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. 2021 Apr 12;129(4):047009. doi: 10.1289/EHP8368

Table 2.

Spearman correlation coefficients between component exposure at participant addresses estimated from supervised linear regression and random forest models (N=323,782).

Subcohort PM2.5 Cu PM2.5 Fe PM2.5 K PM2.5 Ni PM2.5 S PM2.5 Si PM2.5 V PM2.5 Zn
Averagea 0.81 0.84 0.22 0.33 0.59 0.56 0.27 0.60
CEANS-SDPP 0.27 0.72 0.16 0.24 0.48 0.01 0.16 0.27
CEANS-SIXTY 0.86 0.89 0.09 0.44 0.39 0.76 0.07 0.45
CEANS-SALT 0.88 0.91 0.09 0.47 0.38 0.81 0.11 0.44
CEANS-SNACK 0.86 0.90 0.49 0.47 0.79 0.70 0.39 0.53
DCH 0.94 0.89 0.37 0.69 0.78 0.53 0.58 0.61
DNC-1993 0.80 0.79 0.31 0.45 0.72 0.43 0.35 0.63
DNC-1999 0.77 0.78 0.35 0.43 0.70 0.41 0.34 0.63
EPIC-NL-MORGEN 0.92 0.93 0.82 0.89 0.20 0.59 0.7 0.52
EPIC-NL-Prospect 0.94 0.94 0.11 0.09 0.58 0.82 0.22 0.71
HNR 0.81 0.70 0.33 0.53 0.56 0.72 0.53 0.79
E3N 0.90 0.89 0.62 0.51 0.67 0.55 0.72 0.83
KORA-S3 0.71 0.84 0.23 0.17 0.62 0.79 0.03 0.55
KORA-S4 0.77 0.85 0.03 0.10 0.59 0.85 0.22 0.67
VHM&PP 0.88 0.74 0.89 0.51 0.79 0.16 0.22 0.74

Note: CEANS, Cardiovascular Effects of Air Pollution and Noise in Stockholm; Cu, copper; DCH, Diet, Cancer and Health cohort; DNC, Danish Nurse Cohort (1993 and 1999); EPIC-NL, European Prospective Investigation into Cancer and Nutrition–Netherlands cohort; E3N, Etude Epidémiologique auprès de femmes de la Mutuelle Générale de l’Education Nationale; Fe, iron; HNR, Heinz Nixdorf Recall study; K, potassium; KORA, the Cooperative Health Research in the Region of Augsburg [1994–1995 (S3) and 1999–2001 (S4)], MORGEN, Monitoring Project on Risk Factors and Chronic Diseases in the Netherlands; Ni, nickel; PM2.5, fine particulate matter; S, sulfur; SALT, Stockholm Screening Across the Lifespan Twin study; SDPP, Stockholm Diabetes Prevention Program; Si, silicon; SIXTY, Stockholm Cohort of 60-Year-Olds; SNACK, Swedish National Study on Aging and Care in Kungsholmen; V, vanadium; VHM&PP, Vorarlberg Health Monitoring and Prevention Program; Zn, zinc.

a

Average of cohort-specific correlation coefficients. Cohort-specific correlations are shown because the analyses mostly exploit within-cohort exposure contrasts (i.e., stratified by subcohort identification).