Hoarding: A meta-analysis of age of onset

'Not my mess'?: How do supporters of individuals with hoarding difficulties rate the quality of the support they offer?

OBJECTIVES

Hoarding difficulties (HD) affect many people and cause upset and danger for the person, as well as friends and family. Previous research found that people with HD feel less adequately socially supported compared with individuals with obsessive compulsive disorder (OCD). This study used the perspective of those offering support to infer whether people with HD view their support differently, or if there is a gap in support quality compared with those with OCD.

DESIGN

The design was cross-sectional, comparing those supporting OCD with those supporting HD.

METHODS

An online questionnaire was completed by 116 people offering support (POS) to people with these conditions. Support quality was measured using an adapted, proxy version of the Revised Norbeck Social Support Questionnaire. The research hypothesized that POS(HD) would not differ on support ratings compared with POS(OCD); or that POS(HD) would report comparatively lower ratings across support components. Secondary analysis investigated group differences in stigmatized attitudes and associative stigma; internalized stigma by virtue of having a connection to a stigmatized individual.

RESULTS

POS(HD) rated their wish to support and the perceived success as significantly lower. Public stigma was rated more highly by POS(HD) relative to POS(OCD) and associative stigma felt more acutely by POS(HD).

CONCLUSIONS

Motivation to support was significantly lower in the HD group with associative stigma a significant predictive factor. Further research involving dyads is needed to investigate what is causing this shortfall in support. Clinical research for HD interventions should also examine how involving POS could enhance treatment outcomes.

Decluttering Minds: Psychological interventions for hoarding disorder - A systematic review and meta-analysis

BACKGROUND

Cognitive Behavioural Therapy (CBT) is conventionally considered the primary intervention for Hoarding Disorder (HD), yet various psychological interventions have recently emerged. This study, pre-registered at Prospero (CRD42023427534), aims to comprehensively assess a range of psychological interventions, including CBT, for reducing HD symptomatology.

METHODS

A systematic literature search using PubMed and SCOPUS identified 41 eligible studies comprising 47 samples (N = 1343). Risk of bias for RCTs was assessed using the Cochrane RoB2 tool, and methodological quality for all studies was evaluated using the Psychotherapy Outcome Study Methodology Rating Form (POMRF).

RESULTS

Pre-post effects revealed a large reduction in HD symptomatology (g = -1.09), sustained at follow-up in 18 studies (g = -1.12, N = 588). Additionally, 8 Randomized Controlled Trials (RCTs) demonstrated a substantial end-of-trial reduction in HD symptoms compared to controls (g = -0.75). Meta-regression found no moderating effects for: demographics, medication use, number of treatment sessions, or study quality. Similarly, no differences were observed between group and individual therapy, therapy with or without home visits, or CBT versus other psychological interventions.

CONCLUSION

This study confirms psychological therapies are effective in reducing hoarding symptoms, while indicating no superiority for CBT. Despite the benefits, symptoms often persist above the clinical cut-off for HD, highlighting the enduring clinical challenges in achieving symptomatic remission. The findings underscore the need to address methodological limitations and possible age and gender bias in future research to enhance the efficacy and inclusivity of psychological interventions for HD.

How accurately can supervised machine learning model predict a targeted psychiatric disorder?

BACKGROUND

Hoarding disorder (HD) is characterized by a compulsion to collect belongings, and to experience significant distress when parting from them. HD is often misdiagnosed for several reasons. These include patient and family lack of recognition that it is a psychiatric disorder and professionals' lack of relevant expertise with it. This study evaluates the ability of a supervised machine learning (ML) model to match the diagnostic skills of psychiatrists when presented with equivalent information pertinent to symptoms of HD.

