DISCUSSION
To our knowledge, this is the first large-scale, population-based cohort study to examine the CV impact of knee OA in patients with T2DM.
Our findings yield three key insights. First, knee OA was independently associated with increased CVD risk after adjustment for sociodemographic, clinical, and diabetes-related factors. Second, this association was more pronounced among non-insulin users and those with a diabetes duration of less than 5 years, indicating greater vulnerability in earlier or less intensively managed stages of the disease. Third, both regular and intermittent physical activity were linked to significantly lower risks of CVD, MI, stroke, HF, and CV mortality—the greatest reduction observed for mortality. These findings underscore the protective effect of even modest exercise in this high-risk population.
T2DM, knee OA, and CVD are prevalent chronic conditions with substantial individual and societal burden. Their coexistence may exacerbate adverse outcomes, underscoring the importance of understanding their interrelationships to guide prevention strategies [
4].
T2DM is a well-established risk factor for CVD, leading to complications such as MI, stroke, and HF. This heightened risk stems from hyperglycemia, insulin resistance, systemic inflammation, and coexisting hypertension or dyslipidemia [
31–
33]. Although the OA–CVD relationship remains debated, multiple studies suggest an increased CVD risk among individuals with knee OA [
13,
34]. OA and CVD share common risk factors—hypertension, diabetes, dyslipidemia, and obesity—as supported by epidemiological evidence [
35,
36]. OA is also recognized as a chronic low-grade inflammatory condition contributing to endothelial dysfunction, insulin resistance, and atherogenesis [
37]. These mechanisms may underlie the amplified CVD risk when OA coexists with T2DM. Additionally, knee OA often limits physical activity—a modifiable CVD risk factor—due to associated muscle weakness and disability [
38,
39].
Our study found that T2DM patients with knee OA had a 27% higher risk of CVD compared to those without knee OA in the unadjusted analysis, suggesting that knee OA is a potential risk factor for CVD in individuals with T2DM. However, after adjusting for potential confounding factors, including comorbidities such as hypertension and dyslipidemia, the increased risk of CVD was attenuated but still remained significantly elevated at 11%. This indicates that knee OA is independently associated with an increased occurrence of CVD in T2DM patients, even after accounting for the higher baseline prevalence of comorbidities in the knee OA group.
Importantly, these adjusted estimates represent the direct effect of knee OA on CVD after accounting for physical activity and BMI. Because both may lie on the causal pathway, the total effect of OA could have been underestimated. To assess robustness, we calculated E-values (1.46–1.54 for CVD and stroke), suggesting that only moderately strong unmeasured confounding would suffice to fully explain the observed associations. Notably, baseline differences in exercise participation and BMI between OA and non-OA groups were modest in our cohort, suggesting that these mediators may account for part but not all of the observed association. Despite these considerations, the overall body of evidence—including meta-analyses—supports a robust association between OA and CV outcomes.
A growing body of evidence supports an association between OA and CVD. A meta-analysis of 49 studies reported that hip and knee OA were associated with increased risks of subclinical atherosclerosis (OR 1.15, 95% CI 1.01–1.31) and CVD (OR 1.13, 95% CI 1.05–1.22), but not with CV mortality (OR 1.08, 95% CI 0.99–1.19) [
40]. Another study synthesizing five meta-analyses from 3,847 articles found that knee OA significantly increased the risk of CV mortality, falls, and conditions linked to subclinical atherosclerosis [
41]. These findings, combined with the known CV risks of T2DM, suggest that individuals with both conditions may face a compounded risk of CVD.
Interestingly, while knee OA was associated with increased CVD events in T2DM patients, our study did not find a significant difference in CV mortality (HR 0.99, 95% CI 0.92–1.07). This apparent paradox may reflect survival bias, as OA patients may receive more frequent medical attention and earlier CV interventions, improving survival despite higher event rates. Differences in healthcare access and treatment intensity may also play a role. Further studies with longer follow-up and mechanistic analyses are needed to clarify these relationships.
