Excessive computer use as an oral health risk behaviour in 18‐year‐old youths from Poland: A cross‐sectional study

Olczak‐Kowalczyk, Dorota; Tomczyk, Jacek; Gozdowski, Dariusz; Kaczmarek, Urszula

doi:10.1002/cre2.183

Cited by 11 publications

(9 citation statements)

References 24 publications

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“…For instance, a survey conducted among adolescents from 9 African countries reported sub-optimal tooth brushing among 22% and only 58% of the sample reported regular handwashing after using the toilet [ 31 ]. Some studies among adolescents have also reported an overlap between behaviors linked to communicable diseases and NCDs [ 32 , 33 ]. This behavioral overlap (i.e.…”

Section: Introductionmentioning

confidence: 99%

Clustering of health risk behaviors among adolescents in Kilifi, Kenya, a rural Sub-Saharan African setting

et al. 2020

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Background Adolescents tend to experience heightened vulnerability to risky and reckless behavior. Adolescents living in rural settings may often experience poverty and a host of risk factors which can increase their vulnerability to various forms of health risk behavior (HRB). Understanding HRB clustering and its underlying factors among adolescents is important for intervention planning and health promotion. This study examines the co-occurrence of injury and violence, substance use, hygiene, physical activity, and diet-related risk behaviors among adolescents in a rural setting on the Kenyan coast. Specifically, the study objectives were to identify clusters of HRB; based on five categories of health risk behavior, and to identify the factors associated with HRB clustering. Methods A cross-sectional survey was conducted of a random sample of 1060 adolescents aged 13–19 years living within the area covered by the Kilifi Health and Demographic Surveillance System. Participants completed a questionnaire on health behaviors which was administered via an Audio Computer-Assisted Self–Interview. Latent class analysis on 13 behavioral factors (injury and violence, hygiene, alcohol tobacco and drug use, physical activity, and dietary related behavior) was used to identify clustering and stepwise ordinal logistic regression with nonparametric bootstrapping identified the factors associated with clustering. The variables of age, sex, education level, school attendance, mental health, form of residence and level of parental monitoring were included in the initial stepwise regression model. Results We identified 3 behavioral clusters (Cluster 1: Low-risk takers (22.9%); Cluster 2: Moderate risk-takers (67.8%); Cluster 3: High risk-takers (9.3%)). Relative to the cluster 1, membership of higher risk clusters (i.e. moderate or high risk-takers) was strongly associated with older age (p<0.001), being male (p<0.001), depressive symptoms (p = 0.005), school non-attendance (p = 0.001) and a low level of parental monitoring (p<0.001). Conclusion There is clustering of health risk behaviors that underlies communicable and non-communicable diseases among adolescents in rural coastal Kenya. This suggests the urgent need for targeted multi-component health behavior interventions that simultaneously address all aspects of adolescent health and well-being, including the mental health needs of adolescents.

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Section: Introductionmentioning

confidence: 99%

Clustering of health risk behaviors among adolescents in Kilifi, Kenya, a rural Sub-Saharan African setting

et al. 2020

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“…In this study, there was no significant relationship of video gaming or daily video gaming time with DMFT/S, dmft/s, while advanced caries lesions (ICDAS = 5 or 6) were found to be significantly more common in the daily video gamer group. Excessive use of computers (more than 3 h/day) in Polish adolescents (18‐year old) has been reported to be associated with increased frequency of unfilled cavities (according to DMFT), less healthy periodontium and risk of gingival bleeding 26 . Doitchinova et al 27 .…”

Section: Discussionmentioning

confidence: 99%

Video game playing and oral health in school‐age children: A cross‐sectional study in Turkey

