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Family influence on the nutritional status and eating habits of six to nine year-old children

Influência familiar no estado nutricional e hábito alimentar de crianças de seis a nove anos

ABSTRACT

Objective

To investigate whether caregivers’ attitudes, beliefs, practices, alimentary habits, and nutritional status influence the alimentary habits and nutritional status of children aged six to nine years.

Methods

This cross-sectional study included 164 children and a family member (caregiver) each (n=164), carried out in the family health units of the municipality of Ribeirão Preto (SP), Brazil. Weight and height measurements were performed; each child was then evaluated by the application of both the Child Feeding Questionnaire and 24h recall (for calculating the Healthy Eating Index Revised), in addition to the assessment of adherence to healthy eating steps of the Ministry of Health, through a questionnaire.

Results

The results showed that the prevalence of being overweight was 18.3% in children and 32.9% in caregivers, and the prevalence of obesity was 15.9% and 37.9%, respectively. Most of the 56 children categorized as overweight also had overweight caregivers (82.1%; n=46). Concerns regarding children’s weight control were higher among caregivers responsible for overweight children (3.6±1.29). In contrast, caregivers responsible for children below or at normal weight demonstrated a greater tendency toward getting children to eat (3.3±0.97 and 3.9±0.99, respectively). The average score; of the children’s Brazilian Healthy Eating Index Revised (50.0±13.6) was similar to that of their caregivers (56.5±12.1).

Conclusions

Caregivers have a direct influence on the nutritional status and eating habits of children; therefore, they should be targeted in the processes of nutritional intervention for the prevention and treatment of childhood obesity.

Keywords
Child nutrition; Feeding behavior; Food consumption; Nutritional status; Pediatric obesity

RESUMO

Objetivo

Este estudo se propôs a investigar se atitudes, crenças, práticas, hábitos alimentares e estado nutricional dos responsáveis influenciam os hábitos alimentares e o estado nutricional de crianças de 6 a 9 anos.

Methods

Estudo transversal com 164 crianças e um respectivo responsável por sua alimentação (n=164), desenvolvido em Unidades de Saúde da Família do município de Ribeirão Preto (SP). Realizaram-se aferição de peso e estatura, aplicação do Questionário de Alimentação da Criança e Recordatório Alimentar de 24 horas (para cálculo do Índice de Qualidade da Dieta Revisado), além de verificação da adesão aos Passos da Alimentação Saudável do Ministério da Saúde, por meio de um questionário.

Results

Os resultados obtidos mostraram que as prevalências de sobrepeso foram de 18,3% nas crianças e de 32,9% nos responsáveis, e as prevalências de obesidade foram de 15,9% e 37,9%, respectivamente. Os responsáveis da maioria das 56 crianças que apresentaram excesso de peso também tinham excesso de peso (82,1%; n=46). A preocupação com o peso da criança foi maior entre os responsáveis das crianças acima do peso (3,6±1,29). Por outro lado, uma maior pressão para comer foi identificada entre os responsáveis com crianças com baixo peso ou peso normal (3,3±0,97 e 3,9±0,99, respectivamente). O escore médio do Índice de Qualidade da Dieta Revisado das crianças (50,0±13,6) foi muito similar ao dos responsáveis (56,5±12,1).

Conclusions

Os responsáveis exercem influência direta no estado nutricional e hábitos alimentares das crianças, devendo ser alvos nos processos de intervenção nutricional para a prevenção e o tratamento da obesidade infantil.

Palavras-chave
Alimentação infantil; Comportamento alimentar; Consumo de alimentos; Estado nutricional; Obesidade pediátrica

INTRODUCTION

Obesity is characterized by excessive accumulation of fat at a level that could be malign to health [11 World Health Organization. Obesity and overweight. Geneva: Organization; 2018 [cited 2020 Jan 3]. Available from: http://www.who.int/mediacentre/factsheets/fs311/en/index.html
http://www.who.int/mediacentre/factsheet...
,22 Prado MTA, Aoyagui TAC, Scarcelli ALM, Fernani DCGL, Massetti T, Silva TD, et al. Anthropometric profile, eating habits and physical activity levels of students in a city in the state of São Paulo. Med Express. 2016;3(6):M160604. https://doi.org/10.5935/medicalexpress.2016.06.04
https://doi.org/10.5935/medicalexpress.2...
]. Studies indicate that childhood obesity is a risk factor to developing dyslipidemia and insulin resistance even in childhood [33 Magalhães TCA, Vieira SA, Priore SE, Ribeiro AQ, Franceschini SCC, Sant’Ana LFR. Fatores associados à dislipidemia em crianças de 4 a 7 anos de idade. Rev Nutr. 2015;28(1):17-28. https://doi.org/10.1590/1415-52732015000100002
https://doi.org/10.1590/1415-52732015000...
]. According to global estimates, in 2016, more than 340 million children and adolescents (between 5 and 19 years old) were overweight or obese [11 World Health Organization. Obesity and overweight. Geneva: Organization; 2018 [cited 2020 Jan 3]. Available from: http://www.who.int/mediacentre/factsheets/fs311/en/index.html
http://www.who.int/mediacentre/factsheet...
]. There was a pronounced increase in the proportion of overweight children in Brazil, mainly in the age group of 5 to 9 years of age, between 1989 and 2009. Among boys in this age group, overweight individuals reached 34.8%, and among girls, this index reached 32%, whereas the overall obesity rate among boys was 4.1% and among girls 11.8% [44 Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2008-2009: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: Instituto; 2010 [citado 4 jul 2019]. Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv45419.pdf
https://biblioteca.ibge.gov.br/visualiza...
].

Obesity has a multifactorial character, among its main causes, and environmental factors stand out, such as socioeconomic conditions, lifestyle, and eating habits [22 Prado MTA, Aoyagui TAC, Scarcelli ALM, Fernani DCGL, Massetti T, Silva TD, et al. Anthropometric profile, eating habits and physical activity levels of students in a city in the state of São Paulo. Med Express. 2016;3(6):M160604. https://doi.org/10.5935/medicalexpress.2016.06.04
https://doi.org/10.5935/medicalexpress.2...
,55 Freitas FR, Moraes DEB, Warkentin S, Mais LA, Ivers JF, Taddei JAAC. Maternal restrictive feeding practices for child weight control and associated characteristics. J Pediatr. 2019;95(2):201-8. https://doi.org/10.1016/j.jped.2017.12.009
https://doi.org/10.1016/j.jped.2017.12.0...

6 Rossi CE, Costa LCF, Machado MS, Andrade DF, Vasconcelos FAG. Fatores associados ao consumo alimentar na escola e ao sobrepeso/obesidade de escolares de 7-10 anos de Santa Catarina, Brasil. Ciênc Saúde Coletiva. 2019;24(2):443-54. https://doi.org/10.1590/1413-81232018242.34942016
https://doi.org/10.1590/1413-81232018242...

7 Rocha NP, Milagres LC, Filgueiras MS, Suhett LG, Silva MA, Albuquerque FM, et al. Associação dos padrões alimentares com excesso de peso e adiposidade corporal em crianças brasileiras: estudo Pase-Brasil. Arq Bras Cardiol. 2019;113(1):52-9. https://doi.org/10.5935/abc.20190113
https://doi.org/10.5935/abc.20190113...

8 Sparrenberger K, Friedrich RR, Schiffner MD, Schuch I, Wagner MB. Ultra-processed food consumption in children from a Basic Health Unit. J Pediatr. 2015;91(6):535-42. https://doi.org/10.1016/j.jped.2015.01.007
https://doi.org/10.1016/j.jped.2015.01.0...
-99 Ferreira APS, Szwarcwald CL, Damacena GN. Prevalência e fatores associados da obesidade na população brasileira: estudo com dados aferidos da Pesquisa Nacional de Saúde, 2013. Rev Bras Epidemiol. 2019;22:e190024. https://doi.org/10.1590/1980-549720190024
https://doi.org/10.1590/1980-54972019002...
]. Several instruments are used to assess food intake, which is one of the aspects of eating behavior [55 Freitas FR, Moraes DEB, Warkentin S, Mais LA, Ivers JF, Taddei JAAC. Maternal restrictive feeding practices for child weight control and associated characteristics. J Pediatr. 2019;95(2):201-8. https://doi.org/10.1016/j.jped.2017.12.009
https://doi.org/10.1016/j.jped.2017.12.0...
,88 Sparrenberger K, Friedrich RR, Schiffner MD, Schuch I, Wagner MB. Ultra-processed food consumption in children from a Basic Health Unit. J Pediatr. 2015;91(6):535-42. https://doi.org/10.1016/j.jped.2015.01.007
https://doi.org/10.1016/j.jped.2015.01.0...
,1010 Pereira LJ, Hinnig PF, Di Pietro PF, Assis MAA, Vieira FGK. Trends in food consumption of schoolchildren from 2nd to 5th grade: a panel data analysis. Rev Nutr. 2020;33:e190164. https://doi.org/10.1590/1678-9865202033e190164
https://doi.org/10.1590/1678-9865202033e...

