicit cognition about death may predict suicide risk in adolescents. En ligne : http://dx.doi.org/10.1111/jcpp.12769 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=326

Neural sensitivity to peer feedback and depression symptoms in adolescents: a 2-year multiwave longitudinal study / David PAGLIACCIO in Journal of Child Psychology and Psychiatry, 64-2 (February 2023)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 64-2 (February 2023) . - p.254-264 Titre : Neural sensitivity to peer feedback and depression symptoms in adolescents: a 2-year multiwave longitudinal study Type de document : texte imprimé Auteurs : David PAGLIACCIO, Auteur ; Poornima KUMAR, Auteur ; Rahil A. KAMATH, Auteur ; Diego A. PIZZAGALLI, Auteur ; Randy P. AUERBACH, Auteur Article en page(s) : p.254-264 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Depression risk increases during adolescent development, and individual differences in neural sensitivity to peer feedback (rejection vs. acceptance) may be a key diathesis in understanding stress-related depression risk. Methods At baseline, adolescents (12-14 years old; N=124) completed clinical interviews and self-report symptom measures, and the Chatroom Task while MRI data were acquired. The majority of participants provided usable MRI data (N=90; 76% female), which included adolescents with no maternal depression history (low risk n=64) and those with a maternal depression history (high risk n=26). Whole-brain regression models probed group differences in neural sensitivity following peer feedback, and whole-brain linear mixed-effects models examined neural sensitivity to peer feedback by peer stress interactions relating to depression symptoms at up to nine longitudinal assessments over 2 years. Results Whole-brain cluster-corrected results indicated brain activation moderating the strong positive association between peer interpersonal stress and depression over time. This included activation in the anterior insula, cingulate, amygdala, and striatum during anticipation and receipt of feedback (i.e., rejection vs. acceptance). Moderation effects were stronger when examining peer interpersonal (vs. non-interpersonal) stress and in relation to depression (vs. social anxiety) symptoms. Conclusions Neural responses to peer feedback in key social and incentive processing brain regions may reflect core dispositional risk factors that interact with peer interpersonal stressors to predict adolescent depression symptom severity over time. En ligne : https://doi.org/10.1111/jcpp.13690 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492 [article] Neural sensitivity to peer feedback and depression symptoms in adolescents: a 2-year multiwave longitudinal study [texte imprimé] / David PAGLIACCIO, Auteur ; Poornima KUMAR, Auteur ; Rahil A. KAMATH, Auteur ; Diego A. PIZZAGALLI, Auteur ; Randy P. AUERBACH, Auteur . - p.254-264. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 64-2 (February 2023) . - p.254-264 Index. décimale : PER Périodiques Résumé : Background Depression risk increases during adolescent development, and individual differences in neural sensitivity to peer feedback (rejection vs. acceptance) may be a key diathesis in understanding stress-related depression risk. Methods At baseline, adolescents (12-14 years old; N=124) completed clinical interviews and self-report symptom measures, and the Chatroom Task while MRI data were acquired. The majority of participants provided usable MRI data (N=90; 76% female), which included adolescents with no maternal depression history (low risk n=64) and those with a maternal depression history (high risk n=26). Whole-brain regression models probed group differences in neural sensitivity following peer feedback, and whole-brain linear mixed-effects models examined neural sensitivity to peer feedback by peer stress interactions relating to depression symptoms at up to nine longitudinal assessments over 2 years. Results Whole-brain cluster-corrected results indicated brain activation moderating the strong positive association between peer interpersonal stress and depression over time. This included activation in the anterior insula, cingulate, amygdala, and striatum during anticipation and receipt of feedback (i.e., rejection vs. acceptance). Moderation effects were stronger when examining peer interpersonal (vs. non-interpersonal) stress and in relation to depression (vs. social anxiety) symptoms. Conclusions Neural responses to peer feedback in key social and incentive processing brain regions may reflect core dispositional risk factors that interact with peer interpersonal stressors to predict adolescent depression symptom severity over time. En ligne : https://doi.org/10.1111/jcpp.13690 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492

