Adolescent ; Emotions ; Humans ; Screen Time

Child, Preschool ; Humans ; Screen Time

Background: There are various attitudes regarding their child's screen usage. However, there are no existing Filipino-translated and culturally appropriate questionnaires or assessment tools that can measure a child's media exposure, screen use, and parental attitude. The Media Exposure Survey is an assessment tool that measures a child’s media exposure, screen use, and parental attitudes regarding their child’s screen usage. Objectives: The study aims to contextualize and translate the questionnaire into Filipino, determine its content validity and internal consistency, and check the translated questionnaire's compatibility and applicability. Methods: The study involves four steps: 1) content validity testing, 2) forward and backward translation and equivalence, 3) pilot testing of the pre-final version, and 4) reliability resting. Data analysis was done to evaluate the content validity and internal consistency of the questionnaire. Thirty-six parents of children aged 0-5 in Metro Manila pilot tested the tool. Results: A cross-culturally adapted version of the Media Exposure Survey has been produced with good content validity. The S-CVI of the questionnaire is 95%, which is excellent. The parental attitude towards childhood media use subscale has an acceptable internal consistency with a Cronbach's alpha of 0.77. Conclusion The translated and adapted Media Exposure Survey has good content validity and acceptable internal consistency and can be used to assess Filipino children’s media exposure, screen use, and parental attitudes toward media use.
Surveys and Questionnaires ; Screen Time ; Psychometrics

INTRODUCTION: Excessive screen time has been found to be detrimental to a child’s development. Despite its prevalence, there is a dearth of studies relating family dynamics and screen time. This study aimed to determine the association between family dynamics and the length of screen time among preschool children. METHODS: Participants were selected through convenience sampling and interviewed using the Family APGAR questionnaire. Families were classified as functional or dysfunctional. The adult respondents estimated the total screen time and this was classified as low-level or excessive. The association between screen time and APGAR classification was determined using prevalence rate ratio. RESULTS: Majority of 115 families had an APGAR classification of highly functional, with the children having an average screen time of five hours. Children from dysfunctional families were 1.23 times more likely to have an excessive amount of screen time than those with highly functional families and the difference was significant (p = 0.041). CONCLUSION Majority of the families in this study were highly functional and the average screen time of the children included in the study was five hours. Children from dysfunctional families were 1.23 times more likely to have an excessive amount of screen time than those with highly functional families.
child, preschool ; child ; Child development ; screen time ; family relations ;

Objective: To understand the associations between internet addiction, screen time (computer/mobile devices use and television watching time) and depressive symptoms in adults. Methods: A total of 6 932 adults aged <60 years from the Tianjin Chronic Low-grade Sgstemic Inflammation and Health (TCLSIH) Cohort of 2013-2019 were surveyed. The information about their computer/mobile devices use and television watching time were collected by using a self-reported questionnaire. The depressive symptoms were assessed using the self-rating depression scale (SDS). The adults surveyed were divided into two groups: non-depressive symptom group (SDS score <45) and depressive symptom group (SDS score ≥45). The associations between internet addiction, screen time and depressive symptoms were estimated using Cox proportional hazard regression models, with adjusting for multiple confounders. Results: After adjusting for confounding factors, the hazard ratios (HRs) of depressive symptom in the adults who had internet addiction before, had light internet addiction and had moderate or severe internet addiction were 0.83 (95%CI: 0.56-1.23) , 1.20 (95%CI: 1.03-1.41) for light and 1.48 (95%CI: 1.16-1.89), respectively, compared with those without internet addiction. The linear trend test results of the association between internet addiction and depressive symptoms was significant (trend P<0.001). Compared with the adults who used computer/mobile devices for <1 hour/day, the HRs of depressive symptoms in those who used computer/mobile devices for >1 hour, >3 hours, >5 hours and >10 hours were 0.59 (95%CI: 0.40-0.88), 0.58 (95%CI: 0.40-0.85), 0.52 (95%CI: 0.36-0.76) and 0.69 (95%CI: 0.45-1.05) respectively, a U-shaped association was found between computer/mobile devices use time and depressive symptoms (trend P<0.001). Compared with the adults who never watch TV, the HR of depressive symptoms was 1.36 (95%CI:1.09-1.69) for those watching TV for ≥3 hours/day in crude model and 1.34 (95%CI: 1.07-1.68) for those watching TV for ≥3 hours/day in adjusted model (trend P<0.001). Conclusion: Our findings suggested that internet addiction and television watching time were associated with an increased risk of depressive symptoms, while computer/mobile device use time was associated with a reduced risk of depressive symptoms.
Adult ; Humans ; Screen Time ; Internet Addiction Disorder ; Self Report

