Evidence map›Paper›PMID 40642755›Full record

ArticlePsychiatry research communications2025

Classification of hoarding and comorbid neuropsychiatric symptoms.

Sara K Nutley, Catherine W Striley, Linda B Cottler, Joseph Eichenbaum, Rachel L Nosheny, R Scott Mackin, Carol A Mathews

Abstract read
In one paragraph

Article in Psychiatry research communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sara K NutleyUniversity of Florida, Department of Psychiatry, PO Box 100256, 1149 Newell Dr., L4-100, Gainesville, FL, 32611, USA.ORCID 0000-0001-9842-4909
Catherine W StrileyUniversity of Florida, Department of Epidemiology, PO Box 100231, Gainesville, FL, 32610, USA.
Linda B CottlerUniversity of Florida, Department of Epidemiology, PO Box 100231, Gainesville, FL, 32610, USA.
Joseph EichenbaumSan Francisco VA Medical Center, 4150 Clement Street, San Francisco, CA, 94121, USA.
Rachel L NoshenySan Francisco VA Medical Center, 4150 Clement Street, San Francisco, CA, 94121, USA.
R Scott MackinSan Francisco VA Medical Center, 4150 Clement Street, San Francisco, CA, 94121, USA.
Carol A MathewsUniversity of Florida, Department of Psychiatry, PO Box 100256, 1149 Newell Dr., L4-100, Gainesville, FL, 32611, USA.ORCID 0000-0003-2208-7058

Funding

Characterizing Cognitive Decline in Late Life Depression: The ADNI-D ProjectR01MH098062 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Robert Scott Mackin · 2013 to 2026
$9.1M
Predicting populations at-risk of developing pathological hoardingR01MH117114 · NIMH · UNIVERSITY OF FLORIDA · PI MACKIN, ROBERT SCOTT, MATHEWS, CAROL A · 2018 to 2022
$3.7M
The Brain Health Registry for facilitating interdisciplinary aging researchR33AG062867 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NOSHENY, RACHEL LAUREN · 2020 to 2024
$3.2M
The heterogeneity of hoarding behavior: characterizing disorder diversity to distinguish etiology and longitudinal symptom courseF31MH130109 · NIMH · UNIVERSITY OF FLORIDA · PI NUTLEY, SARA · 2023 to 2024
$72k
NIA NIH HHS R33 AG062867NIMH NIH HHS F31 MH130109NIMH NIH HHS R01 MH098062NIMH NIH HHS R01 MH117114
6 · The paper itself

Abstract

Background: Psychiatric comorbidity and self-reported cognitive dysfunction are common among individuals with hoarding disorder (HD). However, common patterns of co-occurring neuropsychiatric symptoms, and their potential impact on the clinical manifestation of hoarding, including functional impairment, are not well-established. Methods: Latent class analysis (LCA) was used to identify and characterize distinct neuropsychiatric symptom subgroups among 7606 adult internet-based research participants who reported experiencing social impairment due to household clutter. An additional 1129 participants who screened negative but had evidence of hoarding on additional assessment ("false negative") were identified and compared to the LCA-identified classes. Demographic and clinical characteristics associated with class membership were assessed. Results: The best fitting model yielded five subgroups, including three subgroups characterizing individuals with hoarding symptoms: "hoarding only" (12.1 %), hoarding with depressive symptoms ("depressed + hoarding"; 11.8 %), and hoarding with depressive symptoms, inattention, and subjective memory decline ("multisymptomatic"; 14.6 %). These subgroups fell along a continuum of increasing neuropsychiatric burden, with individuals in the "multisymptomatic" class experiencing the greatest deficits to general functional ability and cognitive functioning, as well as elevated rates of comorbid neuropsychiatric diagnoses. The "false negative" group was similar to the "hoarding only" class, although comprised of a significantly higher proportion of male participants and married individuals. Conclusions: Neuropsychiatric symptom patterns among individuals with hoarding are heterogenous in nature and uniquely associated with clinical features and functional outcomes. These findings may inform the development of targeted interventions for HD that include assessment and management of depressive symptoms, inattention, and memory.

Indexed as

Attention deficit hyperactivity disorderComorbidityDepressionHoarding disorderLatent class analysisMemory

Identifiers

PMID40642755
PMCPMC12245158

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.