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

ABSTRACT: OBJECTIVES:Non-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. DESIGN:This was a questionnaire-based, longitudinal cohort study. SETTING:Questionnaires 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. PARTICIPANTS:Data 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. RESULTS:Response 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). CONCLUSIONS:The 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.

SUBMITTER: Kigawa M

PROVIDER: S-EPMC6597650 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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

Kigawa Mika M Tsuchida Akiko A Miura Kayoko K Ito Mika M Tanaka Tomomi T Hamazaki Kei K Adachi Yuichi Y Saito Shigeru S Origasa Hideki H Inadera Hidekuni H

BMJ open 20190627 6

<h4>Objectives</h4>Non-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.<h4>Design</h4>This was a questionnaire-based, longitudinal cohort study.<h4>Setting</h4>Questionnaires were provided by research coordinators to mothers at prenatal examinations (at ob ...[more]

PMID: 31248916

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Project description:BackgroundPrevious studies revealed positive, negative, and no influence of social capital on the health outcomes of pregnant women. It was considered that such differences were caused by the disparities of outcome measures and sample sizes between studies. Our chief aim was to verify the positive influence of social capital on the health condition of pregnant women using established health outcome measures and large-scale nationwide survey data.MethodsWe employed questionnaire survey data from 79,210 respondents to the Japan Environment and Children's Study, and physical and mental component summary scores from the 8-Item Short-Form Health Survey as outcome measures. We estimated the effect of individual and neighborhood social capitals on physical and mental component summary scores. To consider the property that the richness of social capital would be generally determined by individual characteristics, and to estimate the causal influence of social capital on health without bias caused by said property, we adopted average treatment effect estimation with inverse probability weighting. Generally, average treatment effects are based on the difference of average outcomes between treated and untreated groups in an intervention. In this research, we reckoned individuals' different levels of social capital as a kind of non-randomized treatment for respective individuals, and we applied average treatment effect estimation. The analysis regarded pregnant women with the lowest level of social capital as untreated samples and women with other levels of social capitals as treated samples.ResultsFor mental component summary score, the maximum average treatment effects in the comparison between the lowest and highest levels of social capital were approximately 4.4 and 1.6 for individual and neighborhood social capital, respectively. The average treatment effects for the physical component summary score were negligible for both social capital types.ConclusionsSocial capital particularly contributes to improving mental component summary score in pregnant women. The likelihood of a mentally healthy pregnancy may be increased by enhancing social capital.

Dataset Information

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

Publications

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

Similar Datasets

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