TY - JOUR
T1 - Knee pain trajectories over 18 months in non-Hispanic Black and non-Hispanic White adults with or at risk for knee osteoarthritis
AU - Johnson, Alisa J.
AU - Vasilopoulos, Terrie
AU - Booker, Staja Q.
AU - Cardoso, Josue
AU - Terry, Ellen L.
AU - Powell-Roach, Keesha
AU - Staud, Roland
AU - Kusko, Daniel A.
AU - Addison, Adriana S.
AU - Redden, David T.
AU - Goodin, Burel R.
AU - Fillingim, Roger B.
AU - Sibille, Kimberly T.
N1 - Funding Information:
Research funding and support provided by NIH/NIA Grants R01AG054370 (KTS); R37AG033906 (RBF) and UF CTSA Grant UL1TR001427 and UAB CTSA Grant UL1TR001417 from the NIH Center for Advancing Translational Sciences; NIH/NIAMS K23AR076463–01 and NIH/NIMHD L60MD014496 (SQB); NIH/NINDS 4K22NS102334–03 and NIH/NIA 1P30AG059297 provided to the University of Florida and McKnight Brain Institute Career Development Award (ELT), minority supplement provided to the University of Florida (JSC). Data management was funded in part by NCATS grant UL1TR000064. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - Background: Pain is the hallmark symptom of knee osteoarthritis (OA), and varies widely across individuals. Previous research has demonstrated both fluctuating and stable pain trajectories in knee OA using various time periods. Changes in pain assessed quarterly (i.e. 3-month intervals) in knee OA are relatively unknown. The current study aimed to investigate temporal variations in pain over a one and a half year period (18 months) based on quarterly characteristic pain assessments, and to examine differences in pain patterns by sociodemographic and baseline pain characteristics. Methods: The sample included a prospective cohort of 188 participants (mean age 58 years; 63% female; 52% non-Hispanic Black) with or at risk for knee OA from an ongoing multisite investigation of ethnic/race group differences. Knee pain intensity was self-reported at baseline and quarterly over an18-month period. Baseline pain assessment also included frequency, duration, and total number of pain sites. Group-based trajectory modeling was used to identify distinct pain trajectories. Multinomial logistic regression was used to examine associations between sociodemographic characteristics, risk factors, and pain trajectory groups. Results: Pain trajectories were relatively stable among a sample of adults with knee pain. Four distinct pain trajectories emerged in the overall sample, with the largest proportion of participants (35.1%) classified in the moderate-high pain group. There were significant relationships between age, education, income, ethnicity/race and trajectory group; with younger, less educated, lower income, and non-Hispanic Black participants had a greater representation in the highest pain trajectory group. Conclusions: Pain remained stable across a one and a half-year period in adults with or at risk for knee osteoarthritis, based on quarterly assessments. Certain sociodemographic variables (e.g. ethnicity/race, education, income, age) may contribute to an increased risk of experiencing greater pain.
AB - Background: Pain is the hallmark symptom of knee osteoarthritis (OA), and varies widely across individuals. Previous research has demonstrated both fluctuating and stable pain trajectories in knee OA using various time periods. Changes in pain assessed quarterly (i.e. 3-month intervals) in knee OA are relatively unknown. The current study aimed to investigate temporal variations in pain over a one and a half year period (18 months) based on quarterly characteristic pain assessments, and to examine differences in pain patterns by sociodemographic and baseline pain characteristics. Methods: The sample included a prospective cohort of 188 participants (mean age 58 years; 63% female; 52% non-Hispanic Black) with or at risk for knee OA from an ongoing multisite investigation of ethnic/race group differences. Knee pain intensity was self-reported at baseline and quarterly over an18-month period. Baseline pain assessment also included frequency, duration, and total number of pain sites. Group-based trajectory modeling was used to identify distinct pain trajectories. Multinomial logistic regression was used to examine associations between sociodemographic characteristics, risk factors, and pain trajectory groups. Results: Pain trajectories were relatively stable among a sample of adults with knee pain. Four distinct pain trajectories emerged in the overall sample, with the largest proportion of participants (35.1%) classified in the moderate-high pain group. There were significant relationships between age, education, income, ethnicity/race and trajectory group; with younger, less educated, lower income, and non-Hispanic Black participants had a greater representation in the highest pain trajectory group. Conclusions: Pain remained stable across a one and a half-year period in adults with or at risk for knee osteoarthritis, based on quarterly assessments. Certain sociodemographic variables (e.g. ethnicity/race, education, income, age) may contribute to an increased risk of experiencing greater pain.
KW - Chronic pain
KW - Ethnicity/race
KW - Health disparity
KW - Knee joint
KW - Osteoarthritis
KW - Pain trajectory
UR - http://www.scopus.com/inward/record.url?scp=85105527753&partnerID=8YFLogxK
U2 - 10.1186/s12891-021-04284-8
DO - 10.1186/s12891-021-04284-8
M3 - Article
C2 - 33952243
AN - SCOPUS:85105527753
SN - 1471-2474
VL - 22
JO - BMC Musculoskeletal Disorders
JF - BMC Musculoskeletal Disorders
IS - 1
M1 - 415
ER -