Correlation between bedtime screen use behavior and sleep health among fourth- and fifth-grade primary school students
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摘要:
目的 探究四五年级小学生睡前视屏行为与睡眠健康之间的关系,为促进小学生睡眠健康提供参考依据。 方法 2024年4—6月在北京市某区9所小学4 232名四五年级小学生中开展调查,使用自编问卷调查小学生的睡前视屏行为与睡眠情况,采用广义线性模型和Logistic回归分析小学生睡前视屏行为与睡眠健康的相关性。 结果 28.3%的小学生报告存在睡前视屏行为,上学日和周末每天睡眠时长分别为(9.31±0.90)(10.08±1.36)h;报告存在睡前视屏行为的小学生,上学日和周末的就寝时间每天分别推迟10.18(95%CI=6.88~13.47)和22.09(95%CI=17.33~26.85)min,周末晨起时间推迟7.97(95%CI=1.78~14.16)min,上学日和周末的睡眠时长每天分别减少9.82(95%CI=-13.62~-6.03)和14.12(95%CI=-20.24~-8.00)min(P值均 < 0.05);周末-上学日就寝时间差更大[β值(95%CI)=1.15(1.08~1.23), P < 0.01];入睡时间≤20 min、日间保持清醒警觉和主观睡眠满意的可能性更低[OR值(95%CI)分别为0.62(0.54~0.72)、0.66(0.56~0.77)和0.57(0.49~0.66), P值均 < 0.01]。 结论 睡前视屏行为可对小学生多维度睡眠健康造成负面影响,减少睡前视屏行为可能有助于促进小学生睡眠健康。 Abstract:Objective To investigate the association between bedtime screen use and sleep health among fourth- and fifth-grade primary school students, so as to provide evidence to support interventions for improving sleep quality. Methods From April to June 2024, a survey was conducted among 4 232 fourth- and fifth-grade students from nine primary schools in a district of Beijing. A self-designed questionnaire assessed bedtime screen use behavior and sleep health indicators. Generalized linear models and Logistic regression were used to analyze the associations. Results Among the surveyed students, 28.3% reported bedtime screen use. Mean sleep duration every day was (9.31±0.90) hours on school days and (10.08±1.36) hours on weekends. Compared to non-users, students with bedtime screen use exhibited every day: later bedtimes on school days (10.18 min delay, 95%CI=6.88-13.47) and weekends (22.09 min delay, 95%CI=17.33-26.85) (P < 0.05); later weekend wake times (7.97 min delay, 95%CI=1.78-14.16, P < 0.05); reduced sleep duration on school days (-9.82 min, 95%CI=-13.62 to -6.03) and weekends (-14.12 min, 95%CI=-20.24 to -8.00) (P < 0.05); greater weekend-school day bedtime discrepancy (β=1.15, 95%CI=1.08-1.23, P < 0.01). Additionally, they had lower odds of falling asleep within 20 minutes (OR=0.62, 95%CI=0.54-0.72), daytime alertness (OR=0.66, 95%CI=0.56-0.77), and subjective sleep satisfaction (OR=0.57, 95%CI=0.49-0.66)(P < 0.01). Conclusions Bedtime screen use is associated with adverse effects on multiple dimensions of sleep health in primary school students. Reducing screen exposure before bed may help improve their sleep quality. -
Key words:
- Fixation, ocular /
- Behavior /
- Sleep /
- Mental health /
- Regression analysis /
- Students
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表 1 不同组别小学生睡前视屏行为报告率比较
Table 1. Comparison of the reporting rate of bedtime screen use behavior among primary school students in different groups
