Evidence map›Paper›PMID 38093232›Full record

ArticleBMC psychiatry2023

Exploring symptom-level associations between anxiety and depression across developmental stages of adolescence: a network analysis approach.

Yunhan He, Chengrui Wu, Joelle LeMoult, Jiasheng Huang, Yue Zhao, Kaixin Liang, Shiyun Chen, Enna Wang, Liuyue Huang, Xinli Chi

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Stable structure, shifting links: How depression-anxiety symptom networks reconfigure from pregnancy to postpartum.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 6 institutions in 5 countries.

Yunhan He *School of psychology, Shenzhen University, No. 3688, Nanhai Avenue, Nanshan District, Shenzhen, Guangdong, 518060, China.
Chengrui Wu *Graduate School of Education, University of Pennsylvania, Philadelphia, PA, USA.
Joelle LeMoultDepartment of Psychology, University of British Columbia, Vancouver, Canada.
Jiasheng HuangDepartment of Psychology, Sun Yat-sen University, Guangzhou, China.
Yue ZhaoSchool of psychology, Shenzhen University, No. 3688, Nanhai Avenue, Nanshan District, Shenzhen, Guangdong, 518060, China.
Kaixin LiangDepartment of Psychology, Faculty of Social Sciences, University of Macau, Macau, China.
Shiyun ChenDepartment of Applied Social Science, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Enna WangSchool of Psychology, Northwest Normal University, Lanzhou, China.
Liuyue HuangDepartment of Psychology, Faculty of Social Sciences, University of Macau, Macau, China.
Xinli ChiSchool of psychology, Shenzhen University, No. 3688, Nanhai Avenue, Nanshan District, Shenzhen, Guangdong, 518060, China. xinlichi@szu.edu.cn.
Hong Kong Polytechnic University · HKShenzhen University · CNUniversity of Macau · MONorthwest Normal University · CNSun Yat-sen University · CNUniversity of British Columbia · CA

Funding

Natural Science Foundation of Guangdong Province 2021A1515011330
6 · The paper itself

Abstract

backgroundAnxiety and depression often co-occur during adolescence, but the associations between symptoms of these two disorders in this developmental period are not yet fully understood. Network analysis provides a valuable approach to uncover meaningful associations among symptoms and offers insights for prevention and intervention strategies. This study aimed to investigate symptom-level associations between anxiety and depression using network analysis and to identify core symptoms, bridge symptoms, and differences in network structure across different stages of adolescence.

methodsThe cross-sectional study was conducted in March 2022 in Shenzhen, China. Participants completed the Generalized Anxiety Disorder Scale-7 and Patient Health Questionnaire Depression Scale, along with demographic questionnaires assessing age and gender. Chinese adolescents aged 10 to 17 who were in Grades 5 or 6 of elementary school, Grades 1 or 2 of middle school, or Grades 1 or 2 of high school, and who could comprehensively understand and read Chinese were recruited as participants. Students in Grade 3 of middle and high schools were excluded due to their upcoming high school or college entrance examinations. Based on age, participants were categorized into early, middle, and late developmental stages of adolescence.

results"Loss of control" was among the most central symptoms in the comorbidity network throughout all three developmental stages; "excessive worry" and "anhedonia" emerged as the core symptoms in early adolescence, and "restlessness" as the core symptom in late adolescence. "Anhedonia," "sad mood," and "fatigue" were identified as bridge symptoms between anxiety and depression across all three developmental stages of adolescence. The global strength of the network in middle adolescence was significantly higher compared to the other two stages.

conclusionThese findings highlight the core and bridge symptoms that require special attention and intervention at each stage of adolescence. Moreover, significantly higher network connectivity in middle adolescence suggests this is a critical period for intervention to prevent the development of comorbid mental disorders.

Indexed as

AnxietyDepressionAdolescentAnhedoniaAnxiety DisordersComorbidityCross-Sectional StudiesHumansAdolescenceAnxietyComorbidityDepressionNetwork analysis

Identifiers

PMID38093232
PMCPMC10720222
OpenAlexW4389671832

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.