ABSTRACT
BACKGROUND: The impact of overweight on the incidence of shoulder adhesive capsulitis (AC) has not been clearly proven. This study aimed to investigate the association between overweight and AC by age using a large-scale nationwide population-based cohort in Korea. METHODS: We analyzed clinical data from 3,517,066 individuals older than 20 years who had undergone a National Health Insurance Service health checkup in 2009. Patients who visited a hospital or private clinic to treat shoulder pain at least three times in 1 year and were assigned a diagnostic code for AC (International Classification of Diseases,10th Revision code M75.00) were identified using claims data during a median follow-up duration of 8.3 years. Hazard ratios (HRs) and 95% confidence intervals for AC were calculated using the Cox proportional hazards model. RESULTS: The adjusted HR for AC in the < 40 year group started to increase in overweight status and was associated with the severity of obesity (body mass index (BMI) < 18.5; 0.654 (0.613-0.697), <23; 1, <25; 1.272 (1.231-1.315), <30; 1.322 (1.281-1.364), ≥30; 1.332 (1.253-1.416)). But in the 40-64 year group and the ≥ 65 year group, there was no significant increasing trend of HR for AC according to BMI level. We conducted a subgroup analysis based on the BMI 23 for defining overweight and presence of comorbidities including diabetes and hyperlipidemia. The adjusted HR for AC was highest with overweight and comorbidities of diabetes and hyperlipidemia (diabetes; 1.528 (1.508-1.549), hyperlipidemia; 1.212 (1.199-1.226)). CONCLUSIONS: In the young age group (20-40 years), a higher BMI level increased the HR for AC. Overweight along with diabetes or hyperlipidemia significantly increased the risk of AC.
ABSTRACT
BACKGRUOUND: This study aimed to investigate the association between type 2 diabetes mellitus (T2DM) and shoulder adhesive capsulitis (AC) using a large-scale, nationwide, population-based cohort in the Republic of Korea. METHODS: A total of 3,471,745 subjects aged over 20 years who underwent a National Health Insurance Service medical checkup between 2009 and 2010 were included in this study, and followed from the date of their medical checkup to the end of 2018. Subjects were classified into the following four groups based on the presence of dysglycemia and history of diabetes medication: normal, prediabetes, newly diagnosed T2DM (new-T2DM), and T2DM (claim history for antidiabetic medication). The endpoint was new-onset AC during follow-up. The incidence rates (IRs) in 1,000 person-years and hazard ratios (HRs) of AC for each group were analyzed using Cox proportional hazard regression models. RESULTS: The IRs of AC were 9.453 (normal), 11.912 (prediabetes), 14.933 (new-T2DM), and 24.3761 (T2DM). The adjusted HRs of AC in the prediabetes, new-T2DM, and T2DM groups were 1.084 (95% confidence interval [CI], 1.075 to 1.094), 1.312 (95% CI, 1.287 to 1.337), and 1.473 (95% CI, 1.452 to 1.494) compared to the normal group, respectively. This secular trend of the HRs of AC according to T2DM status was statistically significant (P<0.0001). CONCLUSION: This large-scale, longitudinal, nationwide, population-based cohort study of 3,471,745 subjects confirmed that the risk of AC increases in prediabetic subjects and is associated with T2DM status.