Artikkelen er åpent tilgjengelig her: jamanetwork.com/journals/jam...

And the paper (open access): jamanetwork.com/journals/jam...

I am really grateful to a fabulous team who has contributed to this work for more than 2 years, with expertise across eating disorders, epidemiology, developmental psychology, and genetics. Thank you! 💫

In sum, we identify high prevalence of ARFI in the general pediatric population, with elevated risk of more developmental difficulties for affected children. This is indicative of the need for broad support interventions. Finally, our findings advance understanding of genetic underpinnings of ARFI.

We subsequently conducted multiple genetic analyses. SNP-h2 ranged from 8-16%. Two genome-wide loci were identified and, for ARFI-clinical, an association with ADCY3. Small to moderate genetic correlations were observed across ARFI and numerous complex trait phenotypes.

We assessed numerous characteristics from socio-emotional and behavioral domains from 6 months years to 14 years. Across these timepoints, children with ARFI-broad persistent exhibited more developmental difficulties compared with children with no avoidant/restrictive food intake phenotypes.

Of children with data at 3 and 8 years (35,751), 32% were classified with any broad ARFI: 6% persistent, 18% transient, and 8% emergent. Prevalence of ARFI and at least one clinical indicator was 2% for persistent, 3% for transient, and 1% for emergent (6% in total).

We constructed avoidant/restrictive food intake (ARFI) phenotypes based on 3 and 8 year data, including transient (only 3), emergent (only 8), and persistent (both 3 and 8). Furthermore, we integrated symptom and registry data to identify multiple indicators of clinical significance.

6/6. Thanks to a great team :) @espenr.bsky.social @ragnhildbangnes.bsky.social Tilmann von Soest and @omidvebrahimi.bsky.social

5/6. This paper follows several articles in which we show how risk factors exhibit granular associations with mental disorder symptoms. Such relationships can be overlooked when global measures, such as (symptom) sum scores, are used.

See also:
doi.org/10.1016/j.ja...
doi.org/10.1037/amp0...

4/6. We describe three key findings:

1️⃣ Several symptom-specific associations were discernible.
2️⃣ Depressive symptoms were more strongly tied to financial adversity compared with anxiety.
3️⃣ Hopelessness about the future was most strongly connected to financial adversity.

3/6. We incorporate multiple subjectively assessed financial factors (e.g., ability to cope with unforeseen expenses) and register-based financial data (e.g., income, assets).

2/6. We apply a systems-based approach to identify symptom-specific relationships. Why? Financial adversity is complex and multidimensional and may exhibit granular associations with specific mental disorder symptoms (i.e., different mental health experiences).