Table 4:

Ranking of individual mortality predictors importance based on AUC criteria in from univariate logistic regressions.

	Adjusted Weights		Unadjusted Weights		Unweighted
Rank	Variable	AUC	Variable	AUC	Variable	AUC
1	TAC	0.783	TAC	0.784	TAC	0.753
2	MVPA	0.756	MVPA	0.757	Age	0.735
3	Age	0.747	Age	0.746	MVPA	0.729
4	ASTPsl/nw	0.745	Sedentary, Sleep, or Non-wear	0.745	ASTPsl/nw	0.727
5	Sedentary, Sleep, or Non-wear	0.744	ASTPsl/nw	0.745	Sedentary, Sleep, or Non-wear	0.724
6	TLAC	0.736	TLAC	0.738	TLAC	0.714
7	Mobility problem	0.679	Mobility problem	0.679	SATPsl/nw	0.654
8	SATPsl/nw	0.673	SATPsl/nw	0.675	Surrogate for si6	0.654
9	Surrogate for si6	0.662	Surrogate for si6	0.661	Mobility problem	0.651
10	Alcohol consumption	0.612	Alcohol consumption	0.609	Gender	0.582
11	Education	0.596	Education	0.597	Alcohol consumption	0.578
12	Cigarette smoking	0.594	Cigarette smoking	0.596	Surrogate for si1	0.573
13	Cancer	0.585	Cancer	0.585	Cigarette smoking	0.570
14	Surrogate for si1	0.580	Surrogate for si1	0.582	Cancer	0.568
15	Congestive heart failure	0.566	Congestive heart failure	0.567	Education	0.566
16	Gender	0.561	Gender	0.565	Congestive heart failure	0.558
17	Body mass index	0.559	Body mass index	0.560	Race	0.551
18	Diabetes	0.555	Diabetes	0.555	Body mass index	0.549
19	Coronary heart disease	0.548	Coronary heart disease	0.550	Diabetes	0.540
20	Stroke	0.540	Stroke	0.539	Coronary heart disease	0.540
21	Race	0.518	Race	0.518	Stroke	0.540
22	Wear time	0.444	Wear time	0.440	Wear time	0.493