Análise dos factores determinantes à ocorrência da gravidez em adolescentes dos 10-19 anos no Norte de Moçambique

Abstract

Teenage pregnancy is considered a biological risk situation for both adolescents and new- borns. This is one of the problems that threaten the public health of society in general and requires special attention from the entities responsible for providing effective solutions to reduce it. This study with the theme ”Analysis of Determinant Factors the Occurrence of Adolescent Pregnancy in Northern Mozambique”is of extreme importance for society, as it provides relevant data on the determining factors for the prevalence of teenage pregnancy in Northern Mozambique. The main objective of this work was to analyze the factors that determine the occurrence of Pregnancy in adolescents aged 10-19 in northern Mo- zambique. For this purpose, a database referring to the IDS 2022-2023 was used, obtained from the Demographic Health Survey (DHS) website, https://www.dhsprogram.com, fol- lowing an authorization request made by the author. This is a quantitative and applied study whose sample is composed of the responses given by 3873 women aged 15-49. For data analysis, Pearson’s Chi-square test of independence was used to verify the associ- ation of variables and the multiple logistic regression technique to verify the influence of independent variables on the occurrence of GA. It was concluded that approximately 35.1% of women reside in urban areas and 64.9% reside in rural areas. After applying the multiple logistic regression technique, it was concluded that the determining factors for the occurrence of pregnancy in adolescents aged 10 − 19 in northern Mozambique are: area of residence, province, level of education, marital status, use of MC, age at first sexual intercourse, age at first menstruation and age at first cohabitation. The younger the age at first sexual intercourse and cohabitation, the greater the chances of becoming pregnant in adolescence. The data fit the model well, as according to the classification ta- ble, about 77.7% of the observations were correctly classified at a probability level of 50%.