1. Introduction
Dental caries remains one of the most prevalent chronic diseases affecting children worldwide, posing a significant public health challenge despite advances in preventive dentistry. According to the Global Burden of Disease Study (2021), the incidence and prevalence of caries in primary teeth continue to affect millions of children globally, impacting their quality of life and development [
1]. The etiology of caries is multifactorial, strongly driven by dietary habits, specifically the frequent consumption of fermentable carbohydrates and free sugars which provide the substrate for cariogenic bacteria [
2].
In recent years, the lifestyle of children has shifted dramatically towards sedentary behaviors, characterized by increased screen time. Recent evidence suggests that sedentary behavior and unhealthy dietary habits are key drivers of untreated dental caries among adolescents [
3]. This association is further complicated by the digital environment; specifically, the rise of social media platforms (e.g., YouTube, TikTok) and “Kid Influencers.” Research indicates that social media influencers significantly impact children’s dietary behaviors by promoting unhealthy food products [
4].
A study analyzing YouTube videos for kids revealed that over 90% of food and drink product placements were for unhealthy, branded items, often presented by “kid influencers” who blur the line between entertainment and advertising [
5]. These digital marketing cues are designed to trigger cravings and purchase requests, creating a direct pathway to increased sugar consumption [
6]. Furthermore, excessive screen time has been positively associated with poor oral health indicators, potentially due to distracted eating (snacking while watching) and the neglect of oral hygiene practices such as regular brushing [
7]
.
Despite the growing body of literature linking screen time to obesity, few studies have specifically investigated the direct correlation between social media exposure duration, the nature of consumed content, and clinical dental caries indices (dmft/DMFT) in our region. Therefore, this study aims to assess the influence of social media usage on dietary habits and dental caries prevalence among a sample of pediatric patients.
4. Discussion
The findings of this study provide a critical assessment of the impact of social media and screen time exposure on the oral health of children in Jordan. The observed mean
dmft score of 3.75 (± 2.38) and
DMFT score of 0.85 (± 1.35) signify a substantial caries burden among the participants. These results are highly consistent with local epidemiological data from Jordan; specifically, a study conducted in the Mafraq governorate reported dmft ranges between 2.3 and 4.4 for children in the same age group (6–12 years). Our mean score of 3.75 falls directly within this regional baseline, confirming that dental decay remains a persistent public health challenge in the Jordanian population [
12].
The most significant finding in our study is the strong dose-response relationship between daily screen time and caries severity. Children in the high-exposure group (> 3 hours) exhibited a mean dmft of
5.24, which is nearly three times higher than those in the low-exposure group (
1.93). This correlation is supported by the latest research, which identifies “Problematic Screen Exposure” as a primary risk factor for increased caries severity and the development of cavitated lesions in primary molars. The evidence suggests that as digital immersion increases, the clinical severity of dental decay escalates proportionally [
8,
9].
A key behavioral mechanism explaining this association is the alteration of dietary patterns. Our data showed that
81.2% of children with high screen time “always” snack while watching. This “distracted eating” leads to prolonged exposure to fermentable carbohydrates. Recent evidence has demonstrated that children with high screen use consume a significant portion of their meals in front of digital devices, which is directly linked to an increased number of cavitated carious lesions and an overall higher caries prevalence [
9].
The impact of digital marketing on children’s requests for sugary foods (Pester Power) was also evident, with
89.4% of high-screen users requesting food items seen in advertisements. This aligns with comparative evaluations showing that advertisements for cariogenic products significantly influence children’s preferences and purchase requests, thereby creating a direct pathway to higher caries prevalence [
10].
Furthermore, excessive screen time appears to displace essential oral hygiene routines. An alarming
91.8% of children in the high-exposure group reported that screen time interferes with their regular tooth brushing, leading to the
77.7% poor oral hygiene status observed. While digital platforms are being explored as tools for health education to improve knowledge and oral hygiene indicators, our findings suggest that recreational and unmediated social media use currently serves as a significant barrier to maintaining adequate oral hygiene practices [
11].
Beyond the clinical severity, the socio-demographic context in Jordan provides further insight into these findings. Our recorded dmft value of
3.75 is consistent with earlier reports from Amman, which indicated dmft values of 3.1 and 4.1 for children in similar age groups, suggesting that caries levels have remained high over the past decades despite dental advancements [
13]. Furthermore, the high prevalence of decay observed in our sample may be influenced by maternal and socioeconomic factors, as previous Jordanian research has highlighted the significant role of a mother’s characteristics and socioeconomic status as primary risk factors for childhood caries [
14]. This is compounded by a lack of parental awareness regarding pediatric oral health; recent data from Jordan shows that the majority of parents exhibit inadequate practices toward their children’s oral hygiene, which directly correlates with the poor clinical outcomes observed in our high screen-time group [
15].
