OBJECTIVES: Early initiation of breastfeeding (EIBF) is one of the most cost-effective strategies to reduce neonatal mortality. We sought to determine the prevalence and determinants of EIBF in Peru.METHODS: We performed a cross-sectional analytical study of the 2018 Peruvian Demographic and Family Health Survey as a secondary data source. In total, 19,595 children born during the 5 years prior to the survey were included in the study. The dependent variable (EIBF status), socio-demographic variables, and pregnancy-related variables were analyzed using a multivariate logistic regression model to identify the determinants of EIBF.RESULTS: The prevalence of EIBF in the study population was 49.7%. Cesarean deliveries were associated with a lower likelihood of EIBF (adjusted odds ratio [aOR], 0.06; 95% confidence interval [CI], 0.05 to 0.07) than were vaginal deliveries. Newborns born at public health centers (aOR, 1.37; 95% CI, 1.15 to 1.65) had a higher rate of EIBF than those not born at public or private health centers. Women from the jungle region (aOR, 2.51; 95% CI, 2.17 to 2.89) had higher odds of providing EIBF than those from the coast. Mothers with more than a secondary education (aOR, 0.65; 95% CI, 0.55 to 0.76) were less likely to breastfeed during the first hour of the newborn’s life than women with primary or no education.CONCLUSIONS: More than half of Peruvian children do not breastfeed during the first hour after birth. The major determinants of EIBF status were the delivery mode and the region of maternal residence. Strategies are needed to promote early breastfeeding practices.

a Médico cirujano; b magíster en Gestión y Políticas Públicas.Los códigos incluidos en el artículo están disponibles en el repositorio GitHub: https://github.com/horaciochacon/Analisis-Endes-Peru y OSF: https://osf.io/RESUMEN La Encuesta Demográfica de Salud Familiar (ENDES) es una encuesta nacional de base poblacional con representatividad a nivel departamental y área de residencia, constituyéndose en una fuente de información del estado de salud de la población peruana. Con el objetivo de estandarizar su procesamiento y posterior reutilización por parte de la comunidad académica y otros actores interesados; documentamos el código para la manipulación, análisis y visualización de datos del cuestionario de salud de la ENDES 2017, mediante un ejemplo sobre prevalencia de hipertensión arterial y obesidad, utilizando el entorno y lenguaje de programación estadístico R. Se presenta y detalla secuencialmente el código en R, así como, el sustento teórico de la estructura de la encuesta para la manipulación de las bases de datos, considerando que la compleja estructura de la ENDES podría ser una potencial barrera que enfrentan los investigadores. Finalmente, este ejemplo puede servir de base para que se generen mayores estudios basados en la ENDES que sean relevantes para la toma de decisiones en salud pública. ABSTRACTThe Demographic and Family Health Survey (ENDES, in Spanish) is a national population-based survey with representation at the departmental level and area of residence, constituting a source of information on the health status of the Peruvian population. In order to standardize its processing and subsequent reuse by the academic community and other stakeholders, we documented the code for the manipulation, analysis, and visualization of data from the ENDES 2017 health questionnaire, through an example on the prevalence of hypertension and obesity, using the R statistical programming environment and language. The R code is presented and detailed sequentially, as well as the theoretical support of the survey structure for the manipulation of databases, considering that the complex structure of the ENDES could be a potential barrier faced by researchers. Finally, this example can serve as a basis for generating further studies based on the ENDES that are relevant to public health decision-making.

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Background Higher rates of maternal complications and deaths have been described in home births. However, few local studies have evaluated factors associated with home births in Peru. The study aims to determine the prevalence and factors associated with home birth in the Peruvian population. Methods A population-based analytical cross-sectional study was conducted using pooled data from the 2015–2017 Peruvian Demographic and Health Surveys. A logistic regression model was performed to calculate crude and adjusted odds ratios (aOR) for the association between sociodemographic and mother-related factors and home births. Results Seven out of every 100 births were home births. Living in a rural area (aOR = 3.10; 95% CI: 2.52–3.81), having a primary or secondary educational level, belonging to a medium or low wealth tertile, being from the rest of the Coast, Andean or Amazon regions, the second or greater number of birth order and considering the distance to the health center as problematic (aOR: 1.32; 95% CI: 1.17–1.48) were found to be associated with a higher probability of home births. Contrarily, being in the age groups of 25–34 and 35–39 years old, having a multiple pregnancy and giving birth to a medium (aOR: 0.88; 95% CI: 0.78–1.00) or large-sized newborn (aOR = 0.81; 95% CI: 0.72–0.93) were associated with a lower probability of presenting home births. Conclusions Sociodemographic factors are associated with home births in Peru. Further study of these factors is required to develop strategies specific to the needs of the population of childbearing age.

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Alcohol consumption is a public health problem in Peru, fostered by traditional practices, where promoting social interaction in celebrations, facilitating field work as a source of energy and warmth, and achieving objectives in certain labor negotiations, play an important role. However, research on the risk factors of binge drinking according to gender is limited. The study aim was to determine the factors associated with binge drinking in the Peruvian adult population by gender. An analytical study of secondary data from the 2018 Peruvian Demographic and Family Health Survey was conducted. The dependent variable was binge drinking in the last 30 days. Adjusted prevalence ratios (aPR) were estimated for the association between sociodemographic and health-related variables with binge drinking. A total of 32,020 adults were included. Binge drinking was found in 22.4%. Men (32.6%; 95% confidence interval [CI]: 31.4–33.8) presented a higher consumption pattern compared to women (12.8%; 95% CI: 12.0–13.6). For both genders, differences were found in binge drinking according to sociodemographic characteristics (age and wealth quintile was associated in both genders while the educational level was associated only for men, and ethnic self-identification and marital status for women) and health- characteristics related (health insurance, smoking in the last 30 days, overweight and obesity were associated in both genders). Several factors are associated with binge drinking according to gender in the Peruvian population, including age and education level among men, as well as marital status and ethnic self-identification among women.

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