Autoeficácia parental e duração do aleitamento materno exclusivo: uma coorte prospectiva
Description
This dataset derives from a prospective cohort study investigating the association between maternal and paternal breastfeeding self-efficacy, early breastfeeding performance (LATCH score), and maternity leave with the duration of exclusive breastfeeding (EBF) up to six months. Data were collected from mother–father dyads within 24 hours postpartum in a hospital setting with rooming-in care and followed monthly through standardized digital contact. The dataset includes sociodemographic, obstetric, and neonatal variables, as well as validated measures of maternal and paternal breastfeeding self-efficacy. Outcomes include time to interruption of exclusive breastfeeding and EBF status at six months. Data were cleaned and verified for consistency, and records with similar characteristics were manually checked and confirmed as distinct participants. No duplicate records were removed. Statistical analyses were conducted using Stata (version 19) and R (version 4.5.3), including descriptive analysis, Spearman correlation, Kaplan–Meier survival analysis, Cox proportional hazards regression, and logistic regression models. This dataset enables full reproducibility of the analyses presented in the associated manuscript and may support secondary analyses on determinants of breastfeeding duration and parental influences on infant feeding practices.
Files
Steps to reproduce
Steps to reproduce: Download the dataset file (dataset.xlsx) and open it in Stata (version 19) or R (version 4.5.3). Import the dataset: In Stata: import excel "dataset.xlsx", firstrow clear In R: df <- readxl::read_excel("dataset.xlsx") Inspect and validate the dataset structure, variable types, and missing values. Generate descriptive statistics for all variables: Continuous variables: mean and standard deviation Categorical variables: frequencies and proportions Perform correlation analysis using Spearman’s method between: Maternal self-efficacy Paternal self-efficacy LATCH score Duration of exclusive breastfeeding Define survival data: Time variable: duration of exclusive breastfeeding (months) Event variable: interruption of exclusive breastfeeding In Stata: stset tempo_ame, failure(evento==1) Estimate Kaplan–Meier survival curves and compare groups using the log-rank test. Fit Cox proportional hazards regression models to estimate hazard ratios (HR) and 95% confidence intervals, including: Maternal self-efficacy Paternal self-efficacy LATCH score Maternity leave Adjustment variables (maternal age, education, type of delivery) Perform logistic regression analysis for exclusive breastfeeding at 6 months (binary outcome). Set statistical significance at 5% and report all estimates with 95% confidence intervals. Reproduce tables and figures as presented in the manuscript: Table 1: Descriptive characteristics Table 2: Correlation matrix Table 3: Cox regression model Figure 1: Kaplan–Meier survival curve