Evidence map›Paper›PMID 39628977›Full record

ArticleComprehensive psychoneuroendocrinology2024

Understanding psychological symptoms among Chinese college students during the COVID-19 Omicron pandemic: Findings from a national cross-sectional survey in 2023.

You Xin, Tianrui Ren, Xu Chen, Xin Liu, Yijin Wu, Shu Jing, Ling Zhang, Zhenwei Dai, Ye Wang, Xiaoyou Su

Abstract read
In one paragraph

Article in Comprehensive psychoneuroendocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

10 authors.

You XinSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tianrui RenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xu ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xin LiuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yijin WuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shu JingSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ling ZhangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhenwei DaiSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ye WangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaoyou SuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the Omicron pandemic in late 2022, this study surveyed Chinese students via an online questionnaire to assess their mental health status, prevalence of psychological symptoms, and associated factors. A nationwide cross-sectional survey of 4254 participants was conducted in seven regions of China from January 5 to February 9, 2023. Scales were utilized respectively to measure depressive symptoms, anxiety symptoms, post-traumatic stress disorder (PTSD) symptoms, and perceived social support. Descriptive, univariate, and multivariable analyses were performed to identify associated factors. Protective factors against depressive symptoms include regular exercise and robust social support networks, while risk factors involve excessive alcohol consumption, comorbidities, Omicron infection, and irregular sleep patterns. Risk factors for anxiety symptoms include comorbidities, Omicron infection, living alone, and irregular sleep patterns, while social support emerges as a protective factor. For PTSD symptoms, regular exercise and strong social support systems are identified as protective measures, with risks associated with comorbidities, Omicron infection, and poor sleep quality. Students are particularly vulnerable during the pandemic due to their lifestyle and academic pressures. It's essential to bolster their social support and promote healthier habits.

Indexed as

Anxiety symptomsCOVID-19Depressive symptomsPTSD symptoms1

Identifiers

PMID39628977
PMCPMC11612361

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.