RESUMEN
BACKGROUND: In socially vulnerable populations, evidence is needed regarding the role of maternal nutritional status on child weight during the first 2 years of life. OBJECTIVES: We aimed to assess the association of pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) with offspring BMI-for-age z-scores (BAZs) during the first 2 years of life. METHODS: A population-based birth cohort study was conducted with 900 mother-child pairs. Pre-pregnancy weight and weight at delivery were collected from medical records, and anthropometric data were measured at birth and at 6-month, 1-year and 2-year follow-up visits. Linear regression and linear mixed-effect models assessed associations with pre-pregnancy BMI, GWG and BAZ during the first 2 years of life. RESULTS: Pre-pregnancy overweight and obesity and excessive GWG were positively associated with BAZ at birth and at 1- and 2-year follow-up visits. There were no significant additional BAZ changes per year based on the exposures up to age 2 years. CONCLUSIONS: Elevated maternal pre-pregnancy BMI and GWG were associated with a child's higher BAZ at birth, and these differences remained constant throughout the first 2 years of life in Amazonian children. These findings highlight the importance of promoting adequate maternal weight before pregnancy and during prenatal care also in socially vulnerable populations.
Asunto(s)
Ganancia de Peso Gestacional , Embarazo , Recién Nacido , Femenino , Humanos , Preescolar , Índice de Masa Corporal , Estudios de Cohortes , Cohorte de Nacimiento , Obesidad , Sobrepeso/epidemiologíaRESUMEN
BACKGROUND: Despite substantial evidence on the effectiveness of non-pharmaceutical interventions (NPIs), there is still limited evidence on the individual effects of different types of NPIs on social distancing, especially in low- and middle-income countries. METHODS: We used panel data analysis to evaluate the effects of mandatory social distancing rules on social distancing. We obtained data on six different categories of mandatory restrictions implemented in Brazil, by date and state, from state government gazettes (diários oficiais). We then defined a social distancing rules index (SDI) to measure the strictness of social distancing rules, assigning each a value of 2, 1, or 0 depending on whether restrictions were full, partial, or very limited/non-existent at every given time. A separate variable was defined for masking mandates. We tested whether the following variables were associated to social distancing: SDI, masking mandates, COVID-19 incidence, population socioeconomic status, and political orientation. Data is for each day between March 11th and November 10th, 2020 in the 27 Brazilian states (N = 6615). FINDINGS: Social distancing increased when social distancing rules were stricter, and decreased when the use of face masks became mandatory. The effects of different types of restrictions varied: suspending in-person classes and gatherings, religious/sport/cultural activities had a greater effect than other types of restrictions. Also, the effect of social distancing rules on people's behaviour decreased over time, especially when rules were stricter. INTERPRETATION: Mandatory social distancing rules must be adopted to increase social distancing. Stricter rules have a higher impact, but result in decreased compliance over time. Policymakers should prioritize more targeted policies.
Asunto(s)
COVID-19/prevención & control , Distanciamiento Físico , Brasil/epidemiología , COVID-19/epidemiología , Humanos , Programas Obligatorios/estadística & datos numéricos , Modelos Estadísticos , Política , Factores SocioeconómicosRESUMEN
Lacking national direction, in 2020 Brazilian states adopted a variety of nonpharmaceutical interventions to combat COVID-19, adjusting their stringency over time. We took advantage of this variation across states and over time to estimate the independent effect of seven interventions on the growth rate ratios of COVID-19 cases and deaths. Panel regressions using daily data from March to December 2020 for twelve states show that two interventions, suspension of public events and masking mandates, significantly reduced the spread of the disease. Partial and full suspension of public events were equally effective. Full masking mandates were more effective than partial ones. Together, suspension of public events and full masking mandates reduced the growth rate ratios of both cases and deaths almost to 1, the point at which cases and deaths are no longer increasing. Policy makers may find this analysis useful as they aim to choose the most effective nonpharmaceutical interventions to reduce COVID-19's social and economic burdens.