ABSTRACT
Objective:
To evaluate the prevalence of breastfeeding (BF) and the association between occurrence/duration of BF and overweight/obesity in schoolchildren aged 7-14 years.
Methods:
This is a cross-sectional study, conducted in 2012-2013, on schoolchildren aged 7-14 years from Florianópolis, Santa Catarina, Southern Brazil. Weight and height were measured according to procedures of the World Health Organization. Breastfeeding and sociodemographic data were obtained from a questionnaire responded by parents/guardians. BF was categorized as a dichotomous variable (yes/no) and according to duration (months). Nutritional status was evaluated according to the Z score of the body mass index per age for sex and it was categorized into two groups: normal weight (<Z score+1) and overweight/obesity (≥Z score+1). The adjusted analysis was performed by logistic regression in two age strata (age groups of 7-10 and 11-14 years).
Results:
6.6% of schoolchildren had never breastfed; 16.8% had been breastfed for ≤3 months; 16.7%, for 4-6 months; and 59.9%, for ≥7 months. No statistically significant differences were found in the occurrence and duration of BF between the age groups. The prevalence of overweight/obesity was 34.2%. For age groups (7-10 and 11-14 years), the prevalence of overweight/obesity was 36.7% and 29.8%, respectively. Chance of overweight/obesity for the age group of 7-10 years was lower among schoolchildren who were breastfed (OR=0.54; 95%CI 0.33-0.88), when compared with those who never breastfed. When categorized, the chance of overweight/obesity in the age group of 7-10 years was lower for duration of BF ≤3 months (OR=0.41; 95%CI 0.20-0.83), and 4-6 months (OR=0.48; 95%CI 0.28-0.82) when compared with children who never breastfed.
Conclusions:
BF for at least six months was associated with a lower chance of overweight/obesity for schoolchildren aged 7-10 years. No association was found for schoolchildren aged 11-14 years.
Keywords:
Breastfeeding; Obesity; Overweight; Child nutrition sciences; Adolescent
RESUMO
Objetivo:
Investigar prevalência e duração de aleitamento materno (AM) e sua associação com sobrepeso/obesidade em escolares de 7-14 anos.
Métodos:
Estudo transversal, realizado em 2012-2013, com escolares de 7-14 anos de Florianópolis, Santa Catarina. Peso e altura foram mensurados segundo preconizado pela Organização Mundial da Saúde (OMS). Dados sociodemográficos e sobre AM foram obtidos por questionários enviados aos responsáveis/cuidadores. A variável amamentação foi analisada como dicotômica (sim/não) e por duração (em meses). O perfil antropométrico foi avaliado por escore Z do índice de massa corporal (IMC) para a idade, segundo sexo, categorizado em: normal (<escore Z+1) e sobrepreso/obesidade (≥escore Z+1). Análises ajustadas foram realizadas (regressão logística) em dois estratos etários (7-10 e 11-14 anos).
Resultados:
6,6% dos escolares nunca tinham sido amamentados, 16,8% foram amamentados por ≤3 meses, 16,7% por 4-6 meses e 59,9% por ≥7 meses. Não houve diferença estatística de ocorrência/duração de AM entre os grupos etários. A prevalência de sobrepeso/obesidade foi 34,2%. Nos grupos etários (7-10 e 11-14 anos), a prevalência foi 36,7% e 29,8%, respectivamente. A chance de sobrepeso/obesidade nos escolares de 7-10 anos foi menor entre aqueles que tinham sido amamentados (OR=0,54; IC95% 0,33-0,88), comparando com os nunca amamentados. Quando categorizada, a chance de ter sobrepeso/obesidade nos escolares de 7-10 anos foi menor quando a duração do AM foi ≤3 meses (OR=0,41; IC95% 0,20-0,83) e 4-6 meses (OR=0,48; IC95% 0,28-0,82), em comparação à ausência de AM.
Conclusões:
AM por pelo menos seis meses foi associado com menor chance de sobrepeso/obesidade para escolares de 7-10 anos. Não foi observada associação para o grupo 11-14 anos.
Palavras-chave:
Aleitamento materno; Obesidade; Sobrepeso; Ciências da nutrição infantil; Adolescente
INTRODUCTION
Obesity is a multifactorial disease associated with biologic and environmental factors.11. World Health Organization. Report of the Commission on ending childhood obesity. Geneva: WHO; 2016. Among the many associated factors, breastfeeding (BF) seems to be crucial when it comes to such disease.22. Morović ML, Milanović SM. Breastfeeding duration as a predictor of childhood lifestyle habits, overweight and obesity in second- and third-grade schoolchildren in Croatia. Acta Clin Croat. 2019;58:481-90. https://doi.org/10.20471/acc.2019.58.03.12
https://doi.org/https://doi.org/10.20471...
This evidence has been related to the different composition of breast milk and to its hormonal response when compared with other types of milk, which may also be associated with the adaptation to the diet after BF.33. Santiago AC, Cunha LP, Vieira NS, Moreira LM, Oliveira PR, Lyra PP, et al. Breastfeeding in children born small for gestational age and future nutritional and metabolic outcomes: a systematic review. J Pediatr (Rio J). 2019;95:264-74. https://doi.org/10.1016/j.jped.2018.06.013
https://doi.org/https://doi.org/10.1016/...
