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Prevalence and Determinants of Unintended Pregnancy in Sub -Saharan Africa: A Systematic Review.撒哈拉以南非洲意外怀孕的流行状况和决定因素:系统评价。
Afr J Reprod Health. 2020 Jun;24(2):187-205. doi: 10.29063/ajrh2020/v24i2.18.
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Impact of the COVID-19 Pandemic on Maternal Anxiety in Brazil.新冠疫情对巴西孕产妇焦虑情绪的影响。
J Clin Med. 2021 Feb 6;10(4):620. doi: 10.3390/jcm10040620.
3
Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries.意外怀孕的流行情况及其相关因素:来自六个南亚国家的证据。
PLoS One. 2021 Feb 1;16(2):e0245923. doi: 10.1371/journal.pone.0245923. eCollection 2021.
4
Trends and inequalities in unplanned pregnancy in three population-based birth cohorts in Pelotas, Brazil.巴西佩洛塔斯三个基于人群的出生队列中意外怀孕的趋势和不平等。
Int J Public Health. 2020 Dec;65(9):1635-1645. doi: 10.1007/s00038-020-01505-0. Epub 2020 Oct 13.
5
Unintended pregnancy and abortion by income, region, and the legal status of abortion: estimates from a comprehensive model for 1990-2019.按收入、地区和堕胎合法状况划分的意外妊娠和堕胎:1990-2019 年综合模型估计。
Lancet Glob Health. 2020 Sep;8(9):e1152-e1161. doi: 10.1016/S2214-109X(20)30315-6. Epub 2020 Jul 22.
6
Sociodemographic factors and prenatal care behaviors associated with unplanned pregnancy in a Brazilian birth cohort study.巴西出生队列研究中与意外怀孕相关的社会人口因素和产前保健行为。
Int J Gynaecol Obstet. 2020 Nov;151(2):237-243. doi: 10.1002/ijgo.13305. Epub 2020 Aug 11.
7
Unplanned pregnancies in New Zealand.新西兰的意外怀孕情况。
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8
[Epidemiology of induced abortion in France].[法国人工流产的流行病学]
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9
Factors associated with unintended pregnancy in Brazil: cross-sectional results from the Birth in Brazil National Survey, 2011/2012.巴西意外怀孕相关因素:2011/2012年巴西全国出生调查的横断面结果
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10
Declines in Unintended Pregnancy in the United States, 2008-2011.2008 - 2011年美国意外怀孕率下降情况
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巴西的意外怀孕:八所大学医院的全国性研究。

Unplanned pregnancy in Brazil: national study in eight university hospitals.

机构信息

Universidade de Brasília. Hospital Universitário de Brasília. Brasília, DF, Brasil.

Universidade de Brasília. Faculdade de Ciências da Saúde. Departamento de Ciências Farmacêuticas. Brasília, DF, Brasil.

出版信息

Rev Saude Publica. 2023 Jun 23;57:35. doi: 10.11606/s1518-8787.2023057004449. eCollection 2023.

DOI:10.11606/s1518-8787.2023057004449
PMID:37377331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10317132/
Abstract

OBJECTIVE

To estimate the prevalence of unplanned pregnancy in eight public university hospitals, distributed in the five regions that make up Brazil.

METHODS

A secondary analysis of a national multicenter cross-sectional study, carried out in eight public university hospitals between June 1 and August 31, 2020, in Brazil. Convenience sample including women who gave birth within sixty consecutive days and met the following criteria: over 18 years old; gestational age over 36 weeks at delivery; with a single and live newborn, without malformations.

RESULTS

Sample composed of 1,120 postpartum women, of whom 756 (67.5%) declared that the pregnancy had not been planned. The median prevalence of unplanned pregnancy was 59.7%. The prevalence of unplanned pregnancy across hospitals differed significantly: Campinas (54.8%), Porto Alegre (58.2%), Florianópolis (59%), Teresina (61.2%), Brasília (64.3%), São Paulo (64.6%), Campo Grande (73.9%) and Manaus (95.3%) (p < 0.001). Factors significantly associated with unplanned pregnancy were maternal age, black color, lower family income, greater number of children, greater number of people living in household, and not having a partner.

CONCLUSION

In the studied sample, about two thirds of the pregnancies were declared as unplanned. The prevalence of unplanned pregnancies was related to social and demographic factors and varied significantly across the university hospitals evaluated.

摘要

目的

估计巴西五个地区的八所公立大学医院中意外怀孕的发生率。

方法

这是一项在巴西八所公立大学医院于 2020 年 6 月 1 日至 8 月 31 日期间进行的全国多中心横断面研究的二次分析。采用方便抽样,纳入在 60 天内分娩且符合以下标准的女性:年龄超过 18 岁;分娩时的胎龄超过 36 周;单胎活产,无畸形。

结果

样本由 1120 名产后女性组成,其中 756 名(67.5%)表示怀孕并非计划内。意外怀孕的中位数发生率为 59.7%。各医院间意外怀孕的发生率差异有统计学意义:坎皮纳斯(54.8%)、阿雷格里港(58.2%)、弗洛里亚诺波利斯(59%)、特雷斯皮里斯(61.2%)、巴西利亚(64.3%)、圣保罗(64.6%)、大坎普(73.9%)和马瑙斯(95.3%)(p < 0.001)。与意外怀孕显著相关的因素有:母亲年龄、黑色人种、家庭收入较低、子女数量较多、家庭人口较多、无伴侣。

结论

在所研究的样本中,约三分之二的妊娠被认为是意外怀孕。意外怀孕的发生率与社会人口因素有关,且在评估的各所大学医院间存在显著差异。