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Article detail · 2024

Subsyndromes and symptom clusters: Multilevel factor analysis of behavioral and psychological symptoms of dementia with intensive longitudinal data

Journal

ALZHEIMERS & DEMENTIA

ISSN 1552-5260

The ISSN points to another catalog journal; the name is from the YÖKSİS record.

YÖKSİS OpenAlex Open access · hybrid SJR Q1 JCR Q1 Citations 9 Top 10% Percentile 90.3% FWCI 2.45
Year
2024
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue ALZHEIMERS & DEMENTIA
  • Catalog match (ISSN) Alzheimer's and Dementia
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

English (OpenAlex)

INTRODUCTION: Behavioral and psychological symptoms in dementia (BPSD) are dynamic phenomena with a high amount of intraindividual variability. We applied a multilevel framework to identify subsyndromes (between-person factors) that represent clinically relevant profiles of BPSD and identify symptom clusters (within-person factors) that represent contextually driven daily symptom experiences. METHODS: This study used an intensive longitudinal design in which 68 co-residing family caregivers to persons living with dementia were recruited to proxy report on their care recipient's daily symptom experiences of 23 different BPSD for eight consecutive days (n = 443 diaries). A multilevel exploratory/confirmatory factor analysis was used to account for nested data and separate within-person variances from between-level factor estimates. RESULTS: Exploratory factor analysis identified a 4-between 3-within factor structure based on fit statistics and clinical interpretability. DISCUSSION: This study offers major methodological and conceptual advancements for management of BPSD within Alzheimer's disease and related dementias by introducing two related but distinct concepts of subsyndromes and symptom clusters. HIGHLIGHTS: Because behavioral and psychological symptoms of dementia (BPSD) are dynamic temporal phenomenon, this introduces measurement error into aggregate group-level estimates when trying to create subsyndromes. We propose a multilevel analysis to provide a more valid and reliable estimation by separating out variance due to within-person daily fluctuations. Using a multilevel exploratory factor analysis with intensive longitudinal data, we identified distinct and meaningful groups of BPSD. The four factors at the between-person level represented subsyndromes that are based on how BPSD co-occurred among persons with Alzheimer's disease (AD). These subsyndromes are clinically relevant because they share features of established clinical phenomena and may have similar neurobiological etiologies. We also found three within-person factors representing distinct symptom clusters. They are based on how BPSD clustered together on a given day for an individual with AD and related dementias. These clusters may have shared environmental triggers.

Topics

  • Dementia and Cognitive Impairment Research
  • Mental Health Research Topics
  • Reliability and Agreement in Measurement

Primary topic Dementia and Cognitive Impairment Research

Authors

  1. Carolyn Pickering
  2. Vicki Winstead
  3. MUSTAFA YILDIZ AMASYA ÜNİVERSİTESİ
  4. Danny Wang
  5. Maria Yefimova
  6. Andrew M. Pickering