High risk pregnancy: characterization of the reproductive planning
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Saúde e Pesquisa (Online) |
Texto Completo: | https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/7590 |
Resumo: | Knowing the characteristics of reproductive planning in high risk pregnancies. Quantitative, descriptive cross-sectional study nested in a cohort. Research conducted at a public maternity referral for high risk pregnancies. A semi-structured form was used for data collection, which took place from October 2016 to August 2017. Data were analyzed using IBM SPSS Statistics 20.0 software. The prevalent profile was: young adult women (70.7%); complete high school (56.2%); white race (58.7%); income of three or more minimum wages (48.7%); steady partner (86.9%); primiparous (40.5%). Regarding the most evident pathologies were: hypertension (37.3%) and diseases derived from metabolic disorders (21.1%). 52.0% of pregnancies were unplanned, however 51.0% did not use any contraceptive method. The occurrence of pregnancy associated with pathologies indicates the need for awareness about reproductive planning, through information and clarification regarding the use of contraceptive methods. |
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High risk pregnancy: characterization of the reproductive planningGestação de alto risco: caracterização do planejamento reprodutivoContraceptionFamily PlanningPregnancy, High-Risk PregnancyWomen’s HealthAnticoncepçãoGravidez de Alto Risco.Planejamento familiarSaúde da mulherplanejamento familiargravidez de alto riscoKnowing the characteristics of reproductive planning in high risk pregnancies. Quantitative, descriptive cross-sectional study nested in a cohort. Research conducted at a public maternity referral for high risk pregnancies. A semi-structured form was used for data collection, which took place from October 2016 to August 2017. Data were analyzed using IBM SPSS Statistics 20.0 software. The prevalent profile was: young adult women (70.7%); complete high school (56.2%); white race (58.7%); income of three or more minimum wages (48.7%); steady partner (86.9%); primiparous (40.5%). Regarding the most evident pathologies were: hypertension (37.3%) and diseases derived from metabolic disorders (21.1%). 52.0% of pregnancies were unplanned, however 51.0% did not use any contraceptive method. The occurrence of pregnancy associated with pathologies indicates the need for awareness about reproductive planning, through information and clarification regarding the use of contraceptive methods.Conhecer as características do planejamento reprodutivo em gestações de alto risco. Estudo quantitativo, transversal descritivo aninhado ou alinhado a uma coorte. Pesquisa realizada em uma maternidade pública de referência para alto risco. Foi utilizado formulário semiestruturado para coleta dos dados, que aconteceu no período de outubro de 2016 a agosto de 2017. Os dados foram analisados no software IBM SPSS Statistics 20.0. O perfil prevalente na pesquisa foi mulheres jovens-adultas (70,7%); ensino médio completo (56,2%); raça branca (58,7%); renda de três ou mais salários mínimos (48,7%); companheiro fixo (86,9%); primípara (40,5%). As patologias mais evidentes foram a hipertensão (37,3%) e as doenças derivadas de distúrbios metabólicos (21,1%); 52,0% das gestações não foram planejadas, no entanto 51,0% não utilizavam nenhum método anticoncepcional. A ocorrência de gravidez associada a patologias indicam a necessidade da conscientização sobre o planejamento reprodutivo, por meio de informações e esclarecimento em relação à utilização de métodos anticoncepcionais.Universidade Cesumar - UniCesumar2020-06-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por Parespesquisa quantitativa, descritiva, transversalapplication/pdfapplication/pdfhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/759010.17765/2176-9206.2020v13n2p421-429Saúde e Pesquisa; Vol 13 No 2 (2020): abr./jun.; 421-429Saúde e Pesquisa; v. 13 n. 2 (2020): abr./jun.; 421-4292176-9206reponame:Saúde e Pesquisa (Online)instname:Cesumar Diretoria de Pesquisainstacron:CESUMARporhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/7590/6297https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/7590/6298Capello, Thais da SilvaMedeiros, Fabiana FontanaRodrigues, Mariana HaddadSantos, Izabel Dayana de LemosBernardy, Cátia Campaner FerrariCardelli, Alexandrina Aparecida Macielinfo:eu-repo/semantics/openAccess2020-07-22T14:54:26Zoai:ojs.pkp.sfu.ca:article/7590Revistahttps://periodicos.unicesumar.edu.br/index.php/saudpesqPUBhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/oainaep@cesumar.br2176-92061983-1870opendoar:2020-07-22T14:54:26Saúde e Pesquisa (Online) - Cesumar Diretoria de Pesquisafalse |
