Association between living environmental quality and body pain in middle-aged and older adults: a national study in China

Cumulative environmental exposures independently predict pain incidence among middle-aged and older adults in China. Targeted upgrades to the living environment could reduce pain burdens, informing healthy aging policies in China and similar settings.

Authors

Institutions

Publication Details

Journal
Archives of Public Health
Published
2025-10-03
DOI
https://doi.org/10.1186/s13690-025-01732-y
Citations
1
Primary Topic
Fibromyalgia and Chronic Fatigue Syndrome Research
Type
article
Field-Weighted Citation Impact
1.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between living environmental quality and body pain in middle-aged and older adults: a national study in China

Rui Liu, Xin Zhao, Shuanglong Hou
1 citations
Archives of Public Health
Fibromyalgia and Chronic Fatigue Syndrome Research
1.47
article

Association between living environmental quality and body pain in middle-aged and older adults: a national study in China

Rui Liu, Xin Zhao, Shuanglong Hou
article en
1 citations

Abstract

Cumulative environmental exposures independently predict pain incidence among middle-aged and older adults in China. Targeted upgrades to the living environment could reduce pain burdens, informing healthy aging policies in China and similar settings.

Archives of Public HealthVol. 83(1)
Tang Du Hospital (CN), Air Force Medical University (CN)
Openalex Percentile: Top 15%
Fibromyalgia and Chronic Fatigue Syndrome Research
1.47
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.