INTRODUCTION
The COVID-19 pandemic has presented itself as one of the biggest health challenges around the world, especially in low- and middle-income countries like Brazil, which has become the epicenter of the pandemic1. The disease represented a critical global humanitarian situation whose course, severity and consequences on the health, economic, social, political and cultural dynamics of the population made the need to contain the infection of new individuals and reduce the social burden of the disease and its mortality a priority1,2. Thus, social isolation measures were adopted in many countries, however, with changes in people’s lives and society in general1-3.
In Brazil, progressive social distancing measures included raising awareness among the population to stay at home, closing schools, universities and workplaces, suspending some types of commerce, banning mass events and gatherings, restricting travel and public transport, limited access to recreational facilities and the prohibition of circulation on the streets, except for purchasing food and medicine or seeking health care. Some indicators suggest that there have been important reductions in the movement of people in parks and for recreation purposes, in commercial activities and at transport stations. In the state of Paraíba, acts of public authorities decreed social distancing measures related to the holding of events, in the area of education and the movement of people4.
Although scientific evidence suggests that measures of social distancing of the population, associated with the isolation of cases and the quarantine of contacts combined, had a positive impact on the expansion of the epidemic4, it is also recognized the possibility of losses in access to essential goods and services, with potential socioeconomic and behavioral repercussions and clinics, especially among socially vulnerable families3-5. Social distancing can result in reduced income and economic instability, adoption of unhealthy lifestyles (decreased physical activity, sleep disorders, and greater consumption of unhealthy foods, alcoholic beverages and tobacco) and increased stress6-8. Additionally, lost opportunities due to interruptions in education, health, nutrition and social protection services limited preventive care and the receipt of school meals, accentuating vulnerability8-10.
Collectively, these changes can have a lasting impact on health3, with marked increases in the risk of mental illness, food and nutritional insecurity, all forms of malnutrition and maternal and child morbidity and mortality7-11. The concern is of such magnitude that it is believed that there are possible intergenerational consequences for child growth and development, lifelong impacts on education, illness due to chronic diseases and human capital, and the risk of losing the progress made in the last decade on the child’s nutritional status9,10. According to estimates by the Food and Agriculture Organization of the United Nations, the number of undernourished people increased drastically from 82 to 132 million in 2020 due to the COVID-19 pandemic12.
While topics such as socioeconomic consequences13,14, lifestyles6,15, mental health14,16 and food and nutritional security11,17 have been the target of interest among researchers concerned about the repercussions of COVID-19, studies focusing on nutritional status have not received attention6,9,10,14. As it constitutes an important indicator of health18 and resilience against destabilization processes, such as that caused by the COVID-19 pandemic in which individual and community resilience emerged as the main defense resource7, knowing the relation between COVID-19 and nutritional status is of critical importance for decision-making on measures that can protect the post-COVID-19 population and mitigate negative effects of the disease.
Additionally, research on the effects of COVID-19 on children’s lives and health behaviors is still limited3,6. Families with children may be more impacted by COVID-19, with greater consequences on income, food security and poverty levels19,20. Evidence suggests that children’s absence from school and changes in routine, separation from loved ones and friends, and the worsening of family finances can cause changes in behavior and lifestyles, with unfavorable results in sleep quality, nutritional status and health in general6,21-23. Social isolation, absence from school life and more time at home have been related to an increase in sedentary behaviors, a decrease in physical activity and the consumption of foods with high energy density, with impacts on children’s overweight rates21,22.
Therefore, the objective is to evaluate the Body Mass Index (BMI) of preschool children during the COVID-19 pandemic.
