Abstract
Objectives
This study aimed to investigate the caries activity and associated factors among primary caregivers of preschoolers.
Methods
This cross‐sectional study included 251 primary caregivers who were responsible for the daily care of preschool children. Caries activity of caregivers and children was evaluated using the Cariostat kit. Additionally, caregivers’ dental caries, oral hygiene status, oral health‐related behaviors, and sociodemographics were collected. Univariate and multivariate logistic regression were performed to identify independent factors.
Results
The mean Cariostat score for participants was 1.57 ± 0.43, and 33.1% (n = 83) of caregivers had Cariostat score over 1.5. Primary caregivers who cared for children with high Cariostat scores were more likely to have high Cariostat scores themselves (p < 0.001). After adjustment, high caries activity was independently associated with DMFT ≥5 (OR = 2.31, 95% CI: 1.08–4.94), snacking ≥3 times/day (OR = 2.96, 1.41–6.28), grandparent caregivers (OR = 9.65, 2.18–68.70), and children under their care with high Cariostat scores (OR = 4.05, 2.09–7.97).
Conclusion
Caregivers’ caries activity was associated with their own caries status, snacking frequency, and their children’s caries activity levels. Family‐based interventions targeting snacking consumption and caries management are recommended.
Keywords: caregiver, caries activity, children, dental caries, family, oral health
1. Introduction
Dental caries, a dynamic and preventable disease, is marked by the balance of remineralization and demineralization. Caries activity describes the incidence of dental caries and the rate of progression of existing lesions over a specified period [1]. While carious lesions are often detected visually or by tactile examination during clinical examination, it is also paramount for clinicians to anticipate upcoming caries activity; therefore, a comprehensive caries risk assessment is often needed to formulate individualized treatment plans for children [2]. Caries risk assessment involves a series of investigations, including individuals’ social and cultural background and their oral health‐related behaviors [3].
Dental caries is related to multiple factors. Evidence suggests that the initiation and progression of dental caries are linked to cariogenic pathogens such as Streptococcus mutans and Lactobacilli [4]. Other bacteria, for instance, Leptotrichia, Selenomonas, Prevotella, Veillonella, and Neisseria, were also associated with caries [5, 6]. Li et al. [7] suggested that caries occurrence was associated with children’s toothbrushing habits, the daily intake of cariogenic foods or drinks before bedtime, and caregivers’ oral health knowledge. Zou et al. [8] found that, within Chinese families, similar S. mutans genotypes were present in mothers and children, suggesting an association between children’s and their caregivers’ caries status.
The existing caries activity tests (CATs) can be classified into two major types: (i) estimation of cariogenic bacteria such as Lactobacilli and S. mutans in saliva or plaque and (ii) evaluation of virulent characteristics of microorganisms, such as acidogenesis or their ability to reduce chemical agents [9]. The Cariostat, a colorimetric test developed by Shimono and Sobue in 1974, uses a medium containing sucrose and two pH indicators to detect the continuous pH changes caused by bacteria in the plaque sample [10, 11]. Acid production from microbial sucrose metabolism lowers the medium pH, inducing a color change that reflects the acidogenicity of the plaque biofilm. Strong correlations between pH and Cariostat scores, and the high sensitivity of Cariostat in detecting caries, have been well documented [4, 11]. A longitudinal study revealed that Cariostat could predict the development of new carious lesions in preschool children [11]. However, while Cariostat measures plaque acidogenicity and cariogenic potential, it does not capture the full complexity of caries risk.
Other CAT kits have also been introduced in prior studies. Cariview, first developed in Korea, is a colorimetric caries activity test based on acid production by plaque bacteria [12]. Like Cariostat, Cariview is a plaque acidogenicity‐based test that indirectly estimates cariogenic potential. Additionally, Dentocult SM and Dentocult LB are CATs that can detect the density of Streptococcus mutans and Lactobacilli, respectively [13, 14]. A 2‐year longitudinal study found that Dentocult SM was more reliable than Dentocult LB for predicting caries progression [15]. A cross‐sectional study demonstrated that Cariview detected the acidogenic potential of the entire microorganism within dental plaques, exhibiting stronger correlations with preschool children’s dft and dt indices than Dentocult SM did [12]. However, as a relatively new CAT, the number of studies examining its application remains limited, which restricts the evidence available for comparison. Conversely, Cariostat is a traditional and widely used CAT, with a substantial body of evidence supporting its validity and facilitating comparisons with previous studies [4, 11].
