Profiling COVID-related experiences in the United States with the Epidemic-Pandemic Impacts Inventory: Linkages to psychosocial functioning.
TL;DR: In this article, the authors identify specific profiles of pandemic-related experiences and their relation to psychosocial functioning using the 92-item Epidemic-Pandemic Impacts Inventory (EPII).
Abstract: The COVID-19 pandemic has had a profound impact on the lives of individuals, families, and communities around the world with constraints on multiple aspects of daily life. The purpose of the present study was to identify specific profiles of pandemic-related experiences and their relation to psychosocial functioning using the 92-item Epidemic-Pandemic Impacts Inventory (EPII). Data were collected as part of a cross-sectional, online survey of adults (18+) residing in the Northeast region of the United States (N = 652) and recruited via online advertisements. Person-centered latent class analysis (LCA) was applied to 38 pandemic-related experiences that showed a significant bivariate correlation with perceived stress. Measures of psychosocial risk were also obtained. Results revealed five unique profiles of respondents based on patterns of pandemic-related experiences. Three profiles representing about 64% of the sample were characterized by moderate to high exposure to adverse experiences during the pandemic and were more likely to screen positive for depression, anxiety, and posttraumatic stress. These profiles were differentiated by sociodemographic differences, including age, caregiving, and employment status. Two profiles differentiated by age and caregiver status represented about 36% of the sample and were characterized by relatively low exposure to adverse experiences and lower risk for psychosocial impairment. Findings support the EPII as an instrument for measuring tangible and meaningful experiences in the context of an unprecedented pandemic disaster. This research may serve to identify high-risk subpopulations toward developing public health strategies for supporting families and communities in the context of public health emergencies such as the COVID-19 pandemic.
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TL;DR: This article found that high mistrust of the vaccine itself (e.g., concerns about harm and side effects) and weak subjective norms for vaccination in one's close social network may contribute to low vaccination rates across health conditions.
Abstract: Background National data indicate low intentions for COVID-19 vaccination among a substantial minority of Black Americans, and disproportionately lower vaccination rates among Black Americans than White Americans. Methods A total of 207 of the 318 Black participants (65%) in the RAND American Life Panel, a nationally representative internet panel, were surveyed about COVID-19 vaccine intentions in November-December 2020. Participants’ census tracts were geocoded using the Centers for Disease Control and Prevention's Social Vulnerability Index. Results Overall, 35% agreed or strongly agreed that they would not get a COVID-19 vaccine, 40% agreed or strongly agreed that they would get vaccinated, and 25% reported “don't know.” Significant multivariable predictors of not wanting to get vaccinated included high mistrust of the vaccine itself (e.g., concerns about harm and side effects), OR (95% CI) = 2.2 (1.2–3.9), p = .007, and weak subjective norms for vaccination in one's close social network, OR (95% CI) = 0.6 (0.4–0.7), p Conclusions High mistrust around COVID-19 vaccines may lower vaccine confidence. Social network members’ attitudes can be influential in encouraging vaccination. Public health communications could use transparent and clear messaging on safety and efficacy, and acknowledge historical and ongoing discrimination and racism as understandable reasons for low confidence in COVID-19 vaccines. Future research is needed to consider vaccine access challenges in tandem with mistrust as contributing to low vaccination rates across health conditions.
42 citations
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TL;DR: In this article , the authors examined the impact of the pandemic on college students by examining domains of impact on psychiatric and alcohol outcomes and controlling for pre-pandemic outcomes, and found that five correlated domains of COVID-19 impact were associated with mental health and substance outcomes in college students during the first wave of the coronavirus pandemic.
