1http://dx.doi.org/10.20396/bjos.v20i00.8661359 Volume 20 2021 e211359 Original Article 1 Department of Health Sciences and Child Dentistry, Piracicaba Dental School, University of Campinas (UNICAMP), Piracicaba, São Paulo, Brazil. 2 Department of Community Health Jundiai Medical School Jundiaí, São Paulo, Brazil. 3 Department of Physiatry and Nursing, Faculty of Health Sciences, University of Zaragoza, Spain. *Corresponding author: Maria da Luz Rosário de Sousa Av Limeira 901 Piracicaba, São Paulo, Brazil Email: luzsousa@unicamp.br Received for publication: October 9, 2020 Accepted: December 21, 2020 Effects of the intervention of the Multicenter Study IDEFICS on the prevalence of caries in Spanish children Vinícius Aguiar Lages1 , Maria Paula Rando Meirelles1 , Marília Jesus Batista2 , Carolina Matteussi Lino1 , Andréa Moscardini da Costa1 , Luis Alberto Moreno Aznar3 , Maria da Luz Rosário de Sousa1,* Aim: To evaluate the effects of an intervention for the prevention of obesity on the prevalence of dental caries disease in Spanish children. Methods: Two cities participated intervention study nested in a cohort IDEFICS (Identification and prevention of dietary and lifestyle induced health effects in children and infants): Huesca, where there was a 2-year intervention, which encouraged less sugar consumption; and Zaragoza (control). The prevalence of caries was evaluated by examining the 1st permanent molars in the 7-11 age range, using the ICDAS (International Caries Detection and Assessment System). These teeth erupt at 6 years of age and at the baseline (2007-2008) were free of caries because they were not present in the oral cavity. As outcomes, white spots were selected, combining the ICDAS criteria 1 and 2, and untreated caries, combining criteria 4, 5 and 6. Their  association with socioeconomic variables, BMI (Body Mass Index), frequency of sugar intake, sex and parents’ perceptions of their children, was investigated. To  do so, the chi-square test was applied (p<0.05). Results: The  sample consisted of 281 children. The prevalence of white spots and untreated caries was higher in Huesca, despite the intervention. There was no association between the outcomes and the variables studied (p>0.05). Conclusion: The intervention for the prevention of obesity did not exert any association with the prevalence of caries in Spanish children. Keywords: Oral health. Dental caries. Obesity. http://dx.doi.org/10.20396/bjos.v20i00.8661359 mailto:luzsousa@unicamp.br https://orcid.org/0000-0003-0110-3987 https://orcid.org/0000-0001-6197-1757 https://orcid.org/0000-0002-0379-3742 https://orcid.org/0000-0001-6686-3296 https://orcid.org/0000-0003-1734-1779 https://orcid.org/0000-0003-0454-653X https://orcid.org/0000-0002-0346-5060 2 Lages et al. Introduction The prevalence of childhood obesity has increased rapidly in Europe, and in other conti- nents, and has become a serious global public health problem1. This problem tends to persist into adult life, and is a risk factor in the occurrence of various chronic diseases, such as cardiovascular disease and diabetes1. The fact that eating habits are a key common etiological component of both obesity and dental caries2 stimulates interest as the latter is also a serious public health problem in several countries3 and the preva- lence of both diseases can be reduced with healthy diets and low sugar consumption2. Studies on the relationship between obesity and dental caries present inconclusive results. Some have shown a positive association between them2, while others4 show no relationship between these factors in schoolchildren, but found that the higher the parents’ educational level, the lower the prevalence of obesity and dental caries among their children. Socioeconomic inequalities can create unequal opportunities among people5 and have different effects on these diseases, as they are influenced by factors such as education, income and saccharose-rich diets2,5. Thus, new methodologies are necessary to verify this association. Studies of school- based interventions6 have been effective in improving the health and behavioral con- ditions of adolescents, considering that the school period is an essential phase for acquiring knowledge, modifying and creating healthier lifestyle habits. Different meth- ods of interventions6  have managed to cause positive changes in lifestyle through increased consumption of fruits and vegetables and increased levels of physical activ- ity. However, the scientific literature lacks studies of this type focused on oral health. To face this growth of obesity in the population, the multicentric IDEFICS (Identifi- cation and prevention of dietary- and lifestyle-induced health effects in children and infants) was set up, with intervention modules which addressed diet, physical activity, and stress management7. It was a prospective cohort study in a large diverse sample of children in Europe, which started at the beginning in 2007. It investigated the causes of dietary and life- style-related diseases and disorders, with a main focus on overweight and obesity8. This cohort involved the drawing up, implementation and assessment of a communi- ty-oriented intervention program for the primary prevention of obesity in a controlled study project7. Spain was the focus of this study and it took place in the cities of Zaragoza and Huesca. The I.FAMILY study, which continued from the IDEFICS, verified determinants of eating behavior in children, adolescents and their parents of European origin9. Based on data collected from more than 10,000 children who were under 10 years old in the IDEFICS study, the I.FAMILY reevaluated these children and their families and identified those who maintained healthy diets and eating habits from the intervention program and compared them to children who had not received the intervention9. This phase, which began in 2013, included the oral health assessment of Spanish children participating, thereby providing a pioneering Dentistry study within a cohort with a focus on behav- iors, lifestyles and eating habits. The purpose of this study was to evaluate the effects of an intervention for the prevention of obesity on the prevalence of dental caries disease in Spanish children. 3 Lages et al. Materials and Methods The IDEFICS and IFAMILY studies A cohort of 16224 children between 2 to 9-year-olds from eight European countries (Sweden, Germany, Hungary, Italy, Cyprus, Spain, Belgium and Estonia) participated in the first population survey of the IDEFICS study. Defined as T0, it took place between September 2007 and May 2008 was the first stage (baseline) of the prospective cohort study and was the initial stage for the IDEFICS intervention (Figure A). All children in the defined age group residing in the regions studied and attending public primary schools (grades 1 and 2), preschools or kindergartens were eligible to participate. In addition to the signed informed consent provided by parents, each child was invited to give their verbal approval. The T0 exams included anthropometric data, lifestyle, biological markers, behavioral and sociodemographic characteristics and were based on a highly standardized protocol, as set out by Ahrens et al.8 (2011). The IDEFICS study was not designed with population representativeness of each country. In most countries, the regions selected were individual cities or communi- ties, most of which were located in the same geographical area. The intervention and control regions in each country were selected for convenience, such as the distance between the research teams involved, in order to reduce costs. The T0 occurred in the intervention (where education actions would be carried out) and control (without health education actions) regions selected in these countries, allowing researchers to assess and describe health conditions, eating habits and lifestyle of children in Europe, taking regional, social, biological and sex aspects into account. 2007 - 2008 2009 - 2010 2013 - 2014 T0 and Intervention T1 and T2 IDEFICS T3 and Assessment of Oral Health IFAMILY Figure A. Schedule of exams of the IDEFICS cohort and the IFAMILY study. T0, Initial research phase (baseline); T1, first exam after intervention; T2, questionnaires sent to participants via postal service to assess the intervention; T3, second exam after intervention, with assessment of oral health in Spain. After this phase, the primary prevention program was implemented. The intervention was designed to address key behaviors in relation to obesity (diet, physical activity and stress) at four levels: individual (children), family (parents), school and community. At these levels, six messages related to these behaviors were worked on, through 10 separate modules with intervention measures targeting each level. The six messages were “increase water consumption”; “increase consumption of fruit and vegetables”; “reduce daily screen time (television and computer)”; “increase daily physical activity”; “improve the quality of family life”; “ensure adequate sleeping hours”. The  interven- 4 Lages et al. tion design and details of the different intervention modules of the IDEFICS study are described, according to their level of intervention7,10. The effects of the intervention were evaluated during the T1, 2 years after T0, repeating the same exam modules with children from both control and intervention areas, to compare both regions of each country. At the end of T1, 69% (n = 11,189) of the children who had par- ticipated were reevaluated. Dropout between the exams was higher among those with over- weight, low schooling, children of single parents and low scores for well-being11. The prev- alence of overweight and obesity stratified by sex and country were recorded. In 2010, a second follow-up, defined as T2, was conducted using a questionnaire sent through the postal service to all intervention participants to evaluate sustainability of behavioral change. As a starting point for the I.FAMILY study described in Ahrens et al.9 (2017), another fol- low-up exam (T3) was carried out between 2013 and 2014, when those children had 7 to 15-year-olds, with an almost equal proportion of boys and girls. This stage included an assessment of the oral health conditions of the children who had participated in the study in Spain, the only country where this initiative occurred. As the aim was to inves- tigate entire families, all siblings in the same age range as these children were invited. The role of family characteristics, family structure and family life in relation to child devel- opment is one of the focuses of I.FAMILY9, in which at least one parent of each index child participated and provided information about their family. In Spain, it is estimated that 1,591 children participated in the baseline and 445 of these had their oral health assessed in T3, 281 (59.2%) aged from seven to 11 and 194 (40.8%) from 12 to 15 years. This study was approved by the Ethics Committee (protocol P113/2012 - Spain). No child underwent any procedure without their parents’ prior consent for exam, sam- ple collection, subsequent analysis and storage of personal data and samples collected. Population and study design The present study included 281 children from the Spanish cohort in the IDEFICS study, participating from baseline (T0) and aged from 7 to 11 in T3 (I.FAMILY), when they participated in the oral health assessment. The Spanish city of Zaragoza was selected as a control and the intervention occurred in Huesca. The aim of the dietary intervention, considered the most important for this study because of the common risk factor for caries and obesity, set out to improve the children’s eating habits, by increasing their daily consumption of water, fruit and veg- etables7,10 and, thus reduce their intake of sugars. There was no intervention in oral hygiene habits, such as frequency of brushing or use of dental floss, for example. Data on sex frequency of sugar intake and children’s anthropometrics were obtained at T0. From the questionnaires applied to parents also at T0, information on fam- ily income and parents’ levels of education were collected. Another questionnaire answered by parents at T3 described their perception of their children’s weight. Assessment of oral health occurred only at T3. Frequency of sugar intake The frequency of sugar intake was estimated using a suitable appropriately repro- duced12 and validated13 Children’s Eating Habits Questionnaire (CEHQ). This tool 5 Lages et al. investigated the frequency of food consumption and behavior associated with over- weight, obesity and children’s general health. The CEHQ includes a Food Frequency section (FFQ) in which parents or other caregivers living with the child reported the frequency of their child’s consumption of sugar foods over a typical week in the previ- ous 4 weeks. This allowed for the reduction of likelihood of a “special week”, for exam- ple due to holidays or illness. Consequently, week-to-week variability was reduced. To facilitate completion of the questionnaire, the same response scale was used for all dietary items of the CEHQ-FFQ. The response options were as follows: Never/less than once a week, 1-3 times a week, 4-6 times a week, 1 time a day, 2 times a day, 3 times a day, 4 or more times a day, and No idea. This scale was adopted using the eating habits questionnaire of the Early Childhood Longitudinal Survey of the United States Department of Agriculture14 as a basis. Intake frequencies were evaluated with- out trying to quantify portion sizes. For the present study, this variable was divided into “Up to 3 times a day” and “4 or more times a day”, as a sugar consumption frequency greater than 4 times a day is directly related to the development of caries disease15. Anthropometry The children’s weight was measured by Tanita BC 420 SMA scale (TANITA Europe GmbH, Sindelfingen, Germany) while their height was measured using a SECA 225 stadiometer (SECA GmbH & Co. KG., Hamburg, Germany). The measurements were taken in the morning, with the children in fasting and wearing underwear only. Body Mass Index (BMI) was calculated according to the International Obesity Task Force (IOTF)16, where low weight = BMI<17kg/m2, normal weight = 17kg/m2≤ BMI<25Kg/m2, overweight = 25Kg/m2 ≤ BMI<30Kg/m2 and obesity = BMI ≥30Kg/m2. Questionnaire applied to parents Parents answered questionnaires on the socioeconomic data of the family and their perceptions of their children’s body weight12. Data on the parents’ education levels were based on the International Standard Classification of Education (ISCED)17, which levels 0-2 are classified as low, while levels 3-4 are medium and 5-6 are high levels of education. We have summed low and medium categories, versus high level of edu- cation. Family income was evaluated by the question “What is your monthly family income?” using specific Spanish categories based on people’s average net income18. The answers were grouped into low to medium or high incomes. Parents’ perceptions of their child’s weight were classified as “underweight, adequate or overweight”. Oral Health Assessment The selection of the sample for the assessment of oral health was performed based on the absence/presence of the first molar in the baseline period (T0). As the first molars erupt around the 6 years old, in the baseline these teeth were free of caries, as they were not in the oral cavity. As no oral health assessment was performed previously, we opted to exclude children who, in the T0, had the first molar erupted, remaining in the sample only children from 7 to 11 years old who presented the eruption of these teeth after base- line (T0). The children’s oral health was assessed at T3 on the basis of exams for the prev- alence of dental caries and periodontal disease, and observation of the amount of accu- 6 Lages et al. mulated bacterial plaque in the first permanent molars (teeth 16, 26, 36 and 46). For all of these exams, a dental diagnostic plane mouth mirror Nº5 and a spherical calibrated periodontal probe were used, under artificial light, with both examiner and child seated. Caries disease was evaluated by the International Caries Detection and Assessment System (ICDAS)19, which combines the use of visual and tactile signs of caries lesions and allows for detection of the disease in its early stages. The examination was per- formed after prophylaxis, relative isolation and drying of the teeth with a portable air jet. The clinical stages of the caries lesions were established according to the histolog- ical classification proposed by Ekstrand et al.20 (1995), ranging from the identification of a white spot on a dental surface, which could need drying to be visualized (code 1) or not (code 2), lesions on dental enamel (code 3), to a cavity visible in dentin (codes 4, 5 and 6). Codes 1 and 2 were considered for white spots, and codes 4, 5 and 6 were used for untreated caries, and these lesions were summed up for each outcome. The existence of periodontal disease was evaluated by the Community Periodontal Index (CPI), according to the methodology recommended by the World Health Orga- nization (WHO)21 for epidemiological surveys in oral health. The codes are 0 - Healthy sextant, 1 - Gingival bleeding, 2 - Dental calculus, 3 - Shallow periodontal pocket, between 3.5 and 5.5mm, and 4 - Deep periodontal pocket, greater than 5.5mm. The amount of plaque was observed according to the Plaque Index (PI) proposed by Silness and Loe22 (1964), by means of the following codes: 0 - Absence of biofilm, 1 – Tooth clean with biofilm detectable only with probe, 2 – Moderate deposit of biofilm visible to the naked eye, and 3 – Large accumulation of biofilm filling the entire gin- gival margin. Data on periodontal conditions were analyzed in a descriptive manner, with the prevalence of periodontal disease by sextant, with a view to describing the oral health of the patients, without any relation to the outcomes used. Examiner calibration was carried out through theoretical discussions and practical activities, simulating the different conditions and situations that the professionals would encounter during the practical work. The examiners were calibrated for ICDAS caries criteria with a standard examiner, who also assisted in data collection First, they did an on-line calibration (https://www.icdas.org/icdas-e-learning-course), and then an exercise with 20 children. The Kappa values weighted for inter-examiner and intra-examiner agreement exceeded 0.85 for the ICDAS and CPI indices. Statistical analysis Descriptive statistics were used to define sociodemographic and oral health charac- teristics. Pearson’s Chi-square test was used to compare categorical variables (gen- der, educational level, income, frequency of sugar intake and BMI, with dental caries and white spots as outcomes). Data were analyzed using IBM SPSS Statistics, Ver- sion 20. The significance level was set at 0.05. Results The socioeconomic characterization of the T3 sample was similar to that at the base- line. There was a slight reduction in the percentage of low-income children and an increase in the number of middle-income children in both cities (Table 1). https://www.icdas.org/icdas-e-learning-course 7 Lages et al. Table 1. Socioeconomic data of the total sample at T0 (2007) and of the sample of 7 to 11-year-olds at T3 (2013), per Spanish city. Variable per city T0 T3 Total sample N=1,509 (100.0%) N=281 (100.0%) Zaragoza (control) Sample N=799 (52.9%) N=175 (62.3%) Level of education Low 76 (9.77%) 6 (5.6%) Medium 281(36.1%) 40 (37.4%) High 421 (54.11%) 61 (57.0%) Total 778 (100.0%) 107 (100.0%) Family income Low 125 (17.0%) 9 (7.4%) Medium 409 (55.95%) 76 (62.8%) High 197 (26.94%) 36 (29.8%) Total 731 (100.0%) 121 (100.0%) Huesca (intervention) Sample N=710 (47.1%) N=106 (37.7%) Level of education Low 39 (5.55%) 3 (4.1%) Medium 316 (45.0%) 39 (53.4%) High 347 (49.4%) 31 (42.5%) Total 702 (100.0%) 73 (100.0%) Family income Low 84 (13.0%) 3 (4.1%) Medium 457 (70.96%) 59 (78.6%) High 103 (16.0%) 13 (17.3%) Total 644 (100.0%) 75 (100.0%) Note: Between T0 and T3, the variables were not significant and, therefore, the characteristics of the sample remained the same. The prevalence of children with dentin carious lesions (p=0.015) and with white spots (p=0.016) in the first molars was higher in Huesca, despite the intervention (Figure B). 60 50 40 30 20 10 0 Zaragoza (Control) Huesca (Intervention) Caries White spots 37.1% 52.8% 33.1% 40.6% P er ce nt ag e of c ar io us le si on s (% ) Figure B. Prevalence of caries and white spots assessed in the first permanent molars of 7 to 11-year- olds in the post-intervention period (T3), in Zaragoza and Huesca, Spain, 2013-2014. 8 Lages et al. The analysis of first molars with carious lesions in Zaragoza shows that 54.2% of them were at the initial caries stage, while in Huesca this rises to 59.6%. The Zaragoza children presented a lower percentage of visible plaque, but presented a higher percentage of sex- tants with bleeding. In Huesca, there were more children with localized visible plaque and plaque in the whole gingival margin, and although they presented a lower percentage of sextants with bleeding, 5% presented calculus, a more serious condition (Table 2). Table 2. Oral health data for 7 to 11-year-olds per city, at T3, in terms of the I.FAMILY study, Spain, 2013 Oral Health data Zaragoza (Control) Huesca (Intervention) n % n % First molars with carious lesions (ICDAS) White spots after drying 49 32.8 33 28.9 White spots without drying 21 14.0 18 15.8 Enamel cavitation 11 7.4 17 14.9 Darkened dentin without visible cavitation in enamel 7 4.7 2 1.38 Dentin cavitation less than ½ the surface 3 2.0 1 0.9 Dentin cavitation more than ½ the surface 58 38.9 43 37.7 Total 149 100.0 114 100.0 Bacterial Plaque Index (Silness PI) No plaque 54 30.85 23 21.69 Plaque visible with probe 68 38.85 41 38.67 Localized plaque visible 24 13.7 21 19.81 Plaque visible in whole gengival margin 29 16.57 20 18.86 Total 175 100.0 106 100.0 Periodonal condition per sextant examined (CPI) Healthy 643 65.88 419 69.6 Bleeding 319 32.68 152 25.25 Calculus 14 1.43 31 5.14 Total 976 100.0 602 100.0 There was no association between caries and white spot disease with the socioeco- nomic, sex, parents’ perception of their children’s weight, sugar consumption or body weight variables in any of the cities. The results of parents’ perception of their children’s weight showed responses which were inconsistent with their children’s actual weight for those considered underweight, despite having normal weight (Tables 3 and 4). Table 3. Bivariate analysis for 7 to 11-year-olds per city in the IDEFICS study in Spain, for untreated caries Variables Untreated caries Huesca (Intervention) Zaragoza (Control) No Yes Total p value No Yes Total p value Leval of education High 16(51.6%) 15(48.4%) 31(100.0%) 0.459 36(59.0%) 25(41.0%) 61(100.0%) 0.514 Medium-Low 18(42.9%) 24(57.1%) 41(100.0%) 30(65.2%) 16(34.8%) 46(100.0%) Family income High 7 (53.9%) 6(46.1%) 13(100.0%) 0.432 21(58.3%) 15(41.7%) 36(100.0%) 0.590 Medium_Low 26(41.9%) 36(58.1%) 62(100.0%) 54(63.5%) 31(36.4%) 85 (100.0%) Continue 9 Lages et al. Frequency of sugar intake Up to 3 times a day 9 (47.3%) 10(52.6%) 19(100.0%) 0.305 25(64.1%) 14(35.9%) 39(100.0%) 0.167 4 or more times a day 1(100.0%) 0 (0.0%) 1 (100.0%) 5 (41.7%) 7 (58.3%) 12 (100.%) BMI Underweight 1 (25.0%) 3 (75.0%) 4 (100.0%) 0.620* 4 (80.0%) 1 (20.0%) 5 (100.0%) 0.990*Normal 37(47.4%) 41(52.6%) 78(100.0%) 72(59.0%) 50 (41.0% 122(100.0%) Overweight 0(0.0%) 0 (0.0%) 0 (0.0%) 1 (50.0%) 1 (50.0%) 2 (100.0%) Parents’ perception of their children’s weight Underweight 9 (37.5%) 15(62.5%) 24(100.0%) 0.353* 14(45.1%) 17(54.9%) 31 (100.0%) 0.099*Adequate 28(51.0%) 27(49.0%) 55(100.0%) 62(66.7%) 31(33.3%) 93 (100.0%) Overweight 0 (0.0%) 1(100.0%) 1 (100.0%) 1(50.0%) 1 (50.0%) 2 (100.0%) Sex Boys 27(53.0%) 24(47.0%) 51(100.0%) 0.252 52(66.7%) 26(33.3%) 78 (100.0%) 0.350 Girls 23(41.8%) 32(58.2%) 55(100.0%) 58(59.8%) 39(40.2%) 97 (100.0%) Nota: * Fisher’s Exact Test Table 4. Bivariate analysis for 7 to 11-year-olds per city in the IDEFICS study in Spain, for white spots Variables White spots Huesca (Intervention) Zaragoza (Control) No Yes Total p value No Yes Total p value Leval of education High 19(61.3%) 12(38.7%) 31(100.0%) 0.722 39(64.0%) 22(36.0%) 61(100.0%) 0.542 Medium-Low 24(57.1%) 18(42.9%) 42(100.0%) 32(69.6%) 14(30.4%) 46(100.0%) Family income High 9 (69.2%) 4(30.8%) 13(100.0%) 0.395 23(63.9%) 13(36.1%) 36(100.0%) 0.676 Medium-Low 35(56.5%) 26(43.5%) 62(100.0%) 58(68.2%) 27(31.8%) 85(100.0%) Frequency of sugar intake Up to 3 times a day 15(79.0%) 4(21.0%) 19(100.0%) 0.608 26(66.7%) 13(33.3%) 39(100.0%) 0.597 4 or more times a day 1(100.0%) 0 (0.0%) 1 (100.0%) 7 (58.3%) 5 (41.7%) 12 (100.%) BMI Underweight 1 (25.0%) 3 (75.0%) 4 (100.0%) 0.297* 4 (80.0%) 1 (20.0%) 5 (100.0%) 0.583*Normal 48(61.5%) 30(38.5%) 78(100.0%) 78(66.1%) 40(33.9%) 118(100.0%) Overweight 0 (0.0%) 0 (0.0%) 0 (0.0%) 1 (50.0%) 1 (50.0%) 2 (100.0%) Parents’ perception of their children’s weight Underweight 15(62.5%) 9 (37.5%) 24(100.0%) 0.885* 15(48.4%) 16(51.6%) 31 (100.0%) 0.266*Adequate 33(60.0%) 22(40.0%) 55(100.0%) 67(72.0%) 26(28.0%) 93 (100.0%) Overweight 0 (0.0%) 1(100.0%) 1 (100.0%) 1(50.0%) 1 (50.0%) 2 (100.0%) Sex Boys 31(60.8%) 20(39.2%) 51(100.0%) 0.785 53(68.0%) 25(32.0%) 78 (100.0%) 0.783 Girls 32(58.2%) 23(41.8%) 55(100.0%) 64(66.0%) 33(34.0%) 97 (100.0%) Nota: * Fisher’s Exact Test Continuation 10 Lages et al. Discussion The highlight of this study is the inclusion of oral health assessment in a multicentric European cohort project which investigates chronic diseases with common life- style and dietary risk factors such as obesity, diabetes and cardiovascular diseases. Despite the fact that the dental exams took place in Spain only, although eight coun- tries participated in the study, it was innovative, as the IDEFICS was the European mul- ticentric cohort study involving the largest sample of children among studies under- taken to date, none of which included oral health among their analyses, though caries is also diet-related. As it was a longitudinal study, an analysis of the same population in early childhood and, subsequently, their health outcomes in early adolescence, also contributed to the significance of the study. In addition, the diagnosis of caries with the ICDAS index19, which considers initial stages of caries, such as white spots and enamel lesions during oral exams, has a great advantage over the Decayed, Miss- ing and Filled Teeth (DMFT)21, which only considers cavitations at the dentin level. Among the first molars with carious lesions, more than half were at the initial stage, and would not have been noticed if the DMFT had been used. The prevalence of untreated caries and white spots were higher in Huesca, despite the intervention. De Bourdeaudhuij et al.23 (2015) found that the intervention had no positive effects on diet or lifestyle, such as the consumption of water, soft drinks and fruit juice; fruit and vegetable intake; daily TV viewing time and computer use; and daily levels of physical activity (sports and outdoor games) for the total sample of 2 to 9-year-olds in the eight European countries. Families with lower incomes, a poorer quality of life or were migrants presented the worst results, with lower adherence to the intervention measures11. However, we did not find this association in this study. Possible limitations of the IDEFICS intervention were mentioned: dependence on par- ents’ answering of questionnaires on child behavior; interference from local, regional or national governments in the fight against obesity in the different countries; differ- ences in the penetration of the IDEFICS intervention in each country, given the different cultural contexts, for which there were no adaptations in strategies; and differences in the measure of intervention at child and parent level23. It should be emphasized that there was no intervention in oral hygiene behavior in Spain. There was no association between untreated caries and white spots with body weight. The fact that a child was underweight, of normal weight or overweight/obese did not asso- ciated with their oral health or vice versa. This result is in agreement with studies which also did not find this relation with the same age group in the Netherlands, Brazil and Spain4, but found a relationship between social determinants and dental caries disease and obesity, such as lower family income and parents’ lower educational levels, although this was also not shown in our study. However, Hayden et al.2 (2013), in a systematic review study with meta-analysis, argue that there is an association between these diseases, while Dimai- sip-Nabuab et al. 24 (2018) found that underweight children are more likely to experience caries. Through a systematic review of the literature, Hooley et al.25 (2012) stated that there is no evidence to suggest that dental caries is associated with either high or low BMI. Although the exact nature of such associations is not clear, it is possible that there are different factors involved in the development of caries in children with high or low 11 Lages et al. BMI or with different socioeconomic profiles. According to Costa  et  al.4 (2013), the conflicting results of the studies could be related to the research design, variations in the environment in which the data were collected, socioeconomic status of the sample, nutritional status measures used, caries assessment indexes used and age differences in the children examined. Nevertheless, it was suggested that combined strategies be implemented simultaneously to control caries and obesity, as they pres- ent diet as a common risk factor26. The frequency of sugar consumption was not associated with caries and white spots in this study either, but that was probably due to the fact that only 71 parents answered this particular question, of whom only 12 reported consumption more than 4 times a day, as it has already been proven that sugar consumption is directly involved in these diseases3,27. Most interventions in the prevention of obesity and dental caries focus on modifying health behavior. These policies and strategies must be accompanied by other gov- ernment efforts to improve public education, and deterioration of the state of health and nutrition of the population. Traditional preventive and curative approaches, based solely on education and health care are considered unsustainable and ineffective. Such strategies should target the broader upward flow of social factors which affect sugar consumption. People’s  decisions to consume sugars is deeply rooted in the social, economic and environmental conditions in which they grow up, live, work and age. Thus, sustainable environments for health promotion should be created so that there is a behavior of commitment to health, where the consumption of sugar is the difficult choice and the consumption of vegetables and fruit is the easy choice in terms of availability and accessibility5,27. Political and economic changes at local, state and national levels could promote and encourage healthier food choices26,27. The United Kingdom and Mexico, for example, have successfully passed legislation on drinks containing sugar using successful tax- ation prototypes adapted from alcohol and tobacco28,29. Some experiments already reported suggest that a 20% tax on sugar-added beverages could reduce the preva- lence of caries, obesity, diabetes and other comorbidities, and reduce treatment costs and lead to behavioral changes in food choice29. At the same time, sugar-free food, drinks and medicines should not be taxed. Fiscal returns could be used to subsidize the price of vegetables, fruits and sugar-free medicines29. For Grinsberg30 (2017), the ideal would be to establish both short- and long-term goals for reducing people’s sugar consumption, until the WHO recommended rate of a maximum of 5% of daily total calorie intake is reached, as the rewards arising out of reduced mortality, morbidity and health expenditures would gradually be enormous, as is happening in Israel. The WHO has recognized that dental diseases are the most common non-communicable diseases worldwide and that the treatment of dental disease is costly. Governments must pressure the food and drug industries, with the backing of appropriate legislation, to reduce the sugar content of their products and offer a wide variety of sugar-free alternatives. Meals provided in schools and other public establishments, such as hospitals, should be sugar free or at least with reduced sugar. All of the aforementioned policies should be supported by initiatives to increase public awareness of the need to reduce the intake of sugary foods and beverages from childhood through life, using national and mother and child nutrition programs27. 12 Lages et al. All such changes occur amidst the complexities of interactive social, cultural, political, and financial forces which rarely align themselves to promote healthy eating. As in the case of public health efforts to reduce tobacco use, there are keen corporate interests with powerful incentives to oppose or undermine these efforts. This has long been recognized in the case of the tobacco industry and is becoming better recognized in the case of the food and drinks industry30. One limitation to this study was the fact that the oral health exam was undertaken only after the intervention, during T3, which meant it was possible to verify this con- dition only in the group 7 to 11 years old. Another limitation was that the ICDAS II index was used only in the first permanent molars, which was necessary in the cir- cumstances. For future multicentric cohort studies focusing on diet, obesity and life- style, it is suggested that children’s oral health be assessed from the baseline, that all teeth be examined, and that macroeconomic policies of wide social reach, such as the taxation of foods rich in sugar and advertising restrictions be included in the intervention measures of the study. Future investigations involving parents’ percep- tion of their children’s weight would also be important, as a perception incompatible with their  children’s weight could stimulate diets which lead to weight gain and the development of dental caries. 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