BackgroundDespite growing concerns about mental health during the COVID-19 pandemic, particularly in people with pre-existing mental health disorders, research has shown that symptoms of depression... Show moreBackgroundDespite growing concerns about mental health during the COVID-19 pandemic, particularly in people with pre-existing mental health disorders, research has shown that symptoms of depression and anxiety were generally quite stable, with modest changes in certain subgroups. However, individual differences in cumulative exposure to COVID-19 stressors have not been yet considered.AimsWe aimed to quantify and investigate the impact of individual-level cumulative exposure to COVID-19-pandemic-related adversity on changes in depressive and anxiety symptoms and loneliness. In addition, we examined whether the impact differed among individuals with various levels of pre-pandemic chronicity of mental health disorders.MethodBetween April 2020 and July 2021, 15 successive online questionnaires were distributed among three psychiatric case–control cohorts that started in the 2000s (N = 1377). Outcomes included depressive and anxiety symptoms and loneliness. We developed a COVID-19 Adversity Index (CAI) summarising up to 15 repeated measures of COVID-19-pandemic-related exposures (e.g. exposure to COVID-19 infection, negative economic impact and quarantine). We used linear mixed linear models to estimate the effects of COVID-19-related adversity on mental health and its interaction with pre-pandemic chronicity of mental health disorders and CAI.ResultsHigher CAI scores were positively associated with higher increases in depressive symptoms, anxiety symptoms and loneliness. Associations were not statistically significantly different between groups with and without (chronic) pre-pandemic mental health disorders.ConclusionsIndividual differences in cumulative exposure to COVID-19-pandemic-related adversity are important predictors of mental health, but we found no evidence for higher vulnerability among people with (chronic) pre-pandemic mental health disorders. Show less
BackgroundChildhood trauma (CT) is associated with severe sequelae, including stress-related mental health disorders that can perpetuate long into adulthood. A key mechanism in this relationship... Show moreBackgroundChildhood trauma (CT) is associated with severe sequelae, including stress-related mental health disorders that can perpetuate long into adulthood. A key mechanism in this relationship seems to be emotion regulation. We aimed to investigate (1) whether childhood trauma is associated with anger in adulthood, and, if so, (2) to explore which types of childhood trauma predominate in the prediction of anger in a cohort that included participants with and without current affective disorders.MethodsIn the Netherlands Study of Depression and Anxiety (NESDA), childhood trauma was assessed with a semi-structured Childhood Trauma Interview (CTI) at baseline, and analyzed in relation to anger as measured at a 4-year follow-up with the Spielberger Trait Anger Subscale (STAS), the Anger Attacks Questionnaire, and cluster B personality traits (i.e., borderline, antisocial) of the Personality Disorder Questionnaire 4 (PDQ-4), using analysis of covariance (ANCOVA) and multivariable logistic regression analyses. Post hoc analyses comprised cross-sectional regression analyses, using the Childhood Trauma Questionnaire-Short Form (CTQ-SF) also obtained at a 4-year follow-up.ResultsParticipants (n = 2271) were on average 42.1 years (SD = 13.1), and 66.2% were female. Childhood trauma showed a dose–response association with all anger constructs. All types of childhood trauma were significantly associated with borderline personality traits, independently of depression and anxiety. Additionally, all types of childhood trauma except for sexual abuse were associated with higher levels of trait anger, and a higher prevalence of anger attacks and antisocial personality traits in adulthood. Cross-sectionally, the effect sizes were larger compared with the analyses with the childhood trauma measured 4 years prior to the anger measures.ConclusionsChildhood trauma is linked with anger in adulthood, which could be of particular interest in the context of psychopathology. Focus on childhood traumatic experiences and adulthood anger may help to enhance the effectiveness of treatment for patients with depressive and anxiety disorders. Trauma-focused interventions should be implemented when appropriate. Show less
