Journal of Preventive Medicine and Public Health

The Korean Society for Preventive Medicine (대한예방의학회)
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Analysis of the Incidence of Macrosomia in Japan by Parental Nationalities at 5-year Intervals From 1995 to 2020

  • Tasuku Okui (Medical Information Center, Kyushu University Hospital)
  • Received : 2023.03.14
  • Accepted : 2023.06.26
  • Published : 2023.07.31
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Abstract

Objectives: We investigated trends in the incidence rate of macrosomia and its association with parental nationalities using Vital Statistics data in Japan. Methods: We used singleton birth data every 5 years from 1995 to 2020. The incidence rate of macrosomia was calculated according to specific attributes (maternal age, infant's sex, parental nationalities, parity, and household occupation) over time (years). In addition, a log-binomial model was used to investigate the relationship between the incidence of macrosomia and the attributes. This study compared Korea, China, the Philippines, Brazil, and other countries with Japan in terms of parental nationalities. "Other countries" indicates countries except for Japan, Korea, China, the Philippines, and Brazil. Results: The study included 6 180 787 births. The rate of macrosomia in Japan decreased from 1.43% in 1995 to 0.88% in 2020, and the decrease was observed across all parental nationalities. The rates for Japanese parents were the lowest values among parental nationalities during the timespan investigated. Multivariate regression analysis showed that mothers from Korea, China, the Philippines, Brazil, and other countries had a significantly higher risk of macrosomia than those from Japan (risk ratio, 1.91, 2.82, 1.59, 1.74, and 1.64, respectively). Furthermore, fathers from China, the Philippines, Brazil, and other countries had a significantly higher risk of macrosomia than those from Japan (risk ratio, 1.66, 1.38, 1.88, and 3.02, respectively). Conclusions: The rate of macrosomia decreased from 1995 to 2020 in Japan for parents of all nationalities, and the risk of macrosomia incidence was associated with parental nationality.

Keywords

Acknowledgement

This study was supported by JSPS KAKENHI Grant No. JP22K17372.

