Cardiovascular Diseases, HMG COA Reductase Inhibitor Adverse Reaction, Muscle Pain
Conditions
Brief summary
Rationale: Combining statin treatment and physical activity is very effective for the prevention of cardiovascular diseases. Statins are well-tolerated by most patients, but may cause statin-associated muscle symptoms (SAMS). Objective: To identify predictors for SAMS in statin users and to objectively assess physical activity levels and sedentary time between symptomatic and asymptomatic statin users.
Detailed description
Combining statin treatment and physical activity is very effective for the prevention of cardiovascular diseases. Statins are well-tolerated by most patients, but may cause statin-associated muscle symptoms (SAMS). Physical activity may exacerbate SAMS, producing decreased physical activity levels or statin nonadherence. However, it is unknown if daily activity patterns differ between symptomatic and asymptomatic statin users. In this cross-sectional observational study the investigators will assess if physical activity levels and sedentary time differ between symptomatic and asymptomatic statins users. Secondly, questionnaires will be used to assess predictors of SAMS.
Interventions
Physical activity patterns will be measured using the activPAL3 micro monitor
Sponsors
Study design
Eligibility
Inclusion criteria
* Mentally able to give informed consent * Statin treatment for at least 3 months
Exclusion criteria
* Known hereditary muscle defect * Known mitochondrial disease * Other diseases known to cause muscle symptoms (e.g. m. Parkinson or rheumatic diseases)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Physical activity | during 1 week | Physical activity (min/day) will be assessed using the activPAL3 micro monitor |
| Sedentary time | during 1 week | Sedentary time (min/day) will be assessed using the activPAL3 micro monitor |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Predictors of statin-associated muscle complaints (SAMS) | 1 moment (cross-sectional) | Using questionnaires predictors of SAMS will be explored |
Countries
Netherlands