205 Hidden benefits in non-effective interventions: A subgroup analysis of associations between characteristics of study participants and changes in prolonged sedentary time using compositional data analysis
Lisa Voigt, Antje Ullrich, Fabian Kleinke, Neeltje van den Berg, Marcus Doerr, Sabina Ulbricht

TL;DR
This study found that even in a failed intervention to reduce sedentary time, some subgroups, like women and those with higher waist circumference, showed meaningful behavior changes.
Contribution
The study introduces subgroup analysis using compositional data analysis to uncover hidden benefits in non-effective interventions.
Findings
Females and individuals with higher baseline waist circumference showed greater reductions in prolonged sedentary time.
The intervention had no overall effect, but specific subgroups demonstrated beneficial behavior changes.
Compositional data analysis revealed associations between participant characteristics and changes in sedentary behavior.
Abstract
Interventions aiming to increase physical activity (PA) or reduce sedentary time (ST) often suffer from selection bias of highly active individuals. Subgroup analysis among most sedentary participants may reveal information about beneficial behaviour changes beyond non-significant intervention effects. We aimed to identify characteristics of participants of a non-effective intervention study associated with a reduction of time spent in prolonged sedentary bouts using compositional data analysis (CoDA) in a subsample of those with highest baseline bout levels. Data was used from an intervention study aiming to increase PA and reduce ST via brief feedback letters among adults from the general population aged ≥65 years. Participants wore ActiGraph-accelerometers on the hip during waking hours for seven days at baseline and 12-months follow-up (N = 130). We conducted a subgroup analysis…
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Taxonomy
TopicsNutritional Studies and Diet · Health, Environment, Cognitive Aging
