Screen time of children with speech delay: A cross‐sectional study in a tertiary centre in Kuantan, Malaysia

2021 ◽  
Author(s):  
Wei Wei Chong ◽  
Fairuz Nazri Abd Rahman ◽  
Noorul Amilin Harun
Keyword(s):  
Screen Time ◽  
Cross Sectional Study ◽  
Speech Delay ◽  
Sectional Study ◽  
Cross Sectional ◽  
Tertiary Centre

scholarly journals The Associated Factors of Prolonged Screen Time and Using Electronic Devices before Sleep among Elderly People in Shaanxi Province of China: A Cross-Sectional Study

2021 ◽  
Vol 18 (13) ◽  
pp. 7020
Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu
Keyword(s):  
Sleep Quality ◽  
Screen Time ◽  
Odds Ratio ◽  
Associated Factors ◽  
Electronic Devices ◽  
Cross Sectional Study ◽  
Shaanxi Province ◽  
Sectional Study ◽  
Monthly Income ◽  
Cross Sectional

This study aimed to investigate prolonged screen time and using electronic devices before sleep and their associated factors in elderly people in Shaanxi province of China. We conducted a cross-sectional study among 2647 elderly participants aged 60–88 years. Data were collected through questionnaires. Demographic characteristics, screen time, using electronic devices before sleep, health status, lifestyles, sleep quality, and other associated factors were investigated. Logistic regression analysis was used to analyze the relationship between the associated factors of screen time and using electronic devices before sleep. The crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confidence intervals (CI) were calculated. A total of 1784 subjects completed the questionnaire. There were 6.89% participants with prolonged screen time and 13.45% using electronic devices before sleep frequently. Prolonged screen time was associated with personal monthly income (aOR = 1.205, p = 0.001), number of household residents (aOR = 0.860, p = 0.010), rural residents (aOR = 0.617, p = 0.038), and regular drinkers (aOR = 2.889, p < 0.001). Using electronic devices before sleep was associated with being female (aOR = 0.657, p = 0.007), family monthly income (aOR = 0.866, p = 0.002), being an occasional drinker (aOR = 1.891, p = 0.005), and self-reported sleep quality (aOR = 1.593, p = 0.007). In conclusion, several factors related to screen time or using electronic devices before sleep were identified. Only being a drinker was a common associated factor for both screen time and using electronic devices before sleep.

scholarly journals Prevalence and correlates of adherence to movement guidelines among urban and rural children in Mozambique: a cross-sectional study

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Taru Manyanga ◽  
Joel D. Barnes ◽  
Jean-Philippe Chaput ◽  
Peter T. Katzmarzyk ◽  
Antonio Prista ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Screen Time ◽  
Cross Sectional Study ◽  
Rural Children ◽  
Sectional Study ◽  
Cross Sectional ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low Middle Income Countries

Abstract Background Insufficient physical activity, short sleep duration, and excessive recreational screen time are increasing globally. Currently, there are little to no data describing prevalences and correlates of movement behaviours among children in low-middle-income countries. The few available reports do not include both urban and rural respondents, despite the large proportion of rural populations in low-middle-income countries. We compared the prevalence of meeting 24-h movement guidelines and examined correlates of meeting the guidelines in a sample of urban and rural Mozambican schoolchildren. Methods This is cross-sectional study of 9–11 year-old children (n = 683) recruited from 10 urban and 7 rural schools in Mozambique. Moderate- to vigorous-intensity physical activity (MVPA) and sleep duration were measured by waist-worn Actigraph GT3X+ accelerometers. Accelerometers were worn 24 h/day for up to 8 days. Recreational screen time was self-reported. Potential correlates of meeting 24-h movement guidelines were directly measured or obtained from validated items of context-adapted questionnaires. Multilevel multivariable logit models were used to determine the correlates of movement behaviours. Meeting 24-h movement guidelines was defined as ≥60 min/day of MVPA, ≤2 h/day of recreational screen time, and between 9 and 11 h/night of sleep. Results More rural (17.7%) than urban (3.6%) children met all three 24-h movement guidelines. Mean MVPA was lower (82.9 ± 29.5 min/day) among urban than rural children (96.7 ± 31.8 min/day). Rural children had longer sleep duration (8.9 ± 0.7 h/night) and shorter recreational screen time (2.7 ± 1.9 h/day) than their urban counterparts (8.7 ± 0.9 h/night and 5.0 ± 2.3 h/day respectively). Parental education (OR: 0.37; CI: 0.16–0.87), school location (OR: 0.21; CI: 0.09–0.52), and outdoor time (OR: 0.67; CI: 0.53–0.85) were significant correlates of meeting all three 24-h movement guidelines. Conclusions Prevalence and correlates of meeting movement guidelines differed between urban and rural schoolchildren in Mozambique. On average, both groups had higher daily MVPA minutes, shorter sleep duration, and higher recreational screen time than the 24-h movement guidelines recommend. These findings (e.g., higher than recommended mean daily MVPA minutes) differ from those from high-income countries and highlight the need to sample from both urban and rural areas.