Objective: To evaluate the effects of sedentary behavior/screen time on mental health of college students by Meta-analysis based on the results of literature retrieval and provide theoretical basis for the improvement of college students' mental health. Methods: The original research literatures about sedentary behavior (including screen time) and college students' mental health published as of 14 July 2022 were retrieved from PubMed, Embase, Cochrane Library, CNKI, VIP and Wanfang data. Data were extracted from the included studies and scored by one author in accordance with the proposed programme, and quality score was reviewed by another author. The literature that met the inclusion criteria was systematically reviewed and Meta-analysis was carried out by software Stata 14.2 based on the data from the literatures. Results: A total of 36 studies met the inclusion criteria, including 35 observational studies and 1 interventional study. There are 4 papers about the effects of sedentary behavior and 9 papers about the effects of screening time on depression in college students and 4 papers about the effects of sedentary behavior/screening time on anxiety in college students were used for a Meta-analysis, and the other studies were also analyzed. The Meta-analysis on the effects of sedentary behavior on depression in college students showed that there was a significant positive correlation between higher level sedentary behavior and increased risk for depression (OR=1.07,95%CI:1.05-1.10). Subgroup analysis indicated that there was no significant correlation between higher level sedentary behavior and depression (OR=1.74, 95%CI:0.93-3.25) in the unadjusted confounding factor model, but there was significance positive correlation after adjusting confounding factors (OR=2.15, 95%CI:1.18-3.90). Meta-analysis on the effects of screen time on depression in college students showed that longer screen time were significantly positively correlated with higher depression level (OR=1.03, 95%CI: 1.02-1.05). The results of subgroup analysis showed that in both unadjusted confounding factor model and adjusted confounding factor model, longer screen time was significantly positively correlated with depression (OR=1.27, 95%CI: 1.13-1.42; OR=1.45, 95%CI: 1.18-1.79) , respectively. Meta-analysis on the effects of sedentary behavior on anxiety showed that longer screen time was significantly positively correlated with increased anxiety risk (OR=1.44, 95%CI: 1.31-1.58). The results of subgroup analysis showed that in both unadjusted confounding factor model and adjusted confounding factor model, there was a significant positive correlation between longer screen time and anxiety (OR=1.47, 95%CI: 1.31-1.65; OR=1.38, 95%CI:1.17-1.62). The analysis for the literatures which were not eligible for Meta-analysis found that sedentary behavior/screen time was significantly associated with stress and other mental health in college students. Conclusions: Sedentary behavior or screen time is significantly negatively correlated with college students' mental health, in particular, resulting in depression and anxiety. These effects might be be different between weekdays and weekend days.
Humans ; Mental Health ; Depression/diagnosis* ; Sedentary Behavior ; Screen Time ; Students/psychology*

The behavioral problems of children and adolescents are becoming more and more serious, and the prevalence rate is increasing year by year. The overall trend is increasing, which has become one of the important public health issues of global concern. There are many influencing factors for behavioral problems in children and adolescents, including genetic, psychosocial, family and early life environment. Among them, maternal screen exposure during pregnancy is a contributing factor that deserves attention and has practical intervention significance. This study systematically evaluated the association between maternal mobile phone screen time during pregnancy and children's internalizing and externalizing behavioral problems, its potential biological mechanisms and relevant intervention measures, in order to create a good intrauterine environment for fetal neurodevelopment and further reduce the occurrence of children's behavioral problems.
Adolescent ; Child ; Female ; Pregnancy ; Humans ; Problem Behavior ; Screen Time ; Cell Phone ; Family ; Maternal Exposure

The behavioral problems of children and adolescents are becoming more and more serious, and the prevalence rate is increasing year by year. The overall trend is increasing, which has become one of the important public health issues of global concern. There are many influencing factors for behavioral problems in children and adolescents, including genetic, psychosocial, family and early life environment. Among them, maternal screen exposure during pregnancy is a contributing factor that deserves attention and has practical intervention significance. This study systematically evaluated the association between maternal mobile phone screen time during pregnancy and children's internalizing and externalizing behavioral problems, its potential biological mechanisms and relevant intervention measures, in order to create a good intrauterine environment for fetal neurodevelopment and further reduce the occurrence of children's behavioral problems.
Adolescent ; Child ; Female ; Pregnancy ; Humans ; Problem Behavior ; Screen Time ; Cell Phone ; Family ; Maternal Exposure