11 Vieira DAS, Castro MA, Fisberg M, Fisberg RM. Nutritional quality of dietary patterns of children: are there differences inside and outside school? J Pediatr. 2017;93(1):47-57. https://doi.org/10.1016/j.jped.2016.03.008
https://doi.org/10.1016/j.jped.2016.03.0...

12 Bento BMA, Moreira AC, Carmo AS, Santos LC, Horta PM. A higher number of school meals is associated with a less-processed diet. J Pediatr. 2018;94(4):404-9. https://doi.org/10.1016/j.jped.2017.07.016
https://doi.org/10.1016/j.jped.2017.07.0...

13 Jaime PC, Stopa SR, Oliveira TP, Vieira ML, Szwarcwald CL, Malta DC. Prevalência e distribuição sociodemográfica de marcadores de alimentação saudável, Pesquisa Nacional de Saúde, Brasil 2013. Epidemiol Serv Saúde. 2015;24(2):267-76. https://doi.org/10.5123/S1679-49742015000200009
https://doi.org/10.5123/S1679-4974201500...

14 Pinto A, Santos AC, Lopes C, Oliveira A. Dietary patterns at 7 year-old and their association with cardiometabolic health at 10 year-old. Clin Nutr. 2020;39(4):1195-202. https://doi.org/10.1016/j.clnu.2019.05.007
https://doi.org/10.1016/j.clnu.2019.05.0...

15 Vilela S, Severo M, Moreira T, Oliveira A, Hetherington MM, Lopes C. Association between eating frequency and eating behaviours related to appetite from 4 to 7 years of age: findings from the population-based birth cohort generation XXI. Appetite. 2019;132:82-90. https://doi.org/10.1016/j.appet.2018.10.002
https://doi.org/10.1016/j.appet.2018.10....

16 Cornwell B, Villamor E, Mara-Plazas M, Marin C, Monteiro CA, Baylin A. Processed and ultra-processed foods are associated with lower-quality nutrient profiles in children from Colombia. Public Health Nutr. 2018;21(1):142-7. https://doi.org/10.1017/S1368980017000891
https://doi.org/10.1017/S136898001700089...

17 Correa RS, Vencato PH, Rockett FC, Bosa VL. Dietary patterns: are there diferences between children and adolescentes? Ciênc Saúde Coletiva. 2017;22(2):553-62. https://doi.org/10.1590/1413-81232017222.09422016
https://doi.org/10.1590/1413-81232017222...

18 Pinhão S, Poínhos R, Franchini B, Afonso C, Teixeira VH, Moreira P, et al. Avaliação da ingestão energética e em macronutrientes da população adulta portuguesa. Rev Port Saúde Pública. 2016;34(3):220-35. https://doi.org/10.1016/j.rpsp.2016.06.004
https://doi.org/10.1016/j.rpsp.2016.06.0...
-1919 Oliveira A, Jones L, Lauzon-Guillain B, Emmett P, Moreira P, Charles MA, et al. Early problematic eating behaviours are associated with lower fruit and vegetable intake and less dietary variety at 4-5 years of age: a prospective analysis of three European birth cohorts. Br J Nutr. 2015;114(5):763-71. https://doi.org/10.1017/s0007114515002287
https://doi.org/10.1017/s000711451500228...
]. However, there is no foolproof assessment of the food consumption method [2020 Lopes RVC, Teixeira JA, Marchioni DM, Villa LL, Giuliano AR, Fisberg RM. Improvement in dietary intake estimates through the combined use of different approaches. Rev Nutr. 2019;32:e180137. https://doi.org/10.1590/1678-9865201932e180137
https://doi.org/10.1590/1678-9865201932e...
,2121 Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, et al. Comparison of self-reported dietary intakes from the automated self-administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr. 2018;107:80-93. https://doi.org/10.1093/ajcn/nqx002
https://doi.org/10.1093/ajcn/nqx002...
]. The 24-hour recall is the most suitable approach to quantify and assess food and nutrient intake [77 Rocha NP, Milagres LC, Filgueiras MS, Suhett LG, Silva MA, Albuquerque FM, et al. Associação dos padrões alimentares com excesso de peso e adiposidade corporal em crianças brasileiras: estudo Pase-Brasil. Arq Bras Cardiol. 2019;113(1):52-9. https://doi.org/10.5935/abc.20190113
https://doi.org/10.5935/abc.20190113...
,1818 Pinhão S, Poínhos R, Franchini B, Afonso C, Teixeira VH, Moreira P, et al. Avaliação da ingestão energética e em macronutrientes da população adulta portuguesa. Rev Port Saúde Pública. 2016;34(3):220-35. https://doi.org/10.1016/j.rpsp.2016.06.004
https://doi.org/10.1016/j.rpsp.2016.06.0...
,2222 Monteiro LS, Hassan BK, Estima CCP, Souza AMS, Verly Junior E, Sichieri R, et al. Food consumption according to the days of the week: National Food Survey, 2008-2009. Rev Saúde Pública. 2017;51:93. https://doi.org/10.11606/s1518-8787.2017051006053
https://doi.org/10.11606/s1518-8787.2017...
,2323 Oliveira MC, Calahani IM, Previdelli AN, Malta MB, Corrente JE, Papini SJ. Aplicação do Índice de Qualidade da Dieta revisado antes e após orientação nutricional. Rev Ciênc Méd. 2015;24(1):29-36. https://doi.org/10.24220/2318-0897v24n1a2308
https://doi.org/10.24220/2318-0897v24n1a...
].

Eating behavior is complex: it is not restricted to consumption patterns but encompasses everything from choice and purchase to food preparation and the act of eating. Eating behavior involves several environmental, nutritional, psychological, social, and cultural factors [22 Prado MTA, Aoyagui TAC, Scarcelli ALM, Fernani DCGL, Massetti T, Silva TD, et al. Anthropometric profile, eating habits and physical activity levels of students in a city in the state of São Paulo. Med Express. 2016;3(6):M160604. https://doi.org/10.5935/medicalexpress.2016.06.04
https://doi.org/10.5935/medicalexpress.2...
,1818 Pinhão S, Poínhos R, Franchini B, Afonso C, Teixeira VH, Moreira P, et al. Avaliação da ingestão energética e em macronutrientes da população adulta portuguesa. Rev Port Saúde Pública. 2016;34(3):220-35. https://doi.org/10.1016/j.rpsp.2016.06.004
https://doi.org/10.1016/j.rpsp.2016.06.0...
,2424 Galasi-Pacheco LF, Vieira CM, Ferreira MCS, Oliveira MRM. Food practices and their meanings in the daily routine of a university. Rev Nutr. 2019;32:e180208. https://doi.org/10.1590/1678-9865201932e180208
https://doi.org/10.1590/1678-9865201932e...

25 Silva DCA, Frazão IS, Osório MM, Vasconcelos MGL. Percepção de adolescentes sobre a prática de alimentação saudável. Ciênc Saúde Coletiva. 2015;20(11):3299-308. https://doi.org/10.1590/1413-812320152011.00972015
https://doi.org/10.1590/1413-81232015201...
-2626 Barufaldi LA, Abreu GA, Oliveira JS, Santos DF, Fujimori E, Vasconcelos SML, et al. ERICA: prevalence of healthy eating habits among Brazilian adolescents. Rev Saúde Pública. 2016;50(Suppl1):6s. https://doi.org/10.1590/s01518-8787.2016050006678
https://doi.org/10.1590/s01518-8787.2016...
]. Nutritional knowledge alone does not guarantee healthy eating habits because the actual behavior is dependent on food beliefs, taboos, and so on [2525 Silva DCA, Frazão IS, Osório MM, Vasconcelos MGL. Percepção de adolescentes sobre a prática de alimentação saudável. Ciênc Saúde Coletiva. 2015;20(11):3299-308. https://doi.org/10.1590/1413-812320152011.00972015
https://doi.org/10.1590/1413-81232015201...
,2727 Vollmer RL, Baietto J. Practices and preferences: exploring the relationships between food-related parenting practices and child food preferences for high fat and/or sugar foods, fruits, and vegetables. Appetite. 2017;113:134-40. https://doi.org/10.1016/j.appet.2017.02.019
https://doi.org/10.1016/j.appet.2017.02....
]. Children’s eating behavior is most susceptible to external interference because they are not the ones purchasing and preparing the food they consume [1111 Vieira DAS, Castro MA, Fisberg M, Fisberg RM. Nutritional quality of dietary patterns of children: are there differences inside and outside school? J Pediatr. 2017;93(1):47-57. https://doi.org/10.1016/j.jped.2016.03.008
https://doi.org/10.1016/j.jped.2016.03.0...
,1717 Correa RS, Vencato PH, Rockett FC, Bosa VL. Dietary patterns: are there diferences between children and adolescentes? Ciênc Saúde Coletiva. 2017;22(2):553-62. https://doi.org/10.1590/1413-81232017222.09422016
https://doi.org/10.1590/1413-81232017222...
,2626 Barufaldi LA, Abreu GA, Oliveira JS, Santos DF, Fujimori E, Vasconcelos SML, et al. ERICA: prevalence of healthy eating habits among Brazilian adolescents. Rev Saúde Pública. 2016;50(Suppl1):6s. https://doi.org/10.1590/s01518-8787.2016050006678
https://doi.org/10.1590/s01518-8787.2016...

