Background
In the first month of the US COVID-19 epidemic, the prevalence of depressive symptoms was higher than that in 2017–2018 1. No studies have elucidated trends in the prevalence of depression and anxiety later in the pandemic.
Objective
To describe trends in the proportion of the US population for whom screening questionnaires indicate a high likelihood of depression or anxiety symptoms during the spring and summer of 2020.
Methods
We analyzed the Census Bureau’s Household Pulse Survey, a nationally representative survey of adults conducted between April 23 and July 21, 2020. The survey was administered to twelve samples covering about 13 weeks; households were interviewed for up to three consecutive weeks. Respondents completed a version of the Patient Health Questionnaire (PHQ-2) and Generalized Anxiety Disorder (GAD-2) questionnaires, both modified to assess the frequency of symptoms over one week rather than two. For both, a score of 3 indicates a high probability of the disorder when used in an outpatient setting 2. Weighted response rates ranged from 1.3 to 3.8% by week.
We conducted repeated cross-sectional analyses without linkage of individuals across sample weeks, and tabulated the proportion of respondents with PHQ-2 or GAD-2 score ≥3 in each survey week (hereinafter those with “positive screenings” for depression or anxiety).
We analyzed changes in prevalence from the first to the final week in our sample using linear probability regressions, and assessed differences between subgroups using regressions adjusted for a week indicator, a subgroup indicator, and a week*subgroup interaction term (Linear probability regression was chosen to facilitate interpretation of interaction terms). Subgroups included respondent race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian, other), sex (male, female), family income (<$25,000; $25,000-$50,000, $50,000-$100,000, $100,000+), education (less than high school, high school, some college, or more), age in categories, and quintile of state-level COVID-19 incidence (measured by the 7-day moving average of new cases/100,000 on July 21 2020 3). For all analyses, we used Stata 16.1, sample weights from the Census Bureau to generate nationally representative estimates, and replicate weights to calculate standard errors.
Results
Of the 1,088,314 non-unique respondents to the survey, 988,349 (90.8%) completed the anxiety and depression screenings and were included in the study. Included participants had a mean age of 48.4 years and 51.5% were female.
Figure 1 shows week-to-week trends in positive screenings for depression, anxiety, or either, which rose from 35.9 to 40.9% over the study period (p<0.001).
Table 1 provides week 1–2 and week 13 estimates by subgroup. At both time points, women, younger individuals, racial/ethnic minorities, those with less education, and persons with lower incomes experienced higher rates of a positive screen for depression/anxiety. Table 1 provides adjusted difference-in-difference estimates. Men had a larger increase in depression/anxiety than women (2.1 percentage points, 95% CI 2.0, 2.2), as did individuals with family incomes $25,000–$50,000 relative to those with incomes ≥$100,000 (4.2 percentage points, 95% CI 1.8, 6.6). Individuals living in states with higher recent COVID incidence experienced larger increases in depression/anxiety relative to those in the lowest incidence quintile (p<0.001 for each comparison).
Table 1.
