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. Author manuscript; available in PMC: 2022 Aug 25.
Published in final edited form as: Caries Res. 2021 Aug 25;55(5):505–514. doi: 10.1159/000518890

Early-life patterns of sugar consumption and dental caries in the permanent teeth: a birth cohort study

Carlos Alberto Feldens a, Igor Fonseca dos Santos a, Paulo Floriani Kramer a,b, Márcia Regina Vítolo c, Vanessa Simas Braga a, Benjamin W Chaffee d
PMCID: PMC8595800  NIHMSID: NIHMS1735932  PMID: 34428768

Abstract

Early-life family conditions may presage caries development in childhood. The aim of this study was to evaluate associations between patterns of sugar consumption in early childhood and permanent dentition caries at age 6 years. A cohort enrolled women accessing prenatal care at public health clinics in Porto Alegre, Brazil. Sociodemographic, anthropometric, and dietary data were collected during pregnancy and 6-month, 12-month, and 3-year follow-up. Calibrated dental examinations occurred at ages 3 and 6 years. Multivariable logistic regression analysis was performed in series to quantify associations between early-life variables and permanent dentition caries. At age 6 years, 7.9% of children (21/266) had ≥1 caries lesion on permanent teeth (first molars). In unadjusted models, gestational weight gain, sweet food introduction (age 6 months), household sugar purchases (age 3 years), and caries (age 3 years) were positively associated with permanent dentition caries (age 6 years). In multivariable models, each 1-kilogram increase in gestational weight gain (OR: 1.08; 95% CI: 1.01, 1.16) and each 1-item increase in sweet food consumption at age 6 months (OR: 1.27; 95% CI: 1.02, 1.59) remained statistically significantly associated with permanent molar caries. Findings from this cohort study suggest family and child factors that long predate the permanent dentition, including sugar-related behaviors, predict future dental status and may inform prevention strategies.

Keywords: child, dental caries, diet, life-course, sugar, cohort studies

Introduction

Dental caries is the most common chronic disease of humankind [Kassebaum et al., 2015]. Untreated caries has a major deleterious impact on health-related quality of life among children, adolescents, and adults worldwide [Wong et al., 2011; Feldens et al., 2016; Haag et al., 2017]. Dental caries is determined by biological, psychosocial, and environmental factors [Machiulskiene et al., 2020], with critical behavioral contributions that accumulate over the life-course [Shearer and Thomson, 2010]. Dietary factors, particularly the consumption of free sugars, are prominent among risk factors [WHO, 2015].

While upstream policy is an essential strategic component in caries prevention and has the most far-reaching potential [Watt et al., 2019], complementary behavioral approaches also play a role and may operate best if positioned very early in life, when dietary preferences, expectations, and reward mechanisms are first being influenced and developed [Chaffee et al., 2015; Meyer and Lee, 2015]. Despite national and international guidelines for healthy eating practices, excessive sugar consumption from the first year of life has been described not only in Brazil, but in diverse populations worldwide [Ha et al, 2017; Wang et al, 2018; Irving et al, 2020]. In particular, foods and drinks high in sugar are often consumed in the first 6 months of life [Feldens et al., 2021], which has long-term implications for general and oral health [Feldens et al., 2010b, 2021; Chaffee et al., 2015]. Few studies investigate variables related to diet and sugar consumption from pregnancy and through the first years of life in relation to caries of the permanent dentition. Identifying such associations may inform effective interventions, given the potentially consequential influence of early-life behaviors and considering age 6 years marks as an inflection point of accelerated caries incidence [Kassebaum et al., 2017].

The objective of the present study is to examine three variables related to the diet and sugar consumption at three early-life time periods: maternal gestational weight gain, number of sugary food items introduced by age 6 months, and household sugar purchases at age 3 years and their associations with dental caries in the permanent teeth (first molars) soon after their eruption at age 6 years.

Materials and Methods

Study design and participants

The present prospective cohort study is nested within a randomized controlled clinical trial that recruited pregnant women from 20 basic health units (UBS public health clinics). The UBS system is the primary access point to the Unified Health System (SUS), which nationally serves more than 70% of the Brazilian population. Services are available to all residents. While SUS patients represent a wide range of socioeconomic classes, the patient population overall is characterized by greater socioeconomic disadvantage and represents the target public health policies. Recruitment occurred in Porto Alegre, a Brazilian city with 1.4 million inhabitants and an optimally fluoridated municipal water system. The purpose of the intervention trial was to investigate the effect of training for clinic health professionals on recommended infant and toddler healthy eating practices on various child health outcomes (clinicaltrials.gov: NCT00635453). The intervention was associated with feeding and eating behaviors better aligned with national guidelines, but there was no statistically significant reduction in dental caries at age 3 years [Chaffee et al., 2013].

Between 2008 and 2009, 736 pregnant women were invited to participate in the study (exclusion criterion: HIV positive due to possible breastfeeding complications), and 715 women agreed and enrolled. A team of researchers, trained and calibrated to reduce bias, administered a structured, close-ended questionnaire and conducted anthropometric exams during pregnancy and at 6 months and 3 years of age. A clinical dental examination was performed at age 3 years (n = 458) and age 6 years (n = 313). The present analysis is based on a sub-sample of the cohort that had at least one permanent first molar erupted at age 6 years (n = 266). Of these children, 233 had complete covariable data necessary for multivariate analysis. Figure 1 shows the cohort flow diagram.

Fig. 1.

Fig. 1.

Flow diagram: study participation from enrollment to 6-year assessment.

Data collection

The following variables were collected during pregnancy and/or shortly after birth: weight gain at 6 months of gestation (maternal weight measured during pregnancy less self-reported pre-gestational weight), maternal age at the time of delivery, maternal education (in years of study), family income (in Brazilan reais, later categorized into tertiles), child sex, birth weight, and birth length.

At age 6 months, child anthropometric variables (length and height) were measured, and body mass index was calculated and converted to WHO z-scores. In addition, mothers were asked at what age (in months) their child was first introduced to 31 specific food and beverage items. Fifteen of these items were considered high in refined sugars or other simple carbohydrates (added sugar, candy, chips, chocolate, chocolate milk, coffee with sugar added, cookies, fruit-flavored drink, gelatin, honey, ice cream, petit suisse cheese, soft drinks, sweet biscuits, and tea with sugar added). A sugar consumption index was defined as the total number of sugar items introduced to the infant before age 6 months [Chaffee et al., 2015].

At age 3 years, a maternal interview was conducted to collect the amount of sugar (in kilograms) purchased by the household per month. Monthly salt and oil purchases were also recorded to isolate any sugar purchase associations, independent of expenditures on other products. Purchase amounts were divided by the number of household members. Mothers were also asked if the child had ever visited a dentist and whether currently using fluoridated toothpaste, if any. Child height and weight were measured and converted to WHO z-scores. In-home dental screening examinations were performed by 2 trained and calibrated examiners to measure developmental defects of enamel [FDI, 1992], the presence of visible plaque, and dental caries [WHO, 1997], with noncavitated lesions also recorded. Teeth were brushed, dried with gauze, and evaluated visually using artificial light.

At age 6 years, the in-home dental screening exam was repeated by a single trained and calibrated examiner. The main outcome variable for the present study was the presence of a carious lesion in at least one permanent tooth (including non-cavitated lesions). Included in analysis were children with at least one of the four first permanent molars erupted and with data collected during each of the previous timepoints (i.e., pregnancy/birth, age 6 months, and age 3 years). Next, mothers were asked to report their child’s daily frequency of toothbrushing, whether parents assisted with brushing, and whether the child was currently using fluoridated toothpaste.

The number of participants originally recruited in the trial and subsequently followed and retained at 6 years of age determined the sample size for the present cohort study. A post hoc calculation determined that the available sample size of n=233 had >80% power to detect an absolute difference of 12% (alpha=0.05, two-tailed) in the prevalence of dental caries between children introduced to fewer than 6 sweet food items by age 6 months and those introduced to ≥7 items.

Data analysis

Baseline characteristics of the analytic sample were compared to those of the original cohort to assess possible selection bias due to losses to follow-up. In the first unadjusted analysis, the means of three dietary-related variables (i.e., maternal gestational weight gain, age 6-month sugar consumption index, and age 3-year household per capita sugar purchases) were compared between children with and without permanent teeth caries lesions at age 6 years (t-test). In a second unadjusted analysis, child/family sociodemographic, dietary-related, and clinical dental variables were all specified categorically to compare the prevalence of permanent teeth caries lesions between each category level (chi-square test).

Multivariable analysis was performed using logistic regression. The multivariable model was specified sequentially, following a hierarchical perspective in three blocks: (1) pregnancy and birth variables; (2) age 6-month variables; and (3) age 3-year variables. The models estimated odds ratio for covariables mutually adjusted for those at the same or higher level (i.e., temporally earlier). Assignment group in the original trial (intervention or control) was retained as an adjustment variable in all models.

Results

The study sample consisted of children mostly of low socioeconomic position, with a mean maternal education of 8.8 years (Table 1). The analytic sample was similar in its baseline characteristics to the full cohort, with no statistically significant differences in socioeconomic, demographic and anthropometric characteristics from those lost to follow-up. Dental variables at age 3 years also did not differ between children in the analytic sample and those lost to follow-up since the 3-year visit (Table 1). Among participants lost to follow-up, the most commonly recorded reasons for attrition included: relocated to another city (51.8%), address could not be located (26.5%), declined participation (20.1%), and maternal death or incapacity (1.6%). Additionally, 17 children at the 3-year visit and 74 children at the 6-year visit did not allow or did not attend dental examinations.

Table 1.

Characteristics of the study participants, Porto Alegre, Brazil.

Initial cohort 6-year assessment
% Mean (SD) % Mean (SD)
Maternal and household variables
 Maternal age at birth (years) 25.4 (6.7) 25.6 (6.5)
 Maternal education (years) 8.5 (2.7) 8.8 (2.4)
 Previous child 55.4 55.8
 Social class ≤C§ 79.8 79.8
Child variables
 Intervention group in original trial 50.3 54.5
 Male 52.4 50.6
 Birth weight < 2.500 g 6.3 6.1
 Birth height (cm) 49.0 (2.5) 49.0 (2.5)
 Sugar consumption index at 6 months 5.0 (2.4) 5.0 (2.4)
 Monthly sugar purchased per capita at 3 years (kg) 1.13 (1.04) 1.14 (1.20)
 dmft ≥1 at 3 years 39.5 39.3
 dmft at 3 years 1.54 (2.76) 1.51 (2.70)

n=715 at birth

n=266; Sample size may be smaller for some variables due to missing data

§

Brazilian Association of Economic Research Institutes classification system; C or below indicates greater socioeconomic disadvantage

Abbreviations: SD, standard deviation; dmft, decayed (cavitated or noncavitated), missing due to caries, restored primary tooth index.

Among children included in analysis, the mean gestational weight gain was 11.7 kg (SD: 6.5 kg). At age 6 months, children had been introduced to a range of 0 to 10 sweet items, with mean 5.0 items (SD: 2.5). At age 3 years, 83.4% of children used fluoridated toothpaste; 39.3% of children had experienced dental caries, with a mean decayed missing filled tooth index score of 1.51 (SD: 2.70). Of the 266 children in the final sample, 55.3% had experienced dental caries at age 6 years, and 7.9% had caries lesions in permanent teeth, with all of the lesions found on the occlusal surfaces of the first permanent molars. At age 6 years, 82.6% of children brushed their teeth twice or more daily, 43.9% received brushing assistance from parents, and nearly all (99.6%) used fluoridated toothpaste.

As a group, children with caries lesions on the permanent teeth had mothers who gained more weight during gestation, had been introduced to more sweet foods at age 6 months, and their families purchased more sugar per capita at age 3 years (Table 2). All unadjusted differences were statistically significant.

Table 2.

Gestational weight gain, sugar consumption index, and sugar purchases according to permanent dentition caries prevalence at age 6 years

Variables Children with caries in permanent teeth at 6 years
Mean (SD)
Children without caries in permanent teeth at 6 years
Mean (SD)
Mean difference
(95% CI)
p
Gestational weight gain, kg 15.3 (6.9) 11.2 (6.5) −4.1 (−7.0, −1.1) 0.007
Sugar consumption index at 6 months, number of items 6.5 (2.2) 4.9 (2.4) −1.6 (−2.7, −0.6) 0.003
Household monthly sugar purchases at 3 years, kg/person 2.2 (2.9) 1.0 (0.8) −1.2 (−1.7, −0.6) <0.001

Abbreviations: SD, standard deviation; CI, confidence interval

Table 3 demonstrates the unadjusted associations between caries experience in the permanent teeth at age 6 years and selected child and family characteristics. Gestational weight gain and age 6-month sugar consumption, and age 3-year household sugar purchases were all associated with caries experience in the permanent teeth (Table 3). Permanent dentition caries was also associated with lower levels of maternal education and having experienced dental caries in the primary teeth at age 3 years (Table 3).

Table 3.

Permanent dentition caries prevalence (age 6 years) according to independent variables

Variables N DMFT≥1 P
n (%)
Maternal age at birth 0.901
 < 20 years 48 4 (8.3)
 ≥ 20 years 218 17 (7.8)
Maternal education 0.002
 ≤ 8 years 66 11 (16.7)
 > 8 years 200 10 (5.0)
Weight gestational gain 0.042
 ≤ Median (11.3 kg) 130 6 (4.6)
 > Median 131 15 (11.5)
Family income 0.538
 1st tertile (lowest) 85 7 (8.2)
 2nd tertile 90 8 (8.9)
 3rd tertile (highest) 84 4 (4.8)
Child sex
 Male 135 10 (7.4) 0.765
 Female 131 11 (8.4)
Child BMI z-scores at 6 months 0.901
 ≤ 1 SD 188 15 (8.0)
 > 1 SD 71 6 (8.5)
Sugar consumption index at 6 months <0.001
 ≤ 3 77 1 (1.3)
 4–6 100 7 (7.0)
 ≥ 7 77 13 (16.9)
Monthly sugar purchased at 3 years (kg/person) 0.047
 ≤ Median (1.1) 109 5 (4.6)
 >Median 108 13 (12.0)
Visible plaque 0.107
 No 109 6 (5.5)
 Yes 122 14 (11.5)
Developmental defects of enamel at 3 years 0.277
 No 185 14 (7.6)
 Yes 48 6 (12.5)
Previous dental visit 0.123
 Yes 57 2 (3.5)
 No 169 17 (10.1)
Dental caries at 3 years 0.001
 Yes 92 15 (16.3)
 No 141 5 (3.5)
Toothbrushing frequency at 6 years 0.663
 ≤ 1 × per day 43 4 (9.3)
 ≥ 2 × per day 204 15 (7.4)

Abbreviations: BMI, body mass index; SD, standard deviation; DMFT, decayed (cavitated or noncavitated), missing due to caries, restored permanent tooth index

Chi-square test for linear trend.

In multivariable regression models, gestational weight gain and age 6-month sugar consumption index maintained their associations with age 6-year permanent dentition caries (Table 4). Caries experience in the primary teeth was positively associated with permanent teeth caries but no longer statistically significantly. Adjusted for maternal education, each one kilogram increase in gestational weight gain was associated with an 8% increase in the odds of permanent teeth caries (Table 4). Adjusted for maternal education and gestational weight gain, each additional indexed sweet food consumed at age 6 months was associated with a 27% increase in the odds of permanent teeth caries (Table 4).

Table 4.

Multivariable models of dental caries in permanent dentition at age 6 years

Variables Unadjusted models Adjusted models
OR 95% CI P OR 95% CI P
Gestational and birth variables
Maternal age at birth 0.901
 <20 years 1.07 (0.34, 3.35) 0.70 (0.18, 2.70) 0.601
 ≥20 years 1.00 1.00
Maternal education 0.004 0.021
 ≤ 8 years 3.80 (1.53, 9.42) 3.68 (1.22, 11.07)
 > 8 years 1.00 1.00
Family income 0.516
 1st tertile 1.79 (0.51, 6.37) 1.11 (0.27, 4.55) 0.886
 2nd tertile 1.95 (0.57, 6.74) 1.61 (0.43, 5.97) 0.475
 3rd tertile 1.00
Weight gestational gain (kg) 1.10 (1.02, 1.17) 0.008 1.08 (1.01, 1.16) 0.029
Child sex 0.765
 Male 1.00 1.00
 Female 1.15 (0.47, 2.80) 1.30 (0.48, 3.54) 0.601
Birth weight 1.00 (1.00, 1.00) 0.564 1.00 (1.00, 1.00) 0.197
Birth height 1.01 (0.84, 1.21) 0.920 0.87 (0.64, 1.17) 0.352
Variables at 6 months
Child BMI z-scores 0.901 0.928
 ≤ 1 SD 1.00 1.00
 > 1 SD 1.06 (0.40, 2.86) 1.05 (0.34, 3.23)
Sugar consumption index 1.33 (1.09, 1.62) 0.005 1.27 (1.02, 1.59) 0.036
Variables at 3 years
Child BMI z-scores 0.922 0.534
 ≤ 1 SD 1.00 1.00
 > 1 SD 1.05 (0.42, 2.63) 0.63 (0.14, 2.74)
Monthly sugar purchase (kg/person) 1.66 (1.14, 2.43) 0.008 1.62 (0.78, 3.36) 0.198
Monthly oil purchase (kg/person) 1.46 (0.84, 2.54) 0.175 0.61 (0.11, 3.42) 0.571
Developmental defects of enamel at 3 years 0.282 0.765
 No 1.00 1.00
 Yes 1.74 (0.63, 4.81) 0.77 (0.15, 4.15)
Visible plaque 0.115 0.590
 No 1.00 1.00
 Yes 2.22 (0.82, 6.01) 1.50 (0.34, 6.63)
Previous dental visit 0.141 0.684
 Yes 1.00 1.00
 No 0.32 (0.07, 1.45) 0.68 (0.11, 4.33)
Dental caries at 3 years 0.001 0.271
 Yes 1.00 1.00
 No 5.30 (1.85, 15.14) 2.26 (0.53, 9.62)

Abbreviations: BMI, body mass index; SD, standard deviation; OR, odds ratio; CI, confidence interval; DMFT, decayed (cavitated or noncavitated), missing due to caries, restored permanent tooth index.

Covariables added to models in serial such that covariables are mutually adjusted for all covariables at the same level or higher (i.e., measured contemporaneously or earlier). All adjusted models also include assignment group in the original trial (intervention or control) as a covariable.

Discussion/Conclusion

The present study identified three variables related to diet and sugar consumption (gestation weight gain, sweet food introduction, and sugar purchases) from three different periods of the life-course (gestation, infancy, early childhood) and involving three different components of the family (mother, child, household) that were each associated with dental caries in the permanent teeth (first molars) soon after their eruption at age 6 years. The presence of caries soon after tooth eruption indicates a very high cariogenic challenge with elevated probability of progression to severe loss of tooth structure [Stona et al., 2021]. Any direct, proximal effect of the particular variables on permanent teeth caries is implausible given that these teeth had not yet erupted at the time the dietary-related variables were measured. However, we hypothesize that these variables serve as markers of family dietary environment and behaviors that persist over time and drive up caries risk for young children.

The first years of life may represent a key intervention opportunity, helping to establish a low-sugar, low-caries trajectory over the life-course, countering an intertwined trajectory between caries and sugar intake throughout life [Heilmann et al., 2015; Peres et al., 2016]. Sugar consumption is the primary and necessary cause in the development of tooth decay [Sheiham and James, 2015]. However, translating this knowledge into effective population prevention and control strategies and clinical practices has been challenging for researchers, dental practitioners, and policy-makers, alike [Meyer and Lee, 2015]. These challenges, in part, relate to enduring patterns of socioeconomic disadvantage that manifest in poor nutrition over time and across generations [Wightman and Danziger, 2014].

Excessive weight gain during pregnancy has been increasingly tied to multiple negative maternal and childhood health outcomes, such as postpartum weight retention, macrosomia, cesarean delivery, and childhood obesity [Wrotniak et al., 2008; Goldstein et al., 2017]. High consumption of free sugars and ultra-processed foods has been indicated as one cause of excess gestational weight gain [Maslova et al., 2015; Rohatgi et al., 2017]. Speculatively, the association between gestational weight gain and caries in the present study may result, at least in part, from shared diets between mother and child that may feature high-sugar, cariogenic foods beginning from an early age.

The consumption of sweet foods in the first year of life is a risk factor for the later caries in the primary dentition [Chaffee et al., 2015]. Several possible mechanisms for this association have been proposed. Childhood is a critical period in which experiences with various foods and tastes can influence future food preferences and behaviors [Wendt et al., 1996; Ventura and Worobey, 2013]. In addition, early feeding patterns can enhance the establishment of a cariogenic biofilm, especially Streptococcus mutans, an important predictor of caries experience in very young children [Wan et al., 2003]. A pattern of offering high-sugar foods perpetuated from infancy and throughout childhood may explain long-term associations observed in the permanent dentition [Peres et al., 2016].

Household sugar purchases at age 3 years is a reflection of family sugar consumption, not necessarily the child’s intake. However, considering that young children quickly develop dietary patterns similar to their families, it is plausible that household sugar purchases are shared. Furthermore, sugar purchases are presumably aligned with family preferences and behaviors that persist throughout childhood, reflected in the association with permanent dentition caries observed in the present study.

Among the clinical and practical implications of the present study, multiple independent markers of dietary behaviors over several years suggests an ongoing pattern of potentially cariogenic feeding behaviors must be disrupted for effective caries prevention. Preventive interventions could be most impactful if implemented prior to permanent tooth eruption, rather than in adolescence or adulthood, when the majority of the population has already experienced tooth decay.

Previous research has identified a number of clinical, socio-environmental, and behavioral variables that can be measured in the first years of life and that may predict caries occurrence in the permanent dentition, including hygiene and diet behaviors and primary tooth caries. While the goal of the present investigation was specifically to assess dietary factors at different time points, caries risk assessment tools that classify children from low to high risk for future caries have potential clinical utility to inform treatment decisions and patient-tailored behavioral interventions [Doméjean, et al. 2017; Martignon, et al. 2019]. In this context, the present findings underscore the potential value of risk assessments that include child and family dietary variables from an early age. In particular, sugar consumption in the first years of life could prove a helpful indicator of future caries risk. The potential contribution to oral health is yet another rationale for emphasizing healthy diets for infants, mothers, and all family members both in individualized dental and medical care and under broader health-promoting policies.

Two behavioral interventions to reduce child sugar consumption have been tested in this population of low-income Brazilian families. One-on-one nutritional counseling for mothers and caregivers during the child’s first year of life that stressed national guidelines for infant feeding, which included avoiding sugar during the first two years of life, was shown to be effective in reducing dental caries in early childhood [Feldens et al., 2010a]. However, incorporating these same guidelines into a training and educational intervention for health professionals in public primary care health centers (a lower cost approach with potentially greater reach) showed a more modest reduction in sugar consumption without a statistically significant effect on primary dentition caries [Chaffee et al., 2013]. Together, the results of these studies showed that mothers of young children are able and willing to adhere to simple, objective recommendations, such as delaying the introduction of sugar in the first year of life and increasing the interval between meals. However, some recommendations, such as reducing bottle consumption, which may be emotional charged for a child, were more challenging to follow. The present study findings suggest the importance of delaying the introduction of sugary foods and beverages, which previous studies suggest may be an effective and acceptable message to present to caregivers.

Beyond interventions focused directly on individual family behaviors, more upstream policy-based strategies are better suited to combat the longstanding promotion of sugar consumption from the global sugar industry [Watt et al., 2019]. Potential policy measures include taxation of sugar products, restrictions on the availability and sale of sugar products in or near schools, restrictions advertising, clearer labeling of health risks, and anti-marketing, pro-health public communication. Favorably, a systematic review has reported that policy-level strategies are more likely to reduce population inequality in contrast to individual counseling [McGill et al., 2015]. For oral health, simulation studies have estimated that implementing a tax on in sugar sweetened beverages would reduce dental caries occurrence, substantially lowering treatment costs [Schwendicke et al., 2016].

Ultimately, adopting multi-strategy, interprofessional actions (including downstream and upstream components) that feature stakeholder engagement from the planning stages has the greatest potential to enable people to exercise control over factors that affect their health [Watt, 2007].(Watt, 2007) Sugar deserves particular attention as a common risk factor for dental caries, obesity and cardiovascular diseases [WHO, 2015], and the results of the present study add further evidence that such risks begin to take hold very early in life.

From a clinical perspective, the incidence of caries lesions in first molars soon after eruption confirms the need for early detection to allow implementation of non-invasive, less complex, and lower cost interventions, particularly those that can inactivate early lesions [Hilgert et al, 2015; Zenkner et al, 2019]. In addition to mechanical plaque control, a fundamental self-care behavior for maintenance of oral health [Kumar et al, 2016], fissure sealants and fluoride application can contribute to inactivation of early lesions [Hilgert et al, 2015; Chestnut et al., 2017].

Among the potential sources of bias in the present study, losses to follow-up between pregnancy and age 6 years were substantial, albeit not atypical of longitudinal studies in low- or middle-income countries featuring disadvantaged populations. Despite study attrition, any impact of selection bias can be considered low given that the average characteristics of the initial and analyzed cohort were virtually identical. Sugar consumption and pre-pregnancy weight were by self-report and could have been underestimated, although it is unlikely measurement error was differential by child caries status. While adjusted models did include multiple covariables, unmeasured confounding cannot be ruled out. The available sample size and low outcome prevalence resulted in wide confidence intervals. Participants were enrolled from municipal public health centers; thus, findings may not generalize to upper-income or rural families. Likewise, results may not generalize to other geographic and cultural contexts.

In conclusion, the present study identified associations between dental caries in the permanent teeth at age 6 years and gestational weight gain, sugar consumption at age 6 months, and household sugar purchases at age 3 years, albeit household purchases lost statistical significance in adjusted models. These results must be interpreted cautiously in light of study limitations. That said, these data suggest that dietary-related behaviors at the family and child level manifest from pregnancy and continue into childhood, with potential health consequences that continue into the permanent dentition. These findings indicate the need for multi-level interventions to interrupt this pattern and preserve good oral health over the life-course.

Acknowledgement

The Federal University of Health Sciences of Porto Alegre Nutrition Research Group (NUPEN) contributed to participant recruitment, data collection, and data management.

Funding Sources

Grant support was from the NIH National Institute for Dental and Craniofacial Research (F30DE022208), the Rio Grande do Sul Research Support Foundation (FAPERGS), and the Coordination for the Improvement of Higher Education Personnel (CAPES). The information presented is solely the responsibility of the authors and does not necessarily represent the official views of the sponsoring organizations.

Footnotes

Statement of Ethics

Research Ethics Committees of the Federal University of Health Sciences of Porto Alegre and the University of California Berkeley approved the study protocol. After research staff explained the study and all phases of data collection, parents provided written free and informed consent for themselves and on behalf of their children.

Conflict of Interest Statement

The authors have no conflicts of interest to declare.

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