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BMC Oral Health logoLink to BMC Oral Health
. 2023 Jul 28;23:529. doi: 10.1186/s12903-023-03238-x

Problematic media use is associated with poor oral health in Turkish school-age children: a pilot cross-sectional study

Şeyma Mustuloğlu 1,, Özlem Tezol 2
PMCID: PMC10386310  PMID: 37507783

Abstract

Objectives

In the recent years, problematic media use (PMU) has become a serious health concern for children. The precisely defined effects of PMU on children’s oral health are unknown. It was aimed to investigate the relationship between the PMU and oral health and oral habits in school-age children.

Methods

In this cross-sectional study, mothers and their healthy children aged 6–11 years who applied to pediatric dentistry outpatient clinic were enrolled. PMU was assessed using the parent-reported Problematic Media Use Measure Short Form (PMUM-SF). PMUM-SF scores were divided into 3 groups from the lowest to the highest tertile. Multivariable logistic regressions for PMU (moderate-high vs. low) were used to predict the odds of having good and parafunctional oral habits, poor oral hygiene, gingivitis and caries.

Results

Totally 153 mother–child pairs participated in this study. Plaque index, gingival index, ICDAS-II (International Caries Detection and Evaluation System), DMFT and DMFS [decayed (D), missing (M), filled (F) tooth (T) /surfaces (S)] scores were significantly higher in children with moderate-high PMU (P < 0.05). After adjusting for potential confounders, moderate-high PMU decreased the probability of good oral habit of daily toothbrushing [Odds (95% CI) = 0.43 (0.20–0.94)] while it increased the risk of oral parafunctional habit of object sucking/biting [Odds (95% CI) = 3.34 (1.27–8.74)]. Moderate-high PMU increased the risk of moderate-severe gingivitis, moderate-extensive caries and the presence of DMFT [Odds (95% CI) = 2.13 (1.01–4.50); 4.54 (1.11–18.54) and 2.16 (1.07–4.36), respectively].

Conclusions

Turkish school-age children with a remarkable PMU were significantly more likely to have poor oral health and exhibit oral parafunctional habits Oral health screening seems to be needed for Turkish children experiencing PMU.

Keywords: Children, Media use, Oral habits, Oral health

Introduction

Dental caries, which affects 60–90% of children worldwide, is recognized as one of the most common chronic disorders among children [1]. It is, also, the primary reason for dental pain and tooth loss [2]. In addition, if dental caries is not treated, it can negatively affect children's ability to chew, food choice, communication, school participation, concentration, and reduce their quality of life. In addition to these, it is possible to control the disease in its early stages by using fluoride, proper eating habits, and removing plaque on the tooth surface with regular brushing [2, 3]. The American Dental Association (ADA) recommends brushing twice a day for 2 min with a soft-bristled toothbrush and fluoride toothpaste, limiting sugary drinks and snacks and taking regular dental checkups to maintain oral health [4].

Most of the risk factors for chronic disease such as dental caries arise in childhood and are usually lifestyle related. Adopting healthy behaviors at an early age is an important step in maintaining healthy habits throughout life [5]. Since the development of oral hygiene habits in childhood can be affected by other behaviors such as eating, sleeping, and watching/ using screens of multimedia devices [6], discussing the possible effects of these behaviors on oral health may contribute to the improvement of public oral health.

At the present time, the younger generation is utilizing electronic media as an important part of their lives [7]. Besides the advantages of digital media devices in terms of accessing information and fast communication, they are often used for entertainment among children and adolescents. In addition, the increase in the variety of these devices and the fact that they are easily accessible from anywhere at any time cause children to use their screen increasingly [8]. When the increased use of screen media reaches an “addictive level”, the concept of problematic use of screen media develops and it leads to concerns in their parents, family members, children and adolescents themselves [9]. Problematic media use (PMU) is a form of dependence on media use for children aged 12 years and below which distinguishes excessive media use that interferes with a child's functioning from benign media use and it has become a serious health concern for children [10]. PMU in children can cause many social, psychological, and health problems such as conflict with parents and siblings about media use, delaying or avoiding schoolwork, disruption in the in-person peer interaction, obesity, sleep disturbance, and physical inactivity [1113]. The measure of PMU reveals the overall functioning of the child above total daily screen time and type of media used by measuring elements of addictive media use among children including preoccupation, withdrawal and unsuccessful attempts of the parents to control their child [11].

Screen time has been reported to be associated with dental caries in children [14]. Also, poor oral health was found to be associated with early exposure to screens and long-term screen use in Turkish preschool children [15]. However, to our knowledge, there is no published research in the literature investigating the probable relationship between PMU and oral health in children. In a comprehensive literature review, it can be seen that PMU has been evaluated most commonly in the context of its effects on sleep, the cardiovascular system, orthopedics, vision as well as psychoneurological and social outcomes among children and adolescents [16]. Since behavioral addictions result in neglect of some aspects of self-care such as personal hygiene [17, 18], we have hypothesized that PMU may also lead to neglect of dental hygiene and poor oral health. Thus, the present study aimed to investigate the relationship of the PMU with oral health and oral habits in school-age children.

Methods

Study design and setting

We conducted a descriptive cross-sectional study between 1-April-2022 and 15-June-2022 at the Pediatric Dentistry Department of the Dentistry Faculty, Mersin University. The signed consent forms from the mothers and their children were obtained before their participation. The study procedures were performed in accordance with the Declaration of Helsinki and the local ethics committee of the university approved the study.

