Journal of Clinical Pediatric Dentistry. 2026; 50(1): 215-223. doi: 10.22514/jocpd.2026.021
Original Research

Influence of the consumption of sugary drinks and sleep duration on the association of Internet use and dental caries among 12–19 years old adolescents in Xiamen city, China

Mengyang Gao1,†, Jiacheng Lin1,†, Yanfang Jiang2, Guimei Liu1, Yangjingling Hua2, Zhongrui Peng1, Manqi Zhou2, Huarong Hong2,*,, Lei Li1,*,

1State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Department of Preventive Medicine, School of Public Health, Xiamen University, 361102 Xiamen, Fujian, China

2Xiamen Center for Disease Control and Prevention, 361021 Xiamen, Fujian, China

*Corresponding Author(s):li.lei@xmu.edu.cn (Lei Li); honghuar@sina.com (Huarong Hong)

† These authors contributed equally.

History Submitted: 25 November 2024 | Accepted: 21 August 2025 | Published: 03 January 2026
Copyright:  ©2026 The Author(s). Published by MRE Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).

Collapse table of contents

Abstract

Background: This study investigated the prevalence of dental caries among adolescents aged 12–19 years in Xiamen, China and evaluated its association with Internet usage time. The mediation effect of sugary drinks consumption and sleep duration on the association between dental caries and Internet usage time was also examined. Methods: We recruited 11,361 adolescents using multistage stratified random sampling method in Xiamen. Dental caries assessment was conducted by professional dentists under natural light using disposable mouth mirrors and dental probes, following the World Health Organization (WHO) guidelines. Dental caries was evaluated with the sum of decayed, missing, and filled permanent teeth (DMFT) index. The information about demographic characteristics and lifestyle behaviors was collected by self-administered questionnaire. The association between Internet usage time and dental caries was analyzed using binary logistic regression. The mediation effect of sugary drinks consumption and sleep duration on the association was assessed using mediation analysis. Results: The overall prevalence of dental caries among adolescents aged 12–19 years in Xiamen was 56.9%, which varied among sex, age, residence, and body mass index (BMI) (p < 0.001). Longer Internet usage time (adjusted odds ratios (AOR): 1.16; 95% confidence interval (95% CI): 1.02–1.32) was associated with a higher risk of dental caries. Moreover, higher sugary drinks consumption and insufficient sleep increased the risk of dental caries (sugary drinks: AOR: 1.54; 95% CI: 1.28–1.82; sleep duration: AOR: 1.23; 95% CI: 1.10–1.37). The frequency of sugary drinks consumption and sleep duration mediated the association between Internet usage time and dental caries by 13.89% and 5.56%, respectively. Conclusions: Adolescents aged 12–19 years-old in Xiamen had a high prevalence of dental caries, which was significantly associated with Internet usage time. The association between dental caries and Interne usage time was mediated by the frequency of sugary drink consumption and sleep duration.

Keywords:Adolescents;Eating behavior;Sleep duration;Internet use;Dental caries
PDF(1.17 MB)|EndNote (RIS)|BibTeX|RefMan|RefWorks

Cite this article

Mengyang Gao, Jiacheng Lin, Yanfang Jiang, Guimei Liu, Yangjingling Hua, Zhongrui Peng, Manqi Zhou, Huarong Hong, Lei Li. Influence of the consumption of sugary drinks and sleep duration on the association of Internet use and dental caries among 12–19 years old adolescents in Xiamen city, China. Journal of Clinical Pediatric Dentistry. 2026; 50(1): 215-223. doi: 10.22514/jocpd.2026.021

1. Introduction

Dental caries is an outcome of demineralization of dental hard tissues by organic acids produced by the interaction between acid-producing bacteria and fermentable carbohydrates in the oral cavity [1]. Globally, dental caries affects 500 million adolescents’ oral health [2]. The prevalence of dental caries among Chinese adolescents was 41.9% in 2015 [3]. If left untreated early, dental caries can deteriorate and lead to toothache, functional limitations, and tooth loss [4]. It affects the growth and development of adolescents and imposes family economic burden [5, 6].

The occurrence of dental caries is influenced by many factors, such as sociodemographic factors, family’s socioeconomic status, and individual lifestyle [7]. Sadjadpour et al. [8] reported that girls, older adolescents, those living in rural areas, and those with lower body mass index (BMI) had higher prevalence of dental caries. Adolescents from families with low socioeconomic status have poorer oral hygiene habits and an increased risk of dental caries than those from families with higher socioeconomic status [9]. Besides, unhealthy behaviors, such as lower frequency of tooth brushing, higher consumption of sugary drinks, and insufficient sleep, were also found to be associated with a higher prevalence of dental caries Su et al. [10] found the prevalence of dental caries among adolescents who brushed teeth twice a day to be 15.3% lower than that of those who brushed once a day. The prevalence of dental caries of adolescents who consumed two or more sugary drinks per day was 15.3% higher than that of those who never consumed [11]. The incidence of dental caries among adolescents increased by 30% for each additional hour delayed in bedtime [12].

