| Literature DB >> 35873246 |
Rakesh Kumar1, Anand Singh2, Rahul Mishra3, Ushasi Saraswati1, Jaideep Bhalla1, Sandeep Pagali1.
Abstract
Background: The COVID-19 pandemic resulted in significant mortality and morbidity in the United States. The mental health impact during the pandemic was huge and affected all age groups and population types. We reviewed the existing literature to understand the present trends of psychological challenges and different coping strategies documented across different vulnerable sections of the United States population. This rapid review was carried out to investigate the trends in psychological impacts, coping ways, and public support during the COVID-19 pandemic crisis in the United States. Materials andEntities:
Keywords: COVID-19; culture; mental health; psychological adaptation; psychosocial support systems; society
Year: 2022 PMID: 35873246 PMCID: PMC9300847 DOI: 10.3389/fpsyt.2022.920581
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
FIGURE 1Study flowchart.
An overview of the included studies on child and adolescent, and HCWs studies.
| Study | Mode | Population (n) | Age (Mean SD) | Psychological symptoms | Common coping methods reported |
| Garritty et al. ( | Survey | 195 | 21 (1.7) | Fear/worry about health (91%); sleep pattern disruption (86%); difficulty in concentration (89%); increased concerns about academic performance (82%) | Negative coping (ignoring COVID-19 news, sleeping longer, distraction, drinking, and smoking), positive coping (meditation and breathing exercises, spiritual measures, keeping routines, and positive reframing), self-management |
| Son et al. ( | Survey | 2,031 | 23 (5.5) | Increase in preexisting anxiety (71%), depression (48%), anxiety (38%), and suicidal thoughts (18%) | Support from others, smartphone apps, university health services |
| Wang et al. ( | Survey | 1,015 | 39 (13.5) | Variable stressors related to COVID-19 infection | Distraction, active coping, and seeking emotional social support |
| Rosen et al. ( | Survey | 484 | 18 (0.3) | Mood decline | – |
| Park et al. ( | Survey | 950 | 19 (2.8) | Anxiety or depression | Staying connected and maintaining positivity |
| Hamm et al. ( | HCW Survey | 657 | – | Depression (48%), anxiety (33%) and acute stress (48%) | Physical therapy or exercises |
| Shechter et al. ( | HCW Survey | 288 | 46 (11.5) | Stress, increased anxiety/depression | – |
| Comfort et al. ( | HCW Survey | 517 | – | Insomnia (18%), depression (17%), anxiety (13%) PTSD (7.5%) | Avoidance coping, humor, positive reframing |
| Daly and Robinson et al. ( | Survey | 126 | 73 (7.4) | Depressed mood (27%), loss of interest (21.4%), change in sleep quality (25.1%), and change in alcohol use (6.4%) | Adaptive coping methods |
HCWs, healthcare workers.
An overview of the included studies on elderly populations, pregnant, and minorities.
