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2017, Number 6

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Medisur 2017; 15 (6)

Relationship between socio-demographic conditions and knowledge about the pre-conception risk in women in childbearing age

Cáceres CAC, García NRD, San Juan BMA
Full text How to cite this article

Language: Spanish
References: 0
Page: 807-818
PDF size: 389.84 Kb.


Key words:

risk, risk factors, prenangcy, family planning.

ABSTRACT

Foundation: decreasing infant and maternal mortality in one of priorities in Ecuador, therefore controlling pre conception risk factors are of great importance.
Objective: to determine the relationship between the socio-demographic conditions and the knowledge about the pre conception risks in women at childbearing age.
Methods: descriptive, correlational study, conducted from January to June 2016, which included 50 women of childbearing age from Barrio Lourdes, Riobamba, Ecuador. A structured interview was applied, validated by experts, who measured socio-demographic conditions and knowledge in the following dimensions: adequate age to get pregnant, unfavorable obstetric history; intergenesic age, use of contraceptives, concept of pre-conception risk, ideal weight, chronic diseases and pregnancy, toxic habits and pregnancy. Fisher’s statistical test and Chi square were used to determine the relationship between the variables with a significance level of p <0.05.
Results: 52% of the women were between 25-34 years old, 82% are mestizas; 40% married; 50% reached the baccalaureate; 50% were housewives and 72% had a regular socioeconomic level. Unsatisfactory knowledge predominated (76%); the concept dimension of pre-conception risk and ethnicity (p = 0.03), marital status and occupation with the knowledge of the toxic habits dimension (p = 0.018) and economic level (p = 0.001) were correlated. In addition, there was a relationship between the ideal weight and age dimension (p = 0.019).
Conclusions: ethnicity was the socioeconomic condition that most influenced the low knowledge about pre conception risk; marital status, occupation, economic level and age influenced knowledge about risk factors.





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Medisur. 2017;15