Multivariable Multinomial Logistic Regression comparing clusters three (most sympathetic) and cluster one (most condemning) with cluster two as the reference category (weighted).

<p>Multivariable Multinomial Logistic Regression comparing clusters three (most sympathetic) and cluster one (most condemning) with cluster two as the reference category (weighted).</p

Association of Depression category with cluster membership (fully adjusted model).

<p>Cluster 2 is reference.</p><p>Repeating the analysis after removing the suicide item from the PHQ9 measure of depression produces the same overall findings.</p><p>Association of Depression category with cluster membership (fully adjusted model).</p

Demographics of Focus Group 1.

<p>Age Range 22–56.</p

Spearman correlation coefficients between items of SyfoR (unweighted raw data).

<p>Bold font = significant to a p = or <0.01 level.</p

Demographic, psychosocial & health characteristics.

<p>Demographic, psychosocial & health characteristics.</p

Psychosocial and health characteristics by clusters (multivariable, weighted data).

<p>Psychosocial and health characteristics by clusters (multivariable, weighted data).</p

Demographic characteristics by clusters (univariable, weighted data).

<p>Demographic characteristics by clusters (univariable, weighted data).</p

Logistic Regression Models showing univariate relationship with radicalisation outcome.

<p>Logistic Regression Models showing univariate relationship with radicalisation outcome.</p

Principal components analysis of the 16 items developed through focus groups to measure radicalisation <i>(orthogonal rotated solution presented)</i> (obs = 575. 58 parameters).

<p>*indicates reverse scored so sympathies are always consistently towards radicalisation.</p

Additional file 2: of Ethnic inequalities and pathways to care in psychosis in England: a systematic review and meta-analysis

AMSTAR quality assessment (for review of reviews). (DOCX 39 kb