No impact of patient and intervention characteristics on the effect estimates were found .
Short conclusion Low quality of evidence was found for a moderate effect of physical activity monitor-based interventions on physical activity compared with control interventions .
Background The body of evidence related to the effect of physical activity monitor-based interventions has grown over the recent years .
However , the effect of physical activity monitor-based interventions in older adults remains unclear and should be systematic ally review ed .
Objective The objective of this systematic review was to estimate the effect of physical activity monitor-based interventions on physical activity behavior  in participants aged 65 and above .
Subsequently we explored the effect on body mass index , physical capacity , and health-related quality of life and finally the impact of patient- and intervention characteristics .
The feasibility of using pedometers and brief advice to increase activity in sedentary older women – a pilot study
Background People over the age of 70 carry the greatest burden of chronic disease , disability and health care use . Participation in physical activity is crucial for health , and walking accounts for much of the physical activity undertaken by sedentary individuals . Pedometers are a useful motivational tool to encourage increased walking and they are cheap and easy to use . The aim of this pilot study was to evaluate the feasibility of the use of pedometers plus a theory-based intervention to assist sedentary older women to accumulate increasing amounts of physical activity , mainly through walking . Methods Female participants over the age of 70 were recruited from primary care and r and omised to receive either pedometer plus a theory-based intervention or a theory-based intervention alone . The theory-based intervention consisted of motivational techniques , goal - setting , barrier identification and self-monitoring with pedometers and daily diaries . The pedometer group were further r and omised to one of three target groups : a 10 % , 15 % or 20 % monthly increase in step count to assess the achievability and acceptability of a range of targets . The primary outcome was change in daily activity levels measured by accelerometry . Secondary outcome measures were lower limb function , health related quality of life , anxiety and depression . Results 54 participants were recruited into the study , with an average age of 76 . There were 9 drop outs , 45 completing the study . All participants in the pedometer group found the pedometers easy to use and there was good compliance with diary keeping ( 96 % in the pedometer group and 83 % in the theory-based intervention alone group ) . There was a strong correlation ( 0.78 ) between accelerometry and pedometer step counts i.e. indicating that walking was the main physical activity amongst participants . There was a greater increase in activity ( accelerometry ) amongst those in the 20 % target pedometer group compared to the other groups , although not reaching statistical significance ( p = 0.192 ) . Conclusion We have demonstrated that it is feasible to use pedometers and provide theory-based advice to community dwelling sedentary older women to increase physical activity levels and a larger study is planned to investigate this further
No impact of patient and intervention characteristics on the effect estimates were found .
Short conclusion Low quality of evidence was found for a moderate effect of physical activity monitor-based interventions on physical activity compared with control interventions .
Background The body of evidence related to the effect of physical activity monitor-based interventions has grown over the recent years .
However , the effect of physical activity monitor-based interventions in older adults remains unclear and should be systematic ally review ed .
Objective The objective of this systematic review was to estimate the effect of physical activity monitor-based interventions on physical activity behavior  in participants aged 65 and above .
Subsequently we explored the effect on body mass index , physical capacity , and health-related quality of life and finally the impact of patient- and intervention characteristics .