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Intersectional inequalities in somatic symptom severity: A trans-diagnostic MAIHDA analysis of SOMACROSS data
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DOI：10.1016/j.jpsychores.2026.112918.png)
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Abstract
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• Trans-diagnostic patient sample pooled from five different SOMACROSS projects. • MAIHDA analysis of PHQ-15 across gender, education, and history of migration. • Gender showed the strongest association with severity, followed by education. • Additive rather than multiplicative effects of social factors on symptom severity. • Targeting social factors benefits multiple groups via proportionate universalism.
Keywords:
Intersectional inequalities
MAIHDA
Trans-diagnostic data
SOMACROSS
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