Abstract: ABSTRACT Background The COVID-19 pandemic has imposed fundamental challenges on nearly every area of life. Objective The purpose of the current study was to expand on the literature on the impact of the pandemic on college students by a) examining domains of impact of the pandemic on psychiatric and alcohol outcomes and b) controlling for pre-pandemic outcomes. Method Participants included 897 college students (78.6% female) from a larger longitudinal study on college student mental health. Structural equation models were fit to examine how COVID-19 impact (exposure, worry, food/housing insecurity, change in social media use, change in substance use) were associated with PTSD, anxiety, depression, suicidal ideation, and alcohol phenotypes. Models were fit to adjust for pre-pandemic symptoms. Results No effects of COVID-19 exposure remained after adjusting for earlier outcomes. COVID-19 worry predicted PTSD, depression, and anxiety, even after adjusting for earlier levels of outcomes (β’s: .091–.180, p’s < .05). Housing/food concerns predicted PTSD, anxiety, and depression symptoms as well as suicidal ideation (β’s: .085–.551, p’s < .05) after adjusting for earlier levels of symptoms. Change in media use predicted alcohol consumption (β’s: ± .116−.197, p’s < .05). Change in substance use affected all outcomes except suicidality (β’s: .112–.591, p’s < .05). Conclusions Domains of COVID-19 impact had differential effects on mental health and substance outcomes in college students during the first wave of the coronavirus pandemic. Future studies should examine the trajectory of these factors on college student mental health across waves of the pandemic. HIGHLIGHTS SEMs were used to find that five correlated domains of COVID-19 impact were associated with mental health and substance outcomes in college students during the first wave of the coronavirus pandemic.
15 citations
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TL;DR: Older adults may be more resilient to the impacts of the pandemic than younger cohorts and thus may serve as a critical resource for how to navigate crisis situations of this nature.
Abstract: OBJECTIVES: This study compared emotional and physical health and overall well-being related to social restrictions during the pandemic among older, middle-aged, and younger adults in the United States (n = 276). METHODS: Online surveys collected information on mental and physical health, as well as positive and negative impacts of the pandemic. One-way MANOVAs and hierarchical regressions were used to analyze data. RESULTS: Depressive symptoms and coronavirus anxiety differed significantly by age, with older adults reporting less depressive and anxious symptoms than younger cohorts. Negative COVID experiences significantly predicted higher levels of stress, anxiety, and insomnia symptoms in younger adults as compared to older cohorts. CONCLUSIONS: Findings indicate that social restrictions had a more substantial negative impact amongst younger adults compared to older adults, particularly in terms of mental health and well-being. CLINICAL IMPLICATIONS: Older adults may be more resilient to the impacts of the pandemic than younger cohorts and thus may serve as a critical resource for how to navigate crisis situations of this nature. Future studies should continue to monitor health outcomes as the pandemic subsides in conjunction with the vaccine rollout, as the long-term effects of social distancing and stay-at-home measures are yet to be determined.
10 citations
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TL;DR: In this paper, the authors investigated the impact of the COVID pandemic lockdown on gambling and problem gambling in Canada and found significant decreases in gambling frequency, time spent in gambling sessions, money spent, and the number of game types played.
Abstract: The current study investigated the impact of the COVID pandemic lockdown on gambling and problem gambling in Canada. The AGRI National Project's online panel participants (N = 3449) provided baseline gambling data 6 months prior to the pandemic. Re-surveying this sample during the lockdown provided an opportunity to make quantitative comparisons of the changes. Nearly one-third of gamblers reported ceasing gambling altogether during the lockdown. For the continuing gamblers, quantitative data indicated significant decreases in gambling frequency, time spent in gambling sessions, money spent, and the number of game types played. Qualitative perceptions of changes in gambling were examined and the accuracy of these reports were not closely aligned with actual changes in gambling. Gambling platform was the only gambling engagement metric where increases were found with ~ 17% of the gambling sample migrating to online gambling during the lockdown. Although problem gambling within the sample generally declined, consistent with previous literature, it was also found that gambling online-among other biopsychosocial factors-was a significant predictor for classification as a problem gambler during the lockdown. COVID-specific influences on health, employment, leisure time and social isolation were moderately associated with problem gambling scores but were not independent predictors of changes in gambling engagement during lockdown. Future studies are required to assess if the pandemic related changes in gambling evidenced in this study remain stable, or if engagement reverts to pre-pandemic levels when the pandemic response allows for the re-opening of land-based gambling venues.