METHODS
Study design
The data in this study come from a cohort of children created to prospectively investigate factors determining growth and development in the period from birth to one thousand days of life24. They were eligible to participate in the research children born in 2018 in Mamanguape General Hospital and residents of the county of Mamanguape, Paraíba, headquarters of said hospital, approximately 60 km from the city of João Pessoa, capital of the State. Of the total of 335 children eligible for the study, 95 were excluded (mother under 18 years of age, congenital malformation, twins, referred to the Neonatal Intensive Care Unit, neonatal death, birth before the 37th week of gestation, birth weight, birth weighing less than 2500g) and 35 mothers did not agree to participate in the research. Of the total number of children who began the study (n = 205), 61 were lost to follow-up and 144 were evaluated in the sixth month of life. Initially, the cohort intended assessments at birth, in the 1st, 2nd, 6th month and at one thousand days of the children’s lives. However, monitoring at two years of age of the children had to be interrupted as a result of the pandemic installation of COVID-19.
To continue the cohort, the previous reference project24 was reformulated with the purpose of examining implications of the pandemic of COVID-19 in growth and development of children. The data were collected in the five municipal schools in the county of Mamanguape with pre-school education, in which, in general, children born in the county study between 4 and 6 years of age. Collection was in August 2022, when the children in the cohort were 4 years old.
Data collect
For data collection, structured questionnaires were used. The first of these aimed to collect information regarding children. The second questionnaire referred to maternal characteristics. The first questionnaire included questions aimed at children, in addition to those aimed at mothers. The study focuses on the BMI of the children in the cohort, analyzing its relation with data about the children (biological characteristics, health conditions, food consumption, screen time, behaviors during the COVID-19 pandemic, satisfaction with school and home life) and their mothers (BMI, sociodemographic characteristics, child care, attitudes and practices related to the COVID-19 pandemic).
The questionnaire applied to mothers to obtain data contained information about sex, race (self-reported), health problems at birth, hospital stay for 24 hours or more since birth and immunization with the pentavalent vaccine. Data on the child’s vaccination were obtained from the Children’s Health Record.
In the second block, the questionnaire addressed breastfeeding in the first hour of life, food consumption and the child’s screen time. For food consumption, the Food Consumption Marker Form was used, following the guidelines of the Brazilian Ministry of Health for obtaining food consumption markers in primary care25. The form includes questions related to the previous day of collection, including eating behaviors at risk for developing childhood obesity. Three applications were carried out, two for school days (Monday to Friday) and one for a weekend day. Regular consumption was considered when food intake was reported over two or three days. Two markers of healthy eating were used (consumption of fruit and consumption of vegetables and/or legumes) and two markers of unhealthy eating (consumption of hamburgers and/or sausages and consumption of stuffed biscuits, sweets or candy). Additionally, mothers were asked to report how much time their child spent in the last month watching television, using a computer, playing video games and using a cell phone/tablet on a normal weekday and on a normal weekend day26. To calculate the total recreational screen time in a day, the minutes used for each of the activities mentioned were added and the average of the two reference moments (Monday to Friday and weekend) was determined. For categorization, screen use of up to one hour per day or more was considered, based on the guidelines for physical activity, sedentary behavior and sleep for children under 5 years of age from the World Health Organization27.
The third block of the questionnaire referred to the child’s behaviors during the COVID-19 pandemic, including aspects about general health care. We asked whether social isolation, wearing a mask and washing hands were common practices during the pandemic.
The children were asked about their satisfaction with school and family life (whether they liked being at school, school activities, being at home and the things they do at home, as well as whether they felt loved by their family). Furthermore, along with these questions, the mother was asked whether the child had ever rejected school.
The second questionnaire answered by the mothers collected sociodemographic data (age, education), child care (ability to care for the child and guide them in health aspects, do activities and play with the child) and about attitudes and practices related to the pandemic of COVID-19. In relation to the pandemic period, mothers should report how living with the child was like, adapting to remote learning, how worried they were about the disease, and the need for psychological care and the use of mental health medications. In addition, they were asked whether they had taken the vaccine and whether they had contracted the disease.
Body measurements of children and their mothers were carried out by previously trained anthropometrists using standardized techniques28. Weight was measured using a platform-type digital electronic scale with a capacity of 150 kg and graduated in 100 g (Tanita UM-080®). Height was measured using a stadiometer (WCS®) with a scale in millimeters. All measurements were taken twice with the individual barefoot, standing and wearing light clothing. The average of the two measurements was used for recording purposes.
