TABLE 2.

Allostatic Load Nine Cluster Solution

Clustersa
	1	2	3	4	5	6	7	8	9
	Low Cholesterol	Healthy	High Blood Pressure	Low Stress Hormones	Metabolic Syndrome	High Blood Sugar	Low Stress Antagonist	High Stress Hormones	High Pro- Inflammatory Elements
Factor/Componentsb Range (min–max)										ANOVA F-testc
Stress hormones (−3.02 to 3.11)	−0.79d	0.33	0.35	−0.92	0.66	−0.22	−.62	1.03	−0.30	118.41e
Metabolic syndrome (−2.81 to 2.90)	−0.55	−1.08	−0.40	0.16	1.22	1.00	−0.74	12	0.95	177.97e
Pro-inflammatory (−3.03 to 3.08)	−0.41	−1.19	−0.71	0.29	0.99	0.57	−0.27	0.12	1.08	154.72e
Cholesterol (−4.69 to 2.75)	−1.12	0.06	0.42	0.73	0.73	−0.01	−0.08	−0.69	−0.82	93.77
Blood sugars (−1.83 to 6.70)	−0.32	−0.48	−0.36	−0.13	0.18	3.71	−0.25	0.08	0.36	215.42e
Stress antagonists (−3.86 to 2.26)	0.31	0.22	0.58	0.14	0.35	−0.10	−1.7	0.30	−0.73	102.06e
Blood pressure (−3.91 to 3.17)	−0.60	−1.10	0.94	−0.06	0.47	0.26	0.15	0.21	−0.52	80.78e
	N = 96f	N = 138	N = 155	N = 169	N = 144	N = 35	N = 109	N = 146	N = 104

^aThis nine-cluster solution was obtained using k-means, with standard Euclidian distance measures; convergence criterion was set to zero.

^bThese are the seven factors from Table 1, used to construct the different profiles for the nine clusters. Included below each factor is its min and max score possible, which comes from summing the biomarkers that loaded on it and converting this sum into a z-score.

^cUnstandardized F scores (ANOVA) demonstrating, for descriptive purposes only, the relative impact the seven factors had in determining cluster membership

^dThe score for each case, for each of the seven factors, was computed (as noted in b above) by summing each case’s scores on the biomarkers for each factor, as shown in Table 1. In turn, these summed factor scores were converted into z-scores to normalize the data.

^eF test was significant at.000. The factors with the three highest scores are highlighted.

^fNumber of cases in each cluster.