Abstract
Proximate determinants link both social and biological factors to fertility. In this section, we will summarize available data related to proximate determinants of fertility in Japan while referring to some of the related literature targeting populations overseas. In addition to data from published studies, we present our original data collected in the biodemography project, an Internet-based cross-sectional survey on reproductive history conducted in 2014 targeting Japanese women between 20 and 44 years of age. Following Wood’s conceptualization, the specific components of the proximate determinants of fertility referred to in this chapter are lactational infecundability, fecund waiting time to conception, and fetal loss (both spontaneous and induced). Additionally, papers on factors that are expected to significantly affect fecund waiting time to conception, i.e., frequency of sexual intercourse, length and regularity of menstrual cycle, and use of contraception and infertility treatment, will be reviewed.
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Notes
- 1.
Total number of participants in the biodemography project was n = 3196, among whom n = 1965 (61%) were married. Among the married women, n = 562 were nulliparous and currently not pregnant; among this smaller group, n = 235 were not using any contraception.
- 2.
For n = 89 women who reported that they had never used contraceptives, the right-censored TTP was defined as the duration between marriage and the time of the survey. For n = 146 women who reported that they had stopped using contraceptives, the right-censored TTP was defined as the duration between the cessation of contraceptive use and the time of survey.
- 3.
n = 23 did not report the month and year of marriage, and n = 95 did not report the month and year they discontinued contraception.
- 4.
Cycle length variation was calculated by taking the difference between the maximum and minimum lengths among 10 consecutive ovulatory cycles randomly selected from 65 subjects.
- 5.
Appendix shows the original survey questionnaire items used to measure cycle length and regularity.
- 6.
Infertility is defined as more than one year of having unprotected intercourse without pregnancy.
References
Konishi, Shoko, and Emi Tamaki. 2016. Pregnancy intention and contraceptive use among married and unmarried women in Japan. Japanese Journal of Health and Human Ecology 82: 110–124.
Slama, Rémy, Beatrice Ducot, Lisbeth Carstensen, Christine Lorente, Elise De La Rochebrochard, Henri Leridon, Niels Keiding, and Jean Bouyer. 2006. Feasibility of the current-duration approach to studying human fecundity. Epidemiology 17: 440–449.
Slama, R., O.K.H. Hansen, B. Ducot, A. Bohet, D. Sorensen, L. Giorgis Allemand, M.J.C. Eijkemans, et al. 2012. Estimation of the frequency of involuntary infertility on a nation-wide basis. Human Reproduction 27: 1489–1498.
Huybrechts, Krista F., Ellen M. Mikkelsen, Tina Christensen, Anders H. Riis, Elizabeth E. Hatch, Lauren A. Wise, Henrik Toft Sørensen, and Kenneth J. Rothman. 2010. A successful implementation of e-epidemiology: The Danish pregnancy planning study “Snart-Gravid”. European Journal of Epidemiology 25: 297–304.
Wise, Lauren A., Kenneth J. Rothman, Ellen M. Mikkelsen, Joseph B. Stanford, Amelia K. Wesselink, Craig McKinnon, Siobhan M. Gruschow, et al. 2015. Design and conduct of an Internet-based preconception cohort study in North America: Pregnancy Study Online. Paediatric and Perinatal Epidemiology 29: 360–371.
Hatch, Elizabeth E., Kristen A. Hahn, Lauren A. Wise, Ellen M. Mikkelsen, Ramya Kumar, Matthew P. Fox, Daniel R. Brooks, Anders H. Riis, Henrik Toft Sorensen, and Kenneth J. Rothman. 2016. Evaluation of selection bias in an Internet-based study of pregnancy planners. Epidemiology 27: 98–104.
Mita, Fusami. 1984. Methed of infant feeding and postpartum amenorrhea. (Nyuji no eiyo houho to sango no amenoria). Journal of Population Problems 169: 43–46. (in Japanese).
Smith, David P. 1985. Breastfeeding, contraception, and birth intervals in developing countries. Studies in Family Planning 16: 154–163.
Iwasawa, Miho, and Fusami Mita. 2007. Delayed childbeaing and the changing age composition of women who desire children (Bansanka to Kyojikibo josei jinkou no koreika). Journal of Population Problems 63: 24–41. (in Japanese).
Ministry of Health, Labour and Welfare. 2016. Brief report on the National Nutrition Survey on preschool children, 2015 (Heisei 27 nendo nyuyoji eiyo chosa kekka no gaiyo). (in Japanese).