We observed significant effect modification by insulin use (
p for interaction = 0.006) and diabetes duration (
p for interaction = 0.001) in the association between knee OA and CVD among patients with T2DM. Although absolute CVD incidence was higher in insulin users and those with longer diabetes duration, the relative risk increase associated with knee OA was more pronounced in non-insulin users and those with diabetes duration < 5 years. This suggests that knee OA may confer greater additional CV risk in earlier or less intensively treated stages of T2DM. These findings underscore the need for early risk assessment and CVD prevention strategies in patients with knee OA—even when diabetes appears mild or well-controlled. Similar trends have been reported in previous studies, where shorter diabetes duration paradoxically correlated with higher relative CVD risk [
42,
43]. This pattern likely reflects a baseline-risk or “ceiling” effect, where an equivalent absolute increase in CVD risk from OA produces a smaller relative effect in high-risk groups and a larger relative effect in lower-risk groups. Absolute CVD risk, however, remained highest in insulin users and those with longer diabetes duration. The < 5-year threshold reflects an early-phase vs. established-phase distinction commonly used in cohort studies and allowed balanced subgroup sizes for effect-modification testing. These findings should be interpreted cautiously, as the subgroup analyses were exploratory and not adjusted for multiplicity.
The increased CVD risk among non-insulin users with knee OA may reflect several factors. These individuals may have lower treatment adherence, resulting in suboptimal control of both glycemic and CV risk profiles. Additionally, lack of insulin therapy could signal less intensive disease management, potentially amplifying inflammatory pathways shared by OA and atherosclerosis. Finally, disparities in healthcare utilization may delay diagnosis and intervention for CVD in this group.
A similar pattern was observed in patients with shorter diabetes duration (< 5 yr). In long-standing T2DM, the cumulative burden of metabolic dysfunction may overshadow the relative impact of OA on CVD risk. Survival bias may also play a role, as patients who survive longer or receive intensive treatment may represent a lower-risk subgroup. In contrast, early-stage diabetes often features heightened systemic inflammation, potentially amplifying OA-related CV risk. Furthermore, patients with longer disease duration typically receive more aggressive CV risk management and accumulate comorbidities such as obesity, hypertension, and dyslipidemia—factors that may dilute or obscure the additional risk conferred by OA.
These findings have important clinical implications. In patients with T2DM, knee OA should not be regarded merely as a musculoskeletal issue causing functional limitation. Rather, it may contribute to CV vulnerability through shared inflammatory and metabolic mechanisms. Given the additive risk observed, OA status may warrant inclusion in CVD risk stratification—particularly in patients with shorter diabetes duration or those managed without insulin.
Previous studies suggest that this elevated CVD risk in OA populations may be partly mediated by reduced physical activity [
44]. A large meta-analysis reported that OA was associated with a 24% higher CVD risk, partly explained by lower activity levels. In a nationwide Korean cohort, knee OA patients who did not engage in regular exercise had a significantly higher CVD risk (HR 1.25), whereas those exercising at least once per week showed no significant excess risk compared with individuals without OA [
23]. Similar findings from other population-based studies consistently link higher physical activity levels with lower CVD incidence in OA patients [
27]. Collectively, this evidence reinforces the role of exercise as a modifiable factor that can mitigate CV risk in OA.
To mitigate this risk, healthcare providers should promote regular physical activity and comprehensive CVD risk monitoring in T2DM patients with knee OA. Even modest exercise was associated with substantial reductions in CV events and mortality in our cohort. Early intervention may be particularly beneficial for patients not yet requiring insulin. An integrated approach addressing both musculoskeletal and cardiometabolic factors could help improve long-term outcomes in this vulnerable population.
Knee OA can increase CVD risk by limiting physical activity and leading to a sedentary lifestyle [
45]. However, regular exercise has been shown to reduce CVD risk factors such as obesity, T2DM, and hypertension [
46–
48]. Despite concerns that exercise may worsen OA symptoms, growing evidence suggests it can reduce pain and disability and is not the cause of OA unless injured, particularly in knee OA [
49–
51].
The present study found that T2DM patients with knee OA who exercised had a lower risk of CVD compared to those with poor exercise habits. Even as little as 20–30 minutes of exercise once a week was shown to reduce the risk of CVD. These findings demonstrate the effectiveness of exercise in preventing CVD in T2DM patients with knee OA and emphasize the potential CVD risk in non-exercising patients.
While our study demonstrated significant CV benefits from both intermittent and regular exercise, we did not assess the effects of specific exercise types or intensities. Existing evidence suggests that aerobic and resistance training offer distinct CV benefits in this population. Aerobic activities improve endothelial function and insulin sensitivity with minimal joint stress, while resistance training enhances glycemic control, muscle strength, and reduces inflammation. Low-intensity exercise may also benefit those with mobility limitations, potentially explaining the observed risk reduction even in our intermittently active group.
