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van Hal R, Geurts D, van Eijndhoven P, Kist J, Collard RM, Tendolkar I, Vrijsen JN. A transdiagnostic view on MDD and ADHD: shared cognitive characteristics? J Psychiatr Res 2023; 165:315-324. [PMID: 37556964 DOI: 10.1016/j.jpsychires.2023.07.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 06/23/2023] [Accepted: 07/20/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND Major Depressive disorder (MDD) and Attention Deficit Hyperactivity Disorder (ADHD) are prevalent mental disorders that often co-occur. There is overlap in symptomatology between MDD and ADHD that complicates diagnostics and treatment selection. Hence, to aid diagnostics of single and comorbid disorders, we aimed to examine the discriminative power of common symptom measures and cognitive dysfunction to differentiate between participants diagnosed with MDD, ADHD, ADHD and comorbid MDD and without a mental disorder. METHODS Four diagnosed groups were compared: MDD (n = 103), ADHD (n = 78), comorbid MDD + ADHD (n = 29), healthy controls (HC; n = 123). We examined between-group differences and discriminative functions of clinically validated self-report symptom questionnaires, as well as task-based and self-report measures of cognitive dysfunction. RESULTS Based on the between group comparisons, all patient groups were characterized by clinically relevant levels of ADHD-symptomatology, executive dysfunction, and diminished cognitive performances in the domain of attention; even the MDD-only group. In addition, based on self-reported symptoms of MDD, ADHD, and executive dysfunction, discriminant function analysis classified all HC correctly (100%) and patients diagnosed with ADHD or MDD relatively well (resp. 85% and 82%). Comorbid MDD + ADHD was poorly differentiated from single MDD or ADHD by the commonly used self-report symptom questionnaires for MDD and ADHD (0% correct predictions), which substantially improved by incorporating the questionnaire on executive functioning (42% correct predictions). CONCLUSIONS In both MDD and ADHD, clinical levels of attentional and executive dysfunction were found, while these clinical groups differed in cognitive flexibility, initiating, inhibition and meta-cognition. Comorbid MDD + ADHD was poorly distinguishable from non-comorbid MDD and ADHD based on self-reported symptoms of depression and ADHD. Addition of subjective executive function in the discrimination models resulted in increased discriminative power. Our findings indicate that executive functioning measure can improve the diagnostic process of ADHD and MDD.
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Affiliation(s)
- Rianne van Hal
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, the Netherlands.
| | - Dirk Geurts
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, the Netherlands; Donders Institute, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Philip van Eijndhoven
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, the Netherlands; Donders Institute, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Joosje Kist
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, the Netherlands; Donders Institute, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rose M Collard
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, the Netherlands
| | - Indira Tendolkar
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, the Netherlands; Donders Institute, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Janna N Vrijsen
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, the Netherlands; Donders Institute, Radboud University Medical Center, Nijmegen, the Netherlands; Pro Persona Mental Health Care, Depression Expertise Center, Nijmegen, the Netherlands
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2
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van Steen M, Zoet M, Hendriks GJ, Rhebergen D, Lugtenburg A, Lammers M, van den Brink R, Marijnissen R, Voshaar RO, Collard RM, Naarding P. Association Between Personality Traits and Functional Limitations in Older Adults with Affective Disorders: A Cross Sectional Study. Clin Gerontol 2023:1-12. [PMID: 37515583 DOI: 10.1080/07317115.2023.2240317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/31/2023]
Abstract
OBJECTIVES Personality traits and affective disorders are both related to functional limitations. It is unknown whether personality traits have an additional effect on functioning in older adults with affective disorders. We studied the association between personality traits and functioning within this group. METHODS We performed a cross-sectional study of 180 older patients referred to outpatient specialized geriatric mental health care centers with a depressive, anxiety and/or somatic symptom disorder according to DSM-criteria. We studied the association between the Big Five personality traits and functional limitations assessed with the WHO-DAS II, adjusting for potential confounders, including the severity of various affective disorders. RESULTS The 180 patients (57.1% female, mean age 69.2 years) had an average WHO-DAS II score of 31.3 (SD 15.1). Lower scores on Conscientiousness were associated with more overall functional limitations (p = .001), particularly limitations in self-care (p = .001) and household activities (p = .001). Lower Extraversion scores were associated with more limitations in getting along with others (p = .001). CONCLUSIONS Personality traits are related to functional limitations independent of the severity of affective disorders in older adults. CLINICAL IMPLICATIONS Personality traits may be used as predictive factors for functioning in older adults with affective disorders.
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Affiliation(s)
- Manon van Steen
- GGNet Old age, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Monique Zoet
- GGNet Mental Health, Division of Old Age Psychiatry, Warnsveld & Apeldoorn, The Netherlands
| | - Gert Jan Hendriks
- Behavioural Science Institute, Radboud University & Pro Persona Institute for Integrated Mental Health Care, Nijmegen, The Netherlands
| | - Didi Rhebergen
- Mental Health Center GGZ Centraal, Ermelo, Netherlands
- The Department of Psychiatry Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | | | | | - Rob van den Brink
- Rob Giel Research Center (RGOc), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Radboud Marijnissen
- Rob Giel Research Center (RGOc), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Richard Oude Voshaar
- Rob Giel Research Center (RGOc), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul Naarding
- GGNet Mental Health, Division of Old Age Psychiatry, Warnsveld & Apeldoorn, The Netherlands
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3
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van Oort J, Llera A, Kohn N, Mei T, Collard RM, Duyser FA, Vrijsen JN, Beckmann CF, Schene AH, Fernández G, Tendolkar I, van Eijndhoven PFP. Brain structure and function link to variation in biobehavioral dimensions across the psychopathological continuum. eLife 2023; 12:e85006. [PMID: 37334965 PMCID: PMC10519708 DOI: 10.7554/elife.85006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 06/16/2023] [Indexed: 06/21/2023] Open
Abstract
In line with the Research Domain Criteria (RDoC) , we set out to investigate the brain basis of psychopathology within a transdiagnostic, dimensional framework. We performed an integrative structural-functional linked independent component analysis to study the relationship between brain measures and a broad set of biobehavioral measures in a sample (n = 295) with both mentally healthy participants and patients with diverse non-psychotic psychiatric disorders (i.e. mood, anxiety, addiction, and neurodevelopmental disorders). To get a more complete understanding of the underlying brain mechanisms, we used gray and white matter measures for brain structure and both resting-state and stress scans for brain function. The results emphasize the importance of the executive control network (ECN) during the functional scans for the understanding of transdiagnostic symptom dimensions. The connectivity between the ECN and the frontoparietal network in the aftermath of stress was correlated with symptom dimensions across both the cognitive and negative valence domains, and also with various other health-related biological and behavioral measures. Finally, we identified a multimodal component that was specifically associated with the diagnosis of autism spectrum disorder (ASD). The involvement of the default mode network, precentral gyrus, and thalamus across the different modalities of this component may reflect the broad functional domains that may be affected in ASD, like theory of mind, motor problems, and sensitivity to sensory stimuli, respectively. Taken together, the findings from our extensive, exploratory analyses emphasize the importance of a dimensional and more integrative approach for getting a better understanding of the brain basis of psychopathology.