METHODS

Five hundred online participants were randomly recruited and completed the Hoarding Rating Scale-Self Report (HRS-SR) and the Generalized Anxiety Disorder 7-item (GAD-7) scale. Responses to the questionnaires were read by an ML model. Responses to the HRS-SR were then converted into anonymized, random-equivalent texts. Each of these individual texts was presented in random order to two experienced psychiatrists who were independently asked for a provisional diagnosis - e.g.; the presence or absence of HD. In case of disagreement between the two assessors, a third psychiatrist broke the tie. A decision tree classification model was employed to predict clinical HD using self-report data from two psychological tests, the HRS-SR and GAD-7. The target variable was whether a participant had clinical HD, while the predictive variables were the continuous scores from the HRS-SR and GAD-7 tests. The model's performance was evaluated using a confusion matrix, which compared the observed diagnoses with the predicted diagnoses to assess accuracy.

RESULTS

According to the psychiatrists, approximately 10% of the participants fulfilled DSM-5 diagnostic criteria for HD. 93% of the clinician-identified cases were identified by the ML model based on HRS-SR and GAD-7 scores. A decision tree plot model demonstrated that about 60% of the cases could be detected by the HRS-SR alone while the rest required a combination of HRS-SR and GAD-7 scores. ML evaluation metrics showed satisfactory performance, with a Matthews Correlation Coefficient of 55%; Area Under Curve (AUC), 79%; a Negative Predictive Value of 76%; and a False Negative Rate of 24%.

CONCLUSIONS

Study findings strongly suggest that ML can, in the future, play a significant role in the risk assessment of psychiatric disorders prior to face-to-face consultation. By using AI to scan big data questionnaire responses, wait time for seriously ill patients can be substantially cut, and prognoses substantially improved.

Rates of diagnosis and service utilization in veterans with hoarding disorder

Hoarding Disorder (HD) is a prominent and disabling neuropsychiatric condition defined by the inability to discard objects resulting in impairing levels of clutter. The prevalence rate is 2-6 % and increases with age. The aging Veteran population is a high risk group for impairment associated with HD. Medical and psychiatric comorbidities as well as associated rates of disability and poor quality of life are very common in both HD and the related disorder of OCD. We examined rates of HD and OCD diagnoses at the VA San Diego Healthcare System. Data were obtained from medical records for all Veterans with these diagnoses over 8-years and included information on medical and psychiatric care, homelessness services, and Care Assessment Needs (CAN) scores. Rates of diagnosis for both HD and OCD were well below epidemiological estimates. Veterans with HD were older, had higher rates of medical hospital admissions with longer stays; had more cardiac, neurological, and acquired medical conditions; had more psychiatric comorbidities; had more interactions with the suicide prevent team and homelessness services; and had higher CAN scores than Veterans with OCD. The low rate of diagnosis and high services utilization of Veterans with HD demonstrates an area of unmet need.

Childhood environmental unpredictability and hoarding: Mediating roles of attachment and security

Life history theory provides a unified perspective for understanding human behaviors as adaptive strategies to specific environmental conditions. Within this theoretical framework, hoarding emerges as a behavior reflecting an evolved strategy in response to unpredictable environmental challenges, serving as a buffer against resource scarcity and enhancing survival prospects. This study aimed to explore the key roles of childhood environmental unpredictability, attachment, and sense of security in the development of hoarding. 662 participants completed scales on childhood environmental unpredictability, Revised Experiences in Close Relationships (ECR-R), sense of insecurity, and Savings Inventory-Revised (SI-R). The results showed that childhood environmental unpredictability was significantly positively correlated with hoarding. Attachment anxiety and sense of security individually mediate the effect of childhood environmental unpredictability on hoarding. Additionally, 'attachment anxiety--sense of security' and 'attachment avoidance--sense of security' serve as chain mediators in this relationship separately. This study offers insights into the cognitive-behavioral model of hoarding, highlighting the importance of life history theory in examining childhood environmental unpredictability's relationship with hoarding. It also integrates insights from the psychosocial acceleration theory into our comprehension of hoarding's development. Future research directions are also discussed.