scholarly journals Prevalence of high screen time and associated factors among students: a cross-sectional study in Zhejiang, China

BMJ Open ◽  
2018 ◽  
Vol 8 (6) ◽  
pp. e021493 ◽  
Author(s):  
Hao Wang ◽  
Jieming Zhong ◽  
Ruying Hu ◽  
Bragg Fiona ◽  
Min Yu ◽  
...  
Keyword(s):  
Screen Time ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Predictors of Parental Barriers to Reduce Excessive Child’s Screen Time Among Parents of Children Under Five Years of Age in Selangor: A Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Elliza Mansor ◽  
Norliza Ahmad ◽  
Nor Afiah Mohd. Zulkefli
Keyword(s):  
Young Children ◽  
Screen Time ◽  
Parental Attitudes ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Parental Attitude ◽  
Cross Sectional ◽  
Children Under Five ◽  
Under Five ◽  
Parental Barriers

BACKGROUND Globally, there is an increasing prevalence of excessive screen time exposure among young children, including Malaysia. Parents are advised to limit this exposure but there are barriers for many of them to follow this recommendation. To date, there is a lack of studies on the factors that cause these parental barriers. OBJECTIVE This study aimed to determine the parental barrier towards the reduction of excessive child’s screen time and its predictors among parents of children under five years old in Petaling District, Selangor. METHODS A cross-sectional study was conducted from April 2019 to June 2020 among 789 parent-child dyads attending child health clinics in Petaling District, Selangor. Validated self-administered questionnaires were used to capture information on sociodemographic factors, parental influences, child-related factors, environmental factors, and parental barriers. Stratified sampling with probability proportionate to size was employed. Data were analysed with IBM SPSS version 25. Descriptive analysis and bivariate analysis were performed before multiple linear regression was used to identify the predictors of parental barriers. RESULTS The overall mean score of parental barriers was 3.51 ± 0.83, indicating that the average numbers of barriers experienced by parents were more than three. The multivariate analysis showed that the predictors of parental barriers included monthly household income (adjusted β: -0.031, 95% CI: -0.048 to -0.015), parents who worked in public sectors (adjusted β: 0.178, 95% CI: 0.063 to 0.292), positive parental attitude on screens (adjusted β: 0.684, 95% CI: 0.576 to 0.793), parents’ low self-efficacy to influence child’s physical activity (adjusted β: -0.318, 95% CI: -0.432 to -0.204), and child’s screen time (adjusted β: 0.042, 95% CI: 0.024 to 0.061). CONCLUSIONS The strongest predictor of the parental barriers to reduce excessive child’s screen time was the positive parental attitude on screen time. Thus, future intervention strategies should aim to foster correct parental attitudes towards screen time activities among young children.

scholarly journals Cross-sectional study on prevalence and consequences of screen time on physical and mental health in children in the era of COVID-19