Internet has become a crucial tool for adolescents to obtain information and entertainment in their daily lives. By now, China’s Internet usage rate among adolescents aged 6–18 years was reported to be 95% [13]. When adolescents spend long time on the Internet, they are more likely to have longer sitting time and consume more unhealthy foods and drinks [14]. Gu et al. [15] found that adolescents who spent four hours per day on the Internet were 1.46 times more likely to consume sugary drinks than those who did not use the Internet. Higher consumption of sugary drinks results in increased acid production from fermentation on tooth surface, and significantly increases the risk of dental caries [16]. Moreover, adolescents with excessive Internet use had shorter sleep duration [17]. Inadequate sleep can diminish immune function and reduce salivary flow, and increase the risk of dental caries [18]. A cross-sectional study in Japan indicated that sleep duration was negatively associated with the numbers of caries lesions in preschoolers [19].

As a preventable disease, early identification of risk factors of dental caries and implementation of preventive measures can reduce or even avoid its occurrence. Understanding the prevalence of dental caries and potential influencing factors is beneficial for governments and schools to implement effective prevention strategies and reduce the incidence of dental caries. By now, epidemiological data on the prevalence of dental caries among adolescents in Xiamen were not available. This study aimed to investigate the prevalence of dental caries among adolescents aged 12–19 in Xiamen city and its association with Internet usage time. Excessive use of Internet may increase unhealthy behaviors including high consumption of sugary drinks and insufficient sleep. We hypothesized that sugary drink consumption and sleep duration may mediate the association between Internet usage time and dental caries.

2. Method

2.1 Study design and setting

This study was a cross-sectional investigation of the oral health status of adolescent students in Xiamen from June 2020 to December 2022, which was part of the national monitoring project on common diseases and health influencing factors of students in Xiamen. Ethical approval was obtained from the Ethics Committee of Xiamen Center for Disease Control and Prevention through the quick review process during the COVID-19 pandemic with verbal confirmation prior to data collection. The formal ethical approval (XJK/LLSC2023007) was issued in August 2023. The study was conducted in accordance with the Declaration of Helsinki and reported following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

2.2 Study participants

Participants were recruited using a multistage stratified random sampling based on the population proportion. In urban district, five schools were randomly selected including two junior high schools, two senior high schools, and one vocational senior middle school. In suburban district, three schools were randomly selected including two junior high schools and one senior high school. In each selected school, two classes from each grade were randomly selected using cluster sampling method. All students in the selected classes were included in the study. A minimum of 80 students from each grade were selected for physical examination and questionnaire surveys.

The sample size was calculated based on the prevalence of dental caries among adolescents aged 12–15 years reported by the Fourth National Oral Health survey in China, which was about 41.9% [3]. The permissible relative error of the overall p value was controlled by 10%, design effect (deff) = 4, and α = 0.05. According to the formula of n=deffuα2p(1−p)δ2, the sample size for this study was at least 2131.

2.3 Inclusion and exclusion criteria

Adolescents aged 12 to 19 years, residing in Xiamen city for more than 6 months, were eligible to participate. The age range represents an important period of dental development, including the eruption of permanent teeth and the transition from primary to permanent dentition. Newly erupted permanent teeth have thinner enamel, and hormonal fluctuations during puberty may disrupt the stability of the oral environment, making the teeth more susceptible to plaque accumulation, thereby increasing the risk of permanent dental caries. Furthermore, the independent sense of adolescents gradually increases with age while parental supervision gradually weakens. As a result, they are more likely to consume sugary drinks and go to bed late, both of which contribute to a higher risk of developing dental caries. Individuals with systemic autoimmune diseases or mental disorders were excluded.

In total, 13,345 adolescents were recruited for the study, in which 1718 parents did not agree to participate, and 266 students had incomplete and illogical data. The remaining 11,361 students were included in final analysis, with a response rate of 85.13%. All adolescents participating in the investigation and their parents or guardians were informed of the purpose and procedure of the study and signed informed consent forms.

2.4 Clinical examination of dental caries

The clinical examination of dental caries was conducted by three professional dentists under natural light using disposable intraoral mouth mirrors and dental probes. The dentists cleaned and dried the surface of teeth using a sterile gauze before examination. The points, gaps, pits, grooves, and other areas of the tooth that are prone to caries were examined. Caries status was assessed using the sum of decayed, missing, and filled permanent teeth (DMFT) index according to the World Health Organization’s (WHO) oral health survey guidelines (2013) [20]. The DMFT index higher than zero indicates the presence of caries (coded as 1), whereas a zero score indicates the absence of caries (coded as 0). All the dentists received training to establish standardized criteria for diagnosis before the study. After the examination, we randomly selected 5% of participants for re-examination and calculated the Kappa value to evaluate the agreement of examination results among dentists. The results showed high inter-examiner reliability with a Kappa value of 0.83.

2.5 Anthropometrical measurement

Anthropometric indices, including weight and height, are commonly investigated in oral health studies since it can reflect the nutritional status of participants. Individuals with underweight may experience malnutrition, which could impair salivary gland function, leading to reduced salivary flow and buffering capacity, thereby increasing the risk of dental caries. Therefore, we assessed the height and weight to examine the association between adolescent’s nutritional status and dental caries. Height and weight were assessed by well-trained investigators using standardized techniques and procedures. Adolescents’ height and weight were measured using a digital scale and a stadiometer with error at 0.1 cm and 0.1 kg. Body mass index (BMI) was calculated by dividing body weight in kilograms by height in meters squared. Adolescents were categorized as underweight, normal weight, overweight, or obesity [21, 22].