References

  1. Miller C, Lim E. The risk of diabetes after giving birth to a macrosomic infant: data from the NHANES cohort. Matern Health Neonatol Perinatol 2021;7(1):12. 
  2. Beta J, Khan N, Fiolna M, Khalil A, Ramadan G, Akolekar R. Maternal and neonatal complications of fetal macrosomia: cohort study. Ultrasound Obstet Gynecol 2019;54(3):319-325.  https://doi.org/10.1002/uog.20278
  3. Said AS, Manji KP. Risk factors and outcomes of fetal macrosomia in a tertiary centre in Tanzania: a case-control study. BMC Pregnancy Childbirth 2016;16(1):243. 
  4. Cheng YK, Lao TT. Fetal and maternal complications in macrosomic pregnancies. Res Rep Neonatol 2014;4:65-70.  https://doi.org/10.2147/RRN.S39110
  5. Cho KH, Yoon SJ, Lim J, Eun H, Park MS, Park KI, et al. Epidemiology of macrosomia in Korea: growth and development. J Korean Med Sci 2021;36(47):e320. 
  6. Gu S, An X, Fang L, Zhang X, Zhang C, Wang J, et al. Risk factors and long-term health consequences of macrosomia: a prospective study in Jiangsu Province, China. J Biomed Res 2012;26(4):235-240.  https://doi.org/10.7555/JBR.26.20120037
  7. Morikawa M, Cho K, Yamada T, Yamada T, Sato S, Minakami H. Fetal macrosomia in Japanese women. J Obstet Gynaecol Res 2013;39(5):960-965.  https://doi.org/10.1111/j.1447-0756.2012.02059.x
  8. Uchinuma H, Tsuchiya K, Sekine T, Horiuchi S, Kushima M, Otawa S, et al. Gestational body weight gain and risk of low birth weight or macrosomia in women of Japan: a nationwide cohort study. Int J Obes (Lond) 2021;45(12):2666-2674.  https://doi.org/10.1038/s41366-021-00947-7
  9. Enomoto K, Aoki S, Toma R, Fujiwara K, Sakamaki K, Hirahara F. Pregnancy outcomes based on pre-pregnancy body mass index in Japanese women. PLoS One 2016;11(6):e0157081. 
  10. Makino S, Omori M, Aoyama M, Miyata S. Changes in the distribution of live birth weight in Japan. Nihon Eiseigaku Zasshi 1985;40(4):756-762 (Japanese).  https://doi.org/10.1265/jjh.40.756
  11. Yamaoka Y, Morisaki N, Noguchi H, Takahashi H, Tamiya N. Comprehensive assessment of risk factors of cause-specific infant deaths in Japan. J Epidemiol 2018;28(6):307-314.  https://doi.org/10.2188/jea.JE20160188
  12. Okui T, Sato Y, Morokuma S, Nakashima N. Association of maternal nationality with preterm birth and low birth weight rates: analysis of nationwide data in Japan from 2016 to 2020. Matern Health Neonatol Perinatol 2023;9(1):3. 
  13. De Curtis M, Villani L, Polo A. High risk of macrosomia in newborns of immigrant mothers. Ital J Pediatr 2020;46(1):8. 
  14. Lee JE, Yoon HJ, Jang YR, Ko HS. Term low birth weight or macrosomia among immigrant mothers in Korea. Perinatology 2020;31(4):179-185.  https://doi.org/10.14734/PN.2020.31.4.179
  15. Van Buuren S, Groothuis-Oudshoorn K. Mice: multivariate imputation by chained equations in R. J Stat Softw 2013;45(3):1-67.  https://doi.org/10.18637/jss.v045.i03
  16. Takemoto Y, Ota E, Yoneoka D, Mori R, Takeda S. Japanese secular trends in birthweight and the prevalence of low birthweight infants during the last three decades: a population-based study. Sci Rep 2016;6:31396. 
  17. Mine T, Tsuboi S, Fukushima F. Twenty-year trends of low birth weight in Japan: a joinpoint regression analysis of data from 2000 to 2019. Front Reprod Health 2021;3:772575. 
  18. Yoshida H. Current trends in low birth weight infants in Japan. J Natl Inst Public Health 2014;63(1):216 (Japanese). 
  19. Hur YM. Secular trends of birth weight in twins and singletons in South Korea from 2000 to 2020. Twin Res Hum Genet 2023:1-6. 
  20. Kim HE, Song IG, Chung SH, Choi YS, Bae CW. Trends in birth weight and the incidence of low birth weight and advanced maternal age in Korea between 1993 and 2016. J Korean Med Sci 2019;34(4):e34. 
  21. Rao J, Fan D, Wu S, Lin D, Zhang H, Ye S, et al. Trend and risk factors of low birth weight and macrosomia in south China, 2005-2017: a retrospective observational study. Sci Rep 2018;8(1):3393. 
