Evidence map›Paper›PMID 35777875›Full record

ArticleBMJ open2022

Predictors of non-response to successive waves of surveys in the Japan Environment and Children's Study during the 3-year postpartum period: a longitudinal cohort study.

Mika Kigawa, Akiko Tsuchida, Kenta Matsumura, Haruka Kasamatsu, Tomomi Tanaka, Kei Hamazaki, Yuichi Adachi, Hidekuni Inadera, Japan Environment and Children’s Study (JECS) Group

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. 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

9 authors.

Mika KigawaGraduate Course of Health and Social Services, Kanagawa University of Human Services Graduate School, Yokosuka, Kanagawa, Japan kigawa-c5s@kuhs.ac.jp.ORCID 0000-0002-8131-5682
Akiko TsuchidaDepartment of Public Health, University of Toyama Faculty of Medicine Graduate School of Medicine and Pharmaceutical Science for Education, Toyama, Toyama, Japan.ORCID 0000-0003-1209-3104
Kenta MatsumuraDepartment of Public Health, University of Toyama Faculty of Medicine Graduate School of Medicine and Pharmaceutical Science for Education, Toyama, Toyama, Japan.ORCID 0000-0002-4271-1543
Haruka KasamatsuToyama Regional Center for Japan Environment and Children's Study, University of Toyama Faculty of Medicine Graduate School of Medicine and Pharmaceutical Science for Education, Toyama, Toyama, Japan.
Tomomi TanakaToyama Regional Center for Japan Environment and Children's Study, University of Toyama Faculty of Medicine Graduate School of Medicine and Pharmaceutical Science for Education, Toyama, Toyama, Japan.
Kei HamazakiDepartment of Public Health, Gunma University Graduate School of Medicine School of Medicine Faculty of Medicine, Maebashi, Gunma, Japan.
Yuichi AdachiDepartment of Pediatrics, University of Toyama Faculty of Medicine Graduate School of Medicine and Pharmaceutical Science for Education, Toyama, Toyama, Japan.ORCID 0000-0001-6523-640X
Hidekuni InaderaDepartment of Public Health, University of Toyama Faculty of Medicine Graduate School of Medicine and Pharmaceutical Science for Education, Toyama, Toyama, Japan.
Japan Environment and Children’s Study (JECS) Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe examined changes in factors related to non-response to successive waves of the nationwide birth cohort study, the Japan Environment and Children's Study (JECS), during the first 3 years after childbirth.

designLongitudinal cohort study.

settingAs the baseline survey, mothers completed self-administered questionnaires distributed by hand during pregnancy or 1 month after delivery. The self-administered questionnaires that we used in this study were then distributed by mail every 6 months until the children were 3 years old, for a total of six times.

participantsOf 103 060 mothers who consented to participate in the JECS during pregnancy, 88 489 mothers were included in the study after excluding those with multiple births, miscarriages or stillbirths and those who withdrew from the study within 3 years after providing informed consent. PRIMARY AND SECONDARY OUTCOME MEASURES: Data were collected at the baseline survey on participants' socioeconomic status, medical history, health status, health-related behaviours and their children's health conditions and living situations. The strength of the impact of related factors and the prediction of response status were examined and compared using binominal logistic regression analysis.

resultsFor all six follow-up questionnaire surveys, higher maternal age was strongly associated with providing a response. Factors that were strongly associated with mothers not providing a response were smoking after childbirth and having more children. The concordance rate of response status based on the presented model was about 70%, suggesting that the response status for the first 3 years after birth can be predicted from the information collected in the baseline survey.

conclusionBy identifying predictors of non-response from information obtained in baseline surveys, researchers may be able to reduce non-response to successive survey waves by issuing reminders, reviewing data collection methods and providing appropriate financial and/or non-financial incentives.

Indexed as

Postpartum PeriodChildChild, PreschoolCohort StudiesFemaleHumansJapanLongitudinal StudiesPregnancySurveys and QuestionnairesEPIDEMIOLOGYPUBLIC HEALTHSTATISTICS & RESEARCH METHODS

Identifiers

PMID35777875
PMCPMC9252206

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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.