Predicting the trajectory of non-suicidal self-injury among adolescents / Geneva E. MASON ; Randy P. AUERBACH ; Jeremy G. STEWART in Journal of Child Psychology and Psychiatry, 66-2 (February 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-2 (February 2025) . - p.189-201 Titre : Predicting the trajectory of non-suicidal self-injury among adolescents : Journal of Child Psychology and Psychiatry Type de document : texte imprimé Auteurs : Geneva E. MASON, Auteur ; Randy P. AUERBACH, Auteur ; Jeremy G. STEWART, Auteur Article en page(s) : p.189-201 Langues : Anglais (eng) Mots-clés : Adolescence  self-injury  suicidal behavior  longitudinal studies  machine learning Index. décimale : PER Périodiques Résumé : Background Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiatric treatment and the months post-discharge is a high-risk period for self-injurious behavior. Thus, identifying predictors that shape the course of post-discharge NSSI may provide insights into ways to improve clinical outcomes. Accordingly, we used machine learning to identify the strongest predictors of NSSI trajectories drawn from a comprehensive clinical assessment. Methods The study included adolescents (N 612; females n 435; 71.1%) aged 13 19-years-old (M 15.6, SD 1.4) undergoing inpatient treatment. Youth were administered clinical interviews and symptom questionnaires at intake (baseline) and before termination. NSSI frequency was assessed at 1-, 3-, and 6-month follow-ups. Latent class growth analyses were used to group adolescents based on their pattern of NSSI across follow-ups. Results Three classes were identified: Low Stable (n 83), Moderate Fluctuating (n 260), and High Persistent (n 269). Important predictors of the High Persistent class in our regularized regression models (LASSO) included baseline psychiatric symptoms and comorbidity, past-week suicidal ideation (SI) severity, lifetime average and worst-point SI intensity, and NSSI in the past 30 days (bs 0.75 2.33). Only worst-point lifetime suicide ideation intensity was identified as a predictor of the Low Stable class (b 8.82); no predictors of the Moderate Fluctuating class emerged. Conclusions This study found a set of intake clinical variables that indicate which adolescents may experience persistent NSSI post-discharge. Accordingly, this may help identify youth that may benefit from additional monitoring and support post-hospitalization. En ligne : https://doi.org/10.1111/jcpp.14046 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=545 [article] Predicting the trajectory of non-suicidal self-injury among adolescents : Journal of Child Psychology and Psychiatry [texte imprimé] / Geneva E. MASON, Auteur ; Randy P. AUERBACH, Auteur ; Jeremy G. STEWART, Auteur . - p.189-201. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-2 (February 2025) . - p.189-201 Mots-clés : Adolescence  self-injury  suicidal behavior  longitudinal studies  machine learning Index. décimale : PER Périodiques Résumé : Background Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiatric treatment and the months post-discharge is a high-risk period for self-injurious behavior. Thus, identifying predictors that shape the course of post-discharge NSSI may provide insights into ways to improve clinical outcomes. Accordingly, we used machine learning to identify the strongest predictors of NSSI trajectories drawn from a comprehensive clinical assessment. Methods The study included adolescents (N 612; females n 435; 71.1%) aged 13 19-years-old (M 15.6, SD 1.4) undergoing inpatient treatment. Youth were administered clinical interviews and symptom questionnaires at intake (baseline) and before termination. NSSI frequency was assessed at 1-, 3-, and 6-month follow-ups. Latent class growth analyses were used to group adolescents based on their pattern of NSSI across follow-ups. Results Three classes were identified: Low Stable (n 83), Moderate Fluctuating (n 260), and High Persistent (n 269). Important predictors of the High Persistent class in our regularized regression models (LASSO) included baseline psychiatric symptoms and comorbidity, past-week suicidal ideation (SI) severity, lifetime average and worst-point SI intensity, and NSSI in the past 30 days (bs 0.75 2.33). Only worst-point lifetime suicide ideation intensity was identified as a predictor of the Low Stable class (b 8.82); no predictors of the Moderate Fluctuating class emerged. Conclusions This study found a set of intake clinical variables that indicate which adolescents may experience persistent NSSI post-discharge. Accordingly, this may help identify youth that may benefit from additional monitoring and support post-hospitalization. En ligne : https://doi.org/10.1111/jcpp.14046 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=545