| Study # | Mode | Population # (n) | Age | Psychological symptoms | Common coping methods reported |
| LaCaille et al. ( | Survey | Elderly (6,938) | 67.3 ± 7.9 | Leaving home only for essentials (69%), Placed on leave of absence/furloughed (in 55–74 years = 17%; in ≥75 years = 31%), Screening positive for: depression (32%), anxiety (29%), loneliness (29%) | NA (only looked at outcomes) |
| Kobayashi et al. ( | Survey | Elderly (6,548) | 67.7 ± 0.2 | Increase in alcohol consumption compared to pre-COVID drinking (11%), Association with increased drinking: depression: OR = 2.66, 95% CI: 1.99–3.56; anxiety: OR = 1.80, 95% CI: 1.34–2.42; loneliness: OR = 2.45, 95% CI: 1.83–3.28. If positive for all 3, more likely to report increased alcohol consumption (OR = 3.87, 95% CI: 2.52–5.96, vs. no mental health outcomes) | Increased alcohol consumption was a coping mechanism for COVID-19 stressors |
| Eastman et al. ( | Survey | Elderly (1,714) | Age was reported in 5-year increments from 60–90+, for a total of 7 response options coded 1–7; (mean = 2.35 ± 1.25) | pre-virus annual income was reported in $25k increments from $0 to $150k+, for a total of 7 response options coded 1–7; marital status was coded 1 = single/divorced/widowed, 2 = married/partnered; and retirement status was coded 1 = fully retired, 2 = work part time or full-time. Perceived health was rated on a 4-point scale: 1 = very healthy (39.6%), 2 = somewhat healthy (52.1%), 3 = not very healthy (7%), 4 = in poor health (1.3%). Mean ± SD for variables were Income = 3.78 ± 1.7; Marital status = 1.7 ± 0.46; Retired = 1.34 ± 0.47, Health = 1.7 ± 0.65, Income decline = 151 ± 0.5, Perceived stress = 17.61 ± 2.93, Negative affect = 35.08 ± 4.05 | NA |
| Whitehead ( | Survey | Adults (515) | 39.48 ± 11.85 | Both knowledge and precautions remained related to stress and that anxiety about developing COVID-19 contributed a large portion of the variance (β = 0.66) but health was no longer significant. For the Age × COVID-19 Anxiety interaction, anxiety was associated with more COVID-19 stress for older adults relative to younger adults | Knowledge of COVID-19. Knowledge of precautions, proactive coping, education |
| Pearman et al. ( | Survey | Elderly (6,938) | 67.3 ± 7.9 | NA (study was on coping methods used) | exercising and going outdoors (26%), modifying routines (25%), following public health guidelines (18.9%), adjusting attitudes (16.1%), and staying socially connected (15.3%). 20% used no coping methods. Some coping strategies were health-limiting (e.g., overeating) (1.1%) |
| Finlay et al. ( | Survey | Elderly (430) | 72.4 ± 6.7 | Risk perception: Most considered themselves to be high risk due to (a) underlying health conditions and (b) due to age Financial impact: mixed (as retired, mostly) Emotions: anxiety, fear, loneliness, lack of social connections | Coping was problem- and emotion-focused. Problem-focused coping included precautionary efforts and emotion-focused coping included creating daily structure, pursuing new and/or creative activities, connecting with others in new ways, and minimizing news media exposure |
| Goins et al. ( | Survey | Elderly (141) | 74.36 ± 8.35 | Perceived stress via PSS-14 questionnaire = 23.5 ± 5.2 (moderate); inversely related to age ( | The three most endorsed coping strategies were acceptance (mean and SD = 2.5 ± 0.8), positive reframing (mean and SD = 1.84 ± 1.06) and active coping (mean and SD = 1.7 ± 1.0), and the three least endorsed coping strategies were behavioral disengagement (mean and SD = 0.2 ± 0.5), substance use (mean and SD = 0.3 ± 0.7) and self-blame (mean and SD = 0.5 ± 0.7). The highest endorsed coping strategy was I’ve been eating healthy and well-balanced meals (mean and SD = 2.4 ± 0.8) and the least endorsed coping strategy was I’ve been practicing mindful movements (e.g., Yoga, Qigong and Tai Chi) (mean and SD = 0.7 ± 1.0) |
| Vannini et al. ( | Survey | Adults (13,180) | 52.42 ± 17.76 | Posttraumatic stress was highly correlated with the psychosocial outcome variables of depression, anxiety, and loneliness. Objective social isolation (e.g., having limited contact with family and friends) was related to stress | Avoidant coping, approach coping, social support |
| Czeisler et al. ( | Survey | Peripartum (162) | 31 ± 4.8 | Stress/anxiety; decline in nutrition, missed appointments; access to baby supplies; less in-health facility deliveries. Financial resources, COVID-19 information and research as it relates to maternal-infant health outcomes, access to safe healthcare, and access to baby supplies (formula, diapers, etc.) emerged as the primary resources needed by participants | Support from friends and family, telemedicine, birthing classes, counseling services, better screening for stressors |