Participants and data collection

The children aged 6–11 years who were admitted to the pediatric dentistry clinic for toothaches or regular dental checkups and their literate mothers were enrolled in this study. The participation status was determined by asking the mothers about the daily media use of their children in the waiting room. If the mother stated that her child was using media device(s) every day with a media-use time of less than or equal to 2-h per day except spent for homework in the recent month, the study process was described and the mothers were requested to complete a structured survey and the Problematic Media Use Measure Short Form (PMUM-SF). The children who were diagnosed with an acute serious disease, chronic disease or a neuropsychiatric disorder were excluded from the study. Besides, the children reported with a screen time of > 2 h per day except spent for homework were excluded from this study to eliminate the influence of excessive screen time (Fig. 1) [19].

Fig. 1.

Fig. 1

Flowchart of the study population selection

The structured survey form was designed to collect sociodemographic, anthropometric, sleep duration, screen-based media device use and oral care data as general descriptive characteristics. Parental education levels, family income level and settlement type were categorized. Anthropometric z-scores were calculated using the child growth standards of the World Health Organization (WHO) [20]. Ownership of children’s toothbrush, their daily toothbrushing habits, frequency of toothbrushing, type of used toothpaste and frequency of visiting a dentist were questioned. A regular dental checkup was accepted as visiting a dentist once or twice per year. Daily toothbrushing and regular dental checkups were considered as good oral habits. Information related to children’s oral parafunctional habits including thumb sucking, lip sucking/biting, gnashing teeth, biting nails, and object sucking/biting was identified as either present or not present.

Oral and dental examination

Oral and dental examinations were performed by the first author, who is experienced in pediatric dentistry for 5 years in the dental clinic, under the reflector light as per the guidelines of the WHO. The cavitated carious lesions were evaluated according to decayed (D, d), missing (M, m), filled (F, f) tooth (t)/surfaces (s) indices (dmft/s: for primary dentition and DMFT/S: for permanent dentition) [21]. Furthermore, ICDAS-II (International Caries Detection and Assessment System) was used for a more detailed evaluation of dental caries including early enamel caries lesions and stages of lesions [22]. The maximum score assessed in the mouth was recorded as the ICDAS-max score of the patient (total scores 0; wellness and 1–2, 3–4 and 5–6; initial, moderate, and extensive caries, respectively) [23]. Oral hygiene status of the patients according to plaque index of Silness and Löe (scores 0–3; no plaque, thin, moderate, and heavy plaque, and total scores 0, 0.1–0.9, 1.0–1.9 and 2.0–3.0; excellent, good, fair and poor oral hygiene, respectively), and gingival health status according to gingival index of Silness and Löe (scores 0–3; no, mild, moderate and severe inflammation and total scores 0, 0.1 1.0, 1.1–2.0 and 2.1–3.0; free of mild, moderate, and severe gingivitis, respectively) were assessed [24].

Before the oral and dental examinations, a calibration study was performed by an experienced and trained specialist dentist, and inter-examiner Kappa coefficients were found to be 0.81, 0.91, 0.82 and 0.88 for the PI; GI; ICDAS-II; and DMF index system, respectively. In addition, intra-examiner kappa values for all indices regarding oral health were found to be higher than 0.80.

The measurement of problematic media use

Problematic Media Use Measure (PMUM) is a parent-reported measure of screen media addiction in children aged between 4 to 11 years. PMUM assesses a unidimensional construct of PMU which consists of items created based on the nine criteria for Internet Gaming Disorder in the DSM-5. The PMUM-SF uses nine items corresponding to these criteria. The responses were based on a 5-point Likert scale ranging between never (1) to always (5). The total score (range, 1–5) is generated by adding the scores from the items and dividing them by 9. A higher PMUM-SF score is linked to more PMU [11]. Furuncu and Öztürk performed reliability and validity study of Turkish version of PMUM and PMUM-SF, and revealed that PMUM-SF has good support for its validity to test screen addiction in Turkish children aged between 4 to 11 years [25].

Outcome measures

The primary patient-centered outcome of the study was problematic media use in children admitted to a pediatric dentistry clinic. The primary clinical outcomes were decayed, missing, filled teeth in permanent and primary teeth, plaque/inflammation indices, and parafunctional oral habits in these children. Toothbrushing habit status/characteristics and regular dental checkup were also investigated as the secondary clinical measures. Media devices used were non-clinical secondary outcomes.

Sample size calculation and statistical analyses

Since the relationship between PMU and child oral-dental health in Turkish population was not documented, a moderate correlation was assumed and total sample size was determined as 134 children with an effect size of 0.3 and a power of 95% (G*Power 3.1.9.4). All volunteers who accepted to participate in the study were included until the data collection period expired.

Data were analyzed using SPSS 21 statistics software. The Kolmogorov–Smirnov test and histograms were used to test for the distribution normality of study data. Median (IQR, 25th-75th percentile), mean ± standard deviation and percentage values were expressed. Two parametric values were compared using the Student’s t-test while two nonparametric values were compared using the Mann–Whitney U test. The Chi-square test was used for the categorical variables. Since PMUM-SF has no defined cut-off points, PMUM-SF scores were divided into 3 groups from the lowest to the highest tertile. A Spearman’s rank correlation was used to measure the relationship between PMUM-SF scores and oral health parameters. Multivariate logistic regression for PMU (moderate-high vs. low) was used to predict the odds of having good and parafunctional oral habits, fair-poor oral hygiene, moderate-severe gingivitis, moderate-extensive caries, the presence of decayed/filled/missing teeth, and the presence of decayed/filled surfaces. The odds ratios (ORs) were calculated at a CI of 95% with the ENTER method. In the regression analyses, the independent variables included variables with a p < 0.250 in univariate statistics. All statistical assessments were two-sided and statistical significance was considered at P < 0.05.

