ORCID Profile
0000-0003-3538-2312
Current Organisation
Anhui Medical University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 03-2022
DOI: 10.1016/J.JOCA.2021.11.015
Abstract: To describe the effect of knee symptoms and radiographic osteoarthritis (ROA) on the risk of falls, recurrent falls, and fractures. Participants from the Osteoarthritis Initiative were classified as having 'no', 'unilateral' or 'bilateral' knee symptoms (≥19 on a 0-96 Western Ontario and McMaster Universities Osteoarthritis Index) and ROA (Kellgren-Lawrence grade ≥2) for each visit. Self-reported falls and fractures in the past 12 months were extracted at baseline and follow-up visits until month 96. Recurrent falls were defined as having ≥2 falls in the past 12 months. Hazard ratios (HR) with 95% confidence intervals (CI) were estimated using mixed-effects complementary log-log regression. Of 4465 participants, 3145 (70%), 1681 (38%), and 806 (18%) experienced at least one fall, recurrent fall, and fracture, respectively, over 96 months. Compared to participants without symptomatic knee, unilateral and bilateral knee symptoms were associated with a 17% increased risk of falls and a 36-46% increased risk of recurrent falls, and bilateral knee symptoms increased the risk of fractures (HR 1.45, 95%CI 1.17 to 1.81). Compared to participants with no ROA in either knee, bilateral ROA was associated with a reduced risk of falls (HR 0.87, 95%CI 0.77 to 0.99) and fractures (HR 0.78, 95%CI 0.64 to 0.96). No statistically significant interactions between knee symptoms and ROA were observed. This large population-based study showed that knee symptoms but not ROA increased the risk of falls, recurrent falls, and fractures, and that adults with bilateral ROA may have a lower risk of falls and fractures.
Publisher: Wiley
Date: 31-07-2023
Abstract: Physical inactivity is an independent risk factor for type 2 diabetes (T2D). Osteoarthritis (OA) is a common joint disease that limits patients' physical activity, which may increase risk of other chronic diseases including T2D. However, studies evaluating the effect of OA on T2D are scarce. This study aimed to investigate the causal effect of knee and hip OA on risk of T2D from a genetic perspective. We performed two‐s le Mendelian randomization (MR) analyses to obtain nonconfounding estimates of the effect of OA on T2D risk. Single nucleotide polymorphisms (SNPs) from genome‐wide association studies were selected as genetic instruments for radiographic knee and hip OA (ie, Kellgren–Lawrence grade ≥2). The associations of these SNPs with T2D were evaluated in participants from the UK Biobank. Sensitivity analyses were conducted to test the robustness of the MR results. Genetic predisposition of knee but not hip OA was significantly associated with an increased risk of T2D (knee OA: odds ratio [OR] 1.18, 95% confidence interval (CI) 1.09–1.27, p .001 hip OA: OR 1.04, 95% CI 0.94–1.16, p = .425). Sensitivity analyses showed that the main findings are robust. The current study provides genetic evidence supporting that knee OA is a potential risk factor for T2D.
Publisher: Wiley
Date: 06-05-2023
DOI: 10.1002/ACR.25127
Abstract: To investigate the relationship between sleep disturbance, catastrophizing, and knee pain in middle‐aged and older in iduals. Data from the Osteoarthritis Initiative cohort from months 48 to 96 were used, where month 48 was treated as baseline. Knee pain (Western Ontario and McMaster Universities Osteoarthritis Index pain scale score ≥5 [range 0–20]), catastrophizing (extracted from Coping Strategies Questionnaire score ≥3 [range 0–6]), and sleep quality (extracted from Center for Epidemiologic Studies Depression Scale [range 1–4]) were assessed annually. We described the association of sleep disturbance with the presence and risk of knee pain and catastrophizing. The mediation effect of knee pain and catastrophizing on the sleep–catastrophizing and sleep–pain association was evaluated, respectively. Catastrophizing and knee pain were reported in 346 (10%) and 917 (24%) of the 3,813 participants (mean 64.9 years, 58% female) at baseline. Participants with worse sleep disturbance were more likely to have knee pain (prevalence ratio [PR] 1.4–2.0, P for trend .001) and catastrophizing (PR 1.4–3.1, P for trend .001). Sleep disturbance at baseline predicted the risk of knee pain (risk ratio [RR] 1.1, P for trend .001) and catastrophizing (RR 1.2–1.7, P for trend .001) during follow‐up. No statistically significant interactions between sleep disturbance and knee pain or catastrophizing were observed. Knee pain and catastrophizing mediated the sleep–catastrophizing and sleep–pain association, respectively, at baseline, and knee pain negatively mediated the sleep–catastrophizing association longitudinally. Sleep disturbance was associated with the presence and risk of catastrophizing and knee pain. Sleep interventions may have a universal and independent effect in preventing incident knee pain.
Publisher: Elsevier BV
Date: 07-2023
Publisher: Oxford University Press (OUP)
Date: 10-07-2023
DOI: 10.1093/PM/PNAD097
Abstract: Frailty is a multisystem syndrome and its relationship with symptomatic osteoarthritis has been reported. We aimed to identify trajectories of knee pain in a large prospective cohort and to describe the effect of frailty status at baseline on the pain trajectories over 9 years. We included 4419 participants (mean age 61.3 years, 58% female) from the Osteoarthritis Initiative cohort. Participants were classified as “no frailty,” “pre-frailty,” or “frailty” at baseline, based on 5 characteristics (ie, unintentional weight loss, exhaustion, weak energy, slow gait speed, and low physical activity). Knee pain was evaluated annually using the Western Ontario and McMaster Universities Osteoarthritis Index pain subscale (0–20) from baseline to 9 years. Of the participants included, 38.4%, 55.4%, and 6.3% were classified as “no frailty,” “pre-frailty,” and “frailty,” respectively. Five pain trajectories were identified: “No pain” (n = 1010, 22.8%), “Mild pain” (n = 1656, 37.3%), “Moderate pain” (n = 1149, 26.0%), “Severe pain” (n = 477, 10.9%), and “Very Severe pain” (n = 127, 3.0%). Compared to participants with no frailty, those with pre-frailty and frailty were more likely to have more severe pain trajectories (pre-frailty: odds ratios [ORs] 1.5 to 2.1 frailty: ORs 1.5 to 5.0), after adjusting for potential confounders. Further analyses indicated that the associations between frailty and pain were mainly driven by exhaustion, slow gait speed, and weak energy. Approximately two-thirds of middle-aged and older adults were frail or pre-frail. The role of frailty in predicting pain trajectories suggests that frailty may be an important treatment target for knee pain.
No related grants have been discovered for Yining Wang.