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Social media use and adolescent sleep patterns: cross-sectional findings from the UK millennium cohort study.

ABSTRACT: OBJECTIVES:This study examines associations between social media use and multiple sleep parameters in a large representative adolescent sample, controlling for a wide range of covariates. DESIGN:The authors used cross-sectional data from the Millennium Cohort Study, a large nationally representative UK birth cohort study. PARTICIPANTS:Data from 11?872 adolescents (aged 13-15 years) were used in analyses. METHODS:Six self-reported sleep parameters captured sleep timing and quality: sleep onset and wake times (on school days and free days), sleep onset latency (time taken to fall asleep) and trouble falling back asleep after nighttime awakening. Binomial logistic regressions investigated associations between daily social media use and each sleep parameter, controlling for a range of relevant covariates. RESULTS:Average social media use was 1 to <3?hours per day (31.6%, n=3720). 33.7% were classed as low users (<1?hour; n=3986); 13.9% were high users (3 to <5?hours; n=1602) and 20.8% were very high users (5+ hours; n=2203). Girls reported spending more time on social media than boys. Overall, heavier social media use was associated with poorer sleep patterns, controlling for covariates. For example, very high social media users were more likely than comparable average users to report late sleep onset (OR 2.14, 95%?CI 1.83 to 2.50) and wake times (OR 1.97, 95%?CI 1.32 to 2.93) on school days and trouble falling back asleep after nighttime awakening (OR 1.36, 95%?CI 1.10 to 1.66). CONCLUSIONS:This study provides a normative profile of UK adolescent social media use and sleep. Results indicate statistically and practically significant associations between social media use and sleep patterns, particularly late sleep onset. Sleep education and interventions can focus on supporting young people to balance online interactions with an appropriate sleep schedule that allows sufficient sleep on school nights.

SUBMITTER: Scott H

PROVIDER: S-EPMC6830469 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Social media use and adolescent sleep patterns: cross-sectional findings from the UK millennium cohort study.

Scott Holly H Biello Stephany M SM Woods Heather Cleland HC

BMJ open 20191022 9

<h4>Objectives</h4>This study examines associations between social media use and multiple sleep parameters in a large representative adolescent sample, controlling for a wide range of covariates.<h4>Design</h4>The authors used cross-sectional data from the Millennium Cohort Study, a large nationally representative UK birth cohort study.<h4>Participants</h4>Data from 11 872 adolescents (aged 13-15 years) were used in analyses.<h4>Methods</h4>Six self-reported sleep parameters captured sleep timin ...[more]

PMID: 31641035

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Project description:BackgroundEarly adolescent years are marked by pervasive self- and peer-regulation regarding gender and sexuality norms, which can affect the mental well-being of sexual minority youth. During this developmental period, social media use is also emerging as a dominant mode of communication with peers, allowing for both risk and resilient behaviors that can impact well-being.ObjectiveThis exploratory study aims to examine how sexual minorities in middle school use social media, who they are connected to and for what purposes, and the associations between these behaviors and mental well-being compared with their heterosexual peers.MethodsIn our cross-sectional survey study of 1033 early adolescents aged between 10 and 16 years (average age 12.7, SD 1.21 years) from 4 middle school sites in the Northeastern United States, we conducted an exploratory study comparing sexual minorities (212/873, 24.3% of sample with known sexual orientation) with their heterosexual peers (n=661), obtaining an 84.46% (1033/1223; total possible) response rate.ResultsSexual minorities reported having smaller networks on their favorite social media website (β=-.57; P<.001), less often responded positively when friends shared good news (β=-.35; P=.002), and less often tried to make friends feel better when they shared bad news (β=-.30; P=.01). However, sexual minorities more often reported joining a group or web-based community to make themselves feel less alone (β=.28; P=.003), unlike heterosexual youth. Sexual minorities had higher averages of loneliness and social isolation (β=.19; P<.001) than heterosexual students. Sexual minorities were also twice as likely to have tried to harm themselves in the past (β=.81; odds ratio [OR] 2.24, 95% CI 1.64-3.06; P<.001) and were more likely to have symptoms that reached the Center for Epidemiological Studies-Depression definition of depression (β=.15; OR 1.16, 95% CI 1.08-1.25; P<.001). About 39.1% (83/212) of sexual minorities had no one to talk to about their sexual orientation. Sexual minorities were 1.5 times more likely to have joined a social media website their parents would disapprove (β=.41; OR 1.50, 95% CI 1.14-1.97; P=.004) and more likely to report seeing videos related to self-harm (β=.33; OR 1.39, 95% CI 1.06-1.83; P=.02) on the web than heterosexual youth.ConclusionsGiven previous reports of supportive and safe web-based spaces for sexual minority youth, our findings demonstrated that sexual minority youth prefer to maintain small, close-knit web-based communities (apart from their families) to express themselves, particularly when reaching out to web-based communities to reduce loneliness. Future longitudinal studies could determine any bidirectional influences of mental well-being and social media use in sexual minorities during this difficult developmental period.

