Evidence map›Paper›PMID 38988518›Full record

ArticleHeliyon2024

Prevalence of subthreshold depression and its related factors in Chinese college students: A cross-sectional study.

Pu Ge, Cheng Tan, Jia-Xin Liu, Qiong Cai, Si-Qi Zhao, Wen-Ying Hong, Kun-Meng Liu, Jia-le Qi, Chen Hu, Wen-Li Yu and 15 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

25 authors.

Pu GeInstitute of Chinese Medical Sciences, University of Macau, Macau, China.
Cheng TanSchool of Government, Peking University, Beijing, China.
Jia-Xin LiuXiangya School of Nursing, Central South University, Changsha, China.
Qiong CaiSchool of Public Health, Peking University, Beijing, China.
Si-Qi ZhaoGuangzhou University, Guangzhou, China.
Wen-Ying HongDepartment of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, China.
Kun-Meng LiuCenter for Medical Artificial Intelligence, Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China.
Jia-le QiSchool of Journalism&Communication, Zhengzhou University, Zhengzhou, China.
Chen HuZijin College of Nanjing University of Technology, Nanjing, China.
Wen-Li YuSchool for Sports Humanities and Social Science, Jilin Sport University, Changchun, China.
Yi-Miao LiSchool of Nursing, Tianjin Medical University, Tianjin, China.
Yuan YouSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Jin-Han GuoDepartment of Economics, Belarus State University, Minsk, Belarus.
Ming-Yan HaoShanxi Medical University, Shanxi, China.
Yang ChenCollege of Clinical Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, Hubei Province, China.
Lu-Tong PanSchool of Public Health, ShanDong University, Jinan, Shandong, China.
Di-Yue LiuInternational School of Public Health and One Health, Hainan Medical University, Haikou, China.
Meng-Yao YanSchool of Health Policy and Management, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Jin-Zi ZhangSchool of Humanities and Social Sciences, Harbin Medical University, Harbin, China.
Qi-Yu LiSchool of Humanities and Health Management, Jinzhou Medical University, Jinzhou, China.
Bo-Ya SunZhejiang University of Media and Communication, Zhejiang, China.
Xiao HanThe Fifth Affiliated Hospital of Sun Yat-sat University, Zhuhai, China.
Fuer MoInstitute of Chinese Medical Sciences, University of Macau, Macau, China.
Yi-Bo WuSchool of Public Health, Peking University, Beijing, China.
Ying BianInstitute of Chinese Medical Sciences, University of Macau, Macau, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the prevalence of subthreshold depression among Chinese college students and to explore the related factors. Methods: The research subjects were Chinese college students participating in the "2022 Psychology and Behavior Investigation of Chinese Residents (PBICR-2022)". Data on respondents' general characteristics, quality of life, perceived pressure, family communication, perceived social support, self-efficacy, and depression status were gathered. To investigate the association between each variable and the risk of subthreshold depression, statistical analyses, including chi-square tests and rank sum tests were conducted. Furthermore, a binary stepwise logistic regression was employed to establish the regression model of the factors related to subthreshold depression among Chinese college students. Results: A prevalence of subthreshold depression of about 39.7 % was found among the 8934 respondents. Logistic regression analysis revealed that respondents who are female, have chronic diseases, are in debt, experience significant impacts from epidemic control policies, have lower self-assessed quality of life, experience challenges in family communication, perceive lower social support, have lower self-efficacy, and feel higher perceived pressure are more likely to develop subthreshold depression compared to the control group. (P < 0.05). Conclusion: The prevalence rate of subthreshold depression among Chinese college students was found to be approximately 40 %. Female college students suffering from chronic diseases, with households in debt, greatly impacted by epidemic control policies, and experiencing high perceived stress, may be at risk for subthreshold depression among Chinese college students. On the other hand, strong family communication, perceived social support, and self-efficacy were identified as potential protective factors. In order to facilitate timely screening, diagnosis, and treatment of subthreshold depression in Chinese college students, it is crucial for the government, local communities, colleges, and families to prioritize the mental health of college students and implement targeted measures accordingly.

Indexed as

ChinaCollege studentsCross-sectional investigationMental healthPHQ-9Subthreshold depression

Identifiers

PMID38988518
PMCPMC11233893

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.