Prediction of 6-yr symptom course trajectories of anxiety disorders by diagnostic, clinical and psychological variables

Spinhoven, Philip; Batelaan, Neeltje M.; Rhebergen, Didi; Balkom, Anton van; Schoevers, Robert A.; Penninx, Brenda W. J. H.

doi:10.1016/j.janxdis.2016.10.011

Cited by 51 publications

(45 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As there were no prior hypotheses on the number of classes, the LCGA was first conducted with a two-class model, assessing fit statistics and increasing the number of classes until the VLMR-LRT became non-significant or any of the AIC or BIC values increased compared to the previous class solution, as is standard for GMM/LCGA methods (Geiser, 2013, Musliner et al., 2016). Following convention with GMM models, each class had to contain at least 5% of the sample for it to be considered meaningful and numerically stable (Gueorguieva et al., 2011, Spinhoven et al., 2016).…”

Section: Methodsmentioning

confidence: 99%

“…The identification of patient subgroups for whom trajectories of symptom change differ requires modelling techniques that can identify distinct sub-populations within the sample (Rubel et al., 2015, Spinhoven et al., 2016). Growth mixture modelling (GMM) offers one method of identifying such subgroups (Muthén, 2001, Muthén et al., 2002) and has been used to identify responders (and non-responders) to antidepressant medication (Gueorguieva et al., 2011), as well as classes of change during psychological treatments (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Trajectories of depression and anxiety symptom change during psychological therapy

Saunders

Buckman

Cape

et al. 2019

Journal of Affective Disorders

View full text Add to dashboard Cite

HighlightsFour distinct depressive & 5 distinct anxious symptom trajectories were identified.Most were distinguishable by session 3 but two depressive trajectories were not.Determining “not on track” status at session 3 may lead to missing late-responders.Baseline severity, functioning and diagnosis predicted some trajectories.Identifying likely trajectories could inform decision-making and optimise care.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trajectories of depression and anxiety symptom change during psychological therapy

Saunders

Buckman

Cape

et al. 2019

Journal of Affective Disorders

View full text Add to dashboard Cite

show abstract

“…Other work suggests that dispositional negativity can promote mental illness by increasing the likelihood of experiences (e.g., loneliness, difficulty adjusting to university) and events (e.g., conflict, divorce, sickness) that, themselves, confer risk for internalizing illness in vulnerable individuals ( disposition → stressor × disposition → psychopathology ) (Abdellaoui et al, 2018; Clarke et al, 2018; Credé & Niehorster, 2012; Hengartner et al, 2018; Howland, Armeli, Feinn, & Tennen, 2017; Jocklin, McGue, & Lykken, 1996; Klimstra, Noftle, Luyckx, Goossens, & Robins, 2018; Matthews et al., in press; Overstreet, Berenz, Kendler, Dick, & Amstadter, 2017; Serrat, Villar, Pratt, & Stukas, 2018; Shackman et al, 2016c; Soto, in press ; Tackett & Lahey, 2017). Among individuals with a history of internalizing illness, higher levels of dispositional negativity are associated with a greater number of diagnoses and a more pessimistic prognosis (e.g., Buckman et al, 2018; Bufferd et al, 2016; Hengartner, Kawohl, Haker, Rossler, & Ajdacic-Gross, 2016b; Shackman et al, 2016c; Spinhoven et al, 2016; Struijs et al, 2018).…”

Section: The Nature Consequences and Neurobiology Of Dispositional mentioning

confidence: 99%

Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework

Hur

Stockbridge

Fox

et al. 2019

Progress in Brain Research

View full text Add to dashboard Cite

When extreme, anxiety can become debilitating. Anxiety disorders, which often first emerge early in development, are common and challenging to treat, yet the underlying mechanisms have only recently begun to come into focus. Here, we review new insights into the nature and biological bases of dispositional negativity, a fundamental dimension of childhood temperament and adult personality and a prominent risk factor for the development of pediatric and adult anxiety disorders. Converging lines of epidemiological, neurobiological, and mechanistic evidence suggest that dispositional negativity increases the likelihood of psychopathology via specific neurocognitive mechanisms, including attentional biases to threat and deficits in executive control. Collectively, these observations provide an integrative translational framework for understanding the development and maintenance of anxiety disorders in adults and youth and set the stage for developing improved intervention strategies.

show abstract

“…Social anxiety disorder is among the most prevalent mental illnesses; contributes to the development of other psychiatric disorders, such as depression; and is challenging to treat (Schneier et al ., 1992; Rodebaugh et al ., 2004; Acarturk et al ., 2009; Mathew et al ., 2011; Neubauer et al ., 2013; Craske et al ., 2017; Stein et al ., 2017). Relapse and recurrence are common, and pharmaceutical treatments are associated with significant adverse effects (Bruce et al ., 2005; Rhebergen et al ., 2011; Scholten et al ., 2013, 2016; Gordon and Redish, 2016; Spinhoven et al ., 2016; Batelaan et al ., 2017). Yet the situational factors that govern the momentary experience and expression of social anxiety in the real world remain incompletely understood.…”

Section: Introductionmentioning

confidence: 99%

Social context and the real-world consequences of social anxiety

et al. 2019

View full text Add to dashboard Cite

BackgroundSocial anxiety lies on a continuum, and young adults with elevated symptoms are at risk for developing a range of psychiatric disorders. Yet relatively little is known about the factors that govern the hour-by-hour experience and expression of social anxiety in the real world.MethodsHere we used smartphone-based ecological momentary assessment (EMA) to intensively sample emotional experience across different social contexts in the daily lives of 228 young adults selectively recruited to represent a broad spectrum of social anxiety symptoms.ResultsLeveraging data from over 11 000 real-world assessments, our results highlight the central role of close friends, family members, and romantic partners. The presence of such close companions was associated with enhanced mood, yet socially anxious individuals had fewer confidants and spent less time with the close companions that they do have. Although higher levels of social anxiety were associated with a general worsening of mood, socially anxious individuals appear to derive larger benefits – lower levels of negative affect, anxiety, and depression – from their close companions. In contrast, variation in social anxiety was unrelated to the amount of time spent with strangers, co-workers, and acquaintances; and we uncovered no evidence of emotional hypersensitivity to these less-familiar individuals.ConclusionsThese findings provide a framework for understanding the deleterious consequences of social anxiety in emerging adulthood and set the stage for developing improved intervention strategies.

show abstract

Prediction of 6-yr symptom course trajectories of anxiety disorders by diagnostic, clinical and psychological variables

Cited by 51 publications

References 36 publications

Trajectories of depression and anxiety symptom change during psychological therapy

Trajectories of depression and anxiety symptom change during psychological therapy

Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework

Social context and the real-world consequences of social anxiety

Contact Info

Product

Resources

About