Background Depression and anxiety are common mental disorders among patients with chronic pain. It is hypothesised that patients suffering from these disorders benefit less from cervical spine... Show moreBackground Depression and anxiety are common mental disorders among patients with chronic pain. It is hypothesised that patients suffering from these disorders benefit less from cervical spine surgery than mentally healthy patients. Therefore, this study aimed to quantify the effect of mental health status on functional outcome after anterior cervical discectomy in a post hoc analysis on RCT data. Methods One hundred eight patients from the NECK trial, with radiculopathy due to a one-level herniated disc, underwent anterior cervical discectomy and were included into this analysis. Functional outcome was quantified using the Neck Disability Index (NDI), and mental health status was measured using the Hospital Anxiety and Depression Score (HADS) questionnaire. NDI differences were assessed using generalised estimated equations (GEE), crude means, a predictive linear mixed model (LMM) using baseline scores and over time with an explanatory LMM. Results At baseline, 24% and 32% of patients were respectively depressed and anxious and had statistically significant and clinically relevant higher NDI scores during follow-up. However, in those patients in which the HADS returned to normal during follow-up, NDI values decreased comparably to the non-depression or non-anxiety cases. Those patients that demonstrated persisting high HADS values had convincingly worse NDI scores. A predictive LMM showed that combining baseline NDI and HADS scores was highly predictive of NDI during follow-up. The R shiny application enabled the effective, visual communication of results from the predictive LMM. Conclusion This study shows that mental health status and disability are strongly associated and provides insight into the size of the effect, as well as a way to use this relation to improve preoperative patient counselling. These findings give rise to the suggestion that incorporating mental health screening in the preoperative assessment of patients could help to adequately manage patients' expectations for functional recovery. Show less
Background: Differences in symptom burden, treatment satisfaction and autonomy between patients receiving peritoneal dialysis and haemodialysis could be reflected by a difference in symptom... Show moreBackground: Differences in symptom burden, treatment satisfaction and autonomy between patients receiving peritoneal dialysis and haemodialysis could be reflected by a difference in symptom dimensions of anxiety and depression. The aim of this study is to assess differences in prevalence and symptom dimensions of anxiety and depression between patients receiving peritoneal dialysis and haemodialysis. Methods: Baseline data from the Depression Related Factors and Outcomes in Dialysis Patients With Various Ethnicities and Races Study were used. Symptoms of anxiety and depression were measured with the Beck Anxiety Inventory and Beck Depression Inventory- second edition. Linear and logistic regression models were used to compare anxiety and depression total scores and somatic and subjective/cognitive symptom dimension scores between patients receiving peritoneal dialysis and haemodialysis, adjusted for potential confounders. Results: In total, 84 patients receiving peritoneal dialysis and 601 patients receiving haemodialysis were included. Clinically significant symptoms of anxiety and depression were present in respectively 22% and 43% of the patients, with no differences between dialysis modality. Both modalities scored high on the somatic symptom dimensions and on individual somatic items. Almost all patients reported symptoms related to loss of energy and sleep. Conclusion: No differences in symptom dimensions of anxiety and depression were found between patients receiving peritoneal dialysis and haemodialysis. The high prevalence of somatic symptom dimensions in both groups underscores the possible interaction between somatic and psychiatric symptoms in dialysis patients and the need for early recognition and treatment of symptoms of anxiety and depression regardless of treatment modalities. Show less
Galbally, M.; Watson, S.J.; Lappas, M.; Kloet, E.R. de; Rossum, E. van; Wyrwoll, C.; ... ; Lewis, A.J. 2021
