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
Hovenkamp-Hermelink, J.H.M.; Jeronimus, B.F.; Veen, D.C. van der; Spinhoven, P.; Penninx, B.W.J.H.; Schoevers, R.A.; Riese, H. 2019
Background: The locus of control (LOC) construct has been associated with onset, course, and severity of anxiety and depression. We investigated the stability of LOC, the bidirectional... Show moreBackground: The locus of control (LOC) construct has been associated with onset, course, and severity of anxiety and depression. We investigated the stability of LOC, the bidirectional relationships between LOC and symptom severity of anxiety and depression over nine years, and the influence of intermediate positive and negative life-events on these associations.Methods: Data came from five assessment waves over nine years of 2052 subjects with an anxiety or depressive disorder or healthy controls. First, the stability of LOC (assessed with 5-item Mastery Scale) was tested. Next, associations between LOC, anxiety severity (Beck Anxiety Inventory), depression severity (Inventory of Depressive Symptomatology), and intermediate positive and negative life-events (20-item List of Threatening Experience Questionnaire) were determined with structural equation modeling.Results: LOC was rather stable over nine years (r = 0.62), and scores increased slightly with age (i.e. became more internal). LOC yielded equal stability estimates as symptom levels of anxiety and depression did over nine years. A more external LOC predicted higher anxiety and depression severity, but did not influence the incidence of positive and negative life-events. Higher depression severity and more negative life-events predicted the development of a more external LOC, whereas more positive life-events predicted a more internal LOC. Anxiety severity had no effect on LOC.Limitations: Life-events were assessed with self-report measures.Conclusions: The prospective associations between LOC and meaningful changes in anxiety and depressive symptom severity and experienced life-events may yield important new insights for clinical interventions. Show less
