Table 2.

Association of Early Life State Health Risk Score with 2004 Objective Health Status (N=38,850).

	Beta Coefficient [95% CI]
	Model 1	Model 2	Model 3
State health risk score	0.13⁎⁎	0.13⁎⁎	0.12⁎⁎
	[0.070, 0.19]	[0.075, 0.18]	[0.059, 0.17]
Female	0.35⁎⁎	0.36⁎⁎	0.36⁎⁎
	[0.32, 0.38]	[0.34, 0.39]	[0.34, 0.39]
Race (ref=white)
Black	0.0052	−0.0074	−0.0083
	[−0.014, 0.024]	[−0.025, 0.010]	[−0.027, 0.011]
Hispanic	−0.033⁎	−0.043⁎⁎	−0.042⁎⁎
	[−0.059, −0.0071]	[−0.071, −0.015]	[−0.065, −0.018]
Other	−0.093⁎⁎	−0.093⁎⁎	−0.087⁎⁎
	[−0.13, −0.060]	[−0.12, −0.062]	[−0.12, −0.053]
Age	−0.0076⁎⁎	−0.0062⁎⁎	−0.0059⁎⁎
	[−0.012, −0.0029]	[−0.011, −0.0017]	[−0.0096, −0.0023]
Age-squared	0.00046⁎⁎	0.00045⁎⁎	0.00045⁎⁎
	[0.00041, 0.00051]	[0.00040, 0.00050]	[0.00041, 0.00050]
Hourly emp status		0.067⁎⁎	0.065⁎⁎
		[0.048, 0.086]	[0.049, 0.082]
Constant	−0.91⁎⁎	−0.99⁎⁎	−1.08⁎⁎
	[−1.03, −0.78]	[−1.11, −0.87]	[−1.24, −0.93]
Work state indicators	No	No	Yes
R-squared	0.37	0.37	0.38

Sample includes employees at Alcoa for whom administrative and claims data were available in 2004. Analyses were carried out on the 70% test subset of the sample using multivariate linear regression, with robust standard errors clustered by early life state-of-residence. State health risk score was constructed using a 30% training subset of the larger sample using standardized measures of early life state unemployment, median income, percentage with less than a high school education, percent urban, percent white, and Gini coefficient. Health status was calculated from claims data using a third-party algorithm.

^⁎P<0.05.

^⁎⁎P<0.01.