Table 1.
Demographic characteristics and depression levels in the NHANES 2017–2018 sample (N = 5075) and the March (N = 6819) and April (N = 5428) waves of the Understanding America Study.
| Year / Wave | 2017–2018 | March 2020a | April 2020a |
|---|---|---|---|
| N | 5075 | 6819 | 5428 |
| Mean (SD) /% | Mean (SD) /% | Mean (SD) /% | |
| Age, years | 47.2 (17.6) | 48.4⁎⁎ (16.6) | 48.4* (16.3) |
| Female | 51.8 | 51.6 | 51.7 |
| Race/ethnicity | |||
| Hispanic | 15.7 | 16.2 | 16.8 |
| White | 63.0 | 65.9 | 65.9 |
| Black | 11.2 | 12.0 | 11.8 |
| Other race/ethnicity | 10.1 | 6.0⁎⁎⁎ | 5.6⁎⁎⁎ |
| College degree | 30.3 | 34.1⁎⁎ | 34.1⁎⁎ |
| High income household ($) | 62,139 (30,804) | 62,051 (42,159) | 61,933 (41,924) |
| Depression (mean levels) | .69 (1.25) | 0.82⁎⁎⁎ (1.42) | 1.08⁎⁎⁎ (1.56) |
| Depression (%) | 8.9 | 10.5* | 14.2⁎⁎⁎ |
Note: Weighted values are reported.
a
Simple linear regression analysis was used to test for differences in age, income, and depression (mean levels) between study 2017–2018 and March and April, 2020 waves. Binary and multinomial logistic regression analyses were used to test for differences in sex, race/ethnicity, education, and depression (%) between 2017-2018 and March and April, 2020 waves.
⁎
p < .05. ⁎⁎p < .01. ⁎⁎⁎p < .001.