To date, although caries risk assessment and its related factors in young children have been extensively studied in preschool children, the caries risk of their primary caregivers remains underexplored. A recent case–control study revealed that caregivers of children with early childhood caries (ECC) had higher odds of dental caries than their peers, and children whose caregivers had caries tended to be affected by ECC [16]. As primary caregivers play a key role in maintaining oral health among young children, investigating their caries risk and related factors may inform the development of family‐based caries prevention strategies. Therefore, this study aimed to investigate the Cariostat score and its associated factors among caregivers of preschool children. Although the aforementioned CAT kits are noninvasive, chairside assessment methods that are relatively easy to perform, they do not directly detect existing carious lesions; instead, they evaluate the acidogenicity or cariogenic potential of the dental plaque. Those kits do not capture other risk determinants, such as dietary practices, fluoride exposure, or socioeconomic conditions. We hypothesize that caregivers’ Cariostat scores might be associated with their caries status, oral health‐related behaviors, and their children’s Cariostat scores.
2. Materials and Methods
2.1. Study Design and Participant Recruitment
This cross‐sectional study was conducted in Anning. Anning Maternity and Child Care Hospital provides regular annual dental check‐ups for local children, either at the hospital or at the kindergartens. Therefore, between March and November 2025, invitation letters were distributed to the primary caregivers of children who had dental examinations at the Anning Maternity and Child Care Hospital. Approximately half of the participants were recruited at the hospital, and the others were from the local kindergartens. This study was reviewed and approved by the local Ethics Committee of the Anning Maternity and Child Care Hospital (Ref No. ANFY2024KQ001) and the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (Ref No. UW24‐822). It was reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines [17]. Caregivers who were willing to participate and provided written informed consent were enrolled in the study. The inclusion criteria included (i) the primary caregivers who were taking care of preschool children, living with the target child for at least 6 months; (ii) the cared children were 2–5 years of age; and (iii) participants without disabilities or other severe systemic diseases. The exclusion criteria were (i) participants who were unable to communicate normally or complete questionnaires and oral examinations; (ii) participants who were unwilling to join this study; and (iii) individuals who did not provide informed consent.
2.2. Sample Size Calculation
The primary outcome of this study was the Cariostat score of the primary caregivers who were responsible for the daily care of the preschoolers. In our pilot study, the average Cariostat score of parents was 1.38 ± 0.40. With a confidence level of 95%, Z α/2 was estimated to be 1.96, the standard deviation was 0.40, and the desired margin of error (E) was assumed to be ±0.05. Thus, at least 246 participants were required. Assuming a 90% response rate, 273 participants should be invited initially.
2.3. Data Collection
Data were collected through questionnaire surveys and oral examinations. After obtaining written informed consent, participants were asked to complete a structured, self‐administered questionnaire to collect information on sociodemographic characteristics (e.g., sex, age, educational level) and oral health behaviors (e.g., toothbrushing frequency, toothbrushing duration, snacking frequency). Toothbrushing frequency and duration were assessed using two questions: (1) “How many times do you brush your teeth per day?” (2) “How many minutes do you spend brushing your teeth each time?” Snack consumption frequency was assessed using one question: “How many times do you eat snacks between main meals per day?”
2.4. Dental Caries Assessment
Two calibrated, registered pediatric dentists conducted the dental examinations, with kappa values above 0.80. Dental caries status was evaluated in line with the coding criteria proposed by the World Health Organization [18]. The number of decayed, missing due to caries, and filled teeth (DMFT) scores was calculated, and the level of caries experience among the recruited caregivers was recoded into four levels based on their DMFT score, namely (i) very low caries experience with a DMFT score less than 5.0, (ii) low caries experience with a DMFT score of 5.0–8.9, (iii) moderate caries experience with a DMFT score of 9.0–13.9, and (iv) high caries experience with a DMFT score above 13.9 [18].
2.5. Oral Hygiene Assessment
Oral hygiene status was evaluated using the Simplified Debris Index (DI‐S) [19], with higher scores indicating poorer oral hygiene. Additionally, based on the DI‐S scores, oral hygiene status was classified into three levels, namely (i) good oral hygiene with a DI‐S score of 0–0.6; (ii) fair oral hygiene with a DI‐S score of 0.7–1.8; and (iii) poor oral hygiene with a DI‐S score of 1.9–3.0 [20].
2.6. Cariostat Test
The Cariostat kit (Gang Da Medical Technology Co., Ltd., China) was used to assess participants’ caries activity [21]. Several studies reported that Cariostat scores were significantly associated with caries status and salivary microbial communities [21–23]. A sterile swab was used to collect the plaque from the buccal surface of upper molars and lower anterior teeth in line with the manufacturer’s instructions. The collected samples were stored in a vial containing culture medium and incubated at 37 °C for 48 h. Two dental assistants (inter‐ and intra‐rater reliability above 0.80) compared the color of the medium to the reference chart provided in the Cariostat kit and recorded the scores, which ranged from 0 to 3 in 0.5‐point intervals. Cariostat scores were categorized into three levels: (i) low risk with a Cariostat score of 0–0.5; (ii) moderate risk with a Cariostat score of 1–1.5; and (iii) high risk with a Cariostat score of 2.0 or above [24].