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Affiliation(s)
- Jasper van Oort
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Alberto Llera
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
| | - Nils Kohn
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
| | - Ting Mei
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Fleur A Duyser
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Janna N Vrijsen
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Pro Persona Mental Health Care, Depression Expertise CenterNijmegenNetherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
- Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of OxfordOxfordUnited Kingdom
| | - Aart H Schene
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Guillén Fernández
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
| | - Indira Tendolkar
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Philip FP van Eijndhoven
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
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4
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Kist JD, Vrijsen JN, Mulders PCR, van Eijndhoven PFP, Tendolkar I, Collard RM. Transdiagnostic psychiatry: Symptom profiles and their direct and indirect relationship with well-being. J Psychiatr Res 2023; 161:218-227. [PMID: 36940627 DOI: 10.1016/j.jpsychires.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 02/02/2023] [Accepted: 03/02/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Heterogeneity and comorbidity in psychiatric disorders are common, however, little is known about the impact on well-being and the role of functional limitations. We aimed to identify transdiagnostic psychiatric symptom profiles and to study their association with well-being and the mediating role of functional limitations in a naturalistic psychiatric patient group. METHODS We used four disorder-specific questionnaires to assess symptom severity within a sample of 448 psychiatric patients with stress-related and/or neurodevelopmental disorders and 101 healthy controls. Using both exploratory and confirmatory factor analyses we identified transdiagnostic symptom profiles, which we entered into a linear regression analysis to assess their association with well-being and the mediating role of functional limitations in this association. RESULTS We identified eight transdiagnostic symptom profiles, covering mood, self-image, anxiety, agitation, empathy, non-social interest, hyperactivity and cognitive focus. Mood and self-image showed the strongest association with well-being in both patients and controls, while self-image also showed the highest transdiagnostic value. Functional limitations were significantly associated with well-being and fully mediated the relationship between cognitive focus and well-being. LIMITATIONS The participant sample consisted of a naturalistic group of out-patients. While this strengthens the ecological validity and transdiagnostic perspective of this study, the patients with a single neurodevelopmental disorder were underrepresented. CONCLUSION Transdiagnostic symptom profiles are valuable in understanding what reduces well-being in psychiatric populations, thereby opening new avenues for functionally meaningful interventions.
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Affiliation(s)
- J D Kist
- Radboudumc, Department of Psychiatry, Nijmegen, 6525, GA, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, 6525, EN, the Netherlands.
| | - J N Vrijsen
- Radboudumc, Department of Psychiatry, Nijmegen, 6525, GA, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, 6525, EN, the Netherlands; Pro Persona Mental Health Care, Depression Expertise Centre, Nijmegen, 6525, DX, the Netherlands
| | - P C R Mulders
- Radboudumc, Department of Psychiatry, Nijmegen, 6525, GA, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, 6525, EN, the Netherlands
| | - P F P van Eijndhoven
- Radboudumc, Department of Psychiatry, Nijmegen, 6525, GA, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, 6525, EN, the Netherlands
| | - I Tendolkar
- Radboudumc, Department of Psychiatry, Nijmegen, 6525, GA, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, 6525, EN, the Netherlands
| | - R M Collard
- Radboudumc, Department of Psychiatry, Nijmegen, 6525, GA, the Netherlands
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5
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Mulders PCR, van Eijndhoven PFP, van Oort J, Oldehinkel M, Duyser FA, Kist JD, Collard RM, Vrijsen JN, Haak KV, Beckmann CF, Tendolkar I, Marquand AF. Striatal connectopic maps link to functional domains across psychiatric disorders. Transl Psychiatry 2022; 12:513. [PMID: 36513630 PMCID: PMC9747785 DOI: 10.1038/s41398-022-02273-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 12/15/2022] Open
Abstract
Transdiagnostic approaches to psychiatry have significant potential in overcoming the limitations of conventional diagnostic paradigms. However, while frameworks such as the Research Domain Criteria have garnered significant enthusiasm among researchers and clinicians from a theoretical angle, examples of how such an approach might translate in practice to understand the biological mechanisms underlying complex patterns of behaviors in realistic and heterogeneous populations have been sparse. In a richly phenotyped clinical sample (n = 186) specifically designed to capture the complex nature of heterogeneity and comorbidity within- and between stress- and neurodevelopmental disorders, we use exploratory factor analysis on a wide range of clinical questionnaires to identify four stable functional domains that transcend diagnosis and relate to negative valence, cognition, social functioning and inhibition/arousal before replicating them in an independent dataset (n = 188). We then use connectopic mapping to map inter-individual variation in fine-grained topographical organization of functional connectivity in the striatum-a central hub in motor, cognitive, affective and reward-related brain circuits-and use multivariate machine learning (canonical correlation analysis) to show that these individualized topographic representations predict transdiagnostic functional domains out of sample (r = 0.20, p = 0.026). We propose that investigating psychiatric symptoms across disorders is a promising path to linking them to underlying biology, and can help bridge the gap between neuroscience and clinical psychiatry.
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Affiliation(s)
- Peter C. R. Mulders
- grid.10417.330000 0004 0444 9382Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Philip F. P. van Eijndhoven
- grid.10417.330000 0004 0444 9382Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Jasper van Oort
- grid.10417.330000 0004 0444 9382Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Marianne Oldehinkel
- grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands ,grid.10417.330000 0004 0444 9382Department of Cognitive Neuroscience, Radboud university medical center Nijmegen, Nijmegen, The Netherlands
| | - Fleur A. Duyser
- grid.10417.330000 0004 0444 9382Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
| | - Josina D. Kist
- grid.10417.330000 0004 0444 9382Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Rose M. Collard
- grid.10417.330000 0004 0444 9382Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
| | - Janna N. Vrijsen
- grid.10417.330000 0004 0444 9382Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands ,grid.491369.00000 0004 0466 1666Depression Expertise Centre, Pro Persona Mental Health Care, Nijmegen, The Netherlands
| | - Koen V. Haak
- grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Christian F. Beckmann
- grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands ,grid.4991.50000 0004 1936 8948Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Indira Tendolkar
- grid.10417.330000 0004 0444 9382Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Andre F. Marquand
- grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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6
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Schuthof CC, Tendolkar I, Bergman MA, Klok M, Collard RM, van Eijndhoven PFP, Schene AH, Vrijsen JN. Depressive Symptoms Account for Loss of Positive Attention Bias in ADHD Patients: An Eye-Tracking Study. J Atten Disord 2022; 26:1325-1334. [PMID: 34963365 DOI: 10.1177/10870547211063640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Depression and ADHD often co-occur and are both characterized by altered attentional processing. Differences and overlap in the profile of attention to emotional information may help explain the co-occurence. We examined negative attention bias in ADHD as neurocognitive marker for comorbid depression. METHODS Patients with depression (n = 63), ADHD (n = 43), ADHD and depression (n = 25), and non-psychiatric controls (n = 68) were compared on attention allocation toward emotional faces. The following eye-tracking indices were used: gaze duration, number of revisits, and location and duration of first fixation. RESULTS Controls revisited the happy faces more than the other facial expressions. Both the depression and the comorbid group showed significantly less revisits of the happy faces compared to the ADHD and the control group. Interestingly, after controlling for depressive symptoms, the groups no longer differed on the number of revisits. CONCLUSION ADHD patients show a relative positive attention bias, while negative attention bias in ADHD likely indicates (sub)clinical comorbid depression.
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Affiliation(s)
- Cassandra C Schuthof
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Indira Tendolkar
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Maria Annemiek Bergman
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Margit Klok
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Philip F P van Eijndhoven
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Aart H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Janna N Vrijsen
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.,Depression Expertise Center, Pro Persona Mental Health Care, Nijmegen, The Netherlands
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7
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Wassink-Vossen S, Oude Voshaar RC, Naarding P, Collard RM. Effectiveness of late-life depression interventions on functional limitations: A systematic review. Int J Ment Health Nurs 2022; 31:823-842. [PMID: 35142015 PMCID: PMC9302653 DOI: 10.1111/inm.12982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 01/12/2022] [Accepted: 01/21/2022] [Indexed: 12/04/2022]
Abstract
Depression is one of the most prevalent mental disorders in older adults and leads to considerable decreases in health, well-being, and impaired functioning. Intervention studies have focused on the effects on symptomatic recovery, and most do not include functional recovery as an outcome. Reduction of functional limitations as a treatment goal in old-age psychiatry aligns with the values of older persons. The objective of this review was therefore to evaluate the effectiveness of late-life depression interventions on functional limitations. This systematic review identified 15 randomized controlled trials in which the effectiveness of different interventions on functional limitations was evaluated in patients with late-life depression. The interventions were categorized into four categories: psychological interventions, drug treatment, physical exercise, and collaborative care. Multicomponent and collaborative-care interventions appear to be the most promising for improvement of functional limitations, particularly in primary care and community-dwelling populations of older persons with symptoms of depression. There is, however, a lack of evidence regarding studies in specialized mental health care.
