Adaptive and maladaptive emotions in patients with cancer: A network perspective

Background Receiving a cancer diagnosis frequently evokes a wide range of emotions. Emotions may help to cope with cancer: these are adaptive emotions. When emotions become disproportionate to the situation or interfere with functioning, emotions are maladaptive. According to the network theory of mental disorders, symptoms are reciprocally associated with each other; if there are strong connections between symptoms, the symptom network remains activated. A strongly connected network indicates maladaptive emotions. Objective To examine whether patients with cancer with maladaptive emotions are characterized by stronger associations among emotional (and among emotional and cancer-treatment-related) symptoms as compared to patients with adaptive emotions. Methods Patients with cancer (n = 132) completed Ecological Momentary Assessments for 14 days, 5 times a day, 3–7 months after start of systemic treatment. Patients were categorized as having adaptive or maladaptive emotions, based on a reference standard (psychiatric diagnostic assessment or self-reported subjective need for professional mental healthcare). Multilevel Vector Autoregression models were built in R (mlVAR package), and associations among symptoms in networks were compared (mnet package). Results Patients with maladaptive emotions did not show stronger associations among symptoms than patients with adaptive emotions. This result of no statistically significant differences was consistently found for both emotional and cancer-treatment-related symptoms, both reference standards (psychiatric diagnostic assessment and subjective need for professional mental health care), and both contemporaneous and temporal networks (maximal edge differences ≤0.14). Conclusion Contrary to our hypothesis, associations among emotional symptoms and of emotional and cancer-treatment-related symptoms were not stronger in patients with maladaptive emotions, as compared to patients with adaptive emotions. This raises doubts about the validity of network theory as an explanation for maladaptive emotions in patients with cancer. Since network strength did not differentiate between adaptive and maladaptive emotions, clinical assessment should continue to be guided by symptom intensity, patient functioning, and the expressed need for mental health care.

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PLoS ONE
Published
2026-10-08
DOI
https://doi.org/10.1371/journal.pone.0341290
Primary Topic
Mental Health Research Topics
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article
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article

Adaptive and maladaptive emotions in patients with cancer: A network perspective

Rutger Koornstra, Jan‐Willem B. de Groot, Evelien J. M. Kuip, Adriaan W. Hoogendoorn et al.
PLoS ONE
Mental Health Research Topics
article

Adaptive and maladaptive emotions in patients with cancer: A network perspective

Rutger Koornstra, Jan‐Willem B. de Groot, Evelien J. M. Kuip, Adriaan W. Hoogendoorn, Lia van Zuylen, Annemarie M. J. Braamse, Rune A. W. van de Wetering, Femke Lamers, Aartjan T.F. Beekman, Myra Ellen Van Linde, G. Elise Doppenberg-Smit, Joost Dekker, Henk M. W. Verheul
article en

Abstract

Background Receiving a cancer diagnosis frequently evokes a wide range of emotions. Emotions may help to cope with cancer: these are adaptive emotions. When emotions become disproportionate to the situation or interfere with functioning, emotions are maladaptive. According to the network theory of mental disorders, symptoms are reciprocally associated with each other; if there are strong connections between symptoms, the symptom network remains activated. A strongly connected network indicates maladaptive emotions. Objective To examine whether patients with cancer with maladaptive emotions are characterized by stronger associations among emotional (and among emotional and cancer-treatment-related) symptoms as compared to patients with adaptive emotions. Methods Patients with cancer (n = 132) completed Ecological Momentary Assessments for 14 days, 5 times a day, 3–7 months after start of systemic treatment. Patients were categorized as having adaptive or maladaptive emotions, based on a reference standard (psychiatric diagnostic assessment or self-reported subjective need for professional mental healthcare). Multilevel Vector Autoregression models were built in R (mlVAR package), and associations among symptoms in networks were compared (mnet package). Results Patients with maladaptive emotions did not show stronger associations among symptoms than patients with adaptive emotions. This result of no statistically significant differences was consistently found for both emotional and cancer-treatment-related symptoms, both reference standards (psychiatric diagnostic assessment and subjective need for professional mental health care), and both contemporaneous and temporal networks (maximal edge differences ≤0.14). Conclusion Contrary to our hypothesis, associations among emotional symptoms and of emotional and cancer-treatment-related symptoms were not stronger in patients with maladaptive emotions, as compared to patients with adaptive emotions. This raises doubts about the validity of network theory as an explanation for maladaptive emotions in patients with cancer. Since network strength did not differentiate between adaptive and maladaptive emotions, clinical assessment should continue to be guided by symptom intensity, patient functioning, and the expressed need for mental health care.

PLoS ONEVol. 21(10)
Erasmus MC (NL), Radboud University Medical Center (NL), Slingeland Ziekenhuis (NL), Amsterdam Public Health (NL), Isala (NL), Amsterdam University Medical Centers (NL), Rijnstate Hospital (NL), Cancer Center Amsterdam (NL), Vrije Universiteit Amsterdam (NL), University of Amsterdam (NL), Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 7%
Mental Health Research Topics
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