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. 2020 Aug 27;24(11):3322–3330. doi: 10.1017/S1368980020002839

Ultra-processed foods and early childhood caries in 0–3‐year‐olds enrolled at Primary Healthcare Centers in Southern Brazil

Maurício Santos de Souza 1, Juliana dos Santos Vaz 2,3, Thais Martins-Silva 3, Rafael Aiello Bomfim 4, Andreia Morales Cascaes 5,*
PMCID: PMC10195266  PMID: 32847638

Abstract

Objective:

To investigate the relationship between ultra-processed food consumption and early childhood caries.

Design:

Cross-sectional analysis of baseline data from a cluster randomised controlled study. Outcomes included the prevalence of children with non-cavitated and cavitated caries. The main exposure was the total daily consumption of ultra-processed foods (up to three times and four times or more), assessed through a FFQ. Potential confounders were socio-demographic characteristics of the child and caregiver/family, child breast-feeding, oral hygiene and use of dental services. Poisson regression using robust variance adjustment was used to estimate prevalence ratios (PR) and their respective 95 % CI.

Setting:

Primary Healthcare Centers in an urban area of Pelotas, Southern Brazil.

Participants:

Children aged 0–3 years (n 309).

Results:

Consumption of ultra-processed foods four times or more a day was found in 67·6 % of children; 24·4 and 12·0 % presented non-cavitated and cavitated caries, respectively. After adjustment, children who consumed ultra-processed foods four times or more a day were more likely to present both non-cavitated caries (PR 2·25, 95 % CI 1·19, 4·27, P = 0·013) and cavitated caries (PR 3·48, 95 % CI 1·18, 10·30, P = 0·024) compared with those who have consumed them up to three times a day.

Conclusions:

Consumption of ultra-processed foods is associated with early childhood caries. Interventions aiming at reducing ultra-processed food consumption should be implemented to improve children’s oral health.

Keywords: Ultra-processed foods, Dental caries, Child, Primary care


Brazilian dietary habits are in the process of nutritional transition(1). A decrease in the consumption of naturally and minimally processed foods, such as rice, beans, fruit and vegetables, and an increase in the consumption of ultra-processed foods, rich in oils, sugars and synthetic substances, such as soft drinks, biscuits, processed meats and instant pasta have been noticed (2).

The NOVA system was created to classify foods based on the extent and degree of processing used in their products into four groups: unprocessed or minimally processed foods (group 1), processed culinary ingredients (group 2), processed foods (group 3) and ultra-processed food and drink products (group 4)(3). NOVA is a valid tool for nutrition and public health and has been recognised by the Brazilian Ministry of Health and international organisations such as the Food and Agriculture Organisation of the United Nations and the Pan American Health Organisation(3). As these products are easily accessible and prepared, ready or pre-prepared for consumption and attractive to the palate, the consumption of foods from the ultra-processed group has become increasingly present in the food routine of the population in Brazil and worldwide(4). Moreover, ultra-processed foods have been produced at very low cost and heavily marketed, particularly to low-income families(5).

Interest in research to monitor the consumption of ultra-processed foods in the population, as well as their association with health outcomes is growing. Consumed at high frequency, these foods can contribute to the increased prevalence of chronic non-communicable diseases and conditions in childhood and adolescence, such as obesity(6) and cardiovascular problems(7). Childhood is a critical stage in the acquisition of eating behaviours and exposure to future health problems and illnesses(8), making it relevant to prioritise investigations in this period of life.

While the topic of ultra-processed foods consumption has been explored for various health outcomes(9), its role in oral health is not well known. Although the causal relationship between sugar and dental caries is already well established(1012), most studies have investigated only foods that contain sucrose in their formulation(13), which does not include some ultra-processed foods. Current evidence indicates that sucrose is not the only carbohydrate with cariogenic potential, meaning that it could cause caries, and that foods containing other types of fermentable carbohydrates tend to be retained in the teeth for a longer period, contributing to the development of the disease(14,15).

Dental caries is the most prevalent chronic disease in preschool children in the world(16) and has serious negative impacts on quality of life(17) as well as high treatment costs for the family and society(18). The disease is caused by the complex interaction of socio-economic risk factors (e.g., low maternal educational attainment and low household income) with low access to and use of preventive health services, which increase the likelihood of risky behaviours such as high consumption of cariogenic foods and irregular oral hygiene(19).

The new Dietary Guidelines for Brazilian Children Under Two Years of Age, published in 2019(20), recognises the relationship between ultra-processed foods and caries and recommends the non-consumption of these foods before the age of 2 years. After this age, the diet should be essentially based on unprocessed or minimally processed foods with limited consumption of processed and ultra-processed foods(21). However, to our knowledge, the consumption of ultra-processed foods, according to the definition of the NOVA system, has not been explored in relation to childhood oral health outcomes. From the public health practical point of view, it is useful to explore the influence of consumption of ultra-processed foods on oral health, focusing at producing evidence to be translated into interdisciplinary and multi-sectoral population interventions(22). The current study aimed to investigate the relationship between the daily frequency of ultra-processed food consumption and the presence of caries in children from 0 to 3 years of age, registered in Primary Healthcare Centers (PHC) in Brazil. The hypothesis tested in the study is that the consumption of ultra-processed foods four times or more a day is associated with early childhood caries and that child age modifies this effect.

Methods

Study population and design

This is a cross-sectional analysis of baseline data from a cluster randomised controlled trial, conducted in the urban area of the municipality of Pelotas, Southern Brazil (Brazilian Clinical Trial Registry protocol number RBR-74jbmn)(23). The baseline was conducted between September and December 2015.

Pelotas has 329 435 inhabitants, 22 500 children, from 0 to 5 years old, predominantly living in the urban area, with access to public fluoridated water supply(24). In 2015, the Public Health System of Pelotas was composed of a total of twenty-four PHC offering Family Health Teams in the urban area, and eight of these had Oral Health Teams. Of the total of eight eligible PHC, four were included in the trial because they had the following characteristics: (i) belonged to the urban area, (ii) had a full-time Oral Health Team working at the PHC for at least 1 year, (iii) had a minimum of 200 children aged 0–5 years registered at the PHC in the last year and (iv) offered perinatal care and childcare. Four PHC were excluded for presenting: (i) non-comparable socio-economic and health indicators, (ii) other oral or nutritional health interventions in progress and (iii) a differentiated work process, such as having a dental hygienist on the team.

The sample calculation was based on the fixed number of two clusters available for each group and seventy-five children per cluster (n 300), with an intra-class correlation coefficient of 0·05, a power of 80 % and significance level of 0·05 to detect minimum differences between groups ranging from 12 to 16 %(25). For the final sample, 30 % was added to cover losses and rejections throughout the study (n 390). The children were randomly selected in proportion to the number and age of enrolled children in each micro area of the PHC territories. Only children who had at least one tooth (n 309) were included in the current study.

Data collection was carried out in the children’s homes by a team composed of sixteen interviewers and two dentists, accompanied by the community health worker responsible for each micro area. The caregivers answered a questionnaire and the children received an epidemiological oral examination for caries evaluation. The team received theoretical and practical training to conduct interviews and examinations. The questionnaire was pretested with a sample of caregivers of children with the same age as the target population for comprehension and language adjustment. Dentists were calibrated for the examination of tooth surfaces using the gold standard examiner method. Excellent agreement was obtained with the gold standard for assessing caries in children (minimum κ of 0·90). Detailed information about the study methodology can be found in another publication(23).

Oral health assessment (main outcome)

Early childhood caries was defined as an outcome of the study and was evaluated separately by the presence of non-cavitated caries (active and inactive white spots) and cavitated caries using the decayed, missing and filled surfaces due to caries index (dmf-s index). The criteria for evaluating non-cavitated caries considered the presence of stains located at the level of tooth enamel, in areas of stagnation of dental biofilm (cervical, occlusal and proximal). Non-cavitated caries was classified as inactive when intact stains presented shiny and smooth, white, yellowish or brownish appearance and was classified as active when intact stains presented white, opaque or rough appearance. Cavitated caries was evaluated according to the WHO criteria and recommendations(26). Both outcomes were dichotomised in the absence and presence of children with caries.

Ultra-processed food consumption (main exposure)

The daily frequency of ultra-processed food consumption was investigated using an FFQ, containing thirty-five items answered by the caregiver. This FFQ was adapted from similar instruments previously used in studies of the Pelotas birth cohorts(27,28) and the list of food consumption markers in Brazil(29). The Pelotas birth cohorts assessed all foods as single items (e.g., list of different types of fruit). We grouped some items into an overall group that represents that type of food (e.g., ‘fruit or fruit salad’), such as the healthy and unhealthy eating markers for the Brazilian population(29). Ultra-processed foods items were detailed in our FFQ, given that these were the exposures of interest to our study. The period that the FFQ refers to is the last 30 days. It evaluated the number of times each ultra-processed food was consumed, as well as its periodicity: daily, weekly or monthly, with a continuous scale. The amount or portion size was not asked. The ultra-processed foods investigated accounted for fifteen items: chocolate powder, dairy sweetened beverage, artificial juice, canned fruit juice, instant noodles, salty crackers, sweet-filled biscuit/cracker, snacks (chips), hamburgers and sausages, chocolate bars/bonbons, candies/caramels, gum/lollypop, regular sodas, light soft drinks, gelatin, and ice cream/popsicle. These items meet the criteria for ultra-processed foods according to the NOVA Food Classification System(3): ‘industrial formulations made entirely or mostly from substances extracted from foods (oils, fats, sugar, starch, and proteins), derived from food constituents (hydrogenated fats and modified starch), or synthesized in laboratories from food substrates or other organic sources (flavour enhancers, colours, and several food additives used to make the product hyper-palatable)’.

The ultra-processed food consumption frequencies were added together and transformed into the daily unit, categorising total daily consumption into (i) up to three times and (ii) four times or more. This categorisation was chosen for two reasons. Initially, the intention was to use the variable in four categories of consumption: not consumed, consumed 1–2 times a day, consumed three times a day or consumed four times or more a day. However, there were no children with caries in the ‘did not consume’ and ‘consumed 1–2 times a day’ categories, which made it impossible to perform adjusted analyses. Thus, the dichotomous categorisation (up to three times v. four times or more) was established based on evidence from oral health promotion studies, which discuss an increased risk for caries in children when foods containing sucrose are consumed four times or more a day(30).

Covariates and potential confounders

Socio-demographic characteristics of the caregivers/families and children, as well as oral hygiene and use of dental services by the children, were assessed as covariates and potential confounding factors. The caregiver/family socio-demographic variables were degree of kinship with the children (mother or others), caregiver age (16–29, 20–44 and 45 or more years), caregiver marital status (married or living with a partner; single or without a partner), caregiver educational attainment (0–4, 5–8 and 9 or more years of study) and per capita family income. The socio-demographic variables for children were gender (female and male), child age (≤2 or >2 to 3 years), skin colour (white and black/brown) and breast-feeding status (mean time in months).

Child oral hygiene was considered the age at which the child started brushing/cleaning his/her teeth (at 12 months or earlier, after 12 months and never brushed/cleaned). Child use of dental services was characterised by having been to the dentist or not, together with the reason for the last visit, categorised into: have been to the dentist for routine or prevention purposes, have been to the dentist for pain or treatment and have never been to the dentist.

Statistical analyses

The data were analysed using the Stata/IC 14.2 statistical programme. Initially, a descriptive analysis was performed, presenting the absolute and relative frequencies of the categorical variables and the average of total and individual daily consumption of ultra-processed foods in children with no caries, non-cavitated caries (white spots) and cavitated caries (dmf-s index). Bivariate and adjusted Poisson regression analyses were conducted to examine the association between daily consumption of ultra-processed foods and the presence of non-cavitated caries (white spots) and cavitated caries (dmf-s index). The analyses used robust variance adjustment, obtaining prevalence ratios (PR) and their respective 95 % CI. The robust variance fit can be considered an adjustment for overdispersion of zeros, something common in cross sectional studies with binary outcomes with great inequality in distribution, such as dental caries(31). The variables for fitting were added at three levels. On the first level, socio-demographic variables related to the caregiver/family were included. On the second level, demographic variables related to the child and breast-feeding status were included. Finally, variables related to child oral hygiene and use of dental services were included. Only variables with P < 0·20 in the bivariate analysis were considered as potential confounding variables of the relationship between daily consumption of ultra-processed foods and caries and, therefore, were included in the model for adjustment. The final model considered the value of P < 0·05 to identify the independent association of the daily consumption of ultra-processed foods with the analysed outcomes. The interaction between child age and daily ultra-processed food consumption on the occurrence of early childhood caries was estimated. The adjusted prevalence of non-cavitated caries (white spots) and cavitated caries (dmf-s index) was presented according to different combinations between child age and daily ultra-processed food consumption.

Results

Table 1 presents the distribution of the sample and the outcomes concerning the socio-economic and demographic characteristics of the participants and children’s behaviours. The majority of the children’s caregivers were mothers (79·0 %), aged between 16 and 29 years (52·4 %), married or living with a partner (87·7 %) and with 9 or more years of schooling (52·8 %). Per capita family income of the richest tercile was on average R$ 742·89 (equivalent to $US 187·59). Regarding children, 53·4 % were girls and 81·6 % were of white skin colour. Average duration of breast-feeding was 14·6 (sd 14) months. More than half (62·0 %) started brushing/cleaning their teeth at 12 months or earlier. On the other hand, 71·2 % had never been to the dentist and 17·2 % had been to the dentist for routine or prevention purposes. Total daily consumption of ultra-processed foods four times or more was found in 67·6 % of the children.

Table 1.

Sample and outcomes distribution according to caregiver/family and child socio-economic and demographic characteristics and child health behaviours (n 309) (Pelotas/RS, Brazil, 2015)

Variables Sample distribution Non-cavitated caries (white spot) Cavitated caries (dmf-s index)
n % % 95 % CI P-value crude * % 95 % CI P-value crude *
Caregiver/family
 Caregiver
  Mother 244 79·0 20·5 15·9, 26·1 0·931 9·0 6·0, 13·3 0·666
  Others 65 21·0 20·0 11·9, 31·6 10·8 5·2, 21·1
 Caregiver’s age (years)
  16–29 162 52·4 20·4 14·8, 27·3 0·045 6·8 3·8, 11·9 0·194
  30–44 130 42·1 17·7 12·0, 25·3 11·5 7·0, 18·3
  45 or more 17 5·5 41·2 20·5, 65·5 17·6 5·6, 43·8
 Caregiver marital status
  Married/living with a partner 271 87·7 20·7 16·2, 25·9 0·751 9·2 6·3, 13·3 0·796
  Single/without a partner 38 12·3 18·4 8·9, 34·0 10·5 3·9, 25·2
 Caregiver education (years)†
  0–4 21 6·9 33·3 16·4, 56·0 0·026 14·3 4·5, 37·0 0·129
  5–8 123 40·3 26·0 19·0, 34·5 13·0 8·1, 20·3
  9 or more 161 52·8 14·9 10·2, 21·3 6·2 3·4, 11·2
 Family income per capita (tertile)
  1 (average R$ 19 054) 96 32·3 25·0 17·3, 34·7 0·458 11·5 6·4, 19·6 0·709
  2 (average R$ 36 498) 105 35·4 18·1 11·8, 26·7 8·6 4·5, 15·7
  3 (average R$ 74 289) 96 32·3 19·8 12·9, 29·1 8·3 4·2, 15·9
Children
 Sex
  Female 165 53·4 20·6 15·1, 27·5 0·919 11·5 7·4, 17·4 0·177
  Male 144 46·6 20·1 14·3, 27·5 6·9 3·8, 12·5
 Age (years)
  ≤2 159 51·5 10·7 6·7, 16·6 <0·001 3·1 1·3, 7·4 0·001
  >2 to 3 150 48·5 30·7 23·8, 38·6 16·0 10·9, 22·8
 Skin colour
  White 252 81·6 20·6 16·1, 26·1 0·822 9·1 6·1, 13·4 0·743
  Black/brown 57 18·4 19·3 10·9, 31·8 10·5 4·8, 21·7
 Breast-feeding
  Mean time in months (sd) 14·6 14·0 17·1 13·5, 20·7 0·102 18·8 13·2, 24·5 0·086
 What age did you start to brush/clean your teeth?
  At 12 months or before 191 62·0 19·9 14·8, 26·2 0·103 9·9 6·4, 15·1 0·186
  After 12 months 58 18·8 29·3 19·0, 42·4 13·8 7·0, 25·4
  Never brushed/cleaned 59 19·2 13·6 6·9, 25·0 3·4 0·8, 12·8
 Dental service utilisation
  Routine or prevention 58 18·8 17·2 9·5, 29·3 0·384 6·9 2·6, 17·2 0·004
  Pain or treatment 31 10·0 29·0 15·6, 47·4 25·8 13·3, 44·2
  Never been to the dentist 220 71·2 20·0 15·2, 25·8 7·7 4·8, 12·1
 Total daily ultra-processed food consumption
  Up to three times 100 32·4 12·0 6·9, 20·0 0·017 4·0 1·5, 10·3 0·037
  Four times or more 209 67·6 24·4 19·0, 30·7 12·0 8·2, 17·1
*

P-value refers to Wald’s test.

Variable with twelve (family income), five (caregiver education) and one (age started to brush/clean your teeth) missing data.

In the oral examination, 20·4 % of children presented non-cavitated caries (white spots) and 9·4 % had cavitated caries (dmf-s index). The prevalence of non-cavitated caries (white spots) and cavitated caries (dmf-s index) was 24·4 and 12·0 %, respectively, in the group of children with total daily consumption of ultra-processed foods four times or more (Table 1).

Figure 1 describes the average daily consumption of each ultra-processed food among children without caries, with non-cavitated caries (white spot) and with cavitated caries (dmf-s index). The average daily consumption of ultra-processed foods was higher in children with cavitated caries compared with those with non-cavitated caries and without caries, except for gelatin, chocolate powder and sweet-filled biscuit/cracker. Similar findings were observed for children with non-cavitated caries (white spots) in relation to children with no caries, except for sweet-filled biscuit/cracker. The most frequently consumed ultra-processed foods were chocolate powder, dairy sweetened beverage and salty crackers. Light soft drinks and ice cream/popsicle were the foods with the lowest average consumption in all groups.

Fig. 1.

Fig. 1

Average daily consumption of ultra-processed foods in children aged 0–3 years without caries (Inline graphic), with non-cavitated caries (white spot, Inline graphic) and with cavitated caries (dmf-s index, Inline graphic) (n 309) (Pelotas/RS, Brazil, 2015)

In the bivariate analysis, children who consumed ultra-processed foods four times or more a day had an increased probability approximately two times greater of having non-cavitated caries (PR 2·02, 95 % CI 1·35, 3·64) and three times greater of having cavitated caries (PR 2·99, 95 % CI 1·07, 8·37), compared with those who consumed ultra-processed foods up to three times a day (Table 2). After adjustment for confounding, these associations remained similar. Children who consumed ultra-processed foods four times or more a day had approximately twice as much risk of presenting non-cavitated caries (PR 2·25, 95 % CI 1·19, 4·27) and approximately three times as much risk of cavitated caries (PR 3·48, 95 % CI 1·18, 11·30) compared with those who consumed them three times or less a day (Table 2).

Table 2.

Crude and adjusted Poisson regression analysis between the daily ultra-processed food consumption and the presence of non-cavitated caries (white spots) and cavitated caries (dmf-s index) in children aged 0–3 years (n 309) (Pelotas/RS, Brazil, 2015)*

Non-cavitated caries (white spots) Cavitated caries (dmf-s index)
PR 95 % CI P PR 95 % CI P
Crude model 2·02 1·35, 3·64 0·017 2·99 1·07, 8·37 0·037
Model 1 (first level) 1·79 0·99, 3·25 0·053 3·06 1·10, 8·50 0·032
Model 2 (second level) 2·25§ 1·19, 4·27 0·013 3·74 1·28, 10·89 0·016
Model 3 (third level/final) 2·25 1·19, 4·27 0·013 3·48** 1·18, 10·30 0·024

PR, prevalence ratio.

*

Daily ultra-processed food consumption (0 = up to three times and 1 = four times or more).

Adjusted for caregiver educational attainment.

Adjusted for caregiver age.

§

Adjusted for caregiver educational attainment and duration of breast-feeding.

Adjusted for caregiver age and duration of breast-feeding.

Adjusted for caregiver educational attainment and duration of breast-feeding.

**

Adjusted for caregiver age, duration of breast-feeding and dental service utilisation.

A significant interaction between child age and daily ultra-processed food consumption was found for non-cavitated caries (white spots) (P interaction = 0·012). Although this interaction was not significant for cavitated caries (dmf-s index) (P interaction = 0·381), the group of children aged >2 to 3 years with a daily frequency of four times or more of ultra-processed foods had the highest adjusted prevalence of both outcomes (Fig. 2).

Fig. 2.

Fig. 2

Adjusted prevalence of non-cavitated caries (white spots) and cavitated caries (dmf-s index) according to the interaction between child age (≤2 and >2 to 3 years) and daily ultra-processed food consumption (up to three times and four times or more) in children aged 0–3 years old (n 309) (Pelotas/RS, Brazil, 2015). *Adjusted for caregiver educational attainment and duration of breast-feeding; P interaction effect = 0·012. **Adjusted for caregiver age, duration of breast-feeding and dental service utilisation. P interaction effect = 0·381. Inline graphic, children aged >2 to 3 years with daily consumption of ultra-processed food four times or more (n 123); Inline graphic, children aged ≤2 years with daily consumption of ultra-processed food four times or more (n 27); Inline graphic, children aged >2 to 3 years with daily consumption of ultra-processed-foods up to three times (n 86); Inline graphic, children aged ≤2 years with daily consumption of ultra-processed-foods up to three times (n 73)

Discussion

To our knowledge, this is the first study to explore the association between ultra-processed foods and oral health based on the new definition proposed by the NOVA system. The current study showed that approximately two-thirds of children from 0 to 3 years of age consumed ultra-processed foods four times or more a day, and that this consumption is related to an increased probability of presenting caries in the first years of life. This relationship was stronger among children aged >2 to 3 years. PR and average daily consumption of ultra-processed foods were higher among children who had cavitated caries compared with those with non-cavitated caries, indicating a possible relationship between the dosage of these foods and the severity of the disease.

Previous studies carried out with Brazilian preschoolers also identify a high frequency of ultra-processed food consumption, characterising a deterioration of dietary habits in early childhood in different regions in the country. In São Luis Maranhão, Northern Brazil, it was estimated that 25 % of the total energy intake in a sample of children aged 13–35 months came from ultra-processed foods, and this consumption was higher among those over 16 months(32). A study conducted with a sample of children aged 2–9 years in Campinas, São Paulo, Southeastern Brazil, showed that consumption of ultra-processed foods was predominant (66 %)(33). In São Leopoldo, Rio Grande do Sul, Southern Brazil, a survey revealed that among 4-year-old children ultra-processed foods represented 42 % of the total energy consumed(34). Direct comparisons between these studies and the present one should be made with caution due to differences in children’ age, dietary methods applied to data collection and classification of ultra-processed foods.

In the current research, the most consumed ultra-processed foods were dairy sweetened beverage and chocolate powder, the latter possibly added to milk in bottles, a common eating behaviour in children of this age group. Many caregivers still believe that these foods are nutritious and healthy, which is why they might offer them to their children. Foods containing more than 5 g of sugars per serving are considered highly cariogenic and when in frequent contact with the oral cavity can cause caries(30). High amount of sugars is a characteristic of many dairy sweetened beverages, chocolate powder and chocolate milk beverages sold in Brazil. Evidence indicates that frequent daily consumption of potentially cariogenic foods is associated with increased occurrence of caries in preschool children(35,36), a finding that corroborates the findings of the current research. It has been well documented in the literature that public fluoridated water reduces the prevalence of caries at all ages(37,38). Given that our study population has access to fluoridated public water, we speculate that such findings could be even worse in those living in non-fluoridated areas.

Eating behaviours acquired early in life can influence oral health in a contemporary and prospective manner(28,35). In turn, consequences of caries, such as pain and tooth loss, are associated with difficulties in chewing and sleeping, worsening in the quality of diet and nutritional profile of individuals(39,40). Nutritional deficiencies can also cause various forms of damage to oral structures and tissues, generating a series of manifestations in the oral cavity(41). This evidence indicates the close relationship between diet and oral health, which reinforces the importance of studies in this issue.

The negative effect of cariogenic food consumption on oral health can be reduced through good oral hygiene practices and regular use of preventive dental services. Our findings indicate that the association between consumption of ultra-processed foods and caries remained significant independent of oral hygiene and preventive use of dental services. A longitudinal analysis of the 1993 Pelotas Birth Cohort study revealed that the caries lifetime increase was 66 % higher in the group of children with a high frequency of sugar consumption compared with those with low consumption, regardless of the use of dental services and regular oral hygiene(28). These results highlight the potential that effective interventions to change eating behaviours can have on children’s oral health outcomes, corroborating the argument of experts(42).

Some limitations of the current study should be discussed. One of them is the cross-sectional aspect of the analyses, which limits investigating the causal relationship of the associations obtained. This is not a population-based study and may underestimate the contribution of some risk factors. For example, the absence of some socio-economic factor effects, which are commonly associated with dental caries and food consumption patterns, may be due to the homogeneity of the sample as a result of the randomisation process. The sample was composed of children belonging to low-income families and users of PHC, which makes it difficult to generalise the findings to the Brazilian population who do not use the public health sector primary care. In the absence of a validated FFQ for the population from 0 to 3 years of age, an instrument was developed for the current study. Our FFQ did not include some foods that might be frequently consumed by children under the age of 3 years in developed countries (e.g., instant flours, sugary breakfast cereals and industrialised cakes). This may limit direct comparison with other studies across countries. In addition, no quantification of food consumed was evaluated, limiting the investigation of the relationship between ultra-processed food consumption quantity and dental caries. However, for oral health, the frequency of consumption of cariogenic foods is more important than the size of the portions consumed, since it is the frequent contact of the fermentable carbohydrate with the oral cavity that increases the risk for the disease(35). In the current study, it was not possible to compare non-consumption of ultra-processed foods v. categorisation from once-daily consumption, since no children who consumed ultra-processed foods up to twice a day presented caries. The vast majority of our children do not attend daycare centres, but in some situations, their care is shared by family members, such as grandparents or older siblings. This could have added another limiting aspect as the child’s diet was mentioned only by the main caregiver. However, we believe this is not a relevant limitation, as, at the age of the children surveyed, the majority of the caregivers responding are primarily responsible for the food provided to the child. Despite these limitations, our study has important methodological strengths, such as a trained team, standardised instruments for data collection and assessment of outcomes.

Conclusion

The current study indicates a positive relationship between the daily frequency of ultra-processed food consumption and the prevalence of caries in early childhood. The findings reinforce the importance of implementing interdisciplinary and multi-sectoral interventions aimed at promoting children’s healthy eating and oral health. Such interventions should include maternal−child health programmes to provide nutrition and oral health education for caregivers and families about avoiding feeding young children ultra-processed foods in combination with public policies to limit the marketing and consumption of these foods in early childhood. Longitudinal analyses from this and other studies are suggested to broaden the understanding of the influence of ultra-processed foods on children’s oral health. Future studies exploring the dose−response relationship in terms of frequency consumption of ultra-processed foods and oral health are suggested.

Acknowledgements

Acknowledgements: The authors thank the Department of Primary Healthcare of the Federal University of Pelotas and all volunteer research assistants who were involved in the current study. The authors specially thank all parents and children who took part of the current study. Financial support: The study data collection was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil − Finance Code 001 and data analyses by The National Council for Scientific and Technological Development (CNPq Process no. 421044/2018-7; Notice MCTI/CNPQ/Universal 28/2018). Conflict of interest: There are no conflicts of interest. Authorship: A.M.C. and M.S.S. designed the study protocol. A.M.C., J.d.S.V. and T.M.S. conducted the statistical analysis. M.S.S and A.M.C. wrote the first draft. A.M.C., J.d.S.V., T.M.S. and R.A.B. provided critical review. All authors reviewed and commented on subsequent drafts and approved the final manuscript. Ethics of human subject participation: The current study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by the Research Ethics Committee of the Federal University of Pelotas School of Medicine (protocol no. 1.206.247). Written informed consent was obtained from all caregivers.

References

  • 1. Batista Filho M & Rissin A (2003) Nutritional transition in Brazil: geographic and temporal trends. Cad Saude Publica 19, Suppl. 1, S181–S191. [DOI] [PubMed] [Google Scholar]
  • 2. Monteiro CA, Levy RB, Claro RM et al. (2011) Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public Health Nutr 14, 5–13. [DOI] [PubMed] [Google Scholar]
  • 3. Monteiro CA, Cannon G, Levy RB et al. (2016) NOVA. The star shines bright. World Nutr 7, 28–38. [Google Scholar]
  • 4. Monteiro CA, Moubarac J-C, Cannon G et al. (2013) Ultra-processed products are becoming dominant in the global food system. Obes Rev 14, Suppl. 2, S21–S28. [DOI] [PubMed]
  • 5. Martins APB, Levy RB, Claro RM et al. (2013) Increased contribution of ultra-processed food products in the Brazilian diet (1987–2009). Rev Saúde Pública 47, 656–665. [DOI] [PubMed] [Google Scholar]
  • 6. Costa CS, Del-Ponte B, Assuncao MCF et al. (2018) Consumption of ultra-processed foods and body fat during childhood and adolescence: a systematic review. Public Health Nutr 21, 148–159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Rauber F, Campagnolo PDB, Hoffman DJ et al. (2015) Consumption of ultra-processed food products and its effects on children’s lipid profiles: a longitudinal study. Nutr Metab Cardiovasc Dis 25, 116–122. [DOI] [PubMed] [Google Scholar]
  • 8. Craigie AM, Lake AA, Kelly AS et al. (2011) Tracking of obesity-related behaviours from childhood to adulthood: a systematic review. Maturitas 70, 266–284. [DOI] [PubMed] [Google Scholar]
  • 9. Monteiro CA, Cannon G, Lawrence M et al. (2019) Ultra-Processed Foods Diet Quality, and Health using the NOVA Classification System. Rome: FAO. [Google Scholar]
  • 10. Touger-Decker R & van Loveren C (2003) Sugars and dental caries. Am J Clin Nutr 78, S881–S892. [DOI] [PubMed] [Google Scholar]
  • 11. Breda J, Jewell J & Keller A (2019) The importance of the World Health Organization sugar guidelines for dental health and obesity prevention. Caries Res 23, 149–152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Sheiham A & James WPT (2015) Diet and dental caries: the pivotal role of free sugars reemphasized. J Dent Res 94, 1341–1347. [DOI] [PubMed] [Google Scholar]
  • 13. Moynihan PJ & Kelly SAM (2014) Effect on caries of restricting sugars intake: systematic review to inform WHO guidelines. J Dent Res 93, 8–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Gupta P, Gupta N, Pawar AP et al. (2013) Role of sugar and sugar substitutes in dental caries: a review. ISRN Dent 519, 421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Bradshaw DJ & Lynch RJ (2013) Diet and the microbial aetiology of dental caries: new paradigms. Int Dent J 63, Suppl. 2, 64–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Marcenes W, Kassebaum NJ, Bernabe E et al. (2013) Global burden of oral conditions in 1990–2010: a systematic analysis. J Dent Res 92, 592–597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Haag DG, Peres KG, Balasubramanian M et al. (2017) Oral conditions and health-related quality of life: a systematic review. J Dent Res 96, 864–874. [DOI] [PubMed] [Google Scholar]
  • 18. Listl S, Galloway J, Mossey PA et al. (2015) Global economic impact of dental diseases. J Dent Res 94, 1355–1361. [DOI] [PubMed] [Google Scholar]
  • 19. Selwitz RH, Ismail AI & Pitts NB (2007) Dental caries. Lancet 369, 51–59. [DOI] [PubMed] [Google Scholar]
  • 20. Ministério da Saúde (2019) Food Guideline for Brazilian Children Younger than 2-Years-Old. Brasília: Brazilian Ministry of Health.
  • 21. Ministério da Saúde (2014) Food Guideline for Brazilian Population. Brasília: Brazilian Ministry of Health.
  • 22. Leme ACB, Fisberg RM, Thompson D et al. (2019) Brazilian children’s dietary intake in relation to Brazil’s new nutrition guidelines: a systematic review. Curr Nutr Rep 8, 145–166. [DOI] [PubMed] [Google Scholar]
  • 23. Cascaes AM, Menegaz AM, Quevedo LA et al. (2018) Boca Boca Saudável: protocol and baseline findings of an oral health promotion cluster randomized controlled trial integrating primary healthcare in Brazil. Int J Current Res 10, 73785–73793. [Google Scholar]
  • 24. Instituto Brasileiro de Geografia e Estatística (2010) Censo brasileiro de 2010 [2010 Brazilian Census]. Rio de Janeiro: IBGE. [Google Scholar]
  • 25. Hemming K, Girling AJ, Sitch AJ et al. (2011) Sample size calculations for cluster randomised controlled trials with a fixed number of clusters. BMC Med Res Methodol 11, 102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. World Health Organization (2013) Oral Health Surveys: Basic Methods, 5th ed. Geneva: WHO. [Google Scholar]
  • 27. Bielemann RM, Motta JVS, Minten GC et al. (2015) Consumption of ultra-processed foods and their impact on the diet of young adults. Rev Saude Publica 49, 28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Peres MA, Sheiham A, Liu P et al. (2016) Sugar consumption and changes in dental caries from childhood to adolescence. J Dent Res 95, 388–394. [DOI] [PubMed] [Google Scholar]
  • 29. Ministério da Saúde (2015) Guideline for Markers of Food Consumption in Primary Care. Brasília: Brazilian Ministry of Health.
  • 30. Public Health England (2007) Delivering Better Oral Health: An Evidence-Based Toolkit for Prevention. London: Department of Health, British Association for the Study of Community Dentistry. [Google Scholar]
  • 31. Barros AJ & Hirakata VN (2003) Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol 3, 21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Batalha MA, Franca A, Conceição S et al. (2017) Processed and ultra-processed food consumption among children aged 13 to 35 months and associated factors. Cad Saude Publica 33, e00152016. [DOI] [PubMed] [Google Scholar]
  • 33. Mais LA, Warkentin S, Vega JB et al. (2018) Sociodemographic, anthropometric and behavioural risk factors for ultra-processed food consumption in a sample of 2–9-year-olds in Brazil. Public Health Nutr 21, 77–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Costa CS, Rauber F, Leffa PS et al. (2019) Ultra-processed food consumption and its effects on anthropometric and glucose profile: a longitudinal study during childhood. Nutr Metab Cardiovasc Dis 29, 177–184. [DOI] [PubMed] [Google Scholar]
  • 35. Feldens CA, Rodrigues PH, de Anastacio G et al. (2018) Feeding frequency in infancy and dental caries in childhood: a prospective cohort study. Int Dent J 68, 113–121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Park S, Lin M, Onufrak S et al. (2015) Association of sugar-sweetened beverage intake during infancy with dental caries in 6-year-olds. Clin Nutr Res 4, 9–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. McDonagh MS, Whiting PF, Wilson PM et al. (2000) Systematic review of water fluoridation. BMJ 321, 855–859. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Do LG, Miller J, Phelan C et al. (2014) Dental caries and fluorosis experience of 8–12-year-old children by early-life exposure to fluoride. Community Dent Oral Epidemiol 42, 553–562. [DOI] [PubMed] [Google Scholar]
  • 39. Psoter WJ, Reid BC & Katz RV (2005) Malnutrition and dental caries: a review of the literature. Caries Res 39, 441–447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. So M, Ellenikiotis YA, Husby HM et al. (2017) Early childhood dental caries, mouth pain, and malnutrition in the Ecuadorian Amazon region. Int J Environ Res Public Health 14, 550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Pflipsen M & Zenchenko Y (2017) Nutrition for oral health and oral manifestations of poor nutrition and unhealthy habits. Gen Dent 65, 36–43. [PubMed] [Google Scholar]
  • 42. Schulte AG & Tsakos G (2019) The joint ORCA-EADPH symposium on sugar: the oral health perspective – a commentary. Caries Res 53, 145–148. [DOI] [PMC free article] [PubMed] [Google Scholar]

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