In 2018, Reyes et al. observed that adolescents who were breastfed for less than six months had lower levels of adiponectin, an insulin-sensitizing and cardio-protective hormone that improves the metabolism of lipids and carbohydrates, with anti-inflammatory effects.44. Reyes M, Burrows R, Blanco E, Lozoff B, Gahagan S. Greater early weight gain and shorter breastfeeding are associated with low adolescent adiponectin levels. Pediatr Obes. 2018;13:277-84. https://doi.org/10.1111/ijpo.12212
https://doi.org/https://doi.org/10.1111/...
A review of this issue, published in 2015, concluded that the neuroendocrine programming could explain the inverse association between BF and overweight/obesity in children.55. Marseglia L, Manti S, D’Angelo G, Cuppari C, Salpietro V, Filippelli M, et al. Obesity and breastfeeding: the strength of association. Women Birth. 2015;28:81-6. https://doi.org/10.1016/j.wombi.2014.12.007
https://doi.org/https://doi.org/10.1016/...
This review shows that breastmilk has hormonal molecules, such as insulin, insulin-like growth factor I (IGF-1), adiponectin, obestatin, resistin, leptin, and ghrelin, which modulate the development of child fat and lean body mass and the appetite.55. Marseglia L, Manti S, D’Angelo G, Cuppari C, Salpietro V, Filippelli M, et al. Obesity and breastfeeding: the strength of association. Women Birth. 2015;28:81-6. https://doi.org/10.1016/j.wombi.2014.12.007
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However, the hypothesis of this protective effect remains unclear, with some studies conducted in the second half of the 2010s that verified different associations between BF or its duration and obesity.55. Marseglia L, Manti S, D’Angelo G, Cuppari C, Salpietro V, Filippelli M, et al. Obesity and breastfeeding: the strength of association. Women Birth. 2015;28:81-6. https://doi.org/10.1016/j.wombi.2014.12.007
https://doi.org/https://doi.org/10.1016/...
,66. Horta BL, Mola CL, Victora CG. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. 2015;104:30-7. https://doi.org/10.1111/apa.13133
https://doi.org/https://doi.org/10.1111/...
,77. Comba A, Demir E, Eren NB. Nutritional status and related factors of schoolchildren in Çorum, Turkey. Public Health Nutrition. 2019;22:122-31. https://doi.org/10.1017/S1368980018002938
https://doi.org/https://doi.org/10.1017/...
Studies on this association have been carried out in Brazil,88. Siqueira RS, Monteiro CA. Breastfeeding and obesity in school-age children from families of high socioeconomic status. Rev Saude Publica. 2007;41:5-12. https://doi.org/10.1590/s0034-89102007000100002
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,99. Pudla KJ, Gonzalez-Chica DA, Vasconcelos FA. Effect of breastfeeding on obesity of schoolchildren: influence of maternal education. Rev Paul Pediatr. 2015;33:295-302. https://doi.org/10.1016/j.rpped.2015.01.004
https://doi.org/https://doi.org/10.1016/...
,1010. Gonsalez PS, Retondario A, Bricarello LP, González-Chica DA, Silva DA, Vasconcelos FA. Exclusive breastfeeding, complementary feeding and association with body fat excess among schoolchildren in Florianópolis, Santa Catarina, Brazil. Rev Bras Saúde Matern Infant. 2017;17:115-25. https://doi.org/10.1590/1806-93042017000100007
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particularly on elementary school students, but they were conducted using different methods regarding the definition of outcome and independent variables. Siqueira & Monteiro, in a study conducted in São Paulo in 2007, observed a twice chance of overweight/obesity in children aged 6-14 years who have never been breastfed, compared with those breastfed (dichotomic variable: breastfed vs. never breastfed).88. Siqueira RS, Monteiro CA. Breastfeeding and obesity in school-age children from families of high socioeconomic status. Rev Saude Publica. 2007;41:5-12. https://doi.org/10.1590/s0034-89102007000100002
https://doi.org/https://doi.org/10.1590/...
In a study carried out in 2007 on schoolchildren from Florianópolis, Southern Brazil, the authors found differences in the association between BF and obesity according to maternal schooling. Schoolchildren aged 7-10 years whose mothers had a lower educational level had a lower chance of obesity if they were breastfed for more than one month. Considering schoolchildren whose mothers have a higher education level, the chance of obesity was 44% lower for those who were breastfed for more than twelve months.99. Pudla KJ, Gonzalez-Chica DA, Vasconcelos FA. Effect of breastfeeding on obesity of schoolchildren: influence of maternal education. Rev Paul Pediatr. 2015;33:295-302. https://doi.org/10.1016/j.rpped.2015.01.004
https://doi.org/https://doi.org/10.1016/...
Another study conducted in Florianópolis in 2012/2013 on schoolchildren found a significant association between excess body fat (measured by the skinfold thickness) and exclusive breastfeeding until the sixth month of life.1010. Gonsalez PS, Retondario A, Bricarello LP, González-Chica DA, Silva DA, Vasconcelos FA. Exclusive breastfeeding, complementary feeding and association with body fat excess among schoolchildren in Florianópolis, Santa Catarina, Brazil. Rev Bras Saúde Matern Infant. 2017;17:115-25. https://doi.org/10.1590/1806-93042017000100007
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Studies related to such theme with the same age group conducted in Brazil have shown similar results; however, some associated any period of BF with lower levels of obesity; conversely, others showed an association of a higher duration of BF and outcomes related to obesity in some specific strata (age/maternal schooling).88. Siqueira RS, Monteiro CA. Breastfeeding and obesity in school-age children from families of high socioeconomic status. Rev Saude Publica. 2007;41:5-12. https://doi.org/10.1590/s0034-89102007000100002
https://doi.org/https://doi.org/10.1590/...
