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Journal of General Internal Medicine logoLink to Journal of General Internal Medicine
letter
. 2022 Dec 12;38(2):558–561. doi: 10.1007/s11606-022-07978-4

Anxiety and Depression Risk Among Healthcare Workers During the COVID-19 Pandemic: Findings from the US Census Household Pulse Survey

Oliver T Nguyen 1,, Lisa J Merlo 2, Katherine A Meese 3, Kea Turner 1,4,5, Amir Alishahi Tabriz 1,4,5
PMCID: PMC9744364  PMID: 36510040

BACKGROUND

The COVID-19 pandemic is a persistent stressor for healthcare workers (HCWs) globally. Systematic reviews demonstrate that many HCWs reported heightened levels of anxiety and depressive symptoms during the initial stages of the pandemic.1,2 However, most studies used data from non-US health systems and may reflect systemic differences in COVID-19 response compared to the US health system (e.g., lockdown measures). Quantifying and identifying correlates of pandemic-related mental health burden among US HCWs can inform policy and intervention design as part of the national response to COVID-19-related distress among HCWs. This study assessed the prevalence and determinants of anxiety and depression risk among US HCWs during the COVID-19 pandemic.

METHODS

We used July 2021–May 2022 U.S. Census Bureau Household Pulse survey data, which included anxiety and depression screenings, demographic factors (sex, race, ethnicity, age, disability, COVID-19 vaccination status), and social determinants of health (living alone, marital status, having children, financial hardship, US region).3 We restricted the sample to HCW respondents (unweighted n=39,566). Healthcare workers were defined as those who worked in hospital, nursing, and residential healthcare facility, pharmacy, and ambulatory healthcare center settings. Anxiety symptoms were measured by the Generalized Anxiety Disorder-2 (GAD-2) instrument. Depressive symptoms were measured by the Patient Health Questionnaire-2 (PHQ-2) instrument. A GAD-2 score of 3 or greater was used to indicate being at risk for anxiety. A PHQ-2 score of 3 or greater was used to indicate being at risk for depression.

We conducted multivariable logistic regression models to identify factors associated with being at risk for anxiety and depression when controlling for other factors. To develop nationally representative estimates, we used jackknife replication weights. We interpreted p<0.05 as significant. All analyses were conducted using Stata 17.0 (StataCorp).

RESULTS

Using the weighted sample (n=9,566,489 HCWs), we estimated that 66.8% were at risk for anxiety and 54.2% were at risk for depression (Table 1). After controlling for other factors, HCWs had greater odds of anxiety risk when reporting having a little (OR=2.53, 95% CI: 2.27–2.81), somewhat (OR=3.60, 95% CI: 3.06–4.23), or very challenging time (OR=7.36, 95% CI: 5.68–9.54) paying their bills compared to those who reported no difficulties. Similarly, HCWs had greater odds of depression risk when reporting having a little (OR=2.67, 95% CI: 2.41–2.97), somewhat (OR=3.87, 95% CI: 3.30–4.54), or very challenging time (OR=7.81, 95% CI: 5.91–10.32) paying their bills compared to those who reported no difficulties. Female HCWs had greater odds of being at risk for anxiety (OR=1.68, 95% CI: 1.50–1.88) and depression (OR=1.60, 95% CI: 1.43–1.79) than male HCWs. HCWs that had at least one disability had greater odds of being at risk for anxiety (OR=2.86, 95% CI: 2.60–3.14) and depression (OR=3.10, 95% CI: 2.83–3.40). We also observed differences in the risk of anxiety or depression by race, age, marital status, and COVID-19 vaccination status (Table 2).

Table 1.

