Evidence map›Paper›PMID 37058269›Full record

ArticleThe Psychiatric quarterly2023

To Leave is to Die a Little: Assessing the Symptom Structure of Separation Anxiety Disorder in Left-Behind Emerging Adults.

Imelu G Mordeno, I Marie Joy S Gallemit, Dame Lent L Dinding

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Article in The Psychiatric quarterly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Imelu G MordenoDepartment of Professional Education, Mindanao State University, Iligan Institute of Technology, Iligan City, Philippines. imelumordeno@gmail.com.ORCID 0000-0003-4579-6391
I Marie Joy S GallemitSchool of Graduate Studies, College of Education, Mindanao State University, Iligan Institute of Technology, Iligan City, Philippines.
Dame Lent L DindingDepartment of Psychology, Mindanao State University, Marawi City, Philippines.
Mindanao State University – Iligan Institute of Technology · PHMindanao State University · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The literature on separation anxiety disorder (SAD) presented two contentious issues relating to its assessment. First, studies are scarce in assessing the symptom structure of DSM-5 SAD among the adult population. Second, the accuracy in assessing the severity of SAD through measuring the intensity of disturbance and the frequency of occurrence of symptoms is yet to be studied. To address these limitations, the present study aimed to: (1) examine the latent factor structure of the newly developed separation anxiety disorder symptom severity inventory (SADSSI); (2) evaluate the necessity of using frequency or intensity formats through comparison of differences in the latent level; and (3) investigate SAD latent class analysis. Utilizing 425 left-behind emerging adults (LBA), the findings showed that a general factor with two dimensions (i.e., response formats) measuring frequency and intensity symptom severity separately has excellent fit and good reliability. Finally, the latent class analysis yielded a three-class solution best fitting to the data. Overall, the data provided evidence for the psychometric soundness of SADSSI as an assessment tool for separation anxiety symptoms among LBA.

Indexed as

Anxiety, SeparationAdultDiagnostic and Statistical Manual of Mental DisordersFactor Analysis, StatisticalHumansPsychometricsReproducibility of ResultsFactor StructureLatent Class AnalysisLeft-behind Emerging AdultsMeasurement InvarianceSeparation Anxiety Disorder

Identifiers

PMID37058269
OpenAlexW4365483407

What OpenQuestion holds

Textmetadata
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.