,99. Pudla KJ, Gonzalez-Chica DA, Vasconcelos FA. Effect of breastfeeding on obesity of schoolchildren: influence of maternal education. Rev Paul Pediatr. 2015;33:295-302. https://doi.org/10.1016/j.rpped.2015.01.004
https://doi.org/https://doi.org/10.1016/...
,1010. Gonsalez PS, Retondario A, Bricarello LP, González-Chica DA, Silva DA, Vasconcelos FA. Exclusive breastfeeding, complementary feeding and association with body fat excess among schoolchildren in Florianópolis, Santa Catarina, Brazil. Rev Bras Saúde Matern Infant. 2017;17:115-25. https://doi.org/10.1590/1806-93042017000100007
https://doi.org/https://doi.org/10.1590/...
In this context, the objective of this study was to evaluate the association between breastfeeding and breastfeeding duration and overweight/obesity in schoolchildren aged 7-14 years from Florianópolis, Santa Catarina, Brazil, in 2012/2013. This study can contribute to the field of maternal and child nutrition by considering a representative and randomized sample of schools from the municipal district and performing a statistical analysis based on a theoretical model, which allows extrapolating the findings.
METHOD
This study was performed in Florianópolis, Santa Catarina, Southern Brazil, with a probabilistic sample of schoolchildren aged 7-14 years enrolled in both public and private elementary schools.
The procedures used for calculating the sample size and for the sampling have been previously described.1010. Gonsalez PS, Retondario A, Bricarello LP, González-Chica DA, Silva DA, Vasconcelos FA. Exclusive breastfeeding, complementary feeding and association with body fat excess among schoolchildren in Florianópolis, Santa Catarina, Brazil. Rev Bras Saúde Matern Infant. 2017;17:115-25. https://doi.org/10.1590/1806-93042017000100007
https://doi.org/https://doi.org/10.1590/...
,1111. Motter AF, Vasconcelos FA, Correa EN, Andrade DF. Retail food outlets and the association with overweight/obesity in schoolchildren from Florianópolis, Santa Catarina State, Brazil. Cad Saúde Pública. 2015;31:620-32. https://doi.org/10.1590/0102-311x00097814
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Briefly, the sampling universe was 45,247 schoolchildren from 85 public and private schools from Florianópolis, in which we could find classes from all grades of elementary school in the daytime. For sample size, the outcome overweight/obesity was considered according to WHO criteria1212. Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660-7. https://doi.org/10.2471/blt.07.043497
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(≥Z score+1 body mass index [BMI]-for-age). The expected prevalence of overweight/obesity in this age group, in 2012, would be 38%, according to two cross-sectional studies previously performed in a five-year period and conducted in Florianópolis in 20021313. Assis MA, Rolland-Cachera MF, Vasconcelos FA, Bellisle F, Calvo MC, Luna ME, et al. Overweight and thinness in 7-9 year old children from Florianópolis, Southern Brazil: a comparison with a French study using a similar protocol. Rev Nutr. 2006;19:299-308. https://doi.org/10.1590/S1415-52732006000300001
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and 2007,1414. Bernardo CO, Fernandes OS, Campos RM, Adami F, Vasconcelos FA. The association between the Body Mass Index of schoolchildren aged between 7 and 14 years and that of their parents in the city of Florianópolis, in the State of Santa Catarina, Brazil. Rev Bras Saúde Matern Infant. 2010;10:183-90. https://doi.org/10.1590/S1519-38292010000200005
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with the same study population, which found prevalence of 30 and 34%, respectively. Considering a sampling error of 3.5 percentage points (two-sided), and a 95% confidence interval, a sample size of 727 schoolchildren was achieved. When applying a design effect (DEFF) of 1.8, based on the aforementioned research conducted in 2007, the sample size would comprise 1,309 schoolchildren. However, considering the aim to compare the findings of the present study with the results from the two studies previously conducted in the city, by stratifying the sample by age group (7-10 and 11-14 years of age), the sample size was duplicated. Finally, a 10% safety margin was added for potential losses and/or individuals refusing to participate in the study, thus comprising a final sample size of 2,880 schoolchildren.
The present study includes a probabilistic sample of 2,506 schoolchildren, stratified by municipal administrative districts, type of school (public or private), and age group (7-10 and 11-14 years). A total of 30 schools were randomly selected (19 public and 11 private schools). Schoolchildren were selected from each school by clusters.
This study was conducted according to the guidelines established in the Declaration of Helsinki and was approved in 2012 by the Committee of Ethics in Research with Human Beings from Universidade Federal de Santa Catarina (no. 120341/2012), according to the standards established by Resolution no. 466/2012 of the National Health Council. Students who had the permission of their parents or guardians to participate in the research were included by signing the informed consent form.
Data were collected from September/2012 to June/2013. The team responsible for data collection was trained by a researcher certified by the International Society for the Advancement of Kinanthropometry, and a pilot study for anthropometric standardization was carried out in a school that was not chosen to compose the sample. The absolute intra-examiner Technical Error of Measurement (TEM) deemed acceptable was twice that of the certified researcher, whereas the absolute inter-examiner TEM deemed acceptable was thrice that of the certified researcher. Anthropometric measurements were performed according to the World Health Organization (WHO).1212. Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660-7. https://doi.org/10.2471/blt.07.043497
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Body weight was measured using an electronic Marte® scale (180 kg of capacity; 50 g of accuracy); height was measured using an Alturexata® stadiometer (1 mm of accuracy).