27 Vollmer RL, Baietto J. Practices and preferences: exploring the relationships between food-related parenting practices and child food preferences for high fat and/or sugar foods, fruits, and vegetables. Appetite. 2017;113:134-40. https://doi.org/10.1016/j.appet.2017.02.019
https://doi.org/10.1016/j.appet.2017.02....

28 Bogea EG, Martins MLB, Carvalho WRC, Arruda SPM, França AKTC, Silva AAM. Padrões alimentares de crianças de 13 a 35 anos de idade e associações com características maternas. Cad Saúde Pública. 2019;35(4)e00072618. https://doi.org/10.1590/0102-311x00072618
https://doi.org/10.1590/0102-311x0007261...
-2929 Kracht CL, Sisson SB, Guseman EH, Hubbs-Tait L, Arnold SH, Graef J, et al. Family eating behavior and child eating patterns differences between children with and without siblings. J Nutr Educ Behav. 2019;51(10):1188-93. https://doi.org/10.1016/j.jneb.2019.08.004
https://doi.org/10.1016/j.jneb.2019.08.0...
], in addition to attitudes, control practices, and beliefs of family members in relation to their food that directly influence the construction of eating habits even in childhood [99 Ferreira APS, Szwarcwald CL, Damacena GN. Prevalência e fatores associados da obesidade na população brasileira: estudo com dados aferidos da Pesquisa Nacional de Saúde, 2013. Rev Bras Epidemiol. 2019;22:e190024. https://doi.org/10.1590/1980-549720190024
https://doi.org/10.1590/1980-54972019002...
,1515 Vilela S, Severo M, Moreira T, Oliveira A, Hetherington MM, Lopes C. Association between eating frequency and eating behaviours related to appetite from 4 to 7 years of age: findings from the population-based birth cohort generation XXI. Appetite. 2019;132:82-90. https://doi.org/10.1016/j.appet.2018.10.002
https://doi.org/10.1016/j.appet.2018.10....
,2525 Silva DCA, Frazão IS, Osório MM, Vasconcelos MGL. Percepção de adolescentes sobre a prática de alimentação saudável. Ciênc Saúde Coletiva. 2015;20(11):3299-308. https://doi.org/10.1590/1413-812320152011.00972015
https://doi.org/10.1590/1413-81232015201...
,3030 Pedroso J, Toral N, Gubert MB. Maternal attitudes, beliefs and practices related to the feeding and nutritional status of schoolchildren. Rev Nutr. 2019;32:e180184. https://doi.org/10.1590/1678-9865201932e180184
https://doi.org/10.1590/1678-9865201932e...
,3131 Ramos DC, Coelho TCB. Representação social de mães sobre alimentação e uso de estimulantes do apetite em crianças: satisfação, normalidade e poder. Physis. 2017;27(2):233-54. https://doi.org/10.1590/s0103-73312017000200004
https://doi.org/10.1590/s0103-7331201700...
].

The influence of caregivers on children’s nutritional status should be investigated and detailed in order to increase the possibilities of intervention in the family environment, which may impact the prevention and treatment of childhood obesity. Therefore, this study aimed to investigate the influence of attitudes, beliefs, and eating practices of those responsible, and their nutritional status, on the eating habits and nutritional status of children.

METHODS

This was a cross-sectional study that evaluated 164 children aged between 6 and 9 years, together with a caregiver responsible for feeding them (n=164), who lived in the area covered by 1 of the 9 Family Health Units (FHU) in the city of Ribeirão Preto (SP), Brazil. The sample was defined based on the total number of children enrolled at FHU (n=4,401) in the municipality. The sample size was established based on the variance of results from a pilot study [3232 Chow SC, Shao J, Wang H. Sample size calculations in clinical research. New York: Marcel Dekker; 2008.].

The study received approval from the Ethics Committee (decision number CAAE n. 49127115.5.0000.5407). Data collection was performed by the principal researcher at the FHU between April and July 2016. The sampling process was random; children accompanied by the caregivers who attended the FHU during this period were invited to participate in the study. An interview was conducted in an FHU room, with both children and caregivers, and they also underwent anthropometric assessment (weight and height measurement).

A sample characterization questionnaire consisting of identification and sociodemographic data (age, gender, parent-child relationship) of the children and their respective caregivers was used. Weight and height were computed with a compact scale and stadiometer (digital scale, with a capacity of 180kg and graduation of 100g: stadiometer with a wooden ruler, extension up to 213cm, and accuracy of 0.1cm). For the measurements, the children and their caregivers were instructed to remove ornaments, shoes, items from the pockets and hair props, standing upright in the center of the device, with arms extended along the body and head at right angles to the neck, looking at a fixed point at eye level. The nutritional status evaluation was based on the Body Mass Index (BMI), respecting the cutoffs for age group children older than 5 years and adolescents up to 19 years old, adult caregivers (aged between 20 and 59 years) e elderly (60 years or older) [3333 Ministério da Saúde (Brasil). Orientações para a coleta e análise de dados antropométricos em serviços de saúde: Norma Técnica do Sistema de Vigilância Alimentar e Nutricional. Brasília: Ministério; 2011 [citado 21 Fev 2020]. Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/orientacoes_coleta_analise_dados_antropometricos.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
].

The caregivers’ nutritional status was established according to life phases (adolescent, adult, and elderly). Still, to enable better visualization of the parents’ nutritional status (n=164), the classification results were grouped and presented together through absolute and relative frequency as well as that of children. McNemar’s test was applied to compare the children’s nutritional status and their cares.

To assess the viewpoints, attitudes, and practices of parents in relation to children’s feeding and the possible relationship between these factors and child obesity, a Brazilian version of the Child Feeding Questionnaire (CFQ) was applied [3434 Lorenzato L, Cruz ISM, Braga Costa TM, Almeida SS. Translation and cross-cultural adaptation of a Brazilian version of the Child Feeding Questionnaire. Paidéia. 2017;27(66):33-42. https://doi.org/10.1590/1982-43272766201705
https://doi.org/10.1590/1982-43272766201...
]. The CFQ consists of 31 questions, divided into 7 factors: 4 factors that measure the report of parents’ beliefs regarding their child’s obesity-prone diet (Perceived Responsibility, Perceived Parent Weight, Perceived Child Weight, and Concern About Child Weight) and 3 factors that measure parental control practices and attitudes about child feeding (Restriction, Pressure to Eat, and Monitoring) [3434 Lorenzato L, Cruz ISM, Braga Costa TM, Almeida SS. Translation and cross-cultural adaptation of a Brazilian version of the Child Feeding Questionnaire. Paidéia. 2017;27(66):33-42. https://doi.org/10.1590/1982-43272766201705
https://doi.org/10.1590/1982-43272766201...
].

As proposed by the authors of the original as well as those of the Brazilian version, the 31 questions of the CFQ are rated on a 5-point range from 1 to 5. Each question was scored, and there ultimately emerged a mean score for each factor [3434 Lorenzato L, Cruz ISM, Braga Costa TM, Almeida SS. Translation and cross-cultural adaptation of a Brazilian version of the Child Feeding Questionnaire. Paidéia. 2017;27(66):33-42. https://doi.org/10.1590/1982-43272766201705
https://doi.org/10.1590/1982-43272766201...
]. In this analysis, questions 11, 12, and 13 (concerning the child weight perception factor) were withdrawn because the ages of the children in this study did not make it possible to obtain answers to these questions for all children.

The Child Feeding Questionnaire score results are presented in terms of their median (Q1-Q3) and minimum-maximum values. The Kruskal-Wallis test was applied to establish the relationship between each of the 7 CFQ factors and the children’s nutritional status. For CFQ factors that presented p<0.05, in the Kruskal-Wallis test (Factors 3, 4, and 6), Dunn’s test was performed.