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Affiliation(s)
| | - Richard C Oude Voshaar
- University Medical Center Groningen, University Center for Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Paul Naarding
- Department of Old-age Psychiatry, GGNet, Apeldoorn/Zutphen, the Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands
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8
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Duyser FA, Vrijsen JN, van Oort J, Collard RM, Schene AH, Tendolkar I, van Eijndhoven PF. Amygdala sensitivity for negative information as a neural marker for negative memory bias across psychiatric diagnoses. Psychiatry Res Neuroimaging 2022; 323:111481. [PMID: 35500466 DOI: 10.1016/j.pscychresns.2022.111481] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/14/2022] [Accepted: 04/10/2022] [Indexed: 11/19/2022]
Abstract
Self-referent negative memory bias is a known risk factor for depression, but recent evidence suggests its function as a transdiagnostic cognitive depressotypic marker. The amygdala's sensitivity for negative information is considered a neurobiological depressotypic marker. However, their relationship remains unknown. We transdiagnostically investigated the association between the amygdala's sensitivity, self-referent negative memory bias and its two components: negative endorsement bias and negative recall bias. Patients (n= 125) with (multimorbid) stress-related and neurodevelopmental psychiatric disorders and healthy controls (n= 78) performed an fMRI task to assess the amygdala's sensitivity for negative information and a task outside the scanner for the biases. Linear regression models assessed their associations. The left amygdala's sensitivity for negative information was significantly positively associated with negative recall bias in patients, but not controls. There were no significant associations with self-referent negative memory bias or negative endorsement bias or between the two depressotypic markers. Thus, the left amygdala's sensitivity for negative information may be considered a neural marker of negative memory bias across psychiatric diagnoses. Further research on the interactons with known determinants such as genetic predisposition is required to fully understand the relationship between the amygdala's sensitivity for negative information and these biases.
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Affiliation(s)
- Fleur A Duyser
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands.
| | - Janna N Vrijsen
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands; Pro Persona Mental Health Care, Depression Expertise Centre, Nijmegen, The Netherlands
| | - Jasper van Oort
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Aart H Schene
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
| | - Indira Tendolkar
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands; Department of Psychiatry and Psychotherapy, University Hospital Essen, Germany
| | - Philip F van Eijndhoven
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
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9
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Brolsma SCA, Vrijsen JN, Vassena E, Rostami Kandroodi M, Bergman MA, van Eijndhoven PF, Collard RM, den Ouden HEM, Schene AH, Cools R. Challenging the negative learning bias hypothesis of depression: reversal learning in a naturalistic psychiatric sample. Psychol Med 2022; 52:303-313. [PMID: 32538342 PMCID: PMC8842187 DOI: 10.1017/s0033291720001956] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 04/29/2020] [Accepted: 05/21/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Classic theories posit that depression is driven by a negative learning bias. Most studies supporting this proposition used small and selected samples, excluding patients with comorbidities. However, comorbidity between psychiatric disorders occurs in up to 70% of the population. Therefore, the generalizability of the negative bias hypothesis to a naturalistic psychiatric sample as well as the specificity of the bias to depression, remain unclear. In the present study, we tested the negative learning bias hypothesis in a large naturalistic sample of psychiatric patients, including depression, anxiety, addiction, attention-deficit/hyperactivity disorder, and/or autism. First, we assessed whether the negative bias hypothesis of depression generalized to a heterogeneous (and hence more naturalistic) depression sample compared with controls. Second, we assessed whether negative bias extends to other psychiatric disorders. Third, we adopted a dimensional approach, by using symptom severity as a way to assess associations across the sample. METHODS We administered a probabilistic reversal learning task to 217 patients and 81 healthy controls. According to the negative bias hypothesis, participants with depression should exhibit enhanced learning and flexibility based on punishment v. reward. We combined analyses of traditional measures with more sensitive computational modeling. RESULTS In contrast to previous findings, this sample of depressed patients with psychiatric comorbidities did not show a negative learning bias. CONCLUSIONS These results speak against the generalizability of the negative learning bias hypothesis to depressed patients with comorbidities. This study highlights the importance of investigating unselected samples of psychiatric patients, which represent the vast majority of the psychiatric population.
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Affiliation(s)
- Sophie C. A. Brolsma
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Janna N. Vrijsen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Depression Expertise Centre, Pro Persona Mental Health Care, Nijmegen, the Netherlands
| | - Eliana Vassena
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mojtaba Rostami Kandroodi
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
| | - M. Annemiek Bergman
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Philip F. van Eijndhoven
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rose M. Collard
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Hanneke E. M. den Ouden
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Aart H. Schene
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Roshan Cools
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
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10
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Appel JE, Vrijsen JN, Marchetti I, Becker ES, Collard RM, van Eijndhoven P, Schene AH, Tendolkar I. The Role of Perseverative Cognition for Both Mental and Somatic Disorders in a Naturalistic Psychiatric Patient Sample. Psychosom Med 2021; 83:1058-1066. [PMID: 34419995 DOI: 10.1097/psy.0000000000001003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Perseverative cognition (PC) is the repeated or long-term activation of the cognitive representation of psychological stressors and is associated with prolonged stress including somatic and mental consequences. Hence, PC might represent a cognitive process linking mental and somatic pathology, but current research on this link is limited by investigating healthy samples, markers of somatic disease, and single disorders. The present study explored the importance of PC for different mental and somatic disorders in psychiatric patients. METHODS Data from 260 naturalistic psychiatric outpatients were used. Psychiatric diagnoses were based on structured clinical interviews. Somatic diseases were assessed using a well-validated questionnaire and were clustered into (cardio)vascular and immune/endocrine diseases. PC was operationalized using the Perseverative Thinking Questionnaire (PTQ). RESULTS Multiple regression complemented with relative importance analyses showed that the PTQ total and subscale scores were associated with the presence of mood disorders, addiction, and anxiety. Unexpectedly, no relatively important associations were found between the PTQ and autism spectrum disorder, attention-deficit/hyperactivity disorder, or somatic disease. CONCLUSIONS Our data complement previous work linking PC to stress-related mental disorders but question its immediate role in neurodevelopmental and somatic disorders. Targeting PC in the treatment of mood disorders and perhaps also in addiction seems promising.
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Affiliation(s)
- Judith E Appel
- From the Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour (Appel, Vrijsen, Collard, van Eijndhoven, Schene, Tendolkar), Radboud University Medical Center; Behavioural Science Institute (Appel, Becker), Radboud University; Depression Expertise Centre (Vrijsen), Pro Persona Mental Health Care, Nijmegen, the Netherlands; Department of Life Sciences (Marchetti), Psychology Unit, University of Trieste, Trieste, Italy; and LVR-Klinikum Essen (Tendolkar), Department of Psychiatry and Psychotherapy, University Hospital Essen, Essen, Germany
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11
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Arts MHL, van den Berg KS, Marijnissen RM, de Jonge L, Hegeman AJM, Collard RM, Comijs HC, Aprahamian I, Naarding P, Oude Voshaar RC. Frailty as a Predictor of Mortality in Late-Life Depression: A Prospective Clinical Cohort Study. J Clin Psychiatry 2021; 82. [PMID: 34000109 DOI: 10.4088/jcp.20m13277] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE Frailty is a clinical phenotype that predicts negative health outcomes, including mortality, and is increasingly used for risk stratification in geriatric medicine. Similar to frailty, late-life depression is also associated with increased mortality rates. Therefore, we examined whether frailty and frailty-related biomarkers predict mortality among depressed older patients. METHODS In our study of 378 older patients aged ≥ 60 years with a depressive disorder (DSM-IV criteria), we examined whether frailty predicts time-to-death during a 6-year follow-up using Cox proportional hazard regression analyses adjusted for confounders. Baseline data were collected from 2007 to September 2010. Frailty was defined according to the Fried Frailty Phenotype criteria (muscle weakness, slowness, exhaustion, low activity level, unintended weight loss). Similarly, we examined the predictive value of 3 inflammatory markers, vitamin D level, and leukocyte telomere length and whether these effects were independent of the frailty phenotype. RESULTS During follow-up, 27 (26.2%) of 103 frail depressed patients died compared with 35 (12.7%) of 275 non-frail depressed patients (P < .001). Adjusted for confounders, the number of frailty components was associated with an increased mortality rate (hazard ratio = 1.38 [95% CI, 1.06-1.78], P = .015). All biomarkers except for interleukin 6 were prospectively associated with mortality, but only higher levels of high-sensitivity C-reactive protein and lower levels of vitamin D were independent of frailty associated with mortality. CONCLUSIONS In late-life depression, frailty identifies older patients at increased risk of adverse negative health outcomes. Therefore, among frail depressed patients, treatment models that include frailty-specific interventions might reduce mortality rates.
