Infants' Dietary Pattern Characterized by Ultraprocessed Foods Is Associated With Rapid Weight Gain and Overweight/Obesity Risk: National Health and Nutrition Examination Survey 2009-2018.

BACKGROUND: Global trends toward childhood obesity have been associated with several factors, including suboptimal infant feeding practices, the increasing availability of ultraprocessed foods in the world's food supply, and the corresponding changes in children's dietary patterns. OBJECTIVE: To describe infants' dietary patterns and assess their associations with weight status outcomes in a nationally representative sample of US infants. DESIGN: Cross-sectional analyses were performed on data collected from infants participating in the 2009-2018 National Health and Nutrition Examination Survey. PARTICIPANTS/SETTING: Participants included 744 infants aged 6 to 12 months who had data from at least 1 day of valid 24-hour dietary recall data. MAIN OUTCOME MEASURES: Rapid weight gain and overweight/obesity risk. STATISTICAL ANALYSES PERFORMED: Principal component analysis was used to identify dietary patterns considering the energy intake of 39 Nova food subgroups (expressed in calories per day), including breast milk. Associations were evaluated using logistic regression adjusted for potential confounders. RESULTS: A total of 42% infants experienced rapid weight gain, and 33% were at risk of overweight/obesity. Most infants (65.5%) were started on solid foods early. Three main dietary patterns were derived. The first pattern, labeled Natural or Minimally Processed Foods, had positive loadings for a variety of natural or minimally processed foods, some processed culinary ingredients, and a few processed and ultraprocessed foods. The second pattern, labeled Infant Formula, had high negative loading for breast milk, and high positive loading for infant formula and breakfast cereal. The third pattern, labeled Ultraprocessed Foods, had negative loadings for natural or minimally processed foods and processed culinary ingredients, positive loadings for other processed foods and for a variety of ultraprocessed foods, and negative loading for infant formula. Infants who adhere to the Ultraprocessed Foods dietary pattern were more likely to present rapid weight gain (adjusted odds ratio 1.3, 95% CI 1.1 to 1.5) and overweight/obesity risk (adjusted odds ratio 1.2, 95% CI 1.0 to 1.4). CONCLUSIONS: Higher adherence to a dietary pattern characterized by ultraprocessed foods was associated with a greater likelihood of both rapid weight gain and overweight/obesity risk early in life. Promoting breastfeeding and increasing consumption of unprocessed/minimally processed foods during early infancy while restricting ultraprocessed foods are key components to reducing the growing burden of childhood obesity.

Exclusive breastfeeding changes in Brazil attributable to pacifier use.

BACKGROUND: Identifying key interventions to increase exclusive breastfeeding duration has been a challenge. Pacifier use has been associated with exclusive breastfeeding discontinuation in Brazil. However, the proportion of the improvement in exclusive breastfeeding duration attributable to pacifier use remains unknown. RESEARCH AIM: Quantify the proportion of increases in exclusive breastfeeding prevalence that can be attributed to reduced pacifier use over time. METHODS: Secondary data analyses of two nationally representative cross-sectional surveys conducted in States' capitals in 1999 and in 2008 (N = 42,395 Brazilian infants under 6 months of age). We estimated the fraction of exclusive breastfeeding prevalence improvements that could be attributed to pacifier use based on multilevel regression analysis. RESULTS: From 1999 to 2008, there was an increase of 15.2 percentage points in exclusive breastfeeding prevalence and a decrease of approximately 17 percentage points in the prevalence of pacifier use among infants under 6 months. Reduction in pacifier use explained an increase in 5.5 percentage points' exclusive breastfeeding rates. If pacifier use were to decrease from 41.6% (prevalence in 2008) to 14% (as found in New Zealand), there would be an expected additional increase in exclusive breastfeeding of approximately 12 percentage points. CONCLUSIONS: About one-third of the improvements in EBF prevalence observed in Brazil over a decade can be attributed to the corresponding decline in pacifier use.

Use of a predictive model for food insecurity estimates in Brazil / Uso de un modelo estadístico predictivo para inseguridad alimentaria grave en Brasil

In 2004 the National Household Survey (Pesquisa Nacional por Amostras de Domicílios - PNAD) estimated the prevalence of food and nutrition insecurity in Brazil. However, PNAD data cannot be disaggregated at the municipal level. The objective of this study was to build a statistical model to predict severe food insecurity for Brazilian municipalities based on the PNAD dataset. Exclusion criteria were: incomplete food security data (19.30%); informants younger than 18 years old (0.07%); collective households (0.05%); households headed by indigenous persons (0.19%). The modeling was carried out in three stages, beginning with the selection of variables related to food insecurity using univariate logistic regression. The variables chosen to construct the municipal estimates were selected from those included in PNAD as well as the 2000 Census. Multivariate logistic regression was then initiated, removing the non-significant variables with odds ratios adjusted by multiple logistic regression. The Wald Test was applied to check the significance of the coefficients in the logistic equation. The final model included the variables: per capita income; years of schooling; race and gender of the household head; urban or rural residence; access to public water supply; presence of children; total number of household inhabitants and state of residence. The adequacy of the model was tested using the Hosmer-Lemeshow test (p=0.561) and ROC curve (area=0.823). Tests indicated that the model has strong predictive power and can be used to determine household food insecurity in Brazilian municipalities, suggesting that similar predictive models may be useful tools in other Latin American countries.