Smartphone language and resting-state EEG indicators of self-focused attention prospectively predict major depressive disorder risk in adolescents / Lilian Y. LI in Journal of Child Psychology and Psychiatry, 67-6 (June 2026)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 67-6 (June 2026) . - p.941-950 Titre : Smartphone language and resting-state EEG indicators of self-focused attention prospectively predict major depressive disorder risk in adolescents Type de document : texte imprimé Auteurs : Lilian Y. LI, Auteur ; Nayoung KIM, Auteur ; Esha TRIVEDI, Auteur ; Sarah E. SARKAS, Auteur ; Madeline M. MCGREGOR, Auteur ; Aishwarya SRITHARAN, Auteur ; Katherine DURHAM, Auteur ; Ivan ALEKSEICHUK, Auteur ; Allison M. LETKIEWICZ, Auteur ; Vijay A. MITTAL, Auteur ; David PAGLIACCIO, Auteur ; Nicholas B. ALLEN, Auteur ; Randy P. AUERBACH, Auteur ; Stewart A. SHANKMAN, Auteur Article en page(s) : p.941-950 Langues : Anglais (eng) Mots-clés : Depression  adolescence  self-focused attention  digital phenotyping  EEG alpha oscillations Index. décimale : PER Périodiques Résumé : Background Central to major depressive disorder (MDD) onset and maintenance is maladaptive self-focused attention, which can be reliably indexed by greater: (a) usage of first-person singular pronouns (e.g., I) in natural language and (b) alpha oscillations in resting-state EEG. Integrating these largely parallel bodies of research, the present study sought to explicate the associations between, and prospective predictive utility of, linguistic and neural indicators of self-focused attention in adolescents with remitted MDD over 12?months. Methods At baseline, 126 adolescents (ages 13?18) with (n?=?66) and without (n?=?60) remitted MDD completed resting-state EEG. Retrospective interviews determined the occurrence of major depressive episodes (MDEs) during the follow-up period. A total of ~2.3?million messages were passively acquired from adolescents' smartphones, on which the proportion of first-person singular pronouns was derived. Results During the 12?months, 29 (23.0%) participants developed an MDE (28 remitted MDD, 1 control). Cox regression showed that while greater usage of first-person singular pronouns prior to MDE increased the risk for MDE (hazard ratio [HR]?=?2.02, p? En ligne : https://doi.org/10.1111/jcpp.70096 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=587 [article] Smartphone language and resting-state EEG indicators of self-focused attention prospectively predict major depressive disorder risk in adolescents [texte imprimé] / Lilian Y. LI, Auteur ; Nayoung KIM, Auteur ; Esha TRIVEDI, Auteur ; Sarah E. SARKAS, Auteur ; Madeline M. MCGREGOR, Auteur ; Aishwarya SRITHARAN, Auteur ; Katherine DURHAM, Auteur ; Ivan ALEKSEICHUK, Auteur ; Allison M. LETKIEWICZ, Auteur ; Vijay A. MITTAL, Auteur ; David PAGLIACCIO, Auteur ; Nicholas B. ALLEN, Auteur ; Randy P. AUERBACH, Auteur ; Stewart A. SHANKMAN, Auteur . - p.941-950. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 67-6 (June 2026) . - p.941-950 Mots-clés : Depression  adolescence  self-focused attention  digital phenotyping  EEG alpha oscillations Index. décimale : PER Périodiques Résumé : Background Central to major depressive disorder (MDD) onset and maintenance is maladaptive self-focused attention, which can be reliably indexed by greater: (a) usage of first-person singular pronouns (e.g., I) in natural language and (b) alpha oscillations in resting-state EEG. Integrating these largely parallel bodies of research, the present study sought to explicate the associations between, and prospective predictive utility of, linguistic and neural indicators of self-focused attention in adolescents with remitted MDD over 12?months. Methods At baseline, 126 adolescents (ages 13?18) with (n?=?66) and without (n?=?60) remitted MDD completed resting-state EEG. Retrospective interviews determined the occurrence of major depressive episodes (MDEs) during the follow-up period. A total of ~2.3?million messages were passively acquired from adolescents' smartphones, on which the proportion of first-person singular pronouns was derived. Results During the 12?months, 29 (23.0%) participants developed an MDE (28 remitted MDD, 1 control). Cox regression showed that while greater usage of first-person singular pronouns prior to MDE increased the risk for MDE (hazard ratio [HR]?=?2.02, p? En ligne : https://doi.org/10.1111/jcpp.70096 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=587

Stress exposure in at-risk, depressed, and suicidal adolescents / Diego A. PIZZAGALLI ; Randy P. AUERBACH in Journal of Child Psychology and Psychiatry, 65-7 (July 2024)  

Permalink

Testing the interpersonal theory of suicide in adolescents: A multi-wave longitudinal study / David PAGLIACCIO in Journal of Child Psychology and Psychiatry, 65-5 (May 2024)  

Permalink

The Cost of Materialism in a Collectivistic Culture: Predicting Risky Behavior Engagement in Chinese Adolescents / Randy P. AUERBACH in Journal of Clinical Child & Adolescent Psychology, 39-1 (January-February 2010)  

Permalink

The Stress and Adversity Inventory for Adolescents (Adolescent STRAIN): associations with mental and physical health, risky behaviors, and psychiatric diagnoses in youth seeking treatment / George M. SLAVICH in Journal of Child Psychology and Psychiatry, 60-9 (September 2019)  

Permalink

---

1 (1 - 9 / 9) Par page : 25 50 100 200