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Affiliation(s)
- Matheus H L Arts
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands.,Mental Health Center (GGZ) Westelijk Noord-Brabant, Department of Old Age Psychiatry, Halsteren, Netherlands.,Now with Tranzo, School of Social and Behavioural Sciences, Tilburg University, Tilburg, Netherlands.,Corresponding author: Matheus H. L. Arts, MD, MSc, GGZ Westelijk Noord-Brabant, Hoofdlaan 8, 4661 AA, Halsteren, The Netherlands
| | - Karen S van den Berg
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands.,St Antonius Hospital, Department of Psychiatry, Nieuwegein, Netherlands
| | - Radboud M Marijnissen
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands.,Mental Health Centre, Pro Persona, Department of Old Age Psychiatry, Wolfheze, Netherlands
| | - Linda de Jonge
- Mental Health Center (GGZ) Westelijk Noord-Brabant, Department of Old Age Psychiatry, Halsteren, Netherlands
| | | | - Rose M Collard
- University Medical Centre St Radboud, Department of Psychiatry, Nijmegen, Netherlands
| | - Hannie C Comijs
- VU University Medical Center/GGZinGeest, Department of Psychiatry/EMGO Institute for Health and Care Research, Amsterdam, Netherlands hDepartment and Institute of Psychiatry, Faculty
| | - Ivan Aprahamian
- Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Paul Naarding
- GGNet, Department of Old Age Psychiatry, Apeldoorn, Netherlands
| | - Richard C Oude Voshaar
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands
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12
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Bergman MA, Vrijsen JN, Rinck M, van Oostrom I, Kan CC, Collard RM, van Eijndhoven P, Vissers CTWM, Schene AH. Is a Negative Attentional Bias in Individuals with Autism Spectrum Disorder Explained by Comorbid Depression? An Eye-Tracking Study. J Autism Dev Disord 2021; 51:4213-4226. [PMID: 33491119 PMCID: PMC8510933 DOI: 10.1007/s10803-021-04880-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/08/2021] [Indexed: 12/12/2022]
Abstract
Heightened attention towards negative information is characteristic of depression. Evidence is emerging for a negative attentional bias in Autism spectrum disorder (ASD), perhaps driven by the high comorbidity between ASD and depression. We investigated whether ASD is characterised by a negative attentional bias and whether this can be explained by comorbid (sub) clinical depression. Participants (n = 116) with current (CD) or remitted depression (RD) and/or ASD, and 64 controls viewed positively and negatively valenced (non-)social pictures. Groups were compared on three components of visual attention using linear mixed models. Both CD individuals with and without ASD, but not remitted depressed and never-depressed ASD individuals showed a negative bias, suggesting that negative attentional bias might be a depressive state-specific marker for depression in ASD.
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Affiliation(s)
- M Annemiek Bergman
- Department of Psychiatry, Radboud University Medical Centre, Radboudumc, 9101, 6500 HB, Nijmegen, The Netherlands. .,Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands.
| | - Janna N Vrijsen
- Department of Psychiatry, Radboud University Medical Centre, Radboudumc, 9101, 6500 HB, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands.,Depression Expertise Center, Pro Persona Mental Health Care, Nijmegen, The Netherlands
| | - Mike Rinck
- Radboud University Nijmegen, Behavioural Science Institute, Nijmegen, The Netherlands
| | | | - Cornelis C Kan
- Department of Psychiatry, Radboud University Medical Centre, Radboudumc, 9101, 6500 HB, Nijmegen, The Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Centre, Radboudumc, 9101, 6500 HB, Nijmegen, The Netherlands
| | - Philip van Eijndhoven
- Department of Psychiatry, Radboud University Medical Centre, Radboudumc, 9101, 6500 HB, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands
| | - Constance Th W M Vissers
- Radboud University Nijmegen, Behavioural Science Institute, Nijmegen, The Netherlands.,Royal Dutch Kentalis, Kentalis Academy, Sint-Michielsgestel, The Netherlands
| | - Aart H Schene
- Department of Psychiatry, Radboud University Medical Centre, Radboudumc, 9101, 6500 HB, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands
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13
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Duyser FA, van Eijndhoven PFP, Bergman MA, Collard RM, Schene AH, Tendolkar I, Vrijsen JN. Negative memory bias as a transdiagnostic cognitive marker for depression symptom severity. J Affect Disord 2020; 274:1165-1172. [PMID: 32663947 DOI: 10.1016/j.jad.2020.05.156] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/04/2020] [Accepted: 05/16/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Negative memory bias is a strong risk factor for the development and maintenance of depression. Recent evidence also found negative memory bias in other mental disorders. Here, we aim to: 1) assess the presence and strength of negative memory bias in a range of (comorbid) mental disorders, 2) investigate which disorder-specific symptoms are associated with negative memory bias, and 3) test whether negative memory bias might be a transdiagnostic mechanism. METHODS Negative memory bias was measured in patients with at least one diagnosis of a stress-related disorder (n = 86), a neurodevelopmental disorder (n = 53), or both (n = 68), and 51 controls. Depression, anxiety, attention-deficit/hyperactivity disorder, and autism spectrum disorder symptom severity was assessed using questionnaires. Groups were compared on negative memory bias and the associations between negative memory bias and symptom severity were made using linear regression models. RESULTS All patient groups showed stronger negative memory bias than the controls. Negative memory bias was individually associated with all symptom severity indices, but when added into a single model, only the association with depressive symptom severity remained. This persisted after controlling for diagnostic group. LIMITATIONS Due to the cross-sectional sectional study design, we could only look at the associations between negative memory bias and disorder-specific symptoms and not at the direction of the effects. CONCLUSIONS Negative memory bias is characteristic of a depressotypic processing style and present in different mental disorders. It might play a mechanistic role in the development of (subclinical) co-occurrence between mental disorders.
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Affiliation(s)
- F A Duyser
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands.
| | - P F P van Eijndhoven
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
| | - M A Bergman
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
| | - R M Collard
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - A H Schene
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
| | - I Tendolkar
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands; Department of Psychiatry and Psychotherapy, University Hospital Essen, Germany
| | - J N Vrijsen
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands; Pro Persona Mental Health Care, Depression Expertise Centre, Nijmegen, The Netherlands
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14
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Brolsma SCA, Vassena E, Vrijsen JN, Sescousse G, Collard RM, van Eijndhoven PF, Schene AH, Cools R. Negative Learning Bias in Depression Revisited: Enhanced Neural Response to Surprising Reward Across Psychiatric Disorders. Biol Psychiatry Cogn Neurosci Neuroimaging 2020; 6:280-289. [PMID: 33082119 DOI: 10.1016/j.bpsc.2020.08.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 08/25/2020] [Accepted: 08/25/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Prior work has proposed that major depressive disorder (MDD) is associated with a specific cognitive bias: patients with depression seem to learn more from punishment than from reward. This learning bias has been associated with blunting of reward-related neural responses in the striatum. A key question is whether negative learning bias is also present in patients with MDD and comorbid disorders and whether this bias is specific to depression or shared across disorders. METHODS We employed a transdiagnostic approach assessing a heterogeneous group of (nonpsychotic) psychiatric patients from the MIND-Set (Measuring Integrated Novel Dimensions in Neurodevelopmental and Stress-Related Mental Disorders) cohort with and without MDD but also with anxiety, attention-deficit/hyperactivity disorder, and/or autism (n = 66) and healthy control subjects (n = 24). To investigate reward and punishment learning, we employed a deterministic reversal learning task with functional magnetic resonance imaging. RESULTS In contrast to previous studies, patients with MDD did not exhibit impaired reward learning or reduced reward-related neural activity anywhere in the brain. Interestingly, we observed consistently increased neural responses in the bilateral lateral prefrontal cortex of patients when they received a surprising reward. This increase was not specific to MDD, but generalized to anxiety, attention-deficit/hyperactivity disorder, and autism. Critically, increased prefrontal activity to surprising reward scaled with transdiagnostic symptom severity, particularly that associated with concentration and attention, as well as the number of diagnoses; patients with more comorbidities showed a stronger prefrontal response to surprising reward. CONCLUSIONS Prefrontal enhancement may reflect compensatory working memory recruitment, possibly to counteract the inability to swiftly update reward expectations. This neural mechanism may provide a candidate transdiagnostic index of psychiatric severity.
