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JAMA Network logoLink to JAMA Network
. 2022 Sep 7;79(11):1081–1091. doi: 10.1001/jamapsychiatry.2022.2640

Associations of Depression, Anxiety, Worry, Perceived Stress, and Loneliness Prior to Infection With Risk of Post–COVID-19 Conditions

Siwen Wang 1,, Luwei Quan 2, Jorge E Chavarro 1,3,4, Natalie Slopen 5, Laura D Kubzansky 5, Karestan C Koenen 3,5,6, Jae Hee Kang 4, Marc G Weisskopf 2, Westyn Branch-Elliman 7,8, Andrea L Roberts 2
PMCID: PMC9453634  PMID: 36069885

This cohort study analyzes self-reported data from 3 large ongoing studies to determine whether high levels of psychological distress before SARS-CoV-2 infection are associated with increased risk of developing post–COVID-19 conditions, sometimes called long COVID.

Key Points

Question

Is psychological distress before SARS-CoV-2 infection associated with risk of COVID-19–related symptoms lasting 4 weeks or longer, known as post–COVID-19 conditions?

Findings

This cohort study found that among participants who did not report SARS-CoV-2 infection at baseline (April 2020) and reported a positive SARS-CoV-2 test result over 1 year of follow-up (N = 3193), depression, anxiety, perceived stress, loneliness, and worry about COVID-19 were prospectively associated with a 1.3- to 1.5-fold increased risk of self-reported post–COVID-19 conditions, as well as increased risk of daily life impairment related to post–COVID-19 conditions.

Meaning

In this study, preinfection psychological distress was associated with risk of post–COVID-19 conditions and daily life impairment in those with post–COVID-19 conditions.

Abstract

Importance

Few risk factors for long-lasting (≥4 weeks) COVID-19 symptoms have been identified.

Objective

To determine whether high levels of psychological distress before SARS-CoV-2 infection, characterized by depression, anxiety, worry, perceived stress, and loneliness, are prospectively associated with increased risk of developing post–COVID-19 conditions (sometimes called long COVID).

Design, Setting, and Participants

This prospective cohort study used data from 3 large ongoing, predominantly female cohorts: Nurses’ Health Study II, Nurses’ Health Study 3, and the Growing Up Today Study. Between April 2020 and November 2021, participants were followed up with periodic surveys. Participants were included if they reported no current or prior SARS-CoV-2 infection at the April 2020 baseline survey when distress was assessed and returned 1 or more follow-up questionnaires.

Exposures

Depression, anxiety, worry about COVID-19, perceived stress, and loneliness were measured at study baseline early in the pandemic, before SARS-CoV-2 infection, using validated questionnaires.

Main Outcomes and Measures

SARS-CoV-2 infection was self-reported during each of 6 monthly and then quarterly follow-up questionnaires. COVID-19–related symptoms lasting 4 weeks or longer and daily life impairment due to these symptoms were self-reported on the final questionnaire, 1 year after baseline.

Results

Of 54 960 participants, 38.0% (n = 20 902) were active health care workers, and 96.6% (n = 53 107) were female; the mean (SD) age was 57.5 (13.8) years. Six percent (3193 participants) reported a positive SARS-CoV-2 test result during follow-up (1-47 weeks after baseline). Among these, probable depression (risk ratio [RR], 1.32; 95% CI = 1.12-1.55), probable anxiety (RR = 1.42; 95% CI, 1.23-1.65), worry about COVID-19 (RR, 1.37; 95% CI, 1.17-1.61), perceived stress (highest vs lowest quartile: RR, 1.46; 95% CI, 1.18-1.81), and loneliness (RR, 1.32; 95% CI, 1.08-1.61) were each associated with post–COVID-19 conditions (1403 cases) in generalized estimating equation models adjusted for sociodemographic factors, health behaviors, and comorbidities. Participants with 2 or more types of distress prior to infection were at nearly 50% increased risk for post–COVID-19 conditions (RR, 1.49; 95% CI, 1.23-1.80). All types of distress were associated with increased risk of daily life impairment (783 cases) among individuals with post–COVID-19 conditions (RR range, 1.15-1.51).

Conclusions and Relevance

The findings of this study suggest that preinfection psychological distress may be a risk factor for post–COVID-19 conditions in individuals with SARS-CoV-2 infection. Future work should examine the biobehavioral mechanism linking psychological distress with persistent postinfection symptoms.

Introduction

Postacute sequelae of SARS-CoV-2, sometimes called long COVID, are defined as signs and symptoms consistent with COVID-19 that extend beyond 4 weeks from onset of infection and constitute an emerging health issue.1 Common symptoms of post–COVID-19 conditions include fatigue, brain fog, dyspnea, digestive issues, loss of taste and smell, and depression,2,3 which may persist for months after initial infection.4 Post–COVID-19 conditions are associated with reduced quality of life and an inability to return to work.5,6,7 Systematic reviews, primarily of hospitalized patients, have estimated that 54% to 73% of patients may experience post–COVID-19 conditions.8,9 A study of health care claims of nearly 2 million persons with COVID-19 found that 23% reported long-term symptoms.10

Post–COVID-19 conditions remain poorly understood, with no definitive etiology, prevention, or treatment.11 Older age, obesity, female sex, hypertension, immunosuppressive conditions, asthma, and severe acute-phase disease have been linked with higher risk of post–COVID-19 conditions.3,12,13,14 Psychological distress is associated with greater severity and longer duration of acute respiratory tract infections.15,16 However, only 3 studies have examined psychological factors as potential risk factors of post–COVID-19 conditions.12,17,18 The single prospective study found preexisting anxiety or depression was associated with decreased likelihood of full recovery,18 aligning with the results of the retrospective studies.12,17 Sustained psychological distress may cause activation of the hypothalamic-pituitary-adrenal axis and subsequent immune dysregulation.19,20,21,22,23 Other common manifestations of distress, such as loneliness and perceived stress, which have increased during the pandemic,24,25,26 have been implicated in chronic disease and early mortality,27,28 but have not been investigated as possible risk factors for post–COVID-19 conditions.

In this study, we examined whether preinfection psychological distress early in the pandemic, including depression, anxiety, loneliness, perceived stress, and worry, were associated with increased likelihood of developing post–COVID-19 conditions among individuals subsequently infected with SARS-CoV-2. We examined the extent to which established risk factors for COVID-19 severity (eg, hypertension, asthma) and common adverse health consequences of distress (eg, smoking, obesity) might account for possible associations.3,12,13 Further, we investigated whether, in participants with post–COVID-19 conditions, higher distress was associated with having a greater number of symptoms and impairment in daily activity.