Kono, Shigemi, and Yoshikazu Watanabe. 1983. Bio-demographic conditions of fertility: An analysis of the 1981 field survey of fertility. Journal of Population Problems 167: 1–17. (in Japanese).
Tsuya, Noriko. 2009. Why does Japanese population decrease? Women, low fertility, and singlehood (Naze wagakuni no jinko wa gensho surunoka –josei, shosika, mikonka. In Population decline and Japanese economy (Jinko gensho to nihon keizai), ed. Noriko Tsuya, and Yoshio Higuchi, 3–52. Tokyo: Nikkei Publishing Inc.
Inoue, Madoka, Colin W. Binns, Keiko Otsuka, Masamine Jimba, and Manami Matsubara. 2012. Infant feeding practices and breastfeeding duration in Japan: A review. International Breastfeeding Journal 7: 15. https://doi.org/10.1186/1746-4358-7-15.
Victora, Cesar G., Rajiv Bahl, Aluísio J.D. Barros, Giovanny V.A. França, Susan Horton, Julia Krasevec, Simon Murch, Mari Jeeva Sankar, Neff Walker, and Nigel C. Rollins. 2016. Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. The Lancet 387: 475–490.
Shinoda, Tadasu. 1939. Fecundability and infertility among Japanese women (Honpou fujin no ninnyouritsu tokuni funinsho ni tsuite). Chiryou oyobi shohou 20: 99–103. (in Japanese).
Arakawa, Chikako. 2005. Effect of environmental chemical exposure on fecundity through fish consumption: A study using time to pregnancy. Dissertation, The University of Tokyo.
Arakawa, Chikako, Jun Yoshinaga, Kunihiro Okamura, Kunihiko Nakai, and Hiroshi Satoh. 2006. Fish consumption and time to pregnancy in Japanese women. International Journal of Hygiene and Environmental Health 209: 337–344.
Juhl, M., A.M. Nyboe Andersen, M. Grønbaek, and J. Olsen. 2001. Moderate alcohol consumption and waiting time to pregnancy. Human Reproduction 16: 2705–2709.
Tuntiseranee, P., J. Olsen, V. Chongsuvivatwong, and S. Limbutara. 1998. Fecundity in Thai and European regions: Results based on waiting time to pregnancy. Human Reproduction 13: 471–477. (Oxford University Press).
Konishi, Shoko, Soyoko Sakata, Mari S. Oba, and Kathleen A. O’Connor. Age and time to pregnancy for the first child among couples in Japan. The Journal of Population Studies (in press).
Moriki, Yoshie, Kenji Hayashi, and Rikiya Matsukura. 2015. Sexless marriages in Japan: Prevalence and reasons. In Low fertility and reproductive health in East Asia, ed. Naohiro Ogawa, and Iqbal H. Shah, 161–186. Dordrecht: Springer.
Eisenberg, Michael L., Alan W. Shindel, James F. Smith, Benjamin N. Breyer, and Larry I. Lipshultz. 2010. Socioeconomic, anthropomorphic, and demographic predictors of adult sexual activity in the United States: Data from the National Survey of Family Growth. The Journal of Sexual Medicine 7: 50–58.
Hassan, Mohamed A.M., and Stephen R. Killick. 2004. Negative lifestyle is associated with a significant reduction in fecundity. Fertility and Sterility 81: 384–392.
Rothman, Kenneth J., Lauren A. Wise, Henrik T. Sørensen, Anders H. Riis, Ellen M. Mikkelsen, and Elizabeth E. Hatch. 2013. Volitional determinants and age-related decline in fecundability: A general population prospective cohort study in Denmark. Fertility and Sterility 99: 1958–1964.
Tsukamoto, Yutaka. 1955. Actual situation of sex life among married women in agricultural villages (Noson kikonfujin seiseikatsu no jittai). Sanfujinka no sekai 7: 57–64. (in Japanese).
Sato, Ryuzaburo, and Miho Iwasawa. 2015. The sexual behavior of adolescents and young adults in Japan. In Low fertility and reproductive health in East Asia, ed. Naohiro Ogawa, and Iqbal H. Shah, 137–159. Dordrecht: Springer.
Genda, Yuji, and Atsushi Kawakami. 2006. Employment bipolarization and sexual behavior (Shugyo nikyokuka to seikodo). Nihon rodo kenkyu zasshi 556: 80–91. (in Japanese).
