Evidence map›Paper›PMID 31248916›Full record

ArticleBMJ open2019

Analysis of non-respondent pregnant women who were registered in the Japan Environment and Children's Study: a longitudinal cohort study.

Mika Kigawa, Akiko Tsuchida, Kayoko Miura, Mika Ito, Tomomi Tanaka, Kei Hamazaki, Yuichi Adachi, Shigeru Saito, Hideki Origasa, Hidekuni Inadera and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. 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
2.1field-weighted citation impact, top 10% 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, 5 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Mika KigawaKanagawa University of Human Services, Yokosuka, Japan.ORCID 0000-0002-8131-5682
Akiko TsuchidaDepartment of Public Health, Faculty of Medicine, Graduate School of Medicine and Pharmaceutical Science for Education, University of Toyama, Toyama, Japan.
Kayoko MiuraKanazawa University Health Service Center, Kanazawa, Japan.
Mika ItoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Graduate School of Medicine and Pharmaceutical Science for Education, University of Toyama, Toyama, Japan.
Tomomi TanakaUniversity of Toyama, Toyama Regional Center for JECS, Toyama, Japan.
Kei HamazakiDepartment of Public Health, Faculty of Medicine, Graduate School of Medicine and Pharmaceutical Science for Education, University of Toyama, Toyama, Japan.
Yuichi AdachiDepartment of Pediatrics, Faculty of Medicine, Graduate School of Medicine and Pharmaceutical Science for Education, University of Toyama, Toyama, Japan.
Shigeru SaitoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Graduate School of Medicine and Pharmaceutical Science for Education, University of Toyama, Toyama, Japan.
Hideki OrigasaDepartment of Biostatistics and Clinical Epidemiology, Faculty of Medicine, Graduate School of Medicine and Pharmaceutical Science for Education, University of Toyama, Toyama, Japan.
Hidekuni InaderaDepartment of Public Health, Faculty of Medicine, Graduate School of Medicine and Pharmaceutical Science for Education, University of Toyama, Toyama, Japan.
Japan Environment and Children’s Study (JECS)
University of Toyama · JPKanagawa University of Human Services · JPKanazawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNon-response to questionnaires in a longitudinal study reduces the effective sample size and introduces bias. We identified the characteristics of non-respondent pregnant women, and compared them with respondents in the Japan Environment and Children's Study (JECS) during the gestational period.

designThis was a questionnaire-based, longitudinal cohort study.

settingQuestionnaires were provided by research coordinators to mothers at prenatal examinations (at obstetrics clinics) or by mail. Mothers were measured twice: during the first trimester and during the second/third trimester.

participantsData were collected from the 10 129 participating mothers of the 10 288 children surveyed in the 2011 baseline JECS. We excluded responses from mothers who had a miscarriage or stillbirth; therefore, we analysed data from 9649 participants. PRIMARY AND SECONDARY OUTCOME MEASURES: Data concerning demographics, medical history, health characteristics, health-related behaviour and environmental exposure were collected via self-administered questionnaires. The response status of participants' partners and contact with their obstetrician were also examined. Multivariate logistic regression analysis was used to examine factors related to non-response.

resultsResponse was associated with living with one's mother-in-law (ORs: 0.47, 95% CIs: 0.24 to 0.85), positive participation of participants' partner (OR: 0.25, 95% CI: 0.17 to 0.35) and multiple visits to the obstetrician (OR: 0.02, 95% CI: 0.02 to 0.03). Participants who had a medical history of allergic rhinitis, had body pain or drank alcohol had higher odds of responding (ORs: 0.68, 0.96 and 0.36, 95% CIs: 0.48 to 0.95 and 0.95 to 0.98 and 0.16 to 0.72, respectively); those exposed to secondary smoke had lower odds of responding (OR: 1.59, 95% CI: 1.12 to 2.23).

conclusionsThe non-response rate decreased when participants reported health-related behaviour or characteristics. Obtaining the understanding of people around each participant might help increase response rates.

Indexed as

Child HealthSurveys and QuestionnairesAdultEnvironmental ExposureFemaleHumansJapanLongitudinal StudiesPatient ParticipationPregnancySampling Studiesbirth cohort studylongitudinal cohort studynon-responsepregnant women

Identifiers

PMID31248916
PMCPMC6597650
OpenAlexW2955547512

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.