Methods

The study was approved by the Partners HealthCare system institutional review board. Return of questionnaires implied informed consent. Results are reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Study Design and Population

Participants were drawn from 3 large ongoing longitudinal studies: Nurses’ Health Study II (NHSII), Nurses’ Health Study 3 (NHS3), and the Growing Up Today Study (GUTS). The NHSII, established in 1989, enrolled 116 429 US female nurses aged 25 to 42 years and followed up biennially.29 The NHS3, established in 2010, has recruited more than 49 000 US and Canadian female nurses 18 years and older, with enrollment ongoing and follow-up every 6 months. Male nurses were included beginning in 2015. GUTS began in 1996 when NHSII participants enrolled their offspring ages 9 to 17 years (n = 27 793).

From April 2020 to May 2020, 105 662 participants who returned the most recent main questionnaire of each cohort were invited to complete an online COVID-19 questionnaire. A total of 58 612 invited participants (55%) responded to this questionnaire from April 2020 to September 1, 2020 (henceforth termed baseline). Respondents were administered monthly surveys thereafter. Participants actively working at a health care center (n = 23 053) were administered additional weekly questionnaires. In August 2020, the surveys changed to quarterly administration (eFigure 1 in the Supplement). The end of follow-up for the current analysis was November 3, 2021.

Among 58 612 participants who responded to the baseline questionnaire, we restricted analysis to 54 960 participants who did not report history of a positive test for SARS-CoV-2 at baseline and returned at least 1 follow-up questionnaire. During 19 months of follow-up, 3752 participants (6%) reported a positive result on a SARS-CoV-2 antibody, antigen, or polymerase chain reaction test and the date of that test. We further excluded 249 participants who did not return the final questionnaire, and 310 participants who did not answer the post–COVID-19 condition question, leaving 3193 participants for analysis (eFigure 2 in the Supplement).

Measures

Types of Distress

Distress was measured at baseline. Frequency of depressive and anxiety symptoms in the past 2 weeks was assessed with the 4-item Patient Health Questionnaire (PHQ-4), which consists of a 2-item depression measure (PHQ-2) and a 2-item anxiety measure (2-item Generalized Anxiety Disorder scale [GAD-2]).30 Responses ranged from 0 (not at all) to 3 (nearly every day). Scores of 3 or higher on the PHQ-2 or GAD-2 indicated probable depression or probable anxiety.30,31,32,33 Worry about COVID-19 was assessed with the item, “How worried are you about COVID-19?” Response options were not at all, not very worried, somewhat worried, and very worried.34 The reference was not at all or not very worried.

Two additional types of distress were assessed only among participants who were not active health care workers. The 4-item Perceived Stress Scale (PSS-4) queries frequency of past-month feelings of stress (eg, “difficulties piling up so high that you could not overcome them”).35,36 Response options ranged from never to very often (0-4). The summed score was divided into quartiles for analysis.

The 3-item UCLA Loneliness Scale queried the frequency of feeling lack of companionship, left out, and isolated from others (hardly ever [1], some of the time [2], or often [3]).37 We divided the score into 3 levels for analysis: hardly ever lonely (3 points, reference), less than some of the time (4-5 points), and some of the time or often (≥6 points).

For each participant, we calculated the number of distress types experienced at a high level,30,31,32,33,34,35,36,37 including probable depression, probable anxiety, somewhat or very worried about COVID-19, the top quartile of perceived stress, and lonely some of the time or more often (coded as 0, 1, or 2 or more types of distress).

SARS-CoV-2 Infection, Post–COVID-19 Conditions, and Post–COVID-19 Impairment

Positive SARS-CoV-2 test results (antibody, antigen, or polymerase chain reaction) in the past 7, 30, and 90 days; COVID-19 symptoms; and hospitalization due to COVID-19 occurring since March 1, 2020, were self-reported on all questionnaires. Post–COVID-19 conditions were assessed on the final questionnaire, administered 336 days after baseline. Participants were asked, “Have you experienced any long-term COVID-19 symptoms (lasting for more than 4 weeks)?”1 If yes, participants were asked to endorse any COVID-19–related symptoms they experienced, including fatigue, shortness of breath or difficulty breathing, persistent cough, muscle/joint/chest pain, smell/taste problems, confusion/disorientation/brain fog, memory issues, depression/anxiety/changes in mood, headache, intermittent fever, heart palpitations, rash/blisters/welts, mouth or tongue ulcers, or other symptoms. Participants with self-reported post–COVID-19 conditions were asked (1) whether they were still experiencing symptoms and (2) how often the symptoms prevented them from carrying out daily activities (never vs occasionally, often, usually, or always).

Nine COVID-19–related symptoms were also queried on each follow-up questionnaire (eMethods in the Supplement). Because a comprehensive list of post–COVID-19 symptoms was asked only on the final questionnaire, and because follow-up questionnaires were too infrequent to capture post–COVID-19 conditions for most participants, our primary analyses used the final report to ascertain case status.

Covariates

Covariates were queried before the pandemic. Date of birth, race and ethnicity (American Indian/Alaska Native, Asian, Black or African American, Native Hawaiian or Pacific Islander, White, or other), sex, and height were self-reported at cohort entry. We used the most recent report (NHS2: 2017; NHS3: 2010-2019; GUTS: 2018) of weight, smoking status (never, former, current), marital status (married or unmarried), and history of physician-diagnosed diabetes, hypertension, high cholesterol, asthma, and cancer. Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared. Socioeconomic status was measured using educational attainment of the participant (GUTS) or their spouse or partner (NHS2, NHS3). Health care worker status was queried at baseline.

Statistical Analysis

Among participants who reported a positive SARS-CoV-2 test over follow-up, we compared participants who responded to the post–COVID-19 condition question with those who did not, regarding sociodemographic factors, COVID-19 severity risk factors, and types of distress at baseline. We then compared the prevalence of demographic factors and COVID-19 risk factors by level of distress at baseline.

We estimated relative risks (RRs) and 95% CIs for post–COVID-19 conditions using a general estimating equation (GEE) with a log link and Poisson distribution, with each type of distress or number of types of distress as the independent variable in separate models, adjusted for age, sex, racial identity, educational attainment, and health care worker status. To examine whether health-related factors in persons with vs without distress accounted for possible higher risk of post–COVID-19 conditions, we further adjusted for BMI and smoking status and additionally adjusted for comorbidities, including history of hypertension, diabetes, high cholesterol, asthma, and cancer. Furthermore, among participants with post–COVID-19 conditions, we compared prevalence of COVID-19 symptoms by distress at baseline and fit GEE models to examine the association between distress at baseline and any post–COVID-19 related daily life impairment. Missingness of each variable was less than 5%. Indicator variables were used for missing categorical variables. The median response was imputed for missing continuous variables.

