RESUMO
OBJECTIVE: To analyze municipal- and individual-level factors related to the prevalence of teenage pregnancy in Colombia during 2015. METHODS: We analyzed 660,767 births registers, of which 21.5% recorded adolescent women. At an individual level, marital status, educational level, area of residence, and access to health services were included in the analysis. At the contextual level, Colombian municipal socioeconomic characteristics and proxies of violence and poverty were analyzed. A multilevel logistic regression model was generated with a Markov Chain Monte Carlo estimation method using 100,000 simulations in MLwiN 2.32 software. RESULTS: Multilevel modeling revealed an increased risk of teenage pregnancy in municipalities with the highest numbers of people expelled by forced displacement (OR 1.21; CI 95%, 1.13-1.29) and with unsatisfied basic needs (OR 1.09; CI 95%, 1.02-1.17). At an individual level, the majority of the teenage women were unmarried and/or had an unstable partnership, a low level of educational, a subsidized health regimen, and resided in the municipal seat. CONCLUSIONS: Municipal contextual variables related to poverty, violence, and social inequity contribute to an increase in teenage pregnancy in Colombia. At the individual level, marital status, educational level, and area of residence is associated with teenage pregnancy. It is therefore imperative to include municipal contextual characteristics in the design of the national political agenda.
Assuntos
Gravidez na Adolescência/prevenção & controle , Gravidez na Adolescência/psicologia , Adolescente , Criança , Colômbia , Feminino , Mapeamento Geográfico , Habitação , Humanos , Modelos Logísticos , Análise Multinível , Gravidez , Gravidez na Adolescência/estatística & dados numéricos , Prevalência , Pesquisa Qualitativa , Fatores Socioeconômicos , Adulto JovemRESUMO
Background: Incidence data of respiratory syncytial virus-associated lower respiratory tract illness (RSV-LRTI) are sparse in low- and middle-income countries (LMICs). We estimated RSV-LRTI incidence rates (IRs) in infants in LMICs using World Health Organization case definitions. Methods: This prospective cohort study, conducted in 10 LMICs from May 2019 to October 2021 (largely overlapping with the coronavirus disease 2019 [COVID-19] pandemic), followed infants born to women with low-risk pregnancies for 1 year from birth using active and passive surveillance to detect potential LRTIs, and quantitative reverse-transcription polymerase chain reaction on nasal swabs to detect RSV. Results: Among 2094 infants, 32 (1.5%) experienced an RSV-LRTI (8 during their first 6 months of life, 24 thereafter). Seventeen (0.8%) infants had severe RSV-LRTI and 168 (8.0%) had all-cause LRTI. IRs (95% confidence intervals [CIs]) of first RSV-LRTI episode were 1.0 (.3-2.3), 0.8 (.3-1.5), and 1.6 (1.1-2.2) per 100 person-years for infants aged 0-2, 0-5, and 0-11 months, respectively. IRs (95% CIs) of the first all-cause LRTI episode were 10.7 (8.1-14.0), 11.7 (9.6-14.0), and 8.7 (7.5-10.2) per 100 person-years, respectively. IRs varied by country (RSV-LRTI: 0.0-8.3, all-cause LRTI: 0.0-49.6 per 100 person-years for 0- to 11-month-olds). Conclusions: RSV-LRTI IRs in infants in this study were relatively low, likely due to reduced viral circulation caused by COVID-19-related nonpharmaceutical interventions. Clinical Trials Registration: NCT03614676.