2.6 Questionnaire survey

A standard questionnaire, designed by the Chinese Center for Disease Control and Prevention, was used to collect information on demographic characteristics and lifestyle habits [23]. Demographic characteristics included age, sex, and residence, while lifestyle factors included dietary habit, tooth brushing habit, sleep duration, and Internet usage time. The question on dietary habit was as follows: “what is the intake frequency of sugary drinks/fried food/vegetable/fruit in the past week?”. Response options included: 1 = “never drink/eat”, 2 = “<1 time/d”, and 3 = “≥1 time/d”. Adolescent’s tooth brushing habit was assessed using the following question: “What is your tooth brushing frequency a day?”, with possible responses including: 1 = “twice a day” and 2 = “less than twice a day”. Internet usage time was obtained through the question: “How many hours per day did you use the Internet on smartphone, computer, and tablet?”, with response options as follows: 1 = “<1 h”, 2 = “1–3 h”, and 3 = “>3 h” [13]. The question of sleep duration was asked as: “How many hours of sleep do you have every night?”. The answers were coded as 1 = “<8 h” and 2 = “≥8 h” [24]. All students completed the questionnaire under the supervision of a research assistant.

2.7 Analytical methodology

Data were analyzed with IBM SPSS Statistics 26.0 (IBM Corp., Armonk, NY, USA). Continuous variables were expressed by mean ± standard deviation (SD) and categorical variables were summarized by numbers and frequencies. Chi-square tests were used to compare differences in the prevalence of caries among adolescents with different characteristics. Non-parametric tests, including Mann-Whitney U or Kruskal-Wallis H test, were used to compare differences in the DMFT index among adolescents with different characteristics. Binary logistic regression was employed to screen factors, and those with a significance level below 0.1 were subsequently included in multivariable logistic regression to further assess the relationships between lifestyle factors and dental caries [25].

The mediation analysis utilized Version 3.3 of the PROCESS macro software on SPSS 26.0 to explore the mediating influence of sugary drink and sleep duration on the association between Internet usage time and dental caries. Mediation occurs when an independent variable (X) influences a dependent variable (Y) through one or more mediators (M). Path a is used to represent the impact of X on M, path b is used to represent the impact of M on Y after controlling for the effect of X, path c’ represents the direct effect of X on Y. The indirect effect of X on Y through M is the product of a and b (i.e., a × b). The total effect is equal to the sum of the indirect and direct effects (i.e., c = a × b + c’ for single mediator model, c = a1 × b1 + a2 × b2 + c’ for two multiple mediator model). The mediated (indirect) effect was analyzed using a non-parametric bootstrapping procedure (n = 5000 samples) that estimated the sampling distribution of the indirect effect and the corresponding bias-corrected and accelerated 95% confidence interval (CI) [26]. When the 95% CI did not contain zero, the indirect effect was considered significant. A p-value less than 0.05 was considered statistically significant.

3. Results

3.1 General characteristics of participants

The adolescents aged from 12 to 19 years, 5804 (51.09%) were boys, and 7801 (68.66%) resided in urban areas. Additionally, 809 (7.1%) adolescents had sugary drinks more than once a day, 9616 (84.6%) adolescents slept less than 8 hours a day, and 1201 (10.6%) spent more than 3 hours a day on Internet.

3.2 Prevalence of dental caries

As shown in Table 1, the overall prevalence of caries was 56.9%, which was higher among girls (63.9%) and increased with age. The overweight and obese adolescents had a lower prevalence (52.7% and 51.5%) than those with normal weight (59.0%). Those living in suburban areas had a higher prevalence (72.8%). Furthermore, adolescents with a higher frequency of sugary drinks consumption, longer Internet usage time and less sleep duration exhibited higher prevalence of dental caries (59.0%, 59.6% and 57.5%, respectively).