La Investigación Nacional por Muestreo de Domicilios de 2004 (PNAD), generó estimativas de la prevalencia de inseguridad alimentaria y nutricional en Brasil. Todavía las informaciones de PNAD no pueden ser desagregadas para las municipalidades. El objetivo de este estudio fue construir un modelo estadístico predictivo para inseguridad alimentaria grave en las municipalidades empleando la base de datos PNAD. Los criterios de exclusión fueran: hogares con datos incompletos (19.30%), informantes menores de 18 anos (0.07%), hogares colectivos (0.05%) y hogar con jefe indígena (0.19%). El modelaje fue realizado en 3 etapas, la primera fue la selección de las variables relacionadas con inseguridad alimentar grave mediante regresión logística única. Fueron escogidas variables presentes en PNAD y en el Censo Demográfico de 2000. Por último se realizó regresión logística múltiple, siendo retiradas las variables no significativas según el Odds Ratio ajustado. Fue usado el test de Wald para evaluar la significancia estadística de los coeficientes en la ecuación logística. El modelo final incluye las variables: renta domiciliar per cápita, años de escolaridad, raza y sexo del jefe de familia, localización urbana o rural del domicilio, disponibilidad de red de agua potable, presencia de niños, total de miembros en la familia y provincia de residencia. Se verificó la adecuación del modelo usando el test de Hosmer-Lemeshow (p=0,56) y la Curva de ROC (área=0,823). Los testes indican que el modelo tiene gran poder predictivo para estimar la inseguridad alimentaria grave en municipalidades brasileñas, sugiriendo que modelos predictivos similares puedan ser herramientas útiles en otros países Latinoamericanos.

Social support and infant malnutrition: a case-control study in an urban area of Southeastern Brazil.

The relationship between malnutrition and social support was first suggested in the mid-1990s. Despite its plausibility, no empirical studies aimed at obtaining evidence of this association could be located. The goal of the present study was to investigate such evidence. A case-control study was carried out including 101 malnourished children (weight-for-age National Center for Health Statistics/WHO 5th percentile) aged 12-23 months, who were compared with 200 well-nourished children with regard to exposure to a series of factors related to their social support system. Univariate and multiple logistic regressions were carried out, odds ratios being adjusted for per capita family income, mother's schooling, and number of children. The presence of an interaction between income and social support variables was also tested. Absence of a partner living with the mother increased risk of malnutrition (odds ratio 2.4 (95 % CI 1.19, 4.89)), even after adjustment for per capita family income, mother's schooling, and number of children. The lack of economic support during adverse situations accounted for a very high risk of malnutrition (odds ratio 10.1 (95 % CI 3.48, 29.13)) among low-income children, but had no effect on children of higher-income families. Results indicate that receiving economic support is an efficient risk modulator for malnutrition among low-income children. In addition, it was shown that the absence of a partner living with the mother is an important risk factor for malnutrition, with an effect independent from per capita family income, mother's schooling, and number of children.

Postpartum weight retention among women in Rio de Janeiro: a follow-up study.

This study presents follow-up results on trends in postpartum weight retention among women in the city of Rio de Janeiro, Brazil, at 0.5, 2, 6, and 9 months postpartum. The outcome variable, weight retention, was calculated by subtracting the reported pre-pregnancy weight from the observed weight at each interview. Statistical analyses used means and a 95% confidence interval for weight retention. Mean weight retention was 4.7, 4.1, 3.4, and 3.1kg at 0.5, 2, 6 and 9 months postpartum, respectively. At completion of the study, the largest weight retention was observed in women over 30 years of age (4.2kg) and with 30% or more of body fat (5.9kg). The rate of reduction in weight retention was 0.4kg/month, 0.2kg/month, and 0.1kg/ month for the periods 0.5-2, 2-6, and 6-9 months, respectively. The largest reductions were observed among young, single women and those with < 30% of body fat at baseline. The results suggest that variables such as age, parity, schooling, and body fat may be important predictors of postpartum weight retention.

Postpartum weight retention among women in Rio de Janeiro: a follow-up study

This study presents follow-up results on trends in postpartum weight retention among women in the city of Rio de Janeiro, Brazil, at 0.5, 2, 6, and 9 months postpartum. The outcome variable, weight retention, was calculated by subtracting the reported pre-pregnancy weight from the observed weight at each interview. Statistical analyses used means and a 95 percent confidence interval for weight retention. Mean weight retention was 4.7, 4.1, 3.4, and 3.1kg at 0.5, 2, 6 and 9 months postpartum, respectively. At completion of the study, the largest weight retention was observed in women over 30 years of age (4.2kg) and with 30 percent or more of body fat (5.9kg). The rate of reduction in weight retention was 0.4kg/month, 0.2kg/month, and 0.1kg/ month for the periods 0.5-2, 2-6, and 6-9 months, respectively. The largest reductions were observed among young, single women and those with < 30 percent of body fat at baseline. The results suggest that variables such as age, parity, schooling, and body fat may be important predictors of postpartum weight retention