Evidence map›Paper›PMID 40110004›Full record

ArticleWorld journal of psychiatry2025

Sex and age differences in depression and anxiety networks among adolescents with idiopathic scoliosis: A network analysis.

Shu-Wen Dong, Lei Yang, Yi-Fan Lin, Li-Wen Yang, Dan Li, Li-Wan Zhu, Cai-Yun Zhang, Yan-Zhi Li, Wan-Xin Wang, Ci-Yong Lu and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in World journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07737886 (Feasibility, Acceptability, and Preliminary Effects of Virtual Reality for Pain, Anxiety and Recovery Enhancement of Children Post-Scoliosis Surgical Repair), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT07737886 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Feasibility, Acceptability, and Preliminary Effects of Virtual Reality for Pain, Anxiety and Recovery Enhancement of Children Post-Scoliosis Surgical Repair: A Pilot Randomized Controlled Parallel Trial (VR-SPINE)

TypeinterventionalSponsorSt. Justine's HospitalRan2026 to 2028Enrolled24ConditionsScoliosis PatientsArmsVirtual Reality, Standard medical treatment
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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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

11 authors.

Shu-Wen DongDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Lei YangDepartment of Spine Surgery, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Yi-Fan LinDepartment of Spine Surgery, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Li-Wen YangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Dan LiDepartment of Spine Surgery, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Li-Wan ZhuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Cai-Yun ZhangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Yan-Zhi LiDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Wan-Xin WangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Ci-Yong LuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China. luciyong@mail.sysu.edu.cn.
Bin YanDepartment of Spine Surgery, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and anxiety are prevalent psychological challenges among patients with adolescent idiopathic scoliosis (AIS), affecting individuals across both sex and age groups.

aimTo explore the network structure of depression and anxiety symptoms, with a focus on identifying differences at the symptom level between sex and age subgroups.

methodsA total of 1955 participants diagnosed with AIS aged 10-18 years were assessed using the Patient Health Questionnaire Depression Scale (PHO-9) and the Generalized Anxiety Disorder Scale (GAD-7), and 765 patients exhibiting PHQ-9 or GAD-7 scores ≥ 5 were enrolled in our study. Network analysis and network comparison tests were utilized to construct and compare the depression-anxiety symptoms networks among sex and age subgroups.

resultsThe results revealed GAD3 "Excessive worry" and PHQ2 "Sad mood" were the most significant central symptoms in all subgroups, while "Sad mood" had higher strength than "Excessive worry" in the lower age group. In the network comparisons, the female network exhibited tighter connectivity, especially on GAD6 "Irritability" and GAD2 "Uncontrollable worry", while only PHQ3 "Sleep" and PHQ9 "Suicidal ideation" had differences at the local level in the lower age group.

conclusionSeveral interventions targeting excessive worry and sad mood could reduce the risk of depression and anxiety symptoms in the AIS population. Furthermore, specific anxiety symptoms in females, along with sleep disturbances and suicidal ideation in the lower age group, should be addressed at an early stage to prevent significant disruptions in mental health trajectories.

Indexed as

Adolescent idiopathic scoliosisAge differenceDepression and anxiety symptomsNetwork analysisSex difference

Identifiers

PMID40110004
PMCPMC11886344

What Socratic holds

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Registered trials

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 Socratic graph.