Hoarding behaviour: special features and complications in real-world clinical practice

OBJECTIVE

Hoarding behaviour is a common but poorly characterised problem in real-world clinical practice. Although hoarding behaviour is the key component of Hoarding Disorder (HD), there are people who exhibit hoarding behaviour but do not suffer from HD. The aim of the present study was to characterise a clinical sample of patients with clinically relevant hoarding behaviour and evaluate the differential characteristics between patients with and without HD.

METHODS

This study included patients who received treatment at the home visitation program in Barcelona (Spain) from January 2013 through December 2020, and scored ≥ 4 on the Clutter Image Rating scale. Sociodemographic, DSM-5 diagnosis, clinical data and differences between patients with and without an HD diagnosis were assessed.

RESULTS

A total of 243 subjects were included. Hoarding behaviour had been unnoticed in its early stages and the median length in the sample was 10 years (IQR 15). 100% of the cases had hoarding-related complications. HD was the most common diagnosis in 117 patients (48.1%).

CONCLUSIONS

The study found several differential characteristics between patients with and without HD diagnosis. Alcohol use disorder could play an important role among those without HD diagnosis. Home visitation programs could improve earlier detection, preventing hoarding-related complications.

The Neurobiological Underpinnings of Obsessive-Compulsive Symptoms in Psychosis, Translational Issues for Treatment-Resistant Schizophrenia

Almost 25% of schizophrenia patients suffer from obsessive-compulsive symptoms (OCS) considered a transdiagnostic clinical continuum. The presence of symptoms pertaining to both schizophrenia and obsessive-compulsive disorder (OCD) may complicate pharmacological treatment and could contribute to lack or poor response to the therapy. Despite the clinical relevance, no reviews have been recently published on the possible neurobiological underpinnings of this comorbidity, which is still unclear. An integrative view exploring this topic should take into account the following aspects: (i) the implication for glutamate, dopamine, and serotonin neurotransmission as demonstrated by genetic findings; (ii) the growing neuroimaging evidence of the common brain regions and dysfunctional circuits involved in both diseases; (iii) the pharmacological modulation of dopaminergic, serotoninergic, and glutamatergic systems as current therapeutic strategies in schizophrenia OCS; (iv) the recent discovery of midbrain dopamine neurons and dopamine D1- and D2-like receptors as orchestrating hubs in repetitive and psychotic behaviors; (v) the contribution of N-methyl-D-aspartate receptor subunits to both psychosis and OCD neurobiology. Finally, we discuss the potential role of the postsynaptic density as a structural and functional hub for multiple molecular signaling both in schizophrenia and OCD pathophysiology.

Glutamatergic neurons and GABAergic neurons of medial prefrontal cortex control hoarding-like behavior

Hoarding disorder (HD) is a chronic disease that begins early in life and does not remission unless timely treated. A large number of factors affect the presentation of HD symptoms, including a strong possessive psychology of objects and neurocognitive functioning. However, the underlying neural mechanisms of the excessive hoarding behavior in HD are still unknown. Using viral infections and brain slice electrophysiology recordings, we found that increased glutamatergic neuronal activity and decreased GABAergic neuronal activity in medial prefrontal cortex (mPFC) accelerated the hoarding-like behavior in mice. Respectively, chemogenetic manipulation to reduce glutamatergic neuronal activity or enhance GABAergic neuronal activity could improve the hoarding-like behavioral response. These results reveal a critical role played by alterations in the activity of specific types of neurons in hoarding-like behavior, and that targeted therapies for HD may be possible by precisely modulating these types of neurons.

Hoarding Disorder: The Current Evidence in Conceptualization, Intervention, and Evaluation

Hoarding disorder is characterized by difficulty parting with possessions due to strong urges to save the items, leading to the excessive accumulation of items. High clutter levels result in varied personal, social, and legal consequences. Specialized treatments, including individual, virtual, and group cognitive and behavioral therapies, community-based interventions, and peer support approaches have shown preliminary effectiveness. Animal, attachment, and neurobiological models are expanding our understanding of the etiological bases of the disorder. Specialized populations such as children, older adults, and involuntary patients are highlighted as requiring special consideration for intervention and risk mitigation. Directions for future research are identified.

