R F Jackson, K A Meredith-Jones, J J Haszard, B C Galland, S Morrison, M Jaques, R W Taylor
{"title":"睡眠不足对儿童屏幕时间的影响:使用屏幕时间客观测量的随机交叉试验的二次分析。","authors":"R F Jackson, K A Meredith-Jones, J J Haszard, B C Galland, S Morrison, M Jaques, R W Taylor","doi":"10.1111/ijpo.70050","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>How reduced sleep impacts screen time in children is unclear.</p><p><strong>Objectives: </strong>To explore how reduced sleep impacts objectively measured screen use.</p><p><strong>Methods: </strong>One hundred and five children (8-12 years) with caregiver-reported sleep of 8-11 h/night were randomised to 7 nights sleep extension (go to bed 1 h earlier) or sleep restriction (bed 1 h later) in a crossover trial with a 7-night washout between conditions. Sleep and time awake were measured using waist-worn accelerometry (ActiGraph wGT3X-BT) and screen time using wearable cameras (Brinno TLC130 Timelapse) and questionnaires. Camera images were coded as time spent on screens (raw data), including imputation for blocked images (Rules 1 and 2). Within-person differences (95% CI) were calculated in those with matched camera data across sleep intervention weeks, in minutes and as percentage of awake time.</p><p><strong>Results: </strong>Screen time before school or on weekends did not differ in the 49 children (10.4 years, 51% female, 41% overweight, 78% European) with suitable camera data. After school, children appeared to have similar screen time using raw data (median difference; 25th, 75th percentiles: 18.7 min; -10.2, 72.5), but greater screen time during sleep restriction compared with extension after allowance for blocked images (Rule 2: 66.3 min; 7.5, 102.9 or 6% of awake time; 0.5, 10.0). Parents (n = 98) reported greater total screen use in children during the sleep restriction week (mean difference; 95% CI: 16.8 min; 1.8, 31.8).</p><p><strong>Conclusions: </strong>In this secondary analysis, getting less sleep appeared to increase screen time in children during the weekday afternoon and evening hours, compared to when they received more sleep.</p><p><strong>Trial registration: </strong>ACTRN12618001671257 Australian New Zealand Clinical Trials Registry; ANZCTR.</p>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":" ","pages":"e70050"},"PeriodicalIF":2.7000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Sleep Loss on Screen Time in Children: Secondary Analyses of a Randomised Crossover Trial Using Objective Measures of Screen Time.\",\"authors\":\"R F Jackson, K A Meredith-Jones, J J Haszard, B C Galland, S Morrison, M Jaques, R W Taylor\",\"doi\":\"10.1111/ijpo.70050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>How reduced sleep impacts screen time in children is unclear.</p><p><strong>Objectives: </strong>To explore how reduced sleep impacts objectively measured screen use.</p><p><strong>Methods: </strong>One hundred and five children (8-12 years) with caregiver-reported sleep of 8-11 h/night were randomised to 7 nights sleep extension (go to bed 1 h earlier) or sleep restriction (bed 1 h later) in a crossover trial with a 7-night washout between conditions. Sleep and time awake were measured using waist-worn accelerometry (ActiGraph wGT3X-BT) and screen time using wearable cameras (Brinno TLC130 Timelapse) and questionnaires. Camera images were coded as time spent on screens (raw data), including imputation for blocked images (Rules 1 and 2). Within-person differences (95% CI) were calculated in those with matched camera data across sleep intervention weeks, in minutes and as percentage of awake time.</p><p><strong>Results: </strong>Screen time before school or on weekends did not differ in the 49 children (10.4 years, 51% female, 41% overweight, 78% European) with suitable camera data. After school, children appeared to have similar screen time using raw data (median difference; 25th, 75th percentiles: 18.7 min; -10.2, 72.5), but greater screen time during sleep restriction compared with extension after allowance for blocked images (Rule 2: 66.3 min; 7.5, 102.9 or 6% of awake time; 0.5, 10.0). Parents (n = 98) reported greater total screen use in children during the sleep restriction week (mean difference; 95% CI: 16.8 min; 1.8, 31.8).</p><p><strong>Conclusions: </strong>In this secondary analysis, getting less sleep appeared to increase screen time in children during the weekday afternoon and evening hours, compared to when they received more sleep.</p><p><strong>Trial registration: </strong>ACTRN12618001671257 Australian New Zealand Clinical Trials Registry; ANZCTR.</p>\",\"PeriodicalId\":217,\"journal\":{\"name\":\"Pediatric Obesity\",\"volume\":\" \",\"pages\":\"e70050\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pediatric Obesity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/ijpo.70050\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pediatric Obesity","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/ijpo.70050","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
The Impact of Sleep Loss on Screen Time in Children: Secondary Analyses of a Randomised Crossover Trial Using Objective Measures of Screen Time.
Background: How reduced sleep impacts screen time in children is unclear.
Objectives: To explore how reduced sleep impacts objectively measured screen use.
Methods: One hundred and five children (8-12 years) with caregiver-reported sleep of 8-11 h/night were randomised to 7 nights sleep extension (go to bed 1 h earlier) or sleep restriction (bed 1 h later) in a crossover trial with a 7-night washout between conditions. Sleep and time awake were measured using waist-worn accelerometry (ActiGraph wGT3X-BT) and screen time using wearable cameras (Brinno TLC130 Timelapse) and questionnaires. Camera images were coded as time spent on screens (raw data), including imputation for blocked images (Rules 1 and 2). Within-person differences (95% CI) were calculated in those with matched camera data across sleep intervention weeks, in minutes and as percentage of awake time.
Results: Screen time before school or on weekends did not differ in the 49 children (10.4 years, 51% female, 41% overweight, 78% European) with suitable camera data. After school, children appeared to have similar screen time using raw data (median difference; 25th, 75th percentiles: 18.7 min; -10.2, 72.5), but greater screen time during sleep restriction compared with extension after allowance for blocked images (Rule 2: 66.3 min; 7.5, 102.9 or 6% of awake time; 0.5, 10.0). Parents (n = 98) reported greater total screen use in children during the sleep restriction week (mean difference; 95% CI: 16.8 min; 1.8, 31.8).
Conclusions: In this secondary analysis, getting less sleep appeared to increase screen time in children during the weekday afternoon and evening hours, compared to when they received more sleep.
Trial registration: ACTRN12618001671257 Australian New Zealand Clinical Trials Registry; ANZCTR.
期刊介绍:
Pediatric Obesity is a peer-reviewed, monthly journal devoted to research into obesity during childhood and adolescence. The topic is currently at the centre of intense interest in the scientific community, and is of increasing concern to health policy-makers and the public at large.
Pediatric Obesity has established itself as the leading journal for high quality papers in this field, including, but not limited to, the following:
Genetic, molecular, biochemical and physiological aspects of obesity – basic, applied and clinical studies relating to mechanisms of the development of obesity throughout the life course and the consequent effects of obesity on health outcomes
Metabolic consequences of child and adolescent obesity
Epidemiological and population-based studies of child and adolescent overweight and obesity
Measurement and diagnostic issues in assessing child and adolescent adiposity, physical activity and nutrition
Clinical management of children and adolescents with obesity including studies of treatment and prevention
Co-morbidities linked to child and adolescent obesity – mechanisms, assessment, and treatment
Life-cycle factors eg familial, intrauterine and developmental aspects of child and adolescent obesity
Nutrition security and the "double burden" of obesity and malnutrition
Health promotion strategies around the issues of obesity, nutrition and physical activity in children and adolescents
Community and public health measures to prevent overweight and obesity in children and adolescents.