What is he best known for?
The fields of study he is best known for:
- Major depressive disorder
- Psychiatry
- Anxiety
His primary scientific interests are in Clinical psychology, Injury prevention, Suicide prevention, Human factors and ergonomics and Psychiatry.
Jeremy W. Pettit is involved in the study of Clinical psychology that focuses on Self report in particular.
Many of his research projects under Suicide prevention are closely connected to Occupational safety and health with Occupational safety and health, tying the diverse disciplines of science together.
Jeremy W. Pettit has included themes like Young adult and Psychometrics in his Psychiatry study.
His Young adult research integrates issues from Major depressive disorder and Depression.
His research in Developmental psychology intersects with topics in Social support, Personality and Anxiety.
His most cited work include:
- Perceived Burdensomeness And Suicidality: Two Studies On The Suicide Notes Of Those Attempting And Those Completing Suicide (188 citations)
- Measuring hedonic capacity in depression: a psychometric analysis of three anhedonia scales. (177 citations)
- The role of acculturative stress and body dissatisfaction in predicting bulimic symptomatology across ethnic groups. (176 citations)
What are the main themes of his work throughout his whole career to date?
Clinical psychology, Psychiatry, Anxiety, Depression and Suicide prevention are his primary areas of study.
Jeremy W. Pettit connects Clinical psychology with Suicidal ideation in his research.
His Psychiatry research includes elements of Young adult and Psychometrics.
Jeremy W. Pettit combines subjects such as Attentional control and Cognition with his study of Anxiety.
His specific area of interest is Depression, where he studies Depressive symptoms.
Jeremy W. Pettit usually deals with Suicide prevention and limits it to topics linked to Injury prevention and Human factors and ergonomics.
He most often published in these fields:
- Clinical psychology (55.24%)
- Psychiatry (40.56%)
- Anxiety (28.67%)
What were the highlights of his more recent work (between 2018-2021)?
- Anxiety (28.67%)
- Clinical psychology (55.24%)
- Attentional bias (5.59%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Anxiety, Clinical psychology, Attentional bias, Developmental psychology and Attentional control.
His Anxiety research covers fields of interest such as Human factors and ergonomics and Injury prevention.
His Clinical psychology study incorporates themes from Association and Moderation.
His Attentional bias research is multidisciplinary, relying on both Symptom reduction and Mouse button.
His research on Developmental psychology often connects related areas such as Perception.
His Mediation research integrates issues from Childhood anxiety, Cognitive behavioral therapy, Depression and Attention deficit hyperactivity disorder.
Between 2018 and 2021, his most popular works were:
- Pilot Randomized Controlled Trial of LEAP: A Selective Preventive Intervention to Reduce Adolescents' Perceived Burdensomeness. (32 citations)
- Perceived neighborhood social cohesion moderates the relationship between neighborhood structural disadvantage and adolescent depressive symptoms. (13 citations)
- A Randomized Controlled Trial of Attention Bias Modification Treatment in Youth With Treatment-Resistant Anxiety Disorders. (11 citations)
In his most recent research, the most cited papers focused on:
- Major depressive disorder
- Anxiety
- Social psychology
Jeremy W. Pettit mainly focuses on Clinical psychology, Anxiety, Developmental psychology, Perception and Mixed methods analysis.
His research in Clinical psychology is mostly concerned with Mediation.
His work on Anxiety disorder as part of general Anxiety study is frequently linked to Augment, Human factors and ergonomics and Injury prevention, therefore connecting diverse disciplines of science.
His Developmental psychology study incorporates themes from Psychological intervention, Valence, Event-related potential, Electroencephalography and Audiology.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
