Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
|
Daily Overview |
| Session | |
|
Union: Abstract presentations: Monitoring Physical Activity and Health Across the Life Course Location: Grand Hotel Union Session Chair: Anja Frei | |
| Presentation 2 | |
11:40am - 11:50am
Associations of Demographic, Socioeconomic, Lifestyle Factors and Comorbidity with Accelerometer-Measured Physical Activity in Individuals with Cardiovascular Diseases 1: Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; 2: Sophiahemmet University, Stockholm, Sweden; 3: Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden; 4: Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; 5: Department of Health, Medicine and Caring Sciences, Unit of Physiotherapy, Linköping University, Linköping, Sweden; 6: Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Gothenburg, Sweden; 7: Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; 8: Department of Clinical Sciences in Malmö, Diabetes and Cardiovascular Disease-Genetic Epidemiology, Lund University, Malmö, Sweden; 9: Department of Gastroenterology, Skåne University Hospital, Malmö, Sweden; 10: Department of Medical Sciences, Clinical Physiology, Uppsala University, Uppsala, Sweden; 11: Department of Women’s and Children’s Health, Physiotherapy, Uppsala University, Uppsala, Sweden; 12: Department of Medical Sciences, Respiratory-, Allergy- and Sleep Research, Uppsala University, Uppsala, Sweden Background Physical activity (PA) is important for secondary prevention of cardiovascular diseases (CVDs), yet factors associated with device-measured PA in this population are underexplored. This study examines the link between device-measured PA and demographic, socioeconomic, lifestyle factors, and comorbidity in individuals with CVDs. Methods This cross-sectional study used data from a large Swedish cohort and included adults aged 50-64 years with major CVDs. Moderate-to-vigorous physical activity was measured using accelerometers and grouped into tertiles. Demographic, socioeconomic, lifestyle factors, and comorbidities were obtained through questionnaires and registry data. Associations with PA levels were analysed using multiple ordinal logistic regression. Results In total, 1,484 participants (32% women; median age 60.2 years) were included. Lower odds of having a higher PA level were significantly associated with being in the oldest age group (OR = 0.58; 95% CI: 0.44, 0.77), female sex (OR = 0.74, 95% CI: 0.59, 0.92), completion of secondary school (OR = 0.73, 95% CI: 0.54, 0.98), regular/occasional smoking (OR = 0.37; 95% CI: 0.26, 0.51), and having one (OR = 0.61, 95% CI: 0.48, 0.77) or two or more comorbidities (OR = 0.45, 95% CI: 0.30, 0.68). A healthy diet was significantly associated with higher PA levels (OR = 1.84; 95% CI: 1.47, 2.32). Conclusions In this population, engagement in PA is largely associated with lifestyle factors, demographic characteristics, and comorbidity, whereas some commonly used socioeconomic indicators may be of lesser relevance. These findings identify characteristics that may inform future research supporting PA promotion in high-risk groups. | |

