Beyond restless sleep: A cross-sectional study of obstructive sleep apnea risk, aging biomarkers, and chronic low back pain

This secondary data analysis aimed to determine the nature of the relationship between obstructive sleep apnea (OSA) risk, biological age acceleration, and nonspecific chronic low back pain (CLBP). In total, 199 adults aged 18-82 years who filled both STOPBANG and pain questionnaires subsetted for secondary analysis. Based on the STOPBANG questionnaire, 104 had a low OSA risk and 95 had an intermediate or high OSA risk. Dunedin Pace of Aging Computed from the Epigenome (DunedinPACE), Horvath's, Hannum's, PhenoAge, and GrimAge clocks were used to determine biological age and pace of biological aging. Individuals with low OSA risk reported increased DunedinPACE compared to those with intermediate/high OSA risk (<i>p</i> < 0.001). There was a significant correlation between the risk for OSA and biological age acceleration measured by PhenoAge as well as pace of biological aging (<i>p</i> < 0.05). Mediation analysis detected indirect effects of OSA risk on chronic pain outcomes through the pace of biological aging. Targeted interventions addressing OSA risk offers a promising therapeutic strategy. This could be particularly valuable for aging populations where both accelerated biological aging and chronic pain conditions are prevalent, offering a more holistic approach to improving nonspecific chronic pain outcomes through quality of sleep and restfulness.

Authors

Institutions

Publication Details

Journal
Molecular Pain
Published
2026-02-17
DOI
https://doi.org/10.1177/17448069261427979
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond restless sleep: A cross-sectional study of obstructive sleep apnea risk, aging biomarkers, and chronic low back pain

Shivraj Grewal, Asia M. Wiggins, Khalid Freij, Edwin N. Aroke et al.
Molecular Pain
Obstructive Sleep Apnea Research
article

Beyond restless sleep: A cross-sectional study of obstructive sleep apnea risk, aging biomarkers, and chronic low back pain

Shivraj Grewal, Asia M. Wiggins, Khalid Freij, Edwin N. Aroke, Burel R. Goodin, Walid Wajih Freij, Shameka L. Cody, Demario S. Overstreet, Kiari R Kinnie, Michael A. Owens, Philemon Domoyeri
article en

Abstract

This secondary data analysis aimed to determine the nature of the relationship between obstructive sleep apnea (OSA) risk, biological age acceleration, and nonspecific chronic low back pain (CLBP). In total, 199 adults aged 18-82 years who filled both STOPBANG and pain questionnaires subsetted for secondary analysis. Based on the STOPBANG questionnaire, 104 had a low OSA risk and 95 had an intermediate or high OSA risk. Dunedin Pace of Aging Computed from the Epigenome (DunedinPACE), Horvath's, Hannum's, PhenoAge, and GrimAge clocks were used to determine biological age and pace of biological aging. Individuals with low OSA risk reported increased DunedinPACE compared to those with intermediate/high OSA risk (<i>p</i> < 0.001). There was a significant correlation between the risk for OSA and biological age acceleration measured by PhenoAge as well as pace of biological aging (<i>p</i> < 0.05). Mediation analysis detected indirect effects of OSA risk on chronic pain outcomes through the pace of biological aging. Targeted interventions addressing OSA risk offers a promising therapeutic strategy. This could be particularly valuable for aging populations where both accelerated biological aging and chronic pain conditions are prevalent, offering a more holistic approach to improving nonspecific chronic pain outcomes through quality of sleep and restfulness.

Molecular PainVol. 22
University of Alabama (US), Washington University in St. Louis (US), University of Alabama at Birmingham (US), Sheehan Medical (United States) (US)
Good health and well-being
Openalex Percentile: Top 51%
Obstructive Sleep Apnea 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.