Cognitive impairment in hoarding disorder: a systematic review

OBJECTIVE

In the present study, we aimed to perform a systematic review evaluating the cognitive performance of patients with hoarding disorder (HD) compared with controls. We hypothesized that HD patients would present greater cognitive impairment than controls.

METHODS

A systematic search of the literature using the electronic databases MEDLINE, SCOPUS, and LILACS was conducted on May 2020, with no date limit. The search terms were "hoarding disorder," "cognition," "neuropsychology," "cognitive impairment," and "cognitive deficit." We included original studies assessing cognitive functioning in patients with HD.

RESULTS

We retrieved 197 studies initially. Of those, 22 studies were included in the present study. We evaluated 1757 patients who were 41 to 72 years old. All selected studies comprised case-control studies and presented fair quality. Contrary to our hypothesis, HD patients showed impairment only in categorization skills in comparison with controls, particularly at confidence to complete categorization tasks. Regarding attention, episodic memory, working memory, information-processing speed, planning, decision-making, inhibitory control, mental flexibility, language, and visuospatial ability, HD patients did not show impairment when compared with controls. There is a paucity of studies on social cognition in HD patients, although they may show deficits. The impact of emotion in cognition is also understudied in HD patients.

CONCLUSION

Except for categorization skills, the cognitive performance in HD patients does not seem to be impaired when compared with that in controls. Further work is needed to explore social cognition and the impact of emotion in cognitive performance in HD patients.

Age at onset of mental disorders worldwide: large-scale meta-analysis of 192 epidemiological studies

Promotion of good mental health, prevention, and early intervention before/at the onset of mental disorders improve outcomes. However, the range and peak ages at onset for mental disorders are not fully established. To provide robust, global epidemiological estimates of age at onset for mental disorders, we conducted a PRISMA/MOOSE-compliant systematic review with meta-analysis of birth cohort/cross-sectional/cohort studies, representative of the general population, reporting age at onset for any ICD/DSM-mental disorders, identified in PubMed/Web of Science (up to 16/05/2020) (PROSPERO:CRD42019143015). Co-primary outcomes were the proportion of individuals with onset of mental disorders before age 14, 18, 25, and peak age at onset, for any mental disorder and across International Classification of Diseases 11 diagnostic blocks. Median age at onset of specific disorders was additionally investigated. Across 192 studies (n = 708,561) included, the proportion of individuals with onset of any mental disorders before the ages of 14, 18, 25 were 34.6%, 48.4%, 62.5%, and peak age was 14.5 years (k = 14, median = 18, interquartile range (IQR) = 11-34). For diagnostic blocks, the proportion of individuals with onset of disorder before the age of 14, 18, 25 and peak age were as follows: neurodevelopmental disorders: 61.5%, 83.2%, 95.8%, 5.5 years (k = 21, median=12, IQR = 7-16), anxiety/fear-related disorders: 38.1%, 51.8%, 73.3%, 5.5 years (k = 73, median = 17, IQR = 9-25), obsessive-compulsive/related disorders: 24.6%, 45.1%, 64.0%, 14.5 years (k = 20, median = 19, IQR = 14-29), feeding/eating disorders/problems: 15.8%, 48.1%, 82.4%, 15.5 years (k = 11, median = 18, IQR = 15-23), conditions specifically associated with stress disorders: 16.9%, 27.6%, 43.1%, 15.5 years (k = 16, median = 30, IQR = 17-48), substance use disorders/addictive behaviours: 2.9%, 15.2%, 48.8%, 19.5 years (k = 58, median = 25, IQR = 20-41), schizophrenia-spectrum disorders/primary psychotic states: 3%, 12.3%, 47.8%, 20.5 years (k = 36, median = 25, IQR = 20-34), personality disorders/related traits: 1.9%, 9.6%, 47.7%, 20.5 years (k = 6, median = 25, IQR = 20-33), and mood disorders: 2.5%, 11.5%, 34.5%, 20.5 years (k = 79, median = 31, IQR = 21-46). No significant difference emerged by sex, or definition of age of onset. Median age at onset for specific mental disorders mapped on a time continuum, from phobias/separation anxiety/autism spectrum disorder/attention deficit hyperactivity disorder/social anxiety (8-13 years) to anorexia nervosa/bulimia nervosa/obsessive-compulsive/binge eating/cannabis use disorders (17-22 years), followed by schizophrenia, personality, panic and alcohol use disorders (25-27 years), and finally post-traumatic/depressive/generalized anxiety/bipolar/acute and transient psychotic disorders (30-35 years), with overlap among groups and no significant clustering. These results inform the timing of good mental health promotion/preventive/early intervention, updating the current mental health system structured around a child/adult service schism at age 18.

