Hence , continuous and everyday monitoring of behavioral aspects in affective disorders could be a promising supplementary objective measure for estimating depressive mood symptoms .
BACKGROUND Several studies have recently reported on the correlation between objective behavioral features collected via mobile and wearable devices and depressive mood symptoms in patients with affective disorders ( unipolar and bipolar disorders ) .
However , individual studies have reported on different and sometimes contradicting results , and no quantitative systematic review of the correlation between objective behavioral features and depressive mood symptoms has been published .
OBJECTIVE The objectives of this systematic review were to ( 1 ) provide an overview of the correlations between objective behavioral features and depressive mood symptoms reported in the literature and ( 2 ) investigate the strength and statistical significance of these correlations across studies .
The answers to these questions could potentially help identify which objective features have shown most promising results across studies .
Effects of a Sedentary Behavior-Inducing Randomized Controlled Intervention on Depression and Mood Profile in Active Young Adults.
OBJECTIVE To examine the effects of a free-living , sedentary behavior-inducing r and omized controlled intervention on depression and mood profile . PATIENTS AND METHODS Participants who were confirmed to be active via self-report and accelerometry were r and omly assigned to either a sedentary behavior intervention group ( n=26 ) or a control group  ( n=13 ) by using a 2:1 sample size ratio for intervention and control groups . The intervention group was asked to eliminate all exercise and minimize steps to 5000 or less steps/d for 1 week , whereas the control group was asked to continue normal physical activity levels for 1 week . Both groups completed a depression ( Patient Health Question naire-9 ) and mood ( Profile of Moods States ) survey preintervention and immediately postintervention . The intervention group was asked to resume normal physical activity levels for 1 week postintervention and then completed the assessment s for a third time . All data collection occurred between September 1 , 2015 , and December 1 , 2015 . RESULTS Patient Health Question naire-9 group × time interaction analysis revealed that depression scores significantly increased from visit 1 to visit 2 ( F=11.85 ; P=.001 ) . Paired t tests comparing depression scores from visit 2 to visit 3 exhibited a significant decrease from visit 2 to visit 3 ( P<.001 ) . Profile of Moods States group × time interaction analysis paralleled depression results ; mood scores significantly increased from visit 1 to visit 2 ( F=10.03 ; P=.003 ) and significantly decreased from visit 2 to visit 3 ( P<.001 ) . CONCLUSION A 1-week sedentary behavior-inducing intervention has deleterious effects on depression and mood . To prevent mental health decline in active individuals , consistent regular physical activity may be necessary
Hence , continuous and everyday monitoring of behavioral aspects in affective disorders could be a promising supplementary objective measure for estimating depressive mood symptoms .
BACKGROUND Several studies have recently reported on the correlation between objective behavioral features collected via mobile and wearable devices and depressive mood symptoms in patients with affective disorders ( unipolar and bipolar disorders ) .
However , individual studies have reported on different and sometimes contradicting results , and no quantitative systematic review of the correlation between objective behavioral features and depressive mood symptoms has been published .
OBJECTIVE The objectives of this systematic review were to ( 1 ) provide an overview of the correlations between objective behavioral features and depressive mood symptoms reported in the literature and ( 2 ) investigate the strength and statistical significance of these correlations across studies .
The answers to these questions could potentially help identify which objective features have shown most promising results across studies .