Evidence map›Paper›PMID 37108028›Full record

ArticleHealthcare (Basel, Switzerland)2023

The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points.

Eriko Shinohara, Ayako Hada, Mariko Minatani, Mikiyo Wakamatsu, Toshinori Kitamura

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. 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

5 authors at 4 institutions in 1 country.

Eriko ShinoharaDepartment of Nursing, School of Medicine, Yokohama City University, Yokohama 236-0004, Japan.ORCID 0000-0002-1309-9295
Ayako HadaKitamura Institute of Mental Health Tokyo, Tokyo 151-0063, Japan.ORCID 0000-0002-2835-8456
Mariko MinataniLife Value Creation Unit, NTT DATA Institute of Management Consulting, Inc., Tokyo 102-0093, Japan.
Mikiyo WakamatsuDepartment of Reproductive Health Care Nursing, Kagoshima University Faculty of Medicine School of Health Sciences, Kagoshima 890-8544, Japan.
Toshinori KitamuraKitamura Institute of Mental Health Tokyo, Tokyo 151-0063, Japan.
Kagoshima University · JPKurihama Medical and Addiction Center · JPNational Center of Neurology and Psychiatry · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insomnia is associated with adverse outcomes in women in the perinatal period; thus, the assessment of insomnia is important for pregnant women. The Insomnia Severity Index (ISI) is an instrument used globally to assess the severity of insomnia. However, its factor structure and structural invariance for pregnant women have not been studied. Therefore, we aimed to conduct factor analyses to search for the best model to fit its structural invariance. A cross-sectional study with the ISI was conducted at one hospital and five clinics in Japan from January 2017 to May 2019. A set of questionnaires was administered on two occasions with a one-week interval. The study included 382 pregnant women ranging in gestational age from 10 to 13 weeks. One week later, 129 participants answered the retest. After exploratory and confirmatory factor analyses, the measurement and structural invariance between parity and two time points was tested. The two-factor structure model showed an acceptable fit for the ISI in pregnant women (

Indexed as

factor structureinsomnia severity indexmeasurement and structural invarianceparitypregnancypregnant women

Identifiers

PMID37108028
PMCPMC10138570
OpenAlexW4366770817

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.