Results

A total of 153 mother–child pairs participated in this study. The overall median age of the children was 8.8 (6.2–11.8) years and 52.3% were males. According to the statements of the mothers, all 153 children had a screen time of 1.5 to 2 h per day except for spent homework. Twelve (7.8%) children, who gained a PMUM-SF score of 1 which indicated absence of PMU, were categorized into the lower tertile group. The numbers of children with a PMUM-SF score in the lower tertile and the moderate-high tertile were 51 and 102, respectively. No significant difference was present between the children with low and moderate-high PMU in terms of age, gender, birth order, breastfeeding, parent and family characteristics, and anthropometric z-scores (P > 0.05). The median duration of daily night-sleep time showed no significant difference between the groups [9 (8–10) h vs. 9 (8–10) h, P = 0.857]. Having daily toothbrushing habit was significantly more common in the low-PMU group (70.6% vs. 47.1%, P = 0.006). Also, using children’s toothpaste was significantly more common in the low-PMU group (74.5% vs. 51.6%, P = 0.010). No significant difference was present between the groups in terms of frequency of having regular dental checkups (19.6% vs. 8.8%, P = 0.057). The comparison between the groups in terms of sociodemographic, anthropometric, and oral care characteristics was presented in Table 1.

Table 1.

The comparison between the groups in terms of sociodemographic, anthropometric, and oral care characteristics

Low problematic media use (n = 51) Moderate-high problematic media use (n = 102) P—value
Age, year 8.3 (7.2–9.7) 9.3 (7.9–10.5) 0.077a
Gender, male 47.1 54.9 0.360b
Birth order
 1st 43.1 45.1 0.818b
  ≥ 2nd 56.9 54.9
Breastfeeding at least six months 100.0 96.1 -
Total duration of breastfeeding, month 12 (6–20) 12 (6–21) 0.577a
Pacifier use 49.0 40.2 0.299b
Duration of pacifier use, month 0 (0–12) 0 (0–12) 0.331a
Feeding bootle use 58.8 58.8 1.00b
Duration of feeding bottle use, month 9 (0–14) 7 (0–12) 0.850a
Maternal age, year 37.1 ± 5.8 37.4 ± 5.7 0.765c
Paternal age, year 42.0 ± 5.8 41.0 ± 5.6 0.312c
Maternal occupation, working mom 19.6 18.6 0.884b
Maternal educational level
 Primary school 39.2 50.0 0.207b
 High school/college 60.8 50.0
Paternal educational level
 Primary school 35.3 41.2 0.482b
 High school/college 64.7 58.8
Number of children in the family 2 (2–3) 2 (2–3) 0.357a
Family structure, nuclear 84.3 80.4 0.554b
Family income level
 High 7.8 6.9 0.974b
 Middle 43.1 43.1
 Low 49.0 50.0
Settlement, urban 64.7 56.9 0.352b
Z-score
 Height for age -0.32 (-0.79 to 0.55) 0.21 (-0.51 to 0.74) 0.064a
 Weight for age -0.21 (-0.78 to 0.34) -0.13 (-0.72 to 0.55) 0.539a
 Body mass index -0.34 (-0.59 to 0.61) -0.28 (-0.69 to 0.44) 0.501a
Having own toothbrush 100.0 100.0 -
Having daily toothbrushing habit 70.6 47.1 0.006b
Toothbrushing frequency
 Never 7.8 10.8 0.028b
 Once or twice a week 21.6 42.1
 Once a day 31.4 26.5
 Twice a day 39.2 20.6
Brushing teeth
 On own 85.1 83.5 -
 On own under parent 14.9 14.3
 Supervision assisted 0.0 2.2
Using toothpaste 100.0 100.0 -
 Adult toothpaste 25.5 48.4 0.010b
 Children's toothpaste 74.5 51.6
Visiting a dentist
 For the first time 21.6 20.6 0.142b
 When he/she has a toothache 58.8 70.6
 Regularly once or twice per year 19.6 8.8

acomparison of medians, the Mann–Whitney U test

bcomparison of percentages, the Chi Square test

ccomparison of means, the Independent–Samples T test. Showing only the percentage of findings

The median PMUM-SF scores in the low and moderate-high PMU groups were detected to be1.2 (1.1–1.4) and 2.4 (1.9–3.0) (P < 0.001), respectively. Use of a smartphone, tablet, and computer was significantly more common in the moderate-high PMU group (P < 0.05). The frequency of object sucking/biting was significantly higher in the moderate-high PMU group (30.4% vs. 11.8%, P = 0.011). The median values of plaque index, gingival index, and max ICDAS score were significantly higher in moderate-high PMU group (1.3 vs. 1.1, P = 042; 1.1 vs. 0.8, P = 0.012; and 5.5 vs. 5.0, P = 0.029, respectively). Also, DMFT and DMFS scores were significantly higher in the moderate-high PMU group (both 1.0 vs. 0, P = 0.018 and P = 0.013, respectively). The comparison between the groups in terms of media use characteristics, oral parafunctional habits and oral health parameters can be seen in Table 2.

