Anxiety and depression among US college students engaging in undergraduate research during the COVID-19 pandemic

Grineski, Sara E.; Morales, Danielle X.; Collins, Timothy W.; Nadybal, Shawna; Trego, Shaylynn

doi:10.1080/07448481.2021.2013237

Cited by 18 publications

(17 citation statements)

References 50 publications

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“…This finding in fact contradicts the existing research. Research has revealed that support from faculty, one form of social support, protected undergraduate students from severe depression during COVID-19 [49], and those who were able to virtually connect with others socially were better able to cope with the stress induced by encountering COVID-19-related discrimination [50]. One possible explanation for this contradiction could be that this study's data were collected during the initial peak of the pandemic when institutional support and virtual social connections had not yet been firmly established by the students.…”

Section: Discriminatory Impact Related To the Covid-19 Pandemicmentioning

confidence: 99%

Student adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach

et al. 2022

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The COVID-19 pandemic has presented unprecedented challenges for university students, creating uncertainties for their academic careers, social lives, and mental health. Our study utilized a machine learning approach to examine the degree to which students’ college adjustment and coping styles impacted their adjustment to COVID-19 disruptions. More specifically, we developed predictive models to distinguish between well-adjusted and not well-adjusted students in each of five psychological domains: academic adjustment, emotionality adjustment, social support adjustment, general COVID-19 regulations response, and discriminatory impact. The predictive features used for these models are students’ individual characteristics in three psychological domains, i.e., Ways of Coping (WAYS), Adaptation to College (SACQ), and Perceived Stress Scale (PSS), assessed using established commercial and open-access questionnaires. We based our study on a proprietary survey dataset collected from 517 U.S. students during the initial peak of the pandemic. Our models achieved an average of 0.91 AUC score over the five domains. Using the SHAP method, we further identified the most relevant risk factors associated with each classification task. The findings reveal the relationship of students’ general adaptation to college and coping in relation to their adjustment during COVID-19. Our results could help universities identify systemic and individualized strategies to support their students in coping with stress and to facilitate students’ college adjustment in this era of challenges and uncertainties.

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Section: Discriminatory Impact Related To the Covid-19 Pandemicmentioning

confidence: 99%

Student adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach

et al. 2022

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“…However, even at relatively well-equipped institutions such as Georgia Tech, there are hardly any courses for undergraduate students that deliver hands-on experimental instruction in contemporary tools in metabolomics and natural product chemistry. Furthermore, the COVID-19 pandemic has had a profound deleterious impact on undergraduate research [ 24 , 25 , 26 , 27 ]. It is thus our motivation that the findings and workflows described herein will motivate the development of similar curricula at other institutions, ultimately seeding interest in undergraduate students for continuing to engage with natural products and -omics-based research at the postgraduate levels and beyond.…”

Section: Introductionmentioning

confidence: 99%

Limited Metabolomic Overlap between Commensal Bacteria and Marine Sponge Holobionts Revealed by Large Scale Culturing and Mass Spectrometry-Based Metabolomics: An Undergraduate Laboratory Pedagogical Effort at Georgia Tech

et al. 2023

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Sponges are the richest source of bioactive organic small molecules, referred to as natural products, in the marine environment. It is well established that laboratory culturing-resistant symbiotic bacteria residing within the eukaryotic sponge host matrix often synthesize the natural products that are detected in the sponge tissue extracts. However, the contributions of the culturing-amenable commensal bacteria that are also associated with the sponge host to the overall metabolome of the sponge holobiont are not well defined. In this study, we cultured a large library of bacteria from three marine sponges commonly found in the Florida Keys. Metabolomes of isolated bacterial strains and that of the sponge holobiont were compared using mass spectrometry to reveal minimal metabolomic overlap between commensal bacteria and the sponge hosts. We also find that the phylogenetic overlap between cultured commensal bacteria and that of the sponge microbiome is minimal. Despite these observations, the commensal bacteria were found to be a rich resource for novel natural product discovery. Mass spectrometry-based metabolomics provided structural insights into these cryptic natural products. Pedagogic innovation in the form of laboratory curricula development is described which provided undergraduate students with hands-on instruction in microbiology and natural product discovery using metabolomic data mining strategies.

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“…How the COVID-19 pandemic has affected undergraduate researchers is poorly understood [ 13 , 14 , 33 , 34 ]. To advance knowledge, we developed and administered a survey to over 1000 undergraduate students across the country who were doing or planning to do research in spring and/or summer 2020.…”

Section: Introductionmentioning

confidence: 99%

A US National Study of Barriers to Science Training Experienced by Undergraduate Students during COVID-19

Grineski

Morales

Collins

et al. 2022

IJERPH

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Undergraduate research is a high-impact practice on college campuses. How the COVID-19 pandemic has affected undergraduate researchers’ progress is poorly understood. We examine how demographics, academic characteristics, research disruptions and faculty mentorship are associated with four barriers to research progress. Data are drawn from a survey of over 1000 undergraduate student researchers across the US. We examine students who actively continued to conduct faculty-mentored research during mid-March/April 2020 (n = 485). Using generalized estimating equations that control clustering by institution, we found economic hardship, discomfort teleconferencing, lower quality mentors, sexual minority status and higher grade point averages were associated with motivation problems. Economic hardship, serious illness, Internet connection issues, a lack of face-to-face meetings and lower a frequency of mentor–mentee communication were associated with a time crunch with regard to conducting research. Discomfort teleconferencing, Internet connection issues, a lack of face-to-face meetings and decrease in research workload were associated with task uncertainty. Economic hardship, serious illness and being an engineering major were associated with lacking needed tools for the research. In sum, economic hardship was an important correlate of research barriers, as were communication challenges and sexual minority status. Results can inform practical actions by research program directors and faculty undergraduate research mentors.

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Anxiety and depression among US college students engaging in undergraduate research during the COVID-19 pandemic

Cited by 18 publications

References 50 publications

Student adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach

Student adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach

Limited Metabolomic Overlap between Commensal Bacteria and Marine Sponge Holobionts Revealed by Large Scale Culturing and Mass Spectrometry-Based Metabolomics: An Undergraduate Laboratory Pedagogical Effort at Georgia Tech

A US National Study of Barriers to Science Training Experienced by Undergraduate Students during COVID-19

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