Mustuloğlu,

Tezol

2023

J Paediatrics Child Health

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AimThe aim of this study is to evaluate the relationship of video game playing with oral/dental health and harmful oral habits in school‐age children.MethodsThe daily video gamer (n = 77) and occasional video gamer (n = 77) children between 6 and 12 years old were included in the study. A questionnaire inquiring socio‐demographic characteristics, video gaming and abnormal oral habits of the children was filled by parents. The children were examined intraorally and decayed‐missing‐filled tooth, the International Caries Detection and the Assessment‐II System scores, dental plaque and gingival indices were recorded.ResultsOf the children; 42.9% daily video gamers played video games for between 1 and 2 h and 57.1% played for ≥2 h while all of the occasional video gamers spent for between 1 and 2 h on video game per day. The daily video gamer and occasional video gamer children were not different in terms of socio‐demographic characteristics, frequency of having daily tooth brushing habit, using children's toothpaste and having regular dental checkup (P > 0.05). No statistically significant difference was present between the groups in terms of frequencies of abnormal oral habits and having at least one abnormal oral habit (P > 0.05). Severe gingivitis and advanced caries lesions were more common in daily video gamer group (14.2% vs. 3.9%, P = 0.025 and 90.9% vs. 70.9%, P = 0.026, respectively). Daily video gaming time was weakly correlated with plaque index (r = 0.26, n = 77, P = 0.024). Daily video gaming for ≥2 h increased the risk for severe gingivitis (odds (95% confidence interval) = 4.53 (1.07–19.23), P = 0.041) while daily video gaming for between 1 and 2 h decreased the risk for having abnormal oral habit (odds (95% confidence interval) = 0.39 (0.16–0.93), P = 0.034).ConclusionIn school age, daily video gaming may worsen oral and dental health compared with occasional video gaming. Particularly, an excessive video gaming time seems to be associated with poor oral health in school children.

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“…Previous research suggested that excessive computer use was associated with less healthy periodontium, more bleeding on probing, and more untreated decay in permanent teeth among young adults from Poland [20]. However, the study addressed computer use in general and it is not known whether Internet addiction was associated with clinically assessed oral health outcomes [20].…”

Section: Introductionmentioning

confidence: 97%

“…Internet addiction was associated with a low frequency of tooth brushing, avoidance of dental checkups [ 8 , 17 , 18 ], and more self-reported gingival bleeding, tooth pain, and bad breath [ 18 , 19 ]. Previous research suggested that excessive computer use was associated with less healthy periodontium, more bleeding on probing, and more untreated decay in permanent teeth among young adults from Poland [ 20 ]. However, the study addressed computer use in general and it is not known whether Internet addiction was associated with clinically assessed oral health outcomes [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Internet Addiction, Oral Health Practices, Clinical Outcomes, and Self-Perceived Oral Health in Young Saudi Adults

Al‐Ansari

Tantawi

AlMadan

et al. 2020

The Scientific World Journal

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The study assessed the relationship between Internet addiction and oral health practices and clinical outcomes and whether this was affected by oral health perception. In 2017, a cross-sectional study included university students in the Eastern Province of Saudi Arabia. Questionnaires assessed demographic background, oral health practices (consuming sugar, tobacco use, and oral hygiene), perceived oral health, and Internet addiction. Caries experience and gingivitis were assessed using the World Health Organization criteria. The multivariate general linear analysis assessed the relationship between dependent variables (oral health practices, DMFT, and gingivitis) and exposure (Internet addiction). Data were available for 919 participants, 75.4% females, mean age = 19.8 years, and 1.6% with significant Internet use problem. The mean percentage of teeth with gingivitis was 8.5% and mean DMFT was 2.9. Among those with good perception of oral health and compared with participants with significant Internet use problem, average Internet users had lower consumption of sugar and tobacco (B = −6.52, P=0.03 and B = −2.04, P=0.03), better oral hygiene practices (B = 2.07, P=0.33), higher DMFT (B = 2.53, P=0.10), and lesser gingivitis (B = −15.45, P=0.06). Internet addiction was associated with negative oral health practices and poor clinical outcomes among young Saudis. Holistic health promotion approaches need to address the negative impact of Internet addiction on health and oral health status for this at-risk age group.

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Excessive computer use as an oral health risk behaviour in 18‐year‐old youths from Poland: A cross‐sectional study

Cited by 11 publications

References 24 publications

Clustering of health risk behaviors among adolescents in Kilifi, Kenya, a rural Sub-Saharan African setting

Clustering of health risk behaviors among adolescents in Kilifi, Kenya, a rural Sub-Saharan African setting

Video game playing and oral health in school‐age children: A cross‐sectional study in Turkey

Internet Addiction, Oral Health Practices, Clinical Outcomes, and Self-Perceived Oral Health in Young Saudi Adults

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