Project description:BackgroundThe use of technology and social media among adolescents is an increasingly prevalent phenomenon. However, there is a paucity of evidence on the relationship between frequency of use of electronic devices and social media and sleep-onset difficulties among the Italian population.ObjectiveThe aim of this study is to investigate the association between the use of technology and social media, including Facebook and YouTube, and sleep-onset difficulties among adolescents from Lombardy, the most populous region in Italy.MethodsThe relationship between use of technology and social media and sleep-onset difficulties was investigated. Data came from the 2013-2014 wave of the Health Behavior in School-aged Children survey, a school-based cross-sectional study conducted on 3172 adolescents aged 11 to 15 years in Northern Italy. Information was collected on difficulties in falling asleep over the last 6 months. We estimated the odds ratios (ORs) for sleep-onset difficulties and corresponding 95% CIs using logistic regression models after adjustment for major potential confounders.ResultsThe percentage of adolescents with sleep-onset difficulties was 34.3% (1081/3151) overall, 29.7% (483/1625) in boys and 39.2% (598/1526) in girls. It was 30.3% (356/1176) in 11-year-olds, 36.2% (389/1074) in 13-year-olds, and 37.3% (336/901) in 15-year-olds. Sleep-onset difficulties were more frequent among adolescents with higher use of electronic devices, for general use (OR 1.50 for highest vs lowest tertile of use; 95% CI 1.21-1.85), use for playing games (OR 1.35; 95% CI 1.11-1.64), use of online social networks (OR 1.40 for always vs never or rarely; 95% CI 1.09-1.81), and YouTube (OR 2.00; 95% CI 1.50-2.66).ConclusionsThis study adds novel information about the relationship between sleep-onset difficulties and technology and social media in a representative sample of school-aged children from a geographical location that has not been included in studies of this type previously. Exposure to screen-based devices and online social media is significantly associated with adolescent sleep-onset difficulties. Interventions to create a well-coordinated parent- and school-centered strategy, thereby increasing awareness on the unfavorable effect of evolving technologies on sleep among adolescents, are needed.

Project description:BackgroundGenetic and environmental risk factors contribute to periodontal disease, but the underlying susceptibility pathways are not fully understood. Epigenetic mechanisms are malleable regulators of gene function that can change in response to genetic and environmental stimuli, thereby providing a potential mechanism for mediating risk effects in periodontitis. The aim of this study is to identify epigenetic changes across tissues that are associated with periodontal disease.MethodsSelf-reported gingival bleeding and history of gum disease, or tooth mobility, were used as indicators of periodontal disease. DNA methylation profiles were generated using the Infinium HumanMethylation450 BeadChip in whole blood, buccal, and adipose tissue samples from predominantly older female twins (mean age 58) from the TwinsUK cohort. Epigenome-wide association scans (EWAS) of gingival bleeding and tooth mobility were conducted in whole blood in 528 and 492 twins, respectively. Subsequently, targeted candidate gene analysis at 28 genomic regions was carried out testing for phenotype-methylation associations in 41 (tooth mobility) and 43 (gingival bleeding) buccal, and 501 (tooth mobility) and 556 (gingival bleeding) adipose DNA samples.ResultsEpigenome-wide analyses in blood identified one CpG-site (cg21245277 in ZNF804A) associated with gingival bleeding (FDR = 0.03, nominal p value = 7.17e-8) and 58 sites associated with tooth mobility (FDR < 0.05) with the top signals in IQCE and XKR6. Epigenetic variation at 28 candidate regions (247 CpG-sites) for chronic periodontitis showed an enrichment for association with periodontal traits, and signals in eight genes (VDR, IL6ST, TMCO6, IL1RN, CD44, IL1B, WHAMM, and CXCL1) were significant in both traits. The methylation-phenotype association signals validated in buccal samples, and a subset (25%) also validated in adipose tissue.ConclusionsEpigenome-wide analyses in adult female twins identified specific DNA methylation changes linked to self-reported periodontal disease. Future work will explore the environmental basis and functional impact of these results to infer potential for strategic personalized treatments and prevention of chronic periodontitis.

Project description:ObjectiveThe relationship between insomnia symptoms and cognitive performance is unclear, particularly at the population level. We conducted the largest examination of this association to date through analysis of the UK Biobank, a large population-based sample of adults aged 40-69 years. We also sought to determine associations between cognitive performance and self-reported chronotype, sleep medication use and sleep duration.MethodsThis cross-sectional, population-based study involved 477,529 participants, comprising 133,314 patients with frequent insomnia symptoms (age: 57.4 ± 7.7 years; 62.1% female) and 344,215 controls without insomnia symptoms (age: 56.1 ± 8.2 years; 52.0% female). Cognitive performance was assessed by a touchscreen test battery probing reasoning, basic reaction time, numeric memory, visual memory, and prospective memory. Adjusted models included relevant demographic, clinical, and sleep variables.ResultsFrequent insomnia symptoms were associated with cognitive impairment in unadjusted models; however, these effects were reversed after full adjustment, leaving those with frequent insomnia symptoms showing statistically better cognitive performance over those without. Relative to intermediate chronotype, evening chronotype was associated with superior task performance, while morning chronotype was associated with the poorest performance. Sleep medication use and both long (>9 h) and short (<7 h) sleep durations were associated with impaired performance.ConclusionsOur results suggest that after adjustment for potential confounding variables, frequent insomnia symptoms may be associated with a small statistical advantage, which is unlikely to be clinically meaningful, on simple neurocognitive tasks. Further work is required to examine the mechanistic underpinnings of an apparent evening chronotype advantage in cognitive performance and the impairment associated with morning chronotype, sleep medication use, and sleep duration extremes.

Dataset Information

Social media use and adolescent sleep patterns: cross-sectional findings from the UK millennium cohort study.

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Social media use and adolescent sleep patterns: cross-sectional findings from the UK millennium cohort study.

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