Placental 11fl-HSD2 has been a focus of research for understanding potential fetal programming associated with maternal emotional disorders. This study examined the pathway from antenatal mental... Show morePlacental 11fl-HSD2 has been a focus of research for understanding potential fetal programming associated with maternal emotional disorders. This study examined the pathway from antenatal mental health via placental 11flHSD2 mRNA to cortisol regulation in the infant offspring. This study reports on data obtained from 236 participants in the Mercy Pregnancy and Emotional Wellbeing Study (MPEWS). At term, placental tissue was collected within 30 min of birth from 52 participants meeting current criteria for a depressive disorder, and 184 control participants. Depressive disorders were diagnosed using the SCID-IV. In addition, antidepressant use, depressive and anxiety symptoms were measured in early and late pregnancy. Placental 11fl-HSD2 mRNA expression was measured using qRT-PCR. Infant salivary cortisol samples were taken at 12 months of age. Women on antidepressant medication and with higher trait anxiety had higher placental 11fl-HSD2 expression compared to women not taking medication. Furthermore, the offspring of women taking an antidepressant and who also had a current depressive disorder and high trait anxiety had high cortisol reactivity at 12 months of age and this was mediated through 11fl-HSD2 mRNA expression. In contrast, offspring of women not taking antidepressant medication with depressive disorder and high anxiety there was low cortisol reactivity observed. Our findings suggest that the relationship between maternal antenatal depression and anxiety and infant cortisol reactivity is mediated through placental 11fl-HSD2 mRNA expression. Furthermore, the direction differed for women taking antidepressants, where infant cortisol reactivity was high whereas when compared to those with unmedicated depression and anxiety, where infant cortisol reactivity was low. Show less
Bernstein, E.E.; Does, F. van der; Orr, S.P.; McNally, R.J. 2020
Anxiety disorders are characterized by difficulty distinguishing safe contexts from previous or imagined threats. Conditioned fears spread beyond what is reasonable or adaptive, leading to broad... Show moreAnxiety disorders are characterized by difficulty distinguishing safe contexts from previous or imagined threats. Conditioned fears spread beyond what is reasonable or adaptive, leading to broad and interfering anxieties when people overgeneralize their fears. Difficulties with mnemonic discrimination, a component process of memory supporting the integration of old and new experiences, may foster overgeneralization and increase risk for anxiety disorders. Individuals along a spectrum of anxiety severity (n = 117) completed a differential fear conditioning paradigm and the computerized Mnemonic Similarity Task. The task measures mnemonic discrimination by requiring individuals to differentiate between highly similar old and new entities. We predicted that low mnemonic discrimination would be associated with overgeneralization, i.e., flatter slopes of change in response to stimuli increasingly dissimilar to the conditioned stimulus. Conditional growth models showed that as expected, participants with the highest mnemonic discrimination scores also exhibited the steepest declines in fear ratings as stimuli increasingly differed from the conditioned stimulus. Results were unchanged after adjusting for recognition memory, self-reported anxiety, and clinical diagnoses and symptoms. Results support the hypothesis that memory interference (i.e., low mnemonic discrimination) could increase vulnerability for overgeneralization. Findings justify additional exploration of mnemonic discrimination and its role in anxious psychopathology. Show less
Background: Patients with various psychiatric disorders may suffer from feelings of anger, sometimes leading to maladaptive (e.g., aggressive) behaviors. We examined to what extent depressive and... Show moreBackground: Patients with various psychiatric disorders may suffer from feelings of anger, sometimes leading to maladaptive (e.g., aggressive) behaviors. We examined to what extent depressive and anxiety disorders, relevant clinical correlates, and sociodemographics determined the level of trait anger and the prevalence of recent anger attacks.Methods: In the Netherlands Study of Depression and Anxiety (NESDA), the Spielberger Trait Anger Subscale and the Anger Attacks Questionnaire were analyzed in patients with depressive (n = 204), anxiety (n = 288), comorbid (n = 222), and remitted disorders (n = 1,107), as well as in healthy controls (n = 470) based on DSM-IV criteria.Results: On average, participants were 46.2 years old (SD = 13.1) and 66.3% were female. Trait anger and anger attacks were most prevalent in the comorbid group (M = 18.5, SD = 5.9, and prevalence 22.1%), followed by anxiety disorder, depressive disorder, remitted disorder, and controls (M = 12.7; SD = 2.9, and prevalence 1.3%). Major depressive disorder, social phobia, panic disorder, and generalized anxiety disorder were most strongly associated to trait anger and anger attacks.Limitations: Due to a cross-sectional design, it was not possible to provide evidence for temporal or causal relationships between anger and depressive and anxiety disorders.Conclusions: Trait anger and anger attacks are linked to depressive and anxiety disorders, although the strength of the relationship differed among both anger constructs. Show less
