Relationship between symptom severity, psychiatric comorbidity, social/occupational impairment, and suicidality in hoarding disorder

Archer, Christian; Moran, Kyara; Garza, Karen; Zakrzewski, Jessica; Martin, Angela; Chou, Charles C.-K.; Uhm, Soo Y.; Chan, Joanne; Gause, Michael; Salazar, Mark; Plumadore, Julian; Smith, Lauren C.; Komaiko, Kiya; Howell, Gillian; Vigil, Ofilio; Bain, D. J. G.; Stark, Sandra; Mackin, R. Scott; Eckfield, Monika; Vega, Eduardo; Tsoh, Janice Y.; Delucchi, Kevin; Mathews, Carol A.

doi:10.1016/j.jocrd.2018.11.001

Cited by 23 publications

(16 citation statements)

References 45 publications

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“…For articles that reported only age ranges, means/ SD s were requested, which were provided by Steketee, Schmalisch, Dierberger, DeNobel, and Frost (); Tolin et al (); and Samuels et al (, ). Requested data were unavailable for Frost and Gross (), Archer et al (), Dozier et al (), and Ayers et al () due to the age of the study or the method with which the data were collected (e.g., questions specifically about age ranges of onset). For these studies, the means and SD s were imputed as described below.…”

Section: Resultsmentioning

confidence: 99%

“…Three articles did not report means or SD s. The first, Archer et al () provided four age ranges of onset: Younger than 12 ( n =108; 34%); 12–18 ( n = 31; 10%): 19–30 ( n = 74; 23%); 30–60 ( n = 103; 33%). The following formula was used to estimate the mean:

\bar{x} \approx \frac{\sum_{i = 1}^{k} x f}{\sum_{i = 1}^{k} f},

where x is the midpoint in a range, and f is the frequency count.…”

Section: Resultsmentioning

confidence: 99%

“…Next, the study authors contacted researchers for unpublished or new data via email and through the 25th Annual International Obsessive–Compulsive Disorder Conference's (IOCDF) Hoarding Interest Group. Archer et al () provided unpublished data from a manuscript in preparation that are included in this meta‐analysis. In total, 24 published studies and one unpublished study were included in the present review.…”

Section: Methodsmentioning

confidence: 99%

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Hoarding: A meta‐analysis of age of onset

et al. 2019

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Hoarding disorder is present in 2-6% of the population and can have an immense impact on the lives of patients and their families. Before its inclusion the Diagnostic and Statistical Manual of Mental Disorders, 5th edition, pathological hoarding was often characterized as a symptom of obsessive-compulsive disorder, and several different diagnostic assessment methods were used to identify and characterize it. Although the age of onset of pathological hoarding is an important epidemiological measure, as clarifying the age of onset of hoarding symptoms may allow for early identification and implementation of evidence-based treatments before symptoms become clinically significant, the typical age of onset of hoarding is still uncertain. To that end, this study is a systematic review and meta-analysis of research published in English between the years 1900 and 2016 containing information on age of onset of hoarding symptoms. Twenty-five studies met inclusion criteria. The mean age of onset of hoarding symptoms across studies was 16.7 years old, with evidence of a bimodal distribution of onset. The authors conclude by discussing practice implications for early identification and treatment.

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Section: Resultsmentioning

confidence: 99%

\bar{x} \approx \frac{\sum_{i = 1}^{k} x f}{\sum_{i = 1}^{k} f},

where x is the midpoint in a range, and f is the frequency count.…”

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Hoarding: A meta‐analysis of age of onset

et al. 2019

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“…We found that, over and above the effects of depression and/or anxiety, there was substantial evidence for an effect of hoarding on visual processing for some, but not all, of the VEPs identified by our permutation analysis. However, hoarding disorder is highly comorbid with both mood and anxiety disorders (Archer et al., 2019; Frost et al., 2011), and is also characterized by self‐reported deficits in emotional regulation and heightened emotional reactivity (Shaw et al., 2015; Tolin et al., 2018). These comorbidities also appear to have an impact on visual processing among individuals with hoarding disorder.…”

Section: Discussionmentioning

confidence: 99%

“…We also hypothesized that these earlier time course disruptions in N1, N2, and/or P2 would be directly related to even later time course disruptions as the visual information becomes integrated in additional cognitive processes. Finally, we hypothesized that at least some of the altered ERPs found to be associated with hoarding in this study would be independent of the effects of age, and of depressive and anxiety symptoms, which clinically are found to co‐occur with hoarding disorder at high rates (Archer et al., 2019).…”

Section: Introductionmentioning

confidence: 94%

Electrophysiological dynamics of visuocortical processing in hoarding disorder

2020

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Individuals with hoarding disorder (HD) typically perform worse than peers on neuropsychological tasks involving visual perception. Functional neuroimaging shows diffusely increased activity in the visual cortex, consistent with inefficient visual processing in HD. The temporal locus of these inefficiencies in HD is unknown. This study examined the temporal unfolding of visual event‐related brain potentials (ERPs) to help better define the neurophysiological mechanisms underlying visual dysfunction in HD. Thirty‐three individuals with HD and 35 healthy controls (HC) were assessed using a 64‐channel EEG during a modified flanker task. Permutation‐controlled analyses were conducted to detect group differences in visual evoked ERPs on a millisecond‐to‐millisecond basis. Bayesian ANCOVAs and linear regressions that included hoarding and age were conducted to identify the best‐fit model for the identified VEPs, compared to a null model that included depression and anxiety severity. Three temporal regions (175 ms, 270 ms, and 440 ms), showed differences in amplitude between HD and HC and were consistent with ERP components N1, P1/N2, and a late negative slow wave (LNSW), respectively. After controlling for depression and anxiety, HD demonstrated an enhanced ERP amplitude at N1 and an attenuated amplitude in LNSW compared to HC but did not show differences at P1/N2. For the N1 and LNSW, there was also a primary effect of the interaction between hoarding and age. This study indicates that altered visuocortical reactivity in HD first occurs at the level of visuocortical processing after 170 ms, indicating alterations of middle and later, but not early, processing in occipitotemporal visual cortex.

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