scholarly journals 0333 Electronic Media Use is Associated with Poor Sleep In 3-6 Year-Old Children

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A126-A127
Author(s):  
S Wong ◽  
L E Hartstein ◽  
M K LeBourgeois

Abstract Introduction Recent surveys estimate that electronic media use among young children is increasing and that behavioral sleep problems are prevalent. In this study, we employed assessments of sleep and media use and tested the hypothesis that poor sleeping children would be more likely to engage with media than good sleeping children. Methods Participants were 44 children from two different cohorts: (1) Healthy, good sleepers (n=26, 13 males, 4.3±0.4 years) who reportedly obtained ≥10.5 hours per night and had no behavioral sleep problems and (2) Poor sleepers (n=18, 9 males, 5.5±0.7 years) who reportedly obtained chronic insufficient sleep ≤9 hours per night and/or had behavioral sleep problems for ≥6 months. Sleep duration and sleep onset latency (SOL) were quantified through 7 nights of actigraphy and verified with sleep diaries. Media use, defined as any electronic device involving screen time that engages children, was assessed across 2 weekdays and 2 weekend days through a parental media diary. Independent t-tests compared the duration of media use and actigraphy variables between groups. Results Poor sleeping children on average had longer SOL (28.6±17.9 vs. 17.3±8.66 minutes, t=-2.5, p<0.05) and shorter sleep duration (589.6±37.5 vs. 627.4±27.4 minutes, t=3.7, p<0.01) compared to good sleeping children. Additionally, average daily media use (125.1±88.5 vs. 66.5±48.3 minutes, t=-2.6, p<0.05), evening media use (22.0±21.3 vs. 4.2±10.4 minutes, t=-3.3, p<0.01), and weekend media use (154.4±105.9 vs. 79.8±55.6 minutes, t=-2.7, p<0.05) duration was higher in poor than good sleepers. Conclusion Our findings indicate that media use duration and timing likely play an important role in early childhood sleep health. Young children who use more evening media are more likely to take longer to fall asleep and have shorter sleep duration overall. Time displacement (time spent using media instead of sleeping), psychological stimulation, and the effects of screen light on circadian timing are potential mechanisms underlying these associations. Support NIH R01-MH086566 and R21-MH110765 to MKL

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lisbeth Lund ◽  
Ida Nielsen Sølvhøj ◽  
Dina Danielsen ◽  
Susan Andersen

Abstract Background Sleep is essential for child and adolescent health and well-being. There is an increasing interest in whether electronic media use affects children and young adolescents’ sleep. Prior reviews have focused on a school-aged population. Moreover, it is crucial that research continuously addresses the processes of technology and media use and the implication on sleep. This systematic review examines the evidence of electronic media use related to sleep among 0–15-year-olds. Methods Searches were carried out in four databases (CINAHL, Web of Science, EMBASE, and Medline). Inclusion criteria included age ≤ 15 years, and intervention, cohort, or cross-sectional studies from western countries. Methodological quality was rated using the Quality Assessment Tool for Quantitative Studies by two independent reviewers. Data was extracted using a standardized data extraction form. Synthesis was done by summarizing results across studies by age groups of 0–5, 6–12, and 13–15 years within four sleep domains: Bedtime and sleep onset; Sleep quality; Sleep duration; Daytime tiredness. Results The search identified 10,719 unique studies, of which 109 fulfilled inclusion and exclusion criteria and were assessed for methodological quality. In total, 49 studies were included in the review. The study designs were randomized controlled trials (n = 3), quasi-experimental studies (n = 2), prospective cohort studies (n = 15), and cross-sectional studies (n = 29). Evidence for an association between electronic media use and sleep duration was identified, with stronger evidence for 6–15-years-olds than 0–5-year-olds. The evidence for a relationship between electronic media use and other sleep outcomes was more inconclusive. However, for 6–12-year-old children, there was evidence for associations of electronic media use with delayed bedtime and poor sleep quality. For 13–15-year-olds, there was evidence for associations between screen time and problems falling asleep, and between social media use and poor sleep quality. Conclusions Overall, electronic media use was generally associated with shorter sleep duration in children and adolescents. Studies with stronger research design and of higher quality are needed to draw solid conclusions about electronic media’s impact on other sleep outcomes. Public awareness and interventions could be promoted about the potential negative impact on children’s sleep of electronic media devices that are used excessively and close to bedtime.


