Table 1.
Estimates of Average Residualized Continuous Exposure on Health Indicators, NLSY97
| Health status | BMI | Depression | Smoking | Days smoking last month | |
|---|---|---|---|---|---|
| Unadjusted models | |||||
| Rank–rank | 0.02 (0.04) | 0.04 (0.13) | 0.02* (0.01) | 022*** (0.04) | 0.21*** (0.04) |
| Upward mobility × −1 | 0.04 (0.04) | −0.04 (0.16) | 0.02* (0.01) | 0.21*** (0.05) | 0.20*** (0.05) |
| Gini | 0.01 (0.03) | −0.08 (0.11) | −0.00 (0.01) | −0.15*** (0.03) | −0.16*** (0.03) |
| Adjusted models | |||||
| Rank–rank | −0.03 (0.04) | 0.33* (0.16) | 0.01 (0.01) | 0.12** (0.05) | 0.11** (0.04) |
| Upward mobility × −1 | 0.02 (0.05) | 0.11 (0.15) | 0.01 (0.01) | 0.07 (0.05) | 0.05 (0.04) |
| Gini | 0.02 (0.04) | −0.07 (0.11) | −0.01 (0.01) | −0.05 (0.04) | −0.07* (0.03) |
| Individuals | 8,810 | 8,810 | 8,810 | 8,810 | 8,810 |
Notes: NLSY97 = National Longitudinal Survey of Youth 1997; BMI = body mass index. Each coefficient represents a model. Coefficients and standard errors are combined estimates from 20 multiple imputed data sets. Analyses based on exposure from 12 to 20 years old. We estimate different models depending on the outcome: ordinal regression (self-reported health), general linear model (BMI, depression), logistic regression (smoking), quasi-Poisson regression (days smoking last month).
***p < .001, **p < .01, *p < .05.