2.7. Data Analysis
Statistical analyses were conducted using IBM SPSS Statistics 28.0 (IBM Corp, Armonk, New York). Ordinal data were analyzed using chi‐square tests and Fisher’s exact tests. Covariates with p‐values less than 0.1 were included in the univariate logistic regression model. Univariate and multivariate logistic regression models were used to examine crude and adjusted associations between potential risk factors and caries activity. Odds ratios (OR) and corresponding 95% confidence intervals (CI) were used to assess the associations. All the comparisons were two‐sided, and the significance level was set at 0.05.
3. Results
3.1. Characteristics of Participants
Among the invited primary caregivers, 251 received Cariostat assessment and completed the questionnaire survey (response rate: 93.7%). The caregivers were aged between 22 and 70 years old. Most primary caregivers were female (69.7%), with mothers comprising the predominant group at 66.1% and fathers at 28.3%. Regarding education, more than half (62.2%) of the primary caregivers held a bachelor’s degree or higher (Table 1).
Table 1.
Characteristics of the recruited caregivers (n = 251).
| Variables | n (%) |
|---|---|
| Gender | |
| Male | 76 (30.3) |
| Female | 175 (69.7) |
| Role in the family | |
| Mother | 166 (66.1) |
| Father | 71 (28.3) |
| Grandparents | 14 (5.6) |
| Cariostat scores of children under care | |
| Low or moderate (0–1.5) | 192 (76.5) |
| High (≥2.0) | 59 (23.5) |
| Highest educational level in the family | |
| High school or below | 95 (37.8) |
| Bachelor’s degree or above | 156 (62.2) |
3.2. Oral Health Status of the Recruited Caregivers
The oral health status of the 251 recruited primary caregivers was presented in Table 2. Regarding caries status, the mean DMFT index was 2.62 ± 3.31. The overall caries prevalence was 71.7%. When classified by caries experience level, the majority (80.9%) exhibited a very low level (DMFT <5.0), while only a small proportion presented moderate (4.8%) or high (0.8%) levels of caries experience. In terms of oral hygiene status, the mean DI‐S score among primary caregivers was 0.97 (±0.62). Most caregivers (n = 170, 67.7%) were rated as fair, 64 (25.5%) had good oral hygiene, and only 6.8% had poor oral hygiene.
Table 2.
Oral health status of the recruited primary caregivers (n = 251).
| Oral health status | Mean (SD) | n (%) |
|---|---|---|
| Caries status | ||
| DMFT | 2.62 (3.31) | — |
| Caries prevalence (DMFT > 0) | — | 180 (71.7) |
| Level of caries experience | ||
| Very low (DMFT <5.0) | — | 203 (80.9) |
| Low (DMFT 5.0–8.9) | — | 34 (13.5) |
| Moderate (DMFT 9.0–13.9) | — | 12 (4.8) |
| High (DMFT >13.9) | — | 2 (0.8) |
| Oral hygiene status | ||
| DI‐S scores | 0.97 (0.62) | — |
| Oral hygiene levels | ||
| Good | — | 64 (25.5) |
| Fair | — | 170 (67.7) |
| Poor | — | 17 (6.8) |
3.3. Oral Health‐Related Behaviors Among the Recruited Primary Caregivers
Among the recruited primary caregivers, 78.5% (n = 197) brushed twice daily or more, and the majority (80.9%, n = 203) spent less than 3 min per toothbrushing session. Additionally, 17.9% (n = 45) of caregivers reported snacking 3 or more times daily (Table 3).
Table 3.
Oral health‐related behaviors of the recruited caregivers (n = 251).
| Oral health‐related behaviors | n (%) |
|---|---|
| Toothbrushing frequency | |
| Once daily or less | 54 (21.5) |
| Twice daily or more | 197 (78.5) |
| Toothbrushing duration | |
| <3 min | 203 (80.9) |
| ≥3 min | 48 (19.1) |
| Snacking frequency | |
| <3 times daily | 206 (82.1) |
| ≥3 times daily | 45 (17.9) |
3.4. Cariostat Scores and Associated Factors Among the Recruited Primary Caregivers
The mean Cariostat score among the primary caregivers was 1.57 (±0.43). The majority (96%) of primary caregivers exhibited moderate to high risk, and only 4.0% (n = 10) of the caregivers had a Cariostat score below 1.0 (Table 4). The proportion of caregivers with Cariostat scores ≥2.0 was significantly higher among those with a DMFT score ≥5 than among those with a DMFT score <5 (45.8% vs. 30.0%, p = 0.037). A significantly higher proportion of caregivers with Cariostat scores ≥2.0 reported toothbrushing durations of less than 3 min (36.5% vs. 18.8%, p = 0.019). Regarding snacking frequency, caregivers who snacked 3 or more times per day had higher Cariostat scores (48.9% vs. 29.6%, p = 0.013). Additionally, grandparents showed higher scores than other family roles (p < 0.001). Caregivers caring for children with high Cariostat scores also exhibited significantly high Cariostat scores (57.6% vs. 25.5%, p < 0.001, Table 5).
