2022
DOI: 10.1080/20008198.2021.2022279
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The COVID-19 pandemic impacts psychiatric outcomes and alcohol use among college students

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Cited by 34 publications
(32 citation statements)
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“…Previous work from our group using this data found that a five correlated factor model representing distinct, but related, COVID-19 impact constructs was found to represent the item-level response data on questions assessing COVID-19 impact most accurately (Bountress et al, 2022). The five constructs are as follows: COVID-19 worry (e.g., concern about family and friends being infected with COVID-19; range of factor loadings of items: .65–.94), COVID-19 exposure (e.g., in contact with someone known to have COVID-19; range of factor loadings of items: .63–.99), housing/food insecurity (e.g., concern about accessibility of food due to financial strain; range of factor loadings of items: .644–.72), change in social media use (e.g., how often someone is consuming content from social media; range of factor loadings of items: .43–.75), and change in substance use (e.g., increase or decrease in alcohol use; range of factor loadings of items: .58–.82).…”
Section: Methodsmentioning
confidence: 93%
“…Previous work from our group using this data found that a five correlated factor model representing distinct, but related, COVID-19 impact constructs was found to represent the item-level response data on questions assessing COVID-19 impact most accurately (Bountress et al, 2022). The five constructs are as follows: COVID-19 worry (e.g., concern about family and friends being infected with COVID-19; range of factor loadings of items: .65–.94), COVID-19 exposure (e.g., in contact with someone known to have COVID-19; range of factor loadings of items: .63–.99), housing/food insecurity (e.g., concern about accessibility of food due to financial strain; range of factor loadings of items: .644–.72), change in social media use (e.g., how often someone is consuming content from social media; range of factor loadings of items: .43–.75), and change in substance use (e.g., increase or decrease in alcohol use; range of factor loadings of items: .58–.82).…”
Section: Methodsmentioning
confidence: 93%
“…There are now several longitudinal studies of change in mental health measures among children and young adults before and during the COVID-19 pandemic [22]. Several comprehensive studies of college and university students in the United States include data on prepandemic mental health, analyses of predictors, and a focus on serious psychiatric and alcohol/drug use outcomes [23,24], but data are lacking for high school students. Stamatis et al found that the disruption due to the pandemic and limited confidence in the government response were the main predictors of depression among college students [24].…”
Section: Plos Onementioning
confidence: 99%
“…Stamatis et al found that the disruption due to the pandemic and limited confidence in the government response were the main predictors of depression among college students [24]. Bountress et al found that COVID-19 worry predicted post-traumatic stress disorder (PTSD), depression and anxiety even after adjusting for pre-pandemic symptom levels [23]. In addition, housing/food concerns predicted PTSD, anxiety and depression symptoms as well as suicidal ideation, after adjusting for pre-pandemic symptoms in college students [23].…”
Section: Plos Onementioning
confidence: 99%
“…The unanticipated and traumatic effects of COVID-19 and quarantining since January 2020 have negatively impacted the mental health of undergraduate college students. Researchers have primarily evaluated social stress and academic stress ( Vidal Bustamante et al, 2022 ), anxiety ( Brooks et al, 2020 ; Kochuvilayil et al, 2021 ; Bountress et al, 2022 ; Kaur et al, 2022 ; Song et al, 2022 ; Tshering and Dema, 2022 ), anger ( Brooks et al, 2020 ), and depression ( Brooks et al, 2020 ; Bountress et al, 2022 ; Tshering and Dema, 2022 ) in this vulnerable population. In addition, a plethora of other reported outcomes during COVID-19 included loneliness ( Xiang et al, 2020 ; Kaur et al, 2022 ), isolation ( Hasratian et al, 2021 ; Kaur et al, 2022 ), sleep disturbance/difficulty sleeping or insomnia ( Kochuvilayil et al, 2021 ; Zhang et al, 2021 ; Song et al, 2022 ), fatigue ( Mosleh et al, 2022 ), burnout ( Kaggwa et al, 2021 ), PTSD ( Brooks et al, 2020 ; Bountress et al, 2022 ), future uncertainty ( Miconi et al, 2022 ), witnessing death in relatives ( Hasratian et al, 2021 ), relocation/displacement ( Hasratian et al, 2021 ), alcohol ( Bountress et al, 2022 ), e-cigarette ( Merianos et al, 2022 ), and cannabis use ( Merianos et al, 2022 ; Merrill et al, 2022 ), financial insecurities, loss or stressors of income ( Hasratian et al, 2021 ), unhealthy eating behaviors ( Kochuvilayil et al, 2021 ), academic concerns ( Kochuvilayil et al, 2021 ; Vidal Bustamante et al, 2022 ), contagion (i.e., fear of contracting the disease; Wheaton et al, 2021 ), mobile phone addiction ( Jiang et al, 2022 ; Peng et al, 2022 ), relationship problems ( Gallegos et al, 2021 ; Herbenick et al, 2022 ), sexual activity problems ( Ellakany et al, 2022 ; Herbenick et al, 2022 ), increased screen time ( Ellakany et al, 2022 ), suicidal behavior ( López Steinmetz et al, 2021 ; Bountress et al, 2022 ; Rahman et al, 2022 ), self-harm ( Kim et al, 2021 <...…”
Section: Introductionmentioning
confidence: 99%
“…Researchers have primarily evaluated social stress and academic stress ( Vidal Bustamante et al, 2022 ), anxiety ( Brooks et al, 2020 ; Kochuvilayil et al, 2021 ; Bountress et al, 2022 ; Kaur et al, 2022 ; Song et al, 2022 ; Tshering and Dema, 2022 ), anger ( Brooks et al, 2020 ), and depression ( Brooks et al, 2020 ; Bountress et al, 2022 ; Tshering and Dema, 2022 ) in this vulnerable population. In addition, a plethora of other reported outcomes during COVID-19 included loneliness ( Xiang et al, 2020 ; Kaur et al, 2022 ), isolation ( Hasratian et al, 2021 ; Kaur et al, 2022 ), sleep disturbance/difficulty sleeping or insomnia ( Kochuvilayil et al, 2021 ; Zhang et al, 2021 ; Song et al, 2022 ), fatigue ( Mosleh et al, 2022 ), burnout ( Kaggwa et al, 2021 ), PTSD ( Brooks et al, 2020 ; Bountress et al, 2022 ), future uncertainty ( Miconi et al, 2022 ), witnessing death in relatives ( Hasratian et al, 2021 ), relocation/displacement ( Hasratian et al, 2021 ), alcohol ( Bountress et al, 2022 ), e-cigarette ( Merianos et al, 2022 ), and cannabis use ( Merianos et al, 2022 ; Merrill et al, 2022 ), financial insecurities, loss or stressors of income ( Hasratian et al, 2021 ), unhealthy eating behaviors ( Kochuvilayil et al, 2021 ), academic concerns ( Kochuvilayil et al, 2021 ; Vidal Bustamante et al, 2022 ), contagion (i.e., fear of contracting the disease; Wheaton et al, 2021 ), mobile phone addiction ( Jiang et al, 2022 ; Peng et al, 2022 ), relationship problems ( Gallegos et al, 2021 ; Herbenick et al, 2022 ), sexual activity problems ( Ellakany et al, 2022 ; Herbenick et al, 2022 ), increased screen time ( Ellakany et al, 2022 ), suicidal behavior ( López Steinmetz et al, 2021 ; Bountress et al, 2022 ; Rahman et al, 2022 ), self-harm ( Kim et al, 2021 ), and fear of death ( Xiang et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%