Wise, Lauren A., Ellen M. Mikkelsen, Kenneth J. Rothman, Anders H. Riis, Henrik Toft Sørensen, Krista F. Huybrechts, and Elizabeth E. Hatch. 2011. A prospective cohort study of menstrual characteristics and time to pregnancy. American Journal of Epidemiology 174: 701–709.
Harlow, Siobán D. 2000. Menstruation and menstrual disorders. The epidemiology of menstruation and menstrual dysfunction. In Women and health, ed. M.B. Goldman, and M.C. Hatch, 99–113. San Diego, CA: Academic Press.
Small, Chanley M., Amita K. Manatunga, Mitchel Klein, Heather S. Feigelson, Celia E. Dominguez, Ruth McChesney, and Michele Marcus. 2006. Menstrual cycle characteristics: Associations with fertility and spontaneous abortion. Epidemiology 17: 52–60.
Mutsaerts, M.A.Q., H. Groen, H.G. Huiting, W.K.H. Kuchenbecker, P.J.J. Sauer, J.A. Land, R.P. Stolk, and A. Hoek. 2012. The influence of maternal and paternal factors on time to pregnancy—A Dutch population-based birth-cohort study: The GECKO Drenthe study. Human Reproduction 27: 583–593.
Japan Society of Obstetrics and Gynecology. 2013. Glossary of obstetrics and gynecology. Tokyo: Japan Society of Obstetrics and Gynecology.
Matsumoto, Seiichi, Yasuji Nogami, and Shigeo Ohkuri. 1962. Statistical studies on menstruation; a criticism on the definition of normal menstruation. Gunma Journal of Medical Sciences 11: 294–318.
Jensen, T.K., T. Scheike, and N. Keiding. 1999. Fecundability in relation to body mass and menstrual cycle patterns. Epidemiology 10: 422–428.
Wesselink, Amelia K., Lauren A. Wise, Elizabeth E. Hatch, Kenneth J. Rothman, Ellen M. Mikkelsen, Joseph B. Stanford, Craig J. McKinnon, and Shruthi Mahalingaiah. 2016. Menstrual cycle characteristics and fecundability in a North American preconception cohort. Annals of Epidemiology 26: 482–487.
Rowland, Andrew S., Donna Day Baird, Stuart Long, Ganesa Wegienka, Siobán D. Harlow, Michael Alavanja, and Dale P. Sandler. 2002. Influence of medical conditions and lifestyle factors on the menstrual cycle. Epidemiology 13: 668–674.
Mihm, M., S. Gangooly, and S. Muttukrishna. 2011. The normal menstrual cycle in women. Animal Reproduction Science 124: 229–236.
Harlow, S.D., and S.A. Ephross. 1995. Epidemiology of menstruation and its relevance to women’s health. Epidemiologic Reviews 17: 265–286.
National Institute of Population and Social Security Research. 2016. 15th Japanese national fertility survey. Tokyo: National Institute of Population and Social Security Research.
Japan Family Planning Association, Inc. 2012. The 6th survey on lifestyle and awareness of men and women.
Raymo, J.M., and M. Iwasawa. 2008. Bridal pregnancy and spouse pairing patterns in Japan. Journal of Marriage and Family 70: 847–860.
Veltman-Verhulst, Susanne M., Edward Hughes, Reuben Olugbenga Ayeleke, and Ben J. Cohlen. 2016. Intra-uterine insemination for unexplained subfertility. In Cochrane database of systematic reviews, ed. Susanne M. Veltman-Verhulst. https://doi.org/10.1002/14651858.CD001838.pub5.
Pandian, Zabeena, Ahmed Gibreel, and Siladitya Bhattacharya. 2015. In vitro fertilisation for unexplained subfertility. In Cochrane database of systematic reviews, ed. Zabeena Pandian. https://doi.org/10.1002/14651858.CD003357.pub4.
Dyer, S., G.M. Chambers, J. de Mouzon, K.G. Nygren, F. Zegers-Hochschild, R. Mansour, O. Ishihara, M. Banker, and G.D. Adamson. 2016. International Committee for Monitoring Assisted Reproductive Technologies world report: Assisted Reproductive Technology 2008, 2009 and 2010. Human Reproduction 31: 1588–1609.