We conducted 10 sensitivity analyses. First, to distinguish post–COVID-19 symptoms from symptoms related to distress, we excluded participants reporting only psychological, cognitive, or neurological symptoms. Second, to ensure that COVID-19–related symptoms did not precede infection, we excluded 846 participants reporting any COVID-19–related symptoms at baseline. Third, we considered as cases only participants reporting post–COVID-19 conditions both in follow-up questionnaires and in the final questionnaire (n = 1013). Fourth, to examine associations in men, we restricted analyses to 115 male participants reporting a positive test. Fifth, to reduce possible recall bias, we restricted post–COVID-19 condition cases to participants who reported ongoing symptoms (n = 1023). Sixth, we included 1584 participants who reported COVID-19 during follow-up but did not have a positive test. Seventh, as preinfection distress has been associated with severity of acute disease,38 we excluded 132 participants (4.1%) who were hospitalized because of COVID-19. Eighth, we multiply imputed post–COVID-19 condition status for 559 participants missing these data.39 Ninth, to ensure that symptoms at baseline did not affect distress measures, we excluded 69 individuals reporting infection within 4 weeks of baseline. Tenth, we defined post–COVID-19 conditions as cases having symptoms longer than 8 weeks. All analyses were conducted in SAS version 9.4 (SAS Institute). A 2-sided P < .05 was considered statistically significant.

Results

The 54 960 participants were 96.5% White (n = 53 047), 96.6% female (n = 53 107), and 38.0% active health care workers (n = 20 902), with a mean (SD) age of 57.5 (13.8) years. Participants missing data about post–COVID-19 conditions, vs those nonmissing, were younger and more likely to be health care workers, be unpartnered, and have higher distress at baseline (eTable 1 in the Supplement). We documented 3193 participants with a positive SARS-CoV-2 test result over 19 months of follow-up. Median time from return of baseline questionnaire to positive SARS-CoV-2 test results was 30 weeks (range, 1-47 weeks). The mean (SD) age of these participants was 55.3 (13.8) years; 96.8% were White (n = 3091), 96.4% were female (n = 3078), and 49.0% were active health care workers (n = 1565).

At baseline, those who had probable depression or anxiety were younger, were more likely to be active health care workers, and had a higher prevalence of asthma (Table 1). Participants very worried about COVID-19 were more likely to be female, more likely to be from racial and ethnic minority groups, and more likely to have asthma than the reference group. Compared with participants who had the least perceived stress, those in the highest quartile were younger and more likely to have asthma. Participants who had probable depression, had probable anxiety, were very worried about COVID-19, were lonely, or were in the highest quartile of perceived stress were more likely to have a BMI of 35 or greater and to be unpartnered. All types of distress were correlated, with the strongest being depression and anxiety (Spearman ρ range, 0.14-0.63) (eTable 2 in the Supplement).

Table 1. Health and Demographic Characteristics by Types of Distress at Baseline (April-August 2020), Among Participants Who Tested Positive for SARS-CoV-2 During Follow-up, April 2020 Through November 2021 (N = 3193)a.

Characteristic No. (%)
Depressive symptoms Anxiety symptoms Worry about COVID-19 Perceived stress Loneliness
No symptoms (n = 1595) Probable depression (n = 397) No symptoms (n = 1225) Probable anxiety (n = 651) No (n = 1000) High (n = 496) Lowest quartile (n = 514) Highest quartile (n = 358) Hardly ever (n = 467) Some of the time or often (n = 456)
Age, mean (SD), y 57.4 (12.9) 50.8 (14.4) 59.5 (12.0) 50.5 (14.3) 56.3 (13.7) 55.5 (13.7) 63.0 (11.1) 51.1 (16.3) 60.3 (13.0) 56.7 (15.2)
Race, Whiteb 1548 (97.1) 384 (96.7) 1185 (96.7) 634 (97.4) 978 (97.8) 473 (95.4) 505 (98.3) 349 (97.5) 454 (97.2) 444 (97.4)
Sex
Female 1536 (96.3) 381 (96.0) 1179 (96.2) 628 (96.5) 948 (94.8) 486 (98.0) 492 (95.7) 337 (94.1) 446 (95.5) 430 (94.3)
Male 59 (3.7) 16 (4.0) 46 (3.8) 23 (3.5) 52 (5.2) 10 (2.0) 22 (4.3) 21 (5.9) 21 (4.5) 26 (5.7)
Active health care worker 753 (47.2) 224 (56.4) 522 (42.6) 361 (55.5) 436 (43.6) 236 (47.6) NA NA NA NA
Married 1194 (74.9) 237 (59.7) 926 (75.6) 422 (64.8) 724 (72.4) 312 (62.9) 399 (77.6) 223 (62.3) 361 (77.3) 296 (64.9)
Partner’s education high school or lessc 209 (13.1) 38 (9.6) 186 (15.2) 58 (8.9) 124 (12.4) 53 (10.7) 68 (13.2) 29 (8.1) 58 (12.4) 45 (9.9)
BMId
25 to <30 474 (29.7) 104 (26.2) 378 (30.9) 180 (27.7) 310 (31.0) 150 (30.2) 169 (32.9) 88 (24.6) 149 (31.9) 132 (29.0)
30 to <35 310 (19.4) 76 (19.1) 256 (20.9) 112 (17.2) 179 (17.9) 79 (15.9) 102 (19.8) 58 (16.2) 86 (18.4) 86 (18.9)
≥35 202 (12.7) 93 (23.4) 158 (12.9) 128 (19.7) 118 (11.8) 113 (22.8) 73 (14.2) 71 (19.8) 62 (13.3) 75 (16.5)
Current smoker 36 (2.3) 15 (3.8) 34 (2.8) 20 (3.1) 25 (2.5) 17 (3.4) 11 (2.1) 8 (2.2) 15 (3.2) 14 (3.1)
Diabetes, ever 87 (5.5) 21 (5.3) 78 (6.4) 33 (5.1) 51 (5.1) 30 (6.1) 39 (7.6) 18 (5.0) 28 (6.0) 30 (6.6)
Hypertension, ever 320 (20.1) 89 (22.4) 274 (22.4) 147 (22.6) 209 (20.9) 127 (25.6) 137 (26.7) 80 (22.4) 113 (24.2) 121 (26.5)
High cholesterol, ever 395 (24.8) 105 (26.5) 326 (26.6) 170 (26.1) 253 (25.3) 143 (28.8) 136 (26.5) 76 (21.2) 111 (23.8) 136 (29.8)
Asthma, ever 180 (11.3) 78 (19.7) 120 (9.8) 111 (17.1) 109 (10.9) 79 (15.9) 40 (7.8) 61 (17.0) 50 (10.7) 60 (13.2)
Cancer, ever 80 (5.0) 19 (4.8) 60 (4.9) 29 (4.5) 45 (4.5) 28 (5.7) 32 (6.2) 25 (7.0) 24 (5.1) 26 (5.7)

Abbreviations: BMI, body mass index; NA, not applicable.

a

Values do not add to 100% because midlevels of variables, eg, subclinical depressive and anxious symptoms, somewhat worried, and less than some of the time of loneliness, are not shown because of space constraints; perceived stress and loneliness were queried only in participants who were not active health care workers (n = 1628).

b

Race and ethnicity were self-reported on cohort entry. Values for categories other than White (American Indian/Alaska Native, Asian, Black or African American, Native Hawaiian or Pacific Islander, and other) are not reported because their numbers were small.

c

Among participants who were married or in a domestic relationship among Nurses’ Health Study II and Nurses’ Health Study 3 participants. Participants’ own education attainment is listed for participants in the Growing Up Today Study.

d

Calculated as weight in kilograms divided by height in meters squared.