Table 1.Descriptive analysis for prevalence of dental caries and characteristics among 12–19 adolescents.
CharacteristicsNumber of participants (N)Prevalence of dental cariesχ2 valuep valueDMFT index (Mean ± SD)Z/Hp value
n%
Total11,361646956.9--1.87 ± 2.29--
Sex
Boy5804292250.3212.84<0.0011.47 ± 2.04−18.88<0.001
Girl5557355163.92.29 ± 2.45
Age (yr)
12–155064274754.227.94<0.0011.62 ± 2.0879.81<0.001
15–173900230059.02.05 ± 2.41
17–192397142659.52.12 ± 2.45
BMI
Underweight159189856.437.96<0.0011.77 ± 2.1840.07<0.001
Normal6926408859.01.97 ± 2.32
Overweight174692152.71.72 ± 2.23
Obese109856651.51.65 ± 2.21
Residence
Urban7801388349.8526.47<0.0011.46 ± 2.01−28.31<0.001
Suburban3560259072.82.79 ± 2.57
Sugary drinks
Never2327125353.812.200.0021.78 ± 2.3011.240.004
<1 time/d8225474357.71.89 ± 2.27
≥1 time/d80947759.01.98 ± 2.35
Fried food
Never168293455.53.580.1671.81 ± 2.284.760.093
<1 time/d9008513857.01.88 ± 2.28
≥1 time/d67140159.82.02 ± 2.36
Vegetables
Never18511562.26.300.0432.39 ± 2.5813.910.001
<1 time/d98058860.02.06 ± 2.38
≥1 time/d10,196577056.61.85 ± 2.27
Fruit
Never39623158.31.110.5732.05 ± 2.408.030.018
<1 time/d3689212257.51.97 ± 2.37
≥1 time/d7276412056.61.81 ± 2.23
Tooth brushing
≤2 times/d2766150754.59.270.0021.72 ± 2.19−3.92<0.001
>2 times/d8595496657.81.92 ± 2.31
Internet usage time
<1 h6851381055.613.300.0011.79 ± 2.2424.11<0.001
1–3 h3309194758.81.99 ± 2.33
>3 h120171659.62.05 ± 2.37
Sleep duration
≥8 h174594153.97.820.0051.67 ± 2.15−3.716<0.001
<8 h9616553257.51.91 ± 2.30

DMFT: decayed, missing, and filled permanent teeth; SD: standard deviation; BMI: body mass index.

3.3 Multivariable logistic regression for dental caries

As shown in Table 2, sex, age, residence, BMI, frequency of sugary drinks, sleep duration, and Internet usage time were all correlated with the occurrence of dental caries. On multivariable logistic regression analysis, the risk of dental caries of girls was 1.70 times (95% CI: 1.57–1.84) as much as boys. The adjusted odds ratios (AOR) of dental caries increased with age. The risk of adolescents from suburban areas was 2.94 times (95% CI: 2.69–3.21) as much as the risk of those from urban areas. The overweight (AOR: 0.82; 95% CI: 0.73–0.91) and obese (AOR: 0.80; 95% CI: 0.70–0.92) adolescents were less likely to suffer from dental caries. Adolescents who consumed sugary drinks more than once a day were 1.54 times (95% CI: 1.28–1.82) more likely to have dental caries than those who never consumed. Those who used the Internet for 3 hours or more per day had 1.16 times (95% CI: 1.02–1.32) more risk of dental caries than those who used 1 hour or less. Additionally, adolescents with less than 8 hours sleep duration had a higher risk of dental caries than those with more than 8 hours of sleep (AOR: 1.23; 95% CI: 1.10–1.37).

Table 2.Multiple-factor binary logistic regression analyses of factors associated with dental caries (DMFT >0) for individuals aged 12–19 in Xiamen city.
VariableOR95% CIp valueAdjusted OR95% CIp value
Sex (Ref: boy)
Girl1.751.62–1.89<0.0011.701.57–1.84<0.001
Age (yr) (Ref: 12–15)
15–171.211.11–1.32<0.0011.441.31–1.57<0.001
17–191.241.12–1.37<0.0011.511.37–1.68<0.001
BMI (Ref: normal)
Underweight0.900.81–1.000.0601.010.90–1.130.898
Overweight0.780.70–0.86<0.0010.820.73–0.91<0.001
Obese0.740.65–0.84<0.0010.800.70–0.92<0.001
Residence (Ref: urban)
Suburban2.692.47–2.94<0.0012.942.69–3.21<0.001
Sugary drinks (Ref: never)
<1 time/d1.171.06–1.280.0011.241.13–1.35<0.001
≥1 time/d1.231.04–1.450.0121.541.28–1.82<0.001
Tooth brushing (Ref: ≤2 times/d)
2 times/d1.141.05–1.250.0021.030.94–1.130.490
Internet usage time (Ref: <1 h)
1–3 h1.141.05–1.240.0021.070.98–1.170.110
>3 h1.181.04–1.340.0101.161.02–1.320.029
Sleep duration (Ref: ≥8 h)
<8 h1.161.05–1.280.0051.231.10–1.37<0.001

OR: odds ratio; CI: confidence interval; BMI: body mass index.

3.4 Mediation analyses

Table 3 presents the results of single mediator analyses on the association between dental caries and Internet usage time. There was a significant total effect (path c) of Internet usage time on dental caries. Adolescents with high Internet usage time were more likely to have dental caries (β: 0.038; 95% CI: 0.028–0.080). Internet usage time had a significant effect on sugary drinks and sleep duration (path a). Internet usage time was positively associated with sugary drinks (β: 0.042; 95% CI: 0.035–0.048) and negatively associated with sleep duration (β: −0.012; 95% CI: −0.019–−0.005). Path b showed the association between potential mediator and dental caries adjusted for Internet usage time. Sugary drinks had a positive effect on dental caries (β: 0.129; 95% CI: 0.047–0.211). Sleep duration had a negative effect on dental caries (β: −0.212; 95% CI: −0.284–−0.140). Both of sugary drinks (β: 0.005; 95% CI: 0.002–0.009) and sleep duration (β: 0.003; 95% CI: 0.001–0.004) showed an indirect effect. The direct effect was also significant (sugary drinks: β: 0.036; 95% CI: 0.010–0.064; sleep duration: β: 0.041; 95% CI: 0.014–0.067). Therefore, the frequency of sugary drinks and sleep duration could be identified as partial mediators between Internet usage time and dental caries. The frequency of sugary drinks mediated 13.89% and sleep duration mediated 5.56% of the association between Internet usage time and dental caries (Fig. 1).