2019 ◽  
Vol 60 ◽  
pp. 109-115 ◽  
Author(s):  
Ahuti Das-Friebel ◽  
Nadine Perkinson-Gloor ◽  
Serge Brand ◽  
Julia F. Dewald-Kaufmann ◽  
Alexander Grob ◽  
...  

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Ivan A Samayoa ◽  
Nour Makarem ◽  
Vivian Cao ◽  
Moorea Maguire ◽  
Huaqing Xi ◽  
...  

Introduction: The Healthy Immigrant Effect refers to the phenomenon that recent immigrants are on average healthier than their native-born counterparts. Greater immigrant acculturation to the US has been linked to increased risk of cardiovascular disease (CVD), frequently attributed to factors including the adoption of Western diets and decreased physical activity. While immigrants may have healthier habits than US adults, which may confer protection from CVD, there is little research on sleep health, particularly in immigrant women. Hypothesis: We hypothesized that immigrants, particularly those with greater acculturation, would have more sleep problems. Methods: Baseline data from a 1-y, community-based cohort of 506 women (61% racial/ethnic minority, mean age=37±16y) was used to evaluate cross-sectional associations between acculturation and sleep. Women self-reported their immigration status and national origin. Acculturation was measured from responses to questions regarding language preference, nativity (sorted by regions: Asia, Caribbean, Latin America, other), length of residency in the US, and age at immigration. Sleep duration, sleep quality, risk of obstructive sleep apnea (OSA) and insomnia were assessed using validated questionnaires. Logistic regression models adjusted for age, health insurance, education and BMI were used to evaluate associations between acculturation measures and sleep characteristics. Results: Women who were immigrants (n=176) reported lower mean sleep duration (6.60 ± 1.25 vs. 6.85 ± 1.22 h, p=0.02) compared to non-immigrants (n=323); non-immigrants were more likely than immigrants to sleep ≥7h/night (OR: 1.50, CI: 1.01-2.22, p=0.04). Women who immigrated to the US before vs. after age 25 y had lower odds of having sleep onset latency ≥26 min (OR:0.97, CI:0.95-1.00, p=0.03). Immigrant women living in the US >10y vs. <10y had more than 2-fold higher odds of having longer sleep onset latency (≥26 min) (OR:2.43, CI:1.09-5.41, p=0.03). Immigrants from the Caribbean were more likely than immigrants from other regions to be at a high risk for OSA (OR:2.65, CI:1.07-6.55, p=0.04). Conclusions: Compared to non-immigrants, immigrant women exhibit shorter habitual sleep duration. Sleep problems may vary by age of immigration, years lived in the US, and region of origin, as those who immigrated when they were older and those who had lived in the US>10 y required more time to fall asleep and Caribbean immigrants had higher OSA risk.


2020 ◽  
Vol 31 (7) ◽  
pp. 822-834 ◽  
Author(s):  
Sierra Clifford ◽  
Leah D. Doane ◽  
Reagan Breitenstein ◽  
Kevin J. Grimm ◽  
Kathryn Lemery-Chalfant

Electronic-media use is associated with sleep disruptions in childhood and adolescence, although research relies primarily on subjective sleep. Effortful control, a dimension of self-regulation, may mitigate this association by helping children disengage from and regulate responses to media. We examined associations between media use and multiple actigraph-measured sleep parameters at mean and day levels and tested children’s effortful control as a moderator of mean-level relations. We collected actigraph data and parents’ diary reports of children’s prebedtime television, video-game, laptop, desktop, cell-phone, and tablet use in 547 twin children (7–9 years old; 51.74% female). Mean-level media use was associated with bedtime and sleep duration. For the proportion of nights on which twins used media, but not the average number of media types, effortful control attenuated associations between media use and reduced sleep duration and efficiency. Day-level media use was related only to bedtime. Findings replicate and extend existing research and highlight self-regulation as a potential protective factor.


2015 ◽  
Vol 124 (S1) ◽  
pp. 79-87 ◽  
Author(s):  
Karoline Lange ◽  
Stefan Cohrs ◽  
Christian Skarupke ◽  
Monique Görke ◽  
Bertram Szagun ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Atin Supartini ◽  
Takanori Honda ◽  
Nadzirah A. Basri ◽  
Yuka Haeuchi ◽  
Sanmei Chen ◽  
...  

