Literature DB >> 34518250

Risk factors associated with early childhood caries among Wenzhou preschool children in China: a prospective, observational cohort study.

Liqin Mei1, Hongying Shi2, Zhiyuan Wei1, Qiao Li1, Xiping Wang3.   

Abstract

OBJECTIVES: Early childhood caries (ECC) is a serious health public problem that affects a large proportion of children in China. This study aimed to assess risk factors for the incidence of ECC among Wenzhou (China) preschoolers.
DESIGN: Prospective, observational cohort study.
SETTING: Kindergartens (n=6) in Wenzhou, China. PARTICIPANTS: 606 children who were 3-4 years of age and newly arrived in the kindergartens in September 2011.
METHODS: This was a longitudinal observational study with a 2-year follow-up of preschoolers of 3-4 years of age in Wenzhou (Southeast China). Oral health data were collected annually after the baseline survey. The risk factors associated with visible caries and increment of decayed, missing and filled teeth (dmft) were analysed through univariable and multivariable regression using generalised estimating equations.
RESULTS: The prevalence of ECC was increasing during the follow-up period (59.8% at enrolment, 71.8% at first year, and 76.4% at second year). Older age (b=0.07; 95% CI: 0.05 to 0.09; p<0.001), caregivers (relatives or nannies) (b=-1.20; 95% CI: -2.23 to -0.16; p=0.023), lower annual family income (¥10 000-¥20 000: b=2.04; 95% CI: 1.04 to 3.04; p<0.001; <¥10 000: b=1.78; 95% CI: 0.65 to 2.92; p=0.002) and more frequent consumption of sugary snacks/drinks at night (sometimes: b=0.88; 95% CI: 0.20 to 1.56; p=0.011; always: b=1.19; 95% CI: 0.13 to 2.25; p=0.028) were independently associated with the increments of dmft. Older age (OR=1.04, 95% CI: 1.03 to 1.05, p<0.001) and more frequent consumption of sweet snacks (OR=1.86, 95% CI: 1.06 to 3.27; p=0.030) were independently associated with a higher risk of visible caries.
CONCLUSIONS: The occurrence and severity of ECC were associated with older age, caregivers (relatives or nannies), lower annual family income and more frequent consumption of sweet snacks. It is imperative to strengthen oral health education for parents and limit sugary foods/snacks. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  oral medicine; paediatrics; risk management

Mesh:

Year:  2021        PMID: 34518250      PMCID: PMC8438756          DOI: 10.1136/bmjopen-2020-046816

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   3.006


This is the first study assessed the impact of dietary lifestyle, oral health behaviours and socioeconomic characteristics on the incidence of early childhood caries in preschoolers of 3–4 years of age in Wenzhou, China. Since the age of children would be a significant confounder, participants in this study were preschoolers aged 3–4 years. The sample size of this study was sufficient and the rate of lost to follow-up was controlled. The study sample was selected from a limited geographical area; therefore, it may not be regarded as representative of the children of that age living in Wenzhou. In this study, oral microbiology was not assessed; a study showed that a higher rate of Streptococcus mutans was associated with caries in Chinese children.