To evaluate the frequency of adherence to the Ministry of Health’s 9 steps for a healthy diet, for both children and caregivers was used in the questionnaire by Vinholes et al. [3535 Vinholes DB, Assunção MCF, Neutzling MB. Frequência de hábitos saudáveis de alimentação medidos a partir dos 10 Passos da Alimentação Saudável do Ministério da Saúde: Pelotas, Rio Grande do Sul, Brasil. Cad Saúde Pública. 2009;25(4):791-99. https://doi.org/10.1590/S0102-311X2009000400010
https://doi.org/10.1590/S0102-311X200900...
]. After determining each individual’s adherence or non-adherence to each of the 9 steps, 3 categories were created: high adherence (adherence meets 7 to 9 steps), average adherence (adherence meets 4 to 6 steps), and low adherence (adherence meets no more than 3 steps). For associations between nutritional status and step adherence (both children and caregivers), Fisher’s exact test was performed.

To evaluate the overall quality of children’s and caregivers’ diets, the 24h recall technique, referring to the previous day’s feeding, was applied. The 24h recall was used to calculate the Brazilian Healthy Eating Index Revised (BHEI-R), the current Brazilian version of the Healthy Eating Index (HEI), originally developed in the United States. The BHEI-R has 12 elements: 9 of them are based on the food groups of the first Food Guide for the Brazilian Population (total cereals; whole grains; total fruits; whole fruits; total vegetables; dark green and orange vegetables and legumes; milk and derivatives; meat, eggs, and legumes; and oils), 2 components are nutrients (sodium and saturated fat), and the last component consists of calories from Solid Fats, Alcohols, and Added Sugars (SoFAAS) [3636 Assumpção D, Domene SMA, Fisberg RM, Canesqui AM, Barros MBA. Diferenças entre homens e mulheres na qualidade da dieta: estudo de base populacional em Campinas, São Paulo. Ciênc Saúde Coletiva. 2017;22(2):347-58. https://doi.org/10.1590/1413-81232017222.16962015
https://doi.org/10.1590/1413-81232017222...

37 Ferrari TK, Cesar CLG, Alves MCGP, Barros MBA, Goldbaum M, Fisberg RM. Estilo de vida saudável em São Paulo, Brasil. Cad Saúde Pública. 2017;33(1):e00188015. https://doi.org/10.1590/0102-311x00188015
https://doi.org/10.1590/0102-311x0018801...

38 Mendes A, Gavioli L, Previdelli AN, Fisberg RM, Marchioni DML. The diet quality index evaluates the adequacy of energy provided by dietary macronutrients. Rev Nutr. 2015;28(4):341-8. https://doi.org/10.1590/1415-52732015000400001
https://doi.org/10.1590/1415-52732015000...

39 Andrade SC, Previdelli AN, Cesar CLG, Marchioni DML, Fisberg RM. Trends in diet quality among adolescents, adults and older adults: a population-based study. Prev Med Rep. 2016;4:391-6. https://doi.org/10.1016/j.pmedr.2016.07.010
https://doi.org/10.1016/j.pmedr.2016.07....
-4040 Mendes A, Pereira JL, Fisberg RM, Marchioni DML. Dietary energy was associated with diet quality in Brazilian adults and older adults. Appetite. 2016;97:120-6. https://doi.org/10.1016/j.appet.2015.11.025
https://doi.org/10.1016/j.appet.2015.11....
].

The Brazilian Healthy Eating Index Revised was calculated according to the instructions listed in the roadmap provided by the Food Consumption Assessment Research Group [4141 Grupo de Pesquisa de Avaliação do Consumo Alimentar (São Paulo). Roteiro para o cálculo o Índice de Qualidade da Dieta Revisado (IQD-R). São Paulo: Universidade de São Paulo; 2018 [citado 10 dez 2018]. Disponível em: http://gac-usp.com.br/wp-content/uploads/2020/01/Roteiro-para-calcular-o-%C3%8Dndice-de-Qualidade-da-Dieta_Revisado-_IQD-R_.pdf
http://gac-usp.com.br/wp-content/uploads...
]. The final rating of the BHEI-R can range from 0 to 100 [3838 Mendes A, Gavioli L, Previdelli AN, Fisberg RM, Marchioni DML. The diet quality index evaluates the adequacy of energy provided by dietary macronutrients. Rev Nutr. 2015;28(4):341-8. https://doi.org/10.1590/1415-52732015000400001
https://doi.org/10.1590/1415-52732015000...
]. Three procedures were employed to draw conclusions from the BHEI-R evidence: (1) data were analyzed descriptively; (2) paired t-Student test (comparing the scores of children and their caregivers); and (3) individuals who obtained a final score greater than the third tertile were categorized with an adequate diet (BHEI-R>61.7 points for caregivers and BHEI-R>57.0 for children). All data were computed and analyzed using statistical tests appropriate to the objectives and through descriptive statistics. The significance level was set at 5% (p<0.05) [4242 International Business Machines Corporation. Statistical Package for Social Sciences. version 23.0 [software]. Chicago: IBM; 2015.

43 StataCorp. Stata Statistical Release 13. [software]. College Station: StataCorp LP; 2013.
-4444 Statistical Analysis System/Statistical analysis: SAS/STAT® User’s Guide. version 9.0. [software]. Cary: SAS Institute Inc.; 2002.].

RESULTS

The sample consisted of 164 children aged 6 to 9 years (and their respective caregivers): 96 (58.5%) were female and 68 (41.5%) were male. The age division was: 6-7 years and 8-9 years, both with 82 (50%) children. Of the 164 responsible, the majority (n=158; 96.3%) were female. The age groups of the caregivers were: 18-29 years (n=34; 20.7%), 30-44 years (n=88; 53.7%), 45-59 years (n=26; 15.8%), and 60 years or older (n=16; 9.8%). Mothers represented most of the caregivers (n=123; 75.0%), but there were also some grandparents (n=28; 17.1%), fathers (n=6; 3.6%), and other caregivers (n=7, 4.3%).

The Table 1 presents the categorization of the nutritional status of the children and their caregivers, separated by age group, and Table 2 shows an association (p<0.01) between the nutritional status of the children and their caregivers. It is noteworthy that of the 56 children who were overweight (overweight or obese), 46 caregivers were overweight, and 72.3% of the caregivers who had an adequate weight also had their child with an appropriate weight.

Table 1
Nutritional status of the participants. Ribeirão Preto (SP), Brazil, 2016.
Table 2
Comparison between classification of the nutritional status of children and their respective caregivers. Ribeirão Preto (SP), Brazil, 2016.

The median values of the 7 factors of the CFQ were as follows: Perception of Responsibility: 4.3 (CI95% 1.3-5.0); Parental Weight Perception: 3.2 (CI95% 2.0-5.0); Perception of Child‘s Weight: 3.0 (CI95% 1.7-5.0); Concern about the child’s weight: 3.2 (CI95% 1.0-5.0); Restriction: 3.3 (CI95% 1.0-4.6); Pressure to Eat: 3.75 (CI95% 1.0-5.0); and monitoring: 4.0 (CI95% CI 1.0-5.0). The results of the 7 factors of the CFQ were also separated according to children’s nutricional status (see Table 3 for detailed results) in order to verify if any stronger correlations could be obtained. In Factor 3, the significant difference was between underweight and normal weight. In Factors 4 and 6, a statistically significant difference was only found between normal weight and underweight.

Table 3
Descriptive analysis of the 7 factors of the Child Feeding Questionnaire, with results separated by children’s nutritional status. Ribeirão Preto (SP), Brazil, 2016.

Table 4 shows the frequencies of adherence to healthy eating steps of children and caregivers separated by the nutritional status. To compare the variables (adherence levels and nutritional status), Fisher’s exact test was performed, which showed an association between adequate weight and the levels of medium and high adherence (p<0.01).

Table 4
Absolute and relative frequency of parents’ adherence to the 9 steps of healthy eating, separated by nutritional status. Ribeirão Preto (SP), Brazil, 2016.

When comparing children’s levels of adherence to the healthy eating steps with those of their respective caregivers, it was observed that for the 45 children who demonstrated high adherence, 21 (46.7%) of the caregivers also demonstrated high adherence. Twenty-four (53.3%) of the caregivers demonstrated average adherence, and none demonstrated low adherence. Among the 110 children who demonstrated average adherence, 84 (76.4%) of the caregivers demonstrated average adherence, 20 (18.2%) demonstrated high adherence, and only 6 (5.4%) demonstrated low adherence.