组别 选项 人数 睡前视屏行为 χ2值 P值 性别 男 2 159 633(29.3) 2.33 0.13 女 2 073 564(27.2) 年级 四 2 541 635(25.0) 34.02 < 0.01 五 1 691 562(33.2) 父亲文化水平 高中及以下 699 223(31.9) 5.40 0.02 大专及以上 3 533 974(27.6) 母亲文化水平 高中及以下 524 146(27.9) 0.05 0.82 大专及以上 3 708 1 051(28.3) 父亲就寝时间 22:00及以前 1 115 306(27.4) 0.53 0.47 22:00以后 3 117 891(28.6) 母亲就寝时间 22:00及以前 1 714 467(27.2) 1.53 0.22 22:00以后 2 518 730(29.0) 自评学习负担 轻 1 120 227(20.3) 106.60 < 0.01 一般 2 550 721(28.3) 重 562 249(44.3) 每天视屏时长/h ≤1 2 840 577(20.3) 270.22 < 0.01 >1 1 392 620(44.5) 每天午睡时长/ 0 1 224 468(38.2) 103.50 < 0.01 min 1~30 1 463 409(28.0) >30 1 545 320(20.7) 每天户外活动 < 2 2 636 860(32.6) 64.93 < 0.01 时长/h ≥2 1 596 337(21.1) 注:()内数字为报告率/%。 表 2 有无睡前视屏行为小学生各项睡眠指标比较
Table 2. Comparison of bedtime screen use behavior and sleep indicators among primary school students
睡前视屏行为 人数 睡眠时点a 每天睡眠时长a 睡眠相关行为b 上学日就寝时间 周末就寝时间 上学日晨起时间 周末晨起时间 上学日睡眠时长/min 周末睡眠时长/min |周末-上学日就寝时间差|/min |周末-上学日晨起时间差|/min 社会时差/min 有 1 197 21:47±0.83 22:31±1.25 6:53±0.57 8:23±1.57 545.72±56.29 591.47±89.82 40(20, 65) 80(50, 130) 60(32, 95) 无 3 035 21:30±0.73 21:56±1.02 6:54±0.60 8:07±1.28 563.76±52.47 610.26±77.44 30(15, 60) 65(30, 110) 45(22, 75) 总体 4 232 21:35±0.77 22:06±1.12 6:54±0.58 8:11±1.38 558.66±54.18 604.94±81.56 30(15, 60) 70(40, 120) 50(25, 80) t/H值 10.40 14.28 -0.65 5.22 -9.57 -6.36 71.15 65.90 102.09 P值 < 0.01 < 0.01 0.51 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 注:a指标以($\bar{x} \pm s)表示,组间比较采用t检验;b指标以M(P25, P75)表示,组间比较采用Kruskal-Wallis检验。睡眠时间均数采用24 h制描述,标准差单位为小时数。 表 3 小学生睡前视屏行为与各项睡眠指标的广义线性模型分析(n=4 232)
Table 3. Generalized linear models analysis of bedtime screen use behavior and sleep indicators among primary school students (n=4 232)
自变量 睡眠指标 β值(95%CI) P值 睡眠时点 上学日就寝时间 10.18(6.88~13.47) < 0.01 周末就寝时间 22.09(17.33~26.85) < 0.01 上学日晨起时间 0.35(-2.17~2.88) 0.79 周末晨起时间 7.97(1.78~14.16) 0.01 睡眠时长/ 上学日睡眠时长 -9.82(-13.62~-6.03) < 0.01 min 周末睡眠时长 -14.12(-20.24~-8.00) < 0.01 睡眠相关 周末-上学日就寝时间a 1.15(1.08~1.23) < 0.01 行为/min 周末-上学日晨起时间a 1.12(1.06~1.19) < 0.01 社会时差a 1.17(1.11~1.24) < 0.01 注:a因变量转换为对数值纳入回归分析,表中的β值(95%CI)已转换为原始尺度。 -
[1] YUSHU Z, ZHENGJING H, MEI Z, et al. Sleep status among children and adolescents aged 6-17 years: China, 2016-2017[J]. China CDC Weekly, 2023, 5(1): 11-16. doi: 10.46234/ccdcw2023.003 [2] 陈仪婷, 吕佳骏, 夏缘青, 等. 上海市3~12岁儿童睡眠状况[J]. 中国学校卫生, 2021, 42(6): 814-818.CHEN Y T, LV J J, XIA Y Q, et al. Sleep status of children aged 3-12 years in Shanghai[J]. Chin J Sch Health, 2021, 42(6): 814-818. (in Chinese) [3] HARTSTEIN L E, MATHEW G M, REICHENBERGER D A, et al. The impact of screen use on sleep health across the lifespan: a national sleep foundation consensus statement[J]. Sleep Health, 2024, 10(4): 373-384. doi: 10.1016/j.sleh.2024.05.001 [4] CARTER B, REES P, HALE L, et al. Association between portable screen-based media device access or use and sleep outcomes: a systematic review and Meta-analysis[J]. JAMA Pediatr, 2016, 170(12): 1202-1208. doi: 10.1001/jamapediatrics.2016.2341 [5] BRAUTSCH L A, LUND L, ANDERSEN M M, et al. Digital media use and sleep in late adolescence and young adulthood: a systematic review[J]. Sleep Med Rev, 2023, 68: 101742. doi: 10.1016/j.smrv.2022.101742 [6] HALE L, GUAN S. Screen time and sleep among school-aged children and adolescents: a systematic literature review[J]. Sleep Med Rev, 2015, 21: 50-88. doi: 10.1016/j.smrv.2014.07.007 [7] MELTZER L J, WILLIAMSON A A, MINDELL J A. Pediatric sleep health: it matters, and so does how we define it[J]. Sleep Med Rev, 2021, 57: 101425. doi: 10.1016/j.smrv.2021.101425 [8] BUYSSE D J. Sleep health: can we define it? Does it matter?