Introduction

Early childhood caries (ECC) is the development of dental caries in primary teeth of children <6 years of age.1 It is a common disease affecting the oral health-related quality of life of young people.2 3 In the past 10 years, the prevalence of ECC among 5-year-old children has been rising in China, with the rate of caries rising from 66.0% to 71.9%.4 5 Dental caries is a chronic and multifactorial-induced infectious disease.6–8 Evidence from the literature indicates that low family socioeconomic status (SES), consumption of sugary food and beverages, poor oral hygiene status and high level of Streptococcus mutans bacteria are associated with ECC.9–11 Warren et al12 observed that frequent consumption of sugary beverages was a significant risk factor for ECC. Similarly, Johansson et al13 reported that the frequent consumption of sweet snacks increased the occurrence of ECC. The relationship between SES and ECC has been shown in previous studies, which concluded that low SES was the main risk factor for ECC.14 15 A cross-sectional study conducted in the United Arab Emirates found that the mean numbers of decayed, missing and filled teeth (dmft) of preschool children were associated with the parents’ perceptions about their child’s dental status and maternal education.16 Kato et al15 found that parental education and family income were inversely associated with the prevalence of ECC in children. According to the National Health and Nutrition Examination Survey, children who lived in poverty had higher rates of caries than those who did not.17 Nevertheless, children with higher monthly family incomes still have a high risk of caries,18 suggesting that other multiple factors could be involved in the incidence of ECC. Due to the difficulty of conducting longitudinal studies, there is relatively few available data describing the relationship between risk factors and the incidence of ECC. Zhou et al18 stated that the incidence of ECC could be related to socioeconomic, behavioural and biological factors. A cohort study conducted in African-American preschoolers aged 3–22 months indicated that an increased incidence of ECC was associated with more frequent consumption of sweets, lower frequency of toothbrushing, occasionally or no fruit juice and a history of a visit to a dentist.19 Longitudinal studies represent the study design of choice to analyse the risk of dental caries for the exposure factors during an individual’s lifetime. Therefore, this longitudinal study aimed to assess the impact of dietary lifestyle, oral health behaviours and socioeconomic characteristics on the occurrence and severity of ECC in preschool children.

Methods

Study design and population

This was a longitudinal observational study that started in October 2011 and with a 2-year follow-up in Wenzhou (Southeast China). The study was led by the Department of Preventive and Pediatric Dentistry, School and Hospital of Stomatology, Wenzhou Medical University. There are three districts in Wenzhou: Lucheng, Longwan and Ouhai. Each district was divided into developed and developing regions according to the per capita income. A kindergarten was sampled randomly from one developed and one developing region in each district, and finally, six kindergartens were included in this study. Children who were 3–4 years of age and newly arrived in the kindergarten in September 2011 were enrolled after discussion with their parents, who accepted the oral cavity examination for up to 2 years. Exclusion criteria were children who were not resident or had systemic disease (such as cardiovascular and cerebrovascular disease, epilepsy and leukaemia), which has an impact on the data integrity and/or the safety of the participant. Written informed consent was obtained from all children’s parents.

Sample size

The prevalence of ECC in 5-year-old children was 66% in China.4 Since the subjects were 3–4 years old, the estimated prevalence of dental caries would be less than 66%. The calculation of the sample size was based on an estimate of the prevalence of ECC 50%.20 It resulted in 500 children, considering a power of 90%, a significant difference level of 5% and attrition of 20%.

Dental examination and diagnostic criteria

The oral examinations were conducted by a single examiner under natural light in a bright classroom in the kindergarten. The examinations were performed annually for 2 years. In well-lit premises, the dental examination was performed with a dental mirror and probe after drying the teeth with a sterile dry cotton ball. The number of dmft and the number of dmft surface (dmfs) were recorded. The examiner evaluated caries using dmft and dmfs according to the WHO criteria.21 Dental caries was found by visual examination without an X-ray. The examiner was trained and calibrated against a gold-standard examiner. Every examination period, 10% of the participants were re-examined. Kappa scores for the reproducibility of the single examiner for each wave of exams were 0.96, 0.98 and 0.96, respectively.

Data collection

Oral examination was conducted by a single examiner and recorded by another dentist in the kindergarten (online supplemental appendix 1). Data on caries-related factors were collected by structured questionnaires (online supplemental appendix 2/online supplemental appendix 3). Questionnaires were distributed to parents or other guardians annually after the oral examination and were collected the following day. The collected data included dietary habits (consumption of carbonated beverage, sweet snacks, and candies/chocolate, and consumption of sugary snack/drinks at night), feeding habits (breastfed or not and sleeping with a bottle), children’s oral hygiene behaviours (age tooth brushing started and frequency of toothbrushing), parental oral health practices (parents helped with tooth brushing and checked after tooth brushing), caregivers (who took care of the child, such as parents, grandparents, relatives or nannies), dental services and SES (annual family income and mother’s education level). Moreover, a 5-item knowledge survey on dental caries was used to assess parental knowledge on oral health. The score of each correct answer is 1 point, and the score of oral health knowledge was calculated by the sum of the scores of the five questions. The scores on oral health knowledge were classified as poor (score 0–2), intermediate (score 3) or good (score 4–5). The design of the questionnaire was based on the national Third Oral Health Questionnaire.

