Associations between biomarkers, muscle function, dynapenia status, fall risk, depressive symptoms, and sleep quality in patients with lower limb osteoarthritis: a cross-sectional study

Lower limb osteoarthritis is common in older adults. It is associated with pain, functional decline, and psychological distress, all of which can impair sleep. However, few studies have comprehensively examined the biological, functional, and psychosocial factors associated with sleep quality in this population. The present cross-sectional study explored the associations between sleep quality and sociodemographic characteristics, biomarkers, muscle function, dynapenia, fall risk, and depressive symptoms in older adults with lower limb osteoarthritis scheduled for joint replacement surgery. Statistical analyses included chi-square or Fisher’s exact tests for categorical variables (e.g., sex, marital status, and education level), independent-samples t-tests or Mann–Whitney U tests for continuous variables (e.g., biomarkers, gait time, and fall risk scores), and multivariable logistic regression analyses to identify factors independently associated with poor sleep quality. Among the 114 participants, 55.3% had poor sleep quality. Poor sleep quality was more prevalent among women, participants who were widowed or divorced, and those with lower educational attainment. In the bivariate analyses, compared with participants with good sleep quality, those with poor sleep quality had lower hemoglobin (Hb) levels (12.66 ± 1.31 vs. 13.59 ± 1.38 g/dL), lower glycated hemoglobin (HbA1c) levels (5.79 ± 0.89 vs. 6.15 ± 0.66%), higher C-reactive protein (CRP) levels (0.27 ± 0.59 vs. 0.12 ± 0.15 mg/dL), longer 6-meter gait times (9.93 ± 6.03 vs. 7.91 ± 4.29 s), and higher fall risk scores (9.21 ± 4.49 vs. 7.02 ± 3.76). Multivariable logistic regression analysis revealed that lower Hb levels (odds ratio [OR] = 0.64, 95% confidence interval [CI] = 0.45–0.91), lower HbA1c levels (OR = 0.57, 95% CI = 0.33–0.99), and higher fall risk scores (OR = 1.14, 95% CI = 1.02–1.28) were independently associated with poor sleep quality. Sleep quality in older adults with lower limb osteoarthritis is associated with multiple biological, functional, and sociodemographic domains. Lower Hb levels, lower HbA1c levels, and higher fall risk were independently associated with poorer sleep quality. These findings highlight the need for a multidimensional assessment approach for evaluating sleep quality in this population. Additional prospective and multicenter studies are required to confirm the observed associations before routine clinical implementation.

Authors

Institutions

Publication Details

Journal
BMC Geriatrics
Published
2026-08-19
DOI
https://doi.org/10.1186/s12877-026-08134-x
Primary Topic
Osteoarthritis Treatment and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations between biomarkers, muscle function, dynapenia status, fall risk, depressive symptoms, and sleep quality in patients with lower limb osteoarthritis: a cross-sectional study

Shu‐Fang Chang, Kuan‐Wen Wu, Shu-Tsun Lin
BMC Geriatrics
Osteoarthritis Treatment and Mechanisms
article

Associations between biomarkers, muscle function, dynapenia status, fall risk, depressive symptoms, and sleep quality in patients with lower limb osteoarthritis: a cross-sectional study

Shu‐Fang Chang, Kuan‐Wen Wu, Shu-Tsun Lin
article en

Abstract

Lower limb osteoarthritis is common in older adults. It is associated with pain, functional decline, and psychological distress, all of which can impair sleep. However, few studies have comprehensively examined the biological, functional, and psychosocial factors associated with sleep quality in this population. The present cross-sectional study explored the associations between sleep quality and sociodemographic characteristics, biomarkers, muscle function, dynapenia, fall risk, and depressive symptoms in older adults with lower limb osteoarthritis scheduled for joint replacement surgery. Statistical analyses included chi-square or Fisher’s exact tests for categorical variables (e.g., sex, marital status, and education level), independent-samples t-tests or Mann–Whitney U tests for continuous variables (e.g., biomarkers, gait time, and fall risk scores), and multivariable logistic regression analyses to identify factors independently associated with poor sleep quality. Among the 114 participants, 55.3% had poor sleep quality. Poor sleep quality was more prevalent among women, participants who were widowed or divorced, and those with lower educational attainment. In the bivariate analyses, compared with participants with good sleep quality, those with poor sleep quality had lower hemoglobin (Hb) levels (12.66 ± 1.31 vs. 13.59 ± 1.38 g/dL), lower glycated hemoglobin (HbA1c) levels (5.79 ± 0.89 vs. 6.15 ± 0.66%), higher C-reactive protein (CRP) levels (0.27 ± 0.59 vs. 0.12 ± 0.15 mg/dL), longer 6-meter gait times (9.93 ± 6.03 vs. 7.91 ± 4.29 s), and higher fall risk scores (9.21 ± 4.49 vs. 7.02 ± 3.76). Multivariable logistic regression analysis revealed that lower Hb levels (odds ratio [OR] = 0.64, 95% confidence interval [CI] = 0.45–0.91), lower HbA1c levels (OR = 0.57, 95% CI = 0.33–0.99), and higher fall risk scores (OR = 1.14, 95% CI = 1.02–1.28) were independently associated with poor sleep quality. Sleep quality in older adults with lower limb osteoarthritis is associated with multiple biological, functional, and sociodemographic domains. Lower Hb levels, lower HbA1c levels, and higher fall risk were independently associated with poorer sleep quality. These findings highlight the need for a multidimensional assessment approach for evaluating sleep quality in this population. Additional prospective and multicenter studies are required to confirm the observed associations before routine clinical implementation.

BMC Geriatrics
National Taipei University of Nursing and Health Science (TW), National Taiwan University Hospital (TW)
National Taiwan University Hospital
Good health and well-being
Openalex Percentile: Top 9%
Osteoarthritis Treatment and Mechanisms
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.