In the Netherlands comparable levels of sports-participation between persons with haemophilia and healthy controls have been reported. This raises the question if children with haemophilia under the currently available prophylaxis do reach comparable levels of physical fitness and health-related quality of life (HRQoL) as their healthy peers. The aim of this study was to investigate the level of physical fitness, functional ability and quality of life and to determine the feasibility to safely test the exercise capacity of boys with severe haemophilia A. Thirteen subjects participated in this study. Physical fitness was determined using the measurement of maximal oxygen uptake (VO2peak) attained during a graded maximal exercise test to volitional exhaustion. Joint health, physical activity levels and health-related quality of life (Haemo-Qol) were also measured. Mean VO2peak was 1.86+/-0.77 L min-1 (Z-score: -0.39+/-1.61) which was not significantly different from reference values. Relative VO2peak was 47.42+/-8.29 mL min-1 kg-1 (Z-score: -0.52+/-1.43), which did not differ significantly from reference values either. One boy suffered a joint bleeding one day after the test. Haemo-Qol scores in parents and children ranged from 3.2% to 36.7% (100% reflects poor outcome). Relationship between the child or parent reports of Haemo-QoL and both absolute and relative VO2peak ranged from R=0.00 and R=0.4. Exercise testing in children with severe haemophilia A was a safe procedure. Patients with severe haemophilia A with good joint health and no limitations of activities have comparable physical fitness and physical active lifestyle with healthy peers and good HRQoL.
Background: Accurate measurement of health literacy is essential to improve accessibility and effectiveness of health care and prevention. One measure frequently applied in international research is the Short Assessment of Health Literacy (SAHL). While the Dutch SAHL (SAHL-D) has proven to be valid and reliable, its administration is time consuming and burdensome for participants. Our aim was to further validate, strengthen and shorten the SAHL-D using Rasch analysis. Methods: Available cross-sectional SAHL-D data was used from adult samples (N = 1231) to assess unidimensionality, local independence, item fit, person fit, item hierarchy, scale targeting, precision (person reliability and person separation), and presence of differential item functioning (DIF) depending on age, gender, education and study sample. Results: Thirteen items for a short form were selected based on item fit and DIF, and scale properties were compared between the two forms. The long form had several items with DIF for age, gender, educational level and study sample. Both forms showed lower measurement precision at higher health literacy levels. Conclusions: The findings support the validity and reliability of the SAHL-D for the long form and the short form, which can be used for a rapid assessment of health literacy in research and clinical practice.
Background: Osteoarthritis is one of the most common chronic joint diseases, mostly affecting the knee or hip through pain, joint stiffness and decreased physical functioning in daily life. Regular physical activity (PA) can help preserve and improve physical functioning and reduce pain in patients with osteoarthritis. Interventions aiming to improve movement behaviour can be optimized by tailoring them to a patients' starting point; their current movement behaviour. Movement behaviour needs to be assessed in its full complexity, and therefore a multidimensional description is needed. Objectives: The aim of this study was to identify subgroups based on movement behaviour patterns in patients with hip and/or knee osteoarthritis who are eligible for a PA intervention. Second, differences between subgroups regarding Body Mass Index, sex, age, physical functioning, comorbidities, fatigue and pain were determined between subgroups. Methods: Baseline data of the clinical trial 'e-Exercise Osteoarthritis', collected in Dutch primary care physical therapy practices were analysed. Movement behaviour was assessed with ActiGraph GT3X and GT3X+ accelerometers. Groups with similar patterns were identified using a hierarchical cluster analysis, including six clustering variables indicating total time in and distribution of PA and sedentary behaviours. Differences in clinical characteristics between groups were assessed via Kruskall Wallis and Chi2 tests. Results: Accelerometer data, including all daily activities during 3 to 5 subsequent days, of 182 patients (average age 63 years) with hip and/or knee osteoarthritis were analysed. Four patterns were identified: inactive & sedentary, prolonged sedentary, light active and active. Physical functioning was less impaired in the group with the active pattern compared to the inactive & sedentary pattern. The group with the prolonged sedentary pattern experienced lower levels of pain and fatigue and higher levels of physical functioning compared to the light active and compared to the inactive & sedentary. Conclusions: Four subgroups with substantially different movement behaviour patterns and clinical characteristics can be identified in patients with osteoarthritis of the hip and/or knee. Knowledge about these subgroups can be used to personalize future movement behaviour interventions for this population.
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