Statistical analysis

All collected data were entered in EpiData software, V.3.1. Continuous variables were described using means and SDs. Categorical data were presented as counts and percentages. EmpowerStats (X&Y Solutions, Wilmington, Delaware, USA) and R software V.2.11.1 (The R Project for Statistical Computing, www.r-project.org) were used for statistical analysis. Considering the non-independent characteristic of the repeated measurements on the same subject over time, the correlates of possible risk factors and the outcome of visible caries and dmft were examined with univariable and multivariable regression using generalised estimating equations. The ORs with 95% CIs are reported. Two-sided values of p<0.05 were considered statistically significant.

Patient and public involvement statement

Not applicable.

Results

Characteristics of the participants

A total of 606 resident children of 3–4 years of age were enrolled, and 87 non-resident children who did not complete at least two oral examinations were excluded in the study, resulting in a participation rate of 87.4%. There were 278 girls (47.9%) and 328 boys (52.1%). The response rates of annual dental examination were 445 (73.4%), 584 (96.4%) and 560 (92.4%). The reason for not completing the oral examination was that the child was absent on the examination day or had odontophobia. The recovery rates of annual valid questionnaires were 362 (59.7%), 389 (64.2%) and 370 (61.1%), respectively. Of the 606 participants, 57 children without questionnaire data were not included in the risk factor analysis. Combining dental examination data and questionnaire data, the final risk factor analysis was based on a total of 549 children. Table 1 presents the characteristics of the children and their parents. The questionnaires were mostly filled by the mothers (70.2%–73.8%). Most mothers had <12 years of education (44.8%–54.8%). The prevalence of ECC in the children of 3–4 years of age was 59.8%. After 1 year of follow-up, the prevalence increased to 71.8%. After 2 years of follow-up, the prevalence increased to 76.4%.
Table 1

Characteristics of the children and parents

VariablesBaselineFirst follow-upSecond follow-up
Questionnaire completers, n (%)
 Father84 (23.1)79 (20.3)74 (20.0)
 Mother267 (73.8)273 (70.2)266 (71.9)
 Others11 (3.0)37 (9.5)30 (8.1)
Mother’s educational level (years), n (%)
 <12162 (44.8)213 (54.8)195 (52.7)
 13–1597 (27.8)91 (23.4)82 (22.2)
 >15103 (28.5)85 (21.9)93 (25.1)
Children
Sex, n (%)
 Male237 (53.3)313 (53.6)305 (54.5)
 Female208 (46.7)271 (46.4)255 (45.5)
Caries, n (%)
 Without caries179 (40.2)165 (28.3)132 (23.6)
 With caries266 (59.8)419 (71.8)428 (76.4)
Characteristics of the children and parents

Univariable analyses

Univariable analyses (tables 2 and 3) on the incidence density of a tooth developing caries showed that children who were taken care of by others (relatives or nannies) had lower increments of dmft (b=−1.27; 95% CI: −2.28 to –0.26; p=0.014, table 2). Lower annual family income (¥10 000–¥20 000: b=1.97; 95% CI: 0.94 to 2.99; p<0.001; <¥10 000: b=1.79; 95% CI: 0.65 to 2.93; p=0.002, table 2), consumption of sweet snacks >1 time/day (b=1.12; 95% CI: 0.08 to 2.16; p=0.035, table 3), more frequent consumption of sugary snack/drinks at night (sometimes: b=0.97; 95% CI: 0.31 to 1.64; p=0.004; always: b=1.56; 95% CI: 0.50 to 2.62; p=0.004, table 3) and parental checking after toothbrushing (sometimes) (b=0.69; 95% CI: 0.10 to 1.28; p=0.021, table 2) were associated with higher increments of dmft.
Table 2

