Evidence map›Paper›PMID 39736526›Full record

ArticleBMC public health2024

The differences in symptom networks of depression, anxiety, and sleep in college students with different stress levels.

Wei Li, Shuhui Huo, Fei Yin, Zhengyu Wu, Xueqi Zhang, Zhengjun Wang, Jianqin Cao

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Wei LiSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, 163000, China.
Shuhui HuoSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, 163000, China.
Fei YinSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, 163000, China.
Zhengyu WuSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, 163000, China.
Xueqi ZhangSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, 163000, China.
Zhengjun WangSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, 163000, China.
Jianqin CaoSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, 163000, China. cjq338@163.com.

Funding

Natural Science Foundation of Heilongjiang Province LH2020H030the Fundamental Research Funds for the Provincial Universities JFQN202103the Humanities and Social Sciences Project, Ministry of Education 24YJAZH005the National Natural Science Foundation of China 72204068the Philosophy and Social Science Research Planning Project of Heilongjiang Province 19EDB091
6 · The paper itself

Abstract

backgroundStress is closely related to depression, anxiety, and sleep problems. However, few studies have explored the complex symptom-level relationships among these variables at different stress levels among college students.

methodsFrom March to April 2024, a survey was conducted using a convenience sampling method in three universities in Daqing City, Heilongjiang Province. A total of 7,845 participants (2,447 males and 5,398 females) were assessed using the Psychological Stress Tolerance Index (PSTR), the General Health Questionnaire-20 (GHQ-20), and the Self-Rating Scale of Sleep (SRSS). Based on the GHQ-20 scores, college students were categorized into low, medium, and high-stress levels. Non-parametric tests and Post-hoc tests were conducted to explore the impact of stress levels on depression, anxiety, and sleep. Network analysis methods were used to reveal the differences in the symptom networks of depression, anxiety, and sleep among college students at different stress levels.

resultsNon-parametric test results indicate significant differences in depression, anxiety, and sleep scores among high, medium, and low-stress groups. Post-hoc tests reveal that the high-stress group scores significantly higher in depression, anxiety, and sleep than the medium and low-stress groups. The medium-stress group scored significantly higher than the low-stress group. Network analysis shows that the core symptoms in the low-stress group are "Difficulty falling asleep", "Anxious and restless", and "Taking sleeping pills", with bridging symptoms including "Hopeless future", "Feeling useless", "Life is a battlefield", and "Anxious and restless". For the medium-stress group, the core symptoms are "Difficulty falling asleep", "Easily awakened after sleeping", and "Life is hopeless", with bridging symptoms including "Feeling useless", "Life is a battlefield", "Anxious and restless", and "Taking sleeping pills". In the high-stress group, the core symptoms are "Difficulty falling asleep", "Feeling useless", and "Anxious and resless", with bridging symptoms including "Feeling useless", "Life is a battlefield", "Anxious and restless", and "Stress hinders tasks".

conclusionStress exacerbates depression, anxiety, and sleep problems among college students, with differences in core symptoms and bridging symptoms of depression, anxiety, and sleep disturbances at varying levels of stress. Therefore, precise interventions can be implemented based on the core and bridge symptoms of the three networks, further improving university students' physical and mental health.

Indexed as

AnxietyDepressionSleep Wake DisordersStress, PsychologicalStudentsAdolescentAdultChinaFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung AdultAnxietyCollege studentDepressionNetwork analysisSleepStress

Identifiers

PMID39736526
PMCPMC11684240

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.