Table 2.

The comparison between the groups in terms of media use characteristics, parafunctional oral habits, and oral health parameters

Low problematic media use (n = 51) Moderate-high problematic media use (n = 102) P—value
PMUM-SF score 1.2 (1.1–1.4) 2.4 (1.9–3.0)  < 0.001a
Using media devices
 Television 68.6 67.6 0.902b
 Smart phone 54.9 74.5 0.014b
 Tablet 29.4 46.1 0.048b
 Computer 11.8 25.5 0.049b
 PlayStation 5.9 5.9 1.00b
parafunctional oral habits
 Thumb-sucking 0.0 3.9 0.302b
 Lip sucking or biting 11.8 21.6 0.139b
 Gnashing teeth 27.5 30.4 0.707b
 Biting nail 15.7 21.6 0.388b
 Object sucking or biting 11.8 30.4 0.011b
Having at least one parafunctional oral habit 25 (49.0) 63 (61.8) 0.133b
Number of parafunctional oral habits 1 (1–1.5) 1 (1–2) 0.053a
 1 habit 76.0 54.0 0.057b
  ≥ 2 habits 24.0 46.0
Plaque index score 1.1 (0.7–1.5) 1.3 (0.8–1.9) 0.042a
 Excellent 0.0 0.0 0.095b
 Good 47.1 33.3
 Fair 43.1 44.1
 Poor 9.8 22.5
Oral hygiene
 Good 47.1 33.3 0.099b
 Fair-poor 52.9 66.7
Gingival index score 0.8 (0.4–1.2) 1.1 (0.6–1.7) 0.012a
 Free of gingivitis 0.0 0.0 0.036b
 Mild gingivitis 68.6 51.0
 Moderate gingivitis 29.4 36.3
 Severe gingivitis 2.0 12.7
Gingivitis
 Mild (68.6) 51.0 0.038b
 Moderate-severe (31.4) 49.0
ICDAS max score 5 (4.5–6) 5.5 (5–6) 0.029a
 Initial lesions 11.8 3.9 0.052
 Moderate lesions 13.7 6.9
 Extensive lesions 74.5 89.2
Caries
 Initial 11.8 3.9 0.085
 Moderate-extensive 88.2 96.1
DMFT 0 (0–1) 1 (0–2) 0.018a
 Absence of decayed/filled/missing 66.7 48.0 0.029b
 Presence of decayed/filled/missing 33.3 52.0
DMFS 0 (0–1) 1 (0–3) 0.013a
 Absence of decayed/filled 66.7 48.0 0.029b
 Presence of decayed/filled 33.3 52.0
dmft 4 (1–6.5) 4 (2–6) 0.523a
dmfs 11 (2–19) 9.5 (3–17) 0.592a

PMUM-SF Problematic media use measure-short form, ICDAS The international caries detection and assessment system, D/d decay, M/m Missing, F/f Filling, t/T Teeth, s/S Surface. Showing only the percentage of findings

acomparison of medians, the Mann–Whitney U test

bcomparison of percentages, the Chi Square test

There was a weak correlation between PMUM-SF score and the number of oral parafunctional habits (r = 0.17, n = 153, P = 0.030). A moderate-high PMU decreased the probability of good oral habit of daily toothbrushing [Odds (95% CI) = 0.43 (0.20–0.94), P = 0.033], while it increased the risk of oral parafunctional habit of object sucking/biting [Odds (95% CI) = 3.34 (1.27–8.74), P = 0.014]. There was no relationship between moderate-high PMU and having a regular dental checkup, thumb-sucking, lip-sucking/biting, gnashing teeth and biting nails (P > 0.05) (Table 3).

Table 3.

The relationship of moderate-high problematic media use with oral habits and oral health

P value OR 95% CI for EXP(B)
Lower Upper
Good oral habits
 Daily tooth brushing 0.033 0.43 0.20 0.94
 Regular dental checkup 0.062 0.37 0.13 1.05
Parafunctional oral habits
 Lip sucking or biting 0.144 2.10 0.78 5.67
 Gnashing teeth 0.703 1.16 0.54 2.51
 Biting nail 0.456 1.41 0.57 3.52
 Object sucking or biting 0.014 3.34 1.27 8.74
 At least one parafunctional oral habit 0.142 1.68 0.84 3.36
 Fair- poor oral hygiene 0.119 1.78 0.86 3.69
 Moderate- severe gingivitis 0.048 2.13 1.01 4.50
 Moderate- extensive caries 0.035 4.54 1.11 18.54
 Presence of DMFT 0.031 2.16 1.07 4.36
 Presence of DMFS 0.031 2.16 1.07 4.36

D Decay, M Missing, F Filling, T Teeth, S Surface

There was a weak correlation between PMUM-SF score and plaque index (r = 0.17, P = 0.027), gingival index (r = 0.23, P = 0.004), max ICDAS score (r = 0.17, P = 0.034), DMFT (r = 0.19, P = 0.019) and DMFS (r = 0.19, P = 0.015) scores whereas there was no correlation between PMUM-SF score and dmft (r = -0.05, P = 0.474) and dmfs (r = -0.06, P = 0.420) scores. A moderate-high PMU increased the risk for moderate-severe gingivitis, moderate-extensive caries, presence of DMFT and presence of DMFS [Odds (95% CI) = 2.13 (1.01–4.50), P = 0.048; 4.54 (1.11–18.54), P = 0.035 and 2.16 (1.07–4.36), P = 0.031, respectively]. Moderate-high PMU was not associated with poor oral hygiene (P > 0.05) (Table 3.