Univariable analyses between sociodemographic status, parental oral health behaviour, parental oral health knowledge level and ECC

VariablesdmftExperience of caries
b (95% CI)P valueOR (95% CI)P value
Mother’s education level (years), n (%)
 <12*262 (23.4)01
 13–15578 (51.6)−0.36 (−1.19 to 0.47)0.3950.93 (0.61 to 1.40)0.717
 >15281 (25.1)−0.48 (−1.53 to 0.56)0.3660.59 (0.37 to 0.96)0.033
Annual family income (¥), n (%)
 >¥20 000*33 (2.9)01
 ¥10 000–¥20 000833 (74.3)1.97 (0.94 to 2.99)<0.0011.43 (0.63 to 3.26)0.392
 <¥10 000255 (22.8)1.79 (0.65 to 2.93)0.0021.35 (0.57 to 3.21)0.493
Caregiver, n (%)
 Parents776 (69.2)01
 Grandparents304 (27.1)0.51 (−0.31 to 1.33)0.2201.09 (0.75 to 1.59)0.658
 Relatives or nannies41 (3.7)−1.27 (−2.28 to –0.26)0.0140.91 (0.39 to 2.13)0.834
Parents help with tooth brushing, n (%)
 Once a day*204 (18.2)01
 Once a week126 (11.2)0.37 (−0.54 to 1.28)0.4281.13 (0.68 to 1.90)0.630
 Sometimes662 (59.1)0.23 (−0.48 to 0.95)0.5191.08 (0.75 to 1.55)0.673
 Never129 (11.5)0.52 (−0.54 to 1.59)0.3371.07 (0.63 to 1.81)0.807
Parental check after tooth brushing, n (%)
 ≥1 time/week*289 (25.8)01
 <1 time/week832 (74.2)0.69 (0.10 to 1.28)0.0211.24 (0.90 to 1.70)0.192
Parental oral health knowledge level, n (%)
 Poor*221 (19.7)01
 Intermediate557 (49.6)−0.11 (−0.87 to 0.65)0.7770.87 (0.61 to 1.24)0.436
 Good344 (30.7)0.28 (−0.55 to 1.10)0.5091.21 (0.80 to 1.84)0.370

*Reference group.

dmft, decayed, missing and filled teeth; ECC, early childhood caries.