The interval of the third tertile of the BHEI-R score, which indicates a healthy diet, was found to vary between 61.7 and 92.0 points for caregivers and 57.0 and 85.3 points for children. Female children obtained a higher mean BHEI-R score (52.0±14.38) than male children (47.3±11.97); this mean difference was approximately 4.7 points, and the difference between the 2 groups was found to be statistically significant (p<0,05). Figure 1 shows caregivers’ and children’s dispersion indicators of the BHEI-R by age group. When a comparison was made between the paired data (paired t-test) of the BHEI-R of the children and their respective caregivers with the BHEI-R, the estimated difference was 6.5 points.

Figure 1
Brazilian Healthy Eating Index Revised of caregivers and children, separated by age group. Ribeirão Preto (SP), Brazil, 2016.

DISCUSSION

The mean scores of the monitoring factor did not significantly differ among caregivers of children with different nutritional status, a pattern was noted: caregivers responsible for normal weight children had the highest score, followed by those responsible for overweight children. Lastly, caregivers who monitor less are those whose children are underweight, similar to other studies [3030 Pedroso J, Toral N, Gubert MB. Maternal attitudes, beliefs and practices related to the feeding and nutritional status of schoolchildren. Rev Nutr. 2019;32:e180184. https://doi.org/10.1590/1678-9865201932e180184
https://doi.org/10.1590/1678-9865201932e...
,4545 Karp SM, Barry KM, Gesell SB, Po’e EK, Dietrich MS, Barkin SL. Parental feeding patterns and child weight status for Latino preschoolers. Obes Res Clin Pract. 2014;8(1):e88-e97. https://doi.org/10.1016/j.orcp.2012.08.193
https://doi.org/10.1016/j.orcp.2012.08.1...
].

It was evident that when restricting the consumption of certain foods, caregivers took into account the weight of their child. The highest mean of restriction practices was detected among caregivers responsible for children with severe obesity, followed by those caring for obese and overweight children [33 Magalhães TCA, Vieira SA, Priore SE, Ribeiro AQ, Franceschini SCC, Sant’Ana LFR. Fatores associados à dislipidemia em crianças de 4 a 7 anos de idade. Rev Nutr. 2015;28(1):17-28. https://doi.org/10.1590/1415-52732015000100002
https://doi.org/10.1590/1415-52732015000...
,3030 Pedroso J, Toral N, Gubert MB. Maternal attitudes, beliefs and practices related to the feeding and nutritional status of schoolchildren. Rev Nutr. 2019;32:e180184. https://doi.org/10.1590/1678-9865201932e180184
https://doi.org/10.1590/1678-9865201932e...
,4646 Pinheiro-Carozzo NP, Oliveira JHA. Comportamento alimentar: um estudo da relação entre IMC de crianças e sua percepção sobre as práticas alimentares parentais. Estud Interdiscip Psicol. 2015;6(1):21-35. https://doi.org/10.5433/2236-6407.2015v6n1p21
https://doi.org/10.5433/2236-6407.2015v6...
]. This is consistent with the literature identifying this practice as a caregiver’s first choice to control overweight children’s consumption of unhealthy foods [33 Magalhães TCA, Vieira SA, Priore SE, Ribeiro AQ, Franceschini SCC, Sant’Ana LFR. Fatores associados à dislipidemia em crianças de 4 a 7 anos de idade. Rev Nutr. 2015;28(1):17-28. https://doi.org/10.1590/1415-52732015000100002
https://doi.org/10.1590/1415-52732015000...
,99 Ferreira APS, Szwarcwald CL, Damacena GN. Prevalência e fatores associados da obesidade na população brasileira: estudo com dados aferidos da Pesquisa Nacional de Saúde, 2013. Rev Bras Epidemiol. 2019;22:e190024. https://doi.org/10.1590/1980-549720190024
https://doi.org/10.1590/1980-54972019002...
]. However, this practice is classified as dangerous in the long term because the child bases the choice and quantity of food on parental rules and not on knowledge about nutrition or indicators of hunger and satiety [99 Ferreira APS, Szwarcwald CL, Damacena GN. Prevalência e fatores associados da obesidade na população brasileira: estudo com dados aferidos da Pesquisa Nacional de Saúde, 2013. Rev Bras Epidemiol. 2019;22:e190024. https://doi.org/10.1590/1980-549720190024
https://doi.org/10.1590/1980-54972019002...
,3030 Pedroso J, Toral N, Gubert MB. Maternal attitudes, beliefs and practices related to the feeding and nutritional status of schoolchildren. Rev Nutr. 2019;32:e180184. https://doi.org/10.1590/1678-9865201932e180184
https://doi.org/10.1590/1678-9865201932e...
,4646 Pinheiro-Carozzo NP, Oliveira JHA. Comportamento alimentar: um estudo da relação entre IMC de crianças e sua percepção sobre as práticas alimentares parentais. Estud Interdiscip Psicol. 2015;6(1):21-35. https://doi.org/10.5433/2236-6407.2015v6n1p21
https://doi.org/10.5433/2236-6407.2015v6...
].

The mean scores of CFQ factors in Karp’s et al. [4545 Karp SM, Barry KM, Gesell SB, Po’e EK, Dietrich MS, Barkin SL. Parental feeding patterns and child weight status for Latino preschoolers. Obes Res Clin Pract. 2014;8(1):e88-e97. https://doi.org/10.1016/j.orcp.2012.08.193
https://doi.org/10.1016/j.orcp.2012.08.1...
] study were similar to the present study, with the greatest similarity in Perceived Responsibility (Karp et al. [4545 Karp SM, Barry KM, Gesell SB, Po’e EK, Dietrich MS, Barkin SL. Parental feeding patterns and child weight status for Latino preschoolers. Obes Res Clin Pract. 2014;8(1):e88-e97. https://doi.org/10.1016/j.orcp.2012.08.193
https://doi.org/10.1016/j.orcp.2012.08.1...
]: 4.3; present study: 4.2), showing that when working with a caregiver who is not necessarily the mother, it is possible to consider the individual most present in the daily life of the child and who may exert a greater influence on the eating habit, since it is he/she who often selects, prepares, and makes available the foods that the child consumes.

A study showed that children/adolescents from the most dysfunctional families demonstrated the greatest interest in food (regardless of the parents’ weight). Children who perceived their family environments as supportive and who had the freedom to express their feelings demonstrated a more controlled food intake and healthier eating styles [4747 Coelho HM, Pires AP. Relações familiares e comportamento alimentar. Psic: Teor Pesq. 2014;30(1):45-52. https://doi.org/10.1590/S0102-37722014000100006
https://doi.org/10.1590/S0102-3772201400...
].

Aiming to include children whose main caregiver is an adult other than the mother, some studies defined caregivers as those most involved in the care of the child [4545 Karp SM, Barry KM, Gesell SB, Po’e EK, Dietrich MS, Barkin SL. Parental feeding patterns and child weight status for Latino preschoolers. Obes Res Clin Pract. 2014;8(1):e88-e97. https://doi.org/10.1016/j.orcp.2012.08.193
https://doi.org/10.1016/j.orcp.2012.08.1...

46 Pinheiro-Carozzo NP, Oliveira JHA. Comportamento alimentar: um estudo da relação entre IMC de crianças e sua percepção sobre as práticas alimentares parentais. Estud Interdiscip Psicol. 2015;6(1):21-35. https://doi.org/10.5433/2236-6407.2015v6n1p21
https://doi.org/10.5433/2236-6407.2015v6...

47 Coelho HM, Pires AP. Relações familiares e comportamento alimentar. Psic: Teor Pesq. 2014;30(1):45-52. https://doi.org/10.1590/S0102-37722014000100006
https://doi.org/10.1590/S0102-3772201400...

48 Sousa NFC, Javorski M, Sette GCS, Pontes CM, Santos AHS, Leal LP. Practices of mothers and caregivers in the implementation of the ten steps for healthy feeding. Texto Contexto Enferm. 2019;28:e20170596. https://doi.org/10.1590/1980-265x-tce-2017-0596
https://doi.org/10.1590/1980-265x-tce-20...
-4949 Marques MS, Silva JR, Lima CAG, Maia EMGC. Prevalência de sobrepeso e obesidade entre crianças de 7 a 10 anos atendidas em unidade de Estratégia Saúde da Família: ESF. Rev Bras Med Fam Comunidade. 2015;10(37):1-9. https://doi.org/10.5712/rbmfc10(37)1032
https://doi.org/10.5712/rbmfc10(37)1032...
]. However, the results of this study illustrated that women are still the main caregivers of children.