Discussion

To the best of our knowledge, this is the first study to investigate the relationship between oral habits, oral health and the PMU in school-age children. In this study, 57.5% of the children had at least one oral parafunctional habit, and moderate-high PMU increased the risk for object sucking/biting habit. Besides, 54.9% had daily toothbrushing habits, and moderate-high PMU decreased the probability of having a daily toothbrushing habit. According to the multivariate analysis result, moderate-high PMU was found to be associated with poor gingival status and more severe dental caries.

The PMUM-SF scale predicts PMU—screen media addiction in children independently from gender, duration of screen-time and type of media device [11]. Differently from these previous studies, we investigated PMU in our study. PMU is an addictive pattern of engagement with a variety of different screen activities (internet use, social media use, video gaming or mobile phone use) in a dependent, problematic manner [26]. The measure of PMU reveals the child's overall functioning above total daily screen time and type of used media. Originally, the present study revealed a significant relationship between PMU and oral health. We showed that a moderate-high PMU was related with reduced daily toothbrushing and reduced age-appropriate toothpaste use as well as increased gingival inflammation and presence of both caries and activity compared with low PMU. However, previous studies investigating the relationship between media use and oral health commonly had focused on the screen time or type of media used by children or adolescents. The study of Tsuchiya et al. [6] indicated a type-specific unfavorable impact of screen viewing on oral health behavior in the children aged 6–15 years. The authors have found an association between excessive video game playing (> 2 h/d), however, not with TV viewing, and also lower daily toothbrushing frequency (< 2 times/day). Besides, excessive video game playing was associated with unhealthy dental behavior which is defined as a lower brushing frequency regardless of the awareness of dental caries. Doitchinova et al. [27] have reported a correlation between prolonged TV viewing and dental caries activity in the children aged 6–12 years. In adolescents, problematic internet use -the excessive and disruptive nonessential use of the Internet- was associated with a low frequency of toothbrushing, gingival bleeding, tooth pain and neglect of dental checkups [27, 28]. In late adolescents, excessive computer use (> 3 h/d) was associated with oral hygiene neglect, absence from school due to oral pain, bleeding after probing the gingival pocket, less healthy periodontium, and decayed teeth [29]. Another study conducted on late adolescents demonstrated that problematic internet use was associated with negative oral health practice and gingivitis [30].

In the present study, 73.2% of the children did not follow the recommendation of twice-daily toothbrushing while 87.6% did not follow the recommendation of dental checkup every 6–12 months and only 12 (7.8%) had no PMU. The percentage of Australian children not following the recommendation of twice-daily toothbrushing and a regular dental checkup once every 6–12 months was found to be 66.9% and 62.9%, respectively. Also, more than two-thirds of Australian children did not adhere to recommended screen-time while more than half of parents were interested in receiving information about good oral health and screen-time practices [31, 32]. In line with these results, we can suggest that parental awareness about protective oral health and media use practices should be expanded in the Turkish population. For this purpose, dental visits may involve instructing parents about recommended preventive child health behaviors. In addition, instructive brochures about oral hygiene and healthy digital habits can be prepared to exhibit on school boards since problematic internet use was found to be negatively associated with toothbrushing after lunch at school [33].

In the present study, the children with low PMU were more likely to experience good oral habits leading to good oral hygiene. However, complying with recommendations on screen time, internet use, and dental practices have been reported to be less probable in the boys and children/adolescents from low socioeconomic backgrounds and urban residences [27, 33]. On the contrary, a previous study, similarly with our study, reported no significant difference between children with and without problematic internet use in terms of gender and socio-demographic characteristics [34]. Consistently with our findings, previous evidence manifested an association between problematic internet use and poor self-care and poor oral hygiene [3335]. As it might be expected, PMU habits may lead to difficulties in performing daily routines.

There was no significant association between moderate-high PMU and following regular dental checkups in this study. However, a negative association was reported between heavy internet use and receiving an annual dental checkup in collegians [36]. Time and attention paid for regular dental visits may have prevented addictive media use behaviors in young population. Since childhood dental visits were under parental control, parents may have protected their children from missing regular dental visits.

Our findings indicate that PMU may deteriorate oral health even if the child spends the screen-time while using media as recommended. On the other hand, among adolescents, internet and social media used to gain information on oral health has been reported not to increase the prevalence of caries and the number of untreated caries [37]. Furthermore, healthier digital habits and rational media use should be encouraged in children and adolescents.

Our study expands the literature on experience of the children regarding oral health problems by demonstrating that moderate-high PMU may be linked to oral parafunctional habits. Park et al. [33] have revealed a negative association between problematic internet use and self-reported oral disease symptoms in adolescents. These symptoms included tooth, tongue, gum, and cheek disorders as well as bad breath. A previous study reported a positive correlation between increased screen media use and increased oral parafunctional habits, and it was emphasized that undesirable habits such as compulsive use of screens may deteriorate psychological and physiological health and may develop or aggravate oral parafunctional habits [38]. Oral parafunctional habits are common during childhood and they are one of the important etiological factors that may lead to malformations in dentofacial structures. There may be multiple reasons of these adverse oral habits [39]. The present study notes that PMU may be one of the factors associated with oral parafunctional habits. Although we detected a weak correlation, we can suggest that the number of oral parafunctional habits may also increase as PMU increases.

