Profiles

Robert Johansson Foto: Jalal Maleki

Robert Johansson

Associate Professor

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Works at Department of Psychology
Telephone 08-16 36 85
Email robert.johansson@psychology.su.se
Visiting address Frescati hagväg 8
Room B409
Postal address Psykologiska institutionen 106 91 Stockholm

Publications

A selection from Stockholm University publication database
  • 2019. Tomas Nygren (et al.). Journal of Clinical Psychology 75 (6), 985-998

    Objective: Kurdish immigrants in Sweden have a doubled risk of mental health problems, and refugee and immigrant populations underutilize mental health services. The present study investigated the efficacy of culturally adapted guided internet-based cognitive behavior therapy (ICBT) for depressive symptoms in a Kurdish population.

    Method: We included 50 individuals who were randomized to either an 8-week treatment or a wait-list. The Beck Depression Inventory-II was the primary outcome measure, and measures of anxiety and insomnia were secondary outcomes.

    Results: Depressive symptoms were significantly reduced (intention-to-treat analysis) in the treatment group, with a between-group effect size at posttreatment of Cohen's d = 1.27. Moderate to large between-group effects were also observed on all secondary outcome measures. Treatment effects were sustained at 11-month follow-up.

    Conclusion: The results provide preliminary support for culturally adapted ICBT as a complement to other treatment formats for treating symptoms of depression in a Kurdish population.

  • 2019. Martin Kraepelien (et al.). Clinical Psychology and Psychotherapy 26 (3), 298-308

    The objective of this study was to explore the effects of treatment compliance in a guided individually tailored internet-based treatment (TAIL) in relation to depression and co-morbid symptoms. Compliance with the homework in the different treatment components in TAIL, each aimed at a specific condition, was rated for 207 participants by independent assessors. Six subgroups (n = 34-131) were constructed consisting of participants with co-occurring symptoms of worry, panic, social anxiety, stress, insomnia, or pain. For each group, hierarchical regression was used to investigate whether the total sum of compliance points, Overall Compliance, predicted reductions in depression and in condition-specific symptoms. Also, in each subgroup, it was tested whether working with specific treatment components, Specific Compliance, predicted reduction of the targeted symptoms. Overall Compliance predicted 15% of the reduction in depression symptoms. For participants with worry, panic, social anxiety, stress, or insomnia, Overall Compliance also predicted symptom reductions in that specific condition. Specific Compliance predicted reduction in the targeted symptoms for participants with social anxiety, stress, and insomnia. Specific Compliance with stress and insomnia components also predicted reductions in depression. Our results strengthen the importance of compliance in internet-based treatments. Because compliance with stress and insomnia components was particularly important for broad symptom reductions, these conditions should not be ignored when treating patients with co-morbid symptoms.

  • 2018. Martin Kraepelien (et al.). BJPsych Open 4 (4), 282-284

    Disorder-specific internet-based cognitive-behavioural therapy (ICBT) is effective for depression, panic disorder and social anxiety. In this benchmarking study, a new, individually tailored, ICBT programme (TAIL) showed effects on depression (n = 284, d = 1.33) that were non-inferior to disorder-specific ICBT for depression in routine care (n = 2358, d = 1.35). However, the hypotheses that TAIL for individuals with social anxiety or panic disorder is inferior to disorder-specific ICBT could not be rejected (social anxiety: TAIL d = 0.74 versus disorder-specific d = 0.81; panic: TAIL d = 1.11 versus disorder-specific d = 1.47). Our findings strengthen the empirical base for TAIL as an alternative to disorder-specific ICBT for depression.

  • 2018. Robert Johansson, Jonas Ramnerö, Arne Jönsson. Proceedings of the 14th SweCog Conference, 7-9

    In the research tradition called “contextual behavioral science” (Zettle, Hayes, & Barnes-Holmes, 2016) it is argued that a large part of cognitive phenomena are made possible due to a type of operant behavior known as “arbitrarily applicable relational responding”. Relational Frame Theory (RFT; Hayes, Barnes-Holmes, & Roche, 2001; Roche & Dymond, 2013) is a contextual behavioral account of language and cognition. RFT aims to develop a unified account of language and cognition and have been showed to account for as diverse topics as language development, the emergence of a self, human suffering, intelligence, problem solving, etc. The fundamental thesis of RFT is that language and cognition are all instances of arbitrarily applicable relational responding (AARR). According to this perspective, relating means responding to one event in terms of another. While both non-humans and humans are able to respond relationally, only humans seem to able to do this arbitrarily. For example, a human being can be presented with three similar coins and being told that “coin A is worth less than coin B, which in turn is worth less than coin C”. The fact that a human being in some context would immediately pick coin A, is to RFT an example of AARR in which stimuli are arbitrarily related along a comparative dimension of worth.

    NARS (Non-Axiomatic Reasoning System; Wang, 2006, 2013) is a project aiming to building a general purpose intelligent system. An assumption in NARS is that the essence of intelligence is the principle of adapting to the environment while working with insufficient knowledge and resources. Accordingly, an intelligent system should rely on finite processing capacity, work in real time, be open to unexpected tasks, and learn from experience. NARS is built as a reasoning system, using a formal specification “non-axiomatic logic” (NAL) to define its functionality. NAL is designed incrementally with multiple layers. At each layer, NAL and its internal language Narsese are extended to have a higher expressive power, a richer semantics, and a larger set of inference rules, so as to increase the intelligence of the system. The reasoning process in NARS uniformly carries out many cognitive functions that are traditionally studied as separate processes with different mechanisms, such as learning, perceiving, planning, predicting, remembering, problem solving, decision making, etc.

    The primary aim of this work is to investigate if NARS can do AARR with gradually increasing complexity, and under which conditions this is made possible. Potential applications are for example describing and exploring mental health phenomena within an artificial general intelligence framework.

Show all publications by Robert Johansson at Stockholm University

Last updated: September 2, 2019

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