Sample characteristics (Weighted N = 9,566,489)a–b

Characteristic Unweighted n (%) Weighted n (%)
At risk for anxiety
 No 13,901 (35.1) 3,179,751 (33.2)
 Yes 25,665 (64.9) 6,386,738 (66.8)
At risk for depression
 No 12,512 (31.6) 4,379,908 (45.8)
 Yes 27,054 (68.4) 5,186,581 (54.2)
Sex
 Male 9193 (23.2) 2,652,633 (27.7)
 Female 30,373 (76.8) 6,913,856 (72.3)
Race
 White, alone 32,688 (82.6) 7,229,371 (75.6)
 Black, alone 3049 (7.7) 1,189,379 (12.4)
 Asian, alone 2235 (5.7) 673,655 (7.0)
 Any other race alone, or race in combination 1594 (4.0) 474,084 (5.0)
Ethnicity
 Not of Hispanic, Latino, or Spanish origin 36,866 (93.2) 8,497,681 (88.8)
 Of Hispanic, Latino, or Spanish origin 2700 (6.8) 1,068,808 (11.1)
Age (in years)
 18–34 4268 (10.8) 1,734,047 (18.1)
 35–50 15,579 (39.4) 3,351,496 (35.0)
 51–64 11,723 (29.6) 2,392,556 (25.0)
 65–74 4011 (10.1) 751,697 (7.9)
 75 or older 3985 (10.1) 1,336,693 (14.0)
Marital status
 Not married 15,881 (40.1) 3,935,941 (41.1)
 Married 23,685 (59.9) 5,630,548 (58.9)
Lives alone
 No 33,498 (84.7) 8,873,773 (92.8)
 Yes 6068 (15.3) 692,716 (7.2)
Having children in household
 None 23,916 (60.5) 5,606,590 (58.6)
 Only children under 5 year old 2657 (6.7) 786,325 (8.2)
 Only children aged between 5 and 11 years old 3128 (7.9) 764,517 (8.0)
 Only children aged between 12 and 17 years old 4847 (12.3) 1,183,875 (12.4)
 Children across multiple age groups 5018 (12.7) 1,225,182 (12.8)
Disability status
 No disability 18,811 (47.5) 4,387,089 (45.9)
 Has at least one disability 20,755 (52.5) 5,179,400 (54.1)
COVID-19 vaccination status
 Yes 37,230 (94.1) 8,804,288 (92.0)
 No 2336 (5.9) 762,201 (8.0)
Financial hardship
 Not at all 22,731 (57.5) 4,718,942 (49.3)
 A little bit 9248 (23.4) 2,495,654 (26.1)
 Somewhat challenging 4966 (12.6) 1,458,901 (15.3)
 Very challenging 2621 (6.6) 892,992 (9.3)
US region
 Northeast 6801 (17.2) 1,835,746 (19.2)
 South 11,587 (29.3) 3,408,240 (35.6)
 Midwest 9517 (24.1) 2,319,678 (24.2)
 West 11,661 (29.5) 2,002,825 (20.9)
Week
 Jul 21–Aug 2, 2021 3218 (8.1) 778,755 (8.1)
 Aug 4–Aug 16, 2021 3570 (9.0) 859,126 (9.0)
 Aug 18–Aug 30, 2021 3623 (9.2) 786,996 (8.2)
 Sep 1–Sep 13, 2021 3336 (8.4) 819,848 (8.6)
 Sep 15–Sep 27, 2021 3043 (7.7) 821,026 (8.6)
 Sep 29–Oct 11, 2021 3002 (7.6) 892,291 (9.3)
 Dec 1–Dec 13, 2021 2952 (7.5) 811,426 (8.5)
 Dec 29, 2021–Jan 10, 2022 3570 (9.0) 775,115 (8.1)
 Jan 26–Feb 7, 2022 3632 (9.2) 792,742 (8.3)
 Mar 2–Mar 14, 2022 3869 (9.8) 764,416 (8.0)
 Mar 30–Apr 11, 2022 2932 (7.4) 737,518 (7.7)
 Apr 27–May 9, 2022 2819 (7.1) 727,229 (7.6)

Table 2.

Adjusted odds ratios for being at-risk for anxiety and depression among US healthcare professionals (Weighted n = 9,566,489)a–b