Mothers’ BMI was calculated as the ratio between weight (kg) and height (meters) squared, classifying them as overweight/obese when ≥ 2529. In children, BMI-for-age Z-Scores were calculated using the WHO Anthro v.3 software, considering the population of the Multicentre Growth Reference Study28 as a reference.
Data analysis
The independent variables of the children’s profile used in the analyzes were: sex (male, female), race (white, other), health problems at birth (no, yes), hospital stay for 24 hours or more since birth (no, yes), immunization with the pentavalent vaccine (complete schedule, incomplete schedule), screening for NES (no, yes), breastfeeding in the first hour of life (yes, no), fruit consumption (regular, irregular), consumption of vegetables and/or vegetables (regular, irregular), consumption of hamburgers and/or sausages (irregular, regular), consumption of stuffed biscuits, sweets or candys (irregular, regular), recreational screen time (≤ 60 minutes, > 60 minutes), routine of wearing a mask during the COVID-19 pandemic (yes, no), routine of washing hands during the COVID-19 pandemic (yes, no), social isolation during the COVID-19 pandemic (yes, no), likes being at home (yes, no), likes the things you do at home (yes, no), feels loved by your family (yes, no), likes being at school (yes, no), likes the activities from school (yes, no), rejection of school (no, yes).
For the distribution according to maternal characteristics, the following were considered: BMI (adequate, overweight/obesity), age (≤ 34 years, > 34 years), education (complete/higher secondary, incomplete secondary or lower), ease of caring for the child and guidance. la in health aspects (yes, no), routine of doing activities and playing with the child (yes, no), living with the child during the COVID-19 pandemic (good, fair/bad), difficulty adapting to the remote teaching during the COVID-19 pandemic (no, yes), concern about COVID-19 disease (no, yes), need for psychological care during the COVID-19 pandemic (no, yes), need to use medication to mental health during the COVID-19 pandemic (no, yes), vaccination against COVID-19 disease (yes, no), positive diagnosis of COVID-19 disease (no, yes).
The BMI-for-age average (Z-Score) of the preschool children were analyzed according to the characterization variables of the children and their mothers. In the bivariate analysis, the averages were compared using the Student’s t-test. The correlation matrix did not identify multicollinearity between the variables. Pearson’s correlation coefficients were absolute values below 0.7. The variables that presented a p-value lower than 0.2 according to the Student’s t-test were selected for multiple linear regression analysis with a hierarchical model. A modeling process was adopted in two blocks of variables, using the “enter” sequence method, so that BMI-for-age was initially adjusted by the children’s characteristics and, in the second block, by maternal characteristics. The statistical significance criterion was established at p < 0.05. Analyzes were conducted using the Stata statistical package version 11.0.
Ethical aspects
The work was conducted under the guidelines of Resolution 466/2012 of the National Health Council. The children’s mothers signed the Free and Informed Consent Form as a prior condition to participate in the study after being informed about the objectives, procedures and benefits of your participation. Research projects were approved by the Research Ethics Committee of the State University of Paraíba (CAAE 81216417.0.0000.5187, Opinion 2.447.509 and CAAE 53281421.8.0000.5187, Opinion 5.137.768).
RESULTS
The distribution according to their characteristics of the 126 preschool children that participated in the study is available in table 1. As can be seen, hospital admission for 24 hours or more since birth (38.9%) was the most common negative health condition. Regarding food, regular consumption of fruits was 73.2%, while vegetables and/or legumes were 41.1%. For unhealthy eating markers, regular consumption of stuffed biscuits, sweets or sweets (56.3%) was higher than that of hamburgers and/or sausages (43.7%). With regard to recreational screen time, in 86.5% of children it was above 60 minutes. During the COVID-19 pandemic, 82.5% of children wore a mask in their routine, 78.6% were in the habit of washing their hands and 63.5% were in social isolation whenever/almost always when recommended. For the variables of satisfaction with home and school life, in all aspects, satisfaction was greater than 70%, except for the items liking being at home (47.4%) and not rejecting school (61.9%).