National Institute of Population and Social Security Research. 2011. The 14th National Fertility Survey: Summary of the couple survey.
Hayashi, Reiko. 2015. Demographic impact of assisted reproductive technology (Seishoku hojo iryo no jinkougakuteki inpakuto). Igaku no Ayumi 254: 185–188. (in Japanese).
Japan Society of Obstetrics and Gynecology. 2012. ART Data Book 2012. https://plaza.umin.ac.jp/~jsog-art/2012data.pdf. Accessed 13 Oct 2017.
Leridon, Henri. 2004. Can assisted reproduction technology compensate for the natural decline in fertility with age? A model assessment. Human Reproduction 19: 1548–1553.
Juul, Svend, Niels Keiding, Mads Tvede, and European Infertility. 2000. Retrospectively sampled time-to-pregnancy data may make age-decreasing fecundity look increasing. Epidemiology 11: 717–719.
Steiner, Anne Z., and Anne Marie Z. Jukic. 2016. Impact of female age and nulligravidity on fecundity in an older reproductive age cohort. Fertility and Sterility 105: 1584–1588.
World Health Organization. 2016. Maternal, newborn, child and adolescent health. Stillbirths. http://www.who.int/maternal_child_adolescent/epidemiology/stillbirth/en/. Accessed 27 Sept 2016.
Centers for Disease Control and Prevention. 2016. Facts about Stillbirth. http://www.cdc.gov/ncbddd/stillbirth/facts.html. Accessed 27 Sept.
Senda, Yukiko. 2011. Increasing pregnancy attempt age and decreasing children -fertility decline as an unintended consequence. Journal of Population Problems 67: 22–38.
National Institute of Population and Social Security Research. 2016. Marriage and Childbirth in Japan Today: The fifteenth Japanese national fertility survey, 2015 (Results of singles and married couples survey). Tokyo: National Institute of Population and Social Security Research. (in Japanese).
Sedgh, Gilda, Susheela Singh, Iqbal H. Shah, Elisabeth Ahman, Stanley K. Henshaw, and Akinrinola Bankole. 2012. Induced abortion: Incidence and trends worldwide from 1995 to 2008. Lancet 379: 625–632.
Ministry of Internal Affairs and Communications. 2015. Table 2-12 Population 15 years old and over by age group and marital status (1975–2010). http://www.stat.go.jp/data/nenkan/zuhyou/y0212000.xls. Accessed 23 Feb 2015.
National Institute of Population and Social Security Research. 2011. The fourteenth Japanese National Fertility Survey in 2010: Attitudes toward marriage and family among Japanese singles (November 2011). Tokyo: National Institute of Population and Social Security Research. http://www.ipss.go.jp/ps-doukou/e/doukou14_s/Nfs14_Singles_Eng.pdf. Accessed 13 Oct 2017.
National Institute of Population and Social Security Research. 2007. Report on the thirteenth Japanese National Fertility Survey in 2005, volume I Marriage process and fertility of Japanese married couples, 203–207. Tokyo: National Institute of Population and Social Security Research. (in Japanese). http://www.ipss.go.jp/syoushika/bunken/DATA/pdf/132499.pdf. Accessed 13 Oct 2017.
Nybo Andersen, A.M., J. Wohlfahrt, P. Christens, J. Olsen, and M. Melbye. 2000. Maternal age and fetal loss: Population based register linkage study. BMJ 320: 1708–1712.
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Appendix: Survey Questionnaire Items in the Biodemography Project
Appendix: Survey Questionnaire Items in the Biodemography Project
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1.
How long is your menstrual cycle (not the length of menstrual bleeding but rather the length between the first day of one menstrual period and the first day of the next period)?
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1.1.
About ( ) days
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1.2.
No particular cycle length
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1.3.
I have never experienced menstruation.
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1.1.
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2.
In the past 6 months, have you experienced any changes in the onset of a menstrual cycle by more than 6 days?
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2.1.
Yes, I have experienced such a change at least once
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2.2.
No, I have not experienced any change (almost always on schedule)
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2.3.
My menstrual period is too irregular to know my usual schedule
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2.4.
I have not menstruated in the past 6 months.
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2.1.
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Konishi, S., Tamaki, E. (2018). Proximate Determinants of Fertility in Japan. In: Biodemography of Fertility in Japan. SpringerBriefs in Population Studies(). Springer, Singapore. https://doi.org/10.1007/978-981-10-0176-5_2
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