Evidence map›Paper›PMID 38025415›Full record

ArticleFrontiers in psychiatry2023

The three-factor structure of the Autism-Spectrum Quotient Japanese version in pregnant women.

Ekachaeryanti Zain, Naoki Fukui, Yuichiro Watanabe, Koyo Hashijiri, Takaharu Motegi, Maki Ogawa, Jun Egawa, Koji Nishijima, Toshiyuki Someya

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 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
0.4field-weighted citation impact, top 41% 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, 2 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

9 authors at 2 institutions in 2 countries.

Ekachaeryanti ZainDepartment of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Naoki FukuiDepartment of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Yuichiro WatanabeDepartment of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Koyo HashijiriDepartment of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Takaharu MotegiDepartment of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Maki OgawaDepartment of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Jun EgawaDepartment of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Koji NishijimaDepartment of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Toshiyuki SomeyaDepartment of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Niigata University · JPMulawarman University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is a rising interest in perinatal mental health studies, and proper psychometric tools to assess autistic traits among this population in Japan are vital. Objective: This study aimed to clarify the optimal factor structure of the AQ as part of a perinatal mental health research project. Methods: We used the Japanese version of the AQ (AQ-J) to measure autistic-like traits in pregnant women. Participants were 4,287 Japanese women who were pregnant or who had given birth within the last month. We performed exploratory factor analysis (EFA) using the first sample group (n = 2,154) to obtain factor structures for the final item selections. We performed confirmatory factor analysis (CFA) using the second sample group (n = 2,133) to obtain a model with good fit, then compared the model to all previously proposed models to determine the best-fitting model. Results: The EFA analysis identified a model consisting of 25 items distributed across three factors. Cronbach's alpha for the total 25-item AQ-J, 9-item "Social interaction" factor, 11-item "Non-verbal communication" factor, and 5-item "Restricted interest" factor was 0.829, 0.829, 0.755, and 0.576, respectively. McDonald's omega and its 95% confidence interval were 0.826 (0.821-0.836), 0.835 (0.821-0.837), 0.755 (0.744-0.766), and 0.603 (0.556-0.596), respectively. CFA confirmed that the three-factor structure had an acceptable fit (goodness of fit index: 0.900, comparative fit index: 0.860, root mean square error of approximation: 0.066). These findings indicated that the three-factor model was better than the 13 existing models. Conclusion: The findings are discussed in relation to the adequacy of the AQ-J for assessing autistic traits in perinatal women. We recommend the use of this 25-item, three-factor AQ-J model for this population owing to its superiority to all previous models.

Indexed as

autism spectrum conditions (ASC)autism spectrum disorderAutism-Spectrum Quotient (AQ)factor analysisfactor structureperinatal women

Identifiers

PMID38025415
PMCPMC10644054
OpenAlexW4388046981

What OpenQuestion holds

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Registered trials

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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.