Data related to BF and other information used as control variables were obtained from a questionnaire sent to the parents/guardians (96.1% of questionnaires were answered by mothers or fathers). Data on the schoolchildren’s birth and childhood (birth weight, gestational age, and BF duration), demographic data (maternal schooling and age, total monthly income, number of household members) as well as anthropometric data related to their mothers (self-reported weight and height) were collected. Covariate sexual maturation was collected from students aged 11-14 years. The schoolchildren self-reported their stage through a spreadsheet containing figures corresponding to the sexual maturation stages.
BF data were obtained based on the following question to the parents/guardians: “Was the student breastfed?” “If yes, for how long?’’. This question was divided into BF time categories, which were grouped for data analysis.
Schoolchildren’s nutritional status (outcome variable) was categorized into two groups: normal weight (<Z score+1) and overweight/obesity (≥Z score+1).1212. Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660-7. https://doi.org/10.2471/blt.07.043497
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BF (exposure variable) was analyzed in two different ways: first, it was dichotomously categorized (yes vs. no) as ‘‘had never been breastfed (no)’’ or ‘‘had been breastfed for some period (yes)’’; then, it was categorized according to the BF duration: ‘‘had never been breastfed,” “had been breastfed for up to 3 months,” “had been breastfed from 4 to 6 months,” or “had been breastfed for ≥7 months.”
Obesity diagnosis in adolescence is established by body composition related to sex and sexual maturation. Considering that the relationship between BMI and body fat depends on sexual maturation,1515. Reinehr T, Wolters B, Knop C, Lass N, Holl RW. Strong effect of pubertal status on metabolic health in obese children: a longitudinal study. J Clin Endocrinol Metab. 2015;100:301-8. https://doi.org/10.1210/jc.2014-2674
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the schoolchildren’s age was classified into two groups: 7-10 years and 11-14 years, in order to characterize children and adolescents. Taking this influence into consideration, the association analysis was separately performed according to the age group.
The independent variables considered in this study include: sex, maternal age (20-29 years; 30-39 years; ≥40 years), maternal schooling (0-8 years; 9-11 years; ≥12 years), maternal nutritional status (weight and height were self-reported and Body Mass Index was calculated and classified into underweight/normal weight, BMI<25.0 kg/m2; pre-obesity, BMI=25.0-29.9 kg/m2; and obesity, BMI≥30 kg/m2, according to WHO);1212. Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660-7. https://doi.org/10.2471/blt.07.043497
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type of school (public; private), per capita family income (divided in tertiles), birth weight (considered as low/insufficient when birth weight ≤2999 g), sexual maturation for 11-14-year-old students (normal - pubic hair and breast/genital growth in the same stage of development; early - pubic hair one or two stages ahead of breast/genital development; late - pubic hair one or two stages behind breast/genital development);1616. Bernardo CO, Vasconcelos FA. Association of parents’ nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cad Saude Publica. 2012;28:291-304. https://doi.org/10.1590/S0102-311X2012000200008
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and gestational age at the student’s birth (premature if gestational age<37 weeks).
Data were entered twice and processed by the EpiData® 3.0 software. All data were verified and automatically checked for consistency and amplitude purposes. Analyses were performed using the STATA® 15.0 statistical software (StataCorp, Texas, USA). Data from each age group were analyzed according to maternal and child characteristics and the nutritional status using the chi-square test and 95% confidence interval. Logistic regression was used for crude and adjusted analysis. The theoretical analysis model presented in Figure 1 shows the relationships among these variables and how they can influence the outcomes.66. Horta BL, Mola CL, Victora CG. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. 2015;104:30-7. https://doi.org/10.1111/apa.13133
https://doi.org/https://doi.org/10.1111/...
,88. Siqueira RS, Monteiro CA. Breastfeeding and obesity in school-age children from families of high socioeconomic status. Rev Saude Publica. 2007;41:5-12. https://doi.org/10.1590/s0034-89102007000100002
https://doi.org/https://doi.org/10.1590/...
,1717. Toschke AM, Martin RM, von Kries R, Wells J, Smith GD, Ness AR. Infant feeding method and obesity: body mass index and dual-energy x-ray absorptiometry measurements at 9-10 y of age from the Avon Longitudinal Study of Parents and Children (ALSPAC). Am J Clin Nutr. 2007;85:1578-85. https://doi.org/10.1093/ajcn/85.6.1578
https://doi.org/https://doi.org/10.1093/...
,1818. Kapral N, Miller SE, Scharf RJ, Gurka MJ, DeBoer MD. Associations between birthweight and overweight and obesity in school-age children. Pediatr Obes. 2018;13:333-41. https://doi.org/10.1111/ijpo.12227
https://doi.org/https://doi.org/10.1111/...
Maternal nutritional status is influenced by socioeconomic characteristics and, in its turn, it influences (together with maternal age) the child’s birth. Gestational age at birth and child’s birth weight influence the chance of children being breastfed and, if so, for how long they have been. Breastfeeding, in turn, influences overweight/obesity, together with sex and sexual maturation, for children aging over 11 years.66. Horta BL, Mola CL, Victora CG. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. 2015;104:30-7. https://doi.org/10.1111/apa.13133
https://doi.org/https://doi.org/10.1111/...
,88. Siqueira RS, Monteiro CA. Breastfeeding and obesity in school-age children from families of high socioeconomic status. Rev Saude Publica. 2007;41:5-12. https://doi.org/10.1590/s0034-89102007000100002
https://doi.org/https://doi.org/10.1590/...