On a broader scale, our findings reflect a regional crisis in the Eastern Mediterranean Region (EMR). A meta-analysis of data from nine countries in this region indicates a high and varied prevalence of dental caries, confirming that our results are part of a wider public health challenge affecting children across the region [
16]. A primary driver of this trend in the digital age is the “#junkfluenced” effect. We found that TikTok and YouTube were among the most used platforms by children in our study. Research has shown that social media influencers popular with children frequently market unhealthy food and beverages, significantly impacting children’s dietary preferences and sugar consumption patterns [
17].
The biological impact of this digital immersion cannot be overlooked. Our data identified screen time as a predictor for oral health status, a finding supported by recent studies indicating a strong relationship between recreational screen time and the consumption of cariogenic foods, such as sweets and soft drinks [
18]. Furthermore, chronic exposure to sugary snacks during screen time may alter the oral environment; clinical comparisons between children with caries and those who are caries-free have shown significant differences in salivary flow rate, pH, and buffering capacity, factors that are likely compromised by the frequent snacking behavior noted in our sample [
19]. Finally, the self-reported neglect of oral hygiene behavior in our study, where screen time interfered with brushing, highlights the gap between oral hygiene education and actual self-reported behavior, necessitating more effective intervention strategies to bridge this divide [
20].
The alarming prevalence of excessive screen time observed in our study, where
42.5% of children exceeded three hours daily, stands in sharp contrast to the global standards set by the World Health Organization (WHO). The WHO guidelines on physical activity and sedentary behavior explicitly recommend limiting recreational screen time to a maximum of 60 minutes for young children to mitigate health risks. The deviation observed in our Jordanian sample suggests a widespread non-adherence to these guidelines, likely exacerbated by the lingering behavioral shifts post-COVID-19 [
21]. Longitudinal evidence has shown that the pandemic-induced lockdowns created an “obesogenic” and “cariogenic” environment, characterized by increased digital consumption and disrupted routines. This shift has been epidemiologically linked to a marked increase in dental caries incidence in post-pandemic cohorts compared to pre-pandemic baselines, as screen time replaced physical activity and structured mealtimes [
22].
Beyond clinical morbidity, the high caries experience recorded in our study (mean dmft
3.75) carries profound implications for the Oral Health-Related Quality of Life (OHRQoL) of the affected children. Our results resonate with local findings by Rajab and Abdullah in Amman, who demonstrated that Early Childhood Caries (ECC) significantly impairs the quality of life for Jordanian preschoolers and their families, affecting domains such as pain, psychological discomfort, and family function [
27]. This relationship is multidimensional; a systematic review of OHRQoL instruments confirms that untreated oral conditions in children lead to functional limitations and psychosocial impacts that extend into adolescence [
24]. Furthermore, recent research has established a direct negative correlation between sedentary behavior—specifically high screen time—and OHRQoL scores, suggesting that the “screen-sedentary-diet” triad works synergistically to degrade the child’s overall well-being [
28].
Elucidating the causal pathway, our study supports the “Common Risk Factor Approach.” The biological link between screen time and caries is mediated primarily by dietary choices. Advanced mediation analysis has identified Free Sugar Intake (FSI) as the single most significant mediator reducing the gap between socioeconomic status and caries experience [
25]. This is corroborated by our finding that screen time acts as a potent predictor for sugar consumption; children in our study with higher screen exposure were more prone to snacking, a behavior pattern confirmed by Simon et al. (2024), who found a statistically significant linear relationship between recreational screen duration and the intake of cariogenic sweets and carbonated beverages [
18]. This behavior mirrors the ecological associations found between obesity and dental caries, suggesting that both conditions share the same “digital” etiology [
26].
Paradoxically, the digital environment offers a dual nature. While our results highlight the detrimental effects of unmediated social media use, systematic reviews indicate that Online Social Networks (OSNs) and mobile applications, when designed correctly, can be effective tools for oral health promotion. Interventions utilizing platforms like WhatsApp or educational apps have shown success in reducing gingival indices and improving health literacy among adolescents [
23]. However, to reverse the current negative trends, intervention strategies must be robust. Meta-analyses of screen-time reduction interventions suggest that success relies on specific behavior change techniques, particularly “goal setting” and “social support” from parents, rather than passive education alone [30].
Table 1.
Demographic Characteristics of Participants.
Table 1.
Demographic Characteristics of Participants.
| Variable |
Category |
Frequency (n) |
Percentage (%) |
| Gender |
Male |
113 |
56.2% |
| |
Female |
88 |
43.8% |
| Age Group |
6 – 8 Years |
111 |
55.0% |
| |
9 – 10 Years |
38 |
18.8% |
| |
11 – 12 Years |
40 |
19.8% |
| |
Other |
13 |
6.4% |
| Total |
|
201 |
100.0% |
Table 2.
