Objective: Pain phenotypes (PP) have been identified across different stages of knee osteoarthritis (KOA) and understanding the stability of PPs prior to the development of symptomatic KOA can help to inform preventative strategies. We aimed to identify PPs and their transitions in people without radiographic KOA and profile participant characteristics.
Design: Data from 5 - (T1), 7- (T2) and 12-year (T3) visits from the Multicenter Osteoarthritis Study (MOST) were used. Individuals with Kellgren-Lawrence grade 0 and knee pain ≤30/100 at T1 were sampled. PP variables included pressure pain thresholds, temporal summation (with method changed at T3), depressive symptoms, pain catastrophizing, sleep quality, and widespread pain. Latent Transition Analysis using Bayesian Information Criteria informed class numbers and transitions. Unconstrained, constrained, and modified constrained models (conditional response probabilities fixed for indicator variables except for TS) were compared for fit. Participant characteristics were used to profile class membership.
Results: 348 individuals (59% females), mean age (SD): 59.3 (6.7) were included. The optimal model fit for data across T1-T3 was a "modified" constrained model with 3 classes (class 1: low pain burden, class 2: high pain sensitization, class 3: high psychological burden). Classes were similar over time except for the increased probability of TS at T3. Most (86%) participants remained in the same class; only 14% transitioned overtime.
Conclusion: Distinct PPs were identified in those at risk of KOA that remained stable over time, suggesting these trait-like features may require consideration for comprehensive management of the symptom experience.
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http://dx.doi.org/10.1016/j.joca.2025.01.007 | DOI Listing |
JCPP Adv
March 2025
Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement (DECIPHer) School of Social Sciences Cardiff University Cardiff UK.
Background: Adolescence is a period of profound developmental change during which the prevalence of mental health problems starts to increase. It also typically coincides with a school transition. Understanding mental health trajectories through school transition is important to inform interventions to support young people's mental health during this period.
View Article and Find Full Text PDFOsteoarthritis Cartilage
March 2025
School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada. Electronic address:
Objective: Pain phenotypes (PP) have been identified across different stages of knee osteoarthritis (KOA) and understanding the stability of PPs prior to the development of symptomatic KOA can help to inform preventative strategies. We aimed to identify PPs and their transitions in people without radiographic KOA and profile participant characteristics.
Design: Data from 5 - (T1), 7- (T2) and 12-year (T3) visits from the Multicenter Osteoarthritis Study (MOST) were used.
ACS Nano
March 2025
School of Computing, Australian National University, Acton ACT 2601, Australia.
This Perspective discusses the application of advanced machine learning techniques to explore the latent relationships between the electrochemical performance and the environmental and socioeconomic impacts of modern nanomaterials fundamental to a carbon-neutral and sustainable future. Through the use of state-of-the-art algorithms, the aim is to make transparent the confluence of opaque factors that have resulted in the applications of nanomaterial research and development, for example, batteries, largely overlooking ecological and social consequences. We demonstrate how interpretable machine learning could uncover hidden patterns that inform more rational, holistic, and thus sustainable decision-making.
View Article and Find Full Text PDFJ Environ Sci (China)
August 2025
The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China. Electronic address:
Over the past century, advancements in chemistry have significantly propelled human innovation, enhancing both industrial and consumer products. However, this rapid progression has resulted in chemical pollution increasingly surpassing planetary boundaries, as production and release rates have outpaced our monitoring capabilities. To catalyze more impactful efforts, this study transitions from traditional chemical assessment to inverse chemical design, introducing a generative graph latent diffusion model aimed at discovering safer alternatives.
View Article and Find Full Text PDFPain Res Manag
March 2025
The University of Arizona College of Nursing, Tucson, Arizona, USA.
Chronic pain in knee osteoarthritis (OA) is a multidimensional phenomenon requiring thorough assessment and appropriate treatment. We assessed the impact of home-based, remotely supervised transcranial direct current stimulation (tDCS) on the overall pain experience of older adults with knee OA by simultaneously examining its effects on multiple pain domains-pain intensity, pain interference, and pain catastrophizing-using multigroup latent transition analysis (LTA). This secondary analysis of a randomized clinical trial involved 120 participants with knee OA pain, randomly assigned in a 1:1 ratio to receive 15 daily sessions of 2-mA tDCS or sham tDCS (20 min per session) over three weeks, with real-time remote supervision.
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