| Barbosa-Leiker et al. ( | Survey | Peripartum (527) | 32.60 ± 4.52 | Predictors of depressive symptoms, anxiety, and post-traumatic stress disorder were analyzed The most common predictors were job insecurity, family concerns, eating comfort foods, resilience/adaptability score, sleep, and use of social and news media. Qualitative themes centered on pervasive uncertainty and anxiety; grief about losses; gratitude for shifting priorities; and use of self-care methods including changing media use | Social support (84%) increased social media use (48%), sleep (44%), eating comfort foods (42%), decreasing news intake (42%), exercising (36%), peer support (32%). Harmful = alcohol (10%), other substance use (5%) |
| Kinser et al. ( | Survey | Perinatal (60) | 32.3 ± 3.8 | Over three-fourths of the sample indicated a worsening of mental health during the pandemic, with 31.7% of women endorsing clinically elevated depression symptoms and 36.7% screening positive for anxiety | Domestic tasks, increased time w/baby for postnatal, being in nature, social support, distracting oneself, exercise and healthy behaviors, better food and water habits, extended breastfeeding w/o need of pumping. Some also had avoidant coping mechanisms which were harmful |
| Anderson et al. ( | Survey | Latinx, Latin, and Hispanic (341) | 40 ± 11.6 | Respondents who identified as Latinx, Latina, or Hispanic were 10 times more likely to meet the threshold score for depression ( | NA |
| Saltzman et al. ( | Survey | Latina (King County) (137) | 42 ± 10.6 | Very few women had been infected with COVID-19, and 23% reported having been tested. Most frequent reasons for not being tested were not knowing where to go (14%), concerns over the cost (15%), and not wanting to know if they were infected (12%). Most participants had concerns about paying for housing (76%) and food (73%). Depression and anxiety symptoms were in the moderate range | Recommended preventive behaviors followed. Coping methods not discussed |
| Ornelas et al. ( | Survey | Latinx (underserved) (43) | 45 ± 11.1 | Six themes related to mental health stressors including economics (e.g., job insecurity), immigration (e.g., undocumented status), misinformation, family stress (e.g., changes in family dynamics and the home environment), health (e.g., limited healthcare access) and social isolation | Coping skills of the community were categorized into four themes with multiple codes including behavioral strategies (e.g., identifying reliable information, relaxation, mindfulness, stimulus control), cognitive strategies (e.g., collectivistic thinking, gratefulness, self-compassion), social support and spirituality (faith, religiosity) |
| Garcini et al. ( | Perspective study | African American | NA | Closure of African American churches (called as “Black Church”) led to increased mental stress to the followers, as they served as a historical and cultural symbol for them and improved mental health in the community members dealing with racism | NA |
| DeSouza et al. ( | Survey | African American adolescents (12) | 12–18 | Participants struggled with adjusting to the changes in their daily routines, navigating virtual learning, and emerging mental health difficulties (e.g., anxiety) | Participants relied on emotion and problem-focused coping strategies, including strategies that were religious/spiritual in nature. Participants also relied on social support from family, school personnel, and their religious community |
| Parker et al. ( | Survey | Korean immigrants (790) | 45.74 ± 12.14 | In terms of psychological distress, almost half of the sample (49.4%) had a low level of psychological distress. The other half (49.2%) had a high level of psychological distress. A person’s resilience was the most important predictor of the level of respondents’ psychological distress (Importance 0.173; Normalized importance 100.0%), followed by experiences of everyday discrimination (Importance 0.144; Normalized importance 83.2%), COVID-19 discrimination (Importance 0.144; Normalized importance 59.8%) and social support (Importance 0.095; Normalized importance 55.1%) | Resilience, social support |
| Choi et al. ( | Survey | American Orthodox Jews (419) | 39.17 ± 15.71 | Participants reported significantly less than average impact of COVID-19 on religious observance, faith in God, and their character (e.g., patience, trust), and significantly more impact on sleep, fitness, work, family, finances, and emotions. A similar pattern of correlations was observed for secondary exposure via news media, social media, and one-on-one communications, which correlated with higher self-reported negative impact overall | Positive religiosity |
HCWs, healthcare workers.