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Affiliation(s)
- Sophie C A Brolsma
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Eliana Vassena
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Experimental Psychopathology and Treatment, Behavioral Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Janna N Vrijsen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands; Depression Expertise Centre, Pro Persona Mental Health Care, Nijmegen, The Netherlands
| | - Guillaume Sescousse
- Centre de Recherche en Neurosciences de Lyon, Centre National de la Recherche Scientifique-Institut National de la Santé et de la Recherche Médicale, Lyon, France
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Phillip F van Eijndhoven
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Aart H Schene
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Roshan Cools
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
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15
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van den Berg KS, Arts MHL, Collard RM, van den Brink RHS, Comijs HC, Marijnissen RM, Oude Voshaar RC. Vitamin D deficiency and course of frailty in a depressed older population. Aging Ment Health 2020; 24:49-55. [PMID: 30430840 DOI: 10.1080/13607863.2018.1515885] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Objective: To study the association between vitamin D levels and frailty, its components and course in a depressed sample.Methods: Baseline and two-year follow-up data from the depressed sample of the Netherlands Study of Depression in Older persons (NESDO), a prospective observational cohort study, were analyzed. The 378 participants (aged 60-93) had a diagnosis of depression according to DSM-IV criteria. Frailty was defined according to Fried's physical phenotype. 25-OH vitamin D measurement was performed by liquid chromatography - tandem mass spectrometry. Linear and logistic regression analyses were performed, adjusted for covariates.Results: Higher vitamin D levels were cross-sectionally associated with lower prevalence of frailty (OR 0.64 [95%-CI 0.45 - 0.90], p = .010), predicted a lower incidence of frailty among non-frail depressed patients (OR 0.51 [95%-CI 0.26 - 1.00], p=.050), and, surprisingly, the persistence of frailty among frail depressed patients (OR 2.82 [95%-CI 1.23 - 6.49], p=.015).Conclusions: In a depressed population, higher vitamin D levels were associated with lower prevalence and incidence of frailty. Future studies should examine whether the favorable effect of low vitamin D levels on the course of frailty can be explained by confounding or whether unknown pathophysiological mechanisms may exert protective effects.
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Affiliation(s)
- Karen S van den Berg
- Department of Psychiatry, St. Antonius Hospital, Nieuwegein, The Netherlands.,University Centre of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Matheus H L Arts
- University Centre of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.,Department of Geriatric Psychiatry and Neuropsychiatry, Mental Health Care-West Northern Brabant (GGZ-WNB), Bergen op Zoom, the Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rob H S van den Brink
- University Centre of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Hannie C Comijs
- Department of Psychiatry, VU Medical Centre/GGZinGeest, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Radboud M Marijnissen
- University Centre of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.,Department of Old Age Psychiatry, Pro Persona, Renkum, The Netherlands
| | - Richard C Oude Voshaar
- University Centre of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
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16
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Wassink-Vossen S, Collard RM, Wardenaar KJ, Verhaak PF, Rhebergen D, Naarding P, Voshaar RCO. Trajectories and determinants of functional limitations in late-life
depression: A 2-year prospective cohort study. Eur Psychiatry 2020; 62:90-96. [DOI: 10.1016/j.eurpsy.2019.09.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 09/04/2019] [Accepted: 09/06/2019] [Indexed: 10/25/2022] Open
Abstract
Abstract
Background:
In mental health research, functional recovery is increasingly
valued as an important outcome in addition to symptomatic
remission.
Methods:
Course types of functional limitations among depressed older
patients and its relation with symptomatic remission were explored in a
naturalistic cohort study (Netherlands Study of Depression in Older
persons). 378 depressed older patients (≥60 years) and 132 non-depressed
persons were included. Depressive disorders were assessed with Composite
International Diagnostic Interview at baseline and two-year follow-up.
Functional limitations were assessed every 6 months with the World
Health Organization Disability Assessment II.
Results:
Depressed patients had more functional limitations compared to their
non-depressed counterparts. Growth Mixture Modeling among depressed
patients identified two trajectories of functional limitations, both
starting at a high disability level. The largest subgroup (81.2%) was
characterized by a course of high disability levels over time. The
smaller subgroup (18.8%) had an improving course (functional recovery).
After two years, the main predictor of functional recovery was the
remission of depression. Among symptomatic remitted patients, female
sex, higher level of education, higher gait speed, and less severe
depression were associated with no functional recovery. Non-remitted
patients without functional recovery were characterized by the presence
of more chronic somatic diseases, a lower sense of mastery, and a higher
level of anxiety.
Conclusions:
1 in 5 depressed older patients have a course with functional
recovery. Combining functional and symptomatic recovery points to a
subgroup of older patients that might profit from more rigorous
psychiatric treatment targeted at psychiatric comorbidity and a group of
frail depressed older patients that might profit from integrated
geriatric rehabilitation.
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Bergman MA, Vissers CTWM, Collard RM, van Eijndhoven P, Schene AH, Vrijsen JN. The Effect of Alexithymia on Attentional Bias Toward Emotional Stimuli in Depression: An Eye-Tracking Study. Front Psychiatry 2020; 11:569946. [PMID: 33679459 PMCID: PMC7925401 DOI: 10.3389/fpsyt.2020.569946] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 12/16/2020] [Indexed: 01/10/2023] Open
Abstract
Alexithymia-reflecting deficits in cognitive emotion processing-is highly prevalent in individuals with depressive disorders. Subsequently, mixed evidence for attentional bias is found in these individuals. Alexithymia may be a potential influencing factor for attentional bias in depression. In the current study, 83 currently depressed (CD) and 76 never-depressed (ND) controls completed an eye-tracker task consisting of valenced (non)-social pictures. Alexithymia scores were also included as a moderator as both a continuous and categorical measure (so high vs. low alexithymia). No group difference or moderating effect of alexithymia was found on attentional bias. Thus, alexithymic symptoms, included both dimensionally and categorically, may not influence biased attentional processing in depression compared to ND individuals. Thus, it is important to explore other potential explaining factors for the equivocal results found on biased attentional processing of emotional information in depression.
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Affiliation(s)
- M Annemiek Bergman
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, Netherlands.,Donders Institute for Brain, Cognition and Behavior, Donders Center for Medical Neuroscience, Nijmegen, Netherlands
| | - Constance Th W M Vissers
- Royal Dutch Kentalis, Kentalis Academy, Sint-Michielsgestel, Netherlands.,Radboud University Nijmegen, Behavioural Science Institute, Nijmegen, Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Philip van Eijndhoven
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, Netherlands.,Donders Institute for Brain, Cognition and Behavior, Donders Center for Medical Neuroscience, Nijmegen, Netherlands
| | - Aart H Schene
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, Netherlands.,Donders Institute for Brain, Cognition and Behavior, Donders Center for Medical Neuroscience, Nijmegen, Netherlands
| | - Janna N Vrijsen
- Department of Psychiatry, Radboud University Medical Centre, Nijmegen, Netherlands.,Donders Institute for Brain, Cognition and Behavior, Donders Center for Medical Neuroscience, Nijmegen, Netherlands.,Pro Persona Mental Health Care, Depression Expertise Center, Nijmegen, Netherlands
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Collard RM, Wassink-Vossen S, Schene AH, Naarding P, Verhaak P, Oude Voshaar RC, Comijs HC. Symptomatic and functional recovery in depression in later life. Soc Psychiatry Psychiatr Epidemiol 2018; 53:1071-1079. [PMID: 29923072 PMCID: PMC6182497 DOI: 10.1007/s00127-018-1540-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 05/28/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVES Functional limitations give an indication of the total impact of diseases, such as depression, on individuals health and recovery. This study examines the change in several domains of functioning over 2 years in older persons depressed at baseline (non-remitted group and remitted group after 2 years) and in a non-depressed comparison group. METHODS Data were used from a cohort study (Netherlands Study of Depression in Older persons [NESDO]) consisting of depressed older persons ≥ 60 years (N = 378) and a non-depressed comparison group (N = 132) with 2 years of follow-up (attrition rate 24%). Functional limitations (outcome) were assessed with the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) questionnaire every 6 months. Total scores and domain scores were used. Depression was classified according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria at baseline and at 2-year follow-up. Severity of depression (predictor) was assessed with the Inventory of Depressive Symptomatology (IDS) at 6-month intervals. RESULTS Linear mixed models showed that the level of functional limitations differed between the three groups during 2 years of follow-up. The non-remitted group had the highest level of functional limitations during 2 years, followed by the remitted group. Stable low levels of functional limitations were found for the non-depressed group. Remission from depression was accompanied by improvements in functioning, however, compared to the non-depressed comparison group significant functional limitations remained. Higher severity of depression appeared as risk factor for a declining course of functioning, especially the social aspects of functioning. METHODOLOGICAL CONSIDERATIONS Participants that were more severely depressed and more functionally impaired at baseline had higher attrition rates than the participants that were included in the analytical sample. CONCLUSION This study showed that depression in later life has long-term debilitating effects on functioning, enduring even after remission from depression. This implies that depression treatment in later life should aim broader than just symptomatic recovery, but also include functional recovery.