Of participants who reported a positive SARS-CoV-2 test result during follow-up, 43.9% (n = 1403, including 35 men) reported post–COVID-19 conditions. Among these, 86.9% (n = 1219) reported symptoms lasting 2 months or longer, and 55.8% (n = 783) reported at least occasional daily life impairment related to post–COVID-19 conditions. The most common symptoms were fatigue (56.0%, n = 786), smell or taste problems (44.6%, n = 626), shortness of breath (25.5%, n = 358), confusion/disorientation/brain fog (24.5%, n = 343), and memory issues (21.8%, n = 306) (eTable 3 in the Supplement). Agreement between measures of post–COVID-19 conditions using monthly/quarterly questionnaires and the final questionnaire was moderate (eTables 4-6 in the Supplement).

All types of distress were significantly associated with increased risk of post–COVID-19 conditions in a dose-dependent manner after adjustment for demographic factors (probable depression, RR, 1.39 [95% CI, 1.19-1.63]; probable anxiety, RR, 1.47 [95% CI, 1.27-1.70]; very worried about COVID-19, RR, 1.43 [95% CI, 1.22-1.68]; highest quartile of perceived stress, RR, 1.50 [95% CI, 1.21-1.86]; lonely some of the time or often, RR, 1.35 [95% CI, 1.11-1.65]; all P < .01 for trend) (Table 2, model 1). Participants with more types of distress were at higher risk of developing post–COVID-19 conditions (≥2 types vs none, RR, 1.54; 95% CI, 1.28-1.86). In models further adjusted for smoking and BMI, associations between distress and post–COVID-19 conditions were attenuated by 1% to 4%. In models fully adjusted for comorbidities, all types of distress remained significantly associated with post–COVID-19 conditions (Table 2, models 2 and 3), and these associations were stronger than those with established risk factors (Figure 1).

Table 2. Association of Types of Distress and Risk of Subsequent Post–COVID-19 Conditions Among Persons With a Positive SARS-CoV-2 Test During Follow-up, April 2020 Through November 2021 (N = 3193).

Type of distress at study baseline Risk ratio (95% CI)
Cases of post–COVID-19 conditions/positive SARS-CoV-2, No./No. Model 1: Age, sex, racial identity, health care worker status, and partner’s education Model 2: Model 1 further adjusted for smoking and BMI Model 3: Model 2 further adjusted for comorbiditiesa
Probable depression (PHQ-2)
No 614/1595 1 [Reference] 1 [Reference] 1 [Reference]
Subclinical symptoms 574/1194 1.25 (1.12-1.40) 1.23 (1.10-1.38) 1.22 (1.09-1.37)
Yes 212/397 1.39 (1.19-1.63) 1.34 (1.14-1.57) 1.32 (1.12-1.55)
P for trendb <.001 <.001 <.001
Probable anxiety (GAD-2)
No 447/1225 1 [Reference] 1 [Reference] 1 [Reference]
Subclinical symptoms 611/1314 1.28 (1.13-1.45) 1.28 (1.13-1.45) 1.27 (1.12-1.44)
Yes 345/651 1.47 (1.27-1.70) 1.44 (1.24-1.67) 1.42 (1.23-1.65)
P for trendb <.001 <.001 <.001
Worry about COVID-19
Not at all/not very worried 368/1000 1 [Reference] 1 [Reference] 1 [Reference]
Somewhat worried 769/1694 1.22 (1.07-1.38) 1.20 (1.06-1.36) 1.20 (1.05-1.35)
Very worried 264/496 1.43 (1.22-1.68) 1.38 (1.18-1.61) 1.37 (1.17-1.61)
P for trendb <.001 <.001 <.001
Perceived stressc
Quartile 1, 0-2 points (least) 188/514 1 [Reference] 1 [Reference] 1 [Reference]
Quartile 2, 3-4 points 166/432 1.07 (0.87-1.32) 1.07 (0.87-1.32) 1.07 (0.87-1.32)
Quartile 3, 5-6 points 135/315 1.21 (0.97-1.52) 1.22 (0.97-1.52) 1.19 (0.95-1.50)
Quartile 4, 7-14 points (most) 184/358 1.50 (1.21-1.86) 1.47 (1.19-1.82) 1.46 (1.18-1.81)
P for trendb <.001 <.001 <.001
Lonelinessc
Hardly ever 177/467 1 [Reference] 1 [Reference] 1 [Reference]
Less than some of the time 266/691 1.02 (0.84-1.23) 1.01 (0.84-1.23) 1.01 (0.83-1.22)
Some of the time or often 231/456 1.35 (1.11-1.65) 1.34 (1.10-1.63) 1.32 (1.08-1.61)
P for trendb .003 .004 .006
No. of types of distressd
0 275/787 1 [Reference] 1 [Reference] 1 [Reference]
1 187/416 1.29 (1.07-1.55) 1.28 (1.06-1.54) 1.28 (1.06-1.54)
2 or more 206/397 1.54 (1.28-1.86) 1.50 (1.25-1.81) 1.49 (1.23-1.80)
P for trendb <.001 <.001 <.001

Abbreviations: BMI, body mass index; GAD-2, 2-item Generalized Anxiety Disorder; PHQ-2, 2-item Patient Health Questionnaire.

a

Comorbidities included diabetes, hypertension, high cholesterol, asthma, and cancer.

b

P trend analysis used indicator levels as a continuous variable.

c

As perceived stress and loneliness were queried only in participants who were not active health care workers (n = 1628), risk ratios for number of types of distress were calculated only for these participants.

d

Number of types of distress is a count of probable depression, probable anxiety, somewhat or very worried about COVID-19, highest-quartile perceived stress, lonely some of the time or often.

Figure 1. Association Between Distress and Established COVID-19 Risk Factors With Subsequent Post–COVID-19 Conditions, April 2020 Through November 2021 (N = 3193).

Figure 1.

