Fleur GL Helmink
@fglhelmink.bsky.social
mental health | emotions | digital phenotyping | bipolar disorder | intergenerational risk
PhD candidate Erasmus MC Rotterdam | Fulbright scholar alum The EmoTe Lab, University of Michigan
PhD candidate Erasmus MC Rotterdam | Fulbright scholar alum The EmoTe Lab, University of Michigan
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.
– 😁 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.
August 1, 2025 at 3:54 PM
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.
– 😁 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.
Key finding:
🚶🏻♀️Physical activity ↔ Positive affect 😁
They predicted each other over time.
August 1, 2025 at 3:54 PM
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.
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
We tracked:
– Positive & negative affect
– Physical activity
– Smartphone use
August 1, 2025 at 3:54 PM
Participants completed 14 days of experience sampling (5×/day) and passive sensing.
We tracked:
– Positive & negative affect
– Physical activity
– Smartphone use
We tracked:
– Positive & negative affect
– Physical activity
– Smartphone use
2️⃣ 65% lifetime mood disorder risk.
Offspring of parents with BD face high risks. MDD cases doubled between ages 28–38.
Offspring of parents with BD face high risks. MDD cases doubled between ages 28–38.
November 15, 2024 at 6:05 PM
2️⃣ 65% lifetime mood disorder risk.
Offspring of parents with BD face high risks. MDD cases doubled between ages 28–38.
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.
No new BD cases emerged after 28. This highlights a critical window for intergenerational risk and early intervention.
November 15, 2024 at 6:05 PM
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.
No new BD cases emerged after 28. This highlights a critical window for intergenerational risk and early intervention.