Table 1 : Body Mass Index-for-age (Z-score) of preschoolers according to children's characteristics. Mamanguape, PB, 2022
Variables | n | % | Body Mass Index-for-age (0.150±1.245) | ||
---|---|---|---|---|---|
Average | Standard deviation | p-value | |||
Biological characteristics | |||||
Sex | 0.412 | ||||
Feminine | 66 | 52.4 | 0.127 | 1,288 | |
Masculine | 60 | 47.6 | 0.176 | 1,206 | |
Race | 0.255 | ||||
White | 38 | 30.2 | 0.039 | 1,032 | |
Others | 88 | 69.8 | 0.199 | 1,329 | |
Health conditions | |||||
Health problems at birth | 0.078 | ||||
No | 112 | 88.9 | 0.206 | 1,258 | |
Yes | 14 | 11.1 | -0.294 | 1,065 | |
Hospital stay for 24 hours or more since birth | 0.473 | ||||
No | 77 | 61.1 | 0.144 | 1,246 | |
Yes | 49 | 38.9 | 0.160 | 1,256 | |
Immunization with the pentavalent vaccine | 0.103 | ||||
Complete scheme | 113 | 89.7 | 0.198 | 1.215 | |
Incomplete scheme | 13 | 10.3 | -0.264 | 1,248 | |
Food consumption and screen time | |||||
Breastfeeding in the first hour of life | 0.046 | ||||
Yes | 105 | 83.3 | -0.223 | 1,229 | |
No | 21 | 16.7 | 0.252 | 1,285 | |
Fruit consumption | 0.214 | ||||
Regular | 82 | 73.2 | 0.232 | 1,303 | |
Irregular | 30 | 26.8 | 0.003 | 1,192 | |
Consumption of vegetables and/or legumes | 0.245 | ||||
Regular | 46 | 41.1 | 0.246 | 1,064 | |
Irregular | 66 | 58.9 | 0.107 | 1,405 | |
Consumption of hamburgers and/or sausages | 0.143 | ||||
Irregular | 63 | 56.3 | 0.030 | 1,290 | |
Regular | 49 | 43.7 | 0.290 | 1,251 | |
Consumption of stuffed biscuits, sweets or candys | 0.042 | ||||
Irregular | 49 | 43.7 | -0.034 | 0.968 | |
Regular | 63 | 56.3 | 0.439 | 1,455 | |
Recreational Screen Time (minutes) | 0.366 | ||||
≤ 60 | 17 | 13.5 | 0.126 | 1,551 | |
> 60 | 109 | 86.5 | 0.164 | 1,198 | |
Behaviors during the COVID-19 pandemic | |||||
Mask wearing routine | 0.088 | ||||
Yes | 104 | 82.5 | 0.081 | 1,190 | |
No | 22 | 17.5 | 0.477 | 1,459 | |
Hand washing routine | 0.290 | ||||
Yes | 99 | 78.6 | 0.118 | 1,257 | |
No | 27 | 21.4 | 0.269 | 1,212 | |
Social isolation always/almost always when recommended | 0.409 | ||||
Yes | 80 | 63.5 | 0.131 | 1,179 | |
No | 46 | 36.5 | 0.184 | 1,364 | |
Satisfaction with home and school life | |||||
Likes being at home | 0.348 | ||||
Yes | 46 | 47.4 | 0.020 | 1,122 | |
No | 51 | 52.6 | 0.113 | 1,218 | |
Like the things you do at home | 0.239 | ||||
Yes | 68 | 70.1 | 0.014 | 1,142 | |
No | 29 | 29.9 | 0.198 | 1,239 | |
Feel loved by the family | 0.257 | ||||
Yes | 80 | 82.5 | 0.105 | 1,216 | |
No | 17 | 17.5 | -0.100 | 0.926 | |
Likes being at school | 0.347 | ||||
Yes | 70 | 72.2 | 0.098 | 1,157 | |
No | 27 | 27.8 | -0.007 | 1.215 | |
Enjoy school activities | 0.454 | ||||
Yes | 72 | 74.2 | 0.060 | 1,141 | |
No | 25 | 25.8 | 0.092 | 1,266 | |
School rejection | 0.455 | ||||
No | 78 | 61.9 | 0.141 | 1.205 | |
Yes | 48 | 38.1 | 0.166 | 1,320 |
p-value: statistical significance value according to the t-test.
