Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011–2016
Abstract Background Unplanned pregnancy is a public health issue with adverse consequences for maternal and neonatal health. In Japan, the prevalence of unplanned pregnancy was 46.2% in 2002. However, few studies have investigated this topic, and there is little recent data from Japan. We described...
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doaj-c829dc9988584877b0e0cac2780182042020-11-25T03:02:21ZengBMCBMC Pregnancy and Childbirth1471-23932020-07-0120111010.1186/s12884-020-03088-3Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011–2016Son Trung Huynh0Hiroshi Yokomichi1Yuka Akiyama2Reiji Kojima3Sayaka Horiuchi4Tadao Ooka5Ryoji Shinohara6Zentaro Yamagata7Department of Health Sciences, School of Medicine, University of YamanashiDepartment of Health Sciences, School of Medicine, University of YamanashiDepartment of Health Sciences, School of Medicine, University of YamanashiDepartment of Health Sciences, School of Medicine, University of YamanashiCentre for Birth Cohort Studies, University of YamanashiDepartment of Health Sciences, School of Medicine, University of YamanashiCentre for Birth Cohort Studies, University of YamanashiDepartment of Health Sciences, School of Medicine, University of YamanashiAbstract Background Unplanned pregnancy is a public health issue with adverse consequences for maternal and neonatal health. In Japan, the prevalence of unplanned pregnancy was 46.2% in 2002. However, few studies have investigated this topic, and there is little recent data from Japan. We described and examined the prevalence and determinants of unplanned pregnancy among rural women in Japan from 2011 to 2016. Methods We used cross-sectional data from a community-based cohort study (Project Koshu). Data were collected from 2011 to 2016 via a self-report questionnaire included in the Maternal and Child Health Handbook of Japan. Pregnancy intention was measured as a binary variable (planned or unplanned). Univariate and multivariate logistic regression analyses were performed to examine factors associated with unplanned pregnancy, with results reported as odds ratios (ORs) and 95% confidence intervals (CIs). We conducted sensitivity analyses with different definitions of pregnancy intention to assess the robustness of the results. The significance level was set at 5%. Results Of the 932 participants (mean ± standard deviation age at baseline: 31.3 ± 5.2 years), 382 (41%) pregnancies were reported as unplanned. The multivariate analyses showed that maternal age (+ 1 year: OR = 0.94, 95% CI: 0.92–0.97, p < 0.001), ‘other’ family structure (OR = 2.76, 95% CI: 1.12–6.76, p = 0.03), three or more pregnancies (OR = 2.26, 95% CI: 1.66–3.08, p < 0.001), current smoking (OR = 2.60, 95% CI: 1.26–5.35, p = 0.01), balanced diet (OR = 0.62, 95% CI: 0.47–0.83, p < 0.001) and current depression (OR = 1.63, 95% CI: 1.24–2.16, p < 0.001) were strongly associated with unplanned pregnancy. These associations were consistent across definitions of pregnancy intention, supporting the robustness of our results. Conclusions The prevalence of unplanned pregnancy in the study population was high (41%). Risk factors for unplanned pregnancy were age, number of pregnancies, smoking, having a balanced diet and current depression. These results suggest greater efforts are needed to enhance sex education for young people, improve access to family planning services and provide comprehensive health care for high-risk women to help reduce unplanned pregnancies.http://link.springer.com/article/10.1186/s12884-020-03088-3Unplanned pregnancyUnintended pregnancyRural womenPrevalenceRisk factorsDiet |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Son Trung Huynh Hiroshi Yokomichi Yuka Akiyama Reiji Kojima Sayaka Horiuchi Tadao Ooka Ryoji Shinohara Zentaro Yamagata |
spellingShingle |
Son Trung Huynh Hiroshi Yokomichi Yuka Akiyama Reiji Kojima Sayaka Horiuchi Tadao Ooka Ryoji Shinohara Zentaro Yamagata Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011–2016 BMC Pregnancy and Childbirth Unplanned pregnancy Unintended pregnancy Rural women Prevalence Risk factors Diet |
author_facet |
Son Trung Huynh Hiroshi Yokomichi Yuka Akiyama Reiji Kojima Sayaka Horiuchi Tadao Ooka Ryoji Shinohara Zentaro Yamagata |
author_sort |
Son Trung Huynh |
title |
Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011–2016 |
title_short |
Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011–2016 |
title_full |
Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011–2016 |
title_fullStr |
Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011–2016 |
title_full_unstemmed |
Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011–2016 |
title_sort |
prevalence of and factors associated with unplanned pregnancy among women in koshu, japan: cross-sectional evidence from project koshu, 2011–2016 |
publisher |
BMC |
series |
BMC Pregnancy and Childbirth |
issn |
1471-2393 |
publishDate |
2020-07-01 |
description |
Abstract Background Unplanned pregnancy is a public health issue with adverse consequences for maternal and neonatal health. In Japan, the prevalence of unplanned pregnancy was 46.2% in 2002. However, few studies have investigated this topic, and there is little recent data from Japan. We described and examined the prevalence and determinants of unplanned pregnancy among rural women in Japan from 2011 to 2016. Methods We used cross-sectional data from a community-based cohort study (Project Koshu). Data were collected from 2011 to 2016 via a self-report questionnaire included in the Maternal and Child Health Handbook of Japan. Pregnancy intention was measured as a binary variable (planned or unplanned). Univariate and multivariate logistic regression analyses were performed to examine factors associated with unplanned pregnancy, with results reported as odds ratios (ORs) and 95% confidence intervals (CIs). We conducted sensitivity analyses with different definitions of pregnancy intention to assess the robustness of the results. The significance level was set at 5%. Results Of the 932 participants (mean ± standard deviation age at baseline: 31.3 ± 5.2 years), 382 (41%) pregnancies were reported as unplanned. The multivariate analyses showed that maternal age (+ 1 year: OR = 0.94, 95% CI: 0.92–0.97, p < 0.001), ‘other’ family structure (OR = 2.76, 95% CI: 1.12–6.76, p = 0.03), three or more pregnancies (OR = 2.26, 95% CI: 1.66–3.08, p < 0.001), current smoking (OR = 2.60, 95% CI: 1.26–5.35, p = 0.01), balanced diet (OR = 0.62, 95% CI: 0.47–0.83, p < 0.001) and current depression (OR = 1.63, 95% CI: 1.24–2.16, p < 0.001) were strongly associated with unplanned pregnancy. These associations were consistent across definitions of pregnancy intention, supporting the robustness of our results. Conclusions The prevalence of unplanned pregnancy in the study population was high (41%). Risk factors for unplanned pregnancy were age, number of pregnancies, smoking, having a balanced diet and current depression. These results suggest greater efforts are needed to enhance sex education for young people, improve access to family planning services and provide comprehensive health care for high-risk women to help reduce unplanned pregnancies. |
topic |
Unplanned pregnancy Unintended pregnancy Rural women Prevalence Risk factors Diet |
url |
http://link.springer.com/article/10.1186/s12884-020-03088-3 |
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