Tjerk Sleeswijk Visser

8 145 Impact of Socioeconomic Status in Patients with Achilles Tendinopathy Table 1. Descriptive statistics of participants. Participants’ characteristics (n=200) Population demographics Age, median [IQR], (years) 51 [40-57] Sex (Male/Female) 121(61) / 79(39) Height, mean (SD), (cm) 179.2 (9.3) BMI, median [IQR], (kg/m2) 25.4 [23.5-28.8] Tendinopathy descriptors AT (unilateral/bilateral) 132(66) / 68(34) Symptom duration, median [IQR], (weeks) 94 [39-213] VISA-A score at baseline (0-100), mean (SD) 45.3 (18.7) Pain location (midportion/insertion) 106(53) / 94(47) General health and comorbidities Sports participation (yes/no) 183(92) / 17(8) AAS score (0-10), median [IQR] 4 [4-7] Sport adaptation (none/reduced/stopped) 32(16) / 42(21) / 126(63) Prior history of tendinopathy (yes/no) 92(46) / 108(54) Medication use (yes/no) 70(35) / 130(65) Comorbidities* (yes/no) 54(27) / 146(73) Abbreviations: SD: Standard Deviation, IQR: Interquartile Range, AT: Achilles tendinopathy, BMI: Body Mass Index, VISA-A: Victorian Institute of Sport Assessment Achilles, AAS: Ankle Activity Score Data are presented as No. (%) unless otherwise specified. Sports adaptation: patients who reported no change in sports activities, a reduction in sports activities or stopped performing sports activities. *Comorbidities included: diabetes, hypercholesterolemia, hypertension, heart/vessel diseases, uveitis, (inflammatory) bowel disease, rheumatism, thyroid disease and psoriasis

RkJQdWJsaXNoZXIy MTk4NDMw