Objectives
This study examined the association between lifestyle inflammation score (LIS) and health-related quality of life, assessed using the EuroQol-5 Dimensions (EQ-5D) index, among adults in the Republic of Korea. It also evaluated whether depressive symptoms moderated this association. Methods: Data from the 2024 Community Health Survey were analyzed, and 231,386 adults were included. LIS was calculated by integrating smoking, alcohol consumption, physical activity, and body mass index. The dependent variable, quality of life, was assessed using the EQ-5D index. Depressive symptoms, the moderator variable, were assessed using the Patient Health Questionnaire-9, with a score of ≥10 indicating depressive symptoms. Data were analyzed using complex-sample multivariable linear regression to examine interaction effects according to depressive symptom status, followed by simple-slope analyses. Results: After adjustment for demographic and health-related variables, LIS was significantly and negatively associated with the EQ-5D index (β= –0.0069, p< 0.001), indicating that higher levels of inflammation-related lifestyle behaviors were associated with poorer quality of life. Depressive symptoms significantly moderated the association between LIS and the EQ5D index (β= –0.01727, p< 0.001). Simple-slope analyses showed that the adverse association between LIS and quality of life was stronger among individuals with depressive symptoms (β= –0.02349) than among those without depressive symptoms (β= –0.00621). Conclusion: Inflammation-related lifestyle behaviors were associated with reduced quality of life, and this negative association was stronger among individuals with depressive symptoms. These findings suggest that considering both lifestyle-related inflammatory burden and depressive symptoms may help explain population-level differences in quality of life.

Objectives
This study investigated the relationship between metabolic factors (blood lipids and glucose) and inflammatory indicators (tumor necrosis factor-alpha [TNF-α] and high-sensitivity C-reactive protein [hs-CRP]), disease activity, and the rheumatoid arthritis (RA) risk.
Methods
Serum fasting blood glucose (FBG) and lipid profiles—including total cholesterol (Chol), triglycerides (TG), high-density lipoprotein (HDL), and low-density lipoprotein—were measured in 100 RA patients and 100 healthy individuals. Disease severity was assessed using the disease activity score 28. Inflammatory indicators (TNF-α and hs-CRP) were measured using the enzyme-linked immunosorbent assay method.
Results
In RA patients, serum FBG, TG, Chol/HDL, and TG/HDL were significantly elevated, whereas HDL levels reduced compared to healthy individuals. Multivariate analysis indicated that each unit increase in serum FBG, HDL, Chol/HDL, and TG/HDL was associated with a 64% increase (p<0.001), a 7% reduction (p=0.001), a 52% increase (p=0.007), and a 54% increase (p=0.001) in the odds of RA, respectively. Disease activity showed no correlation with metabolic factors (p>0.05). Among all metabolic factors studied, FBG had the largest area under the curve (0.981) (p<0.0001) for predicting RA. Across the total participant group, FBG, TG, and TG/HDL were positively associated with hs-CRP and TNF-α (p<0.05). HDL showed an inverse association with hs-CRP (p=0.008). Among RA patients specifically, TNF-α positively correlated with TG and TG/HDL, while hs-CRP correlated only with TG/HDL.
Conclusion
These findings indicate that increased FBG and Chol/HDL and decreased HDL may elevate RA risk by promoting systemic inflammation. Among these, elevated FBG may serve as the strongest predictor of RA risk.

Objectives
Inflammation has been proposed to be one of the main causes of musculoskeletal pain. Diet is a lifestyle factor that plays an important role in managing inflammation; thus, we assessed the inflammatory potential of diets using the empirical dietary inflammatory index (EDII) to investigate the relationship between diet and musculoskeletal pain.
Methods
This cross-sectional study included 212 elderly individuals who were selected from health centers in Tehran, Iran. Dietary intake was evaluated using a valid and reliable 147-item food frequency questionnaire. To measure the intensity of pain, a visual analogue scale was used. Multiple linear regression was applied to assess the association between the EDII and musculoskeletal pain.
Results
In total, 62.7% and 37.3% of participants had mild and severe pain, respectively. The EDII values were 0.97±0.72 and 1.10±0.66, respectively, in those with mild and severe pain. A higher EDII score was associated with more intense musculoskeletal pain after adjusting for age and sex (β=0.20; 95% confidence interval [CI], 0.06–0.26; p<0.001), but not after adjustment for other confounders (β=–0.13; 95% CI, –1.54 to 0.60; p=0.39).
Conclusion
Our findings indicated that higher dietary inflammation might not be associated with musculoskeletal pain in older adults. However, further investigations are required to confirm these findings.