When characterizing mothers, proportions of overweight/obesity, age over 34 years and incomplete secondary education or less were observed at 66.7%, 34.1% and 57.9%, respectively. The majority of mothers responded positively to questions related to child care, while coexistence with the child during the COVID-19 pandemic was fair/poor in 38.1% of cases. The repercussions of the pandemic were visible, from the need to use mental health medications (13.5%) to concern about the disease (72.0%). Of the 126 mothers, 96.0% reported having been vaccinated against the disease and 19.0% having contracted it (table 2).
Table 2 : Body Mass Index-for-age (Z-score) of preschool children according to maternal characteristics. Mamanguape, PB, 2022
Variables | n | % | Body Mass Index-for-age (0.150±1.245) | ||
---|---|---|---|---|---|
Average | Standard deviation | p-value | |||
Anthropometric | |||||
Maternal Body Mass Index (kg/m2) | 0.034 | ||||
Adequate | 42 | 33.3 | -0.110 | 1,096 | |
Overweight/obesity(≥ 25) | 84 | 66.7 | 0.382 | 1,299 | |
Sociodemographic | |||||
Age (years) | 0.404 | ||||
≤ 34 | 83 | 65.9 | 0.131 | 1,182 | |
> 34 | 43 | 34.1 | 0.188 | 1,370 | |
Education | 0.042 | ||||
Full/upper middle | 53 | 42.1 | -0.010 | 1,283 | |
Incomplete or lower average | 73 | 57.9 | 0.377 | 1,199 | |
Child care | |||||
Ease of taking care of the child and guiding them in health aspects | 0.010 | ||||
Yes | 102 | 81.0 | 0.030 | 1,142 | |
No | 24 | 19.0 | 0.659 | 1,536 | |
Routine of doing activities and playing with the child | 0.210 | ||||
Yes | 118 | 93.7 | 0.117 | 1,233 | |
No | 8 | 6.3 | 0.450 | 1,394 | |
Attitudes and practices related to COVID-19 pandemic | |||||
Living with the child | 0.363 | ||||
Good | 78 | 61.9 | 0.101 | 1,206 | |
Fair/poor | 48 | 38.1 | 0.181 | 1,317 | |
Difficulty adapting to remote teaching | 0.322 | ||||
No | 60 | 55.6 | 0.127 | 1,337 | |
Yes | 48 | 44.4 | 0.243 | 1,234 | |
Concern about illness | 0.421 | ||||
No | 35 | 27.8 | 0.115 | 1,356 | |
Yes | 91 | 72.2 | 0.164 | 1,207 | |
Need for psychological care | 0.047 | ||||
No | 64 | 50.8 | -0.020 | 1,229 | |
Yes | 62 | 49.2 | 0.298 | 1,251 | |
Needuse mental health medications | 0.036 | ||||
No | 109 | 86.5 | 0.072 | 1,227 | |
Yes | 17 | 13.5 | 0.632 | 1,292 | |
Vaccination against the disease | 0.079 | ||||
Yes | 121 | 96.0 | 0.183 | 1,243 | |
No | 5 | 4.0 | -0.468 | 1,107 | |
Positive diagnosis of the disease | 0.374 | ||||
No | 102 | 81.0 | 0.133 | 1.215 | |
Yes | 24 | 19.0 | 0.224 | 1,388 |
p-value: statistical significance value according to the t-test.
Not breastfeeding in the first hour of life (p = 0.046) and regular consumption of stuffed biscuits, sweets or candys (p = 0.042) were the characteristics of children that represented the highest BMI-for-age average (table 1). Children of overweight/obese mothers (p = 0.034), who did not complete high school (p = 0.042), who expressed difficulty in caring for the child and guiding them in health aspects also had higher BMI-for-age average (p = 0.010), as well as those whose mothers needed psychological care (p = 0.047) and used mental health medications (p = 0.036) during the COVID-19 pandemic (table 2).