ObjectiveWhile research found heterogeneous changes in mental health during the COVID-19 pandemic, less is known about the long-term changes in mental health in psychiatric groups. Therefore, we... Show moreObjectiveWhile research found heterogeneous changes in mental health during the COVID-19 pandemic, less is known about the long-term changes in mental health in psychiatric groups. Therefore, we applied a data-driven method to detect sub-groups with distinct trajectories across two years into the pandemic in psychiatric groups, and described their differences in socio-demographic and clinical characteristics.MethodWe conducted sixteen rounds of questionnaires between April 2020 and February 2022 among participants (n = 1722) of three psychiatric case–control cohorts that started in the 2000's. We used Growth Mixture Modelling and (multinomial) logistic regression to identify characteristics associated with trajectory membership.ResultsWe found low decreasing (1228 [72%] participants), intermediate (n = 348 [22%] participants) and high stable (106 [6%] participants) trajectories of depressive symptoms; decreasing low/intermediate (1507 [90%] participants) and high stable (161 [10%] participants) trajectories of anxiety symptoms; and stable low (1109 [61%] participants), stable high (315 [17%] participants), temporary lowered (123 [9%]) and temporary heightened (175 [13%] participants) trajectories of loneliness. Chronicity and severity of pre-pandemic mental disorders predicted unfavourable sub-group membership for all outcomes. Being female, having a low education and income level were associated with unfavourable trajectories of depression, being younger with unfavourable trajectories of anxiety and being female and living alone with unfavourable trajectories of loneliness.ConclusionWe found relatively stable trajectories of depression and anxiety symptoms over two years, suggesting low heterogeneity in outcomes during the pandemic. For loneliness, we found two specific sub-groups with temporary increase and decrease in loneliness during the pandemic. Show less
Objectives: Late-life major depressive disorder (MDD) can be conceptualized as a complex dynamic system. However, it is not straightforward how to analyze the covarying depressive symptoms over... Show moreObjectives: Late-life major depressive disorder (MDD) can be conceptualized as a complex dynamic system. However, it is not straightforward how to analyze the covarying depressive symptoms over time in case of sparse panel data. Dynamic time warping (DTW) analysis may yield symptom networks and dimensions both at the patient and group level. Methods: In the Netherlands Study of Depression in Older People (NESDO) depressive symptoms were assessed every 6 months using the 30-item Inventory of Depressive Symptomatology (IDS) with up to 13 assessments per participant. Our sample consisted of 182 persons, aged >= 60 years, with an IDS total score of 26 or higher at baseline. Symptom networks dimensions, and centrality metrics were analyzed using DTW and Distatis analyses. Results: The mean age was 69.8 years (SD 7.1), with 69.0% females, and a mean IDS score of 38.0 (SD = 8.7). DTW enabled visualization of an idiographic symptom network in a single NESDO participant. In the group-level nomothetic approach, four depressive symptom dimensions were identified: "core symptoms", "lethargy/somatic", "sleep", and "appetite/atypical". Items of the "internalizing symptoms" dimension had the highest centrality, whose symptom changes over time were most similar to those changes of other symptoms. Conclusions: DTW revealed symptom networks and dimensions based on the within-person symptom changes in older MDD patients. Its centrality metrics signal the most influential symptoms, which may aid personalized care. Show less
Ottenheim, N.R.; Pan, K.Y.; Kok, A.A.L.; Jorg, F.; Eikelenboom, M.; Horsfall, M.; ... ; Giltay, E.J. 2022