7 citations
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TL;DR: In this article , the authors present descriptive information about mothers' pandemic-related stressors and positive changes and then test whether prepandemic maternal well-being and child effortful control predicted mothers' resilient parental outcomes (positive behavior and coping) through the mediators of maternal self-compassion, adherence to family routines, and child coping.
Abstract: The coronavirus disease (COVID-19) pandemic has brought immense psychological pressure and disruptions to daily life for all individuals, and particularly children, parents, and families. Despite these difficulties, parents are able to show resilience through adaptive coping and positive parenting behaviors. Although there is robust research on resilience in children, very little research has tested predictors of parental resilience. The present study presents descriptive information about mothers' pandemic-related stressors and positive changes and then tests whether prepandemic maternal well-being and child effortful control predicted mothers' resilient parental outcomes (positive behavior and coping) through the mediators of maternal self-compassion, adherence to family routines, and child coping. The sample comprised 95 mothers (95.38% European American, 3.2% African American, and 1.1% Asian American) with a mean age of 38.21 years (SD = 5.71 years, Range = 25.72-51.60 years) and education ranging from a high school to an advanced degree (M = 16.26 years, SD = 2.28 years, Range = 12-21 years). Results revealed that prepandemic maternal well-being predicted adaptive coping both directly and indirectly through self-compassion. Children's effortful control predicted maternal adaptive coping indirectly through children's own adaptive coping, and predicted mothers' positive parenting behaviors directly. Posthoc models revealed adherence to routines to be a correlate and outcome, rather than predictor, of positive parenting and bidirectional relations between parent and child coping. This study provides evidence for parent, child, and family-level factors related to parental resilience during the COVID-19 pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
5 citations
References
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TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Abstract: The problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion. These terms are a valid large-sample criterion beyond the Bayesian context, since they do not depend on the a priori distribution.
38,681 citations
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TL;DR: In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity, which makes it a useful clinical and research tool.
Abstract: OBJECTIVE: While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity.
26,004 citations
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TL;DR: The Perceived Stress Scale showed adequate reliability and, as predicted, was correlated with life-event scores, depressive and physical symptomatology, utilization of health services, social anxiety, and smoking-reduction maintenance and was a better predictor of the outcome in question than were life- event scores.
Abstract: This paper presents evidence from three samples, two of college students and one of participants in a community smoking-cessation program, for the reliability and validity of a 14-item instrument, the Perceived Stress Scale (PSS), designed to measure the degree to which situations in one's life are appraised as stressful. The PSS showed adequate reliability and, as predicted, was correlated with life-event scores, depressive and physical symptomatology, utilization of health services, social anxiety, and smoking-reduction maintenance. In all comparisons, the PSS was a better predictor of the outcome in question than were life-event scores. When compared to a depressive symptomatology scale, the PSS was found to measure a different and independently predictive construct. Additional data indicate adequate reliability and validity of a four-item version of the PSS for telephone interviews. The PSS is suggested for examining the role of nonspecific appraised stress in the etiology of disease and behavioral disorders and as an outcome measure of experienced levels of stress.
23,500 citations
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TL;DR: In this article, a 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity, and increasing scores on the scale were strongly associated with multiple domains of functional impairment.
Abstract: Background Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. Methods A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. Results A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. Conclusion The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
15,911 citations
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TL;DR: In this article, the entropy-based information criterion (AIC) has been extended in two ways without violating Akaike's main principles: CAIC and CAICF, which make AIC asymptotically consistent and penalize overparameterization more stringently.
Abstract: During the last fifteen years, Akaike's entropy-based Information Criterion (AIC) has had a fundamental impact in statistical model evaluation problems. This paper studies the general theory of the AIC procedure and provides its analytical extensions in two ways without violating Akaike's main principles. These extensions make AIC asymptotically consistent and penalize overparameterization more stringently to pick only the simplest of the “true” models. These selection criteria are called CAIC and CAICF. Asymptotic properties of AIC and its extensions are investigated, and empirical performances of these criteria are studied in choosing the correct degree of a polynomial model in two different Monte Carlo experiments under different conditions.
3,850 citations