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The aim of this study is to explore the level of pre-stroke physical activity in patients with stroke and to investigate associations between physical activity and sociodemographic variables, e.g. history of stroke, co-morbidities and subtype of stroke.
Physical inactivity is a great risk factor for stroke; thus, the investigators hypothesise that patients hospitalised with stroke will present with a lower level of pre-stroke physical activity than recommended by World Health Organization (WHO) guidelines on physical activity for health. Additionally, the investigators expect to find an association between pre-stroke physical activity and specific sociodemographic variables, e.g. stroke subtype, and re-stroke.
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Physical inactivity and low cardiorespiratory fitness are important risk factors for stroke. To design future secondary non-pharmacological prevention strategies in stroke, detailed information on current level of physical activity is essential.
In the Danish adult population, 28,8% do not adhere to the WHO guidelines on physical activity for health, with an increasing number (33%) in the population older than 55 years of age. Diverging results have been given on level of physical activity in patients with stroke which warrants further investigation.
Statistics: Descriptive statistics will be used to characterise the study population. To evaluate whether the participants adhere to recommendations on physical activity the proportion of participants adhering will be estimated. To evaluate the association between pre-stroke physical activity using MET-values (dependent variable) and sociodemographic variables (age, gender, previous event of stroke, subtypes of stroke, cardiovascular risk factors, living status and educational level) a multiple linear regression analysis will be performed. The aim is to include 120 participants in the multiple linear regression analyses. This is based on the number of variables (a maximum of seven). p < 0.05 will be used as level of statistical significance. All tests will be two-sided. Data will be analysed using Microsoft Excel 2019 and Stata 17.
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Data sourced from clinicaltrials.gov
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