Table 4.
Cariostat test results among the recruited caregivers (n = 251).
| Cariostat test result | n (%) | Mean (SD) |
|---|---|---|
| Cariostat score | — | 1.57 (0.43) |
| Levels | ||
| Low (0–0.5) | 10 (4.0) | — |
| Moderate (1–1.5) | 158 (62.9) | — |
| High (≥2.0) | 83 (33.1) | — |
Table 5.
Factors associated with caregivers’ Cariostat scores (n = 251).
| Variables | Cariostat scores | χ 2/t | p‐Value | |
|---|---|---|---|---|
| ≥2.0 | 0–1.5 | |||
| n (%) | n (%) | |||
| Gender | ||||
| Male | 27 (35.5) | 49 (64.5) | 0.298 | 0.585 |
| Female | 56 (32.0) | 119 (68.0) | ||
| Highest educational level | ||||
| High school or below | 35 (36.8) | 60 (63.2) | 0.984 | 0.321 |
| Bachelor’s degree or above | 48 (30.8) | 108 (69.2) | ||
| Caries status | ||||
| DMFT <5 | 61 (30.0) | 142 (70.0) | 4.370 | 0.037 |
| DMFT ≥5 | 22 (45.8) | 26 (54.2) | ||
| Oral hygiene status | ||||
| Good | 22 (34.4) | 42 (65.6) | 0.153 | 0.926 |
| Fair | 56 (32.9) | 114 (67.1) | ||
| Poor | 5 (29.4) | 12 (70.6) | ||
| Toothbrushing frequency | ||||
| Once daily or less | 23 (42.6) | 31 (57.4) | 2.820 | 0.093 |
| Twice daily or more | 60 (30.5) | 137 (69.5) | ||
| Toothbrushing duration | ||||
| <3 min | 74 (36.5) | 129 (63.5) | 5.497 | 0.019 |
| ≥3 min | 9 (18.8) | 39 (81.2) | ||
| Snacking frequency | ||||
| <3 times daily | 61 (29.6) | 145 (70.4) | 6.201 | 0.013 |
| ≥3 times daily | 22 (48.9) | 23 (51.1) | ||
| Role in the family | ||||
| Mother | 49 (29.5) | 117 (70.5) | 18.616 | <0.001 |
| Father | 22 (31.0) | 49 (69.0) | ||
| Grandparents | 12 (85.7) | 2 (14.3) | ||
| Cariostat scores of children | ||||
| Low or moderate (0–1.5) | 49 (25.5) | 143 (74.5) | 21.019 | <0.001 |
| High (≥2.0) | 34 (57.6) | 25 (42.4) | ||
Table 6 presents the results of univariate and multivariate logistic regression analyses examining factors associated with high Cariostat scores among caregivers. In the univariate model, parents with a DMFT index ≥5 (OR = 1.97, 95% CI: 1.03–3.75), snacking ≥3 times per day (OR = 2.27, 95% CI: 1.18–4.40), grandparents (vs. father, OR = 13.40, 95% CI: 3.29–90.7), and children under care with high Cariostat scores (OR = 3.97, 95% CI: 2.17–7.37) exhibited significantly higher odds of Cariostat scores ≥2.0. Brushing teeth for ≥3 min (OR = 0.40, 95% CI: 0.18–0.84) was associated with a significantly reduced risk, while brushing ≥ twice per day (OR = 0.59, 95% CI: 0.32–1.10) showed a nonsignificant protective trend, and maternal caregiving role (OR = 0.93, 95% CI: 0.51–1.72) was not associated with Cariostat results.
Table 6.
Univariate and multivariate logistic regression models identify factors associated with high‐level Cariostat scores among caregivers.