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Affiliation(s)
- Rose M Collard
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.
| | | | - Aart H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul Naarding
- Department of Old-age Psychiatry, GGNet, Apeldoorn, Zutphen, The Netherlands
| | - Peter Verhaak
- Department General Practice, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Netherlands Institute for Health Services Research, NIVEL, Utrecht, The Netherlands
| | - Richard C Oude Voshaar
- University Medical Center Groningen, University Center for Psychiatry, University of Groningen, Groningen, The Netherlands
| | - Hannie C Comijs
- GGZinGeest, Amsterdam, The Netherlands
- Department Psychiatry/Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
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Jeuring HW, Stek ML, Huisman M, Oude Voshaar RC, Naarding P, Collard RM, van der Mast RC, Kok RM, Beekman ATF, Comijs HC. A Six-Year Prospective Study of the Prognosis and Predictors in Patients With Late-Life Depression. Am J Geriatr Psychiatry 2018; 26:985-997. [PMID: 29910018 DOI: 10.1016/j.jagp.2018.05.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 04/20/2018] [Accepted: 05/12/2018] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To examine the six-year prognosis of patients with late-life depression and to identify prognostic factors of an unfavorable course. DESIGN AND SETTING The Netherlands Study of Depression in Older Persons (NESDO) is a multisite naturalistic prospective cohort study with six-year follow-up. PARTICIPANTS Three hundred seventy-eight clinically depressed patients (according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision criteria) and 132 nondepressed comparisons were included at baseline between 2007 and 2010. MEASUREMENTS Depression was measured by the Inventory of Depressive Symptomatology at 6-month intervals and a diagnostic interview at 2- and 6-year follow-up. Multinomial regression and mixed model analyses were both used to identify depression-related clinical, health, and psychosocial prognostic factors of an unfavorable course. RESULTS Among depressed patients at baseline, 46.8% were lost to follow-up; 15.9% had an unfavorable course, i.e., chronic or recurrent; 24.6% had partial remission; and 12.7% had full remission at six-year follow-up. The relative risk of mortality in depressed patients was 2.5 (95% confidence interval 1.26-4.81) versus nondepressed comparisons. An unfavorable course of depression was associated with a younger age at depression onset; higher symptom severity of depression, pain, and neuroticism; and loneliness at baseline. Additionally, partial remission was associated with chronic diseases and loneliness at baseline when compared with full remission. CONCLUSIONS The long-term prognosis of late-life depression is poor with regard to mortality and course of depression. Chronic diseases, loneliness, and pain may be used as putative targets for optimizing prevention and treatment strategies for relapse and chronicity.
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Affiliation(s)
- Hans W Jeuring
- Department of Psychiatry, GGZ in Geest, VU University Medical Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands.
| | - Max L Stek
- Department of Psychiatry, GGZ in Geest, VU University Medical Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Richard C Oude Voshaar
- University Center for Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - Paul Naarding
- GGNet, Department of Old Age Psychiatry, Apeldoorn, The Netherlands
| | - Rose M Collard
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, The Netherlands
| | - Roos C van der Mast
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Rob M Kok
- Parnassia Psychiatric Institute, Hague, The Netherlands
| | - Aartjan T F Beekman
- Department of Psychiatry, GGZ in Geest, VU University Medical Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Hannie C Comijs
- Department of Psychiatry, GGZ in Geest, VU University Medical Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
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Arts MHL, Collard RM, Comijs HC, de Jonge L, Penninx BWJH, Naarding P, Kok RM, Oude Voshaar RC. Leucocyte telomere length is no molecular marker of physical frailty in late-life depression. Exp Gerontol 2018; 111:229-234. [PMID: 30071286 DOI: 10.1016/j.exger.2018.07.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/13/2018] [Accepted: 07/26/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Although average life-expectancy is still increasing worldwide, ageing processes markedly differ between individuals, which has stimulated the search for biomarkers of biological ageing. OBJECTIVES Firstly, to explore the cross-sectional and longitudinal association between leucocyte telomere length (LTL) as molecular marker of ageing and the physical frailty phenotype (PFP) as a clinical marker of ageing and secondly, to examine whether these associations are moderated by the presence of a depressive disorder, as depression can be considered a condition of accelerated ageing. METHODS Among 378 depressed older patients (according to DSM-IV criteria) and 132 non-depressed older persons participating in the Netherlands Study of Depression in Older persons, we have assessed the physical frailty phenotype and LTL. The PFP was defined according to Fried's criteria and its components were reassessed at two-year follow-up. RESULTS LTL was neither associated with the PFP at baseline by Spearman rank correlation tests, nor did it predict change in frailty parameters over a two-year follow-up using regression analyses adjusted for potential confounders. CONCLUSION LTL is not associated with frailty; neither in non-depressed nor in depressed older persons. As LTL and physical frailty appear to represent different aspects of ageing, they may complement each other in future studies.
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Affiliation(s)
- Matheus H L Arts
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands; Mental Health Center Westelijk Noord-Brabant, Department of Old Age Psychiatry, Bergen op Zoom, Netherlands.
| | - Rose M Collard
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, Netherlands
| | - Hannie C Comijs
- GGZinGeest/VU University Medical Center, Department Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Linda de Jonge
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands
| | - Brenda W J H Penninx
- GGZinGeest/VU University Medical Center, Department Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Paul Naarding
- GGNet, Department of Old Age Psychiatry, Apeldoorn, Netherlands
| | - Rob M Kok
- Parnassia Psychiatric Institute, Department of Old Age Psychiatry, Den Haag, Netherlands
| | - Richard C Oude Voshaar
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands
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Wassink-Vossen S, Collard RM, Penninx BW, Hiles SA, Oude Voshaar RC, Naarding P. The reciprocal relationship between physical activity and depression: Does age matter? Eur Psychiatry 2018; 51:9-15. [PMID: 29510298 DOI: 10.1016/j.eurpsy.2017.12.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 12/21/2017] [Accepted: 12/30/2017] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The level of physical activity (PA) and the prevalence of depression both change across the lifespan. We examined whether the association between PA and depression is moderated by age. As sense of mastery and functional limitations have been previously associated with low PA and depression in older adults, we also examined whether these are determinants of the differential effect of age on PA and depression. METHODS 1079 patients with major depressive disorder (aged 18-88 years) were followed-up after two-years; depression diagnosis and severity as well as PA were re-assessed. Linear and logistic regression analyses were used to test reciprocal prospective associations between PA and depression outcomes. In all models the interaction with age was tested. RESULTS PA at baseline predicted remission of depressive disorder at follow-up (OR = 1.43 [95% CI: 1.07-1.93], p = .018). This effect was not moderated by age. PA predicted improvement of depression symptom severity in younger (B = -2.03; SE = .88; p = .022), but not in older adults (B = 2.24; SE = 1.48; p = .128) (p = .015 for the interaction PA by age in the whole sample). The level of PA was relatively stable over time. Depression, sense of mastery and functional limitation were for all ages not associated with PA at follow-up. CONCLUSIONS Age did not moderate the impact of PA on depressive disorder remission. Only in younger adults, sufficient PA independently predicts improvement of depressive symptom severity after two-year follow-up. Level of PA rarely changed over time, and none of the determinants tested predicted change in PA, independent of age.
