Developing a synthetic psychosocial stress measure and harmonizing CVD-risk data: a way forward to GxE meta- and mega-analyses

Table 1 Spearman’s correlation of synthetic and self-rated stress measures with CES-D depression measure

Dataset	Stress measure	Depression measure	Rho	P-value
MESA	Self-rated	Center for Epidemiological Studies-Depression Scale (CES-D)	0.35	< 0.0001
Framingham Offspring Cohort	Synthetic	CES-D	0.23	< 0.0001
CARDIA	Synthetic	CES-D	0.07	< 0.001
ARIC	Synthetic	Maastricht Vital Exhaustion Score	0.28	< 0.0001
WHI	Synthetic	Shortened CES-D	0.2	< 0.0001
JHS	Self-rated	CES-D	0.32	< 0.0001
CHASE	Synthetic	Beck Depression Inventory (BDI)	0.31	< 0.001
DFHS	Synthetic	CES-D	0.25	< 0.0001
Caregiver	Synthetic	CES-D	0.42	< 0.0001
STRRIDE-AT/RT	Synthetic	Self-rated	0.4	< 0.0001
STRRIDE-PD	Synthetic	Self-rated	0.54	< 0.0001
Combined estimate^a			0.27	< 0.0001

^a Combined estimate derived from mega-analytic partial correlation between standardized (z-scores) stress and depression measures whilst controlling for the effect of study variable in combined dataset

ISSN: 1756-0500