The most commonly used screen media among children was television in low PMU group while smart phone the most common media type in moderate-high PMU group. Besides, use of tablet and computer was more common in moderate-high PMU group. A recent study with a particular emphasis on screen media addiction among Turkish adolescents reported that the most common intentional uses with the digital devices were encountered towards social media and communication [40]. Consistently, sample profile of our study exhibiting screen-based media device use manifested that use of mobile and web-enabled device may be relevant to PMU.

The originality of this study is measurement of PMU which is an addictive behavior in children. In this study, statistical power was %99 in comparing the means of DMFT scores of low- and moderate-high PMU groups (OpenEpi calculator, http://www.openepi.com/Power/PowerMean.htm). The strength of our study is its emphasizing the associations of PMU with oral parafunctional habits, adverse oral health behaviors and poor oral health. Since we have identified an association between moderate-to-high PMU and the presence of gingivitis and dental caries, we can suggest that providing key recommendations about children’s health can be considered as a component of the dental visits. Receiving information from pediatric dentists not only about oral health, but also about media use, may help parents to establish healthy lifestyle habits in their children.

There are several limitations of this study. First, the cross-sectional design is not appropriate to determine the temporal relationship of PMU with oral habits and oral health status. Second, we obtained no information on dietary behavior, particularly the consumption of sugary foods or beverages during media-use sessions that could influence the association of PMU with parafunctional oral habits and poor oral health. However, since all children participating in this study used screens for less than 2 h, we can assume that they consumed a limited amount of cariogenic food and beverage during screen use. In addition, the normal weight of the children participants of the study indicating no underweight, overweight or obesity may alleviate this limitation of the study. Finally, we obtain no information about stress or parental smoking. We have evaluated sleep duration, however, we did not take sleep quality into consideration. However, both inadequate sleep duration and poor sleep quality have been associated with dental caries and oral symptoms [41, 42]. Thus, it is needed to carry out further prospective studies based on additional comprehensive variables. It is recommended to conduct a future research with a large representative sample of Turkish school children to confirm the results of the this pilot study.

Conclusions

Problematic media use is an entity over excessive screen-time while some oral parafunctional habits and poor oral health may be related to PMU in children. Hence, it is needed to carry out an oral health screening in Turkish children with PMU and to educate their parents on this matter. It is essential to inculcate good oral habits and behaviors in the children by emphasizing the effects of PMU on oral health.

Acknowledgements

We would like to thank the participants to join this study.

Abbreviations

PMU

Problematic media use

PMUM-SF

Problematic Media Use Measure Short Form

ICDAS-II

The International Caries Detection and Evaluation System

DMFT/S (for permanent dentition), dmft/s (for primary dentition)

Decayed (D, d), missing (M, m), and filled (F, f) tooth (T/t) /surfaces (S/s)

CI

Confidence Interval

IQR

Interquartile Range

ORs

Ods ratios

ADA

The American Dental Association

WHO

World Health Organization

Authors’ contributions

All authors contributed the study conception and design and questionnaire preparation. Data collection was performed by Seyma Mustuloglu. The first draft of the manuscript was written by Seyma Mustuloglu and Özlem Tezol. Statistical analysis were performed by Özlem Tezol. All authors commented on previous of the manuscript and all authors read and approved the final manuscript.

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Availability of data and materials

The data that support the fndings of this study are available from the corresponding author upon reasonable request.