Background Mental health was only modestly affected in adults during the early months of the COVID-19 pandemic on the group level, but interpersonal variation was large. Aims We aim to investigate... Show moreBackground Mental health was only modestly affected in adults during the early months of the COVID-19 pandemic on the group level, but interpersonal variation was large. Aims We aim to investigate potential predictors of the differences in changes in mental health. Method Data were aggregated from three Dutch ongoing prospective cohorts with similar methodology for data collection. We included participants with pre-pandemic data gathered during 2006-2016, and who completed online questionnaires at least once during lockdown in The Netherlands between 1 April and 15 May 2020. Sociodemographic, clinical (number of mental health disorders and personality factors) and COVID-19-related variables were analysed as predictors of relative changes in four mental health outcomes (depressive symptoms, anxiety and worry symptoms, and loneliness), using multivariate linear regression analyses. Results We included 1517 participants with (n = 1181) and without (n = 336) mental health disorders. Mean age was 56.1 years (s.d. 13.2), and 64.3% were women. Higher neuroticism predicted increases in all four mental health outcomes, especially for worry (beta = 0.172, P = 0.003). Living alone and female gender predicted increases in depressive symptoms and loneliness (beta = 0.05-0.08), whereas quarantine and strict adherence with COVID-19 restrictions predicted increases in anxiety and worry symptoms (beta = 0.07-0.11).Teleworking predicted a decrease in anxiety symptoms (beta = -0.07) and higher age predicted a decrease in anxiety (beta = -0.08) and worry symptoms (beta = -0.10). Conclusions Our study showed neuroticism as a robust predictor of adverse changes in mental health, and identified additional sociodemographic and COVID-19-related predictors that explain longitudinal variability in mental health during the COVID-19 pandemic. Show less
Booij, M.M.; Noorden, M.S. van; Vliet, I.M. van; Ottenheim, N.R.; Wee, N.J.A. van der; Hemert, A.M. van; Giltay, E.J. 2021
Background: Although electroconvulsive therapy (ECT) effectively improves severity scores of depression, its effects on its individual symptoms has scarcely been studied. We aimed to study which... Show moreBackground: Although electroconvulsive therapy (ECT) effectively improves severity scores of depression, its effects on its individual symptoms has scarcely been studied. We aimed to study which depressive symptom trajectories dynamically cluster together in individuals as well as groups of patients during ECT using Dy-namic Time Warp (DTW) analysis.Methods: We analysed the standardized weekly scores on the 25-item abbreviated version of the Comprehensive Psychopathological Rating Scale (CPRS) in depressed patients before and during their first six weeks of ECT treatment. DTW analysis was used to analyse the (dis)similarity of time series of items scores at the patient level (300 'DTW distances' per patient) as well as on the group level. Hierarchical cluster, network, and Distatis analyses yielded symptom dimensions.Results: We included 133 patients, 64.7% female, with an average age of 60.4 years (SD 15.1). Individual DTW distance matrices and networks revealed marked differences in hierarchical and network clusters among patients. Based on cluster analyses of the aggregated matrices, four symptom clusters emerged. In patients who reached remission, the average DTW distance between their symptoms was significantly smaller than non-remitters, reflecting denser symptom networks in remitters than non-remitters (p=0.04).Limitations: The assessments were done only weekly during the first six weeks of ECT treatment. The use of individual items of the abbreviated CPRS may have led to measurement error as well as floor and ceiling effects.Conclusion: DTW offers an efficient new approach to analyse symptom trajectories within individuals as well as groups of patients, aiding personalized medicine of psychopathology. Show less
Objective Aggressive behaviour is highly prevalent in long-term psychiatric inpatient care. We aimed to estimate the overall incidence of aggression, the time staff took to handle aggression... Show moreObjective Aggressive behaviour is highly prevalent in long-term psychiatric inpatient care. We aimed to estimate the overall incidence of aggression, the time staff took to handle aggression incidents, and the weighted average financial costs thereof. Methods A random sampling procedure was conducted at long-term psychiatric inpatient care facilities. Nurses were asked to recall all incidents (i.e., verbal, physical towards objects, self, or others) of their shift. For the time spent on each type of incident, staff were monitored in real-time. Estimated costs were calculated by the time spent multiplied by hourly wages in addition to material-related costs. Results Incidence rates were 90 incidents per patient year. The average time spent per incident was 125 min but differed for each type of incident. Almost 80% of this time was consumed by nursing staff. The average cost per aggression incident was euro78; extrapolated per patient year, the total costs were approximately euro7000. Conclusions The current study found a high rate of aggression incidents in closed long-stay psychiatric wards. Reports of aggression on these types of wards are scarce. Nevertheless, aggression seems to have a severe impact on invested time and related costs, which suggests a need for aggression-prevention and de-escalating programs. 