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Affiliation(s)
- S Wassink-Vossen
- Department of Old-Age Psychiatry, GGNet Apeldoorn, Zutphen, The Netherlands.
| | - R M Collard
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - B W Penninx
- Department of Psychiatry and EMGO+ Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - S A Hiles
- School of Medicine and Public Health, Faculty of Health, University of Newcastle, Callaghan, Australia
| | - R C Oude Voshaar
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands
| | - P Naarding
- Department of Old-Age Psychiatry, GGNet Apeldoorn, Zutphen, The Netherlands
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Collard RM, Arts MHL, Schene AH, Naarding P, Oude Voshaar RC, Comijs HC. The impact of frailty on depressive disorder in later life: Findings from the Netherlands Study of depression in older persons. Eur Psychiatry 2017; 43:66-72. [PMID: 28365469 DOI: 10.1016/j.eurpsy.2017.01.003] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 01/09/2017] [Accepted: 01/10/2017] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Physical frailty and depressive symptoms are reciprocally related in community-based studies, but its prognostic impact on depressive disorder remains unknown. METHODS A cohort of 378 older persons (≥60 years) suffering from a depressive disorder (DSM-IV criteria) was reassessed at two-year follow-up. Depressive symptom severity was assessed every six months with the Inventory of Depressive Symptomatology, including a mood, motivational, and somatic subscale. Frailty was assessed according to the physical frailty phenotype at the baseline examination. RESULTS For each additional frailty component, the odds of non-remission was 1.24 [95% CI=1.01-1.52] (P=040). Linear mixed models showed that only improvement of the motivational (P<001) subscale and the somatic subscale (P=003) of the IDS over time were dependent on the frailty severity. CONCLUSIONS Physical frailty negatively impacts the course of late-life depression. Since only improvement of mood symptoms was independent of frailty severity, one may hypothesize that frailty and residual depression are easily mixed-up in psychiatric treatment.
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Affiliation(s)
- R M Collard
- Department of Psychiatry, Radboud university medical center, Nijmegen, The Netherlands.
| | - M H L Arts
- Mental Health Center Friesland, Department of Old Age Psychiatry, Leeuwarden, The Netherlands; University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, The Netherlands
| | - A H Schene
- Department of Psychiatry, Radboud university medical center, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - P Naarding
- GGNet, Department of Old-age Psychiatry, Apeldoorn/Zutphen, The Netherlands
| | - R C Oude Voshaar
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, The Netherlands
| | - H C Comijs
- GGZinGeest, Amsterdam, The Netherlands; Department Psychiatry/EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
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Wassink-Vossen S, Noorthoorn EO, Collard RM, Comijs HC, Oude Voshaar RC, Naarding P. Value of Physical Activity and Sedentary Behavior in Predicting Depression in Older Adults. J Am Geriatr Soc 2016; 64:647-9. [DOI: 10.1111/jgs.14002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
| | - Eric O. Noorthoorn
- Department of Old-Age Psychiatry; GGNet; Apeldoorn / Zutphen the Netherlands
| | - Rose M. Collard
- Department of Psychiatry; Radboud University Nijmegen Medical Center; Nijmegen the Netherlands
| | - Hannie C. Comijs
- Department of Psychiatry; EMGO Institute of Health and Care Research; VU University Medical Center; GGZinGeest; Amsterdam the Netherlands
| | - Richard C. Oude Voshaar
- Interdisciplinary Center of Psychopathology of Emotion Regulation; University of Groningen; University Medical Center Groningen; Interdisciplinary Center of Psychopathology & Emotion Regulation (ICPE); Groningen the Netherlands
| | - Paul Naarding
- Department of Old-Age Psychiatry; GGNet; Apeldoorn / Zutphen the Netherlands
- Department of Psychiatry; Radboud University Nijmegen Medical Center; Nijmegen the Netherlands
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Arts MHL, Collard RM, Comijs HC, Zuidersma M, de Rooij SE, Naarding P, Oude Voshaar RC. Physical Frailty and Cognitive Functioning in Depressed Older Adults: Findings From the NESDO Study. J Am Med Dir Assoc 2015; 17:36-43. [PMID: 26341037 DOI: 10.1016/j.jamda.2015.07.016] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2015] [Revised: 07/27/2015] [Accepted: 07/28/2015] [Indexed: 12/22/2022]
Abstract
OBJECTIVES Cognitive frailty has recently been defined as the co-occurrence of physical frailty and cognitive impairment. Late-life depression is associated with both physical frailty and cognitive impairment, especially processing speed and executive functioning. The objective of this study was to investigate the association between physical frailty and cognitive functioning in depressed older persons. DESIGN Baseline data of a depressed cohort, participating in the Netherlands Study of Depression in Older persons (NESDO). SETTING Primary care and specialized mental health care. PARTICIPANTS A total of 378 patients (≥60 years) with depression according to DSM-IV criteria and a MMSE score of 24 points or higher. MEASUREMENTS The physical frailty phenotype as well as its individual criteria (weight loss, weakness, exhaustion, slowness, low activity). Cognitive functioning was examined in 4 domains: verbal memory, working memory, interference control, and processing speed. RESULTS Of the 378 depressed patients (range 60-90 years; 66.1% women), 61 were classified as robust (no frailty criteria present), 214 as prefrail (1 or 2 frailty criteria present), and 103 as frail (≥3 criteria). Linear regression analyses, adjusted for confounders, showed that the severity of physical frailty was associated with poorer verbal memory (ß = -0.13, P = .039), slower processing speed (ß = -0.20, P = .001), and decreased working memory (ß = -0.18, P = .004), but not with changes in interference control (ß = 0.04, P = .54). CONCLUSION In late-life depression, physical frailty is associated with poorer cognitive functioning, although not consistently for executive functioning. Future studies should examine whether cognitive impairment in the presence of physical frailty belongs to cognitive frailty and is indeed an important concept to identify a specific subgroup of depressed older patients, who need multimodal treatment strategies integrating physical, cognitive, and psychological functioning.
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Affiliation(s)
- Matheus H L Arts
- Mental Health Center Friesland, Department of Old Age Psychiatry, Leeuwarden, The Netherlands; University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, The Netherlands.
| | - Rose M Collard
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, The Netherlands
| | - Hannie C Comijs
- VU University Medical Center/GGZinGeest, EMGO Institute for Health and Care Research, Department of Psychiatry, Amsterdam, The Netherlands
| | - Marij Zuidersma
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, The Netherlands
| | - Sophia E de Rooij
- University of Groningen, University Medical Center Groningen, Department of Geriatric Medicine, Groningen, The Netherlands
| | - Paul Naarding
- Radboud University Medical Center, Department of Psychiatry, Nijmegen, The Netherlands; GGNet, Department of Old Age Psychiatry, Apeldoorn, The Netherlands
| | - Richard C Oude Voshaar
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, The Netherlands; Radboud University Medical Center, Department of Psychiatry, Nijmegen, The Netherlands
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Peerenboom L, Collard RM, Naarding P, Comijs HC. The association between depression and emotional and social loneliness in older persons and the influence of social support, cognitive functioning and personality: A cross-sectional study. J Affect Disord 2015; 182:26-31. [PMID: 25965692 DOI: 10.1016/j.jad.2015.04.033] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Revised: 04/07/2015] [Accepted: 04/18/2015] [Indexed: 11/19/2022]
Abstract
BACKGROUND We investigated the association between old age depression and emotional and social loneliness. METHODS A cross-sectional study was performed using data from the Netherlands Study of Depression in Older Persons (NESDO). A total of 341 participants diagnosed with a depressive disorder, and 125 non-depressed participants were included. Depression diagnosis was confirmed with the Composite International Diagnostic Interview. Emotional and social loneliness were assessed using the De Jong Gierveld Loneliness Scale. Socio-demographic variables, social support variables, depression characteristics (Inventory of Depressive Symptoms), cognitive functioning (Mini Mental State Examination) and personality factors (the NEO- Five Factor Inventory and the Pearlin Mastery Scale) were considered as possible explanatory factors or confounders. (Multiple) logistic regression analyses were performed. RESULTS Depression was strongly associated with emotional loneliness, but not with social loneliness. A higher sense of neuroticism and lower sense of mastery were the most important explanatory factors. Also, we found several other explanatory and confounding factors in the association of depression and emotional loneliness; a lower sense of extraversion and higher severity of depression. LIMITATIONS We performed a cross-sectional observational study. Therefore we cannot add evidence in regard to causation; whether depression leads to loneliness or vice versa. CONCLUSIONS Depression in older persons is strongly associated with emotional loneliness but not with social loneliness. Several personality traits and the severity of depression are important in regard to the association of depression and emotional loneliness. It is important to develop interventions in which both can be treated.