Elevated levels of hoarding in ADHD: A special link with inattention

Hoarding Disorder (HD) is under recognised and under-treated. Though HD develops by early adulthood, patients present only later in life, resulting in research based largely on samples of predominantly older females. Whilst formerly associated with Obsessive-Compulsive Disorder (OCD), it is now recognised that individuals with HD often have inattention symptoms reminiscent of Attention Deficit/Hyperactivity Disorder (ADHD). Here, we investigated HD in adults with ADHD. Patients in an ADHD clinic (n = 88) reported on ADHD, HD and OCD-related symptoms, and compared with age, gender and education matched controls (n = 90). Findings were assessed independently in an online UK sample to verify replication using a dimensional approach (n = 220). Clinically significant hoarding symptoms were found in ∼20% versus 2% of ADHD and control groups, respectively, with those with hoarding being on average in their thirties and with approximately half being male. Greater hoarding severity was noted even in the remaining patients compared with controls (d = 0.89). Inattention was the only significant statistical predictor of hoarding severity in patients. Similarly, inattention, alongside depression and anxiety were the greatest predictors of hoarding in the independent sample where 3.2% identified as having clinically significant hoarding. Patients with ADHD had a high frequency of hoarding symptoms, which were specifically linked to inattention. HD should be routinely assessed in individuals with ADHD, as they do not typically disclose associated difficulties, despite these potentially leading to impaired everyday functioning. Research in HD should also investigate adults with ADHD, who are younger and with a greater prevalence of males than typical HD samples.

Interpersonal attachment, early family environment, and trauma in hoarding: A systematic review

The formation of intense emotional attachments to objects, difficulty parting with possessions, and the extreme accumulation of clutter are key features of Hoarding Disorder (HD). Although substantial literature implicates processes such as dysfunctional beliefs and maladaptive emotional cycles in HD, little is known about the vulnerability factors that lead to their development and hoarding symptomatology. The current review sought to systematically collate and integrate findings from studies investigating the relationship between hoarding symptoms and three proposed vulnerability factors: i) interpersonal attachment, ii) early family environment, and iii) traumatic or adverse life events. A comprehensive search of the databases PsycInfo, PubMed, and Scopus identified a total of 39 studies for inclusion. The results presented a complex pattern that supported the presence of relationships between insecure attachment, cold and controlling family experiences, and exposure to adverse life events with increased hoarding severity. However, the specificity of these factors to HD over other clinical groups remains unclear and findings are limited by the heterogenous and small number of studies. We conclude by discussing the clinical implications and limitations of these findings and propose new directions for future research.

