Gale Emma Louise, Williams Andrew James, Cecil Joanne E
School of Medicine, University of St. Andrews, Scotland, UK.
School of Health in Social Sciences, University of Edinburgh, Scotland, UK.
BMC Glob Public Health. 2025 May 7;3(1):42. doi: 10.1186/s44263-025-00160-y.
The overall quantity of screen time has been associated with short sleep duration and increasingly sedentary lifestyles, leading to adiposity. The aim of this research was to explore which components of screen time usage are shared determinants of poor sleep and higher adiposity in adolescents, using data from the Teen Sleep Well Study.
A cross-sectional study of adolescents aged 11-14 years in Fife, Scotland was conducted. Sleep was measured objectively using the Actigraph GT3X-BT and subjectively using validated questionnaires. Adiposity was assessed using body fat percentage (BF%) and obesity was measured using body mass index percentile (BMIp). Four components of screen time were addressed using questionnaires: the timing of screen time, quantity of screen time, location of screen time, and screen time addiction. Descriptive statistics and statistical tests such as Pearson correlation tables, and adjusted regression analyses were used. Mediation analyses explored wellbeing as a factor in the association between screen time and sleep and obesity.
Sixty-two participants (33 female/29 male, mean age 12.2 ± 1.1 years, mean BMIp 60.3 ± 32.1) completed the study. Excessive screen time pre-sleep (30 min before sleep) and post-sleep (first 30 min after waking), excessive screen time on a weekend, and screen time addiction were shared determinants of higher adiposity, a later chronotype (evening-preference) and poor sleep outcomes: poor sleep habits, increased insomnia symptoms (IS) and increased sleep onset variability. Mediation analyses confirmed that adolescent wellbeing mediated the association between pre-sleep screen time and IS (36.3%) and BF% (21.9%), post-sleep screen time and IS (37.7%) and BF% (30.4%), videogaming addiction and IS (31.9%) and BF% (34.6%), social media addiction and IS (35.0%) and BF% (17.4%), mobile phone addiction and IS (34.0%) and BF% (10.6%), weekday screen time and IS (58.1%) and BF% (39.8%), and weekend screen time and IS (51.4%) and BF% (38.0%).
These screen time behaviours, alongside wellbeing should be considered in multi-component health-promoting interventions aimed at improving adolescent sleep and reducing obesity risk. Future research should employ longitudinal designs to clarify the directionality of these associations and determine the effectiveness of interventions that target both screen time behaviours and wellbeing.
总的屏幕使用时间与短睡眠时间以及日益久坐的生活方式有关,进而导致肥胖。本研究的目的是利用青少年良好睡眠研究的数据,探讨屏幕使用时间的哪些组成部分是青少年睡眠不佳和肥胖程度较高的共同决定因素。
对苏格兰法夫郡11至14岁的青少年进行了一项横断面研究。使用Actigraph GT3X - BT客观测量睡眠,并使用经过验证的问卷主观测量睡眠。使用体脂百分比(BF%)评估肥胖程度,使用体重指数百分位数(BMIp)测量肥胖情况。通过问卷探讨屏幕使用时间的四个组成部分:屏幕使用时间的时段、屏幕使用时间的时长、屏幕使用的地点以及屏幕使用成瘾情况。使用描述性统计和统计检验,如Pearson相关表和调整后的回归分析。中介分析探讨了幸福感作为屏幕使用时间与睡眠和肥胖之间关联的一个因素。
62名参与者(33名女性/29名男性,平均年龄12.2±1.1岁,平均BMIp 60.3±32.1)完成了研究。睡前(睡眠前30分钟)和睡醒后(醒来后的前30分钟)的屏幕使用时间过长、周末屏幕使用时间过长以及屏幕使用成瘾是肥胖程度较高、较晚的生物钟类型(偏好夜晚)和睡眠不良结果的共同决定因素:睡眠习惯差、失眠症状(IS)增加和入睡变异性增加。中介分析证实,青少年的幸福感介导了睡前屏幕使用时间与IS(36.3%)和BF%(21.9%)、睡醒后屏幕使用时间与IS(37.7%)和BF%(30.4%)、电子游戏成瘾与IS(31.9%)和BF%(34.6%)、社交媒体成瘾与IS(35.0%)和BF%(17.4%)、手机成瘾与IS(34.0%)和BF%(10.6%)、工作日屏幕使用时间与IS(58.1%)和BF%(39.8%)以及周末屏幕使用时间与IS(51.4%)和BF%(38.0%)之间的关联。
在旨在改善青少年睡眠和降低肥胖风险的多成分健康促进干预措施中,应考虑这些屏幕使用时间行为以及幸福感。未来的研究应采用纵向设计来阐明这些关联的方向性,并确定针对屏幕使用时间行为和幸福感的干预措施的有效性。