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Affiliation(s)
- L Peerenboom
- Department of Psychiatry, Pro Persona, Nijmegen, The Netherlands.
| | - R M Collard
- Departement of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - P Naarding
- Department of Old-age Psychiatry, GGNet, Apeldoon/Zutphen, The Netherlands
| | - H C Comijs
- GGZinGeest/VU University Medical Center/Department Psychiatry, Amsterdam, The Netherlands
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Arts MH, Collard RM, Comijs HC, Naudé PJ, Risselada R, Naarding P, Oude Voshaar RC. Relationship Between Physical Frailty and Low-Grade Inflammation in Late-Life Depression. J Am Geriatr Soc 2015. [DOI: 10.1111/jgs.13528] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Matheus H.L. Arts
- Mental Health Center Friesland; Department of Old Age Psychiatry; Leeuwarden the Netherlands
- University of Groningen; University Medical Center Groningen; University Center for Psychiatry; Groningen the Netherlands
| | - Rose M. Collard
- University Medical Centre St. Radboud; Department of Psychiatry; Nijmegen the Netherlands
- Nijmegen Mental Health Centre; Pro Persona; Nijmegen the Netherlands
| | - Hannie C. Comijs
- VU University Medical Center/GGZinGeest; Department Psychiatry/EMGO Institute for Health and Care Research; Amsterdam the Netherlands
| | - Petrus J.W. Naudé
- University of Groningen; University Medical Center Groningen; Department of Neurology; Alzheimer Research Center; Groningen the Netherlands
| | - Roelof Risselada
- Mental Health Center Friesland; Department of Old Age Psychiatry; Leeuwarden the Netherlands
| | - Paul Naarding
- University Medical Centre St. Radboud; Department of Psychiatry; Nijmegen the Netherlands
- Mental Health Care Center GGNet; Department of Old Age Psychiatry; Apeldoorn the Netherlands
| | - Richard C. Oude Voshaar
- University of Groningen; University Medical Center Groningen; University Center for Psychiatry; Groningen the Netherlands
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Collard RM, Arts M, Comijs HC, Naarding P, Verhaak PF, de Waal MW, Oude Voshaar RC. The role of frailty in the association between depression and somatic comorbidity: Results from baseline data of an ongoing prospective cohort study. Int J Nurs Stud 2015; 52:188-96. [DOI: 10.1016/j.ijnurstu.2014.07.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Revised: 07/10/2014] [Accepted: 07/15/2014] [Indexed: 12/18/2022]
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Abstract
OBJECTIVES Frailty, a state of increased risk of negative health outcomes, is increasingly recognized as a relevant concept for identifying older persons in need of preventative geriatric interventions. Even though broader concepts of frailty include psychological characteristics, frailty is largely neglected in mental health care. The aim of the present study is to examine the prevalence of physical frailty in depressed older patients and its potential overlap with depression criteria. METHOD Cross-sectional observational study including 378 depressed and 132 non-depressed adults aged ≥60 years according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. Physical frailty was defined as ≥3 out of 5 criteria (handgrip strength, weight loss, poor endurance, walking speed, low physical activity). RESULTS Prevalence rates of physical frailty were 27.2% and 9.1% among depressed and non-depressed participants, respectively, which remained significant after controlling for relevant covariates (odds ratio [OR] = 2.66 [95% confidence interval [C.I.] = 1.36, 5.24], p = .004). Physical frailty in depression was associated with more severe depressive symptoms; this association remained significant in subsequent analyses with purely physical proxies for frailty (hand grip strength, walking speed) and different severity measures of depressive symptoms. CONCLUSION A quarter of depressed older patients is physically frail, especially the most depressed group. This cannot be explained by overlap in criteria and should be examined in future studies, primarily on its presumed clinical relevance.
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Affiliation(s)
- Rose M Collard
- a Department of Psychiatry , University Medical Centre St. Radboud , Nijmegen , The Netherlands
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Wassink-Vossen S, Collard RM, Oude Voshaar RC, Comijs HC, de Vocht HM, Naarding P. Physical (in)activity and depression in older people. J Affect Disord 2014; 161:65-72. [PMID: 24751309 DOI: 10.1016/j.jad.2014.03.001] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2013] [Revised: 02/28/2014] [Accepted: 03/01/2014] [Indexed: 12/15/2022]
Abstract
BACKGROUND Knowledge about characteristics explaining low level of physical activity in late-life depression is needed to develop specific interventions aimed at improving physical health in depressed people above the age of 60. METHODS This cross-sectional study used data from the Netherlands Study of Depression in Older Persons (NESDO), a longitudinal multi-site naturalistic cohort study. People aged 60 and over with current depression and a non-depressed comparison group were included, and total amount of PA per week was assessed with the short version of the International Physical Activity Questionnaire (IPAQ). Depression characteristics, socio-demographics, cognitive function, somatic condition, psycho-social, environment and other lifestyle factors were added in a multiple regression analysis. RESULTS Depressed persons >60y were less physically active in comparison with non-depressed subjects. The difference was determined by somatic condition (especially, functional limitations) and by psychosocial characteristics (especially sense of mastery). Within the depressed subgroup only, a lower degree of physical activity was associated with more functional limitations, being an inpatient, and the use of more medication, but not with the severity of the depression. LIMITATION This study is based on cross-sectional data, so no conclusions can be drawn regarding causality. CONCLUSIONS This study confirms that depression in people over 60 is associated with lower physical activity. Patient characteristics seem more important than the depression diagnosis itself or the severity of depression. Interventions aimed at improving physical activity in depressed persons aged 60 and over should take these characteristics into account.
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Affiliation(s)
| | - Rose M Collard
- Department of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Richard C Oude Voshaar
- University Medical Center Groningen, University of Groningen, University Center of Psychiatry & Interdisciplinary Center of Psychopathology of Emotion regulation, Groningen, The Netherlands
| | - Hannie C Comijs
- Department of Psychiatry/EMGO Institute of Health and Care Research, VU University Medical Center/GGZinGeest, Amsterdam, The Netherlands
| | - Hilde M de Vocht
- Research Center for Health, Social Work & Technology, Saxion University, Deventer/Enschede, The Netherlands
| | - Paul Naarding
- Department of Old-age Psychiatry, GGNet, Apeldoorn/Zutphen, The Netherlands; Department of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
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Affiliation(s)
| | - Han Boter
- Department of Epidemiology; University Medical Center Groningen; University of Groningen; Groningen; the Netherlands
| | - Robert A. Schoevers
- University Center of Psychiatry & Interdisciplinary Center of Psychiatric Epidemiology; University Medical Center Groningen; University of Groningen; Groningen; the Netherlands
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Collard RM, Oude Voshaar RC. [Frailty; a fragile concept]. Tijdschr Psychiatr 2012; 54:59-69. [PMID: 22237611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
BACKGROUND Frailty can be regarded as a condition in which the reserve capacity of various physical systems has sunk to a critical low, at which point minor disturbances can develop into serious health problems. AIM To review the various operationalisations of the concept of frailty and describe the relationship between frailty and psychopathology. METHOD We searched the literature up to October 2010 using PubMed, PsycINFO and CINAHL. RESULTS We found 35 operationalisations of the concept of frailty; 4 single measurements as a proxy for frailty (e.g. muscle strength), 18 syndrome diagnoses which can be subdivided into single (n = 5) and multiple syndrome diagnoses (n = 13) and 13 dimensional operationalisations for which measurement instruments were used. Only 6 studies reported the relationship between frailty and psychopathology. The studies revealed an association between depression and psychopathology. An important finding was the association between depression and frailty, but the direction of the association is unknown. CONCLUSION No consensus has been reached regarding the operationalisation of the concept of frailty. For the purpose of gerontopsychiatric research we recommend the inclusion of a syndrome diagnosis based on physical criteria (physical frailty) because this should make it possible to unravel the relationship between psychopathology and underlying ageing mechanisms.
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