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An Association between Maternal Occupations and Low Birth Weight Infants in Japan from 1995 to 2015

Author

Listed:
  • Tasuku Okui

    (Medical Information Center, Kyushu University Hospital, Fukuoka 812-8582, Japan)

  • Masayuki Ochiai

    (Perinatal and Pediatric Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan)

  • Naoki Nakashima

    (Medical Information Center, Kyushu University Hospital, Fukuoka 812-8582, Japan)

Abstract

Differences in low birth weight rate depending on maternal socioeconomic characteristics have not yet been demonstrated using the Vital Statistics in Japan; therefore, this study aimed to investigate these differences according to maternal occupations. “Report of Vital Statistics: Occupational and Industrial Aspects” and the Vital Statistics in Japan were used every five years from 1995 to 2015. Nine types of occupations were compared. The low birth weight rate was calculated according to maternal occupations and year. Also, the standardized low birth weight ratio was obtained by dividing the number of low-birth-weight infants for each maternal occupation by an expected number of low birth weight infants. The standardized low birth weight ratio for manual workers was the highest among all occupations from 2000 to 2015, and it was significantly higher than one throughout the years. The ratio for clerical workers was also significantly higher than one from 1995 to 2010. Whereas, the ratio for farmers was significantly lower than one in most of the years. It was suggested that health guidance and prenatal care are particularly needed for manual workers, and a study investigating the differences in prenatal characteristics among maternal occupations is necessary for finding a reason for disparity.

Suggested Citation

  • Tasuku Okui & Masayuki Ochiai & Naoki Nakashima, 2021. "An Association between Maternal Occupations and Low Birth Weight Infants in Japan from 1995 to 2015," IJERPH, MDPI, vol. 18(15), pages 1-9, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:8040-:d:604422
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    References listed on IDEAS

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    1. Tomoo Hidaka & Takehito Hayakawa & Takeyasu Kakamu & Tomohiro Kumagai & Yuhei Hiruta & Junko Hata & Masayoshi Tsuji & Tetsuhito Fukushima, 2016. "Prevalence of Metabolic Syndrome and Its Components among Japanese Workers by Clustered Business Category," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-11, April.
    2. Martinson, M.L. & Reichman, N.E., 2016. "Socioeconomic inequalities in low birth weight in the United States, the United Kingdom, Canada, and Australia," American Journal of Public Health, American Public Health Association, vol. 106(4), pages 748-754.
    3. Tesfalidet Tekelab & Catherine Chojenta & Roger Smith & Deborah Loxton, 2019. "Factors affecting utilization of antenatal care in Ethiopia: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-24, April.
    4. Naomi Tamura & Tomoyuki Hanaoka & Kumiko Ito & Atsuko Araki & Chihiro Miyashita & Sachiko Ito & Hisanori Minakami & Kazutoshi Cho & Toshiaki Endo & Kazuo Sengoku & Katsuhiko Ogasawara & Reiko Kishi, 2018. "Different Risk Factors for Very Low Birth Weight, Term-Small-for-Gestational-Age, or Preterm Birth in Japan," IJERPH, MDPI, vol. 15(2), pages 1-18, February.
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