Prevalence of Knee Radiographic Symptomatic Osteoarthritis and Ultrasound Features Across Sex and Body Mass Index Groups: The Johnston County Health Study

OBJECTIVE: To quantify general population prevalence, and differences by sex and BMI, in ultrasound (US) features of knee osteoarthritis (KOA), patient-reported knee symptoms (Ksx), radiographic KOA (rKOA), and symptomatic KOA (sxKOA). METHODS: Participants from the Johnston County Health Study (2019-2024; n=902) provided demographic, clinical, and imaging data. Ksx was defined as self-reported pain, aching or stiffness on most days of any one month in the past 12 months. rKOA was defined as Kellgren-Lawrence grade ≥2 (or total knee replacement (TKR)), severe rKOA as grades 3-4 (or TKR), and sxKOA as rKOA and Ksx in the same knee. Standardized US scoring was performed as previously reported. Weighted prevalence estimates and 95% confidence intervals (CI) for Ksx, rKOA, sxKOA, severe rKOA, and US features were calculated overall and by sex and BMI category. RESULTS: Among 902 participants (67% female; 66% non-Hispanic white, mean age 55 years, and BMI 33 kg/m²), the weighted prevalence of Ksx, rKOA, sxKOA, and severe rKOA were 61%, 36%, 27%, and 21%, respectively, all higher (based on non-overlapping CIs) than baseline estimates from the Johnston County Osteoarthritis Project and other cohorts. Ksx, rKOA, sxKOA, and severe rKOA were higher among females and those with obesity. Compared to females with obesity, those with severe obesity had higher prevalence of all radiographic outcomes at moderate and severe grades with non-overlapping CI. US effusion and synovitis were more prevalent in males, whereas medial and lateral cartilage damage were more common in females. With increasing obesity, osteophytes and medial cartilage damage were more prevalent, while gryescale effusion was actually less frequent. CONCLUSION: KOA prevalence continues to increase in the population. Sex and BMI differences in KOA prevalence and US features were most pronounced among females with severe obesity. Distinguishing between sexes and by obesity levels may improve understanding of KOA mechanisms and guide tailored prevention and treatment strategies.

Authors

Institutions

Publication Details

Journal
Osteoarthritis and Cartilage
Published
2026-09-01
DOI
https://doi.org/10.1016/j.joca.2026.08.012
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

Prevalence of Knee Radiographic Symptomatic Osteoarthritis and Ultrasound Features Across Sex and Body Mass Index Groups: The Johnston County Health Study

Yvonne M. Golightly, Katherine A. Yates, Minna J. Kohler, Carolina Álvarez et al.
Osteoarthritis and Cartilage
Osteoarthritis Treatment and Mechanisms
article

Prevalence of Knee Radiographic Symptomatic Osteoarthritis and Ultrasound Features Across Sex and Body Mass Index Groups: The Johnston County Health Study

Yvonne M. Golightly, Katherine A. Yates, Minna J. Kohler, Carolina Álvarez, Todd A. Schwartz, Serena Savage‐Guin, Jordan B. Renner, Amanda E. Nelson, Janice Lin, Tessa Walker, Catherine Bakewell, Maya Patel, Jonathan Samuels
article en

Abstract

OBJECTIVE: To quantify general population prevalence, and differences by sex and BMI, in ultrasound (US) features of knee osteoarthritis (KOA), patient-reported knee symptoms (Ksx), radiographic KOA (rKOA), and symptomatic KOA (sxKOA). METHODS: Participants from the Johnston County Health Study (2019-2024; n=902) provided demographic, clinical, and imaging data. Ksx was defined as self-reported pain, aching or stiffness on most days of any one month in the past 12 months. rKOA was defined as Kellgren-Lawrence grade ≥2 (or total knee replacement (TKR)), severe rKOA as grades 3-4 (or TKR), and sxKOA as rKOA and Ksx in the same knee. Standardized US scoring was performed as previously reported. Weighted prevalence estimates and 95% confidence intervals (CI) for Ksx, rKOA, sxKOA, severe rKOA, and US features were calculated overall and by sex and BMI category. RESULTS: Among 902 participants (67% female; 66% non-Hispanic white, mean age 55 years, and BMI 33 kg/m²), the weighted prevalence of Ksx, rKOA, sxKOA, and severe rKOA were 61%, 36%, 27%, and 21%, respectively, all higher (based on non-overlapping CIs) than baseline estimates from the Johnston County Osteoarthritis Project and other cohorts. Ksx, rKOA, sxKOA, and severe rKOA were higher among females and those with obesity. Compared to females with obesity, those with severe obesity had higher prevalence of all radiographic outcomes at moderate and severe grades with non-overlapping CI. US effusion and synovitis were more prevalent in males, whereas medial and lateral cartilage damage were more common in females. With increasing obesity, osteophytes and medial cartilage damage were more prevalent, while gryescale effusion was actually less frequent. CONCLUSION: KOA prevalence continues to increase in the population. Sex and BMI differences in KOA prevalence and US features were most pronounced among females with severe obesity. Distinguishing between sexes and by obesity levels may improve understanding of KOA mechanisms and guide tailored prevention and treatment strategies.

Osteoarthritis and Cartilage
Intermountain Healthcare (US), University of North Carolina at Chapel Hill (US), University of North Carolina Health Care (US), Harvard University (US), The Ohio State University Wexner Medical Center (US), NYU Langone Health (US), Massachusetts General Hospital (US), Stanford Health Care (US), University of Nebraska Medical Center (US)
Novo Nordisk, National Institutes of Health, Centers for Disease Control and Prevention, National Institute of Arthritis and Musculoskeletal and Skin Diseases
Openalex Percentile: Top 10%
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.