Hoarding Disorder: Development in Conceptualization, Intervention, and Evaluation

Hoarding disorder is characterized by difficulty parting with possessions because of strong urges to save the items. Difficulty discarding often includes items others consider to be of little value and results in accumulation of a large number of possessions that clutter the home. Cognitive-behavioral therapy (CBT) with exposure and response prevention and selective serotonin reuptake inhibitor medications traditionally used to treat obsessive-compulsive disorder are generally not efficacious for people with hoarding problems. A specialized CBT approach for hoarding has shown progress in reaching treatment goals and has been modified to be delivered in group, peer-facilitated, and virtual models. Research on hoarding remains in the early phases of development. Animal, attachment, and genetic models are expanding. Special populations, such as children, older adults, and people who do not voluntarily seek treatment need special consideration for intervention. Community-based efforts aimed at reducing public health and safety consequences of severe hoarding are needed.

Investigating executive functions in youth with OCD and hoarding symptoms

Executive functions (EF) deficits are hypothesized to be a core contributor to hoarding symptoms. EF have been studied in adult hoarding populations, but studies in youth are lacking. The current study compared multiple EF subdomains between youth with obsessive-compulsive disorder (OCD) and youth with OCD and hoarding symptoms. Forty youth (8-18 years old) with a primary diagnosis of OCD were recruited. Participants were divided by hoarding severity on the Child Saving Inventory (CSI) into either the "hoarding group" (upper 33.3%) or the "low-hoarding group" (lower 66.7%). Groups were compared on EF tasks of cognitive flexibility, decision-making, and inhibitory control. Youth in the hoarding group exhibited significantly higher cognitive flexibility and lowered perseveration than the low-hoarding group. Hoarding and low-hoarding groups did not differ in any other EF subdomain. Hoarding symptoms in youth with OCD were not associated with deficits in EF subdomains; instead, youth who hoard exhibited higher cognitive flexibility compared to youth with low hoarding symptoms.

Determinants of object choice and object attachment: Compensatory consumption in compulsive buying-shopping disorder and hoarding disorder

BACKGROUND AND AIMS

Individuals who meet criteria for compulsive buying-shopping disorder (i.e., acquiring problems only) or hoarding disorder (i.e., acquiring and discarding problems) may acquire possessions to compensate for unmet belonging needs, but may do so in different ways. Those with compulsive buying-shopping disorder may acquire objects that they believe will relieve the distress associated with unmet belonging needs (e.g., objects that distract or comfort), whereas those with hoarding disorder may acquire objects that they believe achieve belonging needs (e.g., objects that have interpersonal connotations). Accordingly, this study examined whether a belongingness threat would drive individuals who excessively acquire possessions to choose a human-like object (person-shaped tea holder) or a comfort item (box of chamomile tea).

METHODS

One hundred seventy-five participants (57 self-reported excessive acquiring only; 118 self-reported excessive acquiring and difficulty discarding) recalled a time when they either felt supported or unsupported by a significant other before choosing an object to take home with them. Participants rated how anthropomorphic and comforting the objects were as well as how attached they became to their chosen object.

RESULTS

Unsupported individuals were more likely to acquire the comfort item than supported individuals; however, individuals with both acquiring and discarding problems were more likely to acquire the human-like item than those with an acquiring problem only. Comfort and anthropomorphism ratings predicted object choice and attachment.

DISCUSSIONS AND CONCLUSION

The current findings extend the Compensatory Consumer Behavior Model to include what factors determine strategy choice and object attachment.

How well do hoarding research samples represent cases that rise to community attention?

This study used archival data from three different research groups and case file data from three independent community organizations to explore how well research samples reflect cases of hoarding that come to community attention. Using data from 824 individuals with hoarding, we found that research volunteers differ from community clients in several ways: community clients are older, more likely to be male and less likely to be partnered; they have lower socio-economic status and are less likely to demonstrate good or fair insight regarding hoarding severity and consequences. The homes of community clients had greater clutter volume and were more likely to have problematic conditions in the home, including squalor and fire hazards or fire safety concerns. Clutter volume was a strong predictor of these conditions in the home, but demographic variables were not. Even after accounting for the influence of clutter volume, the homes of community-based clients were more likely to have squalor. These findings suggest limitations on the generalizability of research samples to hoarding as it is encountered by community agencies.