RESUMO
Distress Tolerance (DT) is a transdiagnostic risk and maintenance factor implicated in a wide range of internalizing spectrum (INT) disorders. DT is commonly conceptualized as a higher-order construct, yet its lower-order dimensions are still debated. While the tolerance of negative emotions, frustration, and physical discomfort are widely considered to be central features of DT, the inclusions of intolerance of uncertainty (IU) and anxiety sensitivity (AS) are disputed. This study is the first to compare the two leading hierarchical models of DT directly. We also propose and test a DT model which includes IU and AS as lower-order dimensions. This "combined" model drew from the prior hierarchical theories and subsequent research demonstrating IU and AS to be highly correlated. To evaluate the competing models of DT, structured equation modeling was used to construct latent models representing each leading model and our novel "combined" model. A clinical sample was analyzed (N = 278), with participants having completed self-report scales measuring DT's theorized lower-order dimensions. Of the proposed models, the "combined" model demonstrated the best fit indices in the context of INT. A regression model with our "combined" model indicated that even after its shared variance with the Distress Intolerance Index (DII) was removed, it still had a moderate association with INT (ß = 0.805, p < .01). This suggests that the only extant measure of the higher-order DT construct, the DII, fails to capture considerable variance in its latent structure. Future directions are discussed.
Assuntos
Ansiedade , Estresse Psicológico , Humanos , Análise de Classes Latentes , Estresse Psicológico/psicologia , Ansiedade/psicologia , Transtornos de Ansiedade/psicologia , Autorrelato , IncertezaRESUMO
Objectives: We sought to estimate reliable change thresholds for the Montreal Cognitive Assessment (MoCA) for older adults with suspected Idiopathic Normal Pressure Hydrocephalus (iNPH). Furthermore, we aimed to determine the likelihood that shunted patients will demonstrate significant improvement on the MoCA, and to identify possible predictors of this improvement. Methods: Patients (N = 224) presenting with symptoms of iNPH were given a MoCA assessment at their first clinic visit, and also before and after tap test (TT) or extended lumbar drainage (ELD). Patients who were determined to be good candidates for shunts (N = 71, 31.7%) took another MoCA assessment following shunt insertion. Reliable change thresholds for MoCA were derived using baseline visit to pre-TT/ELD assessment using nine different methodologies. Baseline characteristics of patients whose post-shunt MoCA did and did not exceed the reliable change threshold were compared. Results: All nine of reliable change methods indicated that a 5-point increase in MoCA would be reliable for patients with a baseline MoCA from 16 to 22 (38.4% of patients). Furthermore, a majority of reliable change methods indicated that a 5-point increase in MoCA would be reliable for patients with a baseline MoCA from 14 to 25. Reliable change thresholds varied across methods from 4 to 7 points for patients outside of this range. 10.1% had at least a 5-point increase from baseline to post-TT/ELD. Compared to patients who did not receive a shunt, patients who received a shunt did not have lower average MoCA at baseline (p = 0.88) or have better improvement in MoCA scores after the tap test (p = 0.17). Among shunted patients, 23.4% improved by at least 5 points on the MoCA from baseline to post-shunt. Time since onset of memory problems and post-TT/ELD gait function were the only clinical factors significantly associated with having a reliable change in MoCA after shunt insertion (p = 0.019; p = 0.03, respectively). Conclusions: In patients with iNPH, clinicians could consider using a threshold of 5 points for determining whether iNPH-symptomatic patients have experienced cognitive benefits from cerebrospinal fluid drainage at an individual level. However, a reliable change cannot be detected for patients with a baseline MoCA of 26 or greater, necessitating a different cognitive assessment tool for these patients.