All risk ratios are adjusted for covariates and established COVID-19 risk factors. Each type of distress is modeled separately as the independent variable, adjusted for age, sex, racial identity, health care worker status, partner’s education, body mass index (BMI), smoking status, and history of diabetes, hypertension, high cholesterol, asthma, and cancer. Estimates for established risk factors are from a single model with the following independent variables: age, sex, racial identity, health care worker status, partner’s education, BMI, smoking status, and history of diabetes, hypertension, high cholesterol, asthma, and cancer. Perceived stress and loneliness data were queried only in participants who were not active health care workers (n = 1628). Number of distress types is a count of probable depression, probable anxiety, somewhat or very worried about COVID, highest-quartile perceived stress, and lonely some of the time or often. BMI is calculated as weight in kilograms divided by height in meters squared. GAD-2 indicates 2-item Generalized Anxiety Disorder scale; PHQ-2, 2-item Patient Health Questionnaire; PSS-4, 4-item Perceived Stress Scale; Q, quartile.

Results were comparable in sensitivity analyses excluding cases of post–COVID-19 conditions with only psychological, cognitive, or neurological symptoms; excluding participants who reported any COVID-19–related symptoms at baseline; defining cases as individuals with reports of post–COVID-19 conditions in both follow-up and final questionnaires; restricted to male participants (RRs = 1.85-3.23); restricting cases to participants with ongoing symptoms at the final survey; excluding those hospitalized because of COVID-19; including presumed COVID-19 cases; using multiple imputation; and excluding cases with an onset within 4 weeks of baseline (eTable 7 in the Supplement). Results were somewhat stronger when we defined post–COVID-19 conditions as having symptoms longer than 8 weeks (eTable 8 in the Supplement).

Furthermore, among participants reporting post–COVID-19 conditions, we examined the association of preinfection distress with symptoms and impairment. All COVID-19 symptoms, except for persistent cough and smell or taste problems, were more prevalent in participants with vs without each type of distress (Figure 2). Individuals with distress at baseline reported a greater number of symptoms of post–COVID-19 condition (eg, probable depression, mean [SD] symptoms = 3.4 [2.1]; no depression, mean [SD] symptoms = 2.5 [1.7]). Symptoms of depression, symptoms of anxiety, worry, and perceived stress at baseline were associated with a 25% to 51% increased risk of having symptoms that interfered with activities occasionally to always (Figure 3).

Figure 2. Prevalence of Long-term COVID-19–Related Symptoms by Types of Distress at Baseline (April-August 2020), Among 1403 Individuals With Post–COVID-19 Conditions.

Figure 2.

Rare symptoms of post–COVID-19 conditions that are not presented because of space constraints include intermittent fever; rash, blisters, or welts anywhere on the body; and mouth or tongue ulcers. Values do not add to 100% because midlevels of variables (ie, subclinical depressive and anxious symptoms, somewhat worried, and loneliness less than some of the time) are not shown because of space constraints. Perceived stress and loneliness were queried only in participants who were not active health care workers.

Figure 3. Association of Distress With Risk of Daily Life Impairment From Post–COVID-19 Conditions Among 1403 Individuals With Post–COVID-19 Conditions.

Figure 3.

Each type of distress is modeled separately as the independent variable, adjusted for age, sex, racial identity, health care worker status, partner’s education, BMI, smoking status, and history of diabetes, hypertension, high cholesterol, asthma, and cancer. Perceived stress and loneliness were queried only in participants who were not active health care workers. Number of types of distress is a count of probable depression, probable anxiety, somewhat or very worried about COVID-19, highest-quartile perceived stress, and lonely some of the time or often. GAD-2 indicates 2-item Generalized Anxiety Disorder; PHQ-2, 2-item Patient Health Questionnaire; PSS-4, 4-item Perceived Stress Scale; Q, quartile.

Discussion

In this prospective study of individuals followed up for more a year starting in April 2020, we found preinfection psychological distress, including symptoms of depression, symptoms of anxiety, worry about COVID-19, loneliness, and perceived stress, was strongly associated with risk of post–COVID-19 conditions among those infected with SARS-CoV-2. These associations remained significant after further adjustment for health-related factors. We found a dose-dependent association between number of types of distress and risk of post–COVID-19 conditions, with participants who experienced high levels of 2 or more types of distress at nearly 50% greater risk of post–COVID-19 conditions than those who did not experience a high level of distress. Participants with vs without distress at baseline developed on average 1 additional long-term symptom. All types of distress except loneliness were associated with risk of daily life impairment related to post–COVID-19 conditions.

Few studies have examined distress as a risk factor for post–COVID-19 conditions. A prospective study using a UK cohort of more than 7000 patients with multiple sclerosis found preexisting anxiety and depression were associated with 29% decreased risk of full recovery at median follow-up of 87 days.18 Distress at the time of infection has been associated with longer and more severe upper respiratory tract infections.15,40 Prior studies have further suggested that distress is associated with long-term symptoms after Lyme infection and in functional syndromes, eg, chronic fatigue syndrome and fibromyalgia, that have symptoms similar to those of post–COVID-19 conditions, such as fatigue, headache, and muscle pain.41,42,43,44,45,46

Our results should not be misinterpreted as supporting a hypothesis that post–COVID-19 conditions are psychosomatic.47 First, among respondents who developed post–COVID-19 conditions, more than 40% had no distress at baseline. Second, symptoms of post–COVID-19 conditions differ substantially from symptoms of mental illness. Although fatigue and brain fog may occur with depression, smell and taste problems, shortness of breath and difficulty breathing, and cough are not common symptoms of mental illness.48 Third, more than 50% of patients with post–COVID-19 conditions report relapses triggered by physical activity.49 In contrast, physical activity is protective against relapse of mental illness.48,50 Fourth, results were similar when excluding participants reporting only psychiatric, cognitive, or neurological symptoms.

Inflammation and immune dysregulation may link psychological distress with post–COVID-19 conditions. Distress is associated with chronic systemic inflammation, resulting in sustained production of proinflammatory cytokines and reactive oxygen species.19,20,21,22,23 Inflammatory cytokines have been proposed as possible causes of respiratory, neurological, cardiovascular, muscular, and gastrointestinal long-term COVID-19 symptoms.51,52,53 In addition, stress activates the hypothalamic-pituitary-adrenal axis, which can lead to chronic immune suppression. Immunosuppressive conditions have been found to be associated with risk of persistent symptoms after COVID-19,12 but findings were not conclusive.13,54,55 Furthermore, autoantibodies have been associated with both mental health conditions and post–COVID-19 conditions.14,56 In the central nervous system, mental health disorders are associated with chronic low-grade inflammation and microglia activation, which may cause cognitive impairment and long-term fatigue.57 Hypometabolism in the frontal lobe and cerebellum, a pathopsychological change associated with major depression, has also been implicated in post–COVID-19 fatigue.58,59,60

Limitations and Strengths

Our study has several limitations. First, our study population was predominantly White and female and had a significant proportion of health care personnel, limiting generalizability. Second, a positive result on a SARS-CoV-2 test was self-reported, though self-reported health information has had high validity in these cohorts.61,62 Third, data were not missing at random, which might have introduced bias. However, results were similar in analyses using multiple imputation. Fourth, the agreement between symptoms reported on the final and monthly/quarterly questionnaires was moderate, suggesting a chance of outcome misclassification, which may bias our results toward null. Nevertheless, symptoms of post–COVID-19 conditions change over the course of the illness.63 Fifth, depression and anxiety were measured using validated scales rather than clinical diagnoses.

