Nicholas C Jacobson
Dados Biográficos
| ID | 1663247 |
|---|---|
| NOME | Nicholas C Jacobson |
| PRENOMES | Nicholas C |
| SOBRENOME | Jacobson |
| ASSINATURA | JACOBSON N C |
| AFILIAÇÕES | Dartmouth College |
| ORCID | 0000-0002-8832-4741 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 16 |
| TOTAL DE CITAÇÕES | 17 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2017 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
Just in Time or Just a Guess? Addressing Challenges in Validating Prediction Models Based on Longitudinal Data
A common goal of researchers using intensive longitudinal data is to develop models that predict emotions or behaviors, often using passively collected data from smartphone sensors or wearable devices. A frequent use case for such models is the development of just-in-time adaptive interventions (JITAIs). However, real-world effectiveness depends on rigorous evaluation. Previous research has highlighted challenges in selecting appropriate evaluati…
Associations between microaggressions, depression, anxiety, and alcohol use among Black young adults: Findings from a pilot study
Objective This pilot study, which was designed to inform mobile health intervention development, assessed the frequency of various microaggressions and explored associations among microaggressions, alcohol use, depression, and anxiety in Black young adults. Methods Ninety-two Black adults (mean age = 22.2 [SD = 1.9]) who regularly consume alcohol were recruited through social media to complete a survey on microaggressions, depression, anxiety, an…
Co-designing a mobile application to reduce self-stigma for people with opioid use disorder during pregnancy and the postpartum period
These results support the potential of digital interventions to reduce self-stigma and improve perinatal OUD recovery outcomes. The DDBT framework provides structure to understand lived experiences, adapt rapidly, and evaluate digital intervention efficacy
The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens
Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents
Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort Study
OBJECTIVE: Transdiagnostic perspectives on the shared origins of mental illness posit that dysregulated emotion may represent a key driving force behind multiple forms of psychopathology, including substance use disorders. The present study examined whether a link between dysregulated emotion and trying illicit substances could be observed in childhood. METHOD: = 9.9), individual differences in emotion dysregulation were indexed using child and p…
Development of a digital biomarker and intervention for subclinical depression: Study protocol for a longitudinal waitlist control study
Digital voice- and breathing-based biomarkers may improve diagnosis, prevention, and care by enabling an unobtrusive and either complementary or alternative assessment to self-reports. Furthermore, our results may advance our understanding of underlying psychophysiological changes in subclinical depression. Our study also provides further evidence regarding the efficacy of standalone digital health interventions to prevent depression. Trial regis…
Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom
A psychological flexibility perspective on well-being: Emotional reactivity, adaptive choices, and daily experiences
According to psychological flexibility theory, fully experiencing one's emotions, even when they involve negative reactions, can enhance psychological well-being. In pursuit of this possibility, procedures capable of disentangling reaction intensities from reaction durations, in response to affective images, were developed and variations of this paradigm were applied in understanding variations in happiness and adaptive behavior. Consistent with …
Predicting symptom response and engagement in a digital intervention among individuals with schizophrenia and related psychoses
The results suggest that individual smartphone digital intervention engagement is heterogeneous, and symptom-specific baseline data may be predictive of increased engagement and positive qualitative impressions of digital intervention in patients with psychosis. Taken together, interrogating individual response to and engagement with digital-based intervention with machine learning provides increased insight to otherwise ignored nuances of treatm…
The Feasibility and Utility of Harnessing Digital Health to Understand Clinical Trajectories in Medication Treatment for Opioid Use Disorder: D-Tect Study Design and Methodological Considerations
Identifier: NCT04535583
Adolescent Emotion Regulation and Future Psychopathology: A Prospective Transdiagnostic Analysis
Transdiagnostic frameworks posit a causal link between emotion regulation (ER) ability and psychopathology. However, there is little supporting longitudinal evidence for such frameworks. Among N = 1,262 adolescents, we examined the prospective bidirectional relationship between ER and future pathological anxiety, depression, and substance dependence symptoms in 10 assessment waves over 7 years. In Random-intercept cross-lagged panel models, withi…
Elena+ Care for Covid-19, a Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol
Background: The current COVID-19 coronavirus pandemic is an emergency on a global scale, with huge swathes of the population required to remain indoors for prolonged periods to tackle the virus. In this new context, individuals' health-promoting routines are under greater strain, contributing to poorer mental and physical health. Additionally, individuals are required to keep up to date with latest health guidelines about the virus, which may be …
Integration of discrete and global structures of affect across three large samples: Specific emotions within-persons and global affect between-persons
Researchers have held a long-standing debate regarding the validity of discrete emotions versus global affect. The current article tries to integrate these perspectives by explicitly examining the structures of state emotions and trait affect across time. Across three samples (Sample 1: N = 176 U.S. undergraduates in a 50 day daily diary study-total observations = 7,504; Sample 2: N = 2,104 in a 30 day daily diary study within a community sample …
Elections Have Consequences for Student Mental Health: An Accidental Daily Diary Study
Polling suggested that the 2016 United States presidential election affected citizens' mood and stress levels. Yet, polling often fails to employ repeated measurement designs that can capture pre- and post-levels of change within the same person. In this study, undergraduate students ( N = 85) completed a 14-day daily diary where mood, stress, and mental health outcomes were assessed before and after the election. Multilevel modeling revealed an …
Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies
Elections Have Consequences for Student Mental Health: An Accidental Daily Diary Study
Polling suggested that the 2016 United States presidential election affected citizens' mood and stress levels. Yet, polling often fails to employ repeated measurement designs that can capture pre- and post-levels of change within the same person. In this study, undergraduate students ( N = 85) completed a 14-day daily diary where mood, stress, and mental health outcomes were assessed before and after the election. Multilevel modeling revealed an …
Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies
Adolescent Emotion Regulation and Future Psychopathology: A Prospective Transdiagnostic Analysis
Transdiagnostic frameworks posit a causal link between emotion regulation (ER) ability and psychopathology. However, there is little supporting longitudinal evidence for such frameworks. Among N = 1,262 adolescents, we examined the prospective bidirectional relationship between ER and future pathological anxiety, depression, and substance dependence symptoms in 10 assessment waves over 7 years. In Random-intercept cross-lagged panel models, withi…
Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies
Elections Have Consequences for Student Mental Health: An Accidental Daily Diary Study
Polling suggested that the 2016 United States presidential election affected citizens' mood and stress levels. Yet, polling often fails to employ repeated measurement designs that can capture pre- and post-levels of change within the same person. In this study, undergraduate students ( N = 85) completed a 14-day daily diary where mood, stress, and mental health outcomes were assessed before and after the election. Multilevel modeling revealed an …
Elena+ Care for Covid-19, a Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol
Background: The current COVID-19 coronavirus pandemic is an emergency on a global scale, with huge swathes of the population required to remain indoors for prolonged periods to tackle the virus. In this new context, individuals' health-promoting routines are under greater strain, contributing to poorer mental and physical health. Additionally, individuals are required to keep up to date with latest health guidelines about the virus, which may be …
Integration of discrete and global structures of affect across three large samples: Specific emotions within-persons and global affect between-persons
Researchers have held a long-standing debate regarding the validity of discrete emotions versus global affect. The current article tries to integrate these perspectives by explicitly examining the structures of state emotions and trait affect across time. Across three samples (Sample 1: N = 176 U.S. undergraduates in a 50 day daily diary study-total observations = 7,504; Sample 2: N = 2,104 in a 30 day daily diary study within a community sample …
Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom
A psychological flexibility perspective on well-being: Emotional reactivity, adaptive choices, and daily experiences
According to psychological flexibility theory, fully experiencing one's emotions, even when they involve negative reactions, can enhance psychological well-being. In pursuit of this possibility, procedures capable of disentangling reaction intensities from reaction durations, in response to affective images, were developed and variations of this paradigm were applied in understanding variations in happiness and adaptive behavior. Consistent with …
Predicting symptom response and engagement in a digital intervention among individuals with schizophrenia and related psychoses
The results suggest that individual smartphone digital intervention engagement is heterogeneous, and symptom-specific baseline data may be predictive of increased engagement and positive qualitative impressions of digital intervention in patients with psychosis. Taken together, interrogating individual response to and engagement with digital-based intervention with machine learning provides increased insight to otherwise ignored nuances of treatm…
The Feasibility and Utility of Harnessing Digital Health to Understand Clinical Trajectories in Medication Treatment for Opioid Use Disorder: D-Tect Study Design and Methodological Considerations
Identifier: NCT04535583
Adolescent Emotion Regulation and Future Psychopathology: A Prospective Transdiagnostic Analysis
Transdiagnostic frameworks posit a causal link between emotion regulation (ER) ability and psychopathology. However, there is little supporting longitudinal evidence for such frameworks. Among N = 1,262 adolescents, we examined the prospective bidirectional relationship between ER and future pathological anxiety, depression, and substance dependence symptoms in 10 assessment waves over 7 years. In Random-intercept cross-lagged panel models, withi…
Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort Study
OBJECTIVE: Transdiagnostic perspectives on the shared origins of mental illness posit that dysregulated emotion may represent a key driving force behind multiple forms of psychopathology, including substance use disorders. The present study examined whether a link between dysregulated emotion and trying illicit substances could be observed in childhood. METHOD: = 9.9), individual differences in emotion dysregulation were indexed using child and p…
Development of a digital biomarker and intervention for subclinical depression: Study protocol for a longitudinal waitlist control study
Digital voice- and breathing-based biomarkers may improve diagnosis, prevention, and care by enabling an unobtrusive and either complementary or alternative assessment to self-reports. Furthermore, our results may advance our understanding of underlying psychophysiological changes in subclinical depression. Our study also provides further evidence regarding the efficacy of standalone digital health interventions to prevent depression. Trial regis…
The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens
Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents
Co-designing a mobile application to reduce self-stigma for people with opioid use disorder during pregnancy and the postpartum period
These results support the potential of digital interventions to reduce self-stigma and improve perinatal OUD recovery outcomes. The DDBT framework provides structure to understand lived experiences, adapt rapidly, and evaluate digital intervention efficacy
Just in Time or Just a Guess? Addressing Challenges in Validating Prediction Models Based on Longitudinal Data
A common goal of researchers using intensive longitudinal data is to develop models that predict emotions or behaviors, often using passively collected data from smartphone sensors or wearable devices. A frequent use case for such models is the development of just-in-time adaptive interventions (JITAIs). However, real-world effectiveness depends on rigorous evaluation. Previous research has highlighted challenges in selecting appropriate evaluati…
Associations between microaggressions, depression, anxiety, and alcohol use among Black young adults: Findings from a pilot study
Objective This pilot study, which was designed to inform mobile health intervention development, assessed the frequency of various microaggressions and explored associations among microaggressions, alcohol use, depression, and anxiety in Black young adults. Methods Ninety-two Black adults (mean age = 22.2 [SD = 1.9]) who regularly consume alcohol were recruited through social media to complete a survey on microaggressions, depression, anxiety, an…
Psychology (12 obras) · Psychiatry (9 obras) · Medicine (8 obras) · Clinical Psychology (6 obras) · Clinical Psychology (6 obras) · Mental Health Research Topics (6 obras) · Digital Mental Health Interventions (5 obras) · Anxiety (4 obras) · Computer Science (4 obras) · Developmental psychology (4 obras)