Very cool paper, Maurizio! Nicely done! Maybe I missed it, but can you guide me to what exact questions you would propose for the 4-question and 8-question S-DERS? :)

Preprint here: osf.io/preprints/ps...

Thanks to all contributors: @drsarahsperry.bsky.social @eeskevanroekel.bsky.social, Manon Hillegers, and Esther Mesman! ✨

Feedback, questions, or collaboration ideas welcome!

#ESM #MentalHealth #AffectDynamics #DigitalPhenotyping #Psychology #OpenScience

Our findings suggest a key role for positive affect, showing a clear target for interventions: boost positive emotions to support mood, especially in those most at risk.

While affect-behavior coupling did not differ by risk or psychopathology group, people with familial risk or recurrent mood disorders did show lower average positive affect and higher average negative affect.

We also found:
– 😁 More positive affect → less smartphone use later 📱
– 📱 More smartphone use → more negative affect later ☹️

These links held across participants, regardless of familial risk status or history of mood disorders.

We used Dynamic Structural Equation Modeling to test bidirectional within-person dynamics between affect and behavior.

Key finding:
🚶🏻‍♀️Physical activity ↔ Positive affect 😁
They predicted each other over time.

Participants completed 14 days of experience sampling (5×/day) and passive sensing.

We tracked:
– Positive & negative affect
– Physical activity
– Smartphone use

Our sample included 82 adults from the Dutch Bipolar Offspring Study 22-year follow-up, alongside 46 controls without familial risk.

We examined how affect and behavior relate, depending on family risk and history of mood disorders.

New preprint out now!

We studied how momentary affect and daily life behaviors interact in real time in adults with and without familial risk for mood disorders.

🚶🏻‍♀️📱😁☹️

This study proves the power of long-term research in shaping better support for families at risk of mood disorders. 💡

Check out our paper in #JAACAP here: sciencedirect.com/science/arti...

#MentalHealth #BipolarDisorder #Research

5️⃣ Early detection is 🔑.

Severe disorders often begin with mild symptoms. Let’s catch them early to provide better outcomes.

4️⃣ Resilience shines. ✨

Despite challenges, most participants maintained stable jobs and relationships.

3️⃣ Mental health support matters.

71% sought professional care.
26% used medication.

Accessible support systems are vital for families at risk.

2️⃣ 65% lifetime mood disorder risk.

Offspring of parents with BD face high risks. MDD cases doubled between ages 28–38.

1️⃣ BD risk stabilizes after age 30.

No new BD cases emerged after 28. This highlights a critical window for intergenerational risk and early intervention.

🎉 Honored to receive the Ralph Kupka Penning 2024 from #KenBiS for our 22-year study on offspring of parents with bipolar disorder!

Big thanks to our team (Manon Hillegers & Esther Mesman) and the brave participants who made this possible. 💙

Here’s what we found 👇