,1717. Toschke AM, Martin RM, von Kries R, Wells J, Smith GD, Ness AR. Infant feeding method and obesity: body mass index and dual-energy x-ray absorptiometry measurements at 9-10 y of age from the Avon Longitudinal Study of Parents and Children (ALSPAC). Am J Clin Nutr. 2007;85:1578-85. https://doi.org/10.1093/ajcn/85.6.1578
https://doi.org/https://doi.org/10.1093/...
,1818. Kapral N, Miller SE, Scharf RJ, Gurka MJ, DeBoer MD. Associations between birthweight and overweight and obesity in school-age children. Pediatr Obes. 2018;13:333-41. https://doi.org/10.1111/ijpo.12227
https://doi.org/https://doi.org/10.1111/...
This model based the choice of variables on what would be tested in the crude analysis. Exposure variables with p≤0.25 for crude associations were entered into the adjusted model. Adjustment in the age group of 7-10 years was made by the variables sex, type of school, mother’s age, maternal nutritional status, child birth weight, and maternal schooling; and the adjustment for schoolchildren aged 11-14 years was made by sex, type of school, mother’s age, maternal nutritional status, child sexual maturation, and maternal schooling. Maternal schooling was considered instead of the income, because it is an indicator of socioeconomic status more stable over time than income.1919. Howe LD, Galobardes B, Matijasevich A, Gordon D, Johnston D, Onwujekwe O, et al. Measuring socio-economic position for epidemiological studies in low- and middle-income countries: a methods of measurement in epidemiologic paper. Int J Epidemiol. 2012;41:871-86. https://doi.org/10.1093/ije/dys037
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In addition, the type of school was used because, in Brazil, children who attended private schools probably experienced better socioeconomic conditions than those who attended public schools.2020. Leal DB, Assis MA, Conde WL, Lobo AS, Bellisle F, Andrade DF. Individual characteristics and public or private schools predict the body mass index of Brazilian children: a multilevel analysis. Cad Saude Publica. 2018;34:e00053117. https://doi.org/10.1590/0102-311x00053117
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The Survey (SVY) command from STATA® was used in order to consider sampling effect. All regression results are shown as Odds Ratio (OR) with their respective 95% confidence intervals (95%CI). Variables with p<0.05, or when there was no overlap of the 95%CI, were considered statistically significant.
RESULTS
A total of 4,082 schoolchildren aged 7-14 years were considered eligible to this study. The final study sample consisted of 2,506 schoolchildren, with 1,531 aged 7-10 years and 975, 11-14 years, considering the 61.4% adherence rate (38.6% of losses/refusals). Comparisons between evaluated and not-evaluated (loss or/and refusal) schoolchildren aged 7-10 years in this study showed a higher percentage of boys, schoolchildren enrolled in private schools, and those attending the early grades among not-evaluated schoolchildren. As for adolescents, the prevalence of boys, enrolled in public schools and aged 13-14 years (when compared with adolescents aged 11-12 years) were higher among those not-evaluated.
Regarding BF, 6.6% had never been breastfed; 16.8% had been breastfed for up to three months; 16.7%, from four to six months (95%CI 14.6-19.0%); and 59.9%, for seven months or more (95%CI 56.8-62.9%). No differences were found in the prevalence related to the occurrence of BF and its duration when comparing the groups (p=0.728 and p=0.508, respectively). Expected differences were observed regarding maternal age for schoolchildren in the age group of 11-14 years when compared with younger schoolchildren (p<0.001). There was a higher proportion of mothers with less education in the age group of 11-14 years, but it was not statistically significant (p=0.120), and children were born preterm in the same age group compared with schoolchildren from the age group of 7-10 years (p=0.004). Regarding overweight/obesity, the prevalence for the total sample was 34.2%; for schoolchildren aged 7-10 years, 36.7%; and for adolescents aged 11-14 years, 29.8%. There was a statistically significant difference between the prevalence of overweight/obesity in both groups (p=0.024), but the confidence intervals overlapped (Tables 1 and 2).
The association between schoolchildren’s characteristics and the nutritional status stratified by age groups is demonstrated in Table 3. In both age groups, a higher proportion of pre-obese and obese mothers was observed in overweight/obesity schoolchildren when compared with those without overweight/obesity (p<0.001). Concerning children aged 7-10 years, a greater proportion of children with sufficient birth weight were overweight/obese when compared with those with normal weight (p=0.004). A higher proportion of overweight/obesity was observed in children attending public schools (p=0.038). In adolescents, the variables associated with overweight/obesity were sex and maternal age (p=0.027 and p=0.008, respectively).
The prevalence of overweight/obesity, crude and adjusted OR, according to BF and BF duration categories for the age group of 7-10 years is demonstrated in Table 4. Lower chance of overweight/obesity was observed in children who were breastfed (OR=0.54; 95%CI 0.33-0.88). This association was maintained in the categories of breastfeeding duration ≤3 months (OR=0.41; 95%CI 0.20-0.83) and 4-6 months (OR=0.48; 95%CI 0.28-0.82) when compared with schoolchildren who had never been breastfed in this age stratum. Data on the age group of 11-14 years are demonstrated in Table 5. No association was found between BF or BF duration and overweight/obesity in adolescents.