dc.title.none.fl_str_mv |
High risk pregnancy: characterization of the reproductive planning Gestação de alto risco: caracterização do planejamento reprodutivo |
title |
High risk pregnancy: characterization of the reproductive planning |
spellingShingle |
High risk pregnancy: characterization of the reproductive planning Capello, Thais da Silva Contraception Family Planning Pregnancy, High-Risk Pregnancy Women’s Health Anticoncepção Gravidez de Alto Risco. Planejamento familiar Saúde da mulher planejamento familiar gravidez de alto risco |
title_short |
High risk pregnancy: characterization of the reproductive planning |
title_full |
High risk pregnancy: characterization of the reproductive planning |
title_fullStr |
High risk pregnancy: characterization of the reproductive planning |
title_full_unstemmed |
High risk pregnancy: characterization of the reproductive planning |
title_sort |
High risk pregnancy: characterization of the reproductive planning |
author |
Capello, Thais da Silva |
author_facet |
Capello, Thais da Silva Medeiros, Fabiana Fontana Rodrigues, Mariana Haddad Santos, Izabel Dayana de Lemos Bernardy, Cátia Campaner Ferrari Cardelli, Alexandrina Aparecida Maciel |
author_role |
author |
author2 |
Medeiros, Fabiana Fontana Rodrigues, Mariana Haddad Santos, Izabel Dayana de Lemos Bernardy, Cátia Campaner Ferrari Cardelli, Alexandrina Aparecida Maciel |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Capello, Thais da Silva Medeiros, Fabiana Fontana Rodrigues, Mariana Haddad Santos, Izabel Dayana de Lemos Bernardy, Cátia Campaner Ferrari Cardelli, Alexandrina Aparecida Maciel |
dc.subject.por.fl_str_mv |
Contraception Family Planning Pregnancy, High-Risk Pregnancy Women’s Health Anticoncepção Gravidez de Alto Risco. Planejamento familiar Saúde da mulher planejamento familiar gravidez de alto risco |
topic |
Contraception Family Planning Pregnancy, High-Risk Pregnancy Women’s Health Anticoncepção Gravidez de Alto Risco. Planejamento familiar Saúde da mulher planejamento familiar gravidez de alto risco |
description |
Knowing the characteristics of reproductive planning in high risk pregnancies. Quantitative, descriptive cross-sectional study nested in a cohort. Research conducted at a public maternity referral for high risk pregnancies. A semi-structured form was used for data collection, which took place from October 2016 to August 2017. Data were analyzed using IBM SPSS Statistics 20.0 software. The prevalent profile was: young adult women (70.7%); complete high school (56.2%); white race (58.7%); income of three or more minimum wages (48.7%); steady partner (86.9%); primiparous (40.5%). Regarding the most evident pathologies were: hypertension (37.3%) and diseases derived from metabolic disorders (21.1%). 52.0% of pregnancies were unplanned, however 51.0% did not use any contraceptive method. The occurrence of pregnancy associated with pathologies indicates the need for awareness about reproductive planning, through information and clarification regarding the use of contraceptive methods. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-12 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado por Pares pesquisa quantitativa, descritiva, transversal |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/7590 10.17765/2176-9206.2020v13n2p421-429 |
url |
https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/7590 |
identifier_str_mv |
10.17765/2176-9206.2020v13n2p421-429 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/7590/6297 https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/7590/6298 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Cesumar - UniCesumar |
publisher.none.fl_str_mv |
Universidade Cesumar - UniCesumar |
dc.source.none.fl_str_mv |
Saúde e Pesquisa; Vol 13 No 2 (2020): abr./jun.; 421-429 Saúde e Pesquisa; v. 13 n. 2 (2020): abr./jun.; 421-429 2176-9206 reponame:Saúde e Pesquisa (Online) instname:Cesumar Diretoria de Pesquisa instacron:CESUMAR |
instname_str |
Cesumar Diretoria de Pesquisa |
instacron_str |
CESUMAR |
institution |
CESUMAR |
reponame_str |
Saúde e Pesquisa (Online) |
collection |
Saúde e Pesquisa (Online) |
repository.name.fl_str_mv |
Saúde e Pesquisa (Online) - Cesumar Diretoria de Pesquisa |
repository.mail.fl_str_mv |
naep@cesumar.br |
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1754122534954991616 |