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Prevalence and Determinants of Excessive Screen Viewing Time in Children Aged 3-15 Years and Its Effects on Physical Activity, Sleep, Eye Symptoms and Headache.

ABSTRACT: Screen viewing time is the total time spent by a child on any digital/electronic device. The objective of the present study was to determine the prevalence and predictors of excessive screen viewing time in children in Ujjain, India. This cross-sectional, community-based study was conducted through a house-to-house survey using the three-stage cluster sampling method in 36 urban wards and 36 villages of Ujjain District, India. Excessive screen viewing time was defined as screen viewing for >2 h/day. The prevalence of excessive screen viewing time was 18%. Risk factors identified using the multivariate logistic regression model were age (OR: 1.63, p < 0.001); mobile phone use before bedtime (OR: 3.35, p = 0.004); parents' perception about the child's habituation to screen time (OR: 8.46, p < 0.001); television in the bedroom (OR: 35.91, p < 0.001); morning mobile screen viewing time (OR: 6.40, p < 0.001); not reading books other than textbooks (OR: 6.45, p < 0.001); and lack of outdoor play for >2 h (OR: 5.17, p < 0.001). The presence of eye pain was a protective factor for excessive screen viewing time (OR: 0.13, p = 0.012). This study identified multiple modifiable risk factors for excessive screen viewing time.

SUBMITTER: Jain S

PROVIDER: S-EPMC9958787 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Prevalence and Determinants of Excessive Screen Viewing Time in Children Aged 3-15 Years and Its Effects on Physical Activity, Sleep, Eye Symptoms and Headache.

Jain Shilpa S Shrivastava Shreya S Mathur Aditya A Pathak Deepali D Pathak Ashish A

International journal of environmental research and public health 20230216 4

Screen viewing time is the total time spent by a child on any digital/electronic device. The objective of the present study was to determine the prevalence and predictors of excessive screen viewing time in children in Ujjain, India. This cross-sectional, community-based study was conducted through a house-to-house survey using the three-stage cluster sampling method in 36 urban wards and 36 villages of Ujjain District, India. Excessive screen viewing time was defined as screen viewing for >2 h/ ...[more]

PMID: 36834144

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Project description:BackgroundFew studies have investigated the association between screen viewing (SV) and sleep duration among young children. This study aims to examine the association between total and device-specific SV and sleep duration among children aged 2 and below.MethodsWe conducted a cross-sectional study of 714 Singaporean children aged 2 years and below. Parents were recruited during routine well-child clinic visits from two national polyclinics. In Singapore, all parents visit well-child clinics with their children at regular intervals for routine check-ups and vaccinations. Socio-demographic characteristics, duration of total and device-specific SV, and sleep duration were reported by parents via interviewer-administered questionnaires. Multiple linear regression analysis was used to assess associations between various types of SV and sleep duration, adjusted for socio-demographic variables. Due to significant interaction between SV and age, stratified analyses for children aged less than 6 months and those aged 7-24 months were performed.ResultsThe prevalence of daily SV among children was 53.1%; 28.3% in children up to 6 months and 73.8% in children aged 7 to 24 months. TV viewing was reported for 44.3% of all children and mobile device SV for 30.1%. Children's average sleep duration was 13.9 (SD = 3.5) hours daily and younger children had longer sleep duration than older ones (up to 6 months: mean = 15.6 h, SD = 3.9; 7-24 months: mean = 12.4 h, SD = 2.2; P < 0.01). In the regression analysis among all children, each 1 h per day increment in total SV was significantly associated with 0.26 h shorter sleep duration with similar significant associations for TV (β = - 0.28 h, 95%CI: -0.50, - 0.06) and mobile devices (β = - 0.35 h, 95%CI: -0.61, - 0.09). Stratified analysis revealed significantly greater reductions in sleep with higher SV among children aged 6 months and below (β = - 0.73 h, 95%CI: -1.12, - 0.34), while associations were weaker in older children (β = - 0.13 h, 95% CI: -0.24, - 0.01).ConclusionsThis study provides evidence for a substantial association between longer SV and shorter sleep duration among very young children. These associations appeared stronger among children aged 6 months and below as compared with those aged 7 to 24 months. Further studies are warranted to confirm our findings.