Lorenzato et al. [3434 Lorenzato L, Cruz ISM, Braga Costa TM, Almeida SS. Translation and cross-cultural adaptation of a Brazilian version of the Child Feeding Questionnaire. Paidéia. 2017;27(66):33-42. https://doi.org/10.1590/1982-43272766201705
https://doi.org/10.1590/1982-43272766201...
] pointed out that children’s nutritional status is correlated with that of their caregivers, reinforcing the importance of the family environment in the development of children’s eating habits and, consequently, in their nutritional status. Other studies have shown that, in addition to genetic factors, many factors in the family environment can directly interfere with children’s eating behavior, especially strategies adopted by those responsible for feeding them [22 Prado MTA, Aoyagui TAC, Scarcelli ALM, Fernani DCGL, Massetti T, Silva TD, et al. Anthropometric profile, eating habits and physical activity levels of students in a city in the state of São Paulo. Med Express. 2016;3(6):M160604. https://doi.org/10.5935/medicalexpress.2016.06.04
https://doi.org/10.5935/medicalexpress.2...
,55 Freitas FR, Moraes DEB, Warkentin S, Mais LA, Ivers JF, Taddei JAAC. Maternal restrictive feeding practices for child weight control and associated characteristics. J Pediatr. 2019;95(2):201-8. https://doi.org/10.1016/j.jped.2017.12.009
https://doi.org/10.1016/j.jped.2017.12.0...
,2525 Silva DCA, Frazão IS, Osório MM, Vasconcelos MGL. Percepção de adolescentes sobre a prática de alimentação saudável. Ciênc Saúde Coletiva. 2015;20(11):3299-308. https://doi.org/10.1590/1413-812320152011.00972015
https://doi.org/10.1590/1413-81232015201...
,2727 Vollmer RL, Baietto J. Practices and preferences: exploring the relationships between food-related parenting practices and child food preferences for high fat and/or sugar foods, fruits, and vegetables. Appetite. 2017;113:134-40. https://doi.org/10.1016/j.appet.2017.02.019
https://doi.org/10.1016/j.appet.2017.02....
,3030 Pedroso J, Toral N, Gubert MB. Maternal attitudes, beliefs and practices related to the feeding and nutritional status of schoolchildren. Rev Nutr. 2019;32:e180184. https://doi.org/10.1590/1678-9865201932e180184
https://doi.org/10.1590/1678-9865201932e...
].

Children’s and caregivers’ levels of adherence to the healthy eating steps were very similar (67.1% of the children and 68.3% of the caregivers demonstrated average adherence). It is noteworthy that all children with normal weight demonstrated average or high adherence, while among caregivers with normal weight, only 1 demonstrated low adherence to the steps. Almost half of the caregivers who demonstrated high adherence were overweight, and these individuals may be inadequate in the amount of food consumed and not in quality.

It is to be noted that the ingestion of foods considered healthy, both by children and their caregivers, does not indicate the exclusion of high-calorie foods with low nutritional content [88 Sparrenberger K, Friedrich RR, Schiffner MD, Schuch I, Wagner MB. Ultra-processed food consumption in children from a Basic Health Unit. J Pediatr. 2015;91(6):535-42. https://doi.org/10.1016/j.jped.2015.01.007
https://doi.org/10.1016/j.jped.2015.01.0...
,1111 Vieira DAS, Castro MA, Fisberg M, Fisberg RM. Nutritional quality of dietary patterns of children: are there differences inside and outside school? J Pediatr. 2017;93(1):47-57. https://doi.org/10.1016/j.jped.2016.03.008
https://doi.org/10.1016/j.jped.2016.03.0...
,5050 Salles-Costa R, Barroso GS, Cabral M, Castro MBT. Parental dietary patterns and social determinants of children’s dietary patterns. Rev Nutr. 2016;29(4):483-93. https://doi.org/10.1590/1678-98652016000400004
https://doi.org/10.1590/1678-98652016000...
]. One can also think about reverse causality, where the individual who identifies a health problem, such as being overweight, starts to look for a healthier diet as part of the treatment or prevention of diseases.

Among the children with high adherence (n=45), a large proportion had normal weight (n=38). Of the 112 children with average adherence, 84 caregivers also demonstrated average adherence. All children with high adherence had caregivers with average or high adherence. The similarity found between the levels of adherence to the steps of healthy eating for children and their caregivers suggests a similar eating pattern among family members. It should be emphasized that in a cross-sectional study, the results found cannot infer a causal relationship, or even that consumption data are considered usual because only a 2-hour recall was applied.

The mean of the children’s BHEI-R score was lower than that of their caregivers, indicating a greater need for dietary modification. Among the children, the girls obtained significantly higher scores than boys (p<0,05), similarly to findings of other studies [1010 Pereira LJ, Hinnig PF, Di Pietro PF, Assis MAA, Vieira FGK. Trends in food consumption of schoolchildren from 2nd to 5th grade: a panel data analysis. Rev Nutr. 2020;33:e190164. https://doi.org/10.1590/1678-9865202033e190164
https://doi.org/10.1590/1678-9865202033e...
,5151 Moraeus L, Lissner L, Olsson L, Sjöberg A. Age and time effects on children’s lifestyle and overweight in Sweden. Bmc Public Health. 2015:15;355. https://doi.org/10.1186/s12889-015-1635-3
https://doi.org/10.1186/s12889-015-1635-...
]. Other studies using the BHEI-R have also demonstrated that a large percentage of individuals have a score that indicates the need for diet modification [3636 Assumpção D, Domene SMA, Fisberg RM, Canesqui AM, Barros MBA. Diferenças entre homens e mulheres na qualidade da dieta: estudo de base populacional em Campinas, São Paulo. Ciênc Saúde Coletiva. 2017;22(2):347-58. https://doi.org/10.1590/1413-81232017222.16962015
https://doi.org/10.1590/1413-81232017222...
,2323 Oliveira MC, Calahani IM, Previdelli AN, Malta MB, Corrente JE, Papini SJ. Aplicação do Índice de Qualidade da Dieta revisado antes e após orientação nutricional. Rev Ciênc Méd. 2015;24(1):29-36. https://doi.org/10.24220/2318-0897v24n1a2308
https://doi.org/10.24220/2318-0897v24n1a...
]. The pattern of food consumption by caregivers is increasingly pointed out as one of the factors associated with the child’s food pattern, and this influence started even in early childhood [5050 Salles-Costa R, Barroso GS, Cabral M, Castro MBT. Parental dietary patterns and social determinants of children’s dietary patterns. Rev Nutr. 2016;29(4):483-93. https://doi.org/10.1590/1678-98652016000400004
https://doi.org/10.1590/1678-98652016000...
].

Several explanations have been offered to account for individuals’ eating behavior and nutritional status, particularly during childhood. Family-members have crucial importance in this regard because their attitudes and control practices affect children. Nonetheless, it is necessary to highlight and bring awareness to the fact that the causes of obesity exceed environmental factors.

It is not possible to jointly assess all aspects of the family influence on children’s nutritional status and eating habits. In this context, a drawback of this research was to evaluate part of the spectrum of children’s eating behavior and their respective caregivers. A second shortcoming worth mentioning was evaluating the eating behavior in a single day, which may not always correspond to the habitual behaviors of the sampled individuals.

CONCLUSION

The nutritional status and the caregivers’ food consumption are associated with nutritional status and children’s food consumption. Some control practices of caregivers in relation to the child’s food, such as pressure to eat and restriction, were connected to the perception that the caregivers had in the context of the child’s nutritional status, highlighting these common practices, but which can cause a loss in behavior development child’s long-term diet.

ACKNOWLEDGMENTS

We are grateful to Dr. Daniela S. Sartorelli for her suggestions concerning one of the indices applied here (BHEI) and to Ms. Laura S. Paulino for her assistance with data gathering. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, Coordination of Superior Level Staff Improvement).

  • Article elaborated from dissertation by GP SILVA, entitled “Avaliação da influência familiar no estado nutricional e hábito alimentar de crianças de seis a dez anos”. Universidade de São Paulo; 2017.

