Tendência temporal (2008-2018) da prevalência de excesso de peso em lactentes e pré-escolares brasileiros de baixa renda

[Temporal trend in the prevalence of malnutrition in children under five assisted by the Brazilian Income Transfer Program (2008-2019)]

This study aimed to analyze the temporal trend of malnutrition in children aged under five years assisted by the Brazilian Income Transfer Program from 2008 to 2019, by exploring regional inequalities and seeking to determine the impact of the economic and political crises aggravated in 2014, and the government's adherence to fiscal austerity policies on the trend. The analyses were performed using aggregated data from infants (0-23 months) and preschoolers (24-59 months), extracted from the Brazilian Food and Nutritional Surveillance System (SISVAN) assisted by the Brazilian Income Transfer Program (n = 34,272,024). Trends were analyzed using generalized linear models with age-specific mixed effects (negative binomial distribution and log linkage function). The regional inequalities were analyzed based on the grouping of Federative Units according to the Social Vulnerability Index (SVI) and the influence of crises and austerity policies on the prevalence of malnutrition by the interaction between "year" and "crisis" (2008-2013 vs. 2014-2019). There was a reduction in the prevalence of child malnutrition until mid-2013, when the trends became stationary for preschoolers and upward for infants. There was also a higher risk of malnutrition in Federative Units with medium- and high-social vulnerability, when compared to those with low-social vulnerability. The inflection points in the trends corroborate the hypothesis that the political and economic crises, and the governmental responses to these crises, negatively impacted the nutritional status of children in poverty and extreme poverty in Brazil.

[Quality of anthropometric data of children under 5 years in the Brazilian National Food and Nutrition Surveillance System, 2008-2020]

The planning, monitoring, and evaluation of food and nutrition actions depend on reliable estimates based on adequate anthropometric data. The study aimed to analyze the quality of anthropometric data of children aged under 5 years in the Brazilian National Food and Nutrition Surveillance System (SISVAN) from 2008 to 2020. The sample comprised 23,453,620 children aged under 5 years. Initially, we evaluated the distribution of missing values and values outside the spectrum of the instrument, and calculated the digit preference index for weight and height. The nutritional indexes height for age (HAZ), weight for age (WAZ), and body mass index for age (BAZ) were calculated according to the World Health Organization 2006 child growth standards. Then, we identified the biologically implausible values (BIV) and calculated the standard deviation (SD) of the nutritional indexes. For each municipality, we calculated the mean and SD of HAZ and WAZ; and plotted the SD values as a function of the mean. In all Federative Units, the digit preference index reached a minimum value of 80 for height and 20 for weight. For the three nutritional indexes, there was a reduction in the frequency of BIV in the 2008-2020 period. Even after the exclusion of BIV, we identified high variability for the three nutritional indexes. The indicators evaluated showed low quality of measurement, especially in the North and Northeast regions. Our results indicate insufficient quality of anthropometric data in children aged under 5 years, and reinforce the need to invest in actions to improve the collection and recording of anthropometric information.

[The Food and Nutrition Surveillance System (SISVAN) as a tool to monitor the nutritional status of children and adolescents in Brazil]

In Brazil, the Food and Nutrition Surveillance System (SISVAN) is the main tool in collecting and consolidating information on the nutritional status and the feeding habits of the population encompassed by primary health care services of the country. This study explores data from SISVAN to analyze the system's potential as a tool for monitoring the nutritional status of children and adolescents in the country. We seek to evaluate the evolution of the system's coverage rate in relation to the population regarding different age groups and geographic regions, how this coverage rate varies according to the characteristics of the Brazilian municipalities, and to what extent the results from SISVAN differ from representative sample surveys of the population. We present four main results. First, we documented that from 2008 to 2019, SISVAN significantly expanded its coverage; with a significant decrease, however, in 2020, reaching levels similar to those at the beginning of the series. Second, our results indicate that coverage is not homogeneous, being higher in the North and Northeast regions and among underage children. Third, there is a systematic association between the characteristics of the municipalities and the level of coverage of the system. Finally, SISVAN results differ from those presented by surveys representative of the general population. Jointly, the results of this study point to the need to refine the nutritional surveillance instruments on children and adolescents in Brazil.

Prevalence of low and high BMI during the first 3 years of life: using New Zealand national electronic health data

BACKGROUND

Data on body mass index (BMI) in infants and toddlers worldwide are lacking, relative to older age groups.

OBJECTIVES

To describe the growth (weight, length/height, head circumference, and BMI z-score) of New Zealand children under the age of 3 years, and examine differences by sociodemographic characteristics (sex, ethnicity, and deprivation).

METHODS

Electronic health data were collected by Whānau Āwhina Plunket, who provide free 'Well Child' services for approximately 85% of newborn babies in New Zealand. Data from children under the age of 3, who had their weight and length/height measured between 2017 and 2019, were included. The prevalence of BMI (WHO child growth standards) ≤2nd, ≥85th, and ≥95th percentiles were determined.

RESULTS

Between 12 weeks and 27 months of age, the percentage of infants ≥85th BMI percentile increased from 10.8% (95% CI, 10.4%-11.2%) to 35.0% (34.2%-35.9%). The percentage of infants with high BMI (≥95th percentile) also increased, particularly between 6 months (6.4%; 95% CI, 6.0%-6.7%) and 27 months (16.4%; 15.8%-17.1%). By contrast, the percentage of infants with low BMI (≤2nd percentile) appeared steady between 6 weeks and 6 months, and declined at older ages. The prevalence of infants with a high BMI appears to increase substantially from 6 months across sociodemographic characteristics, with a widening prevalence gap by ethnicity occurring from 6 months, mirroring that of infants with a low BMI.

CONCLUSIONS

The number of children with high BMI increases rapidly between 6 months and 27 months of age, suggesting this is an important timeframe for monitoring and preventive action. Future work should investigate the longitudinal growth trajectories of these children to determine if any particular patterns predict later obesity and what strategies could effectively change them.

Early-life determinants of excessive weight gain among low-income children: Examining the adherence of theoretical frameworks to empirical data using structural equation modelling

BACKGROUND

Although childhood obesity is increasing in low-income regions, theoretical models cannot be adequately applied due to the lack of prospective studies with under 2-year-old children from impoverished populations.

OBJECTIVE

To analyse direct and indirect effects of environmental, maternal, and individual factors on excess weight gain among low-income children during the first year of life.

METHODS

We analysed data from a prospective birth cohort conducted in Brazil, which followed infants at birth, 3rd, 6th, and 12th month of life (n = 205). The weight-for-age z-score was used to calculate the conditional weight gain (CWG). Direct and indirect effects on CWG were estimated using structural equation modelling.

RESULTS

Children's consumption of ultra-processed food (UPF) ≥1 time/day, breastfeeding duration >90 days, and maternal obesity showed a statistically significant direct effect on children's CWG. We observed a positive indirect pathway linking the maternal intake of UPF ≥4 times/day to the CWG, given its direct effect on the infant's UPF consumption.

CONCLUSIONS

In this low-income population, women who were frequent users of UPF tended to introduce these products more frequently into their children's diets. The early trade-off trend in children's diet between breastfeeding and UPF was the leading cause of excessive weight gain.