Katherine Durham
Biographic Data
| ID | 4229288 |
|---|---|
| NAME | Katherine Durham |
| GIVEN NAMES | Katherine |
| FAMILY NAME | Durham |
| SIGNATURE | DURHAM K |
| AFFILIATIONS | Department of Psychiatry Columbia University New York NY USA |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1976 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Smartphone language and resting‐state EEG indicators of self‐focused attention prospectively predict major depressive disorder risk in adolescents
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 …
Testing the interpersonal theory of suicide in adolescents
BACKGROUND: Suicide is a major public health crisis among youth. Several prominent theories, including the Interpersonal Theory of Suicide (IPTS), aim to characterize the factors leading from suicide ideation to action. These theories are largely based on findings in adults and require testing and elaboration in adolescents. METHODS: Data were examined from high-risk 13-18-year-old adolescents (N = 167) participating in a multi-wave, longitudinal…
Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication
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 collec…
Stability of Mental Health Attitudes
Research reviews conclude that popular mental health attitnldes are changing, generally yfor the better. InI this longitudinal study, two comparable sets oqfcollege students responded in 1962 (n =215) and in 1971 (n =319) to a semantic differential of eight concepts and tvwelve scales. (Contrary to expectations, attitudes were remarkablv similarfor the two samples: correlations ofconcept means ranged from .95 to .99, and scale means were almost i…
Stability of Mental Health Attitudes
Research reviews conclude that popular mental health attitnldes are changing, generally yfor the better. InI this longitudinal study, two comparable sets oqfcollege students responded in 1962 (n =215) and in 1971 (n =319) to a semantic differential of eight concepts and tvwelve scales. (Contrary to expectations, attitudes were remarkablv similarfor the two samples: correlations ofconcept means ranged from .95 to .99, and scale means were almost i…
Stability of Mental Health Attitudes
Research reviews conclude that popular mental health attitnldes are changing, generally yfor the better. InI this longitudinal study, two comparable sets oqfcollege students responded in 1962 (n =215) and in 1971 (n =319) to a semantic differential of eight concepts and tvwelve scales. (Contrary to expectations, attitudes were remarkablv similarfor the two samples: correlations ofconcept means ranged from .95 to .99, and scale means were almost i…
Testing the interpersonal theory of suicide in adolescents
BACKGROUND: Suicide is a major public health crisis among youth. Several prominent theories, including the Interpersonal Theory of Suicide (IPTS), aim to characterize the factors leading from suicide ideation to action. These theories are largely based on findings in adults and require testing and elaboration in adolescents. METHODS: Data were examined from high-risk 13-18-year-old adolescents (N = 167) participating in a multi-wave, longitudinal…
Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication
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 collec…
Smartphone language and resting‐state EEG indicators of self‐focused attention prospectively predict major depressive disorder risk in adolescents
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 …
Psychiatry (3 works) · Psychology (3 works) · Social Psychology (3 works) · Clinical Psychology (2 works) · Computer Science (2 works) · Depression (economics) (2 works) · Digital Mental Health Interventions (2 works) · Impact of Technology on Adolescents (2 works) · Intervention (counseling) (2 works) · Machine learning (2 works)