BACKGROUND: Although enhancing physical activity (PA) is important to improve physical and/or cognitive recovery, little is known about PA of patients admitted to an inpatient rehabilitation setting. Therefore, this study assessed the quantity, nature and context of inpatients PA admitted to a rehabilitation center. METHODOLOGY/PRINICIPAL FINDINGS: Prospective observational study using accelerometry & behavioral mapping. PA of patients admitted to inpatient rehabilitation was measured during one day between 7.00-22.00 by means of 3d-accelerometery (Activ8; percentage of sedentary/active time, number of sedentary/active bouts (continuous period of ≥1 minute), and active/sedentary bout lengths and behavioral mapping. Behavioral mapping consisted of observations (every 20 minutes) to assess: type of activity, body position, social context and physical location. Descriptive statistics were used to describe PA on group and individual level. At median the 15 patients spent 81% (IQR 74%-85%) being sedentary. Patients were most sedentary in the evening (maximum sedentary bout length minutes of 69 (IQR 54-95)). During 54% (IQR 50%-61%) of the observations patients were alone) and in their room (median 50% (IQR 45%-59%)), but individual patterns varied widely. CONCLUSION/SIGNIFICANCE: The results of this study enable a deeper understanding of the daily PA patterns of patients admitted for inpatient rehabilitation treatment. PA patterns of patients differ in both quantity, day structure, social and environmental contexts. This supports the need for individualized strategies to support PA behavior during inpatient rehabilitation treatment.
Background: Physical inactivity is common during hospitalization. Physical activity has been described in different inpatient populations but never across a hospital. Purpose: To describe inpatient movement behavior and associated factors throughout a single university hospital. Methods: A prospective observational study was performed. Patients admitted to clinical wards were included. Behavioral mapping was undertaken for each participant between 9AM and 4PM. The location, physical activity, daily activity, and company of participants were described. Barriers to physical activity were examined using linear regression analyses. Results: In total, 345 participants from 19 different wards were included. The mean (SD) age was 61 (16) years and 57% of participants were male. In total, 65% of participants were able to walk independently. On average participants spent 86% of observed time in their room and 10% of their time moving. A physiotherapist or occupational therapist was present during 1% of the time, nursing staff and family were present 11% and 13%, respectively. Multivariate regression analysis showed the presence of an intravenous line (p = .039), urinary catheter (p = .031), being female (p = .034), or being dependent on others for walking (p = .016) to be positively associated with the time spent in bed. Age > 65, undergoing surgery, receiving encouragement by a nurse or physician, reporting a physical complaint or pain were not associated with the time spent in bed (P > .05). Conclusion: As family members and nursing staff spend more time with patients than physiotherapists or occupational therapists, increasing their involvement might be an important next step in the promotion of physical activity.
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There is ongoing discussion about whether preoperative obesity is negatively associated with inpatient outcomes of total hip arthroplasty (THA). The aim was to investigate the interaction between obesity and muscle strength and the association with postoperative inpatient recovery after THA. Preoperative obesity (body mass index (BMI)>30 kg/m2) and muscle weakness (hand grip strength <20 kg for woman and <30 kg for men) were measured about 6 weeks before THA. Patients with a BMI<18.5 kg/m2 were excluded. Outcomes were delayed inpatient recovery of activities (>2 days to reach independence of walking) and prolonged length of hospital stay (LOS, >4 days and/or discharge to extended rehabilitation). Univariate and multivariable regression analyses with the independent variables muscle weakness and obesity, and the interaction between obesity and muscle weakness, were performed and corrected for possible confounders.
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