Background and objectives: Comorbidity among anxiety and depression disorders and their symptoms is high. Rumination and worry have been found to mediate prospective cross-disorder relations... Show moreBackground and objectives: Comorbidity among anxiety and depression disorders and their symptoms is high. Rumination and worry have been found to mediate prospective cross-disorder relations between anxiety and depression disorders and their symptoms in adolescents and adults. We examined whether generic repetitive negative thinking (RNT), that is content- and disorder-independent, also mediates prospective cross-disorder associations between anxiety and depressions disorders and their symptoms.Methods: This was studied using a 5-year prospective cohort study. In a mixed sample of 1859 adults (persons with a prior history of or a current affective disorder and healthy individuals), we assessed DSM-IV affective disorders (Composite Interview Diagnostic Instrument), anxiety (Beck Anxiety Inventory) and depression symptoms (Inventory of Depressive Symptomatology) and RNT (Perseverative Thinking Questionnaire).Results: We found that baseline depression disorders and symptom severity have predictive value for anxiety disorders and symptom severity five years later (and vice versa) and that these associations were significantly mediated by level of RNT as assessed two years after baseline. The significant and rather large mediation effects seemed mainly due to the mental capacity captured by RNT, especially in the prospective relation of anxiety with future depression.Limitations: The mediation effects were greatly attenuated or even nullified after rigorously controlling for concomitant psychopathology at two years after baseline.Conclusions: From these results it can be concluded that repetitive negative thinking could be an important transdiagnostic factor, that may constitute a suitable target for treatment. Show less
Schawo, S.J.; Carlier, I.V.E.; Hemert, A.M. van; Beurs, E. de 2019
Background: For routine outcome monitoring, generic (i.e., broad-based) and disorder-specific instruments are used to monitor patient progress. While disorder-specific instruments may be more... Show moreBackground: For routine outcome monitoring, generic (i.e., broad-based) and disorder-specific instruments are used to monitor patient progress. While disorder-specific instruments may be more sensitive to therapeutic change, generic measures can be applied more broadly and allow for an assessment of therapeutic change, irrespective of a specific anxiety disorder. Our goal was to investigate whether disorder-specific instruments for anxiety disorders are a valuable (or even necessary) addition to generic instruments for an appropriate assessment of treatment outcome in groups of patients.Methods: Data were collected from 2002 to 2013 from psychiatric outpatients in treatment for Social Phobia (SP; n = 834), Generalized Anxiety Disorder (GAD; n = 661), Panic Disorder (PD; n = 944), Obsessive-Compulsive Disorder (OCD; n = 460), and Posttraumatic Stress Disorder (PTSD; n = 691). Instruments used were the generic Brief Symptom Inventory (BSI), The Mood and Anxiety Symptoms Questionnaire (MASQ), and several disorder-specific instruments (e.g., Social Interaction Anxiety Scale, Social Phobia Scale, Panic Appraisal Inventory, etc.). Responsiveness (i.e., sensitivity to therapeutic change) was examined through correlational analyses, effect sizes (ES), and analysis of variance for repeated measures.Results: The MASQ appeared generally more responsive than the BSI, except for the BSI Anxiety subscale for PD. Disorder-specific measures equaled the MASQ and BSI in responsiveness. When statistically significant differences occurred, the ES was small.Discussion/conclusions: For most anxiety disorder groups (i.e., SP, PD and OCD), the MASQ or BSI was equally suited as disorder-specific instruments to detect change at group level. Exceptions are GAD and PTSD. These findings suggest limited incremental information value of disorder-specific instruments over the MASQ and BSI for measuring change. Show less