[J]. Sleep, 2014, 37(1): 9-17. doi: 10.5665/sleep.3298 [9] OWENS J A, SPIRITO A, MCGUINN M. The Children's Sleep Habits Questionnaire (CSHQ): psychometric properties of a survey instrument for school-aged children[J]. Sleep, 2000, 23(8): 1043-1051. http://www.documbase.com/goto/16695072-1afa8b41da1944133fbd36b50f833a19/CHILDREN'S-SLEEP-HABITS-QUESTIONNAIRE-(CSHQ).pdf [10] 扈娜, 孟令弟, 刘堃. 中文版小儿白天嗜睡量表的信效度研究[J]. 中国儿童保健杂志, 2018, 26(7): 725-728.HU N, MENG L D, LIU K. Reliability and validity of the Chinese version of Pediatric Daytime Sleepiness Scale[J]. Chin J Child Health Care, 2018, 26(7): 725-728. (in Chinese) [11] SUN W, LING J, ZHU X, et al. Associations of weekday-to-weekend sleep differences with academic performance and health-related outcomes in school-age children and youths[J]. Sleep Med Rev, 2019, 46: 27-53. doi: 10.1016/j.smrv.2019.04.003 [12] STORFER-ISSER A, LEBOURGEOIS M K, HARSH J, et al. Psychometric properties of the adolescent sleep hygiene scale[J]. J Sleep Res, 2013, 22(6): 707-716. doi: 10.1111/jsr.12059 [13] NAGATA J M, SINGH G, YANG J H, et al. Bedtime screen use behaviors and sleep outcomes: findings from the Adolescent Brain Cognitive Development (ABCD) Study[J]. Sleep Health, 2023, 9(4): 497-502. doi: 10.1016/j.sleh.2023.02.005 [14] KORTESOJA L, VAINIKAINEN M P, HOTULAINEN R, et al. Late-night digital media use in relation to chronotype, sleep and tiredness on school days in adolescence[J]. J Youth Adolesc, 2023, 52(2): 419-433. doi: 10.1007/s10964-022-01703-4 [15] GARMY P, WARD T M. Sleep habits and nighttime texting among adolescents[J]. J Sch Nurs, 2018, 34(2): 121-127. doi: 10.1177/1059840517704964 [16] CHARMARAMAN L, RICHER A M, BEN-JOSEPH E P, et al. Quantity, content, and context matter: associations among social technology use and sleep habits in early adolescents[J]. J Adolesc Health, 2021, 69(1): 162-165. doi: 10.1016/j.jadohealth.2020.09.035 [17] WANG W, DU X, GUO Y, et al. Associations among screen time, sleep duration and depressive symptoms among Chinese adolescents[J]. J Affect Dis, 2021, 284: 69-74. doi: 10.1016/j.jad.2021.01.082 [18] 黄莉, 王玮铭, 刘艳红, 等. 学龄儿童晚睡现状及影响因素研究[J]. 中国健康教育, 2024, 40(10): 901-906.HUANG L, WANG W M, LIU Y H, et al. Prevalence of bedtime delay and its influencing factors in school-age students. Chin J Health Educ, 2024, 40(10): 901-906. (in Chinese) [19] 李生慧, 沈晓明, 金星明, 等. 上海市学龄儿童电视和电脑使用对睡眠行为的影响[J]. 上海交通大学学报(医学版), 2009, 29(7): 763-766.LI S H, SHEN X M, JIN X M, et al. Impact of television-watching and computer-using on sleep patterns and sleep problems of school-aged children in Shanghai[J]. J Shanghai Jiaotong Univ Med Sci, 2009, 29(7): 763-766. (in Chinese) [20] MACKENZIE M D, SCOTT H, REID K, et al. Adolescent perspectives of bedtime social media use: a qualitative systematic review and thematic synthesis[J]. Sleep Med Rev, 2022, 63: 101626. doi: 10.1016/j.smrv.2022.101626 -

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