An unsupervised cluster analysis of multimorbidity patterns in older adults in Shenzhen, China

The study found that multimorbidity is prevalent among the older adult in Shenzhen and explored their patterns, suggesting that Shenzhen should enhance screening and integrated management of high-risk groups and implement public health interventions to alleviate the multimorbidity burden.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2025-06-06
DOI
https://doi.org/10.3389/fpubh.2025.1557721
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An unsupervised cluster analysis of multimorbidity patterns in older adults in Shenzhen, China

Jing Guo, Peiyi Liu, Xiaolong Guo, Naiwen Zhang et al.
1 links
Frontiers in Public Health
Chronic Disease Management Strategies
article

An unsupervised cluster analysis of multimorbidity patterns in older adults in Shenzhen, China

Jing Guo, Peiyi Liu, Xiaolong Guo, Naiwen Zhang, Jianjun Liu, Dan Guo, Zheng‐Hua Tan, Haiyan Huang
article en

Abstract

The study found that multimorbidity is prevalent among the older adult in Shenzhen and explored their patterns, suggesting that Shenzhen should enhance screening and integrated management of high-risk groups and implement public health interventions to alleviate the multimorbidity burden.

Frontiers in Public HealthVol. 13
Shenzhen University (CN), Shenzhen Center for Disease Control and Prevention (CN), Shenzhen University Health Science Center (CN)
Openalex Percentile: Top 81%
Chronic Disease Management Strategies
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.