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Table 3 Linear regression results. Coefficients represent the changes in the number of exceptionally aged individuals (per 10,000) or years of life expectancy corresponding to a one-unit increase in the explanatory variables (units given in parenthesis)

From: Countervailing effects of income, air pollution, smoking, and obesity on aging and life expectancy: population-based study of U.S. Counties

 

Unadjusted Models

Full Models

Variable (Units)

EA

LE††

EA

LE††

PM2.5 (μg/m3)

−33.68**

−0.12**

−20.22**

−0.05**

Median Income ($1000s)

27.39**

0.14**

12.32**

0.07**

Daily Smokers (%)

−34.79**

−0.16**

Obesity Prevalence (%)

−30.27**

−0.12**

Black (%)

2.38**

−0.04**

1.27*

−0.05**

Hispanic (%)

4.58**

0.02**

−0.39

0

Median Age (Years)

−51.08**

−0.11**

−32.54**

−0.06**

Over 65 (%)

61.37**

0.17**

39.74**

0.10**

Migration Rates

1980s, 55–60-year-olds

−7.51**

−8.14**

1980s, 60–64-year-olds

21.07**

21.07**

1990s, 65–70-year-olds

−9.21**

−9.92**

1990s, 70–74-year-olds

26.46**

29.19**

2000s, 75+ year-olds

21.64**

21.4**

Census Division Indicators§

Included

Included

Included

Included

R2

0.87

0.78

0.89

0.85

N

2,996

2,996

2,996

2,996

  1. *p < 0.05; **p < 0.001
  2. † Exceptional Aging (regressions weighted by square root of county population)
  3. †† Life Expectancy (regressions weighted by inverse of life expectancy confidence intervals)
  4. ‡ Age-specific migration rates were calculated by the net migration over the given decade divided by the expected population at the end of the decade, times 100, where net migration is the observed final population minus the expected final population
  5. § The nine census divisions are defined as follows by the U.S. Census Bureau: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain, Pacific