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Revista de la Facultad de Medicina Humana
Print version ISSN 1814-5469On-line version ISSN 2308-0531
Abstract
MAURICIO, Kimberley; HUAMAN, Rubén and ESPINOZA, Rubén. Factors associated with postpartum complications according to a demographic and family health survey in Peru 2019-2020. Rev. Fac. Med. Hum. [online]. 2023, vol.23, n.1, pp.61-72. Epub Jan 25, 2023. ISSN 1814-5469. http://dx.doi.org/10.25176/rfmh.v22i4.4772.
Introduction:
Postpartum complications are important health problems in Peru, therefore it is necessary to determine their associated factors.
Objectives:
Determine the factors associated with postpartum complications in Peru during the years 2019 and 2020.
Methods:
Cross-sectional, analytical study, carried out from the analysis of the Demographic and Family Health Survey (ENDES) 2019-2020, of Peru. The unit of analysis was women between the ages of 12 and 49 residing in Peru in the years 2019-2020. Multivariate analysis was performed using Poisson regression with robust variance.
Results:
It is evidenced that the age of 20 to 35 years has a prevalence ratio of 1.12 of ending in complications after childbirth (PRa: 1.12, 95% CI: 1.07 to 1.18) compared to women who have 36 years and over. Having complications during childbirth has a 2.75 times higher prevalence of complications after childbirth (APR: 2.75, 95% CI: 2.64 to 2866). Having a degree of primary (RPa: 0.90, 95% CI: 0.84 to 0.96), secondary (RPa: 0.94, 95% CI: 0.89 to 0.98) education decreases the probability of having complications after childbirth compared to women with a higher level of education. and having a single marital status (APR 0.85, 95% CI: 0.76 to 0.94) decreases the probability of having complications after childbirth, compared to cohabitants.
Conclution:
The prevalence of postpartum complications is regular. The factors associated with postpartum complications are: age, educational level, marital status and complications during childbirth.
Keywords : Puerperal Disorders; Postpartum Period; Postpartum Hemorrhage; Puerperal Infection (Source: MeSH NLM)..