DISCUSSION
This study aimed to evaluate the prevalence of schoolchildren’s breastfeeding and their characteristics as well the association between BF and BF duration with overweight/obesity. We found 6.6% of schoolchildren who have never been breastfed, 33.5% who were breastfed for at least six months, and a proportion of almost 60% who were breastfed for seven months or more. Furthermore, for the youngest group (7-10 years of age) - and after adjusting the analyses for maternal and socioeconomic influences - there were lower chance of overweight/obesity among schoolchildren breastfed compared with those who had never been breastfed. Moreover, still concerning the youngest group, being breastfed for at least 3 or 4-6 months showed the same statistically inverse association with overweight/obesity. No association was found for BF and overweight/obesity in schoolchildren aged 11-14 years.
Concerning the prevalence of breastfed children, the National Survey on Breastfeeding Prevalence, conducted in 2008, found that 58.7% of 9-12-month children had been breastfed in Brazil - 52.2% in the city of Florianópolis.2121. Brazil - Ministério da Saúde. Secretaria de Atenção à Saúde. II Research of breastfeeding predominance in Brazilian capitals and Federal District. Brasília: Ministério da Saúde; 2009. When comparing this fact with data from other countries, Rossiter et al., in 2011, developed a cross-sectional study on a population of 5,560 schoolchildren aged 10-11 years in Nova Scotia (Canada), and found that 32% of children were breastfed for at least six months, a similar prevalence compared with the one found in this study (33.5%).2222. Rossiter MD, Colapinto CK, Khan MK, McIsaac JL, Williams PL, Kirk SF, et al. Breast, formula and combination feeding in relation to childhood obesity in Nova Scotia, Canada. Matern Child Health J. 2015;19:2048-56. https://doi.org/10.1007/s10995-015-1717-y
https://doi.org/https://doi.org/10.1007/...
The WHO and the Brazilian Ministry of Health recommend exclusive BF for children younger than six months and the maintenance of BF with appropriate complementary feeding until they turn at least two years old.2323. Brazil - Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Ações Programáticas Estratégicas. Basis for the discussion of the National Policy for the Promotion, Protection and Support of Breastfeeding. Brasília: Ministério da Saúde ; 2017. In the present study, 59.9% of 7-14-year-old children had been breastfed for more than six months. However, 6.6% of both groups had not been breastfed for any period. This indicates that actions aimed at encouraging BF that are performed in Brazil since the end of the 1980s should be maintained. Among actions developed in the period of this study, the Estratégia Amamenta e Alimenta Brasil [Feeding and Breastfeeding Brazil Strategy] can be mentioned, which is an initiative launched in the 2013 aimed at qualifying human resources in public healthcare units to promote, protect, and support breastfeeding and healthy complementary feeding.2323. Brazil - Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Ações Programáticas Estratégicas. Basis for the discussion of the National Policy for the Promotion, Protection and Support of Breastfeeding. Brasília: Ministério da Saúde ; 2017. Examples of recommended actions on behalf of this strategy are to properly welcome mothers and their newborn child in the healthcare units and to establish a continuous tie between the health professionals and the mothers and their families. This issue is very important, as observed by Zakarija-Grković et al. in 2015, in a study conducted in Croatia on 773 mothers. The authors found that the chance of being exclusively breastfed until six months of age was 2.6 higher if mothers had a nutritional counseling on infant feeding with a health professional before childbirth.2424. Zakarija-Grković I, Šegvić O, Vukušić AV, Lozančić T, Božinović T, Ćuže A, et al. Predictors of suboptimal breastfeeding: an opportunity for public health interventions. Eur J Public Health. 2016;26:282-9. https://doi.org/10.1093/eurpub/ckv203
https://doi.org/https://doi.org/10.1093/...
Regarding the prevalence of overweight/obesity in this study (36.7% among younger children and 29.8% among adolescents), it is in accordance with the Brazilian National Dietary Survey 2008-2009 (POF, Portuguese acronym for Pesquisa de Orçamentos Familiares, 2008/2009), in which overweight/obesity prevalence was higher among younger groups (48.2% in children aged 7-9 years, and 30.0% in those aged 10-15 years).2525. Brazil - Ministro do Planejamento, Orçamento e Gestão. Instituto Brasileiro de Geografia e Estatística - IBGE. National Household Budget Survey 2008-2009. Anthropometry and Nutritional Status of Children, Adolescents and Adults in Brazil. Rio de Janeiro: IBGE; 2011. In a cohort study conducted by Parrino et al. on 1,521 Sicilian children aged 9-14 years, the prevalence of obesity was 14.1%.2626. Parrino C, Vinciguerra F, Spina N, Romeo L, Tumminia A, Baratta R, et al. Influence of early-life and parental factors on childhood overweight and obesity. J Endocrinol Invest. 2016;39:1315-21. https://doi.org/10.1007/s40618-016-0501-1
https://doi.org/https://doi.org/10.1007/...
It is worth noting that childhood and adolescence obesity is a risk factor for obesity in adulthood.77. Comba A, Demir E, Eren NB. Nutritional status and related factors of schoolchildren in Çorum, Turkey. Public Health Nutrition. 2019;22:122-31. https://doi.org/10.1017/S1368980018002938
https://doi.org/https://doi.org/10.1017/...
Results from adjusted analyses in the present study showed a statistical association between maternal BF and overweight/obesity prevalence among schoolchildren aged 7-10 years, and between BF duration (≤ 6 months) and overweight/obesity prevalence among schoolchildren aged 7-10 years; however, such association was not found in the older group (schoolchildren aged 11-14 years). The results of this study are similar to the findings of Grube et al., who conducted a study on German children and adolescents in 2003-2006 and observed a protective effect of BF on children aged 7-10 years, although they did not find an association in other age groups (3-6, 11-13, and 14-17 years of age).2727. Grube MM, Lippe E, Schlaud M, Brettschneider AK. Does breastfeeding help to reduce the risk of childhood overweight and obesity? A propensity score analysis of data from the KiGGS study. PloS One. 2015;10:e0122534. https://doi.org/10.1371/journal.pone.0122534
https://doi.org/https://doi.org/10.1371/...