Table 3

Univariable analyses between dietary information, oral hygiene practices and ECC

VariablesdmftExperience of caries
b (95% CI)P valueOR (95% CI)P value
Breastfed or not, n (%)
 Breastfed*248 (22.1)01
 Breastfed mainly199 (17.8)−0.16 (−1.07 to 0.76)0.7380.98 (0.63 to 1.53)0.946
 Mixed feed248 (22.1)−0.73 (−1.63 to 0.16)0.1070.92 (0.59 to 1.44)0.724
 Formula feed mainly162 (14.5)−0.34 (−1.42 to 0.74)0.5380.99 (0.59 to 1.67)0.977
 Formula feed264 (23.6)−0.07 (−1.07 to 0.93)0.8861.25 (0.77 to 2.03)0.359
Consumption of carbonated beverage, n (%)
 <1 time/day*981 (87.5)01
 1 time/day100 (8.9)0.21 (−0.71 to 1.14)0.6511.19 (0.70 to 2.020.523
 >1 time/day40 (3.6)0.45 (−0.89 to 1.79)0.5101.77 (0.81 to 3.89)0.155
Consumption of sweet snacks, n (%)
 <1 time/day*513 (45.8)01
 1 time/day506 (45.1)0.36 (−0.25 to 0.98)0.2461.30 (0.97 to 1.74)0.082
 >1 time/day102 (9.1)1.12 (0.08 to 2.16)0.0352.02 (1.15 to 3.55)0.015
Consumption of candies/chocolate, n (%)
 <1 time/day *848 (75.7)01
 1 time/day215 (19.2)0.64 (−0.09 to 1.38)0.0871.37 (0.92 to 2.03)0.119
 >1 time/day58 (5.2)0.48 (−0.85 to 1.84)0.4791.54 (0.76 to 3.10)0.233
Sugary snack/drinks at night, n (%)
 Never*225 (20.1)01
 Sometimes712 (63.5)0.97 (0.31 to 1.64)0.0041.40 (0.98 to 2.00)0.063
 Always184 (16.4)1.56 (0.50 to 2.62)0.0041.78 (1.09 to2.90)0.020
Slept with bottles, n (%)
 Never*942 (84.1)01
 Sometimes110 (9.8)0.95 (−0.07 to 1.97)0.0691.47 (0.91 to 2.38)0.118
 Always68 (6.1)0.42 (−1.04 to 1.88)0.5731.13 (0.57 to 2.25)0.725
Age toothbrushing started, n (%)
 1 year old*48 (4.3)01
 2 years old152 (13.6)−0.01 (−1.82 to 1.81)0.9930.93 (0.46 to 1.88)0.837
 3 years old836 (74.6)0.81 (−0.99 to 2.61)0.3791.38 (0.68 to 2.81)0.371
 Never85 (7.6)1.01 (−1.08 to 3.11)0.3431.39 (0.57 to 3.37)0.469
Frequency of toothbrushing, n (%)
 ≥2 time/day*209 (18.6)01
 1 time/day419 (37.4)0.11 (−0.68 to 0.90)0.7930.95 (0.63 to 1.45)0.825
 <1 time/day450 (40.1)0.36 (−0.53 to 1.25)0.4300.94 (0.61 to 1.46)0.792
 Never43 (3.8)0.50 (−1.42 to 2.42)0.6110.84 (0.37 to 1.91)0.677

*Reference group.

dmft, decayed, missing and filled teeth; ECC, early childhood caries.

Univariable analyses between sociodemographic status, parental oral health behaviour, parental oral health knowledge level and ECC *Reference group. dmft, decayed, missing and filled teeth; ECC, early childhood caries. Univariable analyses between dietary information, oral hygiene practices and ECC *Reference group. dmft, decayed, missing and filled teeth; ECC, early childhood caries. Univariable analyses for visible caries showed that children whose mother had more than 15 years of education experience had a lower risk of dental caries (OR=0.59, 95% CI: 0.37 to 0.96; p=0.033, table 2). Children who consumed sweetened snacks more than once a day had a higher risk of dental caries (OR=2.02, 95% CI: 1.15 to 3.55; p=0.015, table 3). Children who consumed sugary snacks/drinks at night frequently had a higher risk of dental caries (OR=1.78, 95% CI: 1.09 to 2.90; p=0.020, table 3).

Multivariable analyses

The multivariable model (table 4) for the increments of dmft showed that older age (b=0.07; 95% CI: 0.05 to 0.09; p<0.001), caregivers (relatives or nannies) (b=−1.20; 95% CI: −2.23 to –0.16; p=0.023), lower annual family income (¥10 000–¥20 000: b=2.04; 95% CI: 1.04 to 3.04; p<0.001; <¥10 000: b=1.78; 95% CI: 0.65 to 2.92; p=0.002) and more frequent consumption of sugary snacks/drinks at night (sometimes: b=0.88; 95% CI: 0.20 to 1.56; p=0.011; always: b=1.19; 95% CI: 0.13 to 2.25; p=0.028) were independently associated with the increments of dmft.
Table 4

Risk factors associated with the increment of dmft and the experience of caries analysed by generalised estimating equation

FactorsdmftExperience of caries
b95% CIP valueOR95% CIP value
(Intercept)−2.97−4.94 to −1.000.0030.090.02 to 0.34<0.001
Age (months)0.070.05 to 0.09<0.0011.041.03 to 1.05<0.001
Sex (girls)−0.14−0.84 to 0.570.7081.260.87 to 1.830.215
Mother’s education level (years)
 <12*01
 13–15−0.34−1.16 to 0.470.4110.940.62 to 1.440.789
 >15−0.29−1.32 to 0.740.5800.630.38 to 1.040.074
Caregiver
 Parents*01
 Grandparents0.53−0.28 to 1.330.2011.130.77 to 1.650.538
 Relatives or nannies−1.20−2.23 to −0.160.0230.980.40 to 2.430.967
Annual family income
 >¥20 000*01
 ¥10 000–¥20 0002.041.04 to 3.04<0.0011.440.63 to 3.290.384
 <¥10 0001.780.65 to 2.920.0021.340.56 to 3.190.510
Consumption of sweet snacks
 <1 time/day*01
 1 time/day0.28−0.33 to 0.890.3741.210.90 to 1.630.215
 >1 time/day0.89−0.15 to 1.940.0951.861.06 to 3.270.030
Sugary snack/drinks at night
 Never*01
 Sometimes0.880.20 to 1.560.0111.290.90 to 1.840.163
 Always1.190.13 to 2.250.0281.420.86 to 2.360.168
Parental check after toothbrushing (sometimes)0.47−0.12 to 1.060.01161.140.82 to 1.590.427

*Reference group.

dmft, decayed, missing and filled teeth.

Risk factors associated with the increment of dmft and the experience of caries analysed by generalised estimating equation *Reference group. dmft, decayed, missing and filled teeth. The multivariable model (table 4) for visible caries showed that older age (OR=1.04, 95% CI: 1.03 to 1.05; p<0.001) and more frequent consumption of sweet snacks (OR=1.86, 95% CI: 1.06 to 3.27; p=0.030) were independently associated with a higher risk of visible caries.

Discussion

ECC is a serious health public problem that affects a large proportion of children in China.4 5 This study aimed to assess risk factors for the incidence of ECC among Wenzhou (China) preschoolers. The results showed that the occurrence and severity of ECC were associated with older age, caregivers (relatives or nannies), lower annual family income and consumption of sweet snacks. Those results are supported by other studies on ECC.22 23 Most studies reported an association between ECC and frequent consumption of sweets.12 13 24 This study reported that children who ate sweet snacks frequently or consumed sugary snacks/drinks at night had a higher risk of dental caries. The results are supported by previous studies.6 7 12 13 24 Watanabe et al25 reported that the incidence of ECC was associated with the consumption of sweet snacks and sweetened beverages. The findings suggest that it is necessary to strengthen oral health education for parents and to limit the intake of sugary foods/snacks. In this study, the multivariable analysis showed a lower increment of dmft among children who were taken care of by relatives or nannies. It was reported that children who were taken care of primarily by grandparents had higher dmft increments.26 Children whose mother worked in professional and engineering or service had lower rates of dental caries than those whose mother was unemployed.15 When the caregiver was not a parent or grandparent but someone else (a relative or a nanny), the family had to bear the cost of hiring that person, indicating that the family had sufficient income. Compared with the elderly, relatives or nannies might have higher compliance and better service awareness, and they might be more responsible for children’s oral health. Our findings showed that children with a lower family income had a higher increment of dmft and children whose mother had more than 15 years of education experience had a lower risk of dental caries, as supported by the previous studies.15 27 Nevertheless, the underlying mechanism of the influence of the SES on dental caries still needs to be defined. Parental SES might affect the prevalence of ECC through parental oral health knowledge and practices.28 Educated mothers are more likely to know how to protect their children from dental caries. Patients with special needs and difficulty accessing oral health services seems to have higher rates of dental caries.29 Clearly, these issues warrant further research, including further analyses of the present study’s data. Whether there is a relationship between parental SES and oral health behaviours remains unknown. There were some limitations to this study. First, some information bias and recall bias were inevitable in this investigation. Second, some people might sometimes respond to questionnaires based on general social norms rather than actual situations because they attempt to adhere to what is socially desirable. Third, there was some selection bias. The study sample was selected from a limited geographic area. Therefore, it may not be regarded as representative of the children of that age living in Wenzhou. Fourth, oral microbiology was not assessed; a study showed that high rates of plaque mutans streptococci were associated with carries in Chinese children.30 Finally, due to the high prevalence of dental caries among 3–4 years old children, further research in younger children was necessary.

