Resistance-to-care behaviors and associated factors among people with dementia in nursing homes based on latent profile analysis and user personas

BackgroundResistance-to-care behaviors are prevalent among people with Alzheimer's disease and related dementia (ADRD), significantly impeding care delivery and causing distress for residents and care workers. However, knowledge regarding scenario-specific resistance-to-care patterns in Chinese nursing homes remains limited.ObjectiveTo identify latent profiles and personas of resistance-to-care behaviors among people with ADRD in Chinese nursing homes and examine associations with background and interpersonal factors based on the need-driven dementia-compromised behavior model.MethodsThis cross-sectional study recruited 574 people with ADRD from six Chinese nursing homes between March 2023 and March 2024. Data on sociodemographics, care worker-initiated communication, resistance-to-care behaviors, cognitive function, functional independence, depression, and pain were collected. Zero-inflated Poisson mixture models identified latent profiles. Personas were developed as group-level summaries integrating profile-defining resistance-to-care patterns with associated descriptive characteristics. Multivariate logistic regression examined factors associated with profile membership.ResultsFour profiles and personas emerged: stable collaborators (low-resistance profile, 77.0%), mealtime resisters (eating-resistance-dominant profile, 6.6%), bathing defenders (bathing-resistance-dominant profile, 13.8%), and high-resistance care responders (high-resistance profile, 2.6%). Eating- and bathing-resistance-dominant profiles were associated with lower cognitive function and absence of care worker-initiated communication during corresponding activities. The high-resistance profile was associated with greater depression and pain.ConclusionsThis study identified latent resistance-to-care profiles and personas, elucidating relationships between background factors, interpersonal factors, and resistance-to-care behaviors. Findings support a culturally informed, scenario-specific framework for dementia care and highlight the potential relevance of regular cognitive monitoring, culturally adapted communication strategies, and systematic depression and pain management for addressing resistance-to-care behaviors.

Authors

Institutions

Publication Details

Journal
Journal of Alzheimer s Disease
Published
2026-10-28
DOI
https://doi.org/10.1177/13872877261498244
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Resistance-to-care behaviors and associated factors among people with dementia in nursing homes based on latent profile analysis and user personas

Hongtao Cheng, Xiulian Zhang, H. Li, Tingting Xie et al.
3 links
Journal of Alzheimer s Disease
Dementia and Cognitive Impairment Research
article

Resistance-to-care behaviors and associated factors among people with dementia in nursing homes based on latent profile analysis and user personas

Hongtao Cheng, Xiulian Zhang, H. Li, Tingting Xie, Xiyan Xie, Min Liu, Bei Wu, Jun-e Zhang, Xiwen Wang, Xinyu Chen, Jie Jiang
article en

Abstract

BackgroundResistance-to-care behaviors are prevalent among people with Alzheimer's disease and related dementia (ADRD), significantly impeding care delivery and causing distress for residents and care workers. However, knowledge regarding scenario-specific resistance-to-care patterns in Chinese nursing homes remains limited.ObjectiveTo identify latent profiles and personas of resistance-to-care behaviors among people with ADRD in Chinese nursing homes and examine associations with background and interpersonal factors based on the need-driven dementia-compromised behavior model.MethodsThis cross-sectional study recruited 574 people with ADRD from six Chinese nursing homes between March 2023 and March 2024. Data on sociodemographics, care worker-initiated communication, resistance-to-care behaviors, cognitive function, functional independence, depression, and pain were collected. Zero-inflated Poisson mixture models identified latent profiles. Personas were developed as group-level summaries integrating profile-defining resistance-to-care patterns with associated descriptive characteristics. Multivariate logistic regression examined factors associated with profile membership.ResultsFour profiles and personas emerged: stable collaborators (low-resistance profile, 77.0%), mealtime resisters (eating-resistance-dominant profile, 6.6%), bathing defenders (bathing-resistance-dominant profile, 13.8%), and high-resistance care responders (high-resistance profile, 2.6%). Eating- and bathing-resistance-dominant profiles were associated with lower cognitive function and absence of care worker-initiated communication during corresponding activities. The high-resistance profile was associated with greater depression and pain.ConclusionsThis study identified latent resistance-to-care profiles and personas, elucidating relationships between background factors, interpersonal factors, and resistance-to-care behaviors. Findings support a culturally informed, scenario-specific framework for dementia care and highlight the potential relevance of regular cognitive monitoring, culturally adapted communication strategies, and systematic depression and pain management for addressing resistance-to-care behaviors.

Journal of Alzheimer s Disease
Sun Yat-sen University (CN), New York University Shanghai (CN)
Good health and well-being
Openalex Percentile: Top 12%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon