Maria Enoy Neves Gusmão
Federal University of Bahia
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Acta Paulista De Enfermagem | 2012
Edméia de Almeida Cardoso Coelho; Maria Lindiane de Souza Andrade; Laís Vilanova Tavares Vitoriano; Jussilene de Jesus Souza; Diorlene Oliveira da Silva; Maria Enoy Neves Gusmão; Enilda Rosendo do Nascimento; Mariza Silva Almeida
OBJECTIVE: To estimate the prevalence of unplanned pregnancy and verify its association with sociodemographic factors in women enrolled in the FHS - Family Health Strategy, in suburban sanitary Salvador - BA. METHODS: A quantitative, exploratory, cross-sectional study, with a sample of 191 pregnant women, stratified by health units. The pregnancy was categorized into planned and unplanned, and sociodemographic characteristics constituted the independent variables. The magnitude of the associations was obtained by the ratio of prevalence and confidence intervals (95%), estimated by Poisson regression, with the level of statistical significance, 5% (p < 0.05). RESULTS: The prevalence of unplanned pregnancy was 66.5%; age, marital status, occupational situation, and income exhibited statistically significant proportional differences with regard to type of pregnancy. There was a positive association between age, marital status and occupation with unplanned pregnancy. CONCLUSIONS: The results reaffirm the association between unplanned pregnancy and socioeconomic conditions, and the ESF appears to have been effective in ensuring the reproductive rights of women.
Acta Paulista De Enfermagem | 2012
Edméia de Almeida Cardoso Coelho; Maria Lindiane de Souza Andrade; Laís Vilanova Tavares Vitoriano; Jussilene de Jesus Souza; Diorlene Oliveira da Silva; Maria Enoy Neves Gusmão; Enilda Rosendo do Nascimento; Mariza Silva Almeida
OBJECTIVE: To estimate the prevalence of unplanned pregnancy and verify its association with sociodemographic factors in women enrolled in the FHS - Family Health Strategy, in suburban sanitary Salvador - BA. METHODS: A quantitative, exploratory, cross-sectional study, with a sample of 191 pregnant women, stratified by health units. The pregnancy was categorized into planned and unplanned, and sociodemographic characteristics constituted the independent variables. The magnitude of the associations was obtained by the ratio of prevalence and confidence intervals (95%), estimated by Poisson regression, with the level of statistical significance, 5% (p < 0.05). RESULTS: The prevalence of unplanned pregnancy was 66.5%; age, marital status, occupational situation, and income exhibited statistically significant proportional differences with regard to type of pregnancy. There was a positive association between age, marital status and occupation with unplanned pregnancy. CONCLUSIONS: The results reaffirm the association between unplanned pregnancy and socioeconomic conditions, and the ESF appears to have been effective in ensuring the reproductive rights of women.
Revista Brasileira de Ginecologia e Obstetrícia | 2016
Ana Paula Vidal dos Santos; Edméia de Almeida Cardoso Coelho; Maria Enoy Neves Gusmão; Diorlene Oliveira da Silva; Patrícia Figueiredo Marques; Mariza Silva Almeida
Purpose To verify sociodemographic factors associated with the occurrence of abortion in women of reproductive age, in areas covered by the Family Health Strategy (FHS), a program from the Brazilian Ministry of Health. Methods A cross-sectional study using household surveys of 350 women aged 15 to 49. The report of abortion was a variable indicator, and sociodemographic aspects were covariables. Prevalence ratio (PR) and respective 95% confidence intervals were used to estimate the magnitude of the associations. Results There were associations among age, civil status, race/color, and religion; an increase in the prevalence of lower levels of education, age less than 20, and student status were protective factors. Conclusion The association between sociodemographic characteristics and the report of abortion is attributed to the fact that there is a lack at the FHS in the availability of fundamental healthcare services for young women; these findings call for action to guarantee the access to information about contraceptives and guidance to decrease the risk of unplanned pregnancies and abortions.
Acta Paulista De Enfermagem | 2012
Edméia de Almeida Cardoso Coelho; Maria Lindiane de Souza Andrade; Laís Vilanova Tavares Vitoriano; Jussilene de Jesus Souza; Diorlene Oliveira da Silva; Maria Enoy Neves Gusmão; Enilda Rosendo do Nascimento; Mariza Silva Almeida
OBJECTIVE: To estimate the prevalence of unplanned pregnancy and verify its association with sociodemographic factors in women enrolled in the FHS - Family Health Strategy, in suburban sanitary Salvador - BA. METHODS: A quantitative, exploratory, cross-sectional study, with a sample of 191 pregnant women, stratified by health units. The pregnancy was categorized into planned and unplanned, and sociodemographic characteristics constituted the independent variables. The magnitude of the associations was obtained by the ratio of prevalence and confidence intervals (95%), estimated by Poisson regression, with the level of statistical significance, 5% (p < 0.05). RESULTS: The prevalence of unplanned pregnancy was 66.5%; age, marital status, occupational situation, and income exhibited statistically significant proportional differences with regard to type of pregnancy. There was a positive association between age, marital status and occupation with unplanned pregnancy. CONCLUSIONS: The results reaffirm the association between unplanned pregnancy and socioeconomic conditions, and the ESF appears to have been effective in ensuring the reproductive rights of women.
American Journal of Infection Control | 2004
Maria Enoy Neves Gusmão; Inês Dourado; Rosimeire Leovigildo Fiaccone
Revista Baiana de Enfermagem | 2012
Miriam Souza Neri; Jeane Freitas de Oliveira; Enilda Rosendo do Nascimento; Maria Enoy Neves Gusmão; Vanessa dos Santos Moreira
Revista Baiana de Enfermagem | 2013
Joicineide Cupertino Conceição; Maria Enoy Neves Gusmão; Simone Santos Souza; Nadirlene Pereira Gomes
Vigilância Sanitária em Debate: Sociedade, Ciência & Tecnologia | 2017
Eliana Auxiliadora Magalhães Costa; Lícia Lígia Moreira; Maria Enoy Neves Gusmão
Revista Baiana de Saúde Pública | 2017
Eliana Auxiliadora Magalhães Costa; Lícia Lígia Moreira; Maria Enoy Neves Gusmão
Online Brazilian Journal of Nursing | 2016
Fernanda Matheus Estrela; Nadirlene Pereira Gomes; Maria Enoy Neves Gusmão; Josinete Gonçalves dos Santos Lírio; Telmara Menezes Couto; Tamiris Pereira Cerqueira