Conclusions

The occurrence and severity of ECC were associated with older age, caregivers (relatives or nannies), lower annual family income and more frequent consumption of sweet snacks. The findings indicated that lower SES and more frequent consumption of sweet snacks had a significant impact on the occurrence and severity of ECC.
  28 in total

1.  The role of the pediatrician in the oral health of children: A national survey.

Authors:  C W Lewis; D C Grossman; P K Domoto; R A Deyo
Journal:  Pediatrics       Date:  2000-12       Impact factor: 7.124

2.  [Prevalences of periodontal diseases and dental caries in China: re-analysis of the data from the Third National Epidemiological Survey on Oral Health].

Authors:  Cai-fan Cao
Journal:  Zhonghua Kou Qiang Yi Xue Za Zhi       Date:  2013-05

Review 3.  Policy on Early Childhood Caries (ECC): Classifications, Consequences, and Preventive Strategies.

Authors: 
Journal:  Pediatr Dent       Date:  2016-10       Impact factor: 1.874

4.  Identification of caries risk factors in toddlers.

Authors:  M Fontana; R Jackson; G Eckert; N Swigonski; J Chin; A Ferreira Zandona; M Ando; G K Stookey; S Downs; D T Zero
Journal:  J Dent Res       Date:  2010-12-20       Impact factor: 6.116

5.  Factors associated with early childhood caries incidence among high caries-risk children.

Authors:  Tariq Ghazal; Steven M Levy; Noel K Childers; Barbara Broffitt; Gary R Cutter; Howard W Wiener; Mirjam C Kempf; John Warren; Joseph E Cavanaugh
Journal:  Community Dent Oral Epidemiol       Date:  2015-03-16       Impact factor: 3.383

6.  Factors associated with dental caries in a group of American Indian children at age 36 months.

Authors:  John J Warren; Derek Blanchette; Deborah V Dawson; Teresa A Marshall; Kathy R Phipps; Delores Starr; David R Drake
Journal:  Community Dent Oral Epidemiol       Date:  2015-11-06       Impact factor: 3.383

Review 7.  Detection and diagnosis of the early caries lesion.

Authors:  J Gomez
Journal:  BMC Oral Health       Date:  2015-09-15       Impact factor: 2.757

8.  Factors related to children's caries: a structural equation modeling approach.

Authors:  Rong Min Qiu; Edward C M Lo; Qing Hui Zhi; Yan Zhou; Ye Tao; Huan Cai Lin
Journal:  BMC Public Health       Date:  2014-10-15       Impact factor: 3.295

Review 9.  Caries management by risk assessment: A review on current strategies for caries prevention and management.

Authors:  S Uma Maheswari; Jacob Raja; Arvind Kumar; R Gnana Seelan
Journal:  J Pharm Bioallied Sci       Date:  2015-08

10.  Dental caries status and its associated factors among 5-year-old Hong Kong children: a cross-sectional study.

Authors:  Kitty Jieyi Chen; Sherry Shiqian Gao; Duangporn Duangthip; Samantha Kar Yan Li; Edward Chin Man Lo; Chun Hung Chu
Journal:  BMC Oral Health       Date:  2017-08-31       Impact factor: 2.757

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