Declarations

Ethics approval and consent to participate

The research protocol was approved by the Ethics Committee of Mersin University in Turkey (Approval Code: No. 2022/227; Approval Date:8 April 2022) and was conducted in accordance with the most recent guidelines of the Declaration of Helsinki. * Informed consent was obtained from the parent and/or legal guardian for all the study participants before data collection. Only children with a signed parental consent and who gave their verbal assent were included in the study. All subjects’ rights were protected, and all data was kept confdential.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Petersen PE. The World Oral Health Report 2003: continuous improvement of oral health in the 21st century–the approach of the WHO Global Oral Health Programme. Community Dent Oral Epidemiol. 2003;31(Suppl 1):3–23. doi: 10.1046/j.2003.com122.x. [DOI] [PubMed] [Google Scholar]
  • 2.Kidd EA, Fejerskov O (Eds.). Dental caries: The disease and its clinical management. 2003. Blackwell Munksgaard.
  • 3.Petersen PE. Sociobehavioural risk factors in dental caries - international perspectives. Community Dent Oral Epidemiol. 2005;33(4):274–279. doi: 10.1111/j.1600-0528.2005.00235.x. [DOI] [PubMed] [Google Scholar]
  • 4.American Dental Association (ADA). Brushing and Beyond: Key Oral Health Tips for Anyone with a Smile: ADA. Available from: https://www.mouthhealthy.org/en/oral-health-recommendations [Accessed date: 14 Aug 2022].
  • 5.Center on the Developing Child at Harvard University. The Foundations of Lifelong Health are Built in Early Childhood. Cambridge: Harvard University; 2010. Available from: http://developingchild.harvard.edu [Accessed date: 14 August 2022].
  • 6.Tsuchiya M, Momma H, Sekiguchi T, Kuroki K, Kanazawa K, Watanabe M, Hagiwara Y, Nagatomi R. Excessive game playing ıs associated with poor toothbrushing behavior among athletic children: a cross-sectional study in Miyagi Japan. Tohoku J Exp Med. 2017;241(2):131–138. doi: 10.1620/tjem.241.131. [DOI] [PubMed] [Google Scholar]
  • 7.Henderson M, Benedetti A, Barnett TA, Mathieu ME, Deladoëy J, Gray-Donald K. Influence of adiposity, physical activity, fitness, and screen time on ınsulin dynamics over 2 years in children. JAMA Pediatr. 2016;170(3):227–235. doi: 10.1001/jamapediatrics.2015.3909. [DOI] [PubMed] [Google Scholar]
  • 8.Kroshus E, Tandon PS, Zhou C, Johnson AM, Steiner MK, Christakis DA. Problematic Child Media Use During the COVID-19 Pandemic. Pediatrics. 2022;150(3):e2021055190. doi: 10.1542/peds.2021-055190. [DOI] [PubMed] [Google Scholar]
  • 9.Raju V, Sharma A, Shah R, Tangella R, Yumnam SD, Singh J, Yadav J, Grover S. Problematic screen media use in children and adolescents attending child and adolescent psychiatric services in a tertiary care center in North India. Indian J Psychiatry. 2023;65(1):83–89. doi: 10.4103/indianjpsychiatry.indianjpsychiatry_182_22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Eales L, Gillespie S, Alstat RA, Ferguson GM, Carlson SM. Children’s screen and problematic media use in the United States before and during the COVID-19 pandemic. Child Dev. 2021;92(5):e866–e882. doi: 10.1111/cdev.13652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Domoff SE, Harrison K, Gearhardt AN, Gentile DA, Lumeng JC, Miller AL. Development and Validation of the Problematic Media Use Measure: A Parent Report Measure of Screen Media “Addiction” in Children. Psychol Pop Media Cult. 2019;8(1):2–11. 10.1037/ppm0000163. [DOI] [PMC free article] [PubMed]
  • 12.Uhls YT, Michikyan M, Morris J, Garcia D, Small GW, Zgourou E, Greenfield PM. Five days at outdoor education camp without screens improves preteen skills with nonverbal emotion cues. Comput Hum Behav. 2014;39:387–392. doi: 10.1016/j.chb.2014.05.036. [DOI] [Google Scholar]
  • 13.Chahal H, Fung C, Kuhle S, Veugelers PJ. Availability and night-time use of electronic entertainment and communication devices are associated with short sleep duration and obesity among Canadian children. Pediatr Obes. 2013;8(1):42–51. doi: 10.1111/j.2047-6310.2012.00085.x. [DOI] [PubMed] [Google Scholar]
  • 14.Asaka Y, Sekine M, Yamada M, Tatsuse T, Sano M. Association of short sleep duration and long media use with caries in school children. Pediatr Int. 2020;62:214–220. doi: 10.1111/ped.14075. [DOI] [PubMed] [Google Scholar]
  • 15.Yılmaz N, Avcı G. Exposure to screen time and dental neglect. J Paediatr Child Health. 2022;58:1855–1861. doi: 10.1111/jpc.16177. [DOI] [PubMed] [Google Scholar]
  • 16.Lissak G. Adverse physiological and psychological effects of screen time on children and adolescents: Literature review and case study. Environ Res. 2018;164:149–157. doi: 10.1016/j.envres.2018.01.015. [DOI] [PubMed] [Google Scholar]
  • 17.Beüiroviü E, Pajeviü I. Bihavioral addictions in childhood and adolescence - pandemic knocking door. Psychiatr Danub. 2020;32(Suppl 3):382–385. [PubMed] [Google Scholar]
  • 18.Mohammad S, Jan RA, Alsaedi SL. Symptoms, Mechanisms, and Treatments of Video Game Addiction. Cureus. 2023;15(3):e36957. doi: 10.7759/cureus.36957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.American Academy of Pediatrics. Committee on Public Education American Academy of Pediatrics: Children, adolescents, and television. Pediatrics. 2001;107(2):423–426. doi: 10.1542/peds.107.2.423. [DOI] [PubMed] [Google Scholar]
  • 20.WHO Multicentre Growth Reference Study Group . WHO Child Growth Standards: length/height-for-age, weight-for-age, weight-for-length, weightfor-height and body mass index-for-age: methods and development. Geneva: WHO; 2006. [Google Scholar]
  • 21.World Health Organization. Oral health surveys: basic methods - 5th edition. https://www.who.int/publications/i/item/9789241548649.