Table 3.The single mediating effect of sugary drinks and sleep duration on the association between Internet usage time and dental caries.
Sugary drinksSleep duration
β95% CIp valueβ95% CIp value
Total effect (path c, XY)0.038(0.028, 0.080)<0.0010.038(0.028, 0.080)<0.001
Income effect on mediator (path a, XM)0.042(0.035, 0.048)<0.001−0.012(−0.019, −0.005)0.001
Mediator effect on Dental Caries (path b, MY)0.129(0.047, 0.211)0.002−0.212(−0.284, −0.140)<0.001
Direct effect (path c’-XYadjM)0.036(0.010, 0.064)0.0060.041(0.014, 0.067)0.002
Indirect effect (a × b-XMY)0.005(0.002, 0.009)0.0020.003(0.001, 0.004)0.004

CI: confidence interval.

The mediating effect of sugary drinks and sleep duration on the 
association between Internet usage time and dental caries (Multiple mediator 
model). **p &lt; 0.01, ***p &lt; 0.001.

Fig. 1.The mediating effect of sugary drinks and sleep duration on the association between Internet usage time and dental caries (Multiple mediator model). **p < 0.01, ***p < 0.001.

4. Discussion

The present study investigated the prevalence of dental caries and its association with Internet usage time among adolescents aged 12–19 years in Xiamen. The prevalence of dental caries among adolescents in Xiamen was 56.9%, which was higher than Zhejiang (44%) [27] and lower than the prevalence reported in Kunming (73%) [28]. The variation in age ranges may contribute to the difference in the prevalence reported in different studies. The age range of adolescents in our study was from 12 to 19 years. The study conducted in Zhejiang mainly focused on the adolescents aged 12 to 14 years, an age group with a lower prevalence of dental caries, while the Kunming study focused on adolescents aged from 17 to 19 years, an age group with a higher prevalence of dental caries. As indicated above, the prevalence of dental caries increased with age [29]. It is not difficult to explain that the prevalence of dental caries in our study was between those studies.

We found that dental caries was associated with sex, age, residence area, BMI, frequency of sugary drinks, sleep duration and Internet usage time. Girls had a higher risk of dental caries than boys, which was similar to the results of Wen’s study [30]. The physiological maturation of girls is generally earlier than boys, as they have earlier eruption of permanent teeth with longer exposure to oral environment, which increases the risk of dental caries [31]. This can also explain why the prevalence of dental caries increases with age, as older adolescents experience a longer time of exposure to cariogenic factors, which increases the risk of dental caries over time. Adolescents living in the suburban area had a higher prevalence than those living in the urban area. Lower oral health awareness and limited access to dental healthcare services may contribute to their higher risk of dental caries [32]. In addition, our results indicated that overweight and obese adolescents were less likely to have dental caries. Similar results have been reported in Shi’s study [33]. Overweight and obese adolescents may come from economically affluent families, where parents may pay more attention to children’s oral health and could provide more access to dental services. In addition, saliva production of overweight and obese adolescents might increase with the increase of food consumption. The saliva as a mechanical cleanser and pH buffer can reduce the retention of sugars and dental plaque, providing protection to the teeth [34].

Our results indicated that adolescents consuming more sugary drinks had a higher risk of dental caries, similarly reported by Ha et al. [35]. Excessive consumption of sugary drinks increases the amount of fermentable carbohydrates in the oral cavity. These carbohydrates are converted into organic acids by bacteria, which decreases the oral pH and disrupts the balance of the bacterial flora in the mouth, thereby increasing the risk of tooth caries. Jocelyn et al. [36] found that if adolescents consume an extra cup of sugary drinks a day, their prevalence of dental caries increased by 22%.

We also found that adolescents with insufficient sleep were more likely to have dental caries, which was supported by Asaka et al. [37]. They found that adolescents who slept less than 8 hours were 1.49 times more likely to develop dental caries than those who slept more than 9 hours. Insufficient sleep leads to hormonal disorder, resulting in reduced leptin levels and increased ghrelin levels, which may drive adolescents to preferentially choose high-carbohydrate food and increase the risk of dental caries [38]. In addition, reduced sleep duration is associated with decreased salivary flow and reduced salivary immunoglobulin A (S-IgA) secretion [39]. The reduction of saliva flow and S-IgA can weaken the capabilities of oral cleaning and buffering, and the abilities of preventing bacterial infections, thereby increasing the risk of dental caries [40].