Screen Time and Digital Habits.
Table 2.
Screen Time and Digital Habits.
| Variable |
Category |
Frequency (n) |
Percentage (%) |
| Daily Screen Time |
Low (< 1 hour) |
59 |
29.5% |
| |
Medium (1 – 3 hours) |
56 |
28.0% |
| |
High (> 3 hours) |
85 |
42.5% |
| Snacking while Watching |
Always |
96 |
48.0% |
| |
Sometimes |
64 |
32.0% |
| |
Never |
40 |
20.0% |
| Requesting Food from Ads |
Yes |
130 |
65.3% |
| |
No |
69 |
34.7% |
| Interferes with Brushing |
Yes |
130 |
64.7% |
| |
No |
71 |
35.3% |
Table 3.
Clinical Status (Oral Health Indices).
Table 3.
Clinical Status (Oral Health Indices).
| Variable |
Category / Metric |
Value |
| Oral Hygiene (OHI-S) |
Good |
50 (25.0%) |
| |
Fair |
57 (28.5%) |
| |
Poor |
93 (46.5%) |
| Primary Teeth Caries (dmft) |
Mean (SD) |
3.75 (± 2.38) |
| Permanent Teeth Caries (DMFT) |
Mean (SD) |
0.85 (± 1.35) |
Table 4.
Association between Screen Time and Primary Teeth Caries (ANOVA Test).
Table 4.
Association between Screen Time and Primary Teeth Caries (ANOVA Test).
| Daily Screen Time |
N |
Mean dmft |
Std. Deviation |
F-Value |
P-Value |
| < 1 hour |
59 |
1.93 |
1.70 |
52.098 |
0.000* |
| 1 – 3 hours |
56 |
3.45 |
2.06 |
|
|
| > 3 hours |
85 |
5.24 |
1.99 |
|
|
Table 5.
Association between Screen Time and Permanent Teeth Caries (ANOVA).
Table 5.
Association between Screen Time and Permanent Teeth Caries (ANOVA).
| Daily Screen Time |
N |
Mean DMFT |
Std. Deviation |
F-Value |
P-Value |
| < 1 hour |
59 |
0.34 |
0.48 |
12.907 |
0.000* |
| 1 – 3 hours |
56 |
0.61 |
1.89 |
|
|
| > 3 hours |
85 |
1.38 |
1.15 |
|
|
Table 6.
Association between Screen Time and Snacking Habits (Chi-Square Test).
Table 6.
Association between Screen Time and Snacking Habits (Chi-Square Test).
| Daily Screen Time |
Snacking: Never |
Snacking: Sometimes |
Snacking: Always |
Chi-Square |
P-Value |
| < 1 hour |
28 (47.5%) |
20 (33.9%) |
11 (18.6%) |
95.974 |
0.000* |
| 1 – 3 hours |
6 (10.7%) |
35 (62.5%) |
15 (26.8%) |
|
|
| > 3 hours |
6 (7.1%) |
9 (10.6%) |
69 (81.2%) |
|
|
Table 7.
Association between Screen Time and Requesting Food from Ads.
Table 7.
Association between Screen Time and Requesting Food from Ads.
| Daily Screen Time |
Requesting: No |
Requesting: Yes |
Chi-Square |
P-Value |
| < 1 hour |
38 (64.4%) |
21 (35.6%) |
49.793 |
0.000* |
| 1 – 3 hours |
24 (42.9%) |
32 (57.1%) |
|
|
| > 3 hours |
7 (8.2%) |
76 (89.4%) |
|
|
Table 8.
Association between Screen Time and Brushing Habits.
Table 8.
Association between Screen Time and Brushing Habits.
| Daily Screen Time |
Interferes: No |
Interferes: Yes |
Chi-Square |
P-Value |
| < 1 hour |
38 (64.4%) |
21 (35.6%) |
52.047 |
0.000* |
| 1 – 3 hours |
26 (46.4%) |
30 (53.6%) |
|
|
| > 3 hours |
7 (8.2%) |
78 (91.8%) |
|
|
Table 9.
Association between Screen Time and Oral Hygiene Status (OHI-S).
Table 9.
Association between Screen Time and Oral Hygiene Status (OHI-S).
| Daily Screen Time |
Good |
Fair |
Poor |
Chi-Square |
P-Value |
| < 1 hour |
34 (57.6%) |
14 (23.7%) |
11 (18.6%) |
84.154 |
0.000* |
| 1 – 3 hours |
13 (23.2%) |
27 (48.2%) |
16 (28.6%) |
|
|
| > 3 hours |
3 (3.5%) |
16 (18.8%) |
66 (77.7%) |
|
|