Table 3.
Regression coefficients for the relationship between adolescent socioeconomic context and log EBV antibody titers (au/mL) in young adulthood (N = 13162)a.
| β (Standard error) | ||||
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | |
| Sex | ||||
| Female | 0.15 (0.02)*** | 0.15 (0.02)*** | 0.15 (0.02)*** | 0.15 (0.02)*** |
| Male | – | – | – | – |
| Age | 0.01 (0.01)** | 0.02 (0.00)** | 0.02 (0.00)** | 0.02 (0.00)** |
| Race | ||||
| Black | 0.20 (0.03)*** | 0.20 (0.03)*** | 0.20 (0.03)*** | 0.20 (0.02)*** |
| Asian | −0.01 (0.04) | −0.01 (0.04) | −0.01 (0.04) | −0.02 (0.04) |
| Hispanic | 0.09 (0.03)** | 0.08 (0.03)* | 0.08 (0.03)** | 0.08 (0.03)* |
| Multi-racial, Native American, other | 0.09 (0.03)** | 0.09 (0.03)** | 0.09 (0.03)** | 0.09 (0.03)** |
| White | – | – | – | – |
| Smoker in home, Wave 1 | ||||
| Missing | 0.04 (0.03) | 0.04 (0.03) | 0.07 (0.04)~ | 0.03 (0.03) |
| Yes | 0.05 (0.02)** | 0.04 (0.02) ~ | 0.05 (0.02)* | 0.04 (0.02)* |
| No | – | – | – | – |
| Parent education | ||||
| Parent did not attend or uncertain | 0.00 (0.06) | |||
| Less than high school | 0.07 (0.03) ~ | |||
| High school/GED/Vocational high school | 0.10 (0.03)** | |||
| Some voc. or tech. post-sec. | 0.07 (0.04) ~ | |||
| Some college | 0.09 (0.03)** | |||
| College | 0.05 (0.03) | |||
| >College degree | – | |||
| Family income, Wave 1 | ||||
| Missing | 0.00 (0.03) | |||
| <$20,000 | 0.04 (0.03) | |||
| $20,001–$40,000 | 0.05 (0.03) ~ | |||
| $40,001–$60,000 | 0.01 (0.03) | |||
| >$60,000 | – | |||
| Parent occupation, Wave 1 | ||||
| Missing | 0.05 (0.03) ~ | |||
| Service/construction/military | 0.07 (0.02)** | |||
| Technical/sales/office worker | 0.05 (0.02)* | |||
| Professional/manager | – | |||
| R2 | 0.03 | 0.03 | 0.03 | 0.03 |
***
p < .0001,
**
p < .01,
*
p < .05,
~
p < .10.
a
All models are weighted and take into account complex sample design. Beta-coefficients are based on linear regression models predicting log-transformed EBV antibody titers.