While the results of the present study are only significant among younger schoolchildren, another Brazilian study conducted in 2007 on students aged 6-14 years found twice the chance of obesity in schoolchildren who had never been breastfed.99. Pudla KJ, Gonzalez-Chica DA, Vasconcelos FA. Effect of breastfeeding on obesity of schoolchildren: influence of maternal education. Rev Paul Pediatr. 2015;33:295-302. https://doi.org/10.1016/j.rpped.2015.01.004
https://doi.org/https://doi.org/10.1016/...
On the other hand, a study conducted by Brion et al., with data from a Brazilian cohort born in 1993, found no relationship between BF and obesity at the age of nine.88. Siqueira RS, Monteiro CA. Breastfeeding and obesity in school-age children from families of high socioeconomic status. Rev Saude Publica. 2007;41:5-12. https://doi.org/10.1590/s0034-89102007000100002
https://doi.org/https://doi.org/10.1590/...
Different results from the aforementioned studies can be explained by their distinct confounding variables inserted in the final analysis model. In a systematic review, Horta et al. observed that BF is related to lower rates of obesity and overweight in general. However, they identified that studies in which estimates were adjusted for confounding variables, such as socioeconomic status, birth condition, and parental anthropometry, found a poorer association between BF and risk of obesity in later life (this review included studies on children and adults) when compared with those that did not consider it.66. Horta BL, Mola CL, Victora CG. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. 2015;104:30-7. https://doi.org/10.1111/apa.13133
https://doi.org/https://doi.org/10.1111/...
The study conducted in Germany evaluates the effect of BF on the nutritional status of children and adolescents, and have found a similar decrease in the association when taking adjusted variables into consideration.2727. Grube MM, Lippe E, Schlaud M, Brettschneider AK. Does breastfeeding help to reduce the risk of childhood overweight and obesity? A propensity score analysis of data from the KiGGS study. PloS One. 2015;10:e0122534. https://doi.org/10.1371/journal.pone.0122534
https://doi.org/https://doi.org/10.1371/...
Although studies have documented an association between breastfeeding and reduction in the risk of child obesity, there are unobservable confounders that may influence correlations between breastfeeding behaviours and child weight outcomes. However, the International Early Nutrition Research Project has summarized, by a systematic review, that there is an inverse association between BF and overweight/obesity in childhood and adulthood (13% decreased odds).2828. Patro-Gołąb B, Zalewski BM, Kołodziej M, Kouwenhoven S, Poston L, Godfrey KM, et al. Nutritional interventions or exposures in infants and children aged up to 3 years and their effects on subsequent risk of overweight, obesity and body fat: a systematic review of systematic reviews. Obes Rev. 2016;17:1245-57. https://doi.org/10.1111/obr.12476
https://doi.org/https://doi.org/10.1111/...
Nonetheless, the authors reinforced that they cannot exclude residual confounding from this association.2828. Patro-Gołąb B, Zalewski BM, Kołodziej M, Kouwenhoven S, Poston L, Godfrey KM, et al. Nutritional interventions or exposures in infants and children aged up to 3 years and their effects on subsequent risk of overweight, obesity and body fat: a systematic review of systematic reviews. Obes Rev. 2016;17:1245-57. https://doi.org/10.1111/obr.12476
https://doi.org/https://doi.org/10.1111/...
In this study, an association between schoolchildren aged 7-10 years and the lack of association between the oldest age group have already been verified in the crude analysis for BF duration and, therefore, have remained after the inclusion of different variables in the adjusted model. Concerning potential effect modifiers, it should be highlighted that a previous study with similar design has been conducted in Florianópolis in 2007. The authors showed that chances of obesity may vary according to BF duration with a modifying effect of the maternal schooling. Moreover, in the previous study, for younger children whose mothers had lower schooling level (0-8 years), the chance of obesity was lower for any period of breastfeeding longer than one month.1010. Gonsalez PS, Retondario A, Bricarello LP, González-Chica DA, Silva DA, Vasconcelos FA. Exclusive breastfeeding, complementary feeding and association with body fat excess among schoolchildren in Florianópolis, Santa Catarina, Brazil. Rev Bras Saúde Matern Infant. 2017;17:115-25. https://doi.org/10.1590/1806-93042017000100007
https://doi.org/https://doi.org/10.1590/...
When analyzing the most recent study, BF has not played a more important role in older children when it comes to overweight/obesity prevention. Perhaps the influence of other variables, such as food consumption, physical activity - which has been changing over time in this age group2525. Brazil - Ministro do Planejamento, Orçamento e Gestão. Instituto Brasileiro de Geografia e Estatística - IBGE. National Household Budget Survey 2008-2009. Anthropometry and Nutritional Status of Children, Adolescents and Adults in Brazil. Rio de Janeiro: IBGE; 2011. -, in addition to maternal-related influences, may play a more important role in nutritional status in adulthood, considering that maternal weight status could influence the overall variability of BMI.2020. Leal DB, Assis MA, Conde WL, Lobo AS, Bellisle F, Andrade DF. Individual characteristics and public or private schools predict the body mass index of Brazilian children: a multilevel analysis. Cad Saude Publica. 2018;34:e00053117. https://doi.org/10.1590/0102-311x00053117
https://doi.org/https://doi.org/10.1590/...
