BACKGROUND: Changes in socioeconomic inequalities in health behaviours following the COVID-19 pandemic remain unknown, particularly among Japanese school-aged adolescents. Therefore, in this study, we examined changes in socioeconomic inequalities in school-aged adolescents' health behaviours, including physical activity (PA), screen time (ST), sleep duration, breakfast consumption, and bowel movement frequency, before and after the pandemic. METHODS: This three-wave repeated cross-sectional study utilised data from the 2019, 2021, and 2023 National Sports-Life Survey of Children and Young People in Japan, analysing data from 766, 725, and 604 participants aged 12-18 years, respectively. Favourable health behaviours were defined as moderate-to-vigorous PA of ≥60 min/day, ST <2 h/day, sleep duration of 8-10 h, daily breakfast consumption, and bowel movements at least every 3 days. Absolute and relative socioeconomic inequalities were quantified using the slope index of inequality (SII) and the relative index of inequality (RII). Temporal changes were analysed using quadratic trend analyses, employing interaction terms between socioeconomic status and survey year. RESULTS: Significant quadratic trends indicated that socioeconomic inequalities in breakfast consumption decreased substantially from 2019 (SII: 20.7%, RII: 5.09) to 2021 (SII: -0.1%, RII: 0.95) but resurged in 2023 (SII: 16.2%, RII: 3.70). This resurgence may have been primarily driven by changes among those in the moderately low-income (poverty level II) and higher-income groups, which had a breakfast consumption rate of 81.0, 87.0, and 76.4% in 2019, 2021, and 2023, and 88.7, 82.1, and 87.5%, respectively. Among low-income households, adherence to PA recommendations significantly declined from 18.6% to 5.3%, and ST adherence worsened over the study period. No significant inequalities or trends were observed for sleep duration or bowel movement frequency across survey years. CONCLUSIONS Socioeconomic disparities in breakfast consumption among Japanese school-aged adolescents resurfaced after initially narrowing during the pandemic, likely driven by changes in moderately low-income and higher-income groups. Among low-income households, adherence to PA and ST guidelines declined over time. However, at the population level, socioeconomic inequalities in PA did not exhibit a consistent trend of widening or narrowing. This study highlights the need for sustained public health initiatives to address these socioeconomic disparities.
Adolescent ; Child ; Female ; Humans ; Male ; Breakfast ; COVID-19/psychology* ; Cross-Sectional Studies ; Exercise ; Health Behavior ; Japan/epidemiology* ; Screen Time ; Sleep ; Socioeconomic Factors ; East Asian People

BACKGROUND: Chronic constipation is a long-term problem that decreases children's quality of life. Information and communication technology devices have developed rapidly in recent decades and have had various impacts on children. This prospective cohort study examined the association between television/digital versatile disc (TV/DVD) screen exposure time at age 1 and the risk of chronic constipation at age 3. METHODS: Data from 63,697 infants in the Japan Environment and Children's Study (JECS) were analyzed. We divided participants into five groups according to TV/DVD exposure time per day: no exposure (0 h), short exposure (<1 h), middle exposure (1.0-<2.0 h), long exposure (2.0-<4.0 h), and very long exposure (≥4 h). Logistic regression analysis was performed to assess the association between TV/DVD exposure time and the risk of constipation. For logistic regression analysis, odds ratios (ORs) were adjusted for sex, parents' education, household income, nursery school, feeding contents, and obesity. The interaction between the sexes was also examined. RESULTS: The prevalence of constipation for males, females, and all participants at age 3 was 9.3, 11.0, and 10.1%, respectively. The TV/DVD screen time distribution per day at age 1 was 10.6% for none, 34.1% for short, 29.9% for middle, 19.2% for long, and 6.2% for the very long exposure group. After adjusting for confounding factors, a dose-response pattern was identified between TV/DVD exposure time and constipation in all participants (p for trend < 0.001). The adjusted ORs increased progressively in the short (OR 1.15, 95% confidence interval [CI] 1.04-1.27), middle (OR 1.22, 95% CI 1.11-1.35), long (OR 1.37, 95% CI 1.24-1.52), and very long exposure groups (OR 1.53, 95% CI 1.35-1.74). This association was not significantly different between the sexes (p for interaction = 0.36). CONCLUSIONS Longer TV/DVD exposure time at age 1 was associated with the risk of chronic constipation at age 3. Excessive screen exposure may need to be avoided from infancy to decrease the risk of chronic constipation in later years.
Humans ; Constipation/etiology* ; Male ; Female ; Japan/epidemiology* ; Television/statistics & numerical data* ; Child, Preschool ; Infant ; Screen Time ; Prospective Studies ; Risk Factors ; Chronic Disease/epidemiology* ; Prevalence

BACKGROUND: Long screen time hours may be associated with behavioral problems in children. To better understand the relationship between children's behavioral problems and screen time, it the associated risk factors must be subdivided based on the purpose underlying screen use. This study examined the relationship between screen time based on intended usage and behavioral problems in Japan. METHODS: This study included 3,332 children aged between 7-17 years from the Hokkaido Study on Environment and Children's Health. From October 2020 to October 2021, the children and their parents answered questionnaires on the children's screen use duration (never used, <30 min, ≥30 min & <1 hour, ≥1 h & <2 h, ≥2 h) based on seven intended usage categories: watching television/video, video gaming, reading books/comics, sending/receiving e-mail/messages, browsing/posting on social networking services, studying for classes/homework, drawing/editing pictures/photos/videos, along with the Strengths and Difficulties Questionnaire (SDQ). Logistic regression was used to analyze the association between screen time, purpose of children's screen use, and behavioral problems across the 13 SDQ total scores. RESULTS: The mean ± standard deviation age of the participants was 12.4 ± 2.4-years-old, 487 (14.6%) children were determined to have behavioral problems, and the duration of screen time increased with their age. The children's primary purposes for screen use were watching television/video, video gaming, sending/receiving e-mail/messages, and browsing/posting on social networking services. Children who reported playing video games for ≥2 hours on weekdays had higher odds of problematic total difficulties scores than never user (Odds Ratio: 2.10, 95% confidence interval: 1.45-3.06). CONCLUSION Long video gaming screen time is associated with behavioral issues, hyperactivity/inattention, and prosocial behaviors in children. Conversely, watching television and videos for 30 min-1 h per day, using e-mail or messaging, and using social networking services were significantly association with reduced odds ratio for peer relationship problems as compared to children who never engaged in these activities. Longitudinal follow-up is needed to further examine screen time and problem behaviors.
Humans ; Screen Time ; Child ; Japan/epidemiology* ; Male ; Female ; Adolescent ; Problem Behavior/psychology* ; Surveys and Questionnaires ; Child Behavior ; Television/statistics & numerical data* ; Video Games/statistics & numerical data*

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

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*

Child, Preschool ; Humans ; Screen Time

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

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

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