Evidence map›Paper›PMID 36709699›Full record

ArticlePsychiatry research2023

A longitudinal study on college students' depressive symptoms during the COVID-19 pandemic: The trajectories, antecedents, and outcomes.

Jiayin Wu, Qinxue Liu

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jiayin WuSchool of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Adolescent Cyberpsychology and Behavior, Central China Normal University, Ministry of Education, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, Wuhan, China.
Qinxue LiuSchool of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Adolescent Cyberpsychology and Behavior, Central China Normal University, Ministry of Education, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, Wuhan, China. Electronic address: qinxueliu@ccnu.edu.cn.
Central China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing COVID-19 pandemic is not only an immediate hazard but also a long-term risk to the development of depressive symptoms. However, it remains unclear how people's depressive symptoms change with the process of COVID-19. Further, there is also a paucity of research on the underlying antecedents and outcomes of depressive symptoms during this global health crisis. In this study, a longitudinal study was conducted in China and the data of 559 participants were collected from the outbreak period to the normalization period of the pandemic through self-report questionnaires. Depressive symptoms were longitudinally analyzed using Patient Health Questionnaire-9. Core variables involving society, family, individual cognition, and behaviors were studied as determinants or consequences. Latent growth curve model analyses indicated that college students had mild depressive symptoms at the initial stage of COVID-19 with a subsequent decreasing linear slope. Depressive symptoms were significantly predicted by college students' risk perception of COVID-19, social support, family functioning, and smartphone addiction tendency. Further, their depressive symptoms predicted the changes in smartphone addiction tendency and levels of hope. In conclusion, current findings can provide implications for future prevention and intervention of mental disorders to assist college students through such challenging times.

Indexed as

COVID-19DepressionHumansLongitudinal StudiesPandemicsStudentsCollege studentsCOVID-19Depressive symptomsLatent growth curve model

Identifiers

PMID36709699
PMCPMC9846888
OpenAlexW4317214717

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.