| Covariates | Univariate model | Multivariate model | ||
|---|---|---|---|---|
| Crude | p‐Value | Adjusted | p‐Value | |
| OR (95% CI) | OR (95% CI) | |||
| Caries status (DMFT) | ||||
| ≥5 (Ref: <5) | 1.97 (1.03–3.75) | 0.039 | 2.31 (1.08–4.94) | 0.030 |
| Toothbrushing frequency/day | ||||
| ≥Twice (Ref: ≤ Once) | 0.59 (0.32–1.10) | 0.095 | 0.64 (0.31–1.33) | 0.227 |
| Toothbrushing duration | ||||
| ≥3 min (Ref: <3 min) | 0.40 (0.18–0.84) | 0.022 | 0.47 (0.19–1.07) | 0.084 |
| Snacking frequency/day | ||||
| ≥3 times (Ref: <3 times) | 2.27 (1.18–4.40) | 0.014 | 2.96 (1.41–6.28) | 0.004 |
| Role in the family | ||||
| Mother (Ref: Father) | 0.93 (0.51–1.72) | 0.821 | 0.75 (0.39–1.46) | 0.399 |
| Grandparents (Ref: Father) | 13.40 (3.29–90.7) | 0.001 | 9.65 (2.18–68.70) | 0.007 |
| Cariostat scores of children under care | ||||
| High (Ref: Low/moderate) | 3.97 (2.17–7.37) | <0.001 | 4.05 (2.09–7.97) | <0.001 |
In the multivariate adjusted model, most associations remained consistent, namely, DMFT index ≥5 (OR = 2.31, 95% CI: 1.08–4.94), frequent snacking (OR = 2.96, 95% CI: 1.41–6.28), grandparental care (OR = 9.65, 95% CI: 2.18–68.70), and high Cariostat scores of children under care (OR = 4.05, 95% CI: 2.09–7.97) continued to predict elevated caries risk. The protective effect of longer toothbrushing duration was attenuated, whereas toothbrushing frequency (OR = 0.64, 95% CI: 0.31–1.33) and maternal caregiving role (OR = 0.75, 95% CI: 0.39–1.46) remained not significantly associated (Table 6).
4. Discussion
To the best of our knowledge, this cross‐sectional study was the first to investigate caries activity among caregivers of preschool children and to explore potential associated factors. One of our main findings was that caregivers of children with high Cariostat scores were more likely to have high Cariostat scores themselves (adjusted OR = 4.05, 95% CI: 2.09–7.97). This finding revealed a potential association in caries risk between children and their caregivers. Previous studies have consistently reported a positive association between caregivers’ and their children’s caries status, especially for mothers and children [16, 25]. One possible explanation is that caregivers’ own dental health predicts their oral health knowledge and behavior, which in turn influence the preventive oral health practices they apply for their children [26]. Additionally, cariogenic bacteria, such as S. mutans, can be transmitted from caregivers to children via shared tableware, kissing, blowing on food, and other forms of intimate contact [27]. Coupled with similar dietary habits within the family [28], a homogeneous cariogenic oral environment is formed, which collectively explains the strong association between caries risk of caregivers and their children. The findings support a family‐based strategy to caries prevention. Rather than focusing solely on the child, assessing cariogenic activity among caregivers may help identify shared risk factors and guide interventions targeting the family.
Caregivers’ caries status was significantly associated with their Cariostat scores. Caregivers with DMFT scores ≥5 were more likely to exhibit high Cariostat scores compared to those with DMFT scores <5 (adjusted OR = 2.31, 95% CI: 1.08–4.94). This finding aligned with previous studies reporting a positive association between caries experience and Cariostat scores [11, 23, 24]. The observed association suggests that individuals with more severe caries experience may continue to have a cariogenic oral environment, potentially characterized by a high level of cariogenic microbiota [29]. This may contribute to persistent cariogenic activity and, consequently, an increased risk of future caries development.
Furthermore, frequent consumption of between‐meal sugar‐containing snacks or beverages is associated with an increased risk for developing caries lesions [3]. In this study, caregivers who consumed snacks at least 3 times per day also tended to have Cariostat scores ≥2.0 (adjusted OR = 2.96, 95% CI 1.41–6.28, p = 0.004). In a cross‐sectional study, the dietary patterns of two groups of young adults were investigated, showing that the high caries group (with ≥5 decayed surfaces) had a significantly higher frequency of snack and total meal intake than the caries group with 2–4 decayed surfaces [30]. Therefore, Cariostat may serve as a valuable adjunct to conventional caries assessment in adult caregivers. Identifying caregivers with high Cariostat scores may help to implement targeted preventive interventions, such as dietary management, fluoride‐based preventive measures, and regular monitoring, rather than focusing solely on the treatment of existing carious lesions.
In our study, a high Cariostat score was observed more in grandparents than among parents. Interestingly, preschoolers with grandparents as the primary caregiver were associated with a higher risk of ECC compared with preschoolers with a mother or nursery school employees [31]. Parental oral health literacy can influence their children’s oral health, and it is defined as “the caregiver’s ability to access, understand, and use healthcare information to make appropriate decisions about their children’s oral health [32].” Moreover, parents’ toothbrushing practices, such as frequency and techniques, could influence their children’s oral hygiene [33]. Reinforcing the importance of early oral health education to caregivers and parents can reduce the risk of ECC in children.
