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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Obesity is a fast-growing societal threat, causingchronic conditions, physical and psychological health problems,as well as sickness absence and heavy healthcare costs. Despitenumerous attempts to promote physical activity and healthydiet, existing interventions do not focus on the commonemotional causes of obesity. There is a need for self-managementsupport of this vulnerable target group: emotional eaters. Thispaper presents the results of the design case study focusing on aholistic design and evaluation of a personalised virtual mHealthcoach that provides self-management training ‘Denk je zèlf!’(Dutch for ‘Develop a wise mind and counsel yourself’). Thetarget group are young adults with an emotional eating disorderand who are obese. The contextual inquiry study was conductedto gain insights into the needs and experiences of the targetusers, including interviews and questionnaires with emotionaleaters, patients undergoing obesity treatment, and healthcarepractitioners. Personas and the use-case scenario were derivedfrom these results and translated into the new ‘Denk je zèlf!’virtual coach, based on Dialectical Behaviour Therapy andexperience sampling measures to capture user experience andemotional state. The main contributions of this paper are: (a)combining holistic eHealth design, behavior chain analysis, anddialectic behaviour therapy in one personalised virtual mHealthcoaching application for emotional eaters; (b) applying emotionenrichedPersonas to guide the design; (c) the results of theinitial user evaluation. Preliminary results suggest that the‘Denk je zèlf!’ virtual coach is useful for helping the targetgroup. Future research will be aimed at further iterative (re)-design and evaluation, as well as development of the dialecticaldialogues for the virtual coach and content for the education andinstruction modules.
ObjectiveTo determine the effectiveness of the “Plants for Joints” multidisciplinary lifestyle program in patients with metabolic syndrome-associated osteoarthritis (MSOA).DesignPatients with hip or knee MSOA were randomized to the intervention or control group. The intervention group followed a 16-week program in addition to usual care based on a whole food plant-based diet, physical activity, and stress management. The control group received usual care. The patient-reported Western Ontario and McMasters Universities Osteoarthritis Index (WOMAC) total score (range 0–96) was the primary outcome. Secondary outcomes included other patient-reported, anthropometric, and metabolic measures. An intention-to-treat analysis with a linear-mixed model adjusted for baseline values was used to analyze between-group differences.ResultsOf the 66 people randomized, 64 completed the study. Participants (84% female) had a mean (SD) age of 63 (6) years and body mass index of 33 (5) kg/m2. After 16 weeks, the intervention group (n = 32) had a mean 11-point larger improvement in WOMAC-score (95% CI 6–16; p = 0.0001) compared to the control group. The intervention group also lost more weight (–5 kg), fat mass (–4 kg), and waist circumference (–6 cm) compared to the control group. Patient-Reported Outcomes Measurement Information System (PROMIS) fatigue, pain interference, C-reactive protein, hemoglobin A1c, fasting glucose, and low-density lipoproteins improved in the intervention versus the control group, while other PROMIS measures, blood pressure, high-density lipoproteins, and triglycerides did not differ significantly between the groups.ConclusionThe “Plants for Joints” lifestyle program reduced stiffness, relieved pain, and improved physical function in people with hip or knee MSOA compared to usual care.
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