Evidence map›Paper›PMID 34797464›Full record

ArticleChild psychiatry and human development2023

Anxiety and Depression Symptoms in Spanish Children and Adolescents: An Exploration of Comorbidity from the Network Perspective.

Milagros Ocalin Sánchez Hernández, Miguel A Carrasco, Francisco Pablo Holgado-Tello

Abstract read
In one paragraph

Article in Child psychiatry and human development, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Relations among daily symptoms of depression.British journal of psychology (London, England : 1953) · 2026
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  16. Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University students.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
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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

3 authors.

Milagros Ocalin Sánchez HernándezDepartment of Psychology, National Autonomous University of Nicaragua, León, Nicaragua.ORCID http://orcid.org/0000-0002-2582-0879
Miguel A CarrascoDepartment of Personality Psychology, Evaluation and Psychological Treatment, National University of Distance Education (UNED), Madrid, Spain.
Francisco Pablo Holgado-TelloDepartment Methodology of Behavioral Sciences, National University of Distance Education (UNED), Madrid, Spain. pfholgado@psi.uned.es.ORCID http://orcid.org/0000-0003-0769-5901

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of depression and anxiety is among the most prevalent comorbidities of disorders leading to substantial functional impairment in children and adolescents. The network perspective offers a new paradigm for understanding and measuring psychological constructs and their comorbidity. The present study aims to apply network analysis to explore the comorbidity between depression and anxiety symptoms. Specifically, the study examines bridge symptoms, comorbidity, and shortest pathway networks and estimates the impact of the symptoms in the network's connectivity and structure. The findings show that "feeling lonely" and "feeling unloved" are identified as the most central bridge symptoms. The shortest path network suggests that the role of a mixed anxiety-depressive symptomatology, and specific and non-specific symptoms of clinical criteria, such as "worries," "feels depressed," "fears school," and "talks about suicide" could serve as a warning for comorbidity.

Indexed as

DepressionSuicideAdolescentAnxietyAnxiety DisordersChildComorbidityHumansAnxietyChildrenComorbidityDepressionNetwork analysis

Identifiers

PMID34797464
PMCPMC10140092

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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.