Several limitations existed in this study. Firstly, the caregivers were recruited using a convenience sampling approach. We included mothers, fathers, and grandparents, but only 5.6% of children were cared for by grandparents. Although the observed risk trend for grandparents as caregivers was clinically relevant and consistent with the literature, the small number of grandparent caregivers in our sample (n = 14) resulted in wide CIs for the subgroup analysis, reducing the precision of estimates and the statistical power to detect meaningful differences compared with parent caregivers (mothers: 66.1%, fathers: 28.3%). Therefore, the magnitude of the observed effect (OR = 9.65) should not be interpreted as a precise estimate of risk, and future studies with larger randomly selected cohorts are warranted. Moreover, oral hygiene status was assessed using DI‐S scores in this study, a simple and valid approach for evaluating debris on tooth surfaces, and no significant association was found between caregivers’ oral hygiene status and their Cariostat scores. However, the sensitivity of the DI‐S index (75.2%) was reported to be lower than that of the O’Leary plaque index (96.8%) and the oral hygiene index for community use (CPI, 95.1%) [34]. Further studies are warranted to verify these findings using more sensitive indices.
Another limitation was that Cariostat was the only CAT kit used in this study. The occurrence of dental caries is influenced not only by the acidogenic potential of microorganisms but also by dietary habits, fluoride exposure, oral hygiene practices, and socioeconomic factors [23, 35, 36]. Cariostat evaluated only one biological dimension of caries risk assessment and did not capture the full complexity of caries risk. In addition, cross‐sectional studies could not confirm causal relationships. More well‐designed prospective studies that use comprehensive caries risk assessment are warranted to determine the level of caries activity and its risk factors in the target population.
5. Conclusion
The principal findings of this study revealed that caregivers’ Cariostat scores were significantly associated with their own caries status, snacking frequency, relationships with preschool children, and the Cariostat scores of preschoolers under their care. Among those factors, the strongest association was observed for children’s Cariostat levels. Specifically, caregivers caring for children with high Cariostat scores were more likely to have high Cariostat scores (adjusted OR = 4.05, 95% CI: 2.09–7.97). The above findings highlight the close association between caregivers’ and children’s oral health conditions and suggest that family‐based oral health promotion strategies may be beneficial in supporting caries prevention among caregivers and children.
Author Contributions
Colin Tsz Wo Lee: investigation, data curation, writing – original draft. Sifan Wang: formal analysis, writing – original draft. Xinyi Zeng: investigation and project administration. Cynthia Kar Yung Yiu: supervision, writing – review and editing. Hai Ming Wong: supervision, writing – review and editing. Ni Zhou: conceptualization, methodology, investigation, funding acquisition, writing – review and editing.
Funding
The study was supported by a Seed Fund from the University Research Committee of HKU and a basic research fund from the Department of Science and Technology of Yunnan Province (Grant 202201AU070140).
Disclosure
All authors have read and approved the final version of the manuscript. Corresponding author (Ni Zhou) had full access to all of the data in this study and takes complete responsibility for the integrity of the data and the accuracy of the data analysis.
Ethics Statement
This study was reviewed and approved by the local Ethics Committee of the Anning Maternity and Child Care Hospital (Ref No. ANFY2024KQ001) and the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (Ref No. UW24‐822). Informed consent forms were signed by the participants prior to the commencement of this study.
Conflicts of Interest
The authors declare no conflicts of interest.
Acknowledgments
The authors would like to extend their gratitude to all participants in this study.
Lee, Colin Tsz Wo , Wang, Sifan , Zeng, Xinyi , Yiu, Cynthia Kar Yung , Wong, Hai Ming , Zhou, Ni , Caries Activity and Its Associated Factors Among Primary Caregivers of Preschool Children, International Journal of Dentistry, 2026, 2925089, 8 pages, 2026. 10.1155/ijod/2925089
Academic Editor: Hannah Wesley
Contributor Information
Ni Zhou, Email: nizhou@hku.hk.
Hannah Wesley, Email: hwesley@wiley.com.
