Janis Fiedler

@fiejanis.bsky.social

PostDoc @KIT | wearable technology and mHealth Behavior Change | Exercise Physiology | enthusiastic R amateur | Views are my own https://orcid.org/0000-0002-9291-2191

New in JMIR mhealth: A Refined #Mobile #Health Intervention (SMARTFAMILY2.0) to Promote #PhysicalActivity and Healthy Eating in a Family Setting: Randomized Controlled Trial

A Refined #Mobile #Health Intervention (SMARTFAMILY2.0) to Promote #PhysicalActivity and Healthy Eating in a Family Setting: Randomized Controlled Trial

Background: Many #Mobile #Health (#mHealth) apps focus on promoting #PhysicalActivity (PA) and healthy eating (HE). However, there is limited empirical evidence regarding their effectiveness in initiating and sustaining behavior change, particularly among children and adolescents. Considering that behavior is influenced by social contexts, it is essential to take core settings like family dynamics into account when designing #mHealth apps. Objective: The purpose of this study was to further develop and refine the SMARTFAMILY (SF) #App targeting PA and HE in a collective family-based setting by enhancing design and usability, as well as by adding gamification aspects, #Health literacy, and just-in-time adaptive interventions to the first version of the #App. Methods: The SF2.0 #App, based on behavior change theories and techniques, was developed, implemented, and evaluated. The #App was used in a collective family setting, with family members using it individually and cooperatively. In a cluster-randomized controlled trial, the intervention group (IG) used the #App for 3 consecutive weeks, while the control group (CG) received no treatment. Primary outcomes included PA measured through self-reports and accelerometry, as well as self-reported fruit and vegetable intake (FVI) for HE. Secondary outcomes included intrinsic motivation, behavior-specific self-efficacy, and the Family #Health Climate. A follow-up assessment (T2) was conducted 4 weeks after the postmeasurement (T1) to assess intervention effects. Multilevel analyses were performed in R (R Foundation for Statistical Computing), considering the hierarchical structure of individuals (level 1) within families (level 2). Results: Overall, 55 families (28 CG, 105/209; 27 IG, 104/209 participants) were recruited for the study. In total, 3 families (3 CG, n=12) chose to drop out of the study due to personal reasons before T0. Overall, no evidence for meaningful and statistically significant increases in PA was observed in favor of the IG of our physically active sample. However, the #App elucidated positive effects in favor of the IG for FVI diary (T0-T1; P=.03), joint PA (T0-T1; P=.02 and T0-T2; P

dlvr.it

🎓I'm thrilled to share that I've successfully defended my doctoral dissertation on July 25, 25. I want to extend my heartfelt gratitude to my esteemed supervisors, Dr. Marco Giurgiu & Prof. Markus Reichert & Prof. Uli Ebner-Priemer, for their invaluable guidance and support 🙏 @mhealthlab.bsky.social

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Thanks to everybody who chimed in! I arrived at the conclusion that (1) there's a lot of interesting stuff about interactions and (2) the figure I was looking for does not exist. So, I made it myself! Here's a simple illustration of how to control for confounding in interactions:>

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Julia M. Rohrer@dingdingpeng.the100.ci · last yr.

Does anybody have a good visualization to explain how interactions can be confounded, and why interactions require interaction controls? @urisohn.bsky.social maybe? (Asking because I have an idea, but want to check out what exists already before investing the effort)

In der Promotion fand ich Schreiben oft quälend, hab mit jeder Formulierung gekämpft & gehadert. Das hat sich inzwischen zum Glück verändert — v.a. durch Schreibkollaborationen, die das Zutrauen in mein Schreiben gestärkt haben, & durch Routine. Was ich daraus gelernt hab: Heute in #ArbeitInDerWiss!

Weiter im Text: Vom Schreiben inner- und außerhalb der Wissenschaft

Der beste Text ist einer, der gut genug ist, um fertig zu sein.

arbeitinderwissenschaft.substack.com

The problem with working on big high-risk projects is they don't always end in the glorious impactful work. If they're truly 'high risk', they often just end in failure. Or else requiring huge effort to save. I'm painfully learning this lesson after seeing a few of my 'flagship' projects crash. 🧵