Our findings highlight that even low-frequency physical activity (once per week) confers meaningful CV benefits in T2DM patients with knee OA, likely through improved endothelial function, insulin sensitivity, and reduced systemic inflammation [
23,
52]. Notably, the observed reduction in CV mortality exceeded that for overall CVD risk—an encouraging finding for patients with mobility limitations.
Different types of exercise may exert distinct benefits: aerobic activities (e.g., walking, cycling) enhance endothelial function and glycemic control with minimal joint stress, while resistance training strengthens periarticular muscles, improves glucose metabolism, and reduces inflammation. These differential effects may explain why even intermittent activity was associated with significant CV protection in our study.
Future research should further clarify the comparative impact of exercise modalities and intensities on both OA symptoms and CV outcomes. Until such data become available, any regular physical activity should be strongly encouraged to reduce both CV risk and mortality in this high-risk population.
Several limitations should be considered when interpreting our findings. Firstly, the use of NHIS claims data may introduce misclassification bias; however, we minimized this risk by applying validated operational definitions. Secondly, the retrospective observational design limits causal inference. While we identified a significant association between knee OA and CVD in T2DM patients, causality cannot be established. Future prospective studies with longer follow-up and mechanistic investigations are needed to clarify underlying inflammatory and metabolic pathways connecting these conditions. Thirdly, we could not assess knee OA severity or functional impairment due to data limitations. CV risk may vary based on radiological severity (e.g., Kellgren-Lawrence Grade), pain levels, and mobility restrictions. In addition, glycemic control status, such as HbA1c levels, was not available in the dataset, limiting our ability to evaluate the influence of diabetes severity on CV outcomes. Fourthly, knee OA status and physical activity were assessed only at baseline, although both may change during follow-up. This could have led to exposure misclassification and prevented us from evaluating persistence, lagged effects, or activity trajectories. Advanced approaches such as extended Cox models, inverse probability of treatment weighting (IPTW) marginal structural models, or landmark analyses were not feasible due to the biennial nature of NHIS examinations and the risk of attrition bias. Fifthly, the self-reported exercise data may be subject to recall bias. While self-reported activity may be overestimated, the IPAQ-based NHIS tool is validated, and any non-differential error would likely bias results toward the null. Moreover, our analysis only categorized exercise by frequency (intermittent vs. regular), without accounting for exercise type or intensity. Future research should focus on distinguishing the specific effects of aerobic, resistance, and flexibility training on CV outcomes in patients with knee OA and T2DM, as well as determining optimal intensity, duration, and progression protocols for different patient subgroups. Longitudinal studies tracking both adherence and physiological adaptations could provide valuable insights for developing evidence-based exercise prescriptions. Sixthly, we could not estimate class-specific HRs for individual antidiabetic drugs; instead, our models adjusted for insulin use and the number of oral drug classes to account for treatment intensity and disease severity. We also did not perform Fine–Gray competing risk analyses or incorporate time-varying medication exposures, due to data constraints. We were also unable to generate unadjusted total-effect estimates or conduct formal mediation analyses to quantify the role of physical activity and adiposity, which remain important directions for future research once renewed data access becomes available. Lastly, generalizability may be limited, as our cohort was derived from a Korean population. Additional research in diverse populations with varied genetic backgrounds, dietary patterns, and healthcare systems is necessary to confirm the broader applicability of our findings and identify population-specific risk factors or protective mechanisms. We acknowledge this as a limitation and highlight it as a priority for future research.
T2DM and knee OA are prevalent conditions that contribute to a significant medical, social, and economic burden, particularly when accompanied by CVD. Encouraging healthy exercise behaviors among T2DM patients with knee OA can effectively reduce the risk of CVD, regardless of disease duration or treatment modality. Future studies should investigate optimal exercise methods and intensities to further improve CVD and mortality outcomes in this patient population.
In conclusions, in this large-scale cohort study, knee OA was independently associated with increased CVD risk in patients with T2DM, especially among non-insulin users and those with shorter diabetes duration. Even modest physical activity was linked to lower CVD incidence and CV mortality.
These findings underscore the value of incorporating tailored exercise strategies into diabetes care, particularly for patients with mobility limitations due to OA. Early, individualized interventions may offer a pragmatic approach to reducing cardiometabolic risk in this high-risk population.
Although causality cannot be inferred from this observational study, the consistency of associations across multiple outcomes and subgroups strengthens confidence in the findings. Future research should focus on refining exercise prescriptions—addressing type, intensity, and adherence—and identifying patient subgroups most likely to benefit. These insights support integrated care approaches for managing multimorbidity in chronic disease populations.