Data Availability Statement
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
References
- 1. Sandhya T., Avinash T., and Satheesan E., Caries Activity Indicators: Guide for Dental Practitioners, International Journal of Oral and Maxillofacial Pathology. (2013) 4, no. 1, 34–42. [Google Scholar]
- 2. Nishimura M., Rodis O. M. M., Kariya N., and Matsumura S., Caries-Risk Assessment in Early Childhood Using a Caries Activity Test, Pediatric Dental Journal. (2011) 21, no. 2, 116–122, 10.1016/S0917-2394(11)70237-3. [DOI] [Google Scholar]
- 3. American Academy of Pediatric Dentistry, Caries-Risk Assessment and Management for Infants, Children, and Adolescents, 2025, American Academy of Pediatric Dentistry, Chicago, IL, 325–331, The Reference Manual of Pediatric Dentistry. [Google Scholar]
- 4. Koroluk L., Hoover J. N., and Komiyama K., The Sensitivity and Specificity of a Colorimetric Microbiological Caries Activity Test (Cariostat) in Preschool Children, Pediatric Dentistry. (1994) 16, no. 4, 276–281. [PubMed] [Google Scholar]
- 5. Wu Y., Li G., Lyu C.-H., Zhou N., and Wong H. M., Oral Microbiota in Preschoolers With Rampant Caries: A Matched Case-Control Study, Applied Microbiology and Biotechnology. (2024) 108, 10.1007/s00253-024-13362-5, 533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Zhang Y., Fang J., and Yang J., et al. Streptococcus mutans-Associated Bacteria in Dental Plaque of Severe Early Childhood Caries, Journal of Oral Microbiology. (2022) 14, no. 1, 10.1080/20002297.2022.2046309, 2046309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Li R.-Y., Yang D.-M., Ding N., and Bao Q.-Y., Analysis of Risk Factors Associated With Early Childhood Caries, Risk Management and Healthcare Policy. (2023) 16, 2369–2378, 10.2147/RMHP.S426712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Zou J., Shang R., and Zhou X.-D., [Transmission Way of Oral Streptococcus mutans in Children], Zhonghua Kou Qiang Yi Xue Za Zhi. (2006) 41, no. 5, 269–271. [PubMed] [Google Scholar]
- 9. Nishimura M., Bhuiyan M. M., Matsumura S., and Shimono T., Assessment of the Caries Activity Test (Cariostat) Based on the Infection Levels of Mutans Streptococci and Lactobacilli in 2- to 13-Year-Old Children’s Dental Plaque, ASDC Journal of Dentistry for Children. (1998) 65, no. 4, 248–251. [PubMed] [Google Scholar]
- 10. Shimono T. and Sobue S., A New Colorimetric Method for Caries Diagnosis, Dent Outlook. (1974) 43, 829–835. [Google Scholar]
- 11. Nishimura M., Oda T., Kariya N., Matsumura S., and Shimono T., Using a Caries Activity Test to Predict Caries Risk in Early Childhood, Journal of the American Dental Association. (2008) 139, no. 1, 63–71, 10.14219/jada.archive.2008.0022. [DOI] [PubMed] [Google Scholar]
- 12. Lee H. S., Lee E. S., and Kang S. M., et al.Clinical Assessment of a New Caries Activity Test Using Dental Plaque Acidogenicity in Children Under 3 Years of Age, Journal of Clinical Pediatric Dentistry. (2016) 40, no. 5, 388–392, 10.17796/1053-4628-40.5.388. [DOI] [PubMed] [Google Scholar]
- 13. Shi S., Zhao Y., Hayashi Y., Yakushiji M., and Machida Y., A Study of the Relationship Between Caries Activity and the Status of Dental Caries: Application of the Dentocult LB Method, Chinese Journal of Dental Research. (1999) 2, no. 1, 34–37. [PubMed] [Google Scholar]
- 14. Shi S., Liang Q., Hayashi Y., Yakushiji M., and Machida Y., The Relationship Between Caries Activity and the Status of Dental Caries--Application of the Dentocult SM Method, Chinese Journal of Dental Research. (1998) 1, no. 3, 52–55. [PubMed] [Google Scholar]
- 15. Shi S., Deng Q., and Hayashi Y., et al.A Follow-up Study on Three Caries Activity Tests, Journal of Clinical Pediatric Dentistry. (2003) 27, no. 4, 359–364, 10.17796/jcpd.27.4.522043767n014735. [DOI] [PubMed] [Google Scholar]
- 16. Lee C. T. W., Zeng X., Yiu C. K. Y., Wong H. M., and Zhou N., Is Caregivers’ Dental Caries Status Associated With Caries in Preschool Children? a Case-Control Study, Journal of Dentistry. (2026) 174, 10.1016/j.jdent.2026.106888, 106888. [DOI] [PubMed] [Google Scholar]
- 17. Vandenbroucke J. P., von Elm E., and Altman D. G., et al.Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration, International Journal of Surgery. (2014) 12, no. 12, 1500–1524, 10.1016/j.ijsu.2014.07.014. [DOI] [PubMed] [Google Scholar]
- 18. World Health Organization, Oral Health Surveys: Basic Methods, 2013, 5th edition, World Health Organization. [Google Scholar]
- 19. Greene J. G. and Vermillion J. R., The Simplified Oral Hygiene Index, The Journal of the American Dental Association. (1964) 68, no. 1, 7–13, 10.14219/jada.archive.1964.0034. [DOI] [PubMed] [Google Scholar]