Prevalence of positive screening for anxiety or depression | ||||||
---|---|---|---|---|---|---|
Unadjusted results | Adjusted results | |||||
April 23–May 5, 2020 | July 16–July 21, 2020 | Absolute change (95% CI) | p value | DiD estimate (95% CI) | p | |
All respondents n=988,349 | ||||||
35.9 | 40.9 | 5.0 (4.6, 5.4) | <0.001 | NA | NA | |
Sex | ||||||
Male | 31.0 | 37.0 | 6.1 (5.7,6.5) | <0.001 | Reference | – |
Female | 40.7 | 44.6 | 4.0 (3.4,4.5) | <0.001 | −2.1 (−2.2, −2.0) | <0.001 |
Age | ||||||
18–44 | 41.9 | 49.3 | 7.5 (7.4,7.5) | <0.001 | 3.6 (3.6,3.7) | <0.001 |
45–65 | 35.7 | 39.5 | 3.8 (3.8,3.9) | 0.001 | Reference | – |
65+ | 23.6 | 25.4 | 1.8 (−0.30,3.9) | 0.09 | −2.0 (−4.0,.1) | 0.06 |
Education | ||||||
<HS | 45.4 | 47.3 | 2.0 (−0.40,4.3) | 0.10 | −2.9 (−5.4, −.38) | 0.02 |
HS | 36.7 | 42.2 | 5.5 (4.0,7.1) | <.001 | .6 (−.68 , 2.0) | 0.34 |
Some college | 34.5 | 39.4 | 4.9 (4.7,5.1) | <.001 | Reference | – |
Race | ||||||
Non-Hispanic White |
33.6 | 38.8 | 5.3 (4.5,6.1) | <0.001 | Reference | – |
Non-Hispanic Black |
38.9 | 42.6 | 3.8 (3.2,4.4) | <0.001 | −1.5 (−2.9, −.10) | 0.04 |
Non-Hispanic Asian |
31.9 | 40.3 | 8.4 (2.5,14.3) | 0.006 | 3.1 (−2.0,8.2) | 0.23 |
Non-Hispanic Other |
43.9 | 48.8 | 4.9 (3.5,6.3) | <0.001 | −.4 (−.98,.17) | 0.16 |
Hispanic | 42.7 | 46.3 | 3.6 (1.4,5.8) | 0.002 | −1.7 (−4.7,1.4) | 0.28 |
2019 family income * | ||||||
<$25K | 51.0 | 54.1 | 3.1 (0.70,5.4) | 0.01 | −1.0 (−3.9, 1.9) | 0.52 |
$25K–50K | 38.9 | 47.1 | 8.2 (6.4,10.1) | <0.001 | 4.2 (1.8,6.6) | 0.001 |
$50K–100K | 34.3 | 37.7 | 3.4 (2.8,4.0) | <0.001 | −0.62 (−0.65, −0.59) | <0.001 |
$100K + | 26.8 | 30.8 | 4.0 (3.5,4.6) | <0.001 | Reference | – |
COVID infection rate in state† | ||||||
Lowest quintile | 38.4 | 37.7 | −0.7 (−1.4, −0.02) | 0.04 | Reference | – |
Quintile 2 | 35.3 | 41.1 | 5.8 (5.2,6.4) | <.001 | 6.5 (6.4,6.6) | <0.001 |
Quintile 3 | 35.1 | 41.0 | 5.9 (4.2,7.6) | <.001 | 6.6 (4.2,9.0) | <0.001 |
Quintile 4 | 34.8 | 44.2 | 9.4 (9.4,9.5) | <.001 | 10.1 (9.4,10.9) | <0.001 |
Highest quintile | 35.8 | 42.2 | 6.4 (5.2,7.6) | <.001 | 7.1 (5.2, 9.0) | <0.001 |
Discussion
A substantial and rising share of the US population had positive screening tests for anxiety and depression symptoms during the spring and summer of 2020, amounting to 11.6 million more adults with mood symptoms over our study period. Although differential rates of increase between subgroups were modest, these results suggest a prevalence of depression/anxiety symptoms over three times that of 2019 baseline data 4.
Our study has limitations. Since the modified questionnaires in our study assessed for symptoms over one week rather than two, the sensitivities are likely higher and the specificities lower than the traditional PHQ-2 and GAD-2. Compositional changes in the survey sample or confounding events (such as reactions to the murder of George Floyd or the federal election) could contribute to observed trends. Our finding on the effect of COVID-19 rates rests on incidence over a single week. Finally, seasonal variation in mood is a potential concern; however, previous analyses show that mood symptoms do not typically worsen from spring to summer 4.
Our findings indicate that rates of mental distress were high, and worsened, during spring and summer 2020, and should serve as a reminder for practitioners to evaluate patients’ need for mental health care.
Acknowledgements
The authors thank Dr. David Bor, Dr. Sam Dickman, Dr. Jessica Himmelstein, Dr. Danny McCormick, and Dr. Jenny Wen for their feedback on previous versions of this manuscript.
Declarations
Conflict of Interest
The authors declare that they do not have a conflict of interest.
Footnotes
Prior Presentations: None
Publisher’s Note
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References
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