Psychological Distress and Loneliness Reported by US Adults in 2018 and April 2020

McGinty, Emma E.; Presskreischer, Rachel; Han, Hahrie; Barry, Colleen L.

doi:10.1001/jama.2020.9740

Cited by 868 publications

(919 citation statements)

References 2 publications

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“…Figure 2 shows the ROC curves for two categories, high vs. low, of the psychological distress level. The higher the ROC curves are from the diagonal line, which serves as the reference line, the better the model is [ 55 ]. Both of the ROC curves for two categories of the dependent variable in the model are far away from the diagonal line.…”

Section: Resultsmentioning

confidence: 99%

“…This means that the given neural network can predict a person with high vs. low psychological distress with sensitivity above 80.6%. AUC between 0.8 to 0.9 is considered an excellent model with the predictive ability [ 55 ]. Table 3 shows the importance of each independent variable in predicting the level of respondents’ psychological distress.…”

Section: Resultsmentioning

confidence: 99%

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Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.

Choi

Hong

Kim

et al. 2020

IJERPH

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The current study examined the predictive ability of discrimination-related variables, coping mechanisms, and sociodemographic factors on the psychological distress level of Korean immigrants in the U.S. amid the COVID-19 pandemic. Korean immigrants (both foreign-born and U.S.-born) in the U.S. above the age of 18 were invited to participate in an online survey through purposive sampling. In order to verify the variables predicting the level of psychological distress on the final sample from 42 states (n = 790), the Artificial Neural Network (ANN) analysis, which is able to examine complex non-linear interactions among variables, was conducted. The most critical predicting variables in the neural network were a person’s resilience, experiences of everyday discrimination, and perception that racial discrimination toward Asians has increased in the U.S. since the beginning of the COVID-19 pandemic.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.

Choi

Hong

Kim

et al. 2020

IJERPH

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show abstract

“…In addition to representing a major threat to population physical health, the COVID-19 pandemic poses a threat to population mental health due to increased and prolonged feelings of fear and uncertainty; separation and grief; and disruption to social and economic systems (1). Emerging international evidence indicates that posttraumatic stress disorder (PTSD) and depression symptoms are common in the general population during the early phase of this pandemic (2,3). Another threat to population mental health is the implementation of nationwide quarantine measures enacted to curb the spread of COVID-19.…”

Section: Introductionmentioning

confidence: 99%

Anxiety and depression in the Republic of Ireland during the COVID‐19 pandemic

Hyland

Shevlin

McBride

et al. 2020

Acta Psychiatr Scand

486

332

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Background The COVID‐19 pandemic in Ireland resulted in a nationwide quarantine on March 27, 2020. This study represents the first assessment of rates of anxiety and depression in the general population of Ireland during the pandemic. Aims Our first aim was to estimate the probable prevalence rates of generalized anxiety disorder (GAD) and depression and to identify sociodemographic risk factors associated with screening positive for GAD or depression. Our second aim was to determine if COVID‐19 related anxiety was highest amongst those in society at greatest risk of morality from COVID‐19. Method Self‐report data were collected from a nationally representative Irish sample (N = 1041) online between March 31 and April 5; the first week of the nationwide quarantine measures. Recognized cut‐off scores on the GAD‐7 and PHQ‐9 were used to estimate rates of GAD and depression. Correlates of screening positive for GAD or depression were assessed using logistic regression analysis. Results GAD (20.0%), depression (22.8%) and GAD or depression (27.7%) was common. Screening positive for GAD or depression was associated with younger age, female sex, loss of income due to COVID‐19, COVID‐19 infection and higher perceived risk of COVID‐19 infection. Citizens aged 65 and older had significantly higher levels of COVID‐19 related anxiety than adults aged 18–34. Conclusions Initial results from this multi‐wave study monitoring changes in population anxiety and depression throughout the pandemic indicate that GAD and depression were common experiences in the population during the initial phase of the COVID‐19 pandemic.

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“…Indirect psychological harms occur through the economic impacts of the pandemic and resulting losses of employment, financial security and housing, along with the detrimental effects of disrupted education and enforced inactivity. These harms are already being observed [4], and will disproportionately affect some of the most vulnerable in society [5], such as people with a learning disability, people with severe mental illness, those living in deprived areas and young adults. Many in these vulnerable groups already have poor diabetes outcomes [6–8].…”

Section: Individual Level Risksmentioning

confidence: 99%

How do we recover from COVID‐19? Helping diabetes teams foresee and prepare for the psychological harms

Stewart

2020

Diabet. Med.

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The scale of the COVID‐19 pandemic is entirely unprecedented. However, as depicted in Fig. 1, evidence from previous large‐scale disasters indicates that following a first wave of admissions and deaths from COVID‐19, there are likely to be subsequent waves of people with acute care needs worsened by delayed hospital treatment, and people with long‐term conditions whose routine care has been disrupted [1]. People with diabetes are likely to constitute a large proportion of those with acute second‐ and third‐wave care needs, and in many cases, management of their condition may also have been negatively affected by lockdown.

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Psychological Distress and Loneliness Reported by US Adults in 2018 and April 2020

Cited by 868 publications

References 2 publications

Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.

Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.

Anxiety and depression in the Republic of Ireland during the COVID‐19 pandemic

How do we recover from COVID‐19? Helping diabetes teams foresee and prepare for the psychological harms

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