How to cite this article

REFERENCES

  • 1
    World Health Organization. Obesity and overweight. Geneva: Organization; 2018 [cited 2020 Jan 3]. Available from: http://www.who.int/mediacentre/factsheets/fs311/en/index.html
    » http://www.who.int/mediacentre/factsheets/fs311/en/index.html
  • 2
    Prado MTA, Aoyagui TAC, Scarcelli ALM, Fernani DCGL, Massetti T, Silva TD, et al Anthropometric profile, eating habits and physical activity levels of students in a city in the state of São Paulo. Med Express. 2016;3(6):M160604. https://doi.org/10.5935/medicalexpress.2016.06.04
    » https://doi.org/10.5935/medicalexpress.2016.06.04
  • 3
    Magalhães TCA, Vieira SA, Priore SE, Ribeiro AQ, Franceschini SCC, Sant’Ana LFR. Fatores associados à dislipidemia em crianças de 4 a 7 anos de idade. Rev Nutr. 2015;28(1):17-28. https://doi.org/10.1590/1415-52732015000100002
    » https://doi.org/10.1590/1415-52732015000100002
  • 4
    Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2008-2009: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: Instituto; 2010 [citado 4 jul 2019]. Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv45419.pdf
    » https://biblioteca.ibge.gov.br/visualizacao/livros/liv45419.pdf
  • 5
    Freitas FR, Moraes DEB, Warkentin S, Mais LA, Ivers JF, Taddei JAAC. Maternal restrictive feeding practices for child weight control and associated characteristics. J Pediatr. 2019;95(2):201-8. https://doi.org/10.1016/j.jped.2017.12.009
    » https://doi.org/10.1016/j.jped.2017.12.009
  • 6
    Rossi CE, Costa LCF, Machado MS, Andrade DF, Vasconcelos FAG. Fatores associados ao consumo alimentar na escola e ao sobrepeso/obesidade de escolares de 7-10 anos de Santa Catarina, Brasil. Ciênc Saúde Coletiva. 2019;24(2):443-54. https://doi.org/10.1590/1413-81232018242.34942016
    » https://doi.org/10.1590/1413-81232018242.34942016
  • 7
    Rocha NP, Milagres LC, Filgueiras MS, Suhett LG, Silva MA, Albuquerque FM, et al Associação dos padrões alimentares com excesso de peso e adiposidade corporal em crianças brasileiras: estudo Pase-Brasil. Arq Bras Cardiol. 2019;113(1):52-9. https://doi.org/10.5935/abc.20190113
    » https://doi.org/10.5935/abc.20190113
  • 8
    Sparrenberger K, Friedrich RR, Schiffner MD, Schuch I, Wagner MB. Ultra-processed food consumption in children from a Basic Health Unit. J Pediatr. 2015;91(6):535-42. https://doi.org/10.1016/j.jped.2015.01.007
    » https://doi.org/10.1016/j.jped.2015.01.007
  • 9
    Ferreira APS, Szwarcwald CL, Damacena GN. Prevalência e fatores associados da obesidade na população brasileira: estudo com dados aferidos da Pesquisa Nacional de Saúde, 2013. Rev Bras Epidemiol. 2019;22:e190024. https://doi.org/10.1590/1980-549720190024
    » https://doi.org/10.1590/1980-549720190024
  • 10
    Pereira LJ, Hinnig PF, Di Pietro PF, Assis MAA, Vieira FGK. Trends in food consumption of schoolchildren from 2nd to 5th grade: a panel data analysis. Rev Nutr. 2020;33:e190164. https://doi.org/10.1590/1678-9865202033e190164
    » https://doi.org/10.1590/1678-9865202033e190164
  • 11
    Vieira DAS, Castro MA, Fisberg M, Fisberg RM. Nutritional quality of dietary patterns of children: are there differences inside and outside school? J Pediatr. 2017;93(1):47-57. https://doi.org/10.1016/j.jped.2016.03.008
    » https://doi.org/10.1016/j.jped.2016.03.008
  • 12
    Bento BMA, Moreira AC, Carmo AS, Santos LC, Horta PM. A higher number of school meals is associated with a less-processed diet. J Pediatr. 2018;94(4):404-9. https://doi.org/10.1016/j.jped.2017.07.016
    » https://doi.org/10.1016/j.jped.2017.07.016
  • 13
    Jaime PC, Stopa SR, Oliveira TP, Vieira ML, Szwarcwald CL, Malta DC. Prevalência e distribuição sociodemográfica de marcadores de alimentação saudável, Pesquisa Nacional de Saúde, Brasil 2013. Epidemiol Serv Saúde. 2015;24(2):267-76. https://doi.org/10.5123/S1679-49742015000200009
    » https://doi.org/10.5123/S1679-49742015000200009
  • 14
    Pinto A, Santos AC, Lopes C, Oliveira A. Dietary patterns at 7 year-old and their association with cardiometabolic health at 10 year-old. Clin Nutr. 2020;39(4):1195-202. https://doi.org/10.1016/j.clnu.2019.05.007
    » https://doi.org/10.1016/j.clnu.2019.05.007
  • 15
    Vilela S, Severo M, Moreira T, Oliveira A, Hetherington MM, Lopes C. Association between eating frequency and eating behaviours related to appetite from 4 to 7 years of age: findings from the population-based birth cohort generation XXI. Appetite. 2019;132:82-90. https://doi.org/10.1016/j.appet.2018.10.002
    » https://doi.org/10.1016/j.appet.2018.10.002
  • 16
    Cornwell B, Villamor E, Mara-Plazas M, Marin C, Monteiro CA, Baylin A. Processed and ultra-processed foods are associated with lower-quality nutrient profiles in children from Colombia. Public Health Nutr. 2018;21(1):142-7. https://doi.org/10.1017/S1368980017000891
    » https://doi.org/10.1017/S1368980017000891
  • 17
    Correa RS, Vencato PH, Rockett FC, Bosa VL. Dietary patterns: are there diferences between children and adolescentes? Ciênc Saúde Coletiva. 2017;22(2):553-62. https://doi.org/10.1590/1413-81232017222.09422016
    » https://doi.org/10.1590/1413-81232017222.09422016
  • 18
    Pinhão S, Poínhos R, Franchini B, Afonso C, Teixeira VH, Moreira P, et al Avaliação da ingestão energética e em macronutrientes da população adulta portuguesa. Rev Port Saúde Pública. 2016;34(3):220-35. https://doi.org/10.1016/j.rpsp.2016.06.004
    » https://doi.org/10.1016/j.rpsp.2016.06.004
  • 19
    Oliveira A, Jones L, Lauzon-Guillain B, Emmett P, Moreira P, Charles MA, et al Early problematic eating behaviours are associated with lower fruit and vegetable intake and less dietary variety at 4-5 years of age: a prospective analysis of three European birth cohorts. Br J Nutr. 2015;114(5):763-71. https://doi.org/10.1017/s0007114515002287
    » https://doi.org/10.1017/s0007114515002287
  • 20
    Lopes RVC, Teixeira JA, Marchioni DM, Villa LL, Giuliano AR, Fisberg RM. Improvement in dietary intake estimates through the combined use of different approaches. Rev Nutr. 2019;32:e180137. https://doi.org/10.1590/1678-9865201932e180137
    » https://doi.org/10.1590/1678-9865201932e180137
  • 21
    Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, et al Comparison of self-reported dietary intakes from the automated self-administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr. 2018;107:80-93. https://doi.org/10.1093/ajcn/nqx002
    » https://doi.org/10.1093/ajcn/nqx002
  • 22
    Monteiro LS, Hassan BK, Estima CCP, Souza AMS, Verly Junior E, Sichieri R, et al Food consumption according to the days of the week: National Food Survey, 2008-2009. Rev Saúde Pública. 2017;51:93. https://doi.org/10.11606/s1518-8787.2017051006053
    » https://doi.org/10.11606/s1518-8787.2017051006053
  • 23
    Oliveira MC, Calahani IM, Previdelli AN, Malta MB, Corrente JE, Papini SJ. Aplicação do Índice de Qualidade da Dieta revisado antes e após orientação nutricional. Rev Ciênc Méd. 2015;24(1):29-36. https://doi.org/10.24220/2318-0897v24n1a2308
    » https://doi.org/10.24220/2318-0897v24n1a2308
  • 24
    Galasi-Pacheco LF, Vieira CM, Ferreira MCS, Oliveira MRM. Food practices and their meanings in the daily routine of a university. Rev Nutr. 2019;32:e180208. https://doi.org/10.1590/1678-9865201932e180208
    » https://doi.org/10.1590/1678-9865201932e180208
  • 25
    Silva DCA, Frazão IS, Osório MM, Vasconcelos MGL. Percepção de adolescentes sobre a prática de alimentação saudável. Ciênc Saúde Coletiva. 2015;20(11):3299-308. https://doi.org/10.1590/1413-812320152011.00972015