After adjustment, differences in the children’s BMI-for-age average recorded through bivariate analyzes were confirmed. Not breastfeeding in the first hour of life, despite not having shown a significant difference in model 1 (adjusted for the children’s characteristics), gained statistical significance in model 2. The explanatory power of the model was 31.3% (table 3).
Table 3 : Hierarchical multiple linear regression of the Body Mass Index-for-age (Z-score) of preschool children according to child and maternal characteristics. Mamanguape, PB, 2022
Variables | Model 1 β | Model 2 β | R2 (%) |
---|---|---|---|
Body Mass Index-for-age (Z-score) | 31.3 | ||
Characteristics of children | |||
Health problems at birth | -0.234 | -0.212 | |
Incomplete pentavalent vaccine vaccination schedule | -0.198 | -0.186 | |
Not breastfed in the first hour of life | 0.346 | 0.352* | |
Regular consumption of hamburgers and/or sausages | 0.196 | 0.216 | |
Regular consumption of stuffed biscuits, sweets or treats by the child | 0.353* | 0.358* | |
Mask wearing routine | 0.158 | 0.174 | |
Maternal characteristics | |||
Overweight/obesity (Body Mass Index ≥ 25 kg/m2) | 0.396* | ||
Education level mincomplete or lower grade | 0.289* | ||
Difficulty caring for the child and guiding them in health aspects | 0.435* | ||
Need for psychological care during the COVID-19 pandemic | 0.273* | ||
Need to use mental health medications during the COVID-19 pandemic | 0.488* | ||
Non-vaccination against COVID-19 | -0.201 |
* p < 0.05; Model 1: children’s characteristics; Model 2:child and maternal characteristics;β: Regression Coefficient; R2: Coefficient of Determination.
DISCUSSION
The objective of the current study was to analyze differences in the BMI-for-age of preschoolers who grew up during the COVID-19 pandemic according to the characteristics of the children and their mothers. The findings showed that the nutritional status of children was mainly influenced by maternal factors such as the presence of overweight/obesity, lower education, difficulties in caring for the child and the repercussions of the pandemic on mental health.
Around the world, the COVID-19 outbreak has forced the implementation of social distancing measures and the need to reinforce individual health care such as hand hygiene and the use of face masks4. It is noteworthy that these measures are well evaluated for their functionality, safety and preventive nature, which justifies the good adherence shown among the participants in this study, as previously reported30. The proportion of women who said they had been vaccinated (96.0%), in turn, reinforces acceptance and adherence to pandemic contingency measures. The finding converges with that obtained among residents of Rio Grande do Sul where the intention to be vaccinated against COVID-19 was 96.0% and favored by the acceptance of individual protection actions, including social distancing31. In this spectrum of data, another important result observed was the frequency of women who self-reported having contracted the disease (19.0%), which is also consistent with the profile observed in the Brazilian population32. These factors did not influence the average BMI-for-age of the children in the present study.
Other aspects of life that also underwent changes with the COVID-19 pandemic and the restrictions on its control were the social situation, routine, health behaviors and emotional well-being. Financial losses and concerns, food and nutritional insecurity, sedentary lifestyle, unhealthy diet and stress were circumstances highlighted in the COVID-19 pandemic that can increase the risk of weight gain in children. Associated with the pandemic, the repercussions of these factors on weight are not restricted and isolated, but influenced by each other and by the parents habits.
This scope of knowledge resulting from literature reviews6,11,13-17,23,33-35 becomes visible in the results of this study, especially in the variety of problems reported in significant quantities by mothers, such as the need to use mental health medications (13.5%) and psychological care (49.2%), difficulty in living with the child (38.1%) and adapting to remote learning (44.4%), and concern about the disease (72. 2%), with an emphasis on the repercussions on mental health that influenced children’s BMI-for-age. Parental stress and anxiety caused by COVID-19 can hamper support for their children and can often be passed on to children, increasing the risk of childhood obesity33. Considering special attention to mothers is pertinent, as women stand out for having been more emotionally affected during the pandemic16.
