Evidence map›Paper›PMID 39536042›Full record

ArticlePloS one2024

The impact of maternal prenatal psychological distress on the development of epilepsy in offspring: The Japan Environment and Children's Study.

Yuto Arai, Tohru Okanishi, Toshio Masumoto, Hisashi Noma, Yoshihiro Maegaki, Japan Environment and Children’s Study Group

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Yuto AraiFaculty of Medicine, Department of Brain and Neurosciences, Division of Child Neurology, Tottori University, Yonago, Japan.
Tohru OkanishiFaculty of Medicine, Department of Brain and Neurosciences, Division of Child Neurology, Tottori University, Yonago, Japan.ORCID https://orcid.org/0000-0003-3295-2236
Toshio MasumotoFaculty of Medicine, Department of Social Medicine, Division of Health Administration and Promotion, Tottori University, Yonago, Japan.
Hisashi NomaDepartment of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2520-9949
Yoshihiro MaegakiFaculty of Medicine, Department of Brain and Neurosciences, Division of Child Neurology, Tottori University, Yonago, Japan.
Japan Environment and Children’s Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between maternal prenatal psychological distress and epilepsy development in offspring has not yet been clarified. Herein, we used a dataset obtained from the Japan Environment and Children's Study, a nationwide birth cohort study, to evaluate the association between six-item Kessler Psychological Distress Scale (K6) scores and epilepsy among 1-3 years old. The data of 97,484 children were retrospectively analyzed. The K6 was administered to women twice: during the first half (M-T1) and second half (M-T2) of pregnancy. M-T1 ranged from 12.3-18.9 (median 15.1) weeks, and M-T2 ranged from 25.3-30.1 (median 27.4) weeks. Participants were divided into six groups based on K6 scores of two ranges (≤4 and ≥5) at M-T1 and M-T2. The numbers of children diagnosed with epilepsy at the ages of 1, 2, and 3 years were 89 (0.1%), 129 (0.2%), and 149 (0.2%), respectively. A maternal K6 score of ≥5 at both M-T1 and M-T2 was associated with epilepsy diagnosis ratios among 1-, 2-, and 3-year-old children in the univariate analysis. Moreover, multivariate analysis revealed that a maternal K6 score of ≥5 at both M-T1 and M-T2 was associated with epilepsy diagnosis ratios among 1-, 2-, and 3-year-olds. Continuous moderate-level maternal psychological distress from the first to the second half of pregnancy is associated with epilepsy among 1-, 2-, and 3-year-old children. Hence, environmental adjustments to promote relaxation such as mindfulness in pregnant women might be necessary.

Indexed as

EpilepsyPrenatal Exposure Delayed EffectsPsychological DistressAdultChild, PreschoolFemaleHumansInfantJapanMaleMothersPregnancyRetrospective StudiesStress, Psychological

Identifiers

PMID39536042
PMCPMC11560057

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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.