著者
Shun Yasuda Kanako Okazaki Hironori Nakano Kayoko Ishii Hyo Kyozuka Tsuyoshi Murata Keiya Fujimori Aya Goto Seiji Yasumura Misao Ota Kenichi Hata Kohta Suzuki Akihito Nakai Tetsuya Ohira Hitoshi Ohto Kenji Kamiya
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
vol.32, no.Supplement_XII, pp.S104-S114, 2022-12-05 (Released:2022-12-05)
参考文献数
51
被引用文献数
4

Background: This study aimed to investigate the effects of maternal exposure to external radiation on perinatal outcomes among women who experienced the Fukushima Daiichi Nuclear Disaster (FDND) using the Fukushima Health Management Survey (FHMS).Methods: Data from the Pregnancy and Birth Survey and Basic Survey in the FHMS were combined to analyze external maternal radiation exposure following the FDND, and the relationship between radiation dose and perinatal outcomes was analyzed using binomial logistic regression analysis. Missing dose data were supplemented using multiple imputation.Results: A total of 6,875 individuals responded to the survey. Congenital anomalies occurred in 2.9% of patients, low birth weight (LBW) in 7.6%, small for gestation age (SGA; <10th percentile) in 8.9%, and preterm birth in 4.1%. The median maternal external radiation dose was 0.5 mSv (maximum, 5.2 mSv). Doses were classified as follows: <1 mSv (reference), 1 to <2 mSv, and ≥2 mSv. For congenital anomalies, the crude odds ratio for 1 to <2 mSv was 0.81 (95% confidence interval [CI], 0.56–1.17) (no participants with congenital anomaly were exposed to ≥2 mSv). At 1 to <2 mSv and ≥2 mSv, the respective adjusted odds ratios were 0.91 (95% CI, 0.71–1.18) and 1.21 (95% CI, 0.53–2.79) for LBW, 1.14 (95% CI, 0.92–1.42) and 0.84 (95% CI, 0.30–2.37) for SGA, and 0.91 (95% CI, 0.65–1.29) and 1.05 (95% CI, 0.22–4.87) for preterm birth.Conclusion: External radiation dose due to the FDND was not associated with congenital anomalies, LBW, SGA, or preterm birth.
著者
Sorn Jarukasemratana Tsuyoshi Murata
出版者
Information and Media Technologies Editorial Board
雑誌
Information and Media Technologies (ISSN:18810896)
巻号頁・発行日
vol.8, no.4, pp.944-960, 2013 (Released:2013-12-15)
参考文献数
50

Large graph visualization tools are important instruments for researchers to understand large graph data sets. Currently there are many tools available for download and use under free license, others in research papers or journals, each with its own functionalities and capabilities. This review focuses on giving an introduction to those large graph visualization tools and emphasizes their advantages over other tools. Criteria for selection of the tools being reviewed are it was recently published (2009 or later), or a new version was released during the last two years. The tools being reviewed in this paper are igraph, Gephi, Cytoscape, Tulip, WiGis, CGV, VisANT, Pajek, In Situ Framework, Honeycomb and two visualization toolkits which are JavaScript InfoVis Toolkit and GraphGL. The last part of the review presents our suggestion on building large graph visualization platform based on advantages of tools and toolkits that are being reviewed.
著者
Koichi Hashimoto Hajime Maeda Hajime Iwasa Hyo Kyozuka Ryo Maeda Yohei Kume Takashi Ono Mina Chishiki Akiko Sato Yuka Ogata Tsuyoshi Murata Keiya Fujimori Kosei Shinoki Hidekazu Nishigori Seiji Yasumura Mitsuaki Hosoya the Japan Environment and Children’s Study (JECS) Group
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
vol.33, no.10, pp.489-497, 2023-10-05 (Released:2023-10-05)
参考文献数
49
被引用文献数
1

Background: Tobacco exposure during pregnancy is associated with several adverse outcomes in infants. We investigated the association between tobacco exposure during pregnancy (both active and second-hand) and various infections in infants up to 1 year.Methods: This prospective cohort study used a fixed dataset (jecs-an-20180131) from the Japan Environment and Children’s Study of registered births in Japan during 2011–2014 that included 104,065 fetal records from enrolled pregnant women. Based on the participants’ responses to the questionnaire on smoking status, mothers were first divided into “never smoked,” “quit smoking,” and “current smoker” groups and then into “no second-hand smoking (SHS)” and “SHS” groups. Infectious diseases included central nervous system infection, otitis media (OM), upper respiratory tract infection (URTI), lower respiratory tract infection (LRTI), gastroenteritis (GI), and urinary tract infection. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated using logistic regression analysis and adjusted for maternal, socioeconomic, and postnatal confounding factors.Results: Among the 73,205 newborns enrolled, multivariable analysis revealed that the aOR of LRTI and GI was 1.20 (95% CI, 1.07–1.33) and 1.18 (95% CI, 1.04–1.35), respectively, for the “current smoker with/without SHS” group compared with the “never smoked without SHS” group. “Quit smoking without SHS” was not associated with the risk of LRTI. SHS was associated with an increased risk of OM, URTI, LRTI, and GI, especially with LRTI and GI.Conclusion: Exposure to tobacco smoke during pregnancy was associated with an increased risk of OM, URTI, LRTI, and GI in infants during their first year of life.
著者
Hyo Kyozuka Tsuyoshi Murata Shun Yasuda Kayoko Ishii Keiya Fujimori Aya Goto Seiji Yasumura Misao Ota Kenichi Hata Kohta Suzuki Akihito Nakai Tetsuya Ohira Hitoshi Ohto Kenji Kamiya
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
vol.32, no.Supplement_XII, pp.S57-S63, 2022-12-05 (Released:2022-12-05)
参考文献数
42
被引用文献数
5

There are limited studies on the long-term effects of natural/environmental disasters, especially nuclear disasters, on obstetric outcomes. This study aimed to review the results of perinatal outcomes immediately after the Great East Japan Earthquake (GEJE) and the Fukushima Daiichi Nuclear Power Plant accident, as well as their long-term trends over 8 years, in the Fukushima Health Management Survey. The annual population-based Pregnancy and Birth Survey is conducted as part of the Fukushima Health Management Survey. The Fukushima Prefecture government launched it to assess the health conditions of pregnant women and their neonates after the GEJE. The self-reported questionnaire was sent to 115,976 pregnant women by mail from January 2012, with 58,344 women responding to the questionnaire (50.3% response rate). Pregnancy complications, such as gestational hypertension, respiratory diseases, and mental disorders, increased in some women who were pregnant at the time of the earthquake and immediately after the earthquake. However, the direct effects on newborns, such as preterm birth, low birth weight, and congenital anomalies, were not immediately clear after the earthquake. Although there were significant differences in the occurrence of preterm birth and low birth weight among the districts, there was no change in the occurrences of preterm birth, low birth weight, or anomalies in newborns in Fukushima Prefecture from the fiscal year 2011 to the fiscal year 2018. Therefore, the long-term effects of the post-disaster radiation accident on perinatal outcomes are considered to be very small.