Background: Depressive and anxiety disorders have been linked to a dysregulated hypothalamus-pituitary adrenal (HPA)-axis. Hair cortisol levels (HairF) reflect integrated long-term cortisol... Show moreBackground: Depressive and anxiety disorders have been linked to a dysregulated hypothalamus-pituitary adrenal (HPA)-axis. Hair cortisol levels (HairF) reflect integrated long-term cortisol regulation and are therefore promising endocrine markers of chronic (psychological and physical) stress.Our aim was to assess hair cortisol levels in persons with a depressive and/or anxiety disorder and to compare their levels with that of persons in remission and healthy controls.Methods: Data from 1166 participants of the Netherlands Study of Depression and Anxiety (NESDA) were used, including 266 participants with a recent (1-month) diagnosis of a depressive and/or anxiety disorder, 655 participants with a diagnosis in remission, and 245 healthy controls. HairF was measured in the proximal three cm of scalp hair, using LC-MS/MS.Results: Compared to the healthy controls no differences on HairF or HairE levels were found for depressive and anxiety disorders alone. However the presence of a comorbid depressive and anxiety disorder was significantly associated with increased HairF levels (beta = 0.07; p = .031), as was the severity of depressive symptoms (beta = 0.06; p = .029), but no differences were found on HairE nor the HairF:HairE ratio.Conclusions: Persons with current diagnosis of comorbid depression and anxiety show moderately higher levels of cortisol than patients with only depression or anxiety, or patients in remission and healthy controls, which may be indicative of a chronic state of hyperactivation of the HPA axis. Show less
Background: Psychiatric disorders are highly heterogeneous, defined based on symptoms with little connection to potential underlying biological mechanisms. A possible approach to dissect biological... Show moreBackground: Psychiatric disorders are highly heterogeneous, defined based on symptoms with little connection to potential underlying biological mechanisms. A possible approach to dissect biological heterogeneity is to look for biologically meaningful subtypes. A recent study Drysdale et al. (2017) showed promising results along this line by simultaneously using resting state fMRI and clinical data and identified four distinct subtypes of depression with different clinical profiles and abnormal resting state fMRI connectivity. These subtypes were predictive of treatment response to transcranial magnetic stimulation therapy.Objective: Here, we attempted to replicate the procedure followed in the Drysdale a al. study and their findings in a different clinical population and a more heterogeneous sample of 187 participants with depression and anxiety. We aimed to answer the following questions: 1) Using the same procedure, can we find a statistically significant and reliable relationship between brain connectivity and clinical symptoms? 2) Is the observed relationship similar to the one found in the original study? 3) Can we identify distinct and reliable subtypes? 4) Do they have similar clinical profiles as the subtypes identified in the original study?Methods: We followed the original procedure as closely as possible, including a canonical correlation analysis to find a low dimensional representation of clinically relevant resting state fMRI features, followed by hierarchical clustering to identify subtypes. We extended the original procedure using additional statistical tests, to test the statistical significance of the relationship between resting state fMRI and clinical data, and the existence of distinct subtypes. Furthermore, we examined the stability of the whole procedure using resampling.Results and conclusion: As in the original study, we found extremely high canonical correlations between functional connectivity and clinical symptoms, and an optimal three-cluster solution. However, neither canonical correlations nor clusters were statistically significant. On the basis of our extensive evaluations of the analysis methodology used and within the limits of comparison of our sample relative to the sample used in Drysdale et al., we argue that the evidence for the existence of the distinct resting state connectivity-based subtypes of depression should be interpreted with caution. Show less
Loosman, W.L.; Haverkamp, G.L.G.; Beukel, T.O. van den; Hoekstra, T.; Dekker, F.W.; Shaw, P.K.C.; ... ; Honig, A. 2018
