Dataset Information

Time course of metabolic status in pregnant women: The Japan Environment and Children's Study.

ABSTRACT: AIMS/INTRODUCTION:We aimed to evaluate the metabolic status of pregnant women by assessing metabolic biomarkers of participants in the Japan Environment and Children's Study, a nationwide, multicenter, pregnancy and birth cohort. MATERIALS AND METHODS:Pregnant women aged 14-50 years were studied in 15 centers across Japan. Clinical information was obtained using self-administered questionnaires. Blood samples were taken during the first two trimesters to measure metabolic biomarkers. Samples were divided into seven groups according to the weeks of pregnancy. RESULTS:Among 82,972 pregnant women, 43 had only type 1 diabetes, 78 had only type 2 diabetes, 2,315 had only gestational diabetes and 354 had only dyslipidemia. Glycated hemoglobin, total cholesterol, low-density lipoprotein cholesterol and triglyceride across all the percentiles increased as prepregnancy body mass index increased, whereas high-density lipoprotein cholesterol levels across all the percentiles decreased as body mass index increased. Glycated hemoglobin was high in participants with type 1 diabetes or type 2 diabetes only, but not in those with gestational diabetes or hyperlipidemia only. Participants with type 2 diabetes or dyslipidemia only had high triglyceride in the first trimester, which then decreased in the second trimester. Participants with type 2 diabetes only also showed low high-density lipoprotein cholesterol, whereas participants with dyslipidemia only showed high total cholesterol and low-density lipoprotein cholesterol throughout. CONCLUSIONS:Metabolic biomarkers were affected by blood sample timing and underlying metabolic disease. The Japan Environment and Children's Study will clarify the influences of metabolic status during pregnancy on the health and development of the offspring in future studies.

SUBMITTER: Sasaki H

PROVIDER: S-EPMC7477532 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Time course of metabolic status in pregnant women: The Japan Environment and Children's Study.

Sasaki Hatoko H Arata Naoko N Tomotaki Ai A Yamamoto-Hanada Kiwako K Mezawa Hidetoshi H Konishi Mizuho M Ishitsuka Kazue K Saito-Abe Mayako M Sato Miori M Nishizato Minaho M Saito Hirohisa H Ohya Yukihiro Y

Journal of diabetes investigation 20200325 5

<h4>Aims/introduction</h4>We aimed to evaluate the metabolic status of pregnant women by assessing metabolic biomarkers of participants in the Japan Environment and Children's Study, a nationwide, multicenter, pregnancy and birth cohort.<h4>Materials and methods</h4>Pregnant women aged 14-50 years were studied in 15 centers across Japan. Clinical information was obtained using self-administered questionnaires. Blood samples were taken during the first two trimesters to measure metabolic biomarke ...[more]

PMID: 32083793

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Project description: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.

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

Time course of metabolic status in pregnant women: The Japan Environment and Children's Study.

Publications

Time course of metabolic status in pregnant women: The Japan Environment and Children's Study.

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