Characteristic At risk for anxiety
OR (95% CI)
p-value At risk for depression
OR (95% CI)
p-value
Sex
 Male Ref --- Ref ---
 Female 1.68 (1.50–1.88) <0.001 1.60 (1.43–1.79) <0.001
Race
 White, alone Ref --- Ref ---
 Black, alone 0.53 (0.45–0.64) <0.001 0.58 (0.48–0.70) <0.001
 Asian, alone 0.68 (0.58–0.79) <0.001 0.73 (0.63–0.85) <0.001
 Any other race alone, or race in combination 1.15 (0.93–1.43) 0.199 1.23 (0.97–1.55) 0.086
Ethnicity
 Not of Hispanic, Latino, or Spanish origin Ref --- Ref ---
 Of Hispanic, Latino, or Spanish origin 0.87 (0.72–1.06) 0.160 0.86 (0.71–1.05) 0.143
Age (in years)
 18–34 Ref --- Ref ---
 35–50 0.67 (0.59–0.76) <0.001 0.66 (0.59–0.75) <0.001
 51–64 0.37 (0.32–0.44) <0.001 0.36 (0.31–0.42) <0.001
 65–74 0.23 (0.19–0.27) <0.001 0.23 (0.19–0.27) <0.001
 75 or older 0.73 (0.60–0.89) 0.002 0.69 (0.57–0.84) <0.001
Marital status
 Not married Ref --- Ref ---
 Married 0.85 (0.77–0.94) 0.003 0.81 (0.72–0.91) <0.001
Lives alone
 No Ref --- Ref ---
 Yes 0.90 (0.79–1.03) 0.133 0.94 (0.79–1.10) 0.421
Having children in household
 None Ref --- Ref ---
 Only children under 5 year old 1.01 (0.82–1.25) 0.937 0.93 (0.75–1.17) 0.550
 Only children aged between 5 and 11 years old 1.16 (0.95–1.41) 0.143 1.12 (0.92–1.36) 0.260
 Only children aged between 12 and 17 years old 0.92 (0.79–1.08) 0.303 0.86 (0.73–1.01) 0.063
 Children across multiple age groups 1.03 (0.89–1.19) 0.732 0.98 (0.84–1.14) 0.768
Disability status
 No disability Ref --- Ref ---
 Has at least one disability 2.86 (2.60–3.14) <0.001 3.10 (2.83–3.40) <0.001
COVID-19 vaccination status
 Yes Ref --- Ref ---
 No 0.46 (0.38–0.55) <0.001 0.45 (0.37–0.54) <0.001
Financial hardship
 Not at all Ref --- Ref ---
 A little bit 2.53 (2.27–2.81) <0.001 2.67 (2.41–2.97) <0.001
 Somewhat challenging 3.60 (3.06–4.23) <0.001 3.87 (3.30–4.54) <0.001
 Very challenging 7.36 (5.68–9.54) <0.001 7.81 (5.91–10.32) <0.001
US region
 Northeast Ref --- Ref ---
 South 0.91 (0.79–1.04) 0.175 0.88 (0.75–1.02) 0.091
 Midwest 0.89 (0.77–1.02) 0.085 0.84 (0.72–0.97) 0.021
 West 0.99 (0.84–1.16) 0.882 0.98 (0.82–1.17) 0.821
Week
 Jul 21–Aug 2, 2021 Ref --- Ref ---
 Aug 4–Aug 16, 2021 1.07 (0.90–1.27) 0.459 1.05 (0.87–1.27) 0.587
 Aug 18–Aug 30, 2021 1.17 (0.94–1.46) 0.164 1.17 (0.96–1.44) 0.121
 Sep 1–Sep 13, 2021 1.21 (1.01–1.44) 0.037 1.20 (1.00–1.44) 0.053
 Sep 15–Sep 27, 2021 1.21 (0.95–1.55) 0.127 1.20 (0.95–1.52) 0.128
 Sep 29–Oct 11, 2021 0.89 (0.73–1.10) 0.270 0.93 (0.73–1.19) 0.580
 Dec 1–Dec 13, 2021 1.06 (0.84–1.33) 0.624 1.03 (0.82–1.29) 0.801
 Dec 29, 2021–Jan 10, 2022 1.34 (1.12–1.60) 0.002 1.42 (1.18–1.71) <0.001
 Jan 26–Feb 7, 2022 1.01 (0.84–1.21) 0.957 0.99 (0.81–1.20) 0.882
 Mar 2–Mar 14, 2022 1.03 (0.84–1.25) 0.805 1.09 (0.89–1.33) 0.421
 Mar 30–Apr 11, 2022 0.85 (0.71–1.03) 0.103 0.92 (0.75–1.12) 0.397
 Apr 27–May 9, 2022 0.89 (0.74–1.09) 0.259 0.92 (0.75–1.14) 0.459

DISCUSSION

Our findings suggest that, during COVID-19, over half of US HCWs were at risk for anxiety or depression based on brief screeners, which exceeded estimates from non-US samples.1,2 These differences in prevalence rates may stem from variability in national responses to COVID-19 (e.g., speed of implementing social distancing requirements, acceptability of masking, and vaccine requirements) and overall sociopolitcal environment. Consistent with findings in the general population,4 factors associated with being at risk for anxiety or depression among HCWs included having financial hardship, younger age, and female sex. Additional efforts are needed to implement and evaluate interventions to improve mental health among US HCWs.5 Our findings suggest that interventions to reduce financial hardship and better support younger and female HCWs and those with disabilities may be needed.

Study limitations included self-report bias and limited information on HCW-specific variables (e.g., professional role, clinical setting, patient load)6 and COVID-19 rates and variants. Notwithstanding, this study offers nationally representative estimates of mental health burden among US HCWs during COVID-19 and identifies potential factors to inform future intervention design.

Acknowledgements

We would like to thank the peer reviewers and their comments that strengthened this manuscript.

Author Contribution

Conceptualization: Oliver T. Nguyen, Lisa J. Merlo, Katherine A. Meese, Amir Alishahi Tabriz, Kea Turner

Methodology: Oliver T. Nguyen, Lisa J. Merlo, Katherine A. Meese, Amir Alishahi Tabriz, Kea Turner

Formal analysis and investigation: Oliver T. Nguyen

Writing—original draft preparation: Oliver T. Nguyen

Writing—review and editing: Lisa J. Merlo, Katherine A. Meese, Amir Alishahi Tabriz, Kea Turner

Declarations

Conflict of Interest

The authors declare that they do not have a conflict of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

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