The primary limitation of this study is related to its cross-sectional design, in such a way that additional evidence is needed to support its findings. Even though questions on BF duration were retrospectively assessed, thus being subject to memory bias, this is a common procedure often carried out in other studies, and it has been considered a valid and reliable estimate of BF onset and duration.2929. Byrne ML, Schwartz OS, Simmons JG, Sheeber L, Whittle S, Allen NB. Duration of breastfeeding and subsequent adolescent obesity: effects of maternal behavior and socioeconomic status. J Adolesc Health. 2018;62:471-9. https://doi.org/10.1016/j.jadohealth.2017.10.019
https://doi.org/https://doi.org/10.1016/...
,3030. Wong PD, Anderson LN, Dai DD, Parkin PC, Maguire JL, Birken CS, et al. The association of breastfeeding duration and early childhood cardiometabolic risk. J Pediatr. 2018;192:80-5.e1. https://doi.org/10.1016/j.jpeds.2017.09.071
https://doi.org/https://doi.org/10.1016/...
In addition, some variables, such as maternal weight and height for estimating BMI, were self-reported. Finally, data on exclusive BF, complementary feeding, and utilization of infant formula were not included.
The representative and randomized sample of schools from all the five geographical regions in the relevant municipal district is one of the strengths of this study. Therefore, the results can be extrapolated from the population of schoolchildren aged 7-14 years from the municipality of Florianópolis, Brazil. The weighting effect of each person on the sample was also considered, which minimizes bias in the analysis of the variables, for which fewer responses were found.
In conclusion, BF was associated with overweight/obesity concerning schoolchildren aged 7-10 years living in Florianópolis, Southern Brazil. Besides the confirmation of such findings by longitudinal studies, it is highly recommended for Brazilian authorities to create more actions and programs for the National Food and Nutrition Policy on breastfeeding, which seems to be crucial for the early development of overweight and obesity.
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21Brazil - Ministério da Saúde. Secretaria de Atenção à Saúde. II Research of breastfeeding predominance in Brazilian capitals and Federal District. Brasília: Ministério da Saúde; 2009.
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22Rossiter MD, Colapinto CK, Khan MK, McIsaac JL, Williams PL, Kirk SF, et al. Breast, formula and combination feeding in relation to childhood obesity in Nova Scotia, Canada. Matern Child Health J. 2015;19:2048-56. https://doi.org/10.1007/s10995-015-1717-y
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23Brazil - Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Ações Programáticas Estratégicas. Basis for the discussion of the National Policy for the Promotion, Protection and Support of Breastfeeding. Brasília: Ministério da Saúde ; 2017.
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24Zakarija-Grković I, Šegvić O, Vukušić AV, Lozančić T, Božinović T, Ćuže A, et al. Predictors of suboptimal breastfeeding: an opportunity for public health interventions. Eur J Public Health. 2016;26:282-9. https://doi.org/10.1093/eurpub/ckv203
» https://doi.org/https://doi.org/10.1093/eurpub/ckv203 -
25Brazil - Ministro do Planejamento, Orçamento e Gestão. Instituto Brasileiro de Geografia e Estatística - IBGE. National Household Budget Survey 2008-2009. Anthropometry and Nutritional Status of Children, Adolescents and Adults in Brazil. Rio de Janeiro: IBGE; 2011.
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26Parrino C, Vinciguerra F, Spina N, Romeo L, Tumminia A, Baratta R, et al. Influence of early-life and parental factors on childhood overweight and obesity. J Endocrinol Invest. 2016;39:1315-21. https://doi.org/10.1007/s40618-016-0501-1
» https://doi.org/https://doi.org/10.1007/s40618-016-0501-1 -
27Grube MM, Lippe E, Schlaud M, Brettschneider AK. Does breastfeeding help to reduce the risk of childhood overweight and obesity? A propensity score analysis of data from the KiGGS study. PloS One. 2015;10:e0122534. https://doi.org/10.1371/journal.pone.0122534
» https://doi.org/https://doi.org/10.1371/journal.pone.0122534 -
28Patro-Gołąb B, Zalewski BM, Kołodziej M, Kouwenhoven S, Poston L, Godfrey KM, et al. Nutritional interventions or exposures in infants and children aged up to 3 years and their effects on subsequent risk of overweight, obesity and body fat: a systematic review of systematic reviews. Obes Rev. 2016;17:1245-57. https://doi.org/10.1111/obr.12476
» https://doi.org/https://doi.org/10.1111/obr.12476 -
29Byrne ML, Schwartz OS, Simmons JG, Sheeber L, Whittle S, Allen NB. Duration of breastfeeding and subsequent adolescent obesity: effects of maternal behavior and socioeconomic status. J Adolesc Health. 2018;62:471-9. https://doi.org/10.1016/j.jadohealth.2017.10.019
» https://doi.org/https://doi.org/10.1016/j.jadohealth.2017.10.019 -
30Wong PD, Anderson LN, Dai DD, Parkin PC, Maguire JL, Birken CS, et al. The association of breastfeeding duration and early childhood cardiometabolic risk. J Pediatr. 2018;192:80-5.e1. https://doi.org/10.1016/j.jpeds.2017.09.071
» https://doi.org/https://doi.org/10.1016/j.jpeds.2017.09.071
Funding
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This study was funded by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (Process nº 483955/2011-6).
Publication Dates
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Publication in this collection
24 Feb 2021 -
Date of issue
2021
History
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Received
31 Mar 2020 -
Accepted
29 July 2020 -
Published
22 Feb 2021