ABSTRACT
The aim of this study was to evaluate the probability of buying food away from home according to the type of household using the logit model, as well as the sociodemographic characteristics of the heads of household, and how much income expenditure represents. A cross-sectional study was carried out using the National Household Survey (ENAHO) 2019 database. After joining the database, the household type variables were created. To calculate the probability with the "logit" model of purchase, the variables-family size, income, types of household, and total expenditure-were selected as a measure of the purchasing power of the family. A statistically significant association (p < 0.05) was found between the probability of consumption and the variables: age of household members, predominance, nuclear without children-married, nuclear with children-cohabitant, nuclear with children-widowed, nuclear with children-separated, extended, compounded, poor not extreme, and not poor. The bulk of families was represented by nuclear families (61.97%). The highest expenditure in the CFAH was for families defined as composite with a yearly average of USD 1652.89 (equivalent to PEN 5520.67). Observing the expenditure on food consumed outside the home through the composition of households can allow a better approach to offer educational measures. This information can be helpful to developers of educational issues.
ABSTRACT
OBJECTIVE: To describe the clinical characteristics and sociodemographic factors associated with COVID-19 among pregnant women in a maternal and children's hospital in Lima, Peru. METHODS: Quantitative observational study. The population under study consisted of pregnant women who attended an emergency room and had a COVID-19 test. These women were assessed for age, gestational age, place of origin, occupation, education, marital status, number of children, previous body mass index, gestational body mass index, tetanus vaccination, prenatal controls, and hemoglobin. After bivariate analysis, a generalized linear regression model was applied. RESULTS: We included 200 women aged between 18 and 34 years (84.5%) with a median gestational age of 36 weeks. More than half were from Lima (52.5%), most were housewives (79%), had high school education (71.9%), and had a cohabiting marital status (60%). The COVID-19 test positivity was 31.5% by rapid tests. Pregestational body mass index assessment showed that 36.7% of normal weight, 38,1% of overweight, and 30.3% of obese pregnant women had COVID-19 infection. 39.7% of patients with hemoglobin levels greater than or equal to 11 g/dL, 21.2% of patients with values between 10 and 10.9 g/dL, and 20% of patients with values between 7 and 9.9 g/dL had COVID-19 infection. The prevalence ratio (with a 95% confidence interval) found that cohabitation was associated with a lower risk of having COVID-19 infection in pregnant women (prevalence ratio: 0.41, p < 0.001). CONCLUSION: Cohabiting pregnant women had a lower risk of COVID-19 infection compared with other marital statuses. Further research is needed to evaluate COVID-19 associated factors in pregnant women and possible sociodemographic or economic factors behind cohabiting marital status association among this population.
OBJETIVO: Describir las características clínicas y factores sociodemográficos asociados a COVID-19 en gestantes de un hospital materno infantil de Lima, Perú. MÉTODO: Estudio cuantitativo observacional. La población estuvo compuesta por gestantes atendidas en la unidad de emergencia, con la prueba para el diagnóstico de COVID-19. A las madres se les valoró edad, edad gestacional, lugar de procedencia, ocupación, nivel de estudios, estado civil, número de hijos, índice de masa corporal previa, índice de masa corporal de la gestación, vacuna antitetánica, controles prenatales, y hemoglobina. Después de un análisis bivariado se aplicó un modelo de regresión lineal generalizado. RESULTADOS: Incluimos a 200 mujeres, con edades de 18 a 34 años (84,5%). Más de la mitad procedía de Lima (52,5%), 79% tenía como ocupación el ser ama de casa, 71,9% alcanzó estudios secundarios y 60% registró estado civil de conviviente. La incidencia de COVID-19 fue de 31,5% mediante pruebas rápidas. La mediana de edad gestacional al momento de la evaluación para COVID-19 fue de 36 semanas. El índice de masa corporal pregestacional, comparado entre las gestantes con COVID-19 y las que no lo tuvieron, fue normal en 36,7 y 63,3%. Se detectó sobrepeso en 38,1 y 61,9% de las pacientes, obesidad en 30,3 y 69,7%, respectivamente. Los niveles de hemoglobina superiores o iguales a 11 gramos por decilitro se reportaron en 39,7 y 60,3% en cada grupo; hemoglobina entre 10 y 10,9 gramos por decilitro, en 21,2 y 78,8%; y hemoglobina entre 7 y 9,9 gramos por decilitro, en 20 y 80%, respectivamente. La razón de prevalencia con un intervalo de confianza al 95%, identificó al estado civil conviviente asociado a menor riesgo de tener COVID-19 en gestantes (razón de prevalencia: 0,41, valor p < 0,001). CONCLUSIÓN: Las gestantes cuyo estado civil fue de conviviente presentaron menor riesgo de experimentar COVID-19. Es necesario seguir estudiando los factores que se asocian a la presencia de COVID-19 en gestantes, así como posibles factores sociodemográficos o económicos detrás del estado civil conviviente.