Evidence map›Paper›PMID 32646511›Full record

ArticleBMC pregnancy and childbirth2020

Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011-2016.

Son Trung Huynh, Hiroshi Yokomichi, Yuka Akiyama, Reiji Kojima, Sayaka Horiuchi, Tadao Ooka, Ryoji Shinohara, Zentaro Yamagata

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Son Trung HuynhDepartment of Health Sciences, School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan. huynh.trungson@hotmail.com.ORCID http://orcid.org/0000-0003-3049-0541
Hiroshi YokomichiDepartment of Health Sciences, School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan.
Yuka AkiyamaDepartment of Health Sciences, School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan.
Reiji KojimaDepartment of Health Sciences, School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan.
Sayaka HoriuchiCentre for Birth Cohort Studies, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan.
Tadao OokaDepartment of Health Sciences, School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan.
Ryoji ShinoharaCentre for Birth Cohort Studies, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan.
Zentaro YamagataDepartment of Health Sciences, School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan.
University of Yamanashi · JPUniversity of Yamanashi Hospital · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology (JP) JP17K19778Ministry of Education, Culture, Sports, Science and Technology (JP) JP18H03037Ministry of Education, Culture, Sports, Science and Technology (JP) JP18K17375Ministry of Education, Culture, Sports, Science and Technology (JP) JP18K17376Ministry of Education, Culture, Sports, Science and Technology (JP) JP19K19433Ministry of Education, Culture, Sports, Science and Technology (JP) JP19K19469Ministry of Health, Labour and Welfare (JP) H30-Seiikushikkankokufukuto-01
6 · The paper itself

Abstract

backgroundUnplanned 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.

methodsWe 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%.

resultsOf 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.

conclusionsThe 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.

Indexed as

Pregnancy, UnplannedAdultCohort StudiesCross-Sectional StudiesFemaleHumansJapanLogistic ModelsPregnancyPrevalenceRisk FactorsYoung AdultContraceptive methodsDietFamily planningJapanPrevalenceRisk factorsRural womenSmokingUnintended pregnancyUnplanned pregnancy

Identifiers

PMID32646511
PMCPMC7346350
OpenAlexW3041656653

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.