Our result showed that adolescents with longer Internet usage time had higher odds ratio of dental caries. The association remained significantly positive even after adjusting for demographics. We also found that frequency of sugary drinks intake worked as a mediator in the association between dental caries and Internet usage time. When adolescents dedicate substantial time and energy online, they were more likely to consume sugary drinks. Dohyun et al. [41] found the consumption of sugary drinks among adolescents who used the Internet for 1 hour or more was 1 time higher than that of those who used the Internet for less than 1 hour. A cross-sectional study among adolescents showed that daily sugar intake from sugary drinks increased by 1.99 grams for each extra hour of online games [42]. Frequent and prolonged exposure to sugary drinks generates an acidic plaque environment on the tooth surface, promoting the demineralization of dental enamel, subsequently causing caries.

Our results indicated that sleep duration played a mediating role in the association between Internet usage time and dental caries. Adolescents spending more time on the Internet tend to have late bedtimes and sleep for fewer hours. The risk of insufficient sleep among adolescents who used Internet for online gaming and social media was 1.16 times higher than that of those who never use [43]. The blue light from electronic screens at night may suppress melatonin secretion and disrupts the circadian rhythm, thereby affecting sleep quality [44]. Li et al. [45] found that excessive use of electronic devices before bedtime was significantly associated with insomnia and insufficient sleep. Insufficient sleep may cause significant changes in salivary function and immunity and then affect the dental health. Therefore, it is not difficult to understand why sleep duration worked as a mediator between Internet usage time and dental caries. Masanori et al. [46] had a similar finding as teenagers with Internet addiction had higher DMFT index than those without Internet addiction. Short sleep duration and frequent consumption of sugary drinks and snacks mediated the association between Internet addiction and dental caries.

There are several limitations of this study. Firstly, this study was an observational cross-sectional study, the causal relationships between Internet usage time and dental caries could not be confirmed. Secondly, the questionnaire used in this study relies on self-reports, which might risk recall bias and affect the accuracy of the results. In addition, the occurrence of dental caries is a result of the interaction of many factors. Although we found a significant association between Internet usage time and dental caries, this result should be interpreted with caution. As this study was part of the National Common Disease and Health Influencing Factors Monitoring Project, it was difficult for us to include too many questions in a questionnaire. So, some other influencing factors such as parent’s socioeconomic status, the use of fluoride toothpaste, salivary function, accessibility of dental services, and different purposes of Internet use were not collected in the survey. These unmeasured factors may influence the observed results. Future studies should incorporate these factors to investigate their impact on dental caries.

5. Conclusions

Our study supported the hypothesis that Internet usage time was significantly associated with the prevalence of dental caries. Sugary drink consumption and sleep duration mediated the association between Internet usage time and dental caries. Adolescence is a critical period for oral development and the establishment of healthy habits. Parents and schools should collaborate to educate adolescents about the negative effects of excessive Internet use on oral health, guide adolescents to use the Internet in moderation, reduce sugary drink consumption, and ensure adequate sleep, thereby reducing the burden of dental caries and improving oral health among adolescents.

Availability of data and materials

The data and materials may be available upon reasonable request from the corresponding author.

Author contributions

MYG and JCL—contributed to study design, data acquisition, analysis and interpretation, drafted the manuscript. YFJ and GML—contributed to data acquisition and analysis, critically revised the manuscript. YJLH, ZRP and MQZ—contributed to survey study and data acquisition, critically revised the manuscript. HRH and LL—contributed to conception, design of the study, critically revised the manuscript. All authors gave final approval and agree to be accountable for all aspects of the work.

Ethics approval and consent to participate

The study was obtained the Ethics Committee of Xiamen Center for Disease Control and Prevention through the quick review process during the COVID-19 pandemic with verbal confirmation prior to data collection. The formal ethical approval (XJK/LLSC2023007) was issued on August 2023. The adolescents participating in the investigation and their parents or guardians were informed of the purpose and procedure of the study, and their informed consent was obtained.

Acknowledgment

The authors thank all the subjects participating in the study. We are grateful for the support and dedicated work in the data collection of all the investigators from all the districts of Xiamen City.

Funding

This research was funded by the National Funds for Prevention and Control of Major Infectious Diseases, China, grant number: 10000019Z195110010004.

Conflict of interest

The authors declare no conflict of interest.

References

Meyer F, Zur Wiesche ES, Amaechi BT, Limeback H, Enax J. Caries etiology and preventive measures. European Journal of Dentistry. 2024; 18: 766–776.

[Google Scholar]

Wen PYF, Chen MX, Zhong YJ, Dong QQ, Wong HM. Global burden and inequality of dental caries, 1990 to 2019. Journal of Dental Research. 2022; 101: 392–399.

[Google Scholar]

Quan JK, Wang XZ, Sun XY, Yuan C, Liu XN, Wang X, et al. Permanent teeth caries status of 12- to 15-year-olds in China: findings from the 4th National Oral Health Survey. Chinese Journal of Dental Research. 2018; 21: 181–193.

[Google Scholar]

Delgado-Pérez VJ, Patiño-Marín N, Rueda-Ibarra V, Márquez-Rodríguez S, Casanova-Rosado AJ, Casanova-Rosado JF, et al. Epidemiological and oral public health aspects of dental pain: a narrative review. Cureus. 2024; 16: e74908.

[Google Scholar]

Singh S, Talmale P. Impact of dental caries and nutritional status on oral health related quality of life in young Indian adolescents. Journal of Oral Biology and Craniofacial Research. 2023; 13: 506–510.

