Literature DB >> 33411107

Association Between Maternal Working Status and Unintentional Injuries Among 3 to 4-Month-Old Infants in Japan.

Masaaki Takizawa1, Ichiro Kawachi2, Takeo Fujiwara3, Masashi Kizuki1, Nobutoshi Nawa1, Shiho Kino2.   

Abstract

OBJECTIVES: Globally, unintentional injuries are one of the leading causes of infant death. Established risk factors for injuries during infancy include single parent households, socioeconomic disadvantage and maternal postpartum depression. We sought to examine whether maternal working status is associated with unintentional injury among infants in Japan.
METHODS: We used data from an original questionnaire targeting mothers who participated in a 3 or 4-month health check-up program in Aichi prefecture, Japan. Experience of any type of unintentional injury was used as the primary outcome, and we also examined the experience of "falls" and "near-drowning" as secondary outcomes. We conducted multivariable logistic regression analysis, adjusting for covariates. We also performed propensity score matching in order to balance covariates between paid employment and unpaid employment groups.
RESULTS: Among 6,465 valid responses (response rate, 67%), 9.8% of infants experienced unintentional injuries. After matching on propensity for maternal employment (based on 26 covariates), we found that infants of mothers in paid employment were 1.35 times (95% CI: 1.04-1.74) more likely to experience injures, including 1.60 times higher likelihood of falls (95% CI: 1.14-2.24). Near-drowning was not significantly associated with maternal employment. We also found that father's employment status was positively associated with risk of falls.
CONCLUSION: Both multivariable logistic analysis and propensity score matching analysis revealed that maternal paid employment status was associated with unintentional injuries among Japanese infants. To prevent infant injuries, comprehensive support for working families should be considered.

Entities:  

Keywords:  Infant; Maternal working status; Propensity score; Unintentional injury

Year:  2021        PMID: 33411107     DOI: 10.1007/s10995-020-03083-2

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  11 in total

1.  Parental socioeconomic status and unintentional injury deaths in early childhood: consideration of injury mechanisms, age at death, and gender.

Authors:  Juhee Hong; Boeun Lee; Eun Hee Ha; Hyesook Park
Journal:  Accid Anal Prev       Date:  2009-09-11

2.  Supervision and risk of unintentional injury in young children.

Authors:  Patricia G Schnitzer; M Denise Dowd; Robin L Kruse; Barbara A Morrongiello
Journal:  Inj Prev       Date:  2014-05-21       Impact factor: 2.399

3.  Relationships between child, family and neighbourhood characteristics and childhood injury: a cohort study.

Authors:  Denise Kendrick; Caroline Mulvaney; Paul Burton; Michael Watson
Journal:  Soc Sci Med       Date:  2005-11       Impact factor: 4.634

Review 4.  The impact of labor policies on the health of young children in the context of economic globalization.

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Journal:  Annu Rev Public Health       Date:  2013-01-04       Impact factor: 21.981

5.  Parental leave and child health.

Authors:  C J Ruhm
Journal:  J Health Econ       Date:  2000-11       Impact factor: 3.883

6.  [Frequency and prevention of childhood domestic injury according to age].

Authors:  Shiomi Kanaizumi; Mariko Shibata; Yukiko Miyazaki; Tomiko Nakashita; Keiko Sakou; Yasue Hoshino; Shinko Ichinohe; Ayako Ohno; Shigeo Manabe
Journal:  Nihon Koshu Eisei Zasshi       Date:  2009-04

7.  Paternal involvement in childcare and unintentional injury of young children: a population-based cohort study in Japan.

Authors:  Takeo Fujiwara; Makiko Okuyama; Kunihiko Takahashi
Journal:  Int J Epidemiol       Date:  2009-11-18       Impact factor: 7.196

8.  Child injury risks are close to home: parent psychosocial factors associated with child safety.

Authors:  Karin V Rhodes; Theodore J Iwashyna
Journal:  Matern Child Health J       Date:  2007-01-10

9.  An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.

Authors:  Peter C Austin
Journal:  Multivariate Behav Res       Date:  2011-06-08       Impact factor: 5.923

10.  Independent risk factors for injury in pre-school children: three population-based nested case-control studies using routine primary care data.

Authors:  Elizabeth Orton; Denise Kendrick; Joe West; Laila J Tata
Journal:  PLoS One       Date:  2012-04-05       Impact factor: 3.240

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