Aim. The aim of this study was to identify the impact of bedtime, wake time, sleep duration, sleep-onset latency, and sleep quality on depressive symptoms and suicidal ideation amongst Japanese freshmen.Methods. This cross-sectional data was derived from the baseline survey of the Enhancement of Q-University Students Intelligence (EQUSITE) study conducted from May to June, 2010. A total of 2,631 participants were recruited and completed the following self-reported questionnaires: the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiologic Studies Depression Scale (CES-D), and the original Health Support Questionnaires developed by the EQUSITE study research team.Results. Of 1,992 participants eligible for analysis, 25.5% (n=507) reported depressive symptoms (CES-D total score ≥ 16), and 5.8% (n=115) reported suicidal ideation. The present study showed that late bedtime (later than 01:30), sleep-onset latency (≥30 minutes), and poor sleep quality showed a marginally significant association with depressive symptoms. Poor sleep quality was seen to predict suicidal ideation even after adjusting for depressive symptoms.Conclusion. The current study has important implications for the role of bedtime in the prevention of depressive symptoms. Improving sleep quality may prevent the development of depressive symptoms and reduce the likelihood of suicidal ideation.


2013 ◽  
Vol 42 (5) ◽  
pp. 593-604 ◽  
Author(s):  
Neil Smith ◽  
Robert Hill ◽  
Jane Marshall ◽  
Francis Keaney ◽  
Shamil Wanigaratne

Background: Alcohol dependence is known to impact upon sleep, and poor sleep has been shown to affect relapse rates following treatment for alcohol dependence. Aims: The aim of this study was to investigate the association between sleep problems and relapse in dependent drinkers in an inpatient setting. This was done by studying sleep related cognitions in individuals undergoing medically assisted alcohol withdrawal. Method: Sleep and sleep-related cognitions data were collected for 71 individuals undergoing detoxification treatment. Sleep was measured using sleep diaries and actigraph motion monitors. Participants completed sleep-related cognition questionnaires and were subject to telephone follow-up interviews. The results were then used to predict relapse rates 4 weeks after discharge. Results: Longer sleep onset latency recorded on the unit predicted relapse at 4 weeks. Higher dysfunctional beliefs about sleep were found to be associated with lower relapse rates. Conclusions: This study suggests that some dysfunctional beliefs about sleep may support recovery following discharge from treatment. The study further supports the need for tailored cognitive-behavioural treatments for sleep difficulties in this population to reduce relapse rates.


2021 ◽  
Author(s):  
Lisbeth Lund ◽  
Ida Nielsen Sølvhøj ◽  
Dina Danielsen ◽  
Susan Andersen

Abstract Background In recent years, there has been an increasing interest in whether the use of electronic media affects children and young adolescents' sleep. We performed a systematic review of the association between electronic media use and sleep outcomes among 0-15-year-olds.Methods Searches were carried out in four databases (CINAHL, Web of Science, EMBASE, and Medline). Additional studies were identified by hand-searching reference lists of retrieved systematic reviews and meta-analyses. Inclusion criteria were age range from 0 to 15.9 years, in English, and intervention studies, cohort studies, and cross-sectional studies from western countries. Qualitative studies were excluded due to a low number of identified studies. Exclusion criteria were study populations with psychiatric diagnoses, obesity, or any sleep disorder. Results The search identified 10,719 unique studies, of which 108 fulfilled the inclusion and exclusion criteria and were assessed for methodological quality. In total, 49 studies were included in the review. The study designs were randomized controlled trials (n=3), quasi-experimental studies (n=two), prospective cohort studies (n=15), and cross-sectional studies (n=29). Evidence for an association between electronic media use and sleep duration was identified; particularly excessive electronic media use and bedtime use. The evidence was stronger for 6-15-years-olds than 0-5-year-olds. The relationship between electronic media use and other sleep outcomes was more inconclusive. Conclusions Overall, electronic media use was generally associated with shorter sleep duration in children and adolescents aged 0-15. Studies with stronger research design and of higher quality are needed to draw solid conclusions about electronic media’s impact on sleep outcomes and gain better understands of the mechanisms behind the associations. Public awareness and interventions could be promoted about the potential negative impact on children's sleep duration of electronic media devices that are used excessively and close to bedtime.


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