Purpose: This study aimed to identify trajectories of physical activity behavior from discharge up to 6-8 years after rehabilitation among adults with physical disabilities and/or chronic diseases, and to determine modifiable determinants associated with trajectory membership.
Material And Methods: 390 Adults with physical disabilities and/or chronic diseases participated in the Rehabilitation, Sports and Active lifestyle (ReSpAct) 2.0 study with measurements at 3-6 weeks before discharge (T0), and 14 (T1), 33 (T2), and 52 weeks (T3), and 6-8 years (T4) after discharge from rehabilitation.
Background: People with physical disabilities and/or chronic diseases tend to have an inactive lifestyle. Monitoring physical activity levels is important to provide insight on how much and what types of activities people with physical disabilities and/or chronic diseases engage in. This information can be used as input for interventions to promote a physically active lifestyle.
View Article and Find Full Text PDFPurpose/objective: This study aimed to (a) explore the associations between psychosocial factors and physical activity behavior in people with physical disabilities and/or chronic diseases, both between and within persons over time; and (b) examine whether these associations differ for people initiating and people maintaining physical activity behavior.
Research Method/design: Data of 1,256 adults with physical disabilities and/or chronic diseases enrolled in the prospective cohort study Rehabilitation, Sports, and Active lifestyle (ReSpAct) were analyzed. Self-reported physical activity and four main psychosocial factors (i.
Background: Little is known of physical activity behaviour among adults with a disability and/or chronic disease during and up to 1 year post-rehabilitation. We aimed to explore (1) dose characteristics of physical activity behaviour among adults with physical disabilities and/or chronic diseases during that period, and (2) the effects of personal characteristics and diagnosis on the development of physical activity over time.
Methods: Adults with physical disabilities and/or chronic diseases (N=1256), enrolled in the Rehabilitation, Sports and Active lifestyle study, were followed with questionnaires: 3-6 weeks before (T0) and 14 (T1), 33 (T2) and 52 (T3) weeks after discharge from rehabilitation.
The current study determined the test-retest reliability and concurrent validity of the Adapted Short QUestionnaire to ASsess Health-enhancing physical activity (Adapted-SQUASH) in adults with disabilities. Before filling in the Adapted-SQUASH twice with a recall period of 2 weeks, participants wore the Actiheart activity monitor up to 1 week. For the test-retest reliability (N = 68), Intraclass correlation coefficients (ICCs) were 0.
View Article and Find Full Text PDFPurpose: To identify the expectations of men with LUTS referred to a urologist and to study the association between those expectations and satisfaction with the care provided.
Methods: In this prospective cohort study, adult men with LUTS completed a questionnaire before their first outpatient appointment, and again at 6 and 12 weeks. The questionnaires included IPSS and OABq-SF, and self-constructed questions on patient expectations, outcome of expectations and satisfaction.
Aims: To explore the effect of an online self-management program in secondary care for men with lower urinary tract symptoms (LUTS).
Methods: We performed a prospective nonrandomized double-cohort pilot study of consecutive adult men referred with uncomplicated LUTS to three urology outpatient departments. Men in both cohorts received care as usual from a urologist, but men in the intervention cohort also had access to an online self-management program.
Aims: To develop an online platform to facilitate evidence-based self-management of lower urinary tract symptoms (LUTS) in men.
Methods: Using the PubMed database (search until January 2017) and relevant guidelines, we reviewed evidence for the self-management of LUTS and identified suitable components for the intervention. Next, we built an algorithm that provided individualized advice based on patient characteristics and symptoms for use on an online platform.