OBJECTIVES: To determine the number of steps taken by older patients in hospital and 1 week after discharge; to identify factors associated with step numbers after discharge; and to examine the association between functional decline and step numbers after discharge.DESIGN: Prospective observational cohort study conducted in 2015-2017.SETTING AND PARTICIPANTS: Older adults (≥70 years of age) acutely hospitalized for at least 48 hours at internal, cardiology, or geriatric wards in 6 Dutch hospitals.METHODS: Steps were counted using the Fitbit Flex accelerometer during hospitalization and 1 week after discharge. Demographic, somatic, physical, and psychosocial factors were assessed during hospitalization. Functional decline was determined 1 month after discharge using the Katz activities of daily living index.RESULTS: The analytic sample included 188 participants [mean age (standard deviation) 79.1 (6.7)]. One month postdischarge, 33 out of 174 participants (19%) experienced functional decline. The median number of steps was 656 [interquartile range (IQR), 250-1146] at the last day of hospitalization. This increased to 1750 (IQR 675-4114) steps 1 day postdischarge, and to 1997 (IQR 938-4098) steps 7 days postdischarge. Age [β = -57.93; 95% confidence interval (CI) -111.15 to -4.71], physical performance (β = 224.95; 95% CI 117.79-332.11), and steps in hospital (β = 0.76; 95% CI 0.46-1.06) were associated with steps postdischarge. There was a significant association between step numbers after discharge and functional decline 1 month after discharge (β = -1400; 95% CI -2380 to -420; P = .005).CONCLUSIONS AND IMPLICATIONS: Among acutely hospitalized older adults, step numbers double 1 day postdischarge, indicating that their capacity is underutilized during hospitalization. Physical performance and physical activity during hospitalization are key to increasing the number of steps postdischarge. The number of steps 1 week after discharge is a promising indicator of functional decline 1 month after discharge.
OBJECTIVES: To determine the number of steps taken by older patients in hospital and 1 week after discharge; to identify factors associated with step numbers after discharge; and to examine the association between functional decline and step numbers after discharge.DESIGN: Prospective observational cohort study conducted in 2015-2017.SETTING AND PARTICIPANTS: Older adults (≥70 years of age) acutely hospitalized for at least 48 hours at internal, cardiology, or geriatric wards in 6 Dutch hospitals.METHODS: Steps were counted using the Fitbit Flex accelerometer during hospitalization and 1 week after discharge. Demographic, somatic, physical, and psychosocial factors were assessed during hospitalization. Functional decline was determined 1 month after discharge using the Katz activities of daily living index.RESULTS: The analytic sample included 188 participants [mean age (standard deviation) 79.1 (6.7)]. One month postdischarge, 33 out of 174 participants (19%) experienced functional decline. The median number of steps was 656 [interquartile range (IQR), 250-1146] at the last day of hospitalization. This increased to 1750 (IQR 675-4114) steps 1 day postdischarge, and to 1997 (IQR 938-4098) steps 7 days postdischarge. Age [β = -57.93; 95% confidence interval (CI) -111.15 to -4.71], physical performance (β = 224.95; 95% CI 117.79-332.11), and steps in hospital (β = 0.76; 95% CI 0.46-1.06) were associated with steps postdischarge. There was a significant association between step numbers after discharge and functional decline 1 month after discharge (β = -1400; 95% CI -2380 to -420; P = .005).CONCLUSIONS AND IMPLICATIONS: Among acutely hospitalized older adults, step numbers double 1 day postdischarge, indicating that their capacity is underutilized during hospitalization. Physical performance and physical activity during hospitalization are key to increasing the number of steps postdischarge. The number of steps 1 week after discharge is a promising indicator of functional decline 1 month after discharge.
BackgroundLittle is known about the association between fear of movement (kinesiophobia) and objectively measured physical activity (PA), the first 12 weeks after cardiac hospitalization.PurposeTo assess the longitudinal association between kinesiophobia and objectively measured PA and to assess the factor structure of kinesiophobia.MethodsWe performed a longitudinal observational study. PA was continuously measured from hospital discharge to 12 weeks using the Personal Activity Monitor. The PAM measures time spent per day in PA-intensity categories: light, moderate and heavy. Kinesiophobia was assessed with the Tampa Scale for Kinesiophobia (TSK) at four time points (hospital discharge, 3, 6 and 12 weeks). The longitudinal association between PA-intensity and kinesiophobia was studied with a random intercept cross lagged panel model (RI-CLPM). A RI-CLPM estimates effects from kinesiophobia on objectively measured PA and vice versa (cross-over effects), and autoregressive effects (e.g. kinesiophobia from one occasion to the next).ResultsIn total, 116 patients (83.6% male) with a median age of 65.5 were included in this study. On no occasion did we find an effect of kinesiophobia on PA and vice versa. Model fit for the original model was poor (X2: = 44.646 P<0.001). Best model fit was found for a model were kinesiophobia was modelled as a stable between factor (latent variable) and PA as autoregressive component (dynamic process) (X2 = 27.541 P<0.12).ConclusionKinesiophobia and objectively measured PA are not associated in the first 12 weeks after hospital discharge. This study shows that kinesiophobia remained relatively stable, 12 weeks after hospital discharge, despite fluctuations in light to moderate PA-intensity.
Voor patiënten met long- of gastro-intestinale kanker die een operatie hebben ondergaan zijn een goed op elkaar afgestemde hoeveelheid lichamelijke activiteit in combinatie met voldoende eiwitinname, na de operatie essentieel voor een goed herstel. Na ontslag uit het ziekenhuis is de inzet van een fysiotherapeut en diëtist die elkaar aanvullen geen vanzelfsprekendheid terwijl zij elkaar juist kunnen versterken. Met het bestaande OPRAH (Optimizing-Physical-Recovery-After-Hospitalization) herstelprogramma ondersteunen fysiotherapeuten en diëtisten patiënten na een operatie met een eHealth applicatie met monitoring en coaching. Omdat de beroepen fysiotherapie en diëtetiek van oudsher hands-on zijn vraagt deze manier van behandelen een transitie in denken en manier van werken. Professionals vinden het moeilijk om de behandeling op elkaar af te stemmen, op afstand te coachen en de technologie van een eHealth applicatie te integreren in de praktijk. Daarnaast is nog niet bekend wat de optimale combinatie van hoeveelheid voeding en beweging is en waarom bepaalde patiënten wel goed op het OPRAH herstelprogramma reageren en andere patiënten niet. De technologie van OPRAH waarbij grote hoeveelheden informatie over voeding en beweging wordt verzameld, biedt de mogelijkheid om met kunstmatige intelligentie nieuwe verbanden te leggen en deze praktijkvragen te beantwoorden maar deze techniek wordt nog niet toegepast. Het doel van deze aanvraag is om de interprofessionele samenwerking tussen fysiotherapeuten en diëtisten bij de behandeling van patiënten met kanker te versterken en het OPRAH herstelprogramma te optimaliseren. In dit project onderzoeken we verbanden tussen veranderingen in voeding en beweging bij patiënten met kanker die een operatie ondergaan, ontwerpen we een infrastructuur voor structurele dataverzameling van voeding en beweging (WP1) en onderzoeken we hoe we de interprofessionele afstemming kunnen versterken (WP1). Op basis van de bevindingen passen we het OPRAH herstelprogramma aan en testen we deze in de praktijk (WP3). WP4 is gericht op doorwerking naar de beroepspraktijk en het onderwijs.