The association between mothers mental health and excess weight in their children has been suggested in the literature, namely the presence of depression. The mechanisms described for this relationship reinforce the role of parental practices that affect children’s behaviors related to physical activity, eating and screen use36,37. In Brazil, recent studies have also reported similar results38,39. In a study developed with children treated at a pediatric endocrinology out patient clinic located in the city of Fortaleza, Ceará, researchers showed a bidirectional relationship between mothers’ depression and children’s obesity38. In turn, data from a retrospective cohort of children from a hospital in the state of Minas Gerais revealed an association between maternal depression and a composite indicator of maternal health and care, including information on BMI, breastfeeding, vaccination, iron deficiency anemia prophylaxis, illnesses and accidents39.
The mother’s difficulty in providing care to the child (p = 0.010) and lower education (p = 0.042) also contributed to higher BMI-for-age mean. This can be explained based on the importance of parents interaction with their offspring and their educational level in maintaining the child’s weight, as highlighted in Chile in a study whose results were similar to those observed in our research36. Parent-child interactions can affect children’s behavior, such as food choices and those related to physical activity, which are fundamental pillars of healthy weight. On the other hand, school level is directly related to socioeconomic level, whose influence on weight is unquestionable40.
Regarding the characteristics of the children, it was evident that not breastfeeding in the first hour of life (p = 0.046) and the consumption of stuffed biscuits, sweets or candys on a regular basis (p = 0.042) resulted in higher BMI-for-age average, reflecting the importance of food in the child’s nutritional status15,41. The differences in children’s BMI-for-age according to breastfeeding immediately after birth reflect the importance of breastfeeding for the child’s growth and development and are plausible in supporting an analogy with the greater risk of excess body weight in the second year of life in the absence of exclusive breastfeeding, according to a study developed in Joinville, Santa Catarina42. Despite this, another study found no association between breastfeeding in the first hour of life and overweight/obesity in children aged 2 to 6 years43. In turn, the consumption of processed foods is one of the determining characteristics of obesity and is increasingly present in the diet of the Brazilian population, starting from childhood41. Healthy eating, on the other hand, reduces the risk of overweight and obesity in children, as shown in Chile40. During the pandemic, behaviors that were harmful to health were exacerbated, such as greater consumption of unhealthy foods and less consumption of healthy foods3,6,15,22.
Finally, it was shown that children of overweight/obese mothers had higher BMI-for-age than those whose mothers were of adequate weight. Along the same lines, other studies have shown that living with overweight mothers was associated with childhood obesity43,44. In fact, for some researchers, this association can be explained by the child’s susceptibility to obesity due to genetics, which greatly determines energy balance43. However, in the view of other researchers, the determination of a child’s excess weight due to the same condition in the mother is shaped by the influence of social and behavioral factors, namely eating and physical activity habits, in addition to biological determinants44.
The closure of schools significantly influenced children’s lifestyles with an increase in sedentary lifestyle, screen time and consumption of low-nutrient foods, factors that lead to excessive weight gain6,21,22,34,35,40. This situation is compared to the vacation period when there is an increase in children’s weight in relation to the school year, since the school environment favors healthier behaviors22,34. Therefore, it is argued that the repercussions of social isolation on weight are more pronounced in children than in adults. In addition to the environment, greater energy needs and physical activity demands, as well as less autonomy, make children more susceptible to the consequences of the pandemic6,34,35,40. In this sense, the findings of the present study revealed the role of mothers mental health during the pandemic on children’s BMI-for-age, becoming relevant knowledge that reinforces how children are influenced by family stimuli40.
CONCLUSION
Children’s BMI-for-age mean were significantly higher when their mothers were overweight/obese, had a lower level of education and had difficulty caring for the child. Furthermore, children who were not breastfed in the first hour of life and who regularly consumed sandwich cookies, sweets or candys also contributed to higher BMI-for-age values. Examining the repercussions of the pandemic of COVID-19 in maternal and child life, it is highlighted that maternal mental health during the COVID-19 pandemic had an impact on the child’s nutritional status.