2022 ◽  
Vol 13 (1) ◽  
pp. 19-24
Author(s):  
Neha Thakur (Rai) ◽  
Arvind Kumar Singh ◽  
Narendra Rai ◽  
Devesh Kumar Shukla
Keyword(s):  
Digital Media ◽  
Screen Time ◽  
Age Of Onset ◽  
Negative Impact ◽  
Cross Sectional Study ◽  
Developing Nations ◽  
Sectional Study ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
The Impact

Background: With the ongoing growth and expansion of digital media and COVID-19 pandemic, children are inclining more and more toward spending time on digital media as compared to outdoor sports, leading to poor physical and mental growth. Developed nations have already set up a screen time guideline which is yet to be established in developing nations. This study was conducted with the objectives of identifying the needs of screen time guidelines and to study the impact of screen time on mental and physical health in children. Aims and Objectives: This study aims to check the screen time in children aged 2–18 and find the health consequences both physical and psychological in those children. Materials and Methods: A cross-sectional study on children aged 2–18 years was conducted between 2019 and 2020. Parents were asked to fill a pre-structured questionnaire. Impact on health physical and mental were assessed by pediatrician and psychologist. Results: A total of 155 children were enrolled in the study. Mean child hours in children aged 2–5 years, 5–10 years, and 10–18 years were 4 h, 5.83 h, and 6.29 h on week days and 5.64 h, 5.76 h, and 7.69 h on weekends, respectively. More than one-third of children had age of onset of screen time below 2 years of age. About 70% of children had malnutrition. Only 18% of parents were aware of concept of screen free days. Screen time had negative impact on health (P=0.0001) and on behavior of child (P=0.001). Average increase in screen time during COVID-19 was nearly 3 times the pre-COVID era. Conclusion: This study has paved the way for the need of larger study and development of guidelines on impact of screen time on children in developing nations where screen time guidelines is yet to be set more so in era of COVID 19 pandemic.

Screen time exposure and reporting of headaches in young adults: A cross-sectional study

Cephalalgia ◽  
2016 ◽  
Vol 36 (11) ◽  
pp. 1020-1027 ◽  
Author(s):  
Ilaria Montagni ◽  
Elie Guichard ◽  
Claire Carpenet ◽  
Christophe Tzourio ◽  
Tobias Kurth
Keyword(s):  
Young Adults ◽  
Screen Time ◽  
Migraine Headache ◽  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Time Exposure ◽  
Increased Risk

Objective The objective of this article is to investigate whether excessive screen time exposure is associated with non-migraine headache and migraine in young adults. Background Increased levels of television time have been associated with increased risk of headache. However, time spent using newer electronic devices with a screen (smartphone, tablet) has not been examined yet. Methods We conducted a cross-sectional study among 4927 participants of the French i-Share cohort. Demographic characteristics, screen time exposure (computers, tablets, smartphones and television) as well as headache/migraine symptoms were recorded in a standardized questionnaire. Multinomial logistic regression models were used to evaluate the association between screen time exposure and headache status. Results Participants had a mean age of 20.8 years and 75.5% were female. The multivariable model showed that students in the highest screen time exposure quintile had an increased risk for migraine. The odds ratio (OR) (95% confidence interval (CI)) was 1.37 (1.14 to 1.66) for migraine when compared with students without headache and with low screen time exposure. This association was somewhat stronger for migraine without aura (OR = 1.50, 95% CI 1.19 to 1.89). We found no significant association between screen time exposure and non-migraine headache. Conclusion High levels of screen time exposure are associated with migraine in young adults. No significant association was found with non-migraine headache.

scholarly journals Recreational Screen-Time Among Chinese Adolescents: A Cross-Sectional Study

2014 ◽  
Vol 24 (5) ◽  
pp. 397-403 ◽  
Author(s):  
Xiao-Xiao Jiang ◽  
Louise L. Hardy ◽  
Ding Ding ◽  
Louise A. Baur ◽  
Hui-Jing Shi
Keyword(s):  
Screen Time ◽  
Cross Sectional Study ◽  
Chinese Adolescents ◽  
Sectional Study ◽  
Cross Sectional
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