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The drivers of reduced in-hospital mobility are poorly understood, especially during the early phase of acute hospitalisation. We investigated predictors of in-hospital activity during a 24-h period in the first 48\u2009h of hospital admission in older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This was a secondary analysis of a prospective repeated measures cohort study. Participants aged 75\u2009years or older were recruited within the first 24\u2009h of admission. At recruitment, patients underwent a baseline assessment including measurements of pre-morbid functional mobility, cognition, frailty, falls efficacy, co-morbidity, acute illness severity, knee extension strength and grip strength, and consented to wear accelerometers to measure physical activity during the first 7\u2009days (or until discharge if earlier). In-hospital physical activity was defined as the amount of upright time (standing or walking). To examine the predictors of physical activity, we limited the analysis to the first 24\u2009h of recording to maximise the sample size as due to discharge from hospital there was daily attrition. We used a best subset analysis including all baseline measures. The optimal model was defined by having the lowest Bayesian information criterion in the best-subset analyses. The model specified a maximum of 5 covariates and used an exhaustive search.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Seventy participants were recruited but eight were excluded from the final analysis due to lack of accelerometer data within the first 24\u2009h after recruitment. Patients spent a median of 0.50\u2009h (IQR: 0.21; 1.43) standing or walking. The optimal model selected the following covariates: functional mobility as measured by the de Morton Mobility Index and two measures of illness severity, the National Early Warning Score, and serum C-reactive protein.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Physical activity, particularly in the acute phase of hospitalisation, is very low in older adults. The association between illness severity and physical activity may be explained by symptoms of acute illness being barriers to activity. Interdisciplinary approaches are required to identify early mobilisation opportunities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12877-020-01562-3","type":"journal-article","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T11:05:37Z","timestamp":1589799937000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Predictors of physical activity in older adults early in an emergency hospital admission: a prospective cohort study"],"prefix":"10.1186","volume":"20","author":[{"given":"Peter","family":"Hartley","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda L.","family":"DeWitt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faye","family":"Forsyth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roman","family":"Romero-Ortuno","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christi","family":"Deaton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,5,18]]},"reference":[{"issue":"8","key":"1562_CR1","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/s12603-011-0335-7","volume":"15","author":"C Lafont","year":"2011","unstructured":"Lafont C, G\u00e9rard S, Voisin T, Pahor M, Vellas B. 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