Levels of Severity of Depressive Symptoms Among At-Risk Groups in the UK During the COVID-19 Pandemic

Abstract

Importance: An immediate research priority is to investigate and monitor the psychological well-being among high-risk groups during the coronavirus disease 2019 (COVID-19) pandemic.

Objective: To examine levels of severity of depressive symptoms over time among individuals with high risk in the UK during the COVID-19 pandemic.

Design, setting, and participants: This cohort study is part of an ongoing large panel study of adults aged 18 years and older residing in the UK, the COVID-19 Social Study, established on March 21, 2020. Data analysis was conducted in May 2020.

Exposures: Sociodemographic risk factors included belonging to the Black, Asian, and minority racial/ethnic communities, low socioeconomic position (SEP), and essential worker roles (eg, workers in health and social care, education, childcare, or key public services). Health-related and psychosocial risk factors included preexisting physical and mental health conditions, experience of psychological or physical abuse, and low social support.

Main outcomes and measures: Depressive symptoms were measured on 7 occasions from March 21 to April 2, 2020, using the 9-item Patient Health Questionnaire (PHQ-9). Group-based depressive symptom trajectories were derived using latent growth mixture modeling.

Results: The analytical sample comprised 51 417 adults aged 18 years and older (mean [SD] age, 48.8 [16.8] years; 26 276 [51.1%] women; 6145 members [12.0%] of Black, Asian, and minority racial/ethnic communities). Among these, 17 143 participants (33.3%) were in the lowest SEP quartile, and 11 342 participants (22.1%) were classified as essential workers. Three levels of severity of depressive symptoms were identified: low (30 850 participants [60.0%]), moderate (14 911 participants [29.0%]), and severe (5656 participants [11.0%]). After adjusting for covariates, experiences of physical or psychological abuse (odds ratio [OR], 13.16; 95% CI, 12.95-13.37; P < .001), preexisting mental health conditions (OR, 12.99; 95% CI, 12.87-13.11; P < .001), preexisting physical health conditions (OR, 3.41; 95% CI, 3.29-3.54; P < .001), low social support (OR, 12.72; 95% CI, 12.57-12.86; P < .001), and low SEP (OR, 5.22; 95% CI, 5.08-5.36; P < .001) were significantly associated with severe depressive symptoms. No significant association was found for race/ethnicity (OR, 1.07; 95% CI, 0.85-1.28; P = .56). Participants with essential worker roles were less likely to experience severe depressive symptoms (OR, 0.66; 95% CI, 0.53-0.80; P < .001). Similar patterns of associations were found for the group of participants with moderate depressive symptoms (abuse: OR, 5.34; 95% CI, 5.15-5.54; P < .001; mental health condition: OR, 4.24; 95% CI, 4.24-4.24; P < .001; physical health condition: OR, 1.89; 95% CI, 1.80-1.98; P < .001; low social support: OR, 4.71; 95% CI, 4.60-4.82; P < .001; low SEP: OR, 1.97; 95% CI, 1.87-2.08; P < .001).

Conclusions and relevance: In this cohort study of UK adults participating in the COVID-19 Social Study, people with psychosocial and health-related risk factors, as well as those with low SEP, were at the most risk of experiencing moderate or severe depressive symptoms during the COVID-19 pandemic.

Figure 1.. Group-Based Trajectories of Depressive Symptoms

Class 1 indicates the low depressive symptom trajectory and includes participants with minimal depressive symptoms at all waves; class 2, the moderate depressive symptom trajectory and represents participants with moderate depressive symptoms throughout the study; class 3, the severe depressive symptom trajectory and represents participants with persistently severe levels of depressive symptoms. PHQ-9 indicates 9-item Patient Health Questionnaire.

Figure 2.. Associations of Sociodemographic, Psychosocial, and Health-Related Risk Factors With the Moderate and Severe Depressive Symptom Trajectories

The odds ratios (ORs) represent the risk of belonging to the moderate or severe depressive symptom trajectory compared with the low trajectory and are plotted on the log scale. All models were adjusted for sex, age, and coronavirus disease 2019 diagnosis and weighted using survey weights. Model 1 further adjusted for each exposure, and model 2 adjusted for all exposures simultaneously. SEP indicates socioeconomic position.