BACKGROUND: Previous studies have suggested that screen time (ST) has a negative effect on children's emotional and behavioral health, but there are few longitudinal studies that have been conducted with infants and toddlers. This study sought to examine the effect of ST in early childhood on emotional and behavioral problems in children aged 4 years, based on a birth cohort study in China. METHODS: A total of 2492 children aged 4 years were enrolled in this study. The parents and guardians of each child completed a questionnaire that included items eliciting information on children's birth information, socio-demographic information at baseline, and ST at each follow-up. Emotional and behavioral problems were assessed using the Strengths and Difficulties Questionnaire (SDQ) at 4 years of age. Multivariate logistic analysis was used to explore the effects of ST on emotional and behavioral problems. RESULTS: The percentages of children with ST > 0 h/day at age 0.5 years, ST > 2 h/day at age 2.5 years, and ST > 2 h/day at age 4 years were 45.7, 55.5, and 34.5% respectively. The prevalence of emotional and behavioral problems was 10.8%. ST at 6 months was a risk factor for emotional symptoms and hyperactivity at the age of 4 years. ST at age 2.5 years was a risk factor for hyperactivity at the age of 4 years. However, ST at age 4 years was a risk factor for total difficulties, conduct problems, peer problems, hyperactivity, and prosocial behavior. CONCLUSIONS Higher ST exposure at early childhood is associated with later emotional and behavioral problems. In particular, sustained high ST exposure is a risk factor for behavioral problems. These findings suggested the importance of controlling ST to prevent the occurrence of emotional and behavioral problems in the early years.
Altruism ; Child, Preschool ; China/epidemiology* ; Cohort Studies ; Emotions ; Female ; Humans ; Male ; Prevalence ; Problem Behavior/psychology* ; Psychomotor Agitation/psychology* ; Screen Time

OBJECTIVES: The prevalence rate of sleep problems in children in China is increasing in recent years. There are inconsistencies in the relationship between physical activity and sleep, and the impact of screen time on young children seems more obvious.This study aims to understand the current situation of outdoor activity time, screen time and sleep (total sleep duration, bedtime, and wake-up time) and the associations between outdoor activity time and screen time with sleep for children aged 36-54 months in Kaifu District of Changsha. METHODS: Using the cluster sampling method, 1 286 newborns delivered in 3 community health service centers in Kaifu District, Changsha from January to December 2015 were selected as the research subjects to establish a prospective birth cohort. According self-designed questionnaire and household follow-up to select 36, 42, 48, 54 months Children's data. The mixed linear model was used to explore the associations of outdoor activity time and screen time with sleep. RESULTS: The 36-54 months children's total sleep duration was decreased from 11.60 h/d to 10.92 h/d (P<0.001); bedtime time delayed from 21:58 to 22:00 (P=0.124); wake-up time advanced from 7:52 to 7:37 (P<0.001); outdoor activity time was decreased from 2.58 h/d to 1.94 h/d (P<0.001), and screen time was decreased from 1.28 h/d to 1.09 h/d (P<0.001). With aging, the prevalence of sleep <10 h/d and outdoor activity time <2 h/d was increased significantly, and the prevalence of screen time ≥1 h/d was decreased (P<0.05). Mixed linear models showed that longer outdoor activity time was related to increased total sleep duration (β=0.22, 95% CI 0.00 to 0.44) and delayed wake-up time (β=0.16, 95% CI 0.00 to 0.32), and longer screen time was related to delayed bedtime (β=0.22, 95% CI 0.05 to 0.39) and wake-up time (β=0.24, 95% CI 0.08 to 0.41). These associations were different in gender. Longer outdoor activity time was related to delayed wake-up time (β=0.37, 95% CI 0.14 to 0.59) in boys, but not in girls (β=-0.16, 95% CI -0.33 to 0.01). Longer screen time was associated with delayed bedtime (β=0.40, 95% CI 0.09 to 0.63) and wake-up time (β=0.33, 95% CI 0.15 to 0.51) in girls, but only related to delayed wake-up time (β=0.29, 95% CI 0.06 to 0.52) in boys, and the degree of association was lower than that of girls. CONCLUSIONS Among children aged 36-54 months in Kaifu District, Changsha, there are problems including going to bed late and getting up late, insufficient physical activity, and long screen time. Outdoor activity time and screen time are related to sleep. Increasing outdoor activity time and reducing screen time can help to improve children's sleep.
Infant, Newborn ; Male ; Child ; Female ; Humans ; Child, Preschool ; Screen Time ; Cohort Studies ; Birth Cohort ; Prospective Studies ; Sleep