ArticleClinical psychology & psychotherapy2020
Can linguistic analysis be used to identify whether adolescents with a chronic illness are depressed?
Article in Clinical psychology & psychotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025Pooled it
- Comparison of cognitive behaviour therapy versus activity management, both delivered remotely, to treat paediatric chronic fatigue syndrome/myalgic encephalomyelitis: the UK FITNET-NHS RCT.Health technology assessment (Winchester, England) · 2024Trial
- Word usage in spontaneous speech as a predictor of depressive symptoms among youth at high risk for mood disorders.Journal of affective disorders · 2023Trial
- Language use in depressed and non-depressed mothers and their adolescent offspring.Journal of affective disorders · 2024Article
- Language Use in Mother-Adolescent Dyadic Interaction: Preliminary Results.International Conference on Affective Computing and Intelligent Interaction and workshops : [proceedings]. ACII (Conference) · 2022Article
- Linguistic features and psychological states: A machine-learning based approach.Frontiers in psychology · 2022Article
- Linguistic Features and Psychological States: The Case of Virginia Woolf.Frontiers in psychology · 2022Article
- Suitability of Text-Based Communications for the Delivery of Psychological Therapeutic Services to Rural and Remote Communities: Scoping Review.JMIR mental health · 2021Article
- Does Usage of Online Social Media Help Users With Depressed Symptoms Improve Their Mental Health? Empirical Evidence From an Online Depression Community.Frontiers in public health · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Comorbid depression is common in adolescents with chronic illness. We aimed to design and test a linguistic coding scheme for identifying depression in adolescents with chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME), by exploring features of e-consultations within online cognitive behavioural therapy treatment. E-consultations of 16 adolescents (aged 11-17) receiving FITNET-NHS (Fatigue in teenagers on the interNET in the National Health Service) treatment in a national randomized controlled trial were examined. A theoretically driven linguistic coding scheme was developed and used to categorize comorbid depression in e-consultations using computerized content analysis. Linguistic coding scheme categorization was subsequently compared with classification of depression using the Revised Children's Anxiety and Depression Scale published cut-offs (t-scores ≥65, ≥70). Extra linguistic elements identified deductively and inductively were compared with self-reported depressive symptoms after unblinding. The linguistic coding scheme categorized three (19%) of our sample consistently with self-report assessment. Of all 12 identified linguistic features, differences in language use by categorization of self-report assessment were found for "past focus" words (mean rank frequencies: 1.50 for no depression, 5.50 for possible depression, and 10.70 for probable depression; p < .05) and "discrepancy" words (mean rank frequencies: 16.00 for no depression, 11.20 for possible depression, and 6.40 for probable depression; p < .05). The linguistic coding profile developed as a potential tool to support clinicians in identifying comorbid depression in e-consultations showed poor value in this sample of adolescents with CFS/ME. Some promising linguistic features were identified, warranting further research with larger samples.
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