    » https://doi.org/10.1590/1413-812320152011.00972015
  • 26
    Barufaldi LA, Abreu GA, Oliveira JS, Santos DF, Fujimori E, Vasconcelos SML, et al ERICA: prevalence of healthy eating habits among Brazilian adolescents. Rev Saúde Pública. 2016;50(Suppl1):6s. https://doi.org/10.1590/s01518-8787.2016050006678
    » https://doi.org/10.1590/s01518-8787.2016050006678
  • 27
    Vollmer RL, Baietto J. Practices and preferences: exploring the relationships between food-related parenting practices and child food preferences for high fat and/or sugar foods, fruits, and vegetables. Appetite. 2017;113:134-40. https://doi.org/10.1016/j.appet.2017.02.019
    » https://doi.org/10.1016/j.appet.2017.02.019
  • 28
    Bogea EG, Martins MLB, Carvalho WRC, Arruda SPM, França AKTC, Silva AAM. Padrões alimentares de crianças de 13 a 35 anos de idade e associações com características maternas. Cad Saúde Pública. 2019;35(4)e00072618. https://doi.org/10.1590/0102-311x00072618
    » https://doi.org/10.1590/0102-311x00072618
  • 29
    Kracht CL, Sisson SB, Guseman EH, Hubbs-Tait L, Arnold SH, Graef J, et al Family eating behavior and child eating patterns differences between children with and without siblings. J Nutr Educ Behav. 2019;51(10):1188-93. https://doi.org/10.1016/j.jneb.2019.08.004
    » https://doi.org/10.1016/j.jneb.2019.08.004
  • 30
    Pedroso J, Toral N, Gubert MB. Maternal attitudes, beliefs and practices related to the feeding and nutritional status of schoolchildren. Rev Nutr. 2019;32:e180184. https://doi.org/10.1590/1678-9865201932e180184
    » https://doi.org/10.1590/1678-9865201932e180184
  • 31
    Ramos DC, Coelho TCB. Representação social de mães sobre alimentação e uso de estimulantes do apetite em crianças: satisfação, normalidade e poder. Physis. 2017;27(2):233-54. https://doi.org/10.1590/s0103-73312017000200004
    » https://doi.org/10.1590/s0103-73312017000200004
  • 32
    Chow SC, Shao J, Wang H. Sample size calculations in clinical research. New York: Marcel Dekker; 2008.
  • 33
    Ministério da Saúde (Brasil). Orientações para a coleta e análise de dados antropométricos em serviços de saúde: Norma Técnica do Sistema de Vigilância Alimentar e Nutricional. Brasília: Ministério; 2011 [citado 21 Fev 2020]. Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/orientacoes_coleta_analise_dados_antropometricos.pdf
    » http://bvsms.saude.gov.br/bvs/publicacoes/orientacoes_coleta_analise_dados_antropometricos.pdf
  • 34
    Lorenzato L, Cruz ISM, Braga Costa TM, Almeida SS. Translation and cross-cultural adaptation of a Brazilian version of the Child Feeding Questionnaire. Paidéia. 2017;27(66):33-42. https://doi.org/10.1590/1982-43272766201705
    » https://doi.org/10.1590/1982-43272766201705
  • 35
    Vinholes DB, Assunção MCF, Neutzling MB. Frequência de hábitos saudáveis de alimentação medidos a partir dos 10 Passos da Alimentação Saudável do Ministério da Saúde: Pelotas, Rio Grande do Sul, Brasil. Cad Saúde Pública. 2009;25(4):791-99. https://doi.org/10.1590/S0102-311X2009000400010
    » https://doi.org/10.1590/S0102-311X2009000400010
  • 36
    Assumpção D, Domene SMA, Fisberg RM, Canesqui AM, Barros MBA. Diferenças entre homens e mulheres na qualidade da dieta: estudo de base populacional em Campinas, São Paulo. Ciênc Saúde Coletiva. 2017;22(2):347-58. https://doi.org/10.1590/1413-81232017222.16962015
    » https://doi.org/10.1590/1413-81232017222.16962015
  • 37
    Ferrari TK, Cesar CLG, Alves MCGP, Barros MBA, Goldbaum M, Fisberg RM. Estilo de vida saudável em São Paulo, Brasil. Cad Saúde Pública. 2017;33(1):e00188015. https://doi.org/10.1590/0102-311x00188015
    » https://doi.org/10.1590/0102-311x00188015
  • 38
    Mendes A, Gavioli L, Previdelli AN, Fisberg RM, Marchioni DML. The diet quality index evaluates the adequacy of energy provided by dietary macronutrients. Rev Nutr. 2015;28(4):341-8. https://doi.org/10.1590/1415-52732015000400001
    » https://doi.org/10.1590/1415-52732015000400001
  • 39
    Andrade SC, Previdelli AN, Cesar CLG, Marchioni DML, Fisberg RM. Trends in diet quality among adolescents, adults and older adults: a population-based study. Prev Med Rep. 2016;4:391-6. https://doi.org/10.1016/j.pmedr.2016.07.010
    » https://doi.org/10.1016/j.pmedr.2016.07.010
  • 40
    Mendes A, Pereira JL, Fisberg RM, Marchioni DML. Dietary energy was associated with diet quality in Brazilian adults and older adults. Appetite. 2016;97:120-6. https://doi.org/10.1016/j.appet.2015.11.025
    » https://doi.org/10.1016/j.appet.2015.11.025
  • 41
    Grupo de Pesquisa de Avaliação do Consumo Alimentar (São Paulo). Roteiro para o cálculo o Índice de Qualidade da Dieta Revisado (IQD-R). São Paulo: Universidade de São Paulo; 2018 [citado 10 dez 2018]. Disponível em: http://gac-usp.com.br/wp-content/uploads/2020/01/Roteiro-para-calcular-o-%C3%8Dndice-de-Qualidade-da-Dieta_Revisado-_IQD-R_.pdf
    » http://gac-usp.com.br/wp-content/uploads/2020/01/Roteiro-para-calcular-o-%C3%8Dndice-de-Qualidade-da-Dieta_Revisado-_IQD-R_.pdf
  • 42
    International Business Machines Corporation. Statistical Package for Social Sciences. version 23.0 [software]. Chicago: IBM; 2015.
  • 43
    StataCorp. Stata Statistical Release 13. [software]. College Station: StataCorp LP; 2013.
  • 44
    Statistical Analysis System/Statistical analysis: SAS/STAT® User’s Guide. version 9.0. [software]. Cary: SAS Institute Inc.; 2002.
  • 45
    Karp SM, Barry KM, Gesell SB, Po’e EK, Dietrich MS, Barkin SL. Parental feeding patterns and child weight status for Latino preschoolers. Obes Res Clin Pract. 2014;8(1):e88-e97. https://doi.org/10.1016/j.orcp.2012.08.193
    » https://doi.org/10.1016/j.orcp.2012.08.193
  • 46
    Pinheiro-Carozzo NP, Oliveira JHA. Comportamento alimentar: um estudo da relação entre IMC de crianças e sua percepção sobre as práticas alimentares parentais. Estud Interdiscip Psicol. 2015;6(1):21-35. https://doi.org/10.5433/2236-6407.2015v6n1p21
    » https://doi.org/10.5433/2236-6407.2015v6n1p21
  • 47
    Coelho HM, Pires AP. Relações familiares e comportamento alimentar. Psic: Teor Pesq. 2014;30(1):45-52. https://doi.org/10.1590/S0102-37722014000100006
    » https://doi.org/10.1590/S0102-37722014000100006
  • 48
    Sousa NFC, Javorski M, Sette GCS, Pontes CM, Santos AHS, Leal LP. Practices of mothers and caregivers in the implementation of the ten steps for healthy feeding. Texto Contexto Enferm. 2019;28:e20170596. https://doi.org/10.1590/1980-265x-tce-2017-0596
    » https://doi.org/10.1590/1980-265x-tce-2017-0596
  • 49
    Marques MS, Silva JR, Lima CAG, Maia EMGC. Prevalência de sobrepeso e obesidade entre crianças de 7 a 10 anos atendidas em unidade de Estratégia Saúde da Família: ESF. Rev Bras Med Fam Comunidade. 2015;10(37):1-9. https://doi.org/10.5712/rbmfc10(37)1032
    » https://doi.org/10.5712/rbmfc10(37)1032
  • 50
    Salles-Costa R, Barroso GS, Cabral M, Castro MBT. Parental dietary patterns and social determinants of children’s dietary patterns. Rev Nutr. 2016;29(4):483-93. https://doi.org/10.1590/1678-98652016000400004
    » https://doi.org/10.1590/1678-98652016000400004
  • 51
    Moraeus L, Lissner L, Olsson L, Sjöberg A. Age and time effects on children’s lifestyle and overweight in Sweden. Bmc Public Health. 2015:15;355. https://doi.org/10.1186/s12889-015-1635-3
    » https://doi.org/10.1186/s12889-015-1635-3

Publication Dates

  • Publication in this collection
    15 Mar 2021
  • Date of issue
    2021

History

  • Received
    18 June 2020
  • Reviewed
    30 Oct 2020
  • Accepted
    25 Nov 2020
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