- 20. Wei S. H. and Lang N. P., “Periodontal epidemiological indices for children and adolescents: II. Evaluation of oral hygiene; III. Clinical applications, Pediatric Dentistry. (1982) 4, no. 1, 64–73. [PubMed] [Google Scholar]
- 21. Lin X., Wang Y., and Ma Z., et al.Correlation Between Caries Activity and Salivary Microbiota in Preschool Children, Frontiers in Cellular and Infection Microbiology. (2023) 13, 10.3389/fcimb.2023.1141474, 1141474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Zeng X. Y., Ding H., and Zhao J. M., et al.Dental Caries Status and Associate Factors Among 3-6-Year-Old Children in Anning City, Yunnan Province, Journal of Kunming Medical University. (2024) 45, 30–37. [Google Scholar]
- 23. Chen J., Chen W., Lin L., Ma H., and Huang F., The Prevalence of Dental Caries and Its Associated Factors Among Preschool Children in Huizhou, China: A Cross-Sectional Study, Frontiers in Oral Health. (2024) 5, 10.3389/froh.2024.1461959, 1461959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Cheng M., Chen Y., and Yu X., et al.Predictive Validity and Cost-Effectiveness Analysis of Two Caries Risk Assessment Tools for Preschool Children, BMC Oral Health. (2025) 25, no. 1, 1337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Dye B. A., Vargas C. M., Lee J. J., Magder L., and Tinanoff N., Assessing the Relationship Between Children’s Oral Health Status and That of Their Mothers, The Journal of the American Dental Association. (2011) 142, no. 2, 173–183, 10.14219/jada.archive.2011.0061. [DOI] [PubMed] [Google Scholar]
- 26. Hooley M., Skouteris H., Boganin C., Satur J., and Kilpatrick N., Parental Influence and the Development of Dental Caries in Children Aged 0-6 Years: A Systematic Review of the Literature, Journal of Dentistry. (2012) 40, no. 11, 873–885, 10.1016/j.jdent.2012.07.013. [DOI] [PubMed] [Google Scholar]
- 27. Damle S. G., Yadav R., and Garg S., et al.Transmission of Mutans Streptococci in Mother-Child Pairs, Indian Journal of Medical Research. (2016) 144, no. 2, 264–270, 10.4103/0971-5916.195042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Castilho G. T., Pessoa M. N., and de Oliveira C. C., et al.Family Factors Associated With Dental Caries Among 5-Year-Old Preschool Children, Frontiers in Dental Medicine. (2025) 5, 10.3389/fdmed.2024.1473194, 1473194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Mazurel D., Brandt B. W., and Boomsma M., et al. Streptococcus mutans and Caries: A Systematic Review and Meta-Analysis, Journal of Dental Research. (2025) 104, no. 6, 594–603, 10.1177/00220345241303880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Guo A., Wide U., Arvidsson L., Eiben G., and Hakeberg M., Dietary Intake and Meal Patterns Among Young Adults With High Caries Activity: A Cross-Sectional Study, BMC Oral Health. (2022) 22, no. 1, 10.1186/s12903-022-02227-w, 190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Ohsuka K., Chino N., and Nakagaki H., et al.Analysis of Risk Factors for Dental Caries in Infants: A Comparison Between Urban and Rural Areas, Environmental Health and Preventive Medicine. (2009) 14, no. 2, 103–110, 10.1007/s12199-008-0065-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Alzahrani A. Y., El Meligy O., and Bahdila D., et al.The Influence of Parental Oral Health Literacy on Children’s Oral Health: A Scoping Review, Journal of Clinical Pediatric Dentistry. (2024) 48, no. 4, 16–25, 10.22514/jocpd.2024.074. [DOI] [PubMed] [Google Scholar]
- 33. Bozorgmehr E., Hajizamani A., and Malek Mohammadi T., Oral Health Behavior of Parents as a Predictor of Oral Health Status of Their Children, ISRN Dentistry. (2013) 2013, 10.1155/2013/741783, 741783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Corchuelo J., Sensitivity and Specificity of an Index of Oral Hygiene Community use in Relation to Three Indexes Commonly Used in Measuring Dental Plaque, Colombia Medica. (2011) 42, no. 4, 448–457, 10.25100/cm.v42i4.945. [DOI] [Google Scholar]
- 35. Feng J., Yu S., and Zhou N., et al.Dental Caries and Extrinsic Black Tooth Stain in Children With Primary, Mixed and Permanent Dentitions: A Cross-Sectional Study, International Journal of Paediatric Dentistry. (2025) 35, no. 4, 725–735, 10.1111/ipd.13284. [DOI] [PubMed] [Google Scholar]
- 36. Zeng X., Wong H. M., Zhou Q., Liu J., Zhou N., and Almeida-da-Silva C., Impact of Fluoride Varnish and Oral Health Education on Caries Increment and Dental Plaque Microbiota Among Children With Early Mixed Dentition: A Three-Armed 24-Month Randomized Controlled Trial, Microbiology Spectrum. (2025) 13, no. 9, 10.1128/spectrum.00902-25, e0090225. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