Project description:Background:The United Nation's Sustainable Development Goal number 3 aims at reducing the maternal mortality rate by less than 70/100,000 live births globally and 216/100,000 live births in developing regions by 2030. Despite several interventions in Tanzania, maternal mortality has increased from 454/100,000 live births in 2010 to 556/100,000 live births in 2015. Home delivery and maternal young age contribute to maternal deaths. Reducing home deliveries among women aged 15-24 years may likely decrease the prevalence of maternal deaths in Tanzania. This study investigated the determinants of home delivery among women aged 15- 24 years in rural and mainland districts of Tanzania. Methods:This study uses a mixed-methods approach using data collected as part of the evaluation of government and UNICEF interventions in 13 districts of Tanzania mainland from October and November 2011. Results from the secondary analysis were supplemented by qualitative data collected between February and April 2019 from four rural districts: Bagamoyo, Tandahimba, Magu, and Moshi. Results:A total of 409 adolescents and young women who delivered one year before the quantitative data collection were included in the final analysis. A quarter of them gave birth at home. Having at least four antenatal care (ANC) visits (OR=0.23, 95% CI: 0.12-0.41, p<0.01), planning place of delivery (OR=0.22, 95% CI: 0.14-0.36 p<0.01), and knowledge of the danger signs during pregnancy (OR=0.36, 95% CI: 0.22-0.57, p<0.01) were significantly associated with the place of delivery. Conclusion and Global Health Implications:Maternal level of education, number of ANC visits attended, planned place of delivery, and knowledge of danger signs during pregnancy were the determinants of the choice of place of delivery among women aged 15-24 years in Tanzania. Understanding these risk factors is important in designing programs and interventions to reduce maternal deaths from women of this age group which contributes about 18% of all maternal deaths in Tanzania.

Project description:Sleep and its sub-states are assumed to be important for brain function across the lifespan but which aspects of sleep associate with various aspects of cognition, mood and self-reported sleep quality has not yet been established in detail. Sleep was quantified by polysomnography, quantitative Electroencephalogram (EEG) analysis and self-report in 206 healthy men and women, aged 20-84 years, without sleep complaints. Waking brain function was quantified by five assessments scheduled across the day covering objectively assessed performance across cognitive domains including sustained attention and arousal, decision and response time, motor and sequence control, working memory, and executive function as well as self-reports of alertness, mood and affect. Controlled for age and sex, self-reported sleep quality was negatively associated with number of awakenings and positively associated with the duration of Rapid Eye Movement (REM) sleep, but no significant associations with Slow Wave Sleep (SWS) measures were observed. Controlling only for age showed that associations between objective and subjective sleep quality were much stronger in women than in men. Analysis of 51 performance measures demonstrated that, after controlling for age and sex, fewer awakenings and more REM sleep were associated significantly with better performance on the Goal Neglect task, which is a test of executive function. Factor analysis of the individual performance measures identified four latent variables labeled Mood/Arousal, Response Time, Accuracy, and Visual Perceptual Sensitivity. Whereas Mood/Arousal improved with age, Response Times became slower, while Accuracy and Visual perceptual sensitivity showed little change with age. After controlling for sex and age, nominally significant association between sleep and factor scores were observed such that Response Times were faster with more SWS, and Accuracy was reduced where individuals woke more often or had less REM sleep. These data identify a positive contribution of SWS to processing speed and in particular highlight the importance of sleep continuity and REM sleep for subjective sleep quality and performance accuracy across the adult lifespan. These findings warrant further investigation of the contribution of sleep continuity and REM sleep to brain function.

Dataset Information

Prevalence and Determinants of Excessive Screen Viewing Time in Children Aged 3-15 Years and Its Effects on Physical Activity, Sleep, Eye Symptoms and Headache.

Publications

Prevalence and Determinants of Excessive Screen Viewing Time in Children Aged 3-15 Years and Its Effects on Physical Activity, Sleep, Eye Symptoms and Headache.

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