  • 22.Ismail AI, Sohn W, Tellez M, Amaya A, Sen A, Hasson H, Pitts NB. The International Caries Detection and Assessment System (ICDAS): an integrated system for measuring dental caries. Community Dent Oral Epidemiol. 2007;35(3):170–178. doi: 10.1111/j.1600-0528.2007.00347.x. [DOI] [PubMed] [Google Scholar]
  • 23.Pitts NB, Ekstrand KR, ICDAS Foundation International Caries Detection and Assessment System (ICDAS) and its International Caries Classification and Management System (ICCMS) - methods for staging of the caries process and enabling dentists to manage caries. Community Dent Oral Epidemiol. 2013;41(1):e41–e52. doi: 10.1111/cdoe.12025. [DOI] [PubMed] [Google Scholar]
  • 24.Löe H. The Gingival Index, the Plaque Index and the Retention Index Systems. J Periodontol. 1967;38(6):610–616. doi: 10.1902/jop.1967.38.6.610. [DOI] [PubMed] [Google Scholar]
  • 25.Furuncu C, Öztürk E. Validity and reliability study of Turkish version of problematic media use measure: A parent report measure of screen addiction in children. J Early Childhood Stud. 2020;4(3):535–566. doi: 10.24130/eccd-jecs.1967202043237. [DOI] [Google Scholar]
  • 26.Sigman A. Screen dependency disorders: a new challenge for child neurology. J Int Child Neurol Assoc. 2017;17:119. doi: 10.17724/jicna.2017.119. [DOI] [Google Scholar]
  • 27.Doitchinova L, Kirov D, Bakardjiev P, Nikolova M, Hristov D. Television advertising and development of dental caries in children aged 6 to 12 years. Folia Med (Plovdiv) 2021;63(4):533–540. doi: 10.3897/folmed.63.e55433. [DOI] [PubMed] [Google Scholar]
  • 28.Do KY, Lee ES, Lee KS. Association between excessive Internet use and oral health behaviors of Korean adolescents: a 2015 national survey. Community Dent Health. 2017;34(3):183–189. doi: 10.1922/CDH_4107Do07. [DOI] [PubMed] [Google Scholar]
  • 29.Olczak-Kowalczyk D, Tomczyk J, Gozdowski D, Kaczmarek U. Excessive computer use as an oral health risk behaviour in 18-year-old youths from Poland: a cross-sectional study. Clin Exp Dent Res. 2019;5(3):284–293. doi: 10.1002/cre2.183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Al-Ansari A, El Tantawi M, AlMadan N, Nazir M, Gaffar B, Al-Khalifa K, AlBaty A. Internet Addiction, Oral Health Practices, Clinical Outcomes, and Self-Perceived Oral Health in Young Saudi Adults. Sci World J. 2020:7987356. 10.1155/2020/7987356. [DOI] [PMC free article] [PubMed]
  • 31.Baker S, Morawska A, Mitchell AE. Do Australian children carry out recommended preventive child health behaviours? Insights from an online parent survey. J Paediatr Child Health. 2020;56(6):900–907. doi: 10.1111/jpc.14773. [DOI] [PubMed] [Google Scholar]
  • 32.Hardy LL, Mihrshahi S, Bellew W, Bauman A, Ding D. Children’s adherence to health behavior recommendations associated with reducing risk of non-communicable disease. Prev Med Rep. 2017;8:279–85. 10.1016/j.pmedr.2017.10.006. [DOI] [PMC free article] [PubMed]
  • 33.Park S, Lee JH. Associations of Internet Use with Oral Hygiene Based on National Youth Risk Behavior Survey. Soa Chongsonyon Chongsin Uihak. 2018;29(1):26–30. doi: 10.5765/jkacap.2018.29.1.26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Tran BX, Huong LT, Hinh ND, Nguyen LH, Le BN, Nong VM, Thuc VT, Tho TD, Latkin C, Zhang MW, Ho RC. A study on the influence of internet addiction and online interpersonal influences on health-related quality of life in young Vietnamese. BMC Public Health. 2017;17(1):138. doi: 10.1186/s12889-016-3983-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Kamal NN, Mosallem FA. Determinants of problematic internet use among el-minia high school students, egypt. Int J Prev Med. 2013;4(12):1429–1437. [PMC free article] [PubMed] [Google Scholar]
  • 36.Peltzer K, Pengpid S, Apidechkul T. Heavy Internet use and its associations with health risk and health-promoting behaviours among Thai university students. Int J Adolesc Med Health. 2014;26(2):187–194. doi: 10.1515/ijamh-2013-0508. [DOI] [PubMed] [Google Scholar]
  • 37.Almoddahi D, Machuca Vargas C, Sabbah W. Association of dental caries with use of internet and social media among 12 and 15-year-olds. Acta Odontol Scand. 2022;80(2):125–130. doi: 10.1080/00016357.2021.1951349. [DOI] [PubMed] [Google Scholar]
  • 38.Carrillo-Diaz M, Ortega-Martínez AR, Romero-Maroto M, González-Olmo MJ. Lockdown impact on lifestyle and its association with oral parafunctional habits and bruxism in a Spanish adolescent population. Int J Paediatr Dent. 2022;32(2):185–193. doi: 10.1111/ipd.12843. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Shah AF, Batra M, Sudeep CB, Gupta M, Kumar R. Oral habits and their implications. Ann Med. 2014;1(4):179–186. [Google Scholar]
  • 40.Carkaxhiu Bulut G, Gokce S. Problematic social media use, digital gaming addiction and excessive screen time among Turkish adolescents during remote schooling: implications on mental and academic well-being. Marmara Med J. 2023;36(1):24–33. doi: 10.5472/marumj.1244628. [DOI] [Google Scholar]
  • 41.Chen H, Tanaka S, Arai K, Yoshida S, Kawakami K. Insufficient Sleep and incidence of dental caries in deciduous teeth among children in Japan: a population-based cohort study. J Pediatr. 2018;198:279–286.e5. doi: 10.1016/j.jpeds.2018.03.033. [DOI] [PubMed] [Google Scholar]
  • 42.Choi ES, Jeon HS, Mun SJ. Association between sleep habits and symptoms of oral disease in adolescents: the 2017 Korea Youth Risk Behavior Web-based Survey. BMC Oral Health. 2021;21(1):233. doi: 10.1186/s12903-021-01575-3. [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 data that support the fndings of this study are available from the corresponding author upon reasonable request.


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