[Google Scholar]

Yirsaw AN, Bogale EK, Tefera M, Belay MA, Alemu AT, Bogale SK, et al. Prevalence of dental caries and associated factors among primary school children in Ethiopia: systematic review and meta-analysis. BMC Oral Health. 2024; 24: 774.

[Google Scholar]

Yousaf M, Aslam T, Saeed S, Sarfraz A, Sarfraz Z, Cherrez-Ojeda I. Individual, family, and socioeconomic contributors to dental caries in children from low- and middle-income countries. International Journal of Environmental Research and Public Health. 2022; 19: 7114.

[Google Scholar]

Sadjadpour F, Hosseinichimeh N, Pahel BT, Metcalf SS. Systems mapping of multilevel factors contributing to dental caries in adolescents. Frontiers in Oral Health. 2023; 4: 1285347.

[Google Scholar]

Almajed OS, Aljouie AA, Alharbi MS, Alsulaimi LM. The impact of socioeconomic factors on pediatric oral health: a review. Cureus. 2024; 16: e53567.

[Google Scholar]

Su S, Zhang J, Deng R, Wang W, Cui T, Su Y, et al. Oral health status and associated factors among 12 to 15-year-old Chinese adolescents in Southeast China: a cross-sectional study. Medicine. 2024; 103: e37080.

[Google Scholar]

Skinner J, Byun R, Blinkhorn A, Johnson G. Sugary drink consumption and dental caries in New South Wales teenagers. Australian Dental Journal. 2015; 60: 169–175.

[Google Scholar]

Alqaderi H, Tavares M, Al-Mulla F, Al-Ozairi E, Goodson JM. Late bedtime and dental caries incidence in Kuwaiti children: a longitudinal multilevel analysis. Community Dentistry and Oral Epidemiology. 2020; 48: 181–187.

[Google Scholar]

Li J, Wu Y, Hesketh T. Internet use and cyberbullying: impacts on psychosocial and psychosomatic wellbeing among Chinese adolescents. Computers in Human Behavior. 2023; 138: 107461.

[Google Scholar]

Trott M, Driscoll R, Iraldo E, Pardhan S. Changes and correlates of screen time in adults and children during the COVID-19 pandemic: a systematic review and meta-analysis. eClinicalMedicine. 2022; 48: 101452.

[Google Scholar]

Gu HM, Park J, Ryu SY. Health behavior factors associated with sugar-sweetened beverage intake among adolescents. Korean Journal of Community Nutrition. 2018; 23: 193–201.

[Google Scholar]

Yang Q, Xi Y, Liu H, Luo J, Ouyang Y, Sun M, et al. Free sugars intake among chinese adolescents and its association with dental caries: a cross-sectional study. Nutrients. 2021; 13: 765.

[Google Scholar]

Karki K, Singh DR, Maharjan D, K C S, Shrestha S, Thapa DK. Internet addiction and sleep quality among adolescents in a periurban setting in Nepal: a cross-sectional school-based survey. PLOS ONE. 2021; 16: e0246940.

[Google Scholar]

Kurtović A, Talapko J, Bekić S, Škrlec I. The relationship between sleep, chronotype, and dental caries—a narrative review. Clocks & Sleep. 2023; 5: 295–312.

[Google Scholar]

Ogawa M, Ogi H, Nakamura D, Nakamura T, Izawa KP. Association between insufficient sleep and dental caries among preschoolers in Japan: a cross-sectional multicentre study. European Journal of Investigation in Health, Psychology and Education. 2021; 12: 1–10.

[Google Scholar]

World Health Organization. Oral health surveys: basic methods. 5th edn. World Health Organization: Geneva. 2013.

[Google Scholar]

National Health and Family Planning Commission of the People’s Republic of China. Screeningstandard for malnutrition of school-age children and adolescents. 2014. Available at: https://hbba.sacinfo.org.cn/attachment/onlineRead/8dfa4f569546fee01d6148f9b3cb86d0 (Accessed: 12 June 2024).

[Google Scholar]

National Health and Family Planning Commission of the People’s Republic of China. Screening for overweight and obesity among school-age children and adolescents. 2018. Available at: https://hbba.sacinfo.org.cn/attachment/onlineRead/a5078dab6fbfd5b6495cdcce69424bbdd128f380aa93c7dbe5c58c67d9d2075e (Accessed: 12 June 2024).

[Google Scholar]

Guo P, Zou C, An N, Huang J, Yang J, Lu Q. Emotional symptoms, dietary patterns and dental caries: a cross-sectional study in adolescents. Oral Diseases. 2024; 30: 2653–2662.

[Google Scholar]

Li Y, Zhao S, Li W, Liu H. Relationship between chinese adolescents’ sleep status and problem behaviors: the mediating role of mental health. Frontiers in Psychology. 2021; 12: 689201.

[Google Scholar]

Zhu J, Zhao R, Yu Z, Li L, Wei J, Guan Y. Machine learning-based prediction model for hypofibrinogenemia after tigecycline therapy. BMC Medical Informatics and Decision Making. 2024; 24: 284.