Our study has several strengths. Monthly/quarterly surveys were sent to 3 large cohorts prospectively measuring incident infection and COVID-19 symptoms during an active stage of the pandemic. Distress was measured early in the pandemic, which may have more accurately captured recent distress, compared with studies using prepandemic medical records. We examined some common yet largely unstudied types of distress, including loneliness, perceived stress, and worry about COVID-19.

Conclusions

The findings of this study suggest that preexisting psychological distress is associated with subsequent risk of developing post–COVID-19 conditions. Further research should investigate whether interventions that reduce distress help prevent or treat post–COVID-19 conditions. Identification and treatment of biological pathways linking distress with long-term COVID-19 symptoms may benefit individuals with post–COVID-19 conditions or other chronic postinfection syndromes.

Supplement.

eFigure 1. Questionnaire sequence for the COVID-19 study, April 2020 to November 2021

eFigure 2. Flow chart of study design and study population selection, April 2020 to November 2021

eMethods

eTable 1. Health and demographic characteristics at baseline (April-September 2020) by missing long COVID status, among participants who ever tested positive for SARS-CoV-2 between April 2020 - November 2021, N=3,752

eTable 2. Spearman correlations between types of distress among persons with a positive SARS-CoV-2 test from April 2020 to November 2021, NHS II, NHS3, and GUTS, N=3,193

eTable 3. Prevalence of long-COVID-related symptoms among participants with long COVID, N=1,403

eTable 4. Long COVID status ascertained on monthly or quarterly versus final questionnaire among 3,193 participants infected with SARS-COV-2

eTable 5. Prevalence of COVID-19 related symptoms reported on monthly or quarterly follow up and the final questionnaire among persons who had eligible measures on both questionnaires, N=1,381

eTable 6. Agreement between COVID-19 related symptoms reported on monthly or quarterly versus final questionnaires, among participants data on both types of questionnaires, N=1,381

eTable 7. Sensitivity analysis for the association of types of distress and subsequent risk of long COVID among persons with a positive SARS-CoV-2 test during follow-up, April 2020 - November 2021

eTable 8. Association of types of distress and risk of subsequent long COVID (more than 8 weeks) among persons with a positive SARS-CoV-2 test during follow-up, April 2020 - November 2021, N=3,142