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: Metabolic syndrome (MetS) has been associated with both early- and late-life depression. This study investigated whether baseline MetS and its individual components are associated with... Show moreBackground: Metabolic syndrome (MetS) has been associated with both early- and late-life depression. This study investigated whether baseline MetS and its individual components are associated with the course of depression over six years among older persons with a formal depression diagnosis.Methods: Data were used from 378 older persons with a depressive disorder from the Netherlands Study of Depression in Old age (NESDO) with a 6-year follow-up. A formal depression diagnosis according to DSM-IV-TR criteria was ascertained with the Composite International Diagnostic Interview. Severity of depressive symptoms was assessed with the Inventory of Depressive Symptomatology at 6-month intervals. Metabolic syndrome (MetS) was defined according the modified National Cholesterol Education Programme - Adult Treatment Panel III criteria. Primary outcome was time to remission from depression. We applied cox regression analysis for the primary outcome and linear mixed models for secondary analyses.Results: Neither MetS nor its individual components were associated with time to remission from depression (MetS: HR = 1.03; 95% CI = 0.74 - 1.44; p = 0.85), or with depression severity (MetS: B = 0.02; SE = 0.04; p = 0.64) and course of depressive symptoms (MetS: B = -0.01; SE = 0.01; p = 0.23) over 6-years follow-up.Limitations: Attrition was relatively high (46.8%). Furthermore, we only had information on formal depression diagnosis at baseline, 2-year, and 6-year follow-up.Conclusions: We found no evidence for an effect of baseline presence of metabolic dysregulation on the course of formally diagnosed depression in older persons. Metabolic syndrome in depressed patients should be clinically monitored for other reasons than predicting chronicity or severity of depression. Show less
Objectives: Chronic obstructive pulmonary disease (COPD) has been associated with depression in middle-aged and younger old adults. However, it remains unknown whether COPD contributes to the... Show moreObjectives: Chronic obstructive pulmonary disease (COPD) has been associated with depression in middle-aged and younger old adults. However, it remains unknown whether COPD contributes to the occurrence of depressive symptoms in the oldest old subjects. The authors aimed to determine whether oldest old persons with COPD are at increased risk of developing depressive symptoms. Design, Setting, Participants: The authors prospectively followed up 333 subjects from age 85 years onward within the population-based Leiden 85-plus Study. COPD, along with other chronic diseases, was assessed using structured questionnaires and confirmed with the diagnosis of the treating physician. Depressive symptoms were assessed annually using the 15-item version of the Geriatric Depression Scale (GDS-15). Nondepressed subjects with and without COPD at baseline were compared for the occurrence of depressive symptoms during 5 years of follow-up using multilevel analysis. Results: At baseline, COPD was present in 40 subjects (12%) and associated with male gender, lower education, and smoking. During 5 years of follow-up, an additional annual increase of 0.29 points (standard error [SE] = 0.14) in the GDS-score was observed in subjects with COPD, when compared with those without COPD (F-[1,F- 212] = 4.1, p = 0.04). This difference persisted after adjustment for demographics, baseline GDS score, functional limitations, and presence of chronic diseases (F-[1,F- 451] = 4.6, p = 0.03). Conclusion: In the oldest old subjects, COPD independently contributes to an increased risk of developing depressive symptoms. Clinicians should be aware of the association of COPD with depressive symptoms in the oldest old to offer them optimal treatment in an early stage. (Am J Geriatr Psychiatry 2010; 18: 388-394) Show less
