Skip to main content
. 2016 Apr 30;2:269–276. doi: 10.1016/j.ssmph.2016.04.005

Table 5.

Association of Early Life State Mortality Risk Score with Mortality among Movers vs. Stayers (N=100,687).

Hazard Ratio [95% CI]
Model 1 Model 2 Model 3
State mortality risk score 0.99 1.00 0.96
[0.69, 1.43] [0.70, 1.44] [0.65, 1.40]
Moved 0.97 1.00 1.02
[0.89, 1.05] [0.93, 1.08] [0.95, 1.10]
State health risk score ×Moved 1.04 1.03 1.08
[0.84, 1.29] [0.84, 1.28] [0.85, 1.37]
Female 0.73⁎⁎ 0.74⁎⁎ 0.76⁎⁎
[0.67, 0.79] [0.68, 0.82] [0.70, 0.84]
Race (ref=white)
 Black 1.22⁎⁎ 1.16⁎⁎ 1.13⁎⁎
[1.13, 1.32] [1.07, 1.25] [1.06, 1.21]
 Hispanic 0.74⁎⁎ 0.71⁎⁎ 0.68⁎⁎
[0.60, 0.90] [0.58, 0.86] [0.56, 0.82]
 Other 0.73 0.73 0.70
[0.51, 1.05] [0.51, 1.05] [0.49, 1.01]
Hourly emp status 1.21⁎⁎ 1.21⁎⁎
[1.15, 1.27] [1.15, 1.27]
Work state indicators No No Yes

Sample includes employees at Alcoa for whom we have administrative data. Movers are those whose early life and work life states-of-residence differed. Analyses were carried out on the 70% test subset of the sample using Cox proportional hazards models, with robust standard errors clustered by early life state-of-residence. Additional controls included 10-year birth cohort. State mortality 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.

P<0.05.

⁎⁎

P<0.01.