[Google Scholar]

Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods. 2008; 40: 879–891.

[Google Scholar]

Hu J, Jiang W, Lin X, Zhu H, Zhou N, Chen Y, et al. Dental caries status and caries risk factors in students ages 12–14 years in Zhejiang, China. Medical Science Monitor. 2018; 24: 3670–3678.

[Google Scholar]

Xu J, Naorungroj S, Pahumunto N, Teanpaisan R. Prevalence and associated factors of caries and periodontal diseases among adolescents in Kunming: a cross-sectional study. Journal of Health Science and Medical Research. 2023; 41: e202903.

[Google Scholar]

Ancillotti LHDSF, Abreu MHNG, Marinho AMCL, Santos MPAD. Validating evidence for the knowledge, management and involvement of dentists in a dental approach to sickle-cell disease. Brazilian Oral Research. 2024; 38: e026.

[Google Scholar]

Wen Y, Liu Y, Ning N, Xu H, Zhang J, Zhao H, et al. Prevalence of dental caries and influence factors among students in Beijing: a cross-sectional study. PLOS ONE. 2025; 20: e0322694.

[Google Scholar]

Pan Y, Ma Y, Gui Z, Jin Y, Pan J, Yang C, et al. Dental caries, gingivitis and oral health-related quality of life in 12-year-old children. BMC Oral Health. 2025; 25: 751.

[Google Scholar]

He J, Yuan B, Zhou S, Peng S, Xu Y, Cai H, et al. Socio-demographic factors, dental status, oral health knowledge and attitude, and health-related behaviors in dental visits among 12-year-old Shenzhen adolescents: a multilevel analysis. BMC Oral Health. 2022; 22: 102.

[Google Scholar]

Shi R, Lin C, Li S, Deng L, Lin Z, Xiu L. Obesity is negatively associated with dental caries among children and adolescents in Huizhou: a cross-sectional study. BMC Oral Health. 2022; 22: 76.

[Google Scholar]

Heller D, Nery GB, Bachi ALL, Al-Hashimi I. Positive role of saliva in the oral microbiome. Advances in Experimental Medicine and Biology. 2025; 1472: 103–118.

[Google Scholar]

Ha D, Arora A, Harford J, Luzzi L, Chrisopoulos S, Do LG. Population impact of sugar-sweetened beverages on dental caries and overweight/obesity in Australian children. JDR Clinical & Translational Research. 2023; 8: 224–233.

[Google Scholar]

Wilder JR, Kaste LM, Handler A, Chapple-McGruder T, Rankin KM. The association between sugar-sweetened beverages and dental caries among third-grade students in Georgia. Journal of Public Health Dentistry. 2016; 76: 76–84.

[Google Scholar]

Asaka Y, Sekine M, Yamada M, Tatsuse T, Sano M. Association of short sleep duration and long media use with caries in school children. Pediatrics International. 2020; 62: 214–220.

[Google Scholar]

Chaput J-P, McHill AW, Cox RC, Broussard JL, Dutil C, da Costa BGG, et al. The role of insufficient sleep and circadian misalignment in obesity. Nature Reviews Endocrinology. 2023; 19: 82–97.

[Google Scholar]

Lasisi DTJ, Shittu ST, Meludu CC, Salami AA. Differential effects of total and partial sleep deprivation on salivary factors in Wistar rats. Archives of Oral Biology. 2017; 73: 100–104.

[Google Scholar]

Wu Z, Gong Y, Wang C, Lin J, Zhao J. Association between salivary s-IgA concentration and dental caries: a systematic review and meta-analysis. Bioscience Reports. 2020; 40: BSR20203208.

[Google Scholar]

Byun D, Kim R, Oh H. Leisure-time and study-time Internet use and dietary risk factors in Korean adolescents. The American Journal of Clinical Nutrition. 2021; 114: 1791–1801.

[Google Scholar]

Bradbury KM, Turel O, Morrison KM. Electronic device use and beverage related sugar and caffeine intake in US adolescents. PLOS ONE. 2019; 14: e0223912.

[Google Scholar]

Otsuka Y, Kaneita Y, Itani O, Matsumoto Y, Jike M, Higuchi S, et al. The association between Internet usage and sleep problems among Japanese adolescents: three repeated cross-sectional studies. Sleep. 2021; 44: zsab175.

[Google Scholar]

Haghani M, Abbasi S, Abdoli L, Shams SF, Baha’addini Baigy Zarandi BF, Shokrpour N, et al. Blue light and digital screens revisited: a new look at blue light from the vision quality, circadian rhythm and cognitive functions perspective. Journal of Biomedical Physics and Engineering. 2024; 14: 213–228.

[Google Scholar]

Li TMH, Chan NY, Li CT, Chen J, Chan JWY, Liu Y, et al. The associations of electronic media use with sleep and circadian problems, social, emotional and behavioral difficulties in adolescents. Frontiers in Psychiatry. 2022; 13: 892583.

[Google Scholar]

Iwasaki M, Kakuta S, Ansai T. Associations among internet addiction, lifestyle behaviors, and dental caries among high school students in Southwest Japan. Scientific Reports. 2022; 12: 17342.

[Google Scholar]