Eine Studie, die mit tragbaren Aktivitätsmonitoren an 354 Teilnehmern im Alter von durchschnittlich 23 Jahren durchgeführt wurde, zeigt, dass der Austausch von nur 30 Minuten Sitzen gegen leichte Aktivität die Energie und die Stimmung am nächsten Tag steigert

>UT Arlington kinesiology Professor Yue Liao joined a research team from Monash University in Australia to track more than 350 young adults using wearable activity monitors. The study found that on days when participants engaged in light activity—such as walking or doing chores—instead of sitting, they felt better and more energetic the next day.
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>“This study indicated that light activity—where you don’t have to go to the gym or do intense exercise—can lead to better feelings the next day when it replaces sedentary behavior,” Dr. Liao said. “One doesn’t have to think, ‘I have to run,’ or ‘I have to do these big things.’ Just sitting less and moving more can have an immediate impact on your mood the next day.”
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>This finding is particularly relevant given current habits. A January 2024 study by smart seating company Kalogon found that 38% of U.S. adults sit nine or more hours a day. Replacing even a portion of that time with light activity can pay off in meaningful ways.
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>The research, recently published in Psychology of Sport and Exercise, found that light activity had the strongest link to boosting mood and energy the next day. Moderate to vigorous exercise, such as running or gym workouts, was associated with modest mood benefits, while sedentary time—sitting or lying awake—was linked to worse mood the next day. The study also examined sleep duration but found no clear effect on next-day mood among the young adults studied

> Liao also emphasized that the mood benefits weren’t about comparing one’s activity level to others. Instead, the improvements came from a “within-person” effect—making subtle, self-directed changes in daily activity.

[Daily, prospective associations of sleep, physical activity, and sedentary behaviour with affect: A Bayesian multilevel compositional data analysis – ScienceDirect](https://www.sciencedirect.com/science/article/pii/S1469029225001967?via%3Dihub)