References

  • 1.Venkatesan P. NICE guideline on long COVID. Lancet Respir Med. 2021;9(2):129. doi: 10.1016/S2213-2600(21)00031-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Nalbandian A, Sehgal K, Gupta A, et al. Post-acute COVID-19 syndrome. Nat Med. 2021;27(4):601-615. doi: 10.1038/s41591-021-01283-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sudre CH, Murray B, Varsavsky T, et al. Attributes and predictors of long COVID. Nat Med. 2021;27(4):626-631. doi: 10.1038/s41591-021-01292-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Logue JK, Franko NM, McCulloch DJ, et al. Sequelae in adults at 6 months after COVID-19 infection. JAMA Netw Open. 2021;4(2):e210830. doi: 10.1001/jamanetworkopen.2021.0830 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Evans RA, McAuley H, Harrison EM, et al. ; PHOSP-COVID Collaborative Group . Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study. Lancet Respir Med. 2021;9(11):1275-1287. doi: 10.1016/S2213-2600(21)00383-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Iqbal FM, Lam K, Sounderajah V, Clarke JM, Ashrafian H, Darzi A. Characteristics and predictors of acute and chronic post-COVID syndrome: a systematic review and meta-analysis. EClinicalMedicine. 2021;36:100899. doi: 10.1016/j.eclinm.2021.100899 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Westerlind E, Palstam A, Sunnerhagen KS, Persson HC. Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort. BMC Public Health. 2021;21(1):1023. doi: 10.1186/s12889-021-11013-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Nasserie T, Hittle M, Goodman SN. Assessment of the frequency and variety of persistent symptoms among patients with COVID-19: a systematic review. JAMA Netw Open. 2021;4(5):e2111417. doi: 10.1001/jamanetworkopen.2021.11417 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Groff D, Sun A, Ssentongo AE, et al. Short-term and long-term rates of postacute sequelae of SARS-CoV-2 infection: a systematic review. JAMA Netw Open. 2021;4(10):e2128568. doi: 10.1001/jamanetworkopen.2021.28568 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.FAIR Health . A detailed study of patients with long-haul COVID: an analysis of private healthcare claims. Published June 15, 2021. https://www.fairhealth.org/publications/whitepapers
  • 11.Rando HM, Bennett TD, Byrd JB, et al. Challenges in defining long COVID: striking differences across literature, electronic health records, and patient-reported information. medRxiv. Published online March 26, 2021. doi: 10.1101/2021.03.20.21253896 [DOI]
  • 12.Tenforde MW, Kim SS, Lindsell CJ, et al. ; IVY Network Investigators; CDC COVID-19 Response Team; IVY Network Investigators . Symptom duration and risk factors for delayed return to usual health among outpatients with COVID-19 in a multistate health care systems network: United States, March-June 2020. MMWR Morb Mortal Wkly Rep. 2020;69(30):993-998. doi: 10.15585/mmwr.mm6930e1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Moreno-Pérez O, Merino E, Leon-Ramirez JM, et al. ; COVID19-ALC research group . Post-acute COVID-19 syndrome, incidence and risk factors: a Mediterranean cohort study. J Infect. 2021;82(3):378-383. doi: 10.1016/j.jinf.2021.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Su Y, Yuan D, Chen DG, et al. ; ISB-Swedish COVID-19 Biobanking Unit . Multiple early factors anticipate post-acute COVID-19 sequelae. Cell. 2022;185(5):881-895.e20. doi: 10.1016/j.cell.2022.01.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Falagas ME, Karamanidou C, Kastoris AC, Karlis G, Rafailidis PI. Psychosocial factors and susceptibility to or outcome of acute respiratory tract infections. Int J Tuberc Lung Dis. 2010;14(2):141-148. [PubMed] [Google Scholar]
  • 16.Cohen S, Doyle WJ, Skoner DP. Psychological stress, cytokine production, and severity of upper respiratory illness. Psychosom Med. 1999;61(2):175-180. doi: 10.1097/00006842-199903000-00009 [DOI] [PubMed] [Google Scholar]
  • 17.Blackett JW, Wainberg M, Elkind MSV, Freedberg DE. Potential long coronavirus disease 2019 gastrointestinal symptoms 6 months after coronavirus infection are associated with mental health symptoms. Gastroenterology. 2022;162(2):648-650.e2. doi: 10.1053/j.gastro.2021.10.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Garjani A, Middleton RM, Nicholas R, Evangelou N. Recovery from COVID-19 in multiple sclerosis: a prospective and longitudinal cohort study of the United Kingdom Multiple Sclerosis Register. Neurol Neuroimmunol Neuroinflamm. 2021;9(1):e1118. doi: 10.1212/NXI.0000000000001118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bauer ME, Teixeira AL. Inflammation in psychiatric disorders: what comes first? Ann N Y Acad Sci. 2019;1437(1):57-67. doi: 10.1111/nyas.13712 [DOI] [PubMed] [Google Scholar]
  • 20.Bouayed J, Rammal H, Soulimani R. Oxidative stress and anxiety: relationship and cellular pathways. Oxid Med Cell Longev. 2009;2(2):63-67. doi: 10.4161/oxim.2.2.7944 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Bajpai A, Verma AK, Srivastava M, Srivastava R. Oxidative stress and major depression. J Clin Diagn Res. 2014;8(12):CC04-CC07. doi: 10.7860/JCDR/2014/10258.5292 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Rohleder N. Stimulation of systemic low-grade inflammation by psychosocial stress. Psychosom Med. 2014;76(3):181-189. doi: 10.1097/PSY.0000000000000049 [DOI] [PubMed] [Google Scholar]
  • 23.Maes M. Evidence for an immune response in major depression: a review and hypothesis. Prog Neuropsychopharmacol Biol Psychiatry. 1995;19(1):11-38. doi: 10.1016/0278-5846(94)00101-M [DOI] [PubMed] [Google Scholar]
  • 24.Killgore WDS, Cloonan SA, Taylor EC, Lucas DA, Dailey NS. Loneliness during the first half-year of COVID-19 lockdowns. Psychiatry Res. 2020;294:113551. doi: 10.1016/j.psychres.2020.113551 [DOI] [PubMed] [Google Scholar]
  • 25.Bu F, Steptoe A, Fancourt D. Who is lonely in lockdown? cross-cohort analyses of predictors of loneliness before and during the COVID-19 pandemic. Public Health. 2020;186:31-34. doi: 10.1016/j.puhe.2020.06.036 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Charles NE, Strong SJ, Burns LC, Bullerjahn MR, Serafine KM. Increased mood disorder symptoms, perceived stress, and alcohol use among college students during the COVID-19 pandemic. Psychiatry Res. 2021;296:113706. doi: 10.1016/j.psychres.2021.113706 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Christiansen J, Lund R, Qualter P, Andersen CM, Pedersen SS, Lasgaard M. Loneliness, social isolation, and chronic disease outcomes. Ann Behav Med. 2021;55(3):203-215. doi: 10.1093/abm/kaaa044 [DOI] [PubMed] [Google Scholar]
  • 28.Kopp MS, Réthelyi J. Where psychology meets physiology, chronic stress and premature mortality: the Central-Eastern European health paradox. Brain Res Bull. 2004;62(5):351-367. doi: 10.1016/j.brainresbull.2003.12.001 [DOI] [PubMed] [Google Scholar]
  • 29.Bao Y, Bertoia ML, Lenart EB, et al. Origin, methods, and evolution of the three Nurses’ Health Studies. Am J Public Health. 2016;106(9):1573-1581. doi: 10.2105/AJPH.2016.303338 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kroenke K, Spitzer RL, Williams JBW, Löwe B. An ultra-brief screening scale for anxiety and depression: the PHQ-4. Psychosomatics. 2009;50(6):613-621. doi: 10.1176/appi.psy.50.6.613 [DOI] [PubMed] [Google Scholar]
  • 31.Kroenke K, Spitzer RL, Williams JBW. The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care. 2003;41(11):1284-1292. doi: 10.1097/01.MLR.0000093487.78664.3C [DOI] [PubMed] [Google Scholar]
  • 32.Kroenke K, Spitzer RL, Williams JBW, Monahan PO, Löwe B. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann Intern Med. 2007;146(5):317-325. doi: 10.7326/0003-4819-146-5-200703060-00004 [DOI] [PubMed] [Google Scholar]
  • 33.Löwe B, Wahl I, Rose M, et al. A 4-item measure of depression and anxiety: validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. J Affect Disord. 2010;122(1-2):86-95. doi: 10.1016/j.jad.2009.06.019 [DOI] [PubMed] [Google Scholar]
  • 34.YouGov . Yahoo! News Coronavirus: April 8, 2020. Accessed November 22, 2021. https://docs.cdn.yougov.com/1ayt0i64g6/20200408_yahoo_coronavirus.pdf
  • 35.Mitchell AM, Crane PA, Kim Y. Perceived stress in survivors of suicide: psychometric properties of the Perceived Stress Scale. Res Nurs Health. 2008;31(6):576-585. doi: 10.1002/nur.20284 [DOI] [PubMed] [Google Scholar]
  • 36.Warttig SL, Forshaw MJ, South J, White AK. New, normative, English-sample data for the short form Perceived Stress Scale (PSS-4). J Health Psychol. 2013;18(12):1617-1628. doi: 10.1177/1359105313508346 [DOI] [PubMed] [Google Scholar]
  • 37.Hughes ME, Waite LJ, Hawkley LC, Cacioppo JT. A short scale for measuring loneliness in large surveys: results from two population-based studies. Res Aging. 2004;26(6):655-672. doi: 10.1177/0164027504268574 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Wang S, Quan L, Ding M, et al. Depression, worry, and loneliness are associated with subsequent risk of hospitalization for COVID-19: a prospective study. Psychol Med. 2022;1-10. Published online 2022. doi: 10.1017/S0033291722000691 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.van Buuren S. Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res. 2007;16(3):219-242. doi: 10.1177/0962280206074463 [DOI] [PubMed] [Google Scholar]
  • 40.Cohen S, Tyrrell DAJ, Smith AP. Psychological stress and susceptibility to the common cold. N Engl J Med. 1991;325(9):606-612. doi: 10.1056/NEJM199108293250903 [DOI] [PubMed] [Google Scholar]
  • 41.Hassett AL, Radvanski DC, Buyske S, et al. Role of psychiatric comorbidity in chronic Lyme disease. Arthritis Rheum. 2008;59(12):1742-1749. doi: 10.1002/art.24314 [DOI] [PubMed] [Google Scholar]
  • 42.Hassett AL, Radvanski DC, Buyske S, Savage SV, Sigal LH. Psychiatric comorbidity and other psychological factors in patients with “chronic Lyme disease”. Am J Med. 2009;122(9):843-850. doi: 10.1016/j.amjmed.2009.02.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Solomon SP, Hilton E, Weinschel BS, Pollack S, Grolnick E. Psychological factors in the prediction of Lyme disease course. Arthritis Care Res. 1998;11(5):419-426. doi: 10.1002/art.1790110514 [DOI] [PubMed] [Google Scholar]
  • 44.Wormser GP, McKenna D, Shaffer KD, Silverman JH, Scavarda C, Visintainer P. Evaluation of selected variables to determine if any had predictive value for, or correlated with, residual symptoms at approximately 12 months after diagnosis and treatment of early Lyme disease. Diagn Microbiol Infect Dis. 2021;100(3):115348. doi: 10.1016/j.diagmicrobio.2021.115348 [DOI] [PubMed] [Google Scholar]
  • 45.Sharpe M, Carson A. “Unexplained” somatic symptoms, functional syndromes, and somatization: do we need a paradigm shift? Ann Intern Med. 2001;134(9 pt 2):926-930. doi: 10.7326/0003-4819-134-9_Part_2-200105011-00018 [DOI] [PubMed] [Google Scholar]
  • 46.Walker J, Sharpe M, Wessely S. Commentary: symptoms not associated with disease: an unmet public health challenge. Int J Epidemiol. 2006;35(2):477-478. doi: 10.1093/ije/dyl035 [DOI] [PubMed] [Google Scholar]
  • 47.Devine J. The dubious origins of long Covid. Wall Street Journal. Published March 22, 2021. Accessed December 20, 2021. https://www.wsj.com/articles/the-dubious-origins-of-long-covid-11616452583
  • 48.First MB. DSM-5 Handbook of Differential Diagnosis. American Psychiatric Association; 2013. [Google Scholar]
  • 49.Davis HE, Assaf GS, McCorkell L, et al. Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. EClinicalMedicine. 2021;38:101019. doi: 10.1016/j.eclinm.2021.101019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Wolf S, Seiffer B, Zeibig JM, et al. Is physical activity associated with less depression and anxiety during the COVID-19 pandemic? a rapid systematic review. Sports Med. 2021;51(8):1771-1783. doi: 10.1007/s40279-021-01468-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Mazza MG, Palladini M, De Lorenzo R, et al. ; COVID-19 BioB Outpatient Clinic Study group . Persistent psychopathology and neurocognitive impairment in COVID-19 survivors: effect of inflammatory biomarkers at three-month follow-up. Brain Behav Immun. 2021;94:138-147. doi: 10.1016/j.bbi.2021.02.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Mazza MG, De Lorenzo R, Conte C, et al. ; COVID-19 BioB Outpatient Clinic Study group . Anxiety and depression in COVID-19 survivors: role of inflammatory and clinical predictors. Brain Behav Immun. 2020;89:594-600. doi: 10.1016/j.bbi.2020.07.037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Crook H, Raza S, Nowell J, Young M, Edison P. Long covid-mechanisms, risk factors, and management. BMJ. 2021;374(1648):n1648. doi: 10.1136/bmj.n1648 [DOI] [PubMed] [Google Scholar]
  • 54.Costenaro P, Minotti C, Barbieri E, Giaquinto C, Donà D. SARS-CoV-2 infection in people living with HIV: a systematic review. Rev Med Virol. 2021;31(1):1-12. doi: 10.1002/rmv.2155 [DOI] [PubMed] [Google Scholar]
  • 55.Kowalska JD, Kase K, Vassilenko A, et al. The characteristics of HIV-positive patients with mild/asymptomatic and moderate/severe course of COVID-19 disease: a report from Central and Eastern Europe. Int J Infect Dis. 2021;104:293-296. doi: 10.1016/j.ijid.2020.12.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Iseme RA, McEvoy M, Kelly B, Agnew L, Attia J, Walker FR. Autoantibodies and depression: evidence for a causal link? Neurosci Biobehav Rev. 2014;40:62-79. doi: 10.1016/j.neubiorev.2014.01.008 [DOI] [PubMed] [Google Scholar]
  • 57.Mondelli V, Pariante CM. What can neuroimmunology teach us about the symptoms of long-COVID? Oxf Open Immunol. 2021;2(1):iqab004. doi: 10.1093/oxfimm/iqab004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Su L, Cai Y, Xu Y, Dutt A, Shi S, Bramon E. Cerebral metabolism in major depressive disorder: a voxel-based meta-analysis of positron emission tomography studies. BMC Psychiatry. 2014;14:321. doi: 10.1186/s12888-014-0321-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Mayberg HS, Lewis PJ, Regenold W, Wagner HN Jr. Paralimbic hypoperfusion in unipolar depression. J Nucl Med. 1994;35(6):929-934. [PubMed] [Google Scholar]
  • 60.Guedj E, Million M, Dudouet P, et al. 18F-FDG brain PET hypometabolism in post-SARS-CoV-2 infection: substrate for persistent/delayed disorders? Eur J Nucl Med Mol Imaging. 2021;48(2):592-595. doi: 10.1007/s00259-020-04973-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Troy LM, Hunter DJ, Manson JE, Colditz GA, Stampfer MJ, Willett WC. The validity of recalled weight among younger women. Int J Obes Relat Metab Disord. 1995;19(8):570-572. [PubMed] [Google Scholar]
  • 62.Forman JP, Curhan GC, Taylor EN. Plasma 25-hydroxyvitamin D levels and risk of incident hypertension among young women. Hypertension. 2008;52(5):828-832. doi: 10.1161/HYPERTENSIONAHA.108.117630 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Mizrahi B, Shilo S, Rossman H, et al. Longitudinal symptom dynamics of COVID-19 infection. Nat Commun. 2020;11(1):6208. doi: 10.1038/s41467-020-20053-y [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

