Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 432

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

More Than Inconvenienced: The Unique Needs of U.S. College Students During the COVID-19 Pandemic

Open access
Lederer, Alyssa M., Hoban, Mary T., Lipson, Sarah K., Zhou, Sasha, Eisenberg, Daniel·2021·Health Education & Behavior

Abstract

U.S. college students are a distinct population facing major challenges due to the COVID-19 pandemic. Before the pandemic, students were already experiencing substantial mental health concerns, putting both their health and academic success in jeopardy. College students now face increasing housing and food insecurity, financial hardships, a lack of social connectedness and sense of belonging, uncertainty about the future, and access issues that impede their academic performance and well-being. There is also reason to believe that COVID-19 is exacerbating inequalities for students of color and low-income students. We provide several recommendations for institutions of higher education to mitigate these obstacles, including engaging in data-driven decision making, delivering clear and informative messaging to students, prioritizing and expanding student support services, and using an equity framework to guide all processes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/1090198120969372

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 17 references

Cited by

See all 432

Metadata

Authors
Lederer, A. M., Hoban, M. T., Lipson, S. K., Zhou, S., & Eisenberg, D.
Venue
Health Education & Behavior
Published
2020-10-31
Volume
48
Issue
1
Pages
14-19
ISSN
  • 1090-1981 (ISSN-L)
  • 1552-6127
OpenAlex
W3097740890
Cited by
432
References
17
FWCI
26.76
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: More Than Inconvenienced: The Unique Needs of U.S. College Students During the COVID-19 Pandemic. https://app.cochat.ai/papers/10.1177/1090198120969372
The paper
Lederer, A. M., Hoban, M. T., Lipson, S. K., Zhou, S., & Eisenberg, D. (2021). More Than Inconvenienced: The Unique Needs of U.S. College Students During the COVID-19 Pandemic. Health Education & Behavior. https://doi.org/10.1177/1090198120969372

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.