  22. Lu Y, Zhang J, Lu X, Xi W, Li Z. Secular trends of macrosomia in southeast China, 1994-2005. BMC Public Health 2011;11:818. 
  23. Nascimento MI, Pereira DF, Lopata C, Oliveira CL, Moura AA, Mattos MJ, et al. Trends in the prevalence of live macrosomic newborns according to gestational age strata, in Brazil, 2001-2010, and 2012-2014. Rev Bras Ginecol Obstet 2017;39(8):376-383.  https://doi.org/10.1055/s-0037-1604266
  24. Harvey L, van Elburg R, van der Beek EM. Macrosomia and large for gestational age in Asia: one size does not fit all. J Obstet Gynaecol Res 2021;47(6):1929-1945.  https://doi.org/10.1111/jog.14787
  25. Morisaki N, Kawachi I, Oken E, Fujiwara T. Parental characteristics can explain why Japanese women give birth to the smallest infants in the United States. Paediatr Perinat Epidemiol 2016;30(5):473-478.  https://doi.org/10.1111/ppe.12308
  26. Kc K, Shakya S, Zhang H. Gestational diabetes mellitus and macrosomia: a literature review. Ann Nutr Metab 2015;66 Suppl 2:14-20.  https://doi.org/10.1159/000371628
  27. Hedderson MM, Darbinian JA, Ferrara A. Disparities in the risk of gestational diabetes by race-ethnicity and country of birth. Paediatr Perinat Epidemiol 2010;24(5):441-448.  https://doi.org/10.1111/j.1365-3016.2010.01140.x
  28. Lunde A, Melve KK, Gjessing HK, Skjaerven R, Irgens LM. Genetic and environmental influences on birth weight, birth length, head circumference, and gestational age by use of population-based parent-offspring data. Am J Epidemiol 2007;165(7):734-741.  https://doi.org/10.1093/aje/kwk107
  29. Hur YM. Genetic and environmental influences on birthweight in a sample of Korean twins. J Korean Med Sci 2005;20(3):355-360.  https://doi.org/10.3346/jkms.2005.20.3.355
  30. Derraik JG, Pasupathy D, McCowan LM, Poston L, Taylor RS, Simpson NA, et al. Paternal contributions to large-for-gestational-age term babies: findings from a multicenter prospective cohort study. J Dev Orig Health Dis 2019;10(5):529-535.  https://doi.org/10.1017/S2040174419000035
  31. Takagi K, Iwama N, Metoki H, Uchikura Y, Matsubara Y, Matsubara K, et al. Paternal height has an impact on birth weight of their offspring in a Japanese population: the Japan Environment and Children's Study. J Dev Orig Health Dis 2019;10(5):542-554.  https://doi.org/10.1017/S2040174418001162
  32. Wardle J, Haase AM, Steptoe A. Body image and weight control in young adults: international comparisons in university students from 22 countries. Int J Obes (Lond) 2006;30(4):644-651.  https://doi.org/10.1038/sj.ijo.0803050
  33. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet 2016;387(10026):1377-1396.  https://doi.org/10.1016/S0140-6736(16)30054-X
  34. Kita S, Minatani M, Hikita N, Matsuzaki M, Shiraishi M, Haruna M. A systematic review of the physical, mental, social, and economic problems of immigrant women in the perinatal period in Japan. J Immigr Minor Health 2015;17(6):1863-1881.  https://doi.org/10.1007/s10903-015-0192-2
  35. Carter EB, Tuuli MG, Odibo AO, Macones GA, Cahill AG. Prenatal visit utilization and outcomes in pregnant women with type II and gestational diabetes. J Perinatol 2017;37(2):122-126.  https://doi.org/10.1038/jp.2016.175
  36. Song L, Shen L, Li H, Liu B, Zheng X, Zhang L, et al. Socio-economic status and risk of gestational diabetes mellitus among Chinese women. Diabet Med 2017;34(10):1421-1427.  https://doi.org/10.1111/dme.13415
  37. Chung YH, Hwang IS, Jung G, Ko HS. Advanced parental age is an independent risk factor for term low birth weight and macrosomia. Medicine (Baltimore) 2022;101(26):e29846. 
  38. Furuta M, Hirosige Y, Doi T, Sone T, Matsuda S, Kahyo H. Main household occupation and mean birth weight in Japan 1984. J UOEH 1994;16(1):43-52 (Japanese).  https://doi.org/10.7888/juoeh.16.43
  39. Page RC, Kirk BA, Fay T, Wilcox M, Hosking DJ, Jeffcoate WJ. Is macrosomia associated with poor glycaemic control in diabetic pregnancy? Diabet Med 1996;13(2):170-174. https://doi.org/10.1002/(SICI)1096-9136(199602)13:2<170::AID-DIA8>3.0.CO;2-4