eFigure 1. Questionnaire sequence for the COVID-19 study, April 2020 to November 2021

eFigure 2. Flow chart of study design and study population selection, April 2020 to November 2021

eMethods

eTable 1. Health and demographic characteristics at baseline (April-September 2020) by missing long COVID status, among participants who ever tested positive for SARS-CoV-2 between April 2020 - November 2021, N=3,752

eTable 2. Spearman correlations between types of distress among persons with a positive SARS-CoV-2 test from April 2020 to November 2021, NHS II, NHS3, and GUTS, N=3,193

eTable 3. Prevalence of long-COVID-related symptoms among participants with long COVID, N=1,403

eTable 4. Long COVID status ascertained on monthly or quarterly versus final questionnaire among 3,193 participants infected with SARS-COV-2

eTable 5. Prevalence of COVID-19 related symptoms reported on monthly or quarterly follow up and the final questionnaire among persons who had eligible measures on both questionnaires, N=1,381

eTable 6. Agreement between COVID-19 related symptoms reported on monthly or quarterly versus final questionnaires, among participants data on both types of questionnaires, N=1,381

eTable 7. Sensitivity analysis for the association of types of distress and subsequent risk of long COVID among persons with a positive SARS-CoV-2 test during follow-up, April 2020 - November 2021

eTable 8. Association of types of distress and risk of subsequent long COVID (more than 8 weeks) among persons with a positive SARS-CoV-2 test during follow-up, April 2020 - November 2021, N=3,142


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