1. Organization for Economic Co-operation and Development (OECD). Special focus: measuring leisure in OECD countries 19.
https://www.oecd.org/berlin/42675407.pdf (2009).
2. Statistics Bureau, Ministry of Internal Affairs and Communications, Japan. Survey on time use and leisure activities in 2016: summary of results (QuestionnaireA) time use. https://www.stat.go.jp/english/data/shakai/2016/pdf/timeuse-a2016.pdf (2016).
3. Ministry of Health, Labour and Welfare, Japan. Vital Statistics of Japan 2017. https://www.mhlw.go.jp/english/database/db-hw/
dl/81-1a2en.pdf (2017).
4. Ministry of Education, Culture, Sports, Science and Technology, Japan. Number of students taking special classes in 2014 (in
Japanese). https://www.mext.go.jp/a_menu/shotou/tokubetu/material/__icsFiles/afieldfile/2015/03/27/1356210.pdf (2015)
5. Warland, J., Dorrian, J., Morrison, J. L. & O’Brien, L. M. Maternal sleep during pregnancy and poor fetal outcomes: a scoping
review of the literature with meta-analysis. Sleep Med. Rev. 41, 197–219. https://doi.org/10.1016/j.smrv.2018.03.004 (2018).
6. Brown, N. T., Turner, J. M. & Kumar, S. The intrapartum and perinatal risks of sleep-disordered breathing in pregnancy: a systematic
review and metaanalysis. Am. J. Obstet. Gynecol. 219(2), 147-161.e1. https://doi.org/10.1016/j.ajog.2018.02.004 (2018).
7. Bassan, H. et al. The effect of maternal sleep-disordered breathing on the infant’s neurodevelopment. Am. J. Obstet. Gynecol. 212(5),
656.e1-656.e7. https://doi.org/10.1016/j.ajog.2015.01.001 (2015).
8. Sun, Y., Hons, B., Cistulli, P. A. & Hons, M. Childhood health and educational outcomes associated with maternal sleep apnea: a
population record-linkage study. Sleep 40(11), zsx158. https://doi.org/10.1093/sleep/zsx158 (2017).
9. Blair, L. M., Porter, K., Leblebicioglu, B. & Christian, L. M. Poor sleep quality and associated inflammation predict preterm birth:
heightened risk among African Americans. Sleep 38(8), 1259–1267. https://doi.org/10.5665/sleep.4904 (2015).
10. Okun, M. L., Luther, J. F., Wisniewski, S. R. & Wisner, K. L. Disturbed sleep and inflammatory cytokines in depressed and nondepressed pregnant women. Psychosom Med. 75(7), 670–681. https://doi.org/10.1097/psy.0b013e31829cc3e7 (2013).
11. Cappelletti, M., Della Bella, S., Ferrazzi, E., Divanovic, S. & Mavilio, D. Inflammation and preterm birth. J. Leukoc. Biol. 99(1),
67–78. https://doi.org/10.1189/jlb.3mr0615-272rr (2015).
12. Kwak-Kim, J. et al. Inflammation induced preterm labor and birth. J. Reprod. Immunol. 129, 53–58. https://doi.org/10.1016/j.
jri.2018.06.029 (2018).
13. Schobel, S. A. et al. Maternal immune activation and abnormal brain development across CNS disorders. Nat. Rev. Neurol. 10(11),
643–660. https://doi.org/10.1038/nrneurol.2014.187 (2014).
14. Estes, M. L. & McAllister, A. K. Maternal immune activation: implications for neuropsychiatric disorders. Science 353(6301),
772–777. https://doi.org/10.1126/science.aag3194 (2016).
15. Stewart, F. M., Freeman, D. J. & Ramsay, J. E. Longitudinal assessment of maternal endothelial function and markers of inflammation and placental function throughout pregnancy in lean and obese mothers. J. Clin. Endocrinol. Metab. 92, 969–975. https://
doi.org/10.1210/jc.2006-2083 (2007).
16. Christian, L. M. & Porter, K. Longitudinal changes in serum proinflammatory markers across pregnancy and postpartum: effects
of maternal body mass index. Cytokine 70, 134–140. https://doi.org/10.1016/j.cyto.2014.06.018 (2014).
17. McDade, T. W., Borja, J. B., Largado, F., Adair, L. S. & Kuzawa, C. W. Adiposity and chronic inflammation in young women predict
inflammation during normal pregnancy in the Philippines. J. Nutr. 146(2), 353–357. https: //doi.org/10.3945/jn.115.224279 (2016).
18. Karmel, B. Z. et al. Early medical and behavioral characteristics of NICU infants later classified with ASD. Pediatrics 126(3),
457–467. https://doi.org/10.1542/peds.2009-2680 (2010).
19. Saenz, J., Yaugher, A. & Alexander, G. M. Sleep in infancy predicts gender specific social-emotional problems in toddlers. Front.
Pediatr. 3, 1–6. https://doi.org/10.3389/fped.2015.00042 (2015).
20. Straub, H., Adams, M., Kim, J. J. & Silver, R. K. Antenatal depressive symptoms increase the likelihood of preterm birth. Am. J.
Obstet. Gynecol. 207(4), 329.e1-329.e4. https://doi.org/10.1016/j.ajog.2012.06.033 (2012).
21. Pamidi, S. & Kimoff, R. J. Maternal sleep-disordered breathing. Chest 153(4), 1052–1066. https: //doi.org/10.1016/j.chest. 2017.10.011
(2018).
Scientific Reports |
Vol:.(1234567890)
(2020) 10:11084 |
https://doi.org/10.1038/s41598-020-67852-3
12
www.nature.com/scientificreports/
22. Chong, Y.-S. et al. Associations between poor subjective prenatal sleep quality and postnatal depression and anxiety symptoms. J.
Affect. Disord. 202, 91–94. https://doi.org/10.1016/j.jad.2016.05.028 (2016).
23. Blencowe, H. et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since
1990 for selected countries: a systematic analysis and implications. Lancet 379(9832), 2162–2172. https://doi.org/10.1016/S0140
-6736(12)60820-4 (2012).
24. Purisch, S. E. & Gyamfi-Bannerman, C. Epidemiology of preterm birth. Semin. Perinatol. 41(7), 387–391. https: //doi.org/10.1053/j.
semperi.2017.07.009 (2017).
25. Moe, V., von Soest, T., Fredriksen, E., Olafsen, K. S. & Smith, L. The multiple determinants of maternal parenting stress 12 months
after birth: The contribution of antenatal attachment style, adverse childhood experiences, and infant temperament. Front. Psychol.
9, 1987. https://doi.org/10.3389/fpsyg.2018.01987 (2018).
26. Britton, J. R. Infant temperament and maternal anxiety and depressed mood in the early postpartum period. Women Health. 51(1),
55–71. https://doi.org/10.1080/03630242.2011.540741 (2011).
27. Zahra, E. D. et al. Maternal child abuse and its association with maternal anxiety in the socio-cultural context of Iran. Oman Med.
J. 28(6), 404–409. https://doi.org/10.5001/omj.2013.116 (2013).
28. World Health Organization. Preconception care policy brief (1). 1–8. doi:10.1016/S1002-0721(09)60023-5 (2013).
29. Huang, E. et al. Maternal prenatal depression predicts infant negative affect via maternal inflammatory cytokine levels. Brain Behav.
Immun. 73, 470–481. https://doi.org/10.1016/j.bbi.2018.06.011 (2018).
30. van der Burg, J. W. et al. The role of systemic inflammation linking maternal BMI to neurodevelopment in children. Pediatr. Res.
79(1), 3–12. https://doi.org/10.1038/pr.2015.179 (2016).
31. Chu, S. Maternal obesity and risk of preterm delivery. JAMA 309(22), 2362–2370. https://doi.org/10.1001/jama.2013.6295 (2013).
32. Kawamoto, T. et al. Rationale and study design of the Japan environment and children’s study (JECS). BMC Public Health https://
doi.org/10.1186/1471-2458-14-25 (2014).
33. Michikawa, T. et al. Baseline profile of participants in the Japan Environment and Children’s Study (JECS). J. Epidemiol. 28(2),
99–104. https://doi.org/10.2188/jea.JE20170018 (2018).
34. Figueiredo, B., Dias, C. C., Pinto, T. M. & Field, T. Infant sleep-wake behaviors at two weeks, three and six months. Infant. Behav.
Dev. 44, 169–178. https://doi.org/10.1016/j.infbeh.2016.06.011 (2016).
35. Morokuma, S. et al. Non-reassuring foetal status and neonatal irritability in the Japan Environment and Children’s Study: a cohort
study. Sci. Rep. 8(1), 15853. https://doi.org/10.1038/s41598-018-34231-y (2018).
36. Cox, J. L., Holden, J. M. & Sagovsky, R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal
Depression Scale. Br. J. Psychiatry 150, 782–786 (1987).
37. Yamashita, H. & Yoshida, K. Screening and intervention for depressive mothers of new-born infants. Seishin Shinkeigaku Zasshi.
105(9), 1129–1135 (2003).
38. Guangyong, Z. A modified poisson regression approach to prospective studies with binary data. Am. J. Epidemiol. 159, 702–706.
https://doi.org/10.1093/aje/kwh090 (2004).
Acknowledgements
We would like to express our gratitude to all the participants in this study and all the individuals involved in data
collection. The Japan Environment and Children’s Study was funded by the Ministry of the Environment, Japan.
The findings and conclusions of this article are solely the responsibility of the authors and do not represent the
official views of the Ministry of the Environment.
Author contributions
Study concept and design: S.M. Statistical analyses: T.M. Drafting of the manuscript and approval of the final
content: K.N., S.M. and T.M. Critical revision of the manuscript for important intellectual content: all authors.
Manuscript review: all authors.
Competing interests The authors declare no competing interests.
Additional information
Supplementary information is available for this paper at https://doi.org/10.1038/s41598-020-67852-3.
Correspondence and requests for materials should be addressed to S.M.
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Consortia
The Japan Environment and Children’s Study Group
Michihiro Kamijima10, Shin Yamazaki11, Yukihiro Ohya12, Reiko Kishi13, Nobuo Yaegashi14,
Koichi Hashimoto15, Chisato Mori16, Shuichi Ito17, Zentaro Yamagata18, Hidekuni Inadera19,
Takeo Nakayama20, Hiroyasu Iso21, Masayuki Shima22, Youichi Kurozawa23, Narufumi
Suganuma24 & Takahiko Katoh25
10
Nagoya City University, 1 Kawasumi, Mizuho‑cho, Mizuho‑ku, Nagoya, Aichi 467‑8601, Japan. 11National Institute
for Environmental Studies, 16‑2 Onogawa, Tsukuba 305‑8506, Japan. 12National Center for Child Health and
Development, 2‑10‑1 Okura, Setagaya‑ku, Tokyo 157‑8535, Japan. 13Hokkaido University, Kita 8, Nishi 5, Kita‑ku,
Sapporo, Hokkaido 060‑0808, Japan. 14Tohoku University, 2‑1 Senryo‑machi, Aoba‑ku, Sendai, Miyagi 980‑8575,
Japan. 15Fukushima Medical University, 1 Hikariga‑oka, Fukushima‑shi, Fukushima 960‑1295, Japan. 16Chiba
University, 1‑33 Yayoicho, Inage Ward, Chiba‑shi, Chiba 263‑8522, Japan. 17Yokohama City University, 3‑9 Fukuura,
Kanazawa‑ku, Yokohama, Kanagawa 236‑0027, Japan. 18University of Yamanashi, 1110 Shimokato, Chuo,
Yamanashi 409‑3898, Japan. 19University of Toyama, 2630 Sugitani, Toyama‑shi, Toyama 930‑0194, Japan. 20Kyoto
University, Yoshida‑honmachi, Sakyo‑ku, Kyoto 606‑8501, Japan. 21Osaka University, 1‑1 Yamadaoka, Suita,
Osaka 565‑0871, Japan. 22Hyogo College of Medicine, 1‑1 Mukogawa, Nishinomiya, Hyogo 663‑8501, Japan.
23
Tottori University, 86 Nishi‑cho, Yonago, Tottori 683‑8503, Japan. 24Kochi University, Okochokohasu, Nankoku,
Kochi 783‑8505